Skip to main content
Erschienen in: BMC Public Health 1/2021

Open Access 01.12.2021 | Research article

The association between frequency of eating out with overweight and obesity among children aged 6–17 in China: a National Cross-sectional Study

verfasst von: Yanning Ma, Weiyan Gong, Caicui Ding, Chao Song, Fan Yuan, Jing Fan, Ganyu Feng, Zheng Chen, Ailing Liu

Erschienen in: BMC Public Health | Ausgabe 1/2021

Abstract

Background

In parallel with the increased prevalence of childhood overweight and obesity, the proportion of eating out in China has increased dramatically in recent years. The purpose of the study was to explore the association between frequency of eating out with overweight and obesity among Chinese children.

Methods

The representative sample was recruited from Chinese National Nutrition and Health Survey (CNNHS) in 2010–2012, which included Chinese children aged 6–17 years (7685 boys and 7576 girls). Frequency of eating out was collected by interview-administered questionnaire and categorized as: 0, 1–2 and ≥ 3 times per week. Height and weight were measured, consequently body mass index was calculated.

Results

The prevalence of eating out among Chinese children aged 6–17 years old was 23.2%. Children who ate out 0, 1–2, ≥3 times per week were accounted for 76.8, 10.9 and 12.3% respectively. Findings revealed that eating out three times per week or more was statistically significant associated with higher prevalence of overweight and obesity among boys (OR = 1.20,95CI:1.04–1.38) compared with those ate out less than three times per week. However, no significantly association was observed among girls (OR = 0.91, 95CI:0.78–1.01). In additional, Younger children, rural children, children from low income family, those with leisure exercises (certain physical activities regularly carried out such as swimming, walking, running, equipment fitness), leisure time sedentary behaviors (LTSB)(> 2 h/d) were relatively more likely to eat out.

Conclusions

The results illustrated that eating out three times or more had a significantly positive effect on overweight and obesity among boys in China.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12889-021-11104-0.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CNNHS
Chinese national nutrition and health survey
WHO
World health organization
NINH, China CDC
National institute for nutritionand health, chinese center for disease control and prevention
95% CIs
Confidence intervals
ECHO
Etiology of childhood obesity
NDNS
UK national diet and nutrition survey
LTSB
Leisure time sedentary behaviors

Background

The worldwide prevalence of overweight and obesity among children has becoming a global health problem [1, 2]. The prevalence of overweight and obesity among children has increased by 47.1% globally between 1980 and 2013 [3]. Increases were observed in both developed countries and developing societies [4]. The number of childhood overweight and obesity also increased dramatically over the past decades in China [5]. A recently report among Chinese students aged 7–18 years old showed that the nationwide prevalence of overweight and obesity increased from 2.1to 12.2%, 0.5to 7.3%from 1985 to 2014, respectively, and this proportion was expected to reach 28% or affected 3496 million children by 2030 [6]. The previous studies suggested that overweight and obesity children had an risk of adult obesity [7], which will result to an increased morbidity and mortality [8, 9]. Childhood overweight and obesity correlate with high blood pressure, heart disease and other chronic disease [10]. Childhood overweight and obesity is attributed to complex interaction of genetic, environmental and other behavior factors [11, 12].
In parallel with rapid economic development, the dietary structure and eating behaviors have undergone great changes [13, 14], eating out has become a continuously growing part of the Chinese dietary pattern. According to the statistics released by China‘s National Bureau of Statistics,carting revenue increased from 74.03 billion RMB in 2002 to 441.99 billion RMB in 2012, which raised almost 5 times [15]. In terms of eating out associate with higher intake of total energy, total fat, sodium, and sugar and lower intakes of fiber, vitamins, and minerals [16, 17],the available data have suggested that eating at restaurant may increase the consumption of meat, sweet while reducing the intake of grains, vegetables and fruits [13]. Furthermore, a large numbers of literature have indicated that eating out was associated with higher intake of energy [13, 1618], the increasing energy intake from restaurant drove overall increase in daily energy [19]. thus it may contribute to energy unbalanced that cause weight gain [16]. As number of eating out occasion continues to increase, more attention are paid to the relationship between eating out with overweight and obesity.
Aristides [20] et al. demonstrated that children who ate at restaurant had a 21% higher risk of being overweight than those who did not eat at restaurant. Many abroad studies were conducted by nationally representative or large cohort data from west countries. A research [21] of 3–12 years children in 9 areas of China found the positive relationship between eating out and risk of overweight and obesity or BMI, mainly due to the substantial contribute of eating out to increase the energy intake [22]. A study [23] of Guangzhou middle school students reported that those consuming restaurant food once a week or more was associated with a 38% higher prevalence, compared with those who never ate at restaurant after adjusting for age, single child family structure, household income, and culture of students’ parents. However, available data on the association between eating out and overweight and obesity among Chinese children are far from conclusive. Besides the data of previous published was not representative of the national children population. The objective of the current study was to examine the association between frequency of eating out with overweight and obesity in a nationally representative sample of children using the data of Chinese Nutrition and Health Surveillance (CNNHS) in 2010–2012, then to provide basic information to aid in developing eating out intervention strategies.

Method

Study participants

Data used in this study were from the Chinese Nutrition and Health Surveillance (CNNHS) from 2010 to 2012. The nationally representative cross-sectional study was implemented by the National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention (NINH, China CDC) to assess the the nutritional status of Chinese residents. The survey covered 31 provinces, autonomous regions and municipalities (except Taiwan, Hong Kong and Macao) from 2010 to 2012. The method of multi-stage stratification and population proportional cluster random sampling was adopted. In accordance with economic development, all county-level administrative units were divided into four categories: big cities, small and medium-sized cities, ordinary rural areas and poor rural areas. A total of 150 counties (districts) were selected from four categories of areas as study sites, including 34 big cities, 41small and medium-sized cities, 45 ordinary rural areas and 30 poor rural areas, respectively. The study selected 25 households randomly from each village/community and children aged 6 to 17 years in each family were involved. If the number of children in each age group in each location is less than 20 (10 boys and 10 girls), supplementary children would be selected from nearby primary and secondary schools to reach the minimum sample size. The specific sampling method can be referred in the published literature [24]. After eliminated missing and abnormal data in height, weight, frequency of eating out and sedentary time, a total of 15,261 participants (7685 boys, 7576 girls) aged 6 to 17 years were recruited.
The informed consent was approved by the ethics review committee of the National Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention (No. 2013–018). All participants’ parents or legal guardian were fully informed the purpose and signed the informed consent.

Data collection

The interview-administered questionnaire was used to collect the information of basic socio-economics, sedentary duration and leisure exercise. The food frequency questionnaire (FFQ) was used to collect eating behaviors over the past week. The details of food frequency questionnaire were attached in additional file 1. Respondents were asked “How many times have you had breakfast, lunch, or dinner in the past week (seven days)?” and “How many times in the past week have you had breakfast, lunch, or dinner at a restaurant or school canteen?”. All the questionnaires were collected by trained investigator by face-to-face interview, and the interviews were conducted at the homes of the participants. The children younger than 12 years old finished the questionnaire with the help of their parents or legal guardian. To ensure the reliability of data, quality control measures and evaluation indexes were made at the national, provincial and district levels, quality control was carried out in the period of field survey.

Categories of frequency of eating out

In the current study, eating out was defined as eating a meal or more prepared by restaurants. Frequency of eating out was categorized as three levels: 0 time, 1–2 times, or 3 times and over per week.

Anthropometric measurements

The height was measured with an accuracy of 0.1 cm and the fasting weight was measured with an accuracy of 0.1 kg. All measurements were conducted by well-trained investigators under standard operation procedure. Body mass index (BMI) was calculated as a division of weight in kilograms by the square of height in meters.

Definition of weight status

Overweight and obesity was classified based on age- and gender-specific BMI cutoff points among Chinese children [25]. In the meantime, national health standard of Screening standard for malnutrition of school-age children and adolescents was devoted to screen for underweight children [26].

Assessment of sociodemographic determinants

Age groups were divided into two categories (6–12, 13–17 years). Participants were divided into four residency groups according to location (urban, suburban, rural and poor rural). Family income was classified into four levels (< 20,000 RMB/person, 20,000–40,000 RMB/person, > 40,000 RMB/person, and unkown). Leisure exercise was defined as two levels (No/Yes). Sedentary duration status was grouped into two levels (≤2 h/d and > 2 h/d).

Statistical analysis

All statistical analyses were conducted using SPSS 22.0. The univariate descriptive statistics were conducted for each variable (frequency and percentage), and the frequency of eating out was expressed as a percentage. Data were run to compare means between different gender, age,leisure exercise and leisure SB groups using t tests, data were run to compare means of region, family-income and BMI status using Chi-square tests. Multivariate logistic regression analysis was used to analyze the relationship between eating out and overweight and obesity. After adjusting for age, region, logistic regression was employed to examine the association of eating out with overweight and obesity, where dependent variable was BMI status (obesity, overweight, normal weight and underweight), and adjusted odds ratios (OR) with 95% confidence intervals (CI) were obtained. Statistical significance was considered at p < 0.05.

Result

The distribution of the characteristics among participants

The characteristics of Chinese children aged 6–17 years are presented in Table 1. In this study, the number of children involved in the survey was 15,261, 7685 boys and 7575 girls were included, and the number of urban, suburban, rural and poor rural residents was 26.1, 27.3, 33.1 and 13.5%, respectively. Children of 6–12 and 13–17 years accounted for 61.8 and 31.2%. Children from different family incomes accounted for 60.0, 15.4,4.4 and 20.2% respectively. The detailed distribution of leisure exercise, family income, leisure SB and weight status among different genders are shown in Table 1.
Table 1
Demographic characteristics of participant
Variables
Boys
% of
Sub-Group
Girls
% of
Sub-Group
All
% of
Sub-Group
N
N
N
Age (years)
 36–12
4724
61.5
4712
62.2
9436
61.8
 13–17
2961
38.5
2864
37.8
5825
38.2
Region
 Urban
1992
25.9
1995
26.3
3987
26.1
 Suburban
2093
27.2
2071
27.3
4164
27.3
 Rural
2566
33.4
2487
32.8
5053
33.1
 Poor rural
1034
13.5
1023
13.5
2057
13.5
Family income
 Low
4628
60.2
4528
59.8
9156
60.0
 Medium
1195
15.5
1153
15.2
2348
15.4
 High
360
4.7
312
4.1
672
4.4
 Unknown
1502
19.5
1583
20.9
3085
20.2
Leisure exercise
 No
4294
55.9
4537
59.9
8831
57.9
 Yes
3391
44.1
3039
40.1
6430
42.1
Leisure SB
 ≦2 h/d
2952
38.4
2928
38.6
5880
38.5
  > 2 h/d
4733
61.6
4648
61.4
9381
61.5
BMI status
 Obesity
991
12.9
631
8.3
1622
10.6
 Overweight
1140
14.8
875
11.5
2015
13.2
 Normal
5024
65.4
5668
74.8
10,692
70.1
 Underweight
530
6.9
402
5.3
932
6.1

The frequency of eating outside of participants

The characteristics of participants were presented in Table 2. Children who ate out 0, 1–2 and ≥ 3 times per week were accounted for 76.8, 10.9 and 12.3%, respectively. Although no significant gender difference in frequency of eating out was observed, we found that there was a trend that children from economic developed region and low income family eat out more often (P < 0.05). Compared with their counterparts, younger children, those with leisure exercise, leisure SB (> 2 h/d) were more likely to eat out (P < 0.05). In additional, Table 1 shows the frequency distribution of eating out is significantly different among children with different weight status (P < 0.05).
Table 2
The frequency of eating outside of participants
Variables
Total
Eating-out (times/ week)
χ2
P
0
1–2
≥3
N
N(%)
N(%)
N(%)
Total
15,261
11,724 (76.8)
1668 (10.9)
1869 (12.3)
  
Gender
3.47
0.177
 Boys
7685
5887 (50.2)
822 (49.3)
976 (52.2)
  
 Girls
7576
5837 (49.8)
846 (50.7)
893 (47.8)
  
Age (years)
98.52
< 0.001
 6–12
9436
7491 (63.9)
956 (57.3)
989 (52.9)
  
 13–17
5825
4233 (36.1)
712 (42.7)
880 (47.1)
  
Region
1127.52
< 0.001
 Urban
3987
2455 (20.9)
696 (41.7)
838 (44.7)
  
 Suburban
4164
2996 (25.6)
551 (33.0)
617 (33.0)
  
 Rural
5053
4455 (38.0)
253 (15.2)
345 (18.5)
  
 Poor rural
2057
1818 (15.5)
168 (10.1)
71 (3.8)
  
Family income
362.46
< 0.001
 Low
9156
7469 (63.7)
773 (46.4)
914 (48.9)
  
 Medium
2348
1645 (14.0)
331 (19.8)
372 (19.9)
  
 High
672
386 (3.3)
147 (8.8)
139 (7.4)
  
 Unknown
3085
2224 (19.0)
417 (25.0)
444 (23.8)
  
Leisure exercise
285.49
< 0.001
 No
8831
7219 (61.6)
767 (46.0)
845 (45.2)
  
 Yes
6430
4505 (38.4)
901 (54.0)
1024 (54.8)
  
Leisure SB
150.01
< 0.001
  ≤ 2 h/d
5880
4824 (41.2)
526 (31.5)
530 (28.4)
  
  > 2 h/d
9381
6900 (58.8)
1142 (68.5)
1339 (71.6)
  
BMI status
35.34
< 0.001
 Obesity
1622
1212 (10.3)
189 (11.3)
221 (11.8)
  
 Overweight
2015
1499 (12.8)
231 (13.9)
285 (15.3)
  
 Normal
10,692
8238 (70.3)
1181 (70.8)
1273 (68.1)
  
 Underweight
932
775 (6.6)
67 (4.0)
90 (4.8)
  

Logistic regression analysis of the relationship between frequency of eating out with overweight and obesity

The relationship between frequency of eating out with overweight and obesity were presented in Table 3. In model 1, eating out was positively and significantly associated with overweight and obesity among children (OR = 1.18, 95% CI: 1.04–1.34), No significant relationship was observed among girls (OR = 0.97,95 CI: 0.83–1.21). After further adjustment for leisure exercises and leisure time sedentary behaviors, the estimates of the association was reduced, but the significance of the association remained (model 2). Additional adjustment for age, gender, region, family income,, those who ate out 3 times or more per week had a higher risk of overweight and obesity (OR = 1.21, 95% CI: 1.03–1.41) in boys group, compared to those who ate out less than 3 times a week. No significant relationship was observed among girls (OR = 0.91,95 CI: 0.78–1.01).
Table 3
Logistic regression analysis of frequency of eating out and overweight and obesity.
Model
Eating out
Total
Boys
Girls
times/ week
OR(95%CI)
P
OR(95%CI)
P
OR(95%CI)
P
Model 1a
 
0
Reference
     
 
1–2
1.18 (1.04–1.34)
0.009
1.37 (1.17–1.62)
< 0.001
0.97 (0.80–1.18)
0.757
 
≥3
1.22 (1.09–1.37)
0.001
1.37 (1.18–1.60)
< 0.001
1.00 (0.83–1.21)
0.992
Model 2b
 
0
Reference
     
 
1–2
1.13 (1.00–1.28)
0.054
1.32 (1.12–1.56)
< 0.001
0.93 (0.76–1.13)
0.471
 
≥3
1.16 (1.03–1.31)
0.012
1.31 (1.13–1.53)
< 0.001
0.96 (0.79–1.16)
0.673
Model 3c
 
0
Reference
     
 
1–2
1.04 (0.92–1.18)
0.522
1.15 (0.97–1.37)
0.099
0.91 (0.74–1.11)
0.346
 
≥3
1.09 (0.96–1.23)
0.178
1.21 (1.03–1.41)
0.020
0.92 (0.76–1.13)
0.432
a. model1: The model analyzed the frequency of eating out and overweight and obesity.
b. Model 2: The model adjusted leisure exercises and leisure time sedentary behaviors upon model 1.
c. Model 3: Additional adjusted for age, region, family income upon model 2.

Discussion

In peace the rapid rapid economic development, the dietary structure and lifestyle have changed greatly. The study found that more than half of children ate out, which was higher than the national average of 28.3% as reported by the China National Health and Nutrition Survey in 2002. In parallel with an increase in the prevalence of overweight and obesity among children, the rate of eating out has increased rapidly in recent years. The current study clearly demonstrated the significant association between overweight and obesity with higher frequency of eating outside among boys, similar results were observed in previous researches: as in Brazilian children [27], and had been found among children from Etiology of Childhood Obesity (ECHO) study [28], among children and adolescents aged 11–14 years in London Borough [29], in Portugal children [20] and in US elementary schools students [30]. However, we did not observe a significant association between obesity and eating out in group of girls, which may due to boys’ greater preference for fatty food and girls pay more attention to their weight [3133]. Whereas, the result of the UK National Diet and Nutrition Survey (NDNS) indicated that no association between energy intake and frequency of consumption of meals out in children [34]. The difference of the research results probable partly due to the lack of a unified standard for the definition of dining out. The definition for our research was refer to restaurant only, the scope is relatively limited. Moreover, at present, our research data are mainly from the results of the 2010–2012 survey, With the rapid development of catering industry in recent years. Furthermore, our research data are mainly from the finding of investigation in 2010–2012, in peace with the rapid expansion of the catering industry in recent years, consuming food from restaurant has became more convenience. Children have easy access to eat out or order online, which probably lead the increasing frequency of eating out among children. Therefore, it is necessary to take corresponding strategies and interventions to to prevent unhealthy eating behaviors among children, such as diversified health and nutrition education should be applied among children and parents.
Consistent with previous studies [18, 35], 6–12 years children were more likely to be overweight and obesity compared with 13–17 years children, which may be related to the fact that younger children tended to eat out. One possible explanation from previous research [36, 37] suggested that older children tend to choose more healthy food, which may related to the growing conception of healthy eating behavior among older children. Thus, more researches are needed to provide dietary guidance of eating out on younger children. Additionally, the study found that children from high-income household were associated with greater prevalence of overweight and obesity, the finding supported by previous researches [38, 39]. Li Miao found that children from high income family with more pocket money tend to be overweight and obesity [40]. however, opposite to previous research [31] lower rate of frequency of eating out was found among children from high-income family, which may be related to the fact that the rate of overweight and obesity was higher among children from high-income family, then they were less likely to eat out. Furthermore, The study showed that in comparison with children in rural regions, children from urban regions tended to be overweight and obesity, and this difference was also found in other domestic studies [41, 42], which was likely due to the convenience of eating out in the urban regions [43]. Similar result was founded in a survey conducted among Mexican children found that urban children [44] consumed more energy daily than those in the rural regions. Therefore, dietary nutrition education and intervention about healthy eating is necessary. As seen in the current study, children who do leisure exercise tended to eat out, It could be because of the energy expenditure caused by doing exercise, which leads children tend to foods sold in restaurants with better flavor color and taste. Leisure exercise was positive associated with high rate of overweight and obesity, which may be related to the fact that majority of childhood obesity prevention program implemented among obese rather than non-obese children [45], thus Obese children were more likely to participate in exercises [46]. We also found that children those had more leisure sedentary time tended to eat out. The similar result was found among Pakistan children aged 5 to 12 years showed that eating fast food had a significant association with sedentary behavior [47] and Matheson’s study [48]. Sedentary which included watching television and playing video game, television advertising of restaurant foods were attractive for children, which was the possible explanation of the higher rate of eating out. Preventive strategies and practical approaches may need to reduce children’s sedentary time.
The main advantages of this study were that the sample was nationally representative, which can reflect the nutrition and health status of Chinese children. The data gave a general description of eating out behavior of Chinese children aged 6–17 years, and the result provided a reference for further research with similar situation. Additionally, as eating out has become an integral part of the daily life, many researches of relationship between eating out and dietary quality among children, while, insufficient guidance of the maximum recommended frequency of eating out were existed. The result of this study provide reference times for eating out by genders. However, the current study had several limitations. Firstly, as the definition of eating out which including restaurant only. Which may underestimate the frequency of eating out; secondly, this study was cross-sectional study, the causal relationship between the eating out and overweight and obesity cannot be determined; finally, The calculated intake of energy and other nutrients is deficient, only the frequency of eating out in the interview-administered questionnaire table are analyzed. Therefore, the conclusion of the study still has practical significance.

Conclusion

In conclusion, the result of this study demonstrated that the prevalence of eating out was 23.3% among Chinese children. Younger children, urban children and children from low-income family were more likely to eat out. Thus, dietary nutritional education and intervention about healthy eating is necessary. Considering the higher risk overweight and obesity among boys, interventions regarding eating out should tailor messages appropriately to target specific subjects by genders. From a public health perspective, the result suggested that interventions are needed to strengthen the monitoring of the situation of children eating out, thus contributing to reduce the potential enormous economic costs that are associated with eating out behavior-related illnesses, such as overweight and obesity.

Acknowledgments

We thank all team members and participants for the China National and Health Survey (CHNHS 2010-2012).

Declarations

The informed consent of the 2010–2012 CNNHS was approved by the Ethical Committee of National Institute for Nutrition and Health (NINH), Chinese Center for Disease Control and Prevention (2013–018). Our study was approved by the Ethical Committee of NINH. We have received administrative permission to access the data from National Institute for Nutrition and Health (NINH), Chinese Center for Disease Control and Prevention.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. 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 in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
3.
Zurück zum Zitat Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the global burden of disease study 2013. Lancet (London, England). 2014;384(9945):766–81.CrossRef Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the global burden of disease study 2013. Lancet (London, England). 2014;384(9945):766–81.CrossRef
4.
Zurück zum Zitat Gupta N, Shah P, Nayyar S, Misra A. Childhood obesity and the metabolic syndrome in developing countries. Indian J Pediatr. 2013;80(Suppl 1):S28–37.CrossRef Gupta N, Shah P, Nayyar S, Misra A. Childhood obesity and the metabolic syndrome in developing countries. Indian J Pediatr. 2013;80(Suppl 1):S28–37.CrossRef
6.
Zurück zum Zitat Ma G, Jie M. Report on childhood obesity in China, vol. 12. Beijing, China: People’s Health Publishing House; 2017. Ma G, Jie M. Report on childhood obesity in China, vol. 12. Beijing, China: People’s Health Publishing House; 2017.
8.
Zurück zum Zitat Simmonds M, Burch J, Llewellyn A, Griffiths C, Yang H, Owen C, et al. The use of measures of obesity in childhood for predicting obesity and the development of obesity-related diseases in adulthood: A systematic review and meta-analysis. Health Technol Assess. 2015;19:1–336.CrossRef Simmonds M, Burch J, Llewellyn A, Griffiths C, Yang H, Owen C, et al. The use of measures of obesity in childhood for predicting obesity and the development of obesity-related diseases in adulthood: A systematic review and meta-analysis. Health Technol Assess. 2015;19:1–336.CrossRef
11.
Zurück zum Zitat Silventoinen K, Rokholm B, Kaprio J, Sørensen TI. The genetic and environmental influences on childhood obesity: a systematic review of twin and adoption studies. Int J Obes (Lond). 2010;34(1):29–40.CrossRef Silventoinen K, Rokholm B, Kaprio J, Sørensen TI. The genetic and environmental influences on childhood obesity: a systematic review of twin and adoption studies. Int J Obes (Lond). 2010;34(1):29–40.CrossRef
13.
Zurück zum Zitat Seguin RA, Aggarwal A, Vermeylen F, Drewnowski A. Consumption frequency of foods away from home linked with higher body mass index and lower fruit and vegetable intake among adults: a cross-sectional study. J Environ Public Health. 2016;2016:3074241.CrossRef Seguin RA, Aggarwal A, Vermeylen F, Drewnowski A. Consumption frequency of foods away from home linked with higher body mass index and lower fruit and vegetable intake among adults: a cross-sectional study. J Environ Public Health. 2016;2016:3074241.CrossRef
15.
Zurück zum Zitat National Bureau of Statistics. China Statistical Yearbook. Beijing, China: China Statistics Press; 2012. National Bureau of Statistics. China Statistical Yearbook. Beijing, China: China Statistics Press; 2012.
21.
Zurück zum Zitat Zhang Y, Wang J, Xue Y, Zheng Y, Wang P, Zhang Y. Investigation on relevant factors of eating out and fast food and overweight and obesity among 3–12 years old children in 9 areas of China. Zhong Guo Fu You Bao Jian Matern Child Health Care China. 2014;31:5132–5. Zhang Y, Wang J, Xue Y, Zheng Y, Wang P, Zhang Y. Investigation on relevant factors of eating out and fast food and overweight and obesity among 3–12 years old children in 9 areas of China. Zhong Guo Fu You Bao Jian Matern Child Health Care China. 2014;31:5132–5.
22.
Zurück zum Zitat Giovanna CA, Maria FG, Maria L, Catarina MA, Renata BL. The consumption of ultra-processed foods according to eating out occasions. Public Health Nutr. 2020;236(3):1041–8. Giovanna CA, Maria FG, Maria L, Catarina MA, Renata BL. The consumption of ultra-processed foods according to eating out occasions. Public Health Nutr. 2020;236(3):1041–8.
23.
Zurück zum Zitat Deng J, Yang S, Ao L, Li B, Zou Z, Li L, et al. Influencing factors of family eating out and its correlation withoverweight and obesity among urban fresh middle school students in Guangzhou City. Xian Dai Yi Yao Wei Sheng J Modern Med Health. 2019;35(10):1455–9. Deng J, Yang S, Ao L, Li B, Zou Z, Li L, et al. Influencing factors of family eating out and its correlation withoverweight and obesity among urban fresh middle school students in Guangzhou City. Xian Dai Yi Yao Wei Sheng J Modern Med Health. 2019;35(10):1455–9.
24.
Zurück zum Zitat Zhao L, Ma G, Piao J, Zhang J, Yu D, He Y, et al. Scheme of the 2010-2012 Chinese nutrition and health surveillance. Zhong Hua Yu Fang Yi Xue Za Zhi. 2016;50(3):204–7. Zhao L, Ma G, Piao J, Zhang J, Yu D, He Y, et al. Scheme of the 2010-2012 Chinese nutrition and health surveillance. Zhong Hua Yu Fang Yi Xue Za Zhi. 2016;50(3):204–7.
25.
Zurück zum Zitat Group of China Obesity Task Force Correspondence. Body mass index reference norm for screening overweight and obesity in Chinese children and adolescents. Zhonghua Liu Xing Bing Xue Za Zhi Chin J Epidemiol. 2004;25(2):97–102. Group of China Obesity Task Force Correspondence. Body mass index reference norm for screening overweight and obesity in Chinese children and adolescents. Zhonghua Liu Xing Bing Xue Za Zhi Chin J Epidemiol. 2004;25(2):97–102.
26.
Zurück zum Zitat Dong YH, Wang ZH, Yang ZG, Wang XJ, Chen YJ, Zou ZY, et al. Epidemic status and secular trends of malnutrition among children and adolescents aged 7–18 years from 2005 To 2014 in China. Beijing Da Xue Xue Bao. 2017;49(3):424–32.PubMed Dong YH, Wang ZH, Yang ZG, Wang XJ, Chen YJ, Zou ZY, et al. Epidemic status and secular trends of malnutrition among children and adolescents aged 7–18 years from 2005 To 2014 in China. Beijing Da Xue Xue Bao. 2017;49(3):424–32.PubMed
30.
Zurück zum Zitat Ayala GX, Rogers M, Arredondo EM, Campbell NR, Baquero B, Duerksen SC, et al. Away-from-home food intake and risk for obesity: examining the influence of context. Obesity (Silver Spring). 2008;16(5):1002–8.CrossRef Ayala GX, Rogers M, Arredondo EM, Campbell NR, Baquero B, Duerksen SC, et al. Away-from-home food intake and risk for obesity: examining the influence of context. Obesity (Silver Spring). 2008;16(5):1002–8.CrossRef
31.
Zurück zum Zitat Qiu C, Hou M. Association between food preferences, eating behaviors and socio-demographic factors, physical activity among children and adolescents: a cross-sectional study. Nutrients. 2020;12(3):640. Qiu C, Hou M. Association between food preferences, eating behaviors and socio-demographic factors, physical activity among children and adolescents: a cross-sectional study. Nutrients. 2020;12(3):640.
39.
Zurück zum Zitat Zang J, Luo B, Wang Y, Zhu Z, Wang Z, He X, et al. Eating out-of-home in adult residents in shanghai and the nutritional differences among dining places. Nutrients. 2018;10(7):951. Zang J, Luo B, Wang Y, Zhu Z, Wang Z, He X, et al. Eating out-of-home in adult residents in shanghai and the nutritional differences among dining places. Nutrients. 2018;10(7):951.
41.
Zurück zum Zitat Ma J, Cai C, Wang H, Dong B, Song Y, Hu P, et al. Trends in overweight and obesity among Chinese children of 7–18 years old during 1985–2010. Zhong Hua Yu Fang Yi Xue Za Zhi. 2012;46(9):776–80. Ma J, Cai C, Wang H, Dong B, Song Y, Hu P, et al. Trends in overweight and obesity among Chinese children of 7–18 years old during 1985–2010. Zhong Hua Yu Fang Yi Xue Za Zhi. 2012;46(9):776–80.
42.
Zurück zum Zitat Wang S, Dong Y, Wang Z, Zou Z, Ma J. Trends in overweight and obesity among Chinese children of 7–18 years old during 1985–2014. Zhong Hua Yu Fang Yi Xue Za Zhi. 2017;51(4):300–5. Wang S, Dong Y, Wang Z, Zou Z, Ma J. Trends in overweight and obesity among Chinese children of 7–18 years old during 1985–2014. Zhong Hua Yu Fang Yi Xue Za Zhi. 2017;51(4):300–5.
46.
Zurück zum Zitat Lu C, Wang Z, Dong Y, Ma J. Prevalence of weight-loss behaviors and the associations betweenweight-loss behaviors and weight-related perceptions among students in primary and middle schools in China. Chin J School Health. 2017;3:330–3. Lu C, Wang Z, Dong Y, Ma J. Prevalence of weight-loss behaviors and the associations betweenweight-loss behaviors and weight-related perceptions among students in primary and middle schools in China. Chin J School Health. 2017;3:330–3.
Metadaten
Titel
The association between frequency of eating out with overweight and obesity among children aged 6–17 in China: a National Cross-sectional Study
verfasst von
Yanning Ma
Weiyan Gong
Caicui Ding
Chao Song
Fan Yuan
Jing Fan
Ganyu Feng
Zheng Chen
Ailing Liu
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2021
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-021-11104-0

Weitere Artikel der Ausgabe 1/2021

BMC Public Health 1/2021 Zur Ausgabe