Skip to main content
Erschienen in: BMC Public Health 1/2016

Open Access 01.12.2016 | Research article

A systematic review of physical activity and sedentary behaviour research in the oil-producing countries of the Arabian Peninsula

verfasst von: Ruth Mabry, Mohammad Javad Koohsari, Fiona Bull, Neville Owen

Erschienen in: BMC Public Health | Ausgabe 1/2016

Abstract

Background

The dramatic rise in Noncommunicable Diseases (NCD) in the oil-producing countries of the Arabian Peninsula is driven in part by insufficient physical activity, one of the five main contributors to health risk in the region. The aim of this paper is to review the available evidence on physical activity and sedentary behaviour for this region. Based on the findings, we prioritize an agenda for research that could inform policy initiatives with regional relevance.

Methods

We reviewed regional evidence on physical activity and sedentary behaviour to identify the needs for prevention and policy-related research. A literature search of peer-reviewed publications in the English language was conducted in May 2016 using PubMed, Web of Science and Google Scholar. 100 studies were identified and classified using the Behavioural Epidemiology Framework.

Results

Review findings demonstrate that research relevant to NCD prevention is underdeveloped in the region. A majority of the studies were epidemiological in approach with few being large-scale population-based studies using standardised measures. Correlates demonstrated expected associations with health outcomes, low levels of physical activity (particularly among young people), high levels of sedentary behaviour (particularly among men and young people) and expected associations of known correlates (e.g. gender, age, education, time, self-motivation, social support, and access). Very few studies offered recommendations for translating research findings into practice.

Conclusions

Further research on the determinants of physical activity and sedentary behaviour in the Arabian Peninsula using standard assessment tools is urgently needed. Priority research includes examining these behaviours across the four domains (household, work, transport and leisure). Intervention research focusing on the sectors of education, health and sports sectors is recommended. Furthermore, adapting and testing international examples to the local context would help identify culturally relevant policy and programmatic interventions for the region.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s12889-016-3642-4) contains supplementary material, which is available to authorized users.

Background

Noncommunicable disease (NCD) accounts for a large portion of mortality and morbidity in the oil-producing countries of the Arabian Peninsula (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and United Arab Emirates; UAE) [1, 2]. A large majority of NCD mortality is due to cardiovascular disease. For example, more than a quarter of the adult population has high blood pressure and high blood glucose [3]. More than half of adults in the region are currently overweight or obese [3]. In the context of the links between maternal obesity and gestational diabetes and the health of unborn children globally [4], these regional prevalences combined with a high rate of congenital anomalies [2, 5] have far reaching implications for the health of future generations.
Insufficient physical activity (defined as less than 150 min of moderate physical activity per week) is one of the main contributors to health risk globally [3]. Sedentary behaviour (any waking behaviour characterized by an energy expenditure ≤1.5 METs while in a sitting or reclining posture [6, 7]) is a newer area of research; it has associations with all-cause and cardiovascular disease mortality, diabetes, and obesity when controlling for the influence of moderate-vigorous physical activity [8, 9]. The latest research indicates that a high level of moderate physical activity attenuates, but does not eliminate, the risk of high sitting time [10]. Despite the growing research confirming these associations, there is insufficient research documenting their relevance for the six oil-producing countries of the Arabian Peninsula.
The rapid socio-economic development of the region has contributed to a rise in urbanization, motorisation, trade liberalization and “western” dietary patterns [1, 11] which are widely recognized as key contributors to the rise of NCDs globally [1214]. Although the radical changes in the food environment and consumption patterns in the region have been documented [1, 11], there is less evidence about the relationship between physical activity and sedentary behaviour and NCDs [15, 16]. There is also limited documentation of the shifts in occupational and transport (car-dependent) patterns in the region and their impact on physical activity [1]. Evidence that would help identify the social and cultural contexts that may limit people’s mobility, especially women, is sparse [15, 17]. The role of the hot arid climate has yet to be adequately specified [17, 18]. Thus, more thorough documentation of physical activity and sedentary behaviour in the region is an important priority, particularly as it relates to NCD prevention.
Research establishing patterns of physical activity and sedentary behaviour is well-documented in most other regions globally [14, 1921]. The Behavioural Epidemiology Framework was developed as a simple approach to understand these patterns and build the evidence needed to inform public health action on physical activity and sedentary behaviour [22, 23]. It organizes research into the following phases:
  • Phase 1. Identifying relationships of physical activity and sedentary behaviour with health outcomes
  • Phase 2. Measuring physical activity and sedentary behaviour
  • Phase 3. Characterizing prevalence and variations of physical activity and sedentary behaviour in populations
  • Phase 4. Identifying the determinants of physical activity and sedentary behaviour
  • Phase 5. Developing and testing interventions to influence physical activity and sedentary behaviour
  • Phase 6. Using evidence to inform public health guidelines and policy
As a research framework, it helps identify research gaps and systemizes the development of a research agenda to inform and guide public health policy and practice. To be effective, regional evidence is needed to understand the contextual determinants of these behaviours and introduce regionally relevant policies to address them [1, 24]. We review the available evidence on physical activity and sedentary behaviour for the oil-producing countries of the Arabian Peninsula. Based on the findings, we prioritize an agenda for research that could inform policy initiatives in the region.

Methods

Search strategy

A literature search was conducted in May 2016 with PubMed, Web of Science and Google Scholar using the following search terms: active living; exercise; lifestyle; physical activity; walking; screen time; sedentary; sitting or television viewing; and the name of each country in the Region (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and United Arab Emirates) or Arab. The search was limited to peer-reviewed publications in the English language from any time period through April 2016. All articles were imported in an Endnote file to facilitate deduplication, screening and selection.

Selection process

The initial search produced 3,560 articles, after deduplication. All articles were screened independently by two authors (RMM and MJK). Screening was conducted in two steps. In the first step, original English language articles on related disciplines published in peer-reviewed journals through April 2016 were included by judging from the title and source of articles. Publications in other languages, conference proceedings and theses as well as articles in unrelated disciplines were removed. By the end of this step, 347 articles remained.
In the second step, the abstracts and full texts were examined. The primary inclusion criteria were country specific studies which gathered original data, fit into any phase of the Behavioural Epidemiology framework [22, 23], and full-texts were available. Additional secondary inclusion criteria were used for the first three phases to facilitate within and cross-country comparison:
  • Phase 1: Cross-sectional studies used a clearly described measure for physical activity/sedentary behaviour and prospective studies involved a physical activity intervention
  • Phase 3: Studies clearly defined physical activity as meeting the recommendation of 150 min/week for adults or 60 min/day for children/adolescents.
  • Phase 4: For demographic correlates, studies used a clearly described measure for physical activity/sedentary. The secondary inclusion criteria were not used for the studies examining the non-demographic articles to ensure a comprehensive review of available research in the region.
This resulted in a total of 100 articles. The flow diagram for article inclusion following PRISMA guidelines can be seen in Fig. 1 [25]. Since this was a systematic review of published research, rather than a study involving the collection of primary data, ethical clearance was not obtained.

Data extraction, analysis and synthesis

Once the list of selected studies were identified, RMM extracted and MJK cross-checked the following for each: authors, country in which study was conduct, sample characteristics (number, size, gender, age), and physical activity/sedentary behaviour measurement tools. Key findings of each study were extracted and organized according to the Behavioural Epidemiology Framework. Differences in opinion in data extracted and placement within the framework were discussed to reach consensus. An ecological model that helps to classify potential multiple levels of influence on physical activity and sedentary behaviours-intrapersonal, social cultural, environmental [26, 27], was used to further organize the evidence for Phase 4 (the determinants of physical activity and sedentary behaviour).

Risk of bias assessment

Two authors (RMM and MJK) independently assessed quality of studies included in the review. Studies were assessed for risk of bias using criteria adapted from the Cochrane risk of bias tool [28] and a tool for qualitative research studies [29]. All studies, except qualitative studies, were given a score of ‵1′ if they had an adequate description for each of five criteria: eligibility, randomization of participant selection or assignment for case–control studies, study sample (including number/size, age and gender), measurement of physical activity or sedentary behaviour appropriate for the aim of the study, and co-variates included in the data analysis. Qualitative studies were assessed for a clear description of eligibility, sample selection, study sample (including number/size, age and gender), utilization of standard definition for physical activity and/or sedentary behaviour, and analysis/interpretation.

Results

Fourteen prospective studies and 29 cross-cross-sectional studies utilizing a clearly defined measure of physical activity and sedentary behaviour (such as the Global Physical Activity Questionnaire-GPAQ [30] or International Physical Activity Questionnaire-IPAQ [31]) were included in Phase 1, associations with health outcome (Table 1). Only 3 studies focused solely on measurement and adapted and/or validated a tool (Phase 2) [3234]. Twenty-six population-based cross-sectional studies reporting on prevalence of these behaviours were included in Phase 3. Studies in Phase 4 included 10 population-based cross-sectional studies utilizing standard measures for physical activity and sedentary behaviour to examine the demographic risk factors influencing these behaviours as well as 25 studies examining a diversity of factors using various study methodologies. Only six studies that reported testing physical activity interventions were included in Phase 5 and none identified in Phase 6. Eleven studies were included in more than one phase (Additional file 1: Table S1).
Table 1
Number of studies on physical activity and sedentary behaviour in countries of the GCC according to phase of the behavioural epidemiology framework by population group
Phase of Behavioural Epidemiology Framework
Total Number of Studies
Physical Activity
Sedentary Behaviour
Total
Adult
Adolescent
Children
Total
Adult
Adolescent
Children
Total
 
1. Associations with Health Outcome
29
11
2
29
8
10
3
18
43
2. Measuring Behaviours
 
2
1
3
 
1
 
1
3
3. Prevalence and Variation
10
8
 
18
3
12
4
17
26
4. Correlates
25
9
1
35
    
35
5. Interventions
6
  
6
    
6
6. Policy
None
Phases I and III studies and Phase IV studies for demographic correlates included population-based surveys that aimed to include a representative sample and used standard measures for PA; Two Phase II studies were regarding the same instrument; Phase IV studies for other correlates include all cross-sectional and qualitative studies on various supports and barriers to physical activity; Phase V studies included only those that described the intervention and reported on behaviour change due to the intervention
The review showed a relatively short history of research being conducted on physical activity in this region. All studies were published after the year 2000 with half (52) published in 2013 or later. Examining physical activity and/or sedentary behaviour was explicitly mentioned in the objectives of half (55) of the articles; the remaining focused more broadly on “risk factors” or “lifestyles”. Over half of the studies focused on populations in Saudi Arabia (57) and the UAE (16) with 8 or less articles about populations in each of the other countries of the region (Kuwait: 8; Oman: 7; Qatar: 6 and Bahrain: 5, not shown); the target populations were citizens of each country except for one study where the sample was South Asian immigrants [35].
A majority (86) focused on physical activity with only a few reporting on domain specific physical activity; work (2) [16, 36], transport (4) [16, 3537], and/or leisure physical activity (5) [16, 3739]. One-third (34) examined sedentary behaviour in the first 3 phases; all reported on TV viewing and/or computer time except for 8 studies reporting on total sitting time. Most studies focused on adults (62) and/or adolescents (28) with only 7 involving children less than 10 years. Very few studies (6) focused on translating knowledge into practice (Phases 5); these were only in adult populations. A majority (74) were cross-sectional descriptive epidemiology studies. The remaining were short-term (less than 1 year) intervention studies (18), long-term (6 or more years) prospective studies (2) [38, 40] or qualitative studies (6) focusing on physical activity.

Findings of studies organized within the behavioural epidemiology framework

Phase 1 (Identifying relationships with health outcomes)

The review identified 14 prospective studies involving a physical activity intervention and 29 cross-sectional population-based studies utilizing a clear definition of physical activity to examine the association of physical activity with a health outcome (Table 2). Thirty studies sampled adult populations; the remaining studies were among young people, with only three including children under the age of 10 years [4143]. The most common health outcome studied was obesity (21 studies) using BMI, waist circumference, waist-hip ratio and/or total body fat as the outcome measure. Most reported an inverse association of obesity with physical activity; one reported a positive association with total body fat [44] and two reported no significant association [41, 42]. The remaining studies identified associations with various clinical indicators like high blood pressure [35, 38, 4549], diabetes [46, 5052], bone health [37, 40, 53], the metabolic syndrome [16, 54], and Vitamin D deficiency [55, 56].
Table 2
Studies on the associations of physical activity and sedentary behaviour with health outcomes in oil-producing countries of the Arabian Peninsula (Behavioural epidemiology framework, Phase 1)
Lead author Country
Study design
Health Outcomes
Association
Physical Activity (type)
Sedentary Behaviour (type)
Prospective Studies
 Abdi S [50], United Arab Emirates
Diet and physical activity intervention (6 months)
HbA1c
−physical activity intervention)
 
35 adults aged 18–60 years with diabetes
 Al Saif A [45], Saudi Arabia
Aerobic and anaerobic intervention (3 months)
BMI
−(Aerobic intervention)
 
Blood Pressure
 
40 obese adults aged 18–25 years
Heart Rate
Maximum oxygen consumption
+ (Aerobic intervention)
Maximum voluntary ventilation
+ (Aerobic and anaerobic interventions)
 Al-Eisa E [148], Saudi Arabia
Exercise intervention (8 weeks)
Serum cotinine
−(Exercise intervention for both smokers and non-smokers)
 
150 men aged 18–55 years
Serum cortisol
Testosterone
Mood and physical symptoms scale
−(Exercise intervention for smokers)
Free radicals
+ (Exercise intervention for both smokers and non-smokers)
 Al-Eisa E [64], Saudi Arabia
Exercise intervention (3 weeks)
Insomnia
−(exercise intervention)
 
76 women university students aged 19–25 years
Depression
Attention span
+ (Exercise intervention)
 Alghadir AH [53], Saudi Arabia
Exercise intervention (12 weeks)
BMI
−(Exercise intervention)
 
100 adults aged 30–60 years
Waist-Hip ratio
Serum levels of Copper, Zinc and bone-specific alkaline phosphatase
Osteoporosis T-score
Bone mineral density
+ (Exercise intervention)
Serum levels of Calcium and Manganese
 Alghadir AH [149], Saudi Arabia
Exercise intervention (4 weeks)
Salivary cortisol, lactate and testosterone levels
+ (Exercise intervention)
 
16 men students aged 15–25 years
 Al-Ghimlas F [46], Kuwait
Exercise intervention (12 weeks)
Weight
−(Exercise intervention)
 
58 adults aged 15+ years
BMI
Waist and hip circumferences
Diastolic blood pressure
Resting Heart Rate
HbA1c
LDL cholesterol
Body fat composition
Peak oxygen uptake Muscular strength
+ (exercise intervention)
 Ardawi MM [37], Saudi Arabia
Exercise intervention (8 weeks)
Serum bone-formation markers:
−(exercise intervention)
 
160 women aged 20–49 years
Sclerostin
CTX
IGF-I
+ (exercise intervention)
OC
PINP
N (exercise intervention)
bone-ALP
PTH
NTX
 Kneffel Z [47], Qatar
Exercise intervention (10 weeks)
Weight
−(Exercise intervention)
 
36 students aged 18–30 years
BMI
Body fat composition
Diastolic blood pressure
 Rouzi AA [40], Saudi Arabia
Prospective cohort (6 years)
All fragility related fractures
−(Total PA)
 
707 healthy post-menopausal women aged 50+ years
 Sadiya A [51], United Arab Emirates
Lifestyle intervention including physical activity (12 weeks)
Weight
−(Lifestyle intervention)
 
BMI
45 obese or obese with type 2 diabetes adults aged 18–50 years
Body fat composition
WC
Fasting blood glucose
−(Lifestyle intervention for obese with diabetes)
HbA1c
 Salman RA [38], Saudi Arabia
Exercise intervention (11–year)
Hypertension
−(leisure PA)
 
916 normotensive adults with diabetes aged 20+ years
 Tomar RH [52], Saudi Arabia
Exercise intervention (12 weeks)
Glycemic control
+ (exercise intervention)
 
24 adult men with type 2 diabetes aged 25–55
Cross-sectional: Adults
 Al-Daghri NM [150], Saudi Arabia
Cross-sectional
Irisin levels
+ (Total PA for healthy adults
 
164 adults aged 30–75 years
N (total PA for adults with diabetes)
 Al-Hamdan NA [48], Saudi Arabia
Cross-sectional
Hypertension
−(Work, transport and leisure PA)
 
4758 adults aged 15–64 years
 Al-Mahroos F [36], Bahrain
Cross-sectional
BMI
−(Occupational activity)
−(TV time)
2013 adults; men aged 40–59 years and women aged 50–69 years
−(Walking and cycling, significant in only men)
 Almajwal MA [91] 4, Saudi Arabia
Cross-sectional
BMI
−(Total PA)
 
362 Non-Saudi hospital nurses
 Al-Nozha MM [39] 3, 4, Saudi Arabia
Cross-sectional
BMI
−(Leisure PA)
 
17,395 adults aged 30–70 years
WC
−(Leisure PA)
 Al-Thani [151], Qatar
Cross-sectional
BMI
N (Total PA)
 
2496 adults aged 18–64 years
WC
−(Total PA)
 Ardawi MM [37], Saudi Arabia
Cross sectional
Serum bone-formation markers:
−(Walking or exercising)
 
1235 women aged 20–49 years
Sclerostin
FSH
CTX
IGF-I
+ (Walking or exercising)
OC
PINP
bone-ALP
PTH
E2
NTX
 Al-Kilani H [44], Oman
Cross-sectional
Total body fat
+ (exercise and physical activity scores)
 
202 school students aged 18–25 years
 Basulaiman M [67], Saudi Arabia
Cross-sectional
Hypercholesterolemia
N (Total PA)
N (Total TV/computer time)
10735 adults aged 15+ years
Borderline Hypercholesterolemia
N (Total PA)
+ (Total TV/computer time)
 El-Aty MA [54] 3, Oman
Cross-sectional
Metabolic Syndrome
N (Total PA)
+ (Total sitting time)
3137 adults aged 18+ years
 El Bcheraoui C [49], Saudi Arabia
Cross-sectional
Hypertension
N (Total PA)
N (Total TV/computer time)
10735 adults aged 15+ years
Borderline hypertension
+ (Total PA−moderate active only)
N (Total TV/computer time)
 El-Ghazali S [152], Kuwait
Cross-sectional
BMI
−(Total PA)
 
320 college students, 17–26 years
 Hegazy AM [153], Saudi Arabia
Cross-sectional study
Lower back pain
−(Total PA)
+ Prolonged sitting
174 women, half with lower back pain for 3+ months (20–45 years)
 Mabry RM [16], Oman
Cross-sectional
The Metabolic Syndrome
−(Work PA)
+ (total sedentary behavior but not significant after further adjustment for PA)
1,335 adults age 20 years and older
−(Transport PA)
N (Leisure PA)
 Memish ZA [154], Saudi Arabia
Cross-sectional
BMI
−(Total PA, men only)
 
10,735 adults 15+ years
 Moradi-Ladek M [68], Saudi Arabia
Cross-sectional
Self-rated health
 
+ (TV/computer time)
10,735 adults 15+ years
 Shah SM [35], United Arab Emirates
Cross-sectional
Hypertension
−(Walking 30+ mins/day)
 
1,375 South Asian immigrants men 18+ years
 Tuffaha M [55], Saudi Arabia
Cross-sectional
Vit. D deficiency
N (Total PA)
 
10,735 adults 15+ years
Prospective: Children and adolescents
 Al Saweer A [155], Bahrain
Behavioural intervention including physical activity
Weight
−(Behavioural intervention)
 
 
BMI
13 obese adolescents
Cross-Sectional: children and adolescents
 Al Junaibi A [41], UAE
Cross-sectional
BMI
N (time spent walking, moderate activity, vigorous activity)
−(computer time in girls)
1,541 students aged 6–19 years
+ (computer time in boys)
N (time spent sitting)
 Al-Haifi AA [156], Kuwait
Cross-sectional
Sleep duration
N (Moderate and/or vigorous activity)
−(TV and computer time in boys)
906 school students aged 14–19 years
 Al-Haifi AR [60], Kuwait
Cross-sectional
BMI
−(Moderate and Vigorous PA)
N (TV and Computer time)
906 school students aged 14–19 years
WC
−(Vigorous PA)
 Al-Hazzaa HM [61], Saudi Arabia
Cross-sectional
BMI
−(vigorous PA)
N (TV/screen time)
2,906 school students aged 14–19 years
N (Total PA)
WtHR
−(vigorous PA)
N (Total PA)
 Al-Hazzaa HM [157], Saudi Arabia
Cross-sectional
Sleep duration
+ (Total PA)
+ (screen time)
2,868 secondary-school students aged 15–19 years
 Al-Kilani H [44], Oman
Cross-sectional
Total body fat
+ (exercise and physical activity scores)
 
202 school students aged 18–25 years
 Al-Nakeeb Y [57] 3, Saudi Arabia
Cross-sectional
BMI
−(Total PA and walking)
+ (computer use and total TV and computer time)
1,138 school students aged 15–17 years
 Al-Nuaim AA [58] 3, Saudi Arabia
Cross-sectional
BMI
−(Total PA)
+ (sitting time)
1,270 school students aged 15–19 years
WC
−(Total PA)
+ (sitting time)
 Alqahtani N [62], Saudi Arabia
Cross-sectional
BMI
−(Total PA, boys only)
−(Screen time)
370 school children aged 14–19 years
 Alrashidi M [59], Kuwait
Cross-section
BMI
 
+ (TV time in boys)
635 children aged 11–14 years
 Kerkadi A [42], UAE
Cross-sectional
BMI
N (Total PA)
+ (TV time)
900 female primary school children aged 5–14 years
 Muhairi SJ [56], UAE
Cross-sectional
Vitamin D levels
+ (Total PA)
 
315 healthy adolescents aged 15–18 years
 Yousef S [43] 3, UAE
Cross-sectional
Childhood behavioral problems
 
+ (TV and Video games time)
197 school children aged 5–15 years
BMI body mass index, PA physical activity, ST sitting time, WC waist circumference, WtHr waist to hip ratio, + positive association,−inverse association N non-significant, Super-script number (s)−cross referencing to additional table (s) article in which article is included
Twenty-one articles examined associations of sedentary behaviour with a health outcome. Associations of obesity with sedentary behaviour were less conclusive than with physical activity: four studies reported a positive association with different types of sedentary behaviour [42, 5759], two found no association [60, 61], two reported an inverse association [36, 62] and one reported a positive association with computer time among boys but an inverse association among girls [41]. Another key health outcome studied was the metabolic syndrome; two found a positive association with total sitting time [16, 54] but one reported that this association did not remain after further adjustment for physical activity [16].

Phase 2 (Measuring physical activity and sedentary behavior)

Three studies tested the validity and reliability of Arabic physical activity questionnaires. Two measured physical activity behaviour: the Arabic version of the Questionnaire l’ Activite Physique en Altitude Chez les Enfants for children under the age of 10 years [34] and the tool for the Arab Teens Lifestyle Study (ATLS) [33]. The third tested the psychometric properties of the Arabic Version of the Physical Activity Self-Efficacy Scale for Adolescents [32]. All were identified as valid physical activity instruments for young people in the Arab world.
Across all remaining studies the definitions and measures used for both physical activity and sedentary behaviour varied widely across studies. Several different tools were used to measure physical activity and sedentary behaviour (Additional file 1: Table S1). Self-report was the most common form of reporting (73). Only seven studies used objective measures for physical activity (pedometers and accelerometers); four studies used them as the only measure of behaviour [6366]. None used objective measures for sedentary behaviour.
Most studies (75) examined self-report derived measures of total physical activity. TV/computer use and/or screen time was the most common proxy measure for sedentary behaviour (32); only six studies reported total sitting time. Some studies used reliable and validated instruments like the IPAQ/IPAQ-short (physical activity-12 studies; sedentary behaviour-5 studies [41, 49, 56, 67, 68]), GPAQ (physical activity-11 studies, sedentary behaviour-4 studies [16, 54, 69, 70]) and the ATLS (physical activity-16 studies, sedentary behaviour-15 studies). Many studies developed their own tools (29 studies examining physical activity and 8 studying sedentary behaviour), eleven provided very limited description of the tools in terms of measuring frequency, intensity and duration of physical activity. Seven studies developed/adapted tools for gathering cognitive and psychosocial data relevant to physical activity such as perceived barriers [7175], stages of change [73, 75] and self-efficacy [73, 75]. None of the studies in this review used tools concerning the physical environment and physical activity.

Phase 3 (Characterizing Prevalence and variation in populations)

Of the 27 studies reporting on the prevalence of physical activity (Table 3), 11 were on the adult population in four countries: Oman, Qatar, Saudi Arabia and the United Arab Emirates. Four were population-based with three gathering data nationally through household interviews [39, 54, 69] and one by telephone in one city [76]. Two studies were conducted in Saudi Arabia with large differences in the prevalence of physical activity; for a national study the prevalence was very low (Men: 6.1 %, Women: 1.9 %) [39] while in the telephone-based study in Riyadh reported that more than half were met physical activity recommendations (Men: 56.3 %; Women: 65.7 %) [76]. The national study in Oman reported higher prevalence rates than the national household study in Saudi Arabia and Qatar (Women: 44.2 %) with similar rates as in Riyadh (Men: 68.0 %, Women: 59.5 %) [54].
Table 3
Prevalence of physical activity and sedentary behaviour in oil-producing countries of the Arabian Peninsula (Behavioural epidemiology framework, Phase 3)
Author Country
Sample
Physical Activity and Sedentary Behaviour Measurement Tool
Physical Activity
Sedentary Behaviour
Adults
 Al-Hazzaa HM [76] 4, Saudi Arabia
1,064 adults aged 15–78 years
IPAQ short
Men: 56.3 %
 
Women: 65.7 %
Total: 59.4 %
 Allam AR [158], Saudi Arabia
194 medical students
IPAQ short
Men: 36.2 %
 
Women: 35.0 %
Total: 35.5 %
 Al-Nozha MM [39] 2, 4, Saudi Arabia
17,395 adults aged 30–70 years
Validated questionnaire on Leisure time physical activity and walking
Men: 6.1 %
 
Women: 1.9 %
 Al Thani M [69], Qatar
747 women aged 18–64 years
GPAQ
Women: 44.2 %
Mean total sitting time:
183.6 ± 168.3 min/day
 Awadalla NJ [72] 4, Saudi Arabia
1257 health professional college students
IPAQ short
Men: 43.7 %
 
Women: 41.2 %
Total: 42.0 %
 Banday AH [159], Saudi Arabia
106 Primary Health care Physicians aged 27–63 years
GPAQ
Total: 65.2 %
 
 Carter AO [160], UAE
175 Medical students aged 19–27 years
Nurses’ Health Study II
Total: 67.0 %
 
 El-Aty, MA [54] 2, Oman
3137 adults aged 18+ years
GPAQ
Men: 68.0 %
Prevalence (6+ hrs/day):
Women: 59.5 %
Men: 21.5 %
Total: 63.4 %
Women: 25.6 %
Total: 23.7 %
 Khalaf A [161], Saudi Arabia
663 female university students
ATLS
Women: 62.4 %
 
 Koura MR [162], Saudi Arabia
370 women college students
GPAQ
Women: 46.8 %
 
 Mabry RM [70] 4, Oman
1,335 adults aged 20 years and older
GPAQ
 
Prevalence (3+ hrs/day):
Men: 64.8 %
Women: 37.8 %
Total: 45.3 %
Children and adolescents
 Al-Hazzaa HM [86] 4, Saudi Arabia
2,866 school students aged 15–19 years
ATLS
Boys: 43.8 %
 
Girls: 20.2 %
Total: 31.5 %
 Al-Hazzaa HM [78], Saudi Arabia
2,908 secondary-school students aged 14–19 years
ATLS
Boys: 55.5 %
Computer/TV time >2 h/day:
Girls: 21.9 %
Boys: 84.0 %
Girls: 91.2 %
 Al-Hazzaa HM [81], Saudi Arabia
2,886 students aged 15–19 years
ATLS
Boys: 55.0 %
Computer/TV time >3 h/day:
Girls: 21.7 %
Boys: 69.8 %
Girls: 81.8 %
 Al-Hazzaa HM [80] 4, Saudi Arabia
1,648 students aged 14–18 years
ATLS
Boys: 53.4 %
Mean computer/TV time (hrs/day):
Girls: 19.1 %
Total: 36.0 %
Boys: 5.31 ± 3.1
Girls: 5.89 ± 3.3
Computer/TV time >2 h/day:
Boys: 84.2 %
Girls: 91.6 %
Total: 88.0 %
 Al-Hazzaa HM [65], Saudi Arabia
224 preschool children aged 3.4 to 6.4 years
unknown
 
Mean TV time (minutes/day):
Boys: 162.4 ± 69.9
Girls: 147.7 ± 61.7
Total: 154.8 ± 66.1
 Allafi A [77], Kuwait
906 Adolescents aged 14–19 years
ATLS
Boys:70.5 %
% watch >2 h of TV/day:
Girls: 39.2 %
Boys: 69.7 %
Girls: 72.7 %
% use computers >2 h/day:
Boys: 62.1 %
Girls: 70.0 %
 Al-Nakeeb Y [57]2, Saudi Arabia
2,290 school students aged 15–17 years
ATLS
Boys: 45.8 %
Mean time watching TV (hrs/day):
Girls: 4.5 %
Total: 26.0 %
Boys: 2.51
Girls: 2.61
Mean computer time (hrs/day):
Boys: 2.41
Girls: 3.18
 Al-Nuaim AA [58] 2, Saudi Arabia
1,270 school students aged 15–19 years
ATLS
Boys: 44.5 %
Mean time watching TV (hrs/day):
Girls: 4.0 %
Boys: 2.49
Girls: 2.60
Mean computer time (hrs/day):
Boys: 2.43
Girls: 3.19
 Farghaly NF [163], Saudi Arabia
767 students aged 7–20 years
unknown
 
Mean TV time (hrs/day)
Total: 1.0 ± 1.0
Mean computer game time (hrs/day)
Total: 0.7 ± 0.9
 Gharib NM [164], Bahrain
2,594 school children aged 6–18 years
Unknown
 
Mean hours of TV/Video/week:
Boys: 11.5
Girls: 31.2
Mean hours of computer time/week:
Boys: 3.3
Girls: 2.7
 Kilani H [82], Oman
802 adolescents aged 15–18 years
ATLS
Boys: 66.7 %
Mean screen time (hrs/day):
Girls: 23.1 %
Boys: mean 2.86 SD2.3
Girls: mean 3.70 SD2.9
 Mahfouz AA [84], Saudi Arabia
1,869 adolescent aged 11–19 years
CDC Adolescent Health adapted
 
Watched > 3 h TV/daily:
Boys: 38.0 %
Girls: 52.7 %
 Mahfouz AA [83], Saudi Arabia
2,696 adolescent school boys aged 11–19 years
Arabic version of CDC Adolescent Health Survey
 
Watched > 3 h TV/daily:
Total: 38 %
 Musaiger AO [85], Saudi Arabia
512 girl school students aged 12–19 years
unknown
 
≥3 h TV time/day:
Girls: 60.9 %
 Yousef, S [43] 2, UAE
197 school children aged 6–10 years
Unknown
 
% TV viewing/Video games > 2 h/day:
Total: 62.9 %
 Youssef RM [74], Oman
439 secondary-school students aged 15–20 years
unknown
 
% TV time ≥3 h/day:
Boys: 21.1 %
Girls: 25.3 %
Total: 23.2 %
% computer ≥3 h/day:
Boys: 26.6 %
Girls: 31.5 %
Total: 29.2 %
GPAQ global physical activity questionnaire, IPAQ international physical activity questionnaire, ATLS Arab teens lifestyle student questionnaire
Physical activity presented as percentage meeting recommendations: 150 min of moderate-intensity per week for adults and 60 min of moderate-intensity 7 days a week for adolescents except for Qatar which is for at least 5 days a week; Sedentary Behaviour presented as prevalence (%) or Mean sitting time; All studies were population-based surveys that aimed to include a representative sample and used standard measures for PA
Super-script number (s)−cross referencing to additional table (s) article in which article is included
Sixteen country-specific studies from all six countries except Qatar reported on the prevalence of physical activity in the adolescent population. Eight school-based studies utilized the ATLS; among them, the lowest and highest reported prevalence of physical activity (doing at least 60 min moderate physical activity on 7 days a week) were 43.8 to 70.5 % for boys and 4 to 39.2 % for girls in Saudi Arabia and Kuwait respectively [57, 58, 7782]. Prevalence rates across all studies showed consistently higher rates among boys than girls.
Sedentary behaviour was reported across 18 studies. Only three were national surveys among adult populations in Oman and Qatar; each study presented their data differently. Two studies were secondary analyses of the same survey conducted in Oman; one reported that a quarter of adults (23.7 %) sat 6 or more hours/day [54] and the other reported that nearly half (45.3 %) sat for at least 3 h/day [70]. The third study reported that the mean total sitting time was 183.6 min/day (SD: 168.3 min/day) for women in Qatar [69].
All 15 studies conducted with child and adolescents reported on computer, TV and/or total screen time. Like the adult studies, data were presented differently: mean TV and/or computer time or a prevalence of computer and/or TV of greater than 2 or 3 hours per day. Two studies reported mean computer/TV times with higher rates in girls (Oman: 3.70 ± 2.9 h/day; Saudi Arabia: 5.89 ± 3.3 h/day) than boys (Oman: 2.86 ± 2.3 h/day; Saudi Arabia 5.31 ± 3.1 h/day) [80, 82]. Four studies from Saudi [8385] and Oman [74] reported on the prevalence of watching 3 or more hours of TV; the highest percentage were girls (60.9 %) in Jeddah, Saudi Arabia [85] and boys (38.0 %) in Abha, Saudi Arabia [84]. These rates were higher than seen in Oman; girls: 25.3 % and boys: 21.1 % [74]. The only study among preschool students reported a mean TV time of 154.8 ± 66.1 min/day [65].

Phase 4 (Identifying the determinants)

Thirty-five studies examined the correlates of physical activity (Table 4). Population-based surveys conducted in Oman and Saudi Arabia consistently reported that gender and education were associated with physical activity with men being more physically active than women [39, 76, 8690] and people with lower education were more active than their more educated counterpart [70, 76, 90, 91]. All studies reported an association of physical activity with age with younger people being more active than older people [39, 70, 76, 87, 89, 90], except for Oman, where one study reported a direct correlation of age and physical activity among men [70].
Table 4
Factors associated with physical activity in oil-producing countries of the Arabian Peninsula (Behavioural epidemiology framework, Phase 4)
Correlate
Association
References
Demographic
 Age
Al-Hazzaa, 2007 [76] 3; Al-Hazzaa HM [80] 3; Al-Nozha, 2007 [39] 2, 3; Al-Sobayel, 2015 [87]; Amin, 2012 [89]; Amin, 2011 [90]; Mabry, 2012 [70] (women only) 3
 
+
Mabry, 2012 [70] (men only)
 Gender (male)
+
Al-Hazzaa, 2007 [76]; Al-Hazzaa, 2014 [86] 3; Al-Nozha, 2007 [39]; Al-Sobayel, 2015 [87]; Amin, 2012 [89]; Amin, 2011 [90]; Duncan, 2015 [88]
 Education
Al-Hazzaa, 2007 [76]; Almajwal, 2015 [91] 2; Amin, 2011 [90]; Mabry, 2012 [70] (men only)
 Marital Status (married)
+
Almajwal, 2015 [91]; Al-Nozha, 2007 [39]; Mabry, 2012 [70] (men only)
 
Khalaf, 2013 [161] (women only)
 Employment (employed)
+
Mabry, 2012 [70]
Intrapersonal
 Lack of time
Al-Hazzaa, 2014 [86]; Al-Rafaee, 2001 [118]; Al-Otaibi, 2013 [75]; Ali, 2010 (Q) [18]; Ali, 2008 (Q) [119]; Alsubaie, 2015 [94]; Awadalla, 2014 [72] 3; Berger, 2009 (Q) [120]; Daradkeh, 2015 [95]; Hashim, 2013 [121]; Gawwad, 2008 [73]; Mabry, 2013 (Q) [17]; Musaiger, 2014 [122]; Serour, 2007 [123]; Youssef [74]
 Self-motivation
Al-Rafaee, 2001 [118]; AlQuaiz, 2009 [71]; Alsubaie, 2015 [94]; Awadalla, 2014 [72]; Berger, 2009 (Q) [120]; Mabry, 2013 (Q) [17]; Youssef [74]
 Perceived health
AboZaid, 2010 [165]; Al-Rafaee, 2001 [118]; Alsubaie, 2015 [94]; Awadalla, 2014 [72]; Serour, 2007 [123]
 Limited knowledge/awareness
Ali, 2008 (Q) [119]; Daradkeh, 2015 [95]; Taha, 2008 [166]
 Consumption of fruits
+
Al-Hazzaa, 2014 [86]; Al-Kahtani, 2015 [66]; Al-Sobayel, 2015 [87]; Duncan, 2015 [88]
 Consumption of foods high in fats/salt/sugar
+
Al-Hazzaa, 2014 [86]; Al-Sobayel, 2015 [87]; Duncan, 2015 [88]; Faris, 2015 [167]
 Knowledge PA is important
+
Donnelly, 2012 (Q) [92]; Sulaiman, 2009 (Q) [93]
 Perceived skills/fitness
Awadalla, 2014 [72]; Gawwad, 2008 [73]
 Enhance appearance/muscles
+
Alsubaie, 2015 [94]; Daradkeh, 2015 [95]
 Consumption of milk
+
Al-Hazzaa, 2014 [86]; Al-Sobayel, 2015 [87]
 Consumption of vegetables
+
Al-Hazzaa, 2014 [86]; Al-Sobayel, 2015 [87]
 Belief in Overweight as normal
Ali, 2008 (Q) [119]
 Attitude to changing diet
Ali, 2008 (Q) [119]
 Self efficacy
+
Al-Eisa, 2012 [63]
 Locus of control
Al-Otaibi, 2013 [75]
 Stage of change
+
Al-Otaibi, 2013 [75]
 Fear of criticism
AboZaid, 2010 [165]
 Maintain health
+
Daradkeh, 2015 [95]
 Shift duty
Almajwal, 2015 [91]
Social and cultural
 Norms limiting women’s mobility
Amin, 2010 [90]; Berger, 2009 (Q) [120]; Mabry, 2013 (Q) [17]; Sulaiman, 2009 (Q) [93]
 Norms prioritizing women’s care-taking role/limiting self-care role
Donnelly, 2012 (Q) [92]; Sulaiman, 2009 (Q) [93]
 Social support
Al-Otaibi, 2013 [75]; AlQuaiz, 2009 [71]; Alsubaie, 2015 [94]; Awadalla, 2014 [72]; Amin, 2010 [90]; Donnelly, 2012 (Q) [92]
 Low value of PA
Ali, 2008 (Q) [119]; Awadalla, 2014 [72]; Mabry, 2013 (Q) [17]
 Norms promoting overeating
Ali, 2008 (Q) [119]
 Lack of role models
 
Berger, 2009 (Q) [120]
Physical Environment
 Availability of physical activity facilities
Al-Rafaee, 2001 [118]; Alsubaie, 2015 [94]; Awadalla, 2014 [72]; Ali, 2010 (Q) [18]; Ali, 2008 (Q) [119]; AlQuaiz, 2009 [71]; Amin, 2010 [90]; Donnelly, 2012 (Q) [92]; Mabry, 2013 (Q) [17]
 Weather
Ali, 2008 (Q) [119]; Ali, 2010 (Q) [18]; Amin, 2010 [90]; Berger, 2009 (Q) [120] Mabry, 2013 (Q) [17]; Musaiger, 2014 [122]; Sulaiman, 2009 (Q) [93]
 Safety
Ali, 2008 (Q) [119]
 Transportation
+
Al-Kahtani, 2015 [66];
Population Policy Level
 Ineffective health communication
Ali, 2008 (Q) [119]; Mabry, 2013 (Q) [17]
 Limited resources (general) allocated for physical activity promotion
Mabry, 2013 (Q) [17]
 Ineffective PA-supportive policies in colleges
Berger, 2009 (Q) [120]
Individual-based Policy Level
 Lack of Time
Al-Doghether, 2007 [127]; Al-Ghawi, 2009 [128]
 Health personnel limited knowledge/awareness of benefits of PA
Al-Doghether, 2007 [127]
 Limited material resources in health centres (teaching materials, guidelines)
Al-Ghawi, 2009 [128]; Ali, 2008 (Q) [119]
 Lack of specialty clinics at primary health care level
Al-Ghawi, 2009 [128]
 Limited availability of human resources (i.e., dietitians)
Ali, 2008 (Q) [119]
Studies for the demographic correlates included population-based surveys that aimed to include a representative sample and used standard measures for physical activity; all other studies were cross-sectional studies using various methodologies except those marked Q to denote qualitative studies
Super-script number (s)−cross referencing to additional table (s) article in which article is included
In addition to the demographic correlates, the studies explored other factors associated with participation in physical activity, including intrapersonal, social/cultural, physical environment and policy level correlates. The most frequently identified barriers (negative association) of physical activity identified included: time, self-motivation, perceived health, norms limiting women’s mobility or prioritizing her care-taking role, social support, availability of facilities, limited capacity within health institutions and weather. Positive support for participation in physical activity mentioned in more than one study was the knowledge that physical activity is important [92, 93] and desire to enhance one’s appearance [94, 95]. Healthy diet, such as the consumption of fruits and vegetables, were also reported as positive correlates several studies [66, 8688].
Only one study examined the correlates of sedentary behaviour [70]. It reported that younger women have higher sitting times than older women and more-educated men have higher sitting times than those less educated. Other correlates reported included employment status, smoking and obesity.

Phase 5 (Developing and testing interventions)

Only six studies reported on interventions conducted in Bahrain, Saudi Arabia and UAE; three reported increases in physical activity [9698] (Table 5). The duration for all studies was less than one year. Four were 6 months or less [96, 97, 99, 100]. Only one study included a post-intervention follow-up [99]. The target group varied with three involving university students [96, 97, 101], two addressing adults with chronic disease [99, 100] and only one targeting the general adult population [98]. Two supplemented awareness raising activities; one involved Instagram motivational messages to encourage the use of an exercise workout video [96] and the other encouraged participants to keep a 1 week log on physical activity [97]. The former was the only one of the six studies that followed a case–control methodology.
Table 5
Physical activity related interventions in oil-producing countries in the Arabian Peninsula (Behavioural epidemiology framework, Phase 5)
Lead Author Country
Target Group (Size)
Description of Intervention
Results
Abduelkarem A [99], UAE
Adults with type two diabetes visiting community pharmacies, aged 28–75 years (59)
3-month intervention where community pharmacies dispense self-care reminders (including physical activity advise); assessment carried out at 3-month, 6-month and 24 month by interview survey (59 % response rate)
Significant increases in physical activity during intervention period; but not at 6 and 24-months
Al-Eisa E [96], Saudi Arabia
Women university students aged 18–25 years (58)
4-week intervention involving Instagram educational and motivational messages to exercise using a 37 min of cardio work out video (81 % response rate)
Significant difference between case and controls to adherence to programme; 17 % cases compared to 4 % controls exercised 8+ times during intervention period
Barss P [97], UAE
1st year medical students (41)
Lifestyle curriculum involving 5 lectures; one family lifestyle history assessment; 1 week log on dietary intake and physical activity and an oral presentation
Significant number of students reported increase in physical activity and stair usage following completion of lifestyle course including 46 % starting exercising regularly and 63 % started using stairs more frequently
Grant N [101], Bahrain
Families (30)
8-month family studies programme for 3rd year medical students conducted 10–12 family visits over a period of 8 months.
Two-thirds of families reported in qualitative interviews positive behaviour changes including increase in levels of physical activity
Midhet FM [98], Saudi Arabia
Community (population size not reported)
1 year intervention in all PHC centres involving training physicians on lifestyle counselling and regular health center-based lectures conducted by health educators and medical students
A pre-post test community-based survey found significant increase in levels of brisk walking in men after adjustment for key demographic variables
Sharaf F [100], Saudi Arabia
Adults with hypertension, diabetes and coronary artery disease visiting PHC clinics (population size not reported)
6-month intervention involving training of PHC physicians and health educators aimed to increase knowledge and skills on patient education with a focus on diet, smoking and physical activity
No significant change in physical activity
All studies provided a brief description of the intervention and reported on behavior change due to the intervention

Risk of Bias

The two reviewers independently reviewed the methodological quality of the studies included in the review. Quality ratings ranged between 1 and 5; discrepancies in ratings were discussed to reach agreement (Additional file 1: Table S1). For the quantitative studies (n = 94), the mean score was 3.6 with only a quarter (25.5 %) rated 5, the highest score (Additional file 1: Table S1). A vast majority (90 studies or 95.7 %) provided an adequate description of the study sample, 78 studies (83.0 %) provided an adequate description of random sampling, 62 studies (66.0 %) provided a clear description of the eligibility criteria, 61 studies (64.9 %) utilized a valid measure of physical activity and/or sedentary behaviour and 45 studies (47.9 %) adjusted for co-variates. For the six qualitative studies, the mean score was 4.2. All studies provided an adequate description of the eligibility criteria, study sample and the analysis and interpretation and five (83.3 %) provided an adequate description of the sample selection process. However, only two (33.3 %) adhered to the broad definition of physical activity vs the terminology of “exercise” or “sport.” When looking at the studies according to the five phases, the mean score was markedly lower for Phase 5 (2.3) and Phase 2 (3.0) studies which had fewer number of studies compared to those assigned to the other phases (Phase 1: 3.9, Phase 2: 3.7 and Phase 4: 3.6).

Discussion

The findings of this review have identified relevant evidence and some of the limitations in understanding physical activity, sedentary behaviours and public health, an emerging area of knowledge in the Arabian Peninsula. Although 100 publications were identified since 2000, over half of these were published since 2013. This research was spread unevenly across the behavioural epidemiology phases used to structure our review of the evidence [22, 23]. The majority of published studies focussed on assessing health outcomes (Phase 1 n = 43), prevalence (phase 3, n = 26) or identifying the correlates of physical activity and sedentary behaviours (phase 4 n = 35).
Far fewer published studies addressed the measurement of physical activity and sedentary behaviours (phase 2, n = 3) [3234] or the testing of interventions (phase 5, n = 6). Publications were found from all six countries in the study area, although were mostly focused on adults rather than on children. The sedentary behaviour research identified in this review was much more limited than that related to physical activity and covered only the first three of the five phases of the Behavioural Epidemiology Framework.

Research Implications

The findings points towards the need for more and higher quality research. The following paragraphs describe the research required closely following the Behavioural Epidemiology Framework. Overall, the body of evidence included only a small number of prospective and cross-sectional studies which reported generally consistent associations between physical activity and sedentary behaviours and various health outcomes (Behavioural Epidemiology, Phase 1). Globally, there is extensive evidence on physical activity and life expectancy, cardiovascular disease, diabetes, cancer, mental health and bone health, but it largely originates from countries outside this study region [102, 103]. Examining the associations between patterns of physical activity and sedentary behaviours with various health outcomes in Arab populations should continue to address the knowledge gaps but future studies should employ rigorous methodologies including prospective study design and use objective measures of exposure to increase the quality of evidence available from this region (Behavioural Epidemiology, Phase 2).
Studies found in our review revealed overall low levels of participation in physical activity (particularly among young people), and high levels of sedentary behaviour (particularly among men and young people-Behavioural Epidemiology, Phase 3). Although the prevalence of physical activity among adolescent was generally higher than in adults, a large percentage of both adults and adolescents did not engage in sufficient amounts. Similar findings were observed in a global study of 34 countries [104]; however, the gender differences in the prevalence of physical activity, up to 40 percentage points more in boys than girls, is much larger in this review. Further studies using standardized methods of nationally representative samples are needed to monitor trends as well as to identify population variations and vulnerable groups. This point is particularly important since countries are expected to report on physical activity levels for both adult and adolescent populations as part of the WHO Global Plan of Action [105]. In addition, research on domain-specific physical activity for different populations groups is urgently needed to guide the development of targeted regionally appropriate interventions in light of regional trends like motorization and shifts in occupational patterns.
Studies exploring factors associated with physical activity (Behavioural Epidemiology, Phase 4) reported consistent associations with known correlates. Gender and age were consistently association with physical activity. Men were found to be more active than women and younger people more active than older people which is consistent with other countries [106, 107]. Only one study found that it was the older people more physical active [70]. Four studies in this review reported an inverse association of physical activity with education [70, 76, 90, 91], however, when findings from multiple countries are considered, the inconsistent evidence points to this correlate likely being more context and/or culture-specific [70]. A majority of the studies reporting on the individual-level correlates of physical activity were not guided by a formal conceptual model that could inform subsequent public-health approaches to behavioural change. While this might be construed as a limitation of the evidence that is available, addressing the need for more-basic descriptive data in the region should be a higher priority.
Few studies assessed the physical and policy environments across the four domains of active living (household, occupational, transport and recreation) [108]. Evidence on potential multiple levels of influence on physical activity (intrapersonal, perceived, social cultural, information, natural and policy environments) [108] exists for several Western countries; however, evidence for countries in this region is needed to understand the particular influences that may operate in Arab populations and their social and environmental contexts so as to inform policy and practice.
Only six studies reported the testing of population-based physical activity interventions [96101] (Behavioural Epidemiology, Phase 5). Three studies reported positive results across different settings [9698]. Given the importance of increasing physical activity and reducing sedentary behaviours as part of a comprehensive population based approach to the prevention of non-communicable disease [105], greater priority should be given to encouraging an increase in multidisciplinary intervention research to guide national policy and programs.

Measurement of physical activity and sedentary behaviour

Underpinning the development of a strong body of research evidence on physical activity and sedentary behaviours is robust measurement of the exposure variables (Behavioral Epidemiology, Phase 2). This review revealed that many of the studies to date have employed a narrow understanding of physical activity behaviour, with their focus on “exercise” where this is a formal and structured activity. This is in contrast to the broader field of physical activity and public health which has adopted a wider view and includes all types of physical movement (such as walking, recreation, play, cycling to work, etc.) consistent with the WHO Global Recommendations [109].
Of particular concern this review revealed is the wide variability and quality in the measurement instruments used and the presentation of outcomes variables of exposure which severely limits within-and between-country comparisons. Except for those studies reporting use of two well established international measures (IPAQ and GPAQ), there was limited adoption of other valid and reliable tools to assess physical activity and sedentary behaviours, measures of the physical environment, self-reported cognitive, psychosocial measures and domain-specific measures [110]. There was one example of a formal multi-country initiative to develop, validate and utilize a specific physical activity measure for Arab populations [33]. It was the first collaborative project that assessed lifestyle-related variables in a large sample of adolescents from the nine countries of the Arab world. Most studies depended on self-report instruments with only a limited number employing objective instruments to assess either behaviours. Instruments such as accelerometers, pedometers, mobile phones or other electronic devices are increasingly being used across the international literature to address the limitations of self-report measures and are strongly recommended, especially in studies with children [111113]. Accurate measurement is critical for policy development and necessary for population monitoring of trends over time and differences between populations. It is also essential for research aimed at programme evaluation of individual-based and population-based actions [110].

Policy-relevant research

Although there were no studies that fit into the policy-related phase of the Behavioural Epidemiology Framework, we propose policy-relevant research though a critical review of our findings through the lens of international guidelines. To guide international efforts, recommendations on effective and feasible interventions have been provided on physical activity by the WHO in the Global Action Plan 2013–2020 [105]. Consistent with the 2011 report is the “Seven Investments to Promote Physical Activity” produced by Global Advocacy for Physical Activity (GAPA) [114116]; intervention strategies are identified across seven key settings (school, transport, urban design, health services, mass media, sports and the community). Sustained public education campaigns using mass media to promote physical activity is a “best investment” recommended by both WHO [105] as well as GAPA [116, 117]. Based on the findings of this review, social marketing intervention efforts in the Arab Peninsular should be gender specific and target youth, especially girls and young women [17]. Campaigns should address the identified common barriers (i.e., limited time, lack of social support) [17, 18, 7175, 86, 90, 92, 94, 95, 118123] and cultural norms that place a low value on physical activity [17, 72, 119] and restrict women’s and girls’ participation in physical activity (i.e., cultural norm that limits women from walking/running on their own, or limited space within which to walk within the home compound) [17, 90, 93, 120]. Conducting the necessary formative and pilot research would help identify the promising strategies to then test in larger scale rigorous trials, including those integrating new media and community-based approaches [124].
A quarter of the population in these six countries are under 25 years of age [125, 126]. In addition, the prevalence of physical activity in adolescent populations is low, especially among girls, [57, 58, 65, 7781]. Thus, interventions in the schools setting and implementation of a “whole of school” programme is a high priority for this region. The Health Promoting Schools (HPS) and Alharaka Baraka programmes [114, 117] provide a basis for developing and testing interventions as well as accelerating school-based action.
Limited capacity within health services to promote physical activity was identified as a key barrier [119, 127, 128]. Two interventions highlighted in this review provide some guidance on possible health services initiatives [98, 101]. Conducting research on how best to integrate promoting physical activity in health services should address gaps already identified. Suggestions have included intensive behaviour change interventions, training of healthcare workers and expanding preventive health services [119, 127130].
Internationally there is increasing focus on the role of the physical environment [131133] and consistent with other research, poor access was an identified barrier in this review [18, 71, 92, 119, 129, 134]. Better understanding the distribution, use and opportunities for improving the provision of sports programs and facilities more accessible to the general population, particularly girls and women is a priority for future research in this region. This should include better understanding of the role of informal recreational and sporting opportunities and facilities (such as hiking, biking, group exercise/aerobics, dance and martial arts).
Initiating research to examine the impact of urban planning and transport policy and practice in countries in the Arabian Peninsula is of importance. Research from elsewhere has identified that patterns of land-use, population density as well as the provision of adequate infrastructure to support ‘active transport’ (that is walking cycling and public transport) and optimal green and nature spaces are associated with higher levels of physical activity [131, 133, 135]. Given the rapid urban growth in this region as well as increasing levels of urban sprawl and motorization [136138], research is needed to inform planning policy that is tailored to the culture and regional specific contexts. For example, encouraging more active transport and recreation needs to be understood within the context of the hot arid climate of the Arabian Peninsula [17, 18, 90, 93, 119, 120, 122, 139]. Research should explore the influence of climate, including seasonal variability (a known factor in other parts of the world) [140142] and dust storms (a common event throughout the year) [143] on physical activity in the region. Initiating these lines of research may benefit from international collaborations which can build local research skills and capacity and benefit from extensive experience and protocols developed elsewhere [144, 145].

Sedentary behaviour: an emerging field of research

The study of sedentary behaviour, relatively new globally, is only now beginning to receive the attention of researchers in the countries of the Arabian Peninsula. Only a third examined sedentary behaviour and the research was limited to phases 1, 2 and 3 of the Behavioural Epidemiology Framework. The proposed research agenda would be similar to that outlined globally; an ecological model of four domains of sedentary behaviour focusing specifically on domestic screen time, extended sitting time in workplaces and schools, and time spent sitting in cars -- not only to better understand their determinants but also in designing appropriate interventions [26].

Strengths and Limitations

This is the first systematic review of physical activity and sedentary behaviour for this region and complements an earlier review of the prevalence of physical activity [146]. Adherence to the PRISMA statement and the use of three different search engines identified a substantial number of relevant studies. However, there were some limitations. First, our review was restricted to published studies in the English language. It is likely that additional studies such as government reports and scientific papers published in Arabic journals do exist but were not included. Second, the search was limited to only three multidisciplinary literature databases it is possible that additional databases may have identified more studies. Third, the variation in tools and methodologies as well as methodological quality limited within and cross-country comparability. These limitations may bias our view of the gaps in evidence and potential solutions. Nevertheless, the evidence that we have identified in this review is informative. Many evidence gaps remain in understanding how most appropriately to address physical activity and sedentary behaviour in the context of the increasing rates of NCDs in this unique region of the world.

Conclusions

The epidemiological transition, including increasing life expectancy and changing mortality patterns, in the oil-producing countries of the Arabian Peninsula has taken only 50 years; a timeframe much more rapid than for many other high-income countries. The rapidly rising prevalence of NCDs and increased susceptibility of the population to these diseases have dire consequences to future generations. The predicted trends and future burden on health care systems demands that public health action be more interventionist than those in developed countries (James PT: WHO Mission Report: Nutrition Planning for Health in 2050, unpublished). Given the low levels of physical activity in the Arabian Peninsula and high levels of sedentary behaviour, a much stronger evidence base is needed to guide action than is currently available.
Policy relevant research should be undertaken by interdisciplinary teams of policy makers and researchers [26, 108]. Guided by the Behavioural Epidemiology Framework, priority research includes examining these behaviours across the four domains (household, work, transport and leisure). Following the ecological model and using standard assessment tools will improve the quality of research. For the short-term, the most feasible and priority intervention research is in the education, health and sports sectors, especially targeting women and young people. Adapting and testing international models and assessing some of the positive examples in the Arabian Peninsula [114, 115], can help guide and/or refine current policy and practice [147].

Acknowledgements

Not applicable.

Funding

No funding was provided for this study.

Availability of data and material

Summary information of articles reviewed are provided in Tables and Supplementary materials. Endnote file is available on request.

Authors’ contributions

RMM conceived the study, conducted the literature review, drafted and finalized the manuscript, MJK assisted with the literature review, data extraction/synthesis and quality assessment. FB assisted in drafting the manuscript, and NO supervised the project. All authors critically reviewed the manuscript and approved the final version. The views expressed in this paper are those of the authors and do not necessarily reflect those of the WHO. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.
None since individual person’s data was not included.
None since this was a review.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Rahim HF, Sibai A, Khader Y, Hwalla N, Fadhil I, Alsiyabi H, Mataria A, Mendis S, Mokdad AH, Husseini A. Non-communicable diseases in the Arab world. Lancet. 2014;383(9914):356–67.PubMedCrossRef Rahim HF, Sibai A, Khader Y, Hwalla N, Fadhil I, Alsiyabi H, Mataria A, Mendis S, Mokdad AH, Husseini A. Non-communicable diseases in the Arab world. Lancet. 2014;383(9914):356–67.PubMedCrossRef
2.
Zurück zum Zitat Mokdad AH, Jaber S, Aziz MI, AlBuhairan F, AlGhaithi A, AlHamad NM, Al-Hooti SN, Al-Jasari A, AlMazroa MA, AlQasmi AM, et al. The state of health in the Arab world, 1990–2010: an analysis of the burden of diseases, injuries, and risk factors. Lancet. 2014;383(9914):309–20.PubMedCrossRef Mokdad AH, Jaber S, Aziz MI, AlBuhairan F, AlGhaithi A, AlHamad NM, Al-Hooti SN, Al-Jasari A, AlMazroa MA, AlQasmi AM, et al. The state of health in the Arab world, 1990–2010: an analysis of the burden of diseases, injuries, and risk factors. Lancet. 2014;383(9914):309–20.PubMedCrossRef
3.
Zurück zum Zitat World Health Organization. Global Status Report on noncommunicable diseases 2014. Geneva: World Health Organization; 2014. World Health Organization. Global Status Report on noncommunicable diseases 2014. Geneva: World Health Organization; 2014.
4.
Zurück zum Zitat Poston L, Harthoorn LF, Van Der Beek EM. Obesity in pregnancy: implications for the mother and lifelong health of the child. A consensus statement. Pediatr Res. 2010;69(2):175–80.CrossRef Poston L, Harthoorn LF, Van Der Beek EM. Obesity in pregnancy: implications for the mother and lifelong health of the child. A consensus statement. Pediatr Res. 2010;69(2):175–80.CrossRef
6.
Zurück zum Zitat Gibbs BB, Hergenroeder AL, Katzmarzyk PT, Lee IM, Jakicic JM. Definition, measurement, and health risks associated with sedentary behavior. Med Sci Sports Exerc. 2015;47(6):1295–300.PubMedPubMedCentralCrossRef Gibbs BB, Hergenroeder AL, Katzmarzyk PT, Lee IM, Jakicic JM. Definition, measurement, and health risks associated with sedentary behavior. Med Sci Sports Exerc. 2015;47(6):1295–300.PubMedPubMedCentralCrossRef
7.
Zurück zum Zitat Pate RR, O’Neill JR, Lobelo F. The evolving definition of “sedentary”. Exerc Sport Sci Rev. 2008;36(4):173–8.PubMedCrossRef Pate RR, O’Neill JR, Lobelo F. The evolving definition of “sedentary”. Exerc Sport Sci Rev. 2008;36(4):173–8.PubMedCrossRef
8.
Zurück zum Zitat Owen N, Salmon J, Koohsari MJ, Turrell G, Giles-Corti B. Sedentary behaviour and health: mapping environmental and social contexts to underpin chronic disease prevention. Br J Sports Med. 2014;48(3):174–7.PubMedCrossRef Owen N, Salmon J, Koohsari MJ, Turrell G, Giles-Corti B. Sedentary behaviour and health: mapping environmental and social contexts to underpin chronic disease prevention. Br J Sports Med. 2014;48(3):174–7.PubMedCrossRef
9.
Zurück zum Zitat Owen N, Sparling PB, Healy GN, Dunstan DW, Matthews CE. Sedentary behavior: emerging evidence for a new health risk. Mayo Clin Proc. 2010;85(12):1138–41.PubMedPubMedCentralCrossRef Owen N, Sparling PB, Healy GN, Dunstan DW, Matthews CE. Sedentary behavior: emerging evidence for a new health risk. Mayo Clin Proc. 2010;85(12):1138–41.PubMedPubMedCentralCrossRef
10.
Zurück zum Zitat Ekelund U, Steene-Johannessen J, Brown WJ, Fagerland MW, Owen N, Powell KE, Bauman A, Lee IM, Lancet Physical Activity Series 2 Executive C, Lancet Sedentary Behaviour Working G: Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet 2016. Ekelund U, Steene-Johannessen J, Brown WJ, Fagerland MW, Owen N, Powell KE, Bauman A, Lee IM, Lancet Physical Activity Series 2 Executive C, Lancet Sedentary Behaviour Working G: Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet 2016.
11.
Zurück zum Zitat Musaiger AO, Hassan AS, Obeid O. The paradox of nutrition-related diseases in the Arab countries: the need for action. Int J Environ Res Public Health. 2011;8(9):3637–71.PubMedPubMedCentralCrossRef Musaiger AO, Hassan AS, Obeid O. The paradox of nutrition-related diseases in the Arab countries: the need for action. Int J Environ Res Public Health. 2011;8(9):3637–71.PubMedPubMedCentralCrossRef
12.
Zurück zum Zitat Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodie ML, Gortmaker SL. The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011;378(9793):804–14.PubMedCrossRef Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodie ML, Gortmaker SL. The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011;378(9793):804–14.PubMedCrossRef
13.
15.
Zurück zum Zitat Ng SW, Zaghloul S, Ali HI, Harrison G, Popkin BM. The prevalence and trends of overweight, obesity and nutrition-related non-communicable diseases in the Arabian Gulf States. Obes Rev. 2010;12(1):1–13.CrossRef Ng SW, Zaghloul S, Ali HI, Harrison G, Popkin BM. The prevalence and trends of overweight, obesity and nutrition-related non-communicable diseases in the Arabian Gulf States. Obes Rev. 2010;12(1):1–13.CrossRef
16.
Zurück zum Zitat *Mabry RM, Winkler EA, Reeves MM, Eakin EG, Owen N. Associations of physical activity and sitting time with the metabolic syndrome among Omani adults. Obesity (Silver Spring). 2012;20(11):2290–5.CrossRef *Mabry RM, Winkler EA, Reeves MM, Eakin EG, Owen N. Associations of physical activity and sitting time with the metabolic syndrome among Omani adults. Obesity (Silver Spring). 2012;20(11):2290–5.CrossRef
17.
Zurück zum Zitat *Mabry RM, Al-Busaidi ZQ, Reeves MM, Owen N, Eakin EG. Addressing physical inactivity in Omani adults: perceptions of public health managers. Public Health Nutr. 2013;1:8. *Mabry RM, Al-Busaidi ZQ, Reeves MM, Owen N, Eakin EG. Addressing physical inactivity in Omani adults: perceptions of public health managers. Public Health Nutr. 2013;1:8.
18.
Zurück zum Zitat *Ali HI, Baynouna LM, Bernsen RM. Barriers and facilitators of weight management: perspectives of Arab women at risk for type 2 diabetes. Health Soc Care Community. 2010;18(2):219–28.PubMedCrossRef *Ali HI, Baynouna LM, Bernsen RM. Barriers and facilitators of weight management: perspectives of Arab women at risk for type 2 diabetes. Health Soc Care Community. 2010;18(2):219–28.PubMedCrossRef
19.
Zurück zum Zitat Bell AC, Ge K, Popkin BM. The road to obesity or the path to prevention: motorized transportation and obesity in China. Obes Res. 2002;10(4):277–83.PubMedCrossRef Bell AC, Ge K, Popkin BM. The road to obesity or the path to prevention: motorized transportation and obesity in China. Obes Res. 2002;10(4):277–83.PubMedCrossRef
20.
Zurück zum Zitat Ng SW, Norton EC, Popkin BM. Why have physical activity levels declined among Chinese adults? Findings from the 1991–2006 China Health and Nutrition Surveys. Soc Sci Med. 2009;68(7):1305–14.PubMedPubMedCentralCrossRef Ng SW, Norton EC, Popkin BM. Why have physical activity levels declined among Chinese adults? Findings from the 1991–2006 China Health and Nutrition Surveys. Soc Sci Med. 2009;68(7):1305–14.PubMedPubMedCentralCrossRef
21.
Zurück zum Zitat Monda KL, Gordon-Larsen P, Stevens J, Popkin BM. China’s transition: the effect of rapid urbanization on adult occupational physical activity. Soc Sci Med. 2007;64(4):858–70.PubMedCrossRef Monda KL, Gordon-Larsen P, Stevens J, Popkin BM. China’s transition: the effect of rapid urbanization on adult occupational physical activity. Soc Sci Med. 2007;64(4):858–70.PubMedCrossRef
22.
Zurück zum Zitat Owen N, Healy GN, Matthews CE, Dunstan DW. Too much sitting: the population health science of sedentary behavior. Exerc Sport Sci Rev. 2010;38(3):105–13.PubMedPubMedCentralCrossRef Owen N, Healy GN, Matthews CE, Dunstan DW. Too much sitting: the population health science of sedentary behavior. Exerc Sport Sci Rev. 2010;38(3):105–13.PubMedPubMedCentralCrossRef
23.
Zurück zum Zitat Sallis JF, Owen N, Fotheringham MJ. Behavioral epidemiology: a systematic framework to classify phases of research on health promotion and disease prevention. Ann Behav Med. 2000;22(4):294–8.PubMedCrossRef Sallis JF, Owen N, Fotheringham MJ. Behavioral epidemiology: a systematic framework to classify phases of research on health promotion and disease prevention. Ann Behav Med. 2000;22(4):294–8.PubMedCrossRef
24.
Zurück zum Zitat World Health Organization (Regional Office of the Eastern Mediterranean Region). Promoting physical activity in the Eastern Mediterranean Region, a call for action. 2014. World Health Organization (Regional Office of the Eastern Mediterranean Region). Promoting physical activity in the Eastern Mediterranean Region, a call for action. 2014.
25.
Zurück zum Zitat Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7), e1000097.PubMedPubMedCentralCrossRef Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7), e1000097.PubMedPubMedCentralCrossRef
26.
Zurück zum Zitat Owen N, Sugiyama T, Eakin EE, Gardiner PA, Tremblay MS, Sallis JF. Adults’ sedentary behavior determinants and interventions. Am J Prev Med. 2011;41(2):189–96.PubMedCrossRef Owen N, Sugiyama T, Eakin EE, Gardiner PA, Tremblay MS, Sallis JF. Adults’ sedentary behavior determinants and interventions. Am J Prev Med. 2011;41(2):189–96.PubMedCrossRef
27.
Zurück zum Zitat Sallis JF, Owen N, Fisher EB. Ecological models of health behavior. In: Glanz K, Rimer K, Viswanath K, editors. Health Behavior and Health Education: Theory, Research, and Practice. Fourthth ed. San Francisco: Jossey-Bass; 2008. p. 465–82. Sallis JF, Owen N, Fisher EB. Ecological models of health behavior. In: Glanz K, Rimer K, Viswanath K, editors. Health Behavior and Health Education: Theory, Research, and Practice. Fourthth ed. San Francisco: Jossey-Bass; 2008. p. 465–82.
28.
Zurück zum Zitat Higgins JP, Altman DG, Gotzsche PC, Juni P, Moher D, Oxman AD, Savovic J, Schulz KF, Weeks L, Sterne JA, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928.PubMedPubMedCentralCrossRef Higgins JP, Altman DG, Gotzsche PC, Juni P, Moher D, Oxman AD, Savovic J, Schulz KF, Weeks L, Sterne JA, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928.PubMedPubMedCentralCrossRef
29.
Zurück zum Zitat Long AF, Godfrey M. An evaluation tool to assess the quality of qualitative research studies. Int J Soc Res Methodol Theory Pract. 2004;7(2):181–96.CrossRef Long AF, Godfrey M. An evaluation tool to assess the quality of qualitative research studies. Int J Soc Res Methodol Theory Pract. 2004;7(2):181–96.CrossRef
30.
Zurück zum Zitat Armstrong T, Bull F. Development of the World Health Organization Global Physical Activity Questionnaire (GPAQ). J Public Health. 2006;14:66–70.CrossRef Armstrong T, Bull F. Development of the World Health Organization Global Physical Activity Questionnaire (GPAQ). J Public Health. 2006;14:66–70.CrossRef
31.
Zurück zum Zitat Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95.PubMedCrossRef Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95.PubMedCrossRef
32.
Zurück zum Zitat *Abd-El-Fattah SM. Rasch Rating Scale Analysis of the Arabic Version of the Physical Activity Self-Efficacy Scale for Adolescents: A Social Cognitive Perspective. Psychology. 2015;06(16):2161–80.CrossRef *Abd-El-Fattah SM. Rasch Rating Scale Analysis of the Arabic Version of the Physical Activity Self-Efficacy Scale for Adolescents: A Social Cognitive Perspective. Psychology. 2015;06(16):2161–80.CrossRef
33.
Zurück zum Zitat *Al-Hazzaa HM, Al-Sobayel HI, Musaiger AO. Convergent validity of the Arab Teens Lifestyle Study (ATLS) physical activity questionnaire. Int J Environ Res Public Health. 2011;8(9):3810–20.PubMedPubMedCentralCrossRef *Al-Hazzaa HM, Al-Sobayel HI, Musaiger AO. Convergent validity of the Arab Teens Lifestyle Study (ATLS) physical activity questionnaire. Int J Environ Res Public Health. 2011;8(9):3810–20.PubMedPubMedCentralCrossRef
34.
Zurück zum Zitat *Platat C, Jarrar A. Reliability and validity of a physical activity questionnaire in children. Int J Food Sci Nutr. 2011;63(6):637–44.PubMedCrossRef *Platat C, Jarrar A. Reliability and validity of a physical activity questionnaire in children. Int J Food Sci Nutr. 2011;63(6):637–44.PubMedCrossRef
35.
Zurück zum Zitat *Shah SM, Loney T, Sheek-Hussein M, El Sadig M, Al Dhaheri S, El Barazi I, Al Marzouqi L, Aw TC, Ali R. Hypertension prevalence, awareness, treatment, and control, in male South Asian immigrants in the United Arab Emirates: a cross-sectional study. BMC Cardiovasc Disord. 2015;15:30.PubMedPubMedCentralCrossRef *Shah SM, Loney T, Sheek-Hussein M, El Sadig M, Al Dhaheri S, El Barazi I, Al Marzouqi L, Aw TC, Ali R. Hypertension prevalence, awareness, treatment, and control, in male South Asian immigrants in the United Arab Emirates: a cross-sectional study. BMC Cardiovasc Disord. 2015;15:30.PubMedPubMedCentralCrossRef
36.
Zurück zum Zitat *Al-Mahroos F, Al-Roomi K. Obesity among adult Bahraini population: impact of physical activity and educational level. Ann Saudi Med. 2001;21(3–4):183–7.PubMed *Al-Mahroos F, Al-Roomi K. Obesity among adult Bahraini population: impact of physical activity and educational level. Ann Saudi Med. 2001;21(3–4):183–7.PubMed
37.
Zurück zum Zitat *Ardawi MS, Rouzi AA, Qari MH. Physical activity in relation to serum sclerostin, insulin-like growth factor-1, and bone turnover markers in healthy premenopausal women: a cross-sectional and a longitudinal study. J Clin Endocrinol Metab. 2012;97(10):3691–9.PubMedCrossRef *Ardawi MS, Rouzi AA, Qari MH. Physical activity in relation to serum sclerostin, insulin-like growth factor-1, and bone turnover markers in healthy premenopausal women: a cross-sectional and a longitudinal study. J Clin Endocrinol Metab. 2012;97(10):3691–9.PubMedCrossRef
38.
Zurück zum Zitat *Salman RA, Al-Rubeaan KA. Incidence and risk factors of hypertension among Saudi type 2 diabetes adult patients: an 11-year prospective randomized study. J Diabetes Complications. 2009;23(2):95–101.PubMedCrossRef *Salman RA, Al-Rubeaan KA. Incidence and risk factors of hypertension among Saudi type 2 diabetes adult patients: an 11-year prospective randomized study. J Diabetes Complications. 2009;23(2):95–101.PubMedCrossRef
39.
Zurück zum Zitat Al-Nozha MM, Al-Hazzaa HM, Arafah MR, Al-Khadra A, Al-Mazrou YY, Al-Maatouq MA, Khan NB, Al-Marzouki K, Al-Harthi SS, Abdullah M, et al. Prevalence of physical activity and inactivity among Saudis aged 30–70 years. A population-based cross-sectional study. Saudi Med J. 2007;28(4):559–68.PubMed Al-Nozha MM, Al-Hazzaa HM, Arafah MR, Al-Khadra A, Al-Mazrou YY, Al-Maatouq MA, Khan NB, Al-Marzouki K, Al-Harthi SS, Abdullah M, et al. Prevalence of physical activity and inactivity among Saudis aged 30–70 years. A population-based cross-sectional study. Saudi Med J. 2007;28(4):559–68.PubMed
40.
Zurück zum Zitat *Rouzi AA, Al-Sibiani SA, Al-Senani NS, Radaddi RM, Ardawi MS. Independent predictors of all osteoporosis-related fractures among healthy Saudi postmenopausal women: the CEOR Study. Bone. 2011;50(3):713–22.PubMed *Rouzi AA, Al-Sibiani SA, Al-Senani NS, Radaddi RM, Ardawi MS. Independent predictors of all osteoporosis-related fractures among healthy Saudi postmenopausal women: the CEOR Study. Bone. 2011;50(3):713–22.PubMed
41.
Zurück zum Zitat *Al Junaibi A, Abdulle A, Sabri S, Hag-Ali M, Nagelkerke N. The prevalence and potential determinants of obesity among school children and adolescents in Abu Dhabi, United Arab Emirates. Int J Obes (Lond). 2012;37(1):68–74.CrossRef *Al Junaibi A, Abdulle A, Sabri S, Hag-Ali M, Nagelkerke N. The prevalence and potential determinants of obesity among school children and adolescents in Abu Dhabi, United Arab Emirates. Int J Obes (Lond). 2012;37(1):68–74.CrossRef
42.
Zurück zum Zitat Kerkadi A, Abo-Elnaga N, Ibrahim W. Prevalence of overweight and associated risk factors among primary female school children in Al-Ain city United Arab Emirates. Emirates J Food Agric. 2005;17:1. Kerkadi A, Abo-Elnaga N, Ibrahim W. Prevalence of overweight and associated risk factors among primary female school children in Al-Ain city United Arab Emirates. Emirates J Food Agric. 2005;17:1.
43.
Zurück zum Zitat *Yousef S, Eapen V, Zoubeidi T, Mabrouk A. Behavioral Correlation with Television Viewing and Videogame Use among Children in the United Arab Emirates. Int J Psychiatry Clin Pract. 2013;18:203–7. *Yousef S, Eapen V, Zoubeidi T, Mabrouk A. Behavioral Correlation with Television Viewing and Videogame Use among Children in the United Arab Emirates. Int J Psychiatry Clin Pract. 2013;18:203–7.
44.
Zurück zum Zitat *Al-Kilani H, Waly M, Yousef R. Trends of Obesity and Overweight among College Students in Oman: A cross sectional study. Sultan Qaboos Univ Med J. 2012;12(1):69–76.PubMedPubMedCentralCrossRef *Al-Kilani H, Waly M, Yousef R. Trends of Obesity and Overweight among College Students in Oman: A cross sectional study. Sultan Qaboos Univ Med J. 2012;12(1):69–76.PubMedPubMedCentralCrossRef
46.
Zurück zum Zitat *Al-Ghimlas F, Subbramaniam K, Al-Owaish O, Bilas MT, Behbehani K. The Effects of Supervised Exercise Program on Health-Related Physical Fitness in Kuwait. British J Med Med Res. 2014;4(32):5083.CrossRef *Al-Ghimlas F, Subbramaniam K, Al-Owaish O, Bilas MT, Behbehani K. The Effects of Supervised Exercise Program on Health-Related Physical Fitness in Kuwait. British J Med Med Res. 2014;4(32):5083.CrossRef
47.
Zurück zum Zitat *Kneffel Z, Goebel R, Alkhatib A. Car-diovascular risk factors and their re-sponses to a 10 weeks training pro-gram in young Qatari adults. Obes Res Open J. 2015;2(2):57–63.CrossRef *Kneffel Z, Goebel R, Alkhatib A. Car-diovascular risk factors and their re-sponses to a 10 weeks training pro-gram in young Qatari adults. Obes Res Open J. 2015;2(2):57–63.CrossRef
48.
Zurück zum Zitat *Al-Hamdan NA, Al-Zalabani AH, Saeed AA. Comparative study of physical activity of hypertensives and normotensives: A cross-sectional study of adults in Saudi Arabia. J Family Community Med. 2012;19(3):162–6.PubMedPubMedCentralCrossRef *Al-Hamdan NA, Al-Zalabani AH, Saeed AA. Comparative study of physical activity of hypertensives and normotensives: A cross-sectional study of adults in Saudi Arabia. J Family Community Med. 2012;19(3):162–6.PubMedPubMedCentralCrossRef
49.
Zurück zum Zitat *El Bcheraoui C, Memish ZA, Tuffaha M, Daoud F, Robinson M, Jaber S, Mikhitarian S, Al Saeedi M, AlMazroa MA, Mokdad AH, et al. Hypertension and its associated risk factors in the kingdom of saudi arabia, 2013: a national survey. Int J Hypertens. 2014;2014:564679.PubMedPubMedCentral *El Bcheraoui C, Memish ZA, Tuffaha M, Daoud F, Robinson M, Jaber S, Mikhitarian S, Al Saeedi M, AlMazroa MA, Mokdad AH, et al. Hypertension and its associated risk factors in the kingdom of saudi arabia, 2013: a national survey. Int J Hypertens. 2014;2014:564679.PubMedPubMedCentral
50.
Zurück zum Zitat *Abdi S, Sadiya A, Ali S, Varghese S, Abusnana S. Behavioural Lifestyle Intervention Study (BLIS) in patients with type 2 diabetes in the United Arab Emirates: A randomized controlled trial. BMC Nutrition. 2015;1(1):1.CrossRef *Abdi S, Sadiya A, Ali S, Varghese S, Abusnana S. Behavioural Lifestyle Intervention Study (BLIS) in patients with type 2 diabetes in the United Arab Emirates: A randomized controlled trial. BMC Nutrition. 2015;1(1):1.CrossRef
51.
Zurück zum Zitat *Sadiya A, Abdi S, Abusnana S. Lifestyle Intervention for Weight Loss: a group-based program for Emiratis in Ajman, United Arab Emirates. Diabetes Metab Syndr Obes. 2016;9:101–8.PubMedPubMedCentral *Sadiya A, Abdi S, Abusnana S. Lifestyle Intervention for Weight Loss: a group-based program for Emiratis in Ajman, United Arab Emirates. Diabetes Metab Syndr Obes. 2016;9:101–8.PubMedPubMedCentral
52.
Zurück zum Zitat *Tomar RH, Hashim MH, Al-Qahtani MH. Effects of a 12-week aerobic training on glycemic control in type 2 diabetes mellitus male patients. Saudi Med J. 2013;34(7):757–9.PubMed *Tomar RH, Hashim MH, Al-Qahtani MH. Effects of a 12-week aerobic training on glycemic control in type 2 diabetes mellitus male patients. Saudi Med J. 2013;34(7):757–9.PubMed
53.
Zurück zum Zitat *Alghadir AH, Gabr SA, Al-Eisa ES, Alghadir MH. Correlation between bone mineral density and serum trace elements in response to supervised aerobic training in older adults. Clin Interv Aging. 2016;11:265–73.PubMedPubMedCentral *Alghadir AH, Gabr SA, Al-Eisa ES, Alghadir MH. Correlation between bone mineral density and serum trace elements in response to supervised aerobic training in older adults. Clin Interv Aging. 2016;11:265–73.PubMedPubMedCentral
54.
Zurück zum Zitat *El-Aty MA, Mabry R, Morsi M, Al-Lawati J, Al-Riyami A, El-Sayed M. Metabolic Syndrome and Its Components: Secondary analysis of the World Health Survey, Oman. Sultan Qaboos University medical journal. 2014;14(4):e460–467.PubMedPubMedCentral *El-Aty MA, Mabry R, Morsi M, Al-Lawati J, Al-Riyami A, El-Sayed M. Metabolic Syndrome and Its Components: Secondary analysis of the World Health Survey, Oman. Sultan Qaboos University medical journal. 2014;14(4):e460–467.PubMedPubMedCentral
55.
Zurück zum Zitat *Tuffaha M, El Bcheraoui C, Daoud F, Al Hussaini HA, Alamri F, Al Saeedi M, Basulaiman M, Memish ZA, AlMazroa MA, Al Rabeeah AA, et al. Deficiencies Under Plenty of Sun: Vitamin D Status among Adults in the Kingdom of Saudi Arabia, 2013. N Am J Med Sci. 2015;7(10):467–75.PubMedPubMedCentralCrossRef *Tuffaha M, El Bcheraoui C, Daoud F, Al Hussaini HA, Alamri F, Al Saeedi M, Basulaiman M, Memish ZA, AlMazroa MA, Al Rabeeah AA, et al. Deficiencies Under Plenty of Sun: Vitamin D Status among Adults in the Kingdom of Saudi Arabia, 2013. N Am J Med Sci. 2015;7(10):467–75.PubMedPubMedCentralCrossRef
56.
Zurück zum Zitat *Muhairi SJ, Mehairi AE, Khouri AA, Naqbi MM, Maskari FA, Al Kaabi J, Al Dhaheri AS, Nagelkerke N, Shah SM. Vitamin D deficiency among healthy adolescents in Al Ain. United Arab Emirates BMC Public Health. 2013;13:33.PubMedCrossRef *Muhairi SJ, Mehairi AE, Khouri AA, Naqbi MM, Maskari FA, Al Kaabi J, Al Dhaheri AS, Nagelkerke N, Shah SM. Vitamin D deficiency among healthy adolescents in Al Ain. United Arab Emirates BMC Public Health. 2013;13:33.PubMedCrossRef
57.
Zurück zum Zitat *Al-Nakeeb Y, Lyons M, Collins P, Al-Nuaim A, Al-Hazzaa H, Duncan MJ, Nevill A. Obesity, physical activity and sedentary behavior amongst British and Saudi youth: a cross-cultural study. Int J Environ Res Public Health. 2012;9(4):1490–506.PubMedPubMedCentralCrossRef *Al-Nakeeb Y, Lyons M, Collins P, Al-Nuaim A, Al-Hazzaa H, Duncan MJ, Nevill A. Obesity, physical activity and sedentary behavior amongst British and Saudi youth: a cross-cultural study. Int J Environ Res Public Health. 2012;9(4):1490–506.PubMedPubMedCentralCrossRef
58.
Zurück zum Zitat *Al-Nuaim AA, Al-Nakeeb Y, Lyons M, Al-Hazzaa HM, Nevill A, Collins P, Duncan MJ. The Prevalence of Physical Activity and Sedentary Behaviours Relative to Obesity among Adolescents from Al-Ahsa, Saudi Arabia: Rural versus Urban Variations. J Nutr Metab. 2012;2012:417589.PubMedPubMedCentral *Al-Nuaim AA, Al-Nakeeb Y, Lyons M, Al-Hazzaa HM, Nevill A, Collins P, Duncan MJ. The Prevalence of Physical Activity and Sedentary Behaviours Relative to Obesity among Adolescents from Al-Ahsa, Saudi Arabia: Rural versus Urban Variations. J Nutr Metab. 2012;2012:417589.PubMedPubMedCentral
59.
Zurück zum Zitat *Alrashidi M, Shahwan-Akl L, James J, Jones L. Contributing factors to childhood overweight and obesity in Kuwait. International Journal of Health Sciences. 2015;3(1):133–55. *Alrashidi M, Shahwan-Akl L, James J, Jones L. Contributing factors to childhood overweight and obesity in Kuwait. International Journal of Health Sciences. 2015;3(1):133–55.
60.
Zurück zum Zitat *Al-Haifi AR, Al-Fayez MA, Al-Athari BI, Al-Ajmi FA, Allafi AR, Al-Hazzaa HM, Musaiger AO. Relative contribution of physical activity, sedentary behaviors, and dietary habits to the prevalence of obesity among Kuwaiti adolescents. Food Nutr Bull. 2013;34(1):6–13.PubMedCrossRef *Al-Haifi AR, Al-Fayez MA, Al-Athari BI, Al-Ajmi FA, Allafi AR, Al-Hazzaa HM, Musaiger AO. Relative contribution of physical activity, sedentary behaviors, and dietary habits to the prevalence of obesity among Kuwaiti adolescents. Food Nutr Bull. 2013;34(1):6–13.PubMedCrossRef
61.
Zurück zum Zitat *Al-Hazzaa HM, Abahussain NA, Al-Sobayel HI, Qahwaji DM, Musaiger AO. Lifestyle factors associated with overweight and obesity among Saudi adolescents. BMC Public Health. 2012;12:354.PubMedPubMedCentralCrossRef *Al-Hazzaa HM, Abahussain NA, Al-Sobayel HI, Qahwaji DM, Musaiger AO. Lifestyle factors associated with overweight and obesity among Saudi adolescents. BMC Public Health. 2012;12:354.PubMedPubMedCentralCrossRef
62.
Zurück zum Zitat *Alqahtani N, Scott J. S U: Physical Activity and Sedentary Behaviors as Risk Factors of Obesity among Rural Adolescents. Journal of Child and Adolescent Behaviour. 2015;42:13. *Alqahtani N, Scott J. S U: Physical Activity and Sedentary Behaviors as Risk Factors of Obesity among Rural Adolescents. Journal of Child and Adolescent Behaviour. 2015;42:13.
63.
Zurück zum Zitat *Al-Eisa ES, Al-Sobayel HI. Physical Activity and Health Beliefs among Saudi Women. J Nutr Metab. 2012;2012:642187.PubMedPubMedCentral *Al-Eisa ES, Al-Sobayel HI. Physical Activity and Health Beliefs among Saudi Women. J Nutr Metab. 2012;2012:642187.PubMedPubMedCentral
64.
Zurück zum Zitat *Al-Eisa E, Buragadda S, Melam GR. Association between physical activity and psychological status among Saudi female students. BMC Psychiatry. 2014;14:238.PubMedPubMedCentralCrossRef *Al-Eisa E, Buragadda S, Melam GR. Association between physical activity and psychological status among Saudi female students. BMC Psychiatry. 2014;14:238.PubMedPubMedCentralCrossRef
65.
Zurück zum Zitat *Al-Hazzaa HM, Al-Rasheedi AA. Adiposity and physical activity levels among preschool children in Jeddah. Saudi Arabia Saudi Med J. 2007;28(5):766–73.PubMed *Al-Hazzaa HM, Al-Rasheedi AA. Adiposity and physical activity levels among preschool children in Jeddah. Saudi Arabia Saudi Med J. 2007;28(5):766–73.PubMed
66.
Zurück zum Zitat *Alkahtani SA, Elkilany AM, Al-Mohannadi AS, AlDuhIshy AM. Relationship Between Self-Reported Dietary Intake and Measured Physical Activity among Male Students in the Preparatory Year in University of Dammam in Saudi Arabia. Curr Res Nutr Food Sci J. 2015;3(2):130–9.CrossRef *Alkahtani SA, Elkilany AM, Al-Mohannadi AS, AlDuhIshy AM. Relationship Between Self-Reported Dietary Intake and Measured Physical Activity among Male Students in the Preparatory Year in University of Dammam in Saudi Arabia. Curr Res Nutr Food Sci J. 2015;3(2):130–9.CrossRef
67.
Zurück zum Zitat *Basulaiman M, El Bcheraoui C, Tuffaha M, Robinson M, Daoud F, Jaber S, Mikhitarian S, Wilson S, Memish ZA, Al Saeedi M, et al. Hypercholesterolemia and its associated risk factors-Kingdom of Saudi Arabia, 2013. Ann Epidemiol. 2014;24(11):801–8.PubMedCrossRef *Basulaiman M, El Bcheraoui C, Tuffaha M, Robinson M, Daoud F, Jaber S, Mikhitarian S, Wilson S, Memish ZA, Al Saeedi M, et al. Hypercholesterolemia and its associated risk factors-Kingdom of Saudi Arabia, 2013. Ann Epidemiol. 2014;24(11):801–8.PubMedCrossRef
68.
Zurück zum Zitat *Moradi-Lakeh M, El Bcheraoui C, Tuffaha M, Daoud F, Al Saeedi M, Basulaiman M, Memish ZA, AlMazroa MA, Al Rabeeah AA, Mokdad AH. Self-Rated Health Among Saudi Adults: Findings from a National Survey, 2013. J Community Health. 2015;40(5):920–6.PubMedCrossRef *Moradi-Lakeh M, El Bcheraoui C, Tuffaha M, Daoud F, Al Saeedi M, Basulaiman M, Memish ZA, AlMazroa MA, Al Rabeeah AA, Mokdad AH. Self-Rated Health Among Saudi Adults: Findings from a National Survey, 2013. J Community Health. 2015;40(5):920–6.PubMedCrossRef
69.
Zurück zum Zitat *Al Thani M, Al Thani A, Al-Chetachi W, Al Malki B, Khalifa SAH, Bakri AH, Hwalla N, Nasreddine L, Naja F. Lifestyle Patterns Are Associated with Elevated Blood Pressure among Qatari Women of Reproductive Age: A Cross-Sectional National Study. Nutrients. 2015;7(9):7593–615.PubMedPubMedCentralCrossRef *Al Thani M, Al Thani A, Al-Chetachi W, Al Malki B, Khalifa SAH, Bakri AH, Hwalla N, Nasreddine L, Naja F. Lifestyle Patterns Are Associated with Elevated Blood Pressure among Qatari Women of Reproductive Age: A Cross-Sectional National Study. Nutrients. 2015;7(9):7593–615.PubMedPubMedCentralCrossRef
70.
Zurück zum Zitat *Mabry RM, Winkler EA, Reeves MM, Eakin EG, Owen N. Correlates of Omani adults’ physical inactivity and sitting time. Public Health Nutr. 2012;16(1):65–72.PubMed *Mabry RM, Winkler EA, Reeves MM, Eakin EG, Owen N. Correlates of Omani adults’ physical inactivity and sitting time. Public Health Nutr. 2012;16(1):65–72.PubMed
71.
Zurück zum Zitat *AlQuaiz AM, Tayel SA. Barriers to a healthy lifestyle among patients attending primary care clinics at a university hospital in Riyadh. Ann Saudi Med. 2009;29(1):30–5.PubMedPubMedCentralCrossRef *AlQuaiz AM, Tayel SA. Barriers to a healthy lifestyle among patients attending primary care clinics at a university hospital in Riyadh. Ann Saudi Med. 2009;29(1):30–5.PubMedPubMedCentralCrossRef
72.
Zurück zum Zitat *Awadalla NJ, Aboelyazed AE, Hassanein MA, Khalil SN, Aftab R, Gaballa II, Mahfouz AA. Assessment of physical inactivity and perceived barriers to physical activity among health college students, south-western Saudi Arabia. East Mediterr Health J. 2014;20(10):596–604.PubMed *Awadalla NJ, Aboelyazed AE, Hassanein MA, Khalil SN, Aftab R, Gaballa II, Mahfouz AA. Assessment of physical inactivity and perceived barriers to physical activity among health college students, south-western Saudi Arabia. East Mediterr Health J. 2014;20(10):596–604.PubMed
73.
Zurück zum Zitat *Gawwad ES. Stages of change in physical activity, self efficacy and decisional balance among saudi university students. J Family Community Med. 2008;15(3):107–15.PubMedPubMedCentral *Gawwad ES. Stages of change in physical activity, self efficacy and decisional balance among saudi university students. J Family Community Med. 2008;15(3):107–15.PubMedPubMedCentral
74.
Zurück zum Zitat *Youssef RM, Al Shafie K, Al-Mukhaini M, Al-Balushi H. Physical activity and perceived barriers among high-school students in Muscat. Oman East Mediterr Health J. 2013;19(9):759–68.PubMed *Youssef RM, Al Shafie K, Al-Mukhaini M, Al-Balushi H. Physical activity and perceived barriers among high-school students in Muscat. Oman East Mediterr Health J. 2013;19(9):759–68.PubMed
75.
Zurück zum Zitat *Al-Otaibi HH. Measuring Stages of Change, Perceived Barriers and Self efficacy for Physical Activity in Saudi Arabia. Asian Pac J Cancer Prev. 2013;14(2):1009–16.PubMedCrossRef *Al-Otaibi HH. Measuring Stages of Change, Perceived Barriers and Self efficacy for Physical Activity in Saudi Arabia. Asian Pac J Cancer Prev. 2013;14(2):1009–16.PubMedCrossRef
76.
Zurück zum Zitat *Al-Hazzaa HM. Health-enhancing physical activity among Saudi adults using the International Physical Activity Questionnaire (IPAQ). Public Health Nutr. 2007;10(1):59–64.PubMed *Al-Hazzaa HM. Health-enhancing physical activity among Saudi adults using the International Physical Activity Questionnaire (IPAQ). Public Health Nutr. 2007;10(1):59–64.PubMed
77.
Zurück zum Zitat *Allafi A, Al-Haifi AR, Al-Fayez MA, Al-Athari BI, Al-Ajmi FA, Al-Hazzaa HM, Musaiger AO, Ahmed F. Physical activity, sedentary behaviours and dietary habits among Kuwaiti adolescents: gender differences. Public Health Nutr. 2013;1:8. *Allafi A, Al-Haifi AR, Al-Fayez MA, Al-Athari BI, Al-Ajmi FA, Al-Hazzaa HM, Musaiger AO, Ahmed F. Physical activity, sedentary behaviours and dietary habits among Kuwaiti adolescents: gender differences. Public Health Nutr. 2013;1:8.
78.
Zurück zum Zitat *Al-Hazzaa HM, Abahussain NA, Al-Sobayel HI, Qahwaji DM, Musaiger AO. Physical activity, sedentary behaviors and dietary habits among Saudi adolescents relative to age, gender and region. Int J Behav Nutr Phys Act. 2011;8:140.PubMedPubMedCentralCrossRef *Al-Hazzaa HM, Abahussain NA, Al-Sobayel HI, Qahwaji DM, Musaiger AO. Physical activity, sedentary behaviors and dietary habits among Saudi adolescents relative to age, gender and region. Int J Behav Nutr Phys Act. 2011;8:140.PubMedPubMedCentralCrossRef
79.
Zurück zum Zitat Al-Hazzaa HM, Alahmadi MA, Al-Sobayel HI, Abahussain NA, Qahwaji DM, Musaiger AO. Patterns and Determinants of Physical Activity Among Saudi Adolescents. J Phys Act Health. 2013;11:1202–11.PubMedCrossRef Al-Hazzaa HM, Alahmadi MA, Al-Sobayel HI, Abahussain NA, Qahwaji DM, Musaiger AO. Patterns and Determinants of Physical Activity Among Saudi Adolescents. J Phys Act Health. 2013;11:1202–11.PubMedCrossRef
80.
Zurück zum Zitat *Al-Hazzaa HM, Al-Nakeeb Y, Duncan MJ, Al-Sobayel HI, Abahussain NA, Musaiger AO, Lyons M, Collins P, Nevill A. A cross-cultural comparison of health behaviors between Saudi and British adolescents living in urban areas: gender by country analyses. Int J Environ Res Public Health. 2013;10(12):6701–20.PubMedPubMedCentralCrossRef *Al-Hazzaa HM, Al-Nakeeb Y, Duncan MJ, Al-Sobayel HI, Abahussain NA, Musaiger AO, Lyons M, Collins P, Nevill A. A cross-cultural comparison of health behaviors between Saudi and British adolescents living in urban areas: gender by country analyses. Int J Environ Res Public Health. 2013;10(12):6701–20.PubMedPubMedCentralCrossRef
81.
Zurück zum Zitat *Al-Hazzaa HM, Al-Sobayel HI, Abahussain NA, Qahwaji DM, Alahmadi MA, Musaiger AO. Association of dietary habits with levels of physical activity and screen time among adolescents living in Saudi Arabia. J Hum Nutr Diet. 2013;27:204–13.PubMedCrossRef *Al-Hazzaa HM, Al-Sobayel HI, Abahussain NA, Qahwaji DM, Alahmadi MA, Musaiger AO. Association of dietary habits with levels of physical activity and screen time among adolescents living in Saudi Arabia. J Hum Nutr Diet. 2013;27:204–13.PubMedCrossRef
82.
Zurück zum Zitat Kilani H, Al-Hazzaa H, Waly MI, Musaiger A. Lifestyle Habits: Diet, physical activity and sleep duration among Omani adolescents. Sultan Qaboos Univ Med J. 2013;13(4):510–9.PubMedPubMedCentralCrossRef Kilani H, Al-Hazzaa H, Waly MI, Musaiger A. Lifestyle Habits: Diet, physical activity and sleep duration among Omani adolescents. Sultan Qaboos Univ Med J. 2013;13(4):510–9.PubMedPubMedCentralCrossRef
83.
Zurück zum Zitat *Mahfouz AA, Abdelmoneim I, Khan MY, Daffalla AA, Diab MM, Al-Gelban KS, Moussa H. Obesity and related behaviors among adolescent school boys in Abha City. Southwestern Saudi Arabia J Trop Pediatr. 2008;54(2):120–4.PubMedCrossRef *Mahfouz AA, Abdelmoneim I, Khan MY, Daffalla AA, Diab MM, Al-Gelban KS, Moussa H. Obesity and related behaviors among adolescent school boys in Abha City. Southwestern Saudi Arabia J Trop Pediatr. 2008;54(2):120–4.PubMedCrossRef
84.
Zurück zum Zitat *Mahfouz AA, Shatoor AS, Khan MY, Daffalla AA, Mostafa OA, Hassanein MA. Nutrition, physical activity, and gender risks for adolescent obesity in Southwestern Saudi Arabia. Saudi J Gastroenterol. 2011;17(5):318–22.PubMedPubMedCentralCrossRef *Mahfouz AA, Shatoor AS, Khan MY, Daffalla AA, Mostafa OA, Hassanein MA. Nutrition, physical activity, and gender risks for adolescent obesity in Southwestern Saudi Arabia. Saudi J Gastroenterol. 2011;17(5):318–22.PubMedPubMedCentralCrossRef
85.
Zurück zum Zitat *Musaiger AO, Zagzoog N. Dietary and lifestyle habits among adolescent girls in Saudi Arabia: A comparison between private and government schools. Nutrition & Food Science. 2013;43(6):605–10.CrossRef *Musaiger AO, Zagzoog N. Dietary and lifestyle habits among adolescent girls in Saudi Arabia: A comparison between private and government schools. Nutrition & Food Science. 2013;43(6):605–10.CrossRef
86.
Zurück zum Zitat *Al-Hazzaa HM, Alahmadi MA, Al-Sobayel HI, Abahussain NA, Qahwaji DM, Musaiger AO. Patterns and determinants of physical activity among saudi adolescents. J Phys Act Health. 2014;11(6):1202–11.PubMedCrossRef *Al-Hazzaa HM, Alahmadi MA, Al-Sobayel HI, Abahussain NA, Qahwaji DM, Musaiger AO. Patterns and determinants of physical activity among saudi adolescents. J Phys Act Health. 2014;11(6):1202–11.PubMedCrossRef
87.
Zurück zum Zitat *Al-Sobayel H, Al-Hazzaa HM, Abahussain NA, Qahwaji DM, Musaiger AO. Gender differences in leisure-time versus non-leisure-time physical activity among Saudi adolescents. Ann Agric Environ Med. 2015;22(2):344–8.PubMed *Al-Sobayel H, Al-Hazzaa HM, Abahussain NA, Qahwaji DM, Musaiger AO. Gender differences in leisure-time versus non-leisure-time physical activity among Saudi adolescents. Ann Agric Environ Med. 2015;22(2):344–8.PubMed
88.
Zurück zum Zitat *Duncan MJ, Al-Hazzaa HM, Al-Nakeeb Y, Al-Sobayel HI, Abahussain NA, Musaiger AO, Lyons M, Collins P, Nevill A. Anthropometric and lifestyle characteristics of active and inactive Saudi and British adolescents. Am J Hum Biol. 2014;26(5):635–42.PubMedCrossRef *Duncan MJ, Al-Hazzaa HM, Al-Nakeeb Y, Al-Sobayel HI, Abahussain NA, Musaiger AO, Lyons M, Collins P, Nevill A. Anthropometric and lifestyle characteristics of active and inactive Saudi and British adolescents. Am J Hum Biol. 2014;26(5):635–42.PubMedCrossRef
89.
Zurück zum Zitat *Amin TT, Al Khoudair AS, Al Harbi MA, Al Ali AR. Leisure time physical activity in Saudi Arabia: prevalence, pattern and determining factors. Asian Pac J Cancer Prev. 2012;13(1):351–60.PubMedCrossRef *Amin TT, Al Khoudair AS, Al Harbi MA, Al Ali AR. Leisure time physical activity in Saudi Arabia: prevalence, pattern and determining factors. Asian Pac J Cancer Prev. 2012;13(1):351–60.PubMedCrossRef
90.
Zurück zum Zitat *Amin TT, Suleman W, Ali A, Gamal A, Al Wehedy A. Pattern, prevalence, and perceived personal barriers toward physical activity among adult Saudis in Al-Hassa. KSA J Phys Act Health. 2011;8(6):775–84.PubMedCrossRef *Amin TT, Suleman W, Ali A, Gamal A, Al Wehedy A. Pattern, prevalence, and perceived personal barriers toward physical activity among adult Saudis in Al-Hassa. KSA J Phys Act Health. 2011;8(6):775–84.PubMedCrossRef
91.
Zurück zum Zitat *Almajwal AM. Correlations of Physical Activity, Body Mass Index, Shift Duty, and Selected Eating Habits among Nurses in Riyadh. Saudi Arabia Ecol Food Nutr. 2015;54(4):397–417.PubMedCrossRef *Almajwal AM. Correlations of Physical Activity, Body Mass Index, Shift Duty, and Selected Eating Habits among Nurses in Riyadh. Saudi Arabia Ecol Food Nutr. 2015;54(4):397–417.PubMedCrossRef
92.
Zurück zum Zitat *Donnelly TT, Al Suwaidi J, Al Enazi NR, Idris Z, Albulushi AM, Yassin K, Rehman AM, Hassan AH. Qatari women living with cardiovascular diseases-challenges and opportunities to engage in healthy lifestyles. Health Care Women Int. 2012;33(12):1114–34.PubMedCrossRef *Donnelly TT, Al Suwaidi J, Al Enazi NR, Idris Z, Albulushi AM, Yassin K, Rehman AM, Hassan AH. Qatari women living with cardiovascular diseases-challenges and opportunities to engage in healthy lifestyles. Health Care Women Int. 2012;33(12):1114–34.PubMedCrossRef
93.
Zurück zum Zitat *Sulaiman N, Hamdan A, Al-Bedri DAM, Young D. Diabetes knowledge and attitudes towards prevention and health promotion: qualitative study in Sharjah, United Arab Emirates. IntJFood Safety, Nutrition and Public Health. 2009;2(1):78–88.CrossRef *Sulaiman N, Hamdan A, Al-Bedri DAM, Young D. Diabetes knowledge and attitudes towards prevention and health promotion: qualitative study in Sharjah, United Arab Emirates. IntJFood Safety, Nutrition and Public Health. 2009;2(1):78–88.CrossRef
94.
Zurück zum Zitat *Alsubaie AS, Omer EO. Physical Activity Behavior Predictors, Reasons and Barriers among Male Adolescents in Riyadh, Saudi Arabia: Evidence for Obesogenic Environment. Int J Health Sci (Qassim). 2015;9(4):400–8. *Alsubaie AS, Omer EO. Physical Activity Behavior Predictors, Reasons and Barriers among Male Adolescents in Riyadh, Saudi Arabia: Evidence for Obesogenic Environment. Int J Health Sci (Qassim). 2015;9(4):400–8.
95.
Zurück zum Zitat *Daradkeh G, Al Muhannadi A, Chandra P, Al Hajr M, Al Muhannadi H. Physical Activity Profile of Adolescence in the State of Qatar. International Journal of Nutrition and Growth. 2015;1(1):1–7.CrossRef *Daradkeh G, Al Muhannadi A, Chandra P, Al Hajr M, Al Muhannadi H. Physical Activity Profile of Adolescence in the State of Qatar. International Journal of Nutrition and Growth. 2015;1(1):1–7.CrossRef
96.
Zurück zum Zitat *Al-Eisa E, Al-Rushud A, Alghadir A, Anwer S, Al-Harbi B, Al-Sughaier N, Al-Yoseef N, Al-Otaibi R, Al-Muhaysin HA. Effect of Motivation by “Instagram” on Adherence to Physical Activity among Female College Students. Biomed Res Int. 2016;2016:1546013.PubMedPubMedCentral *Al-Eisa E, Al-Rushud A, Alghadir A, Anwer S, Al-Harbi B, Al-Sughaier N, Al-Yoseef N, Al-Otaibi R, Al-Muhaysin HA. Effect of Motivation by “Instagram” on Adherence to Physical Activity among Female College Students. Biomed Res Int. 2016;2016:1546013.PubMedPubMedCentral
97.
Zurück zum Zitat *Barss P, Grivna M, Al-Maskari F, Kershaw G. Strengthening public health medicine training for medical students: development and evaluation of a lifestyle curriculum. Med Teach. 2008;30(9–10):e196–218.PubMedCrossRef *Barss P, Grivna M, Al-Maskari F, Kershaw G. Strengthening public health medicine training for medical students: development and evaluation of a lifestyle curriculum. Med Teach. 2008;30(9–10):e196–218.PubMedCrossRef
98.
Zurück zum Zitat *Midhet FM, Sharaf FK. Impact of health education on lifestyles in central Saudi Arabia. Saudi Med J. 2011;32(1):71–6.PubMed *Midhet FM, Sharaf FK. Impact of health education on lifestyles in central Saudi Arabia. Saudi Med J. 2011;32(1):71–6.PubMed
99.
Zurück zum Zitat *Abduelkarem A, Sackville M. Changes of some Health Indicators in Patients with Type 2 Diabetes: A Prospective Study in three Community Pharmacies in Sharjah. United Arab Emirates Libyan J Med. 2009;4(1):31–6.PubMed *Abduelkarem A, Sackville M. Changes of some Health Indicators in Patients with Type 2 Diabetes: A Prospective Study in three Community Pharmacies in Sharjah. United Arab Emirates Libyan J Med. 2009;4(1):31–6.PubMed
100.
Zurück zum Zitat *Sharaf F. Impact of health education on compliance among patients of chronic diseases in Al Qassim, Saudi Arabia. Int J Health Sci (Qassim). 2011;4(2):139–48. *Sharaf F. Impact of health education on compliance among patients of chronic diseases in Al Qassim, Saudi Arabia. Int J Health Sci (Qassim). 2011;4(2):139–48.
101.
Zurück zum Zitat *Grant N, Gibbs T, Naseeb TA, Al-Garf A. Medical students as family-health advocates: Arabian Gulf University experience. Med Teach. 2007;29(5):e117–121.PubMedCrossRef *Grant N, Gibbs T, Naseeb TA, Al-Garf A. Medical students as family-health advocates: Arabian Gulf University experience. Med Teach. 2007;29(5):e117–121.PubMedCrossRef
102.
Zurück zum Zitat Physical Activity Guidelines Advisory Committee. Physical activity guidelines advisory committee report. Washington: US Department of Health and Human Services; 2008. Physical Activity Guidelines Advisory Committee. Physical activity guidelines advisory committee report. Washington: US Department of Health and Human Services; 2008.
103.
Zurück zum Zitat World Health Organization. Reducing Risks, Promoting Healthy Life. World Health Report 2002. Geneva: World Health Organization; 2002. World Health Organization. Reducing Risks, Promoting Healthy Life. World Health Report 2002. Geneva: World Health Organization; 2002.
104.
Zurück zum Zitat Guthold R, Cowan MJ, Autenrieth CS, Kann L, Riley LM. Physical activity and sedentary behavior among schoolchildren: a 34-country comparison. J Pediatr. 2010;157(1):43–9. e41.PubMedCrossRef Guthold R, Cowan MJ, Autenrieth CS, Kann L, Riley LM. Physical activity and sedentary behavior among schoolchildren: a 34-country comparison. J Pediatr. 2010;157(1):43–9. e41.PubMedCrossRef
105.
Zurück zum Zitat World Health Organization. Global Action Plan for the Prevention and Control of Noncommunicable Diseases, 2013–2020 [Resolution WHA66.10]. Geneva: World Health Organization; 2013. World Health Organization. Global Action Plan for the Prevention and Control of Noncommunicable Diseases, 2013–2020 [Resolution WHA66.10]. Geneva: World Health Organization; 2013.
106.
Zurück zum Zitat Bauman A, Bull F, Chey T, Craig CL, Ainsworth BE, Sallis JF, Bowles HR, Hagstromer M, Sjostrom M, Pratt M, et al. The International Prevalence Study on Physical Activity: results from 20 countries. Int J Behav Nutr Phys Act. 2009;6(1):21.PubMedPubMedCentralCrossRef Bauman A, Bull F, Chey T, Craig CL, Ainsworth BE, Sallis JF, Bowles HR, Hagstromer M, Sjostrom M, Pratt M, et al. The International Prevalence Study on Physical Activity: results from 20 countries. Int J Behav Nutr Phys Act. 2009;6(1):21.PubMedPubMedCentralCrossRef
107.
Zurück zum Zitat Trost SG, Owen N, Bauman AE, Sallis JF, Brown W. Correlates of adults’ participation in physical activity: review and update. Med Sci Sports Exerc. 2002;34(12):1996–2001.PubMedCrossRef Trost SG, Owen N, Bauman AE, Sallis JF, Brown W. Correlates of adults’ participation in physical activity: review and update. Med Sci Sports Exerc. 2002;34(12):1996–2001.PubMedCrossRef
108.
Zurück zum Zitat Sallis JF, Cervero RB, Ascher W, Henderson KA, Kraft MK, Kerr J. An ecological approach to creating active living communities. Annu Rev Public Health. 2006;27:297–322.PubMedCrossRef Sallis JF, Cervero RB, Ascher W, Henderson KA, Kraft MK, Kerr J. An ecological approach to creating active living communities. Annu Rev Public Health. 2006;27:297–322.PubMedCrossRef
109.
Zurück zum Zitat World Health Organization. Global Recommendations for Physical Activity for Health. Geneva: World Health Organization; 2010. World Health Organization. Global Recommendations for Physical Activity for Health. Geneva: World Health Organization; 2010.
110.
Zurück zum Zitat Bauman A, Phongsavan P, Schoeppe S, Owen N. Physical activity measurement--a primer for health promotion. Promot Educ. 2006;13(2):92–103.PubMedCrossRef Bauman A, Phongsavan P, Schoeppe S, Owen N. Physical activity measurement--a primer for health promotion. Promot Educ. 2006;13(2):92–103.PubMedCrossRef
111.
Zurück zum Zitat Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247–57.PubMedCrossRef Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247–57.PubMedCrossRef
112.
Zurück zum Zitat Freedson P, Bowles HR, Troiano R, Haskell W. Assessment of physical activity using wearable monitors: recommendations for monitor calibration and use in the field. Med Sci Sports Exerc. 2012;44(1):S1–4.PubMedPubMedCentralCrossRef Freedson P, Bowles HR, Troiano R, Haskell W. Assessment of physical activity using wearable monitors: recommendations for monitor calibration and use in the field. Med Sci Sports Exerc. 2012;44(1):S1–4.PubMedPubMedCentralCrossRef
113.
Zurück zum Zitat Cain KL, Sallis JF, Conway TL, Van Dyck D, Calhoon L. Using accelerometers in youth physical activity studies: a review of methods. J Phys Act Health. 2013;10(3):437–50.PubMedCrossRef Cain KL, Sallis JF, Conway TL, Van Dyck D, Calhoon L. Using accelerometers in youth physical activity studies: a review of methods. J Phys Act Health. 2013;10(3):437–50.PubMedCrossRef
114.
Zurück zum Zitat Bull F. Global advocacy for physical activity-Development and progress of the Toronto Charter for Physical Activity: A global call for action. Res Exerc Epidemiol. 2011;13(1):1–10. Bull F. Global advocacy for physical activity-Development and progress of the Toronto Charter for Physical Activity: A global call for action. Res Exerc Epidemiol. 2011;13(1):1–10.
115.
Zurück zum Zitat World Health Organization (Regional Office of the Eastern Mediterranean Region). Promoting physical activity in the Eastern Mediterranean Region through a life-course approach. 2014. World Health Organization (Regional Office of the Eastern Mediterranean Region). Promoting physical activity in the Eastern Mediterranean Region through a life-course approach. 2014.
118.
Zurück zum Zitat *Al-Rafaee SA, Al-Hazzaa HM. Physical activity profile of adult males in Riyadh City. Saudi Med J. 2001;22(9):784–9.PubMed *Al-Rafaee SA, Al-Hazzaa HM. Physical activity profile of adult males in Riyadh City. Saudi Med J. 2001;22(9):784–9.PubMed
119.
Zurück zum Zitat *Ali HI, Bernsen RM, Baynouna LM. Barriers to weight management among Emirati women: a qualitative investigation of health professionals’ perspectives. Int Q Community Health Educ. 2008;29(2):143–59.PubMedCrossRef *Ali HI, Bernsen RM, Baynouna LM. Barriers to weight management among Emirati women: a qualitative investigation of health professionals’ perspectives. Int Q Community Health Educ. 2008;29(2):143–59.PubMedCrossRef
120.
Zurück zum Zitat *Berger G, Peerson A. Giving young Emirati women a voice: participatory action research on physical activity. Health Place. 2009;15(1):117–24.PubMedCrossRef *Berger G, Peerson A. Giving young Emirati women a voice: participatory action research on physical activity. Health Place. 2009;15(1):117–24.PubMedCrossRef
121.
Zurück zum Zitat *Hashim R, Al-Ali K. Health of dentists in United Arab Emirates. Int Dent J. 2013;63(1):26–9.PubMedCrossRef *Hashim R, Al-Ali K. Health of dentists in United Arab Emirates. Int Dent J. 2013;63(1):26–9.PubMedCrossRef
122.
Zurück zum Zitat *Musaiger AO, Al-Kandari FI, Al-Mannai M, Al-Faraj AM, Bouriki FA, Shehab FS, Al-Dabous LA, Al-Qalaf WB. Perceived barriers to weight maintenance among university students in Kuwait: the role of gender and obesity. Environ Health Prev Med. 2014;19:207–14.PubMedPubMedCentralCrossRef *Musaiger AO, Al-Kandari FI, Al-Mannai M, Al-Faraj AM, Bouriki FA, Shehab FS, Al-Dabous LA, Al-Qalaf WB. Perceived barriers to weight maintenance among university students in Kuwait: the role of gender and obesity. Environ Health Prev Med. 2014;19:207–14.PubMedPubMedCentralCrossRef
123.
Zurück zum Zitat *Serour M, Alqhenaei H, Al-Saqabi S, Mustafa AR, Ben-Nakhi A. Cultural factors and patients’ adherence to lifestyle measures. Br J Gen Pract. 2007;57(537):291–5.PubMedPubMedCentral *Serour M, Alqhenaei H, Al-Saqabi S, Mustafa AR, Ben-Nakhi A. Cultural factors and patients’ adherence to lifestyle measures. Br J Gen Pract. 2007;57(537):291–5.PubMedPubMedCentral
124.
Zurück zum Zitat Leavy JE, Bull FC, Rosenberg M, Bauman A. Physical activity mass media campaigns and their evaluation: a systematic review of the literature 2003–2010. Health Educ Res. 2011;26(6):1060–85.PubMedCrossRef Leavy JE, Bull FC, Rosenberg M, Bauman A. Physical activity mass media campaigns and their evaluation: a systematic review of the literature 2003–2010. Health Educ Res. 2011;26(6):1060–85.PubMedCrossRef
125.
Zurück zum Zitat Al-Khouri AM. Population growth and government modernisation efforts. International Journal of Research in Management and Technology. 2012;2(1):1–8. Al-Khouri AM. Population growth and government modernisation efforts. International Journal of Research in Management and Technology. 2012;2(1):1–8.
126.
Zurück zum Zitat World Health Organization (Regional Office of the Eastern Mediterranean Region). Demographic, social and health indicators for countries of the Eastern Mediterranean Region. Cairo: World Health Organization (Regional Office of the Eastern Mediterranean Region); 2013. World Health Organization (Regional Office of the Eastern Mediterranean Region). Demographic, social and health indicators for countries of the Eastern Mediterranean Region. Cairo: World Health Organization (Regional Office of the Eastern Mediterranean Region); 2013.
127.
Zurück zum Zitat *Al-Doghether M, Al-Tuwijri A, Khan A. Obstacles to preventive intervention. Do physicians’ health habits and mind-set towards preventive care play any role? Saudi Med J. 2007;28(8):1269–74.PubMed *Al-Doghether M, Al-Tuwijri A, Khan A. Obstacles to preventive intervention. Do physicians’ health habits and mind-set towards preventive care play any role? Saudi Med J. 2007;28(8):1269–74.PubMed
128.
Zurück zum Zitat *Al-Ghawi A, Uauy R. Study of the knowledge, attitudes and practices of physicians towards obesity management in primary health care in Bahrain. Public Health Nutr. 2009;12(10):1791–8.PubMedCrossRef *Al-Ghawi A, Uauy R. Study of the knowledge, attitudes and practices of physicians towards obesity management in primary health care in Bahrain. Public Health Nutr. 2009;12(10):1791–8.PubMedCrossRef
129.
Zurück zum Zitat Mabry R, Owen N, Eakin E. A National Strategy for Promoting Physical Activity in Oman: A call for action. Sultan Qaboos Univ Med J. 2014;14(2):e170–175.PubMedPubMedCentral Mabry R, Owen N, Eakin E. A National Strategy for Promoting Physical Activity in Oman: A call for action. Sultan Qaboos Univ Med J. 2014;14(2):e170–175.PubMedPubMedCentral
130.
Zurück zum Zitat Cobiac LJ, Vos T, Barendregt JJ. Cost-effectiveness of interventions to promote physical activity: a modelling study. PLoS Med. 2009;6(7), e1000110.PubMedPubMedCentralCrossRef Cobiac LJ, Vos T, Barendregt JJ. Cost-effectiveness of interventions to promote physical activity: a modelling study. PLoS Med. 2009;6(7), e1000110.PubMedPubMedCentralCrossRef
131.
Zurück zum Zitat Trowbridge MJ, Schmid TL. Built environment and physical activity promotion: place-based obesity prevention strategies. J Law Med Ethics. 2013;41(2):46–51.PubMedCrossRef Trowbridge MJ, Schmid TL. Built environment and physical activity promotion: place-based obesity prevention strategies. J Law Med Ethics. 2013;41(2):46–51.PubMedCrossRef
132.
Zurück zum Zitat Sallis JF, Floyd MF, Rodriguez DA, Saelens BE. Role of built environments in physical activity, obesity, and cardiovascular disease. Circulation. 2012;125(5):729–37.PubMedPubMedCentralCrossRef Sallis JF, Floyd MF, Rodriguez DA, Saelens BE. Role of built environments in physical activity, obesity, and cardiovascular disease. Circulation. 2012;125(5):729–37.PubMedPubMedCentralCrossRef
133.
Zurück zum Zitat Durand CP, Andalib M, Dunton GF, Wolch J, Pentz MA. A systematic review of built environment factors related to physical activity and obesity risk: implications for smart growth urban planning. Obes Rev. 2011;12(5):e173–182.PubMedPubMedCentralCrossRef Durand CP, Andalib M, Dunton GF, Wolch J, Pentz MA. A systematic review of built environment factors related to physical activity and obesity risk: implications for smart growth urban planning. Obes Rev. 2011;12(5):e173–182.PubMedPubMedCentralCrossRef
134.
Zurück zum Zitat Differences in prevalence of obesity among black, white, and Hispanic adults-United States, 2006–2008. MMWR Morb Mortal Wkly Rep. 2009;58(27):740–4. Differences in prevalence of obesity among black, white, and Hispanic adults-United States, 2006–2008. MMWR Morb Mortal Wkly Rep. 2009;58(27):740–4.
135.
Zurück zum Zitat Koohsari MJ, Sugiyama T, Lamb KE, Villanueva K, Owen N. Street connectivity and walking for transport: role of neighborhood destinations. Prev Med. 2014;66:118–22.PubMedCrossRef Koohsari MJ, Sugiyama T, Lamb KE, Villanueva K, Owen N. Street connectivity and walking for transport: role of neighborhood destinations. Prev Med. 2014;66:118–22.PubMedCrossRef
136.
Zurück zum Zitat UN-Habitat. The State of Arab Cities, 2012, Challenges of Urban Transition. Secondth ed. Nairobi: UN-Habitat; 2012. UN-Habitat. The State of Arab Cities, 2012, Challenges of Urban Transition. Secondth ed. Nairobi: UN-Habitat; 2012.
137.
Zurück zum Zitat Mohammad R, Sidaway J. Spectacular urbanization amidst variegated geographies of globalization: learning from Abu Dhabi’s Trajectory through the lives of South Asian Men. International Journal of Urban and Regional Research. 2012;363:606–27.CrossRef Mohammad R, Sidaway J. Spectacular urbanization amidst variegated geographies of globalization: learning from Abu Dhabi’s Trajectory through the lives of South Asian Men. International Journal of Urban and Regional Research. 2012;363:606–27.CrossRef
138.
Zurück zum Zitat Mohareb NI. Land use as a sustainability indicator for Arab cities. Urban Design and Planning. 2009;163:105–66.CrossRef Mohareb NI. Land use as a sustainability indicator for Arab cities. Urban Design and Planning. 2009;163:105–66.CrossRef
139.
Zurück zum Zitat Musaiger AO, Al-Mannai M, Tayyem R, Al-Lalla O, Ali EY, Kalam F, Benhamed MM, Saghir S, Halahleh I, Djoudi Z, et al. Perceived barriers to healthy eating and physical activity among adolescents in seven Arab countries: a cross-cultural study. ScientificWorldJournal. 2013;2013:232164.PubMedPubMedCentralCrossRef Musaiger AO, Al-Mannai M, Tayyem R, Al-Lalla O, Ali EY, Kalam F, Benhamed MM, Saghir S, Halahleh I, Djoudi Z, et al. Perceived barriers to healthy eating and physical activity among adolescents in seven Arab countries: a cross-cultural study. ScientificWorldJournal. 2013;2013:232164.PubMedPubMedCentralCrossRef
140.
Zurück zum Zitat Chan CB, Ryan DA, Tudor-Locke C. Relationship between objective measures of physical activity and weather: a longitudinal study. Int J Behav Nutr Phys Act. 2006;3:21.PubMedPubMedCentralCrossRef Chan CB, Ryan DA, Tudor-Locke C. Relationship between objective measures of physical activity and weather: a longitudinal study. Int J Behav Nutr Phys Act. 2006;3:21.PubMedPubMedCentralCrossRef
141.
Zurück zum Zitat Carson V, Spence JC. Seasonal variation in physical activity among children and adolescents: a review. Pediatr Exerc Sci. 2010;22(1):81–92.PubMedCrossRef Carson V, Spence JC. Seasonal variation in physical activity among children and adolescents: a review. Pediatr Exerc Sci. 2010;22(1):81–92.PubMedCrossRef
142.
Zurück zum Zitat Tucker P, Gilliland J. The effect of season and weather on physical activity: a systematic review. Public Health. 2007;121(12):909–22.PubMedCrossRef Tucker P, Gilliland J. The effect of season and weather on physical activity: a systematic review. Public Health. 2007;121(12):909–22.PubMedCrossRef
143.
Zurück zum Zitat Prakash PJ, Stenchikov G, Kalenderski S, Oslpov S, Bangalath H. The impact of dust storms on the Arabian Peninsula and the Red Sea. Atmospheric, Chemistry, Physics Discussions. 2014;14:19181–245.CrossRef Prakash PJ, Stenchikov G, Kalenderski S, Oslpov S, Bangalath H. The impact of dust storms on the Arabian Peninsula and the Red Sea. Atmospheric, Chemistry, Physics Discussions. 2014;14:19181–245.CrossRef
144.
Zurück zum Zitat Cerin E, Conway TL, Cain KL, Kerr J, De Bourdeaudhuij I, Owen N, Reis RS, Sarmiento OL, Hinckson EA, Salvo D, et al. Sharing good NEWS across the world: developing comparable scores across 12 countries for the Neighborhood Environment Walkability Scale (NEWS). BMC Public Health. 2013;13:309.PubMedPubMedCentralCrossRef Cerin E, Conway TL, Cain KL, Kerr J, De Bourdeaudhuij I, Owen N, Reis RS, Sarmiento OL, Hinckson EA, Salvo D, et al. Sharing good NEWS across the world: developing comparable scores across 12 countries for the Neighborhood Environment Walkability Scale (NEWS). BMC Public Health. 2013;13:309.PubMedPubMedCentralCrossRef
145.
Zurück zum Zitat Sugiyama T, Cerin E, Owen N, Oyeyemi AL, Conway TL, Van Dyck D, Schipperijn J, Macfarlane DJ, Salvo D, Reis RS, et al. Perceived neighbourhood environmental attributes associated with adults recreational walking: IPEN Adult study in 12 countries. Health Place. 2013;28:22–30.CrossRef Sugiyama T, Cerin E, Owen N, Oyeyemi AL, Conway TL, Van Dyck D, Schipperijn J, Macfarlane DJ, Salvo D, Reis RS, et al. Perceived neighbourhood environmental attributes associated with adults recreational walking: IPEN Adult study in 12 countries. Health Place. 2013;28:22–30.CrossRef
146.
Zurück zum Zitat Mabry RM, Reeves MM, Eakin EG, Owen N. Evidence of physical activity participation among men and women in the countries of the Gulf Cooperation Council: a review. Obes Rev. 2010;11:457–64.PubMedCrossRef Mabry RM, Reeves MM, Eakin EG, Owen N. Evidence of physical activity participation among men and women in the countries of the Gulf Cooperation Council: a review. Obes Rev. 2010;11:457–64.PubMedCrossRef
147.
Zurück zum Zitat Giles-Corti B, Sallis JF, Sugiyama T, Frank LD, Lowe M, Owen N. Translating active living research into policy and practice: One important pathway to chronic disease prevention. J Public Health Policy. 2015;36(2):231–43.PubMedCrossRef Giles-Corti B, Sallis JF, Sugiyama T, Frank LD, Lowe M, Owen N. Translating active living research into policy and practice: One important pathway to chronic disease prevention. J Public Health Policy. 2015;36(2):231–43.PubMedCrossRef
148.
Zurück zum Zitat *Al-Eisa E, Alghadir AH, Gabr SA, Iqbal ZA. Exercise intervention as a protective modulator against metabolic disorders in cigarette smokers. J Phys Ther Sci. 2016;28(3):983–91.PubMedPubMedCentralCrossRef *Al-Eisa E, Alghadir AH, Gabr SA, Iqbal ZA. Exercise intervention as a protective modulator against metabolic disorders in cigarette smokers. J Phys Ther Sci. 2016;28(3):983–91.PubMedPubMedCentralCrossRef
149.
Zurück zum Zitat *Alghadir AH, Gabr SA, Aly FA. The effects of 4 weeks aerobic training on saliva cortisol and testosterone in young healthy persons. J Phys Ther Sci. 2015;27(7):2029–33.PubMedPubMedCentralCrossRef *Alghadir AH, Gabr SA, Aly FA. The effects of 4 weeks aerobic training on saliva cortisol and testosterone in young healthy persons. J Phys Ther Sci. 2015;27(7):2029–33.PubMedPubMedCentralCrossRef
150.
Zurück zum Zitat *Al-Daghri NM, Alokail MS, Rahman S, Amer OE, Al-Attas OS, Alfawaz H, Tripathi G, Sabico S, Chrousos GP, McTernan PG, et al. Habitual physical activity is associated with circulating irisin in healthy controls but not in subjects with diabetes mellitus type 2. Eur J Clin Invest. 2015;45(8):775–81.PubMedCrossRef *Al-Daghri NM, Alokail MS, Rahman S, Amer OE, Al-Attas OS, Alfawaz H, Tripathi G, Sabico S, Chrousos GP, McTernan PG, et al. Habitual physical activity is associated with circulating irisin in healthy controls but not in subjects with diabetes mellitus type 2. Eur J Clin Invest. 2015;45(8):775–81.PubMedCrossRef
151.
Zurück zum Zitat *Al-Thani MH, Al-Thani AA, Al-Chetachi WF, Khalifa SAH, Akram H, Poovelil BV, Almalki BA, Bakri AH, Arora P, Badawi A. Dietary and Nutritional Factors Influencing Obesity in Qatari Adults and the Modifying Effect of Physical Activity. J Obes Weight-Loss Medic. 2015;1:007. *Al-Thani MH, Al-Thani AA, Al-Chetachi WF, Khalifa SAH, Akram H, Poovelil BV, Almalki BA, Bakri AH, Arora P, Badawi A. Dietary and Nutritional Factors Influencing Obesity in Qatari Adults and the Modifying Effect of Physical Activity. J Obes Weight-Loss Medic. 2015;1:007.
152.
Zurück zum Zitat *El-Ghazali S, Ibrahim JM, Kanari BM, Ismail NA. The relationship between lifestyle and body mass index among university students in Kuwait. Egyptian Journal of Community Medicine. 2010;28:1. *El-Ghazali S, Ibrahim JM, Kanari BM, Ismail NA. The relationship between lifestyle and body mass index among university students in Kuwait. Egyptian Journal of Community Medicine. 2010;28:1.
153.
Zurück zum Zitat *Hegazy AM, Salama BM, Elgaml AM, Alzyat AR. Association of low back pain with vitamin D deficiency and other common risk factors: A hospital based case–control study. European Journal of Preventive Medicine. 2015;3:1–5.CrossRef *Hegazy AM, Salama BM, Elgaml AM, Alzyat AR. Association of low back pain with vitamin D deficiency and other common risk factors: A hospital based case–control study. European Journal of Preventive Medicine. 2015;3:1–5.CrossRef
154.
Zurück zum Zitat *Memish ZA, El Bcheraoui C, Tuffaha M, Robinson M, Daoud F, Jaber S, Mikhitarian S, Al Saeedi M, AlMazroa MA, Mokdad AH, et al. Obesity and associated factors--Kingdom of Saudi Arabia, 2013. Prev Chronic Dis. 2014;11:E174.PubMedPubMedCentral *Memish ZA, El Bcheraoui C, Tuffaha M, Robinson M, Daoud F, Jaber S, Mikhitarian S, Al Saeedi M, AlMazroa MA, Mokdad AH, et al. Obesity and associated factors--Kingdom of Saudi Arabia, 2013. Prev Chronic Dis. 2014;11:E174.PubMedPubMedCentral
155.
Zurück zum Zitat *Al Saweer A, Salehi S, Al Tiho M, Al Saffar B, Al Amer M. Interventional Program for Teenagers’ Obesity. Bahrain Medical Bulletin. 2015;37(2):109.CrossRef *Al Saweer A, Salehi S, Al Tiho M, Al Saffar B, Al Amer M. Interventional Program for Teenagers’ Obesity. Bahrain Medical Bulletin. 2015;37(2):109.CrossRef
156.
Zurück zum Zitat *Al-Haifi AA, AlMajed HT, Al-Hazzaa HM, Musaiger AO, Arab MA, Hasan RA. Relative Contribution of Obesity, Sedentary Behaviors and Dietary Habits to Sleep Duration Among Kuwaiti Adolescents. Glob J Health Sci. 2016;8(1):107–17.CrossRef *Al-Haifi AA, AlMajed HT, Al-Hazzaa HM, Musaiger AO, Arab MA, Hasan RA. Relative Contribution of Obesity, Sedentary Behaviors and Dietary Habits to Sleep Duration Among Kuwaiti Adolescents. Glob J Health Sci. 2016;8(1):107–17.CrossRef
157.
Zurück zum Zitat *Al-Hazzaa HM, Musaiger AO, Abahussain NA, Al-Sobayel HI, Qahwaji DM. Lifestyle correlates of self-reported sleep duration among Saudi adolescents: a multicentre school-based cross-sectional study. Child Care Health Dev. 2013;40:533–42.PubMedCrossRef *Al-Hazzaa HM, Musaiger AO, Abahussain NA, Al-Sobayel HI, Qahwaji DM. Lifestyle correlates of self-reported sleep duration among Saudi adolescents: a multicentre school-based cross-sectional study. Child Care Health Dev. 2013;40:533–42.PubMedCrossRef
158.
Zurück zum Zitat *Allam AR, Taha IM, Al-Nozha OM, Sultan IE. Nutritional and health status of medical students at a university in Northwestern Saudi Arabia. Saudi Med J. 2012;33(12):1296–303.PubMed *Allam AR, Taha IM, Al-Nozha OM, Sultan IE. Nutritional and health status of medical students at a university in Northwestern Saudi Arabia. Saudi Med J. 2012;33(12):1296–303.PubMed
159.
Zurück zum Zitat *Banday AH, Want FA, Alris FF, Alrayes MF, Alenzi MJ. A Cross-sectional Study on the Prevalence of Physical Activity Among Primary Health Care Physicians in Aljouf Region of Saudi Arabia. Mater Sociomed. 2015;27(4):263–6.PubMedPubMedCentralCrossRef *Banday AH, Want FA, Alris FF, Alrayes MF, Alenzi MJ. A Cross-sectional Study on the Prevalence of Physical Activity Among Primary Health Care Physicians in Aljouf Region of Saudi Arabia. Mater Sociomed. 2015;27(4):263–6.PubMedPubMedCentralCrossRef
160.
Zurück zum Zitat *Carter AO, Elzubeir M, Abdulrazzaq YM, Revel AD, Townsend A. Health and lifestyle needs assessment of medical students in the United Arab Emirates. Med Teach. 2003;25(5):492–6.PubMedCrossRef *Carter AO, Elzubeir M, Abdulrazzaq YM, Revel AD, Townsend A. Health and lifestyle needs assessment of medical students in the United Arab Emirates. Med Teach. 2003;25(5):492–6.PubMedCrossRef
161.
Zurück zum Zitat *Khalaf A, Ekblom O, Kowalski J, Berggren V, Westergren A, Al-Hazzaa H. Female university students’ physical activity levels and associated factors--a cross-sectional study in southwestern Saudi Arabia. Int J Environ Res Public Health. 2013;10(8):3502–17.PubMedPubMedCentralCrossRef *Khalaf A, Ekblom O, Kowalski J, Berggren V, Westergren A, Al-Hazzaa H. Female university students’ physical activity levels and associated factors--a cross-sectional study in southwestern Saudi Arabia. Int J Environ Res Public Health. 2013;10(8):3502–17.PubMedPubMedCentralCrossRef
162.
Zurück zum Zitat *Koura MR, Al-Dabal BK, Rasheed P, Al-Sowielem LS, Makki SM, Koura MR, Al-Dabal BK, Rasheed P, Al-Sowielem LS, Makki SM. Prehypertension among young adult females in Dammam, Saudi Arabia. East Mediterr Health J. 2013;19(10):899–900. *Koura MR, Al-Dabal BK, Rasheed P, Al-Sowielem LS, Makki SM, Koura MR, Al-Dabal BK, Rasheed P, Al-Sowielem LS, Makki SM. Prehypertension among young adult females in Dammam, Saudi Arabia. East Mediterr Health J. 2013;19(10):899–900.
163.
Zurück zum Zitat *Farghaly NF, Ghazali BM, Al-Wabel HM, Sadek AA, Abbag FI. Life style and nutrition and their impact on health of Saudi school students in Abha, Southwestern region of Saudi Arabia. Saudi Med J. 2007;28(3):415–21.PubMed *Farghaly NF, Ghazali BM, Al-Wabel HM, Sadek AA, Abbag FI. Life style and nutrition and their impact on health of Saudi school students in Abha, Southwestern region of Saudi Arabia. Saudi Med J. 2007;28(3):415–21.PubMed
164.
Zurück zum Zitat *Gharib NM, Rasheed P. Obesity Among Bahraini Children and Adolescents: Prevalence And Associated Factors. Journal of the Bahrain Medical Society. 2008;20:3. *Gharib NM, Rasheed P. Obesity Among Bahraini Children and Adolescents: Prevalence And Associated Factors. Journal of the Bahrain Medical Society. 2008;20:3.
165.
Zurück zum Zitat *AboZaid HA, Farahat FM. Physical activity profile among patients attending family medicine clinics in western Saudi Arabia. Saudi Med J. 2010;31(4):428–33.PubMed *AboZaid HA, Farahat FM. Physical activity profile among patients attending family medicine clinics in western Saudi Arabia. Saudi Med J. 2010;31(4):428–33.PubMed
166.
Zurück zum Zitat *Taha AZ. Self-reported knowledge and pattern of physical activity among school students in Al Khobar, Saudi Arabia. East Mediterr Health J. 2008;14(2):344–55.PubMed *Taha AZ. Self-reported knowledge and pattern of physical activity among school students in Al Khobar, Saudi Arabia. East Mediterr Health J. 2008;14(2):344–55.PubMed
167.
Zurück zum Zitat *Faris MA, Epuru S, Al-Shimmari S, Al-Shimmari E. Alarming High Levels of Energy Drinks Consumption among School Children in Hail, Northern of Saudi Arabia. International Journal of Child Health and Nutrition. 2015;4:1–13. *Faris MA, Epuru S, Al-Shimmari S, Al-Shimmari E. Alarming High Levels of Energy Drinks Consumption among School Children in Hail, Northern of Saudi Arabia. International Journal of Child Health and Nutrition. 2015;4:1–13.
Metadaten
Titel
A systematic review of physical activity and sedentary behaviour research in the oil-producing countries of the Arabian Peninsula
verfasst von
Ruth Mabry
Mohammad Javad Koohsari
Fiona Bull
Neville Owen
Publikationsdatum
01.12.2016
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2016
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-016-3642-4

Weitere Artikel der Ausgabe 1/2016

BMC Public Health 1/2016 Zur Ausgabe