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Erschienen in: Health and Quality of Life Outcomes 1/2018

Open Access 01.12.2018 | Research

Perceived social support and health-related quality of life (HRQoL) in Tehranian adults: Tehran lipid and glucose study

verfasst von: Sara Jalali-Farahani, Parisa Amiri, Mehrdad Karimi, Golnaz Vahedi-Notash, Golshan Amirshekari, Fereidoun Azizi

Erschienen in: Health and Quality of Life Outcomes | Ausgabe 1/2018

Abstract

Background

Several studies have demonstrated the positive association between perceived social support and health-related quality of life (HRQoL) in certain groups; however, few studies have assessed this relationship in general population and between genders. This study aimed to investigate associations between socio-demographic factors, perceived social support and HRQoL among an urban Iranian population.

Methods

The study population were 1036 adults who had participated in Tehran Lipid and Glucose Study (TLGS). Data on socio-demographic information, perceived social support and HRQoL were collected using standard questionnaires by trained interviewers. Perceived social support and HRQoL were assessed using Iranian versions of the Multidimensional Scale of Perceived Social Support (MSPSS) and Short-Form 12-Item Health Survey version 2 (SF-12v2) respectively. Data on sets of associations among socio-demographic factors, perceived social support and quality of life were analyzed using Structural Equation Modeling (SEM) with IBM SPSS AMOS software.

Results

Mean ages were 50.3 ± 16.3 and 49.6 ± 14.0 years in men and women respectively and 40.9% of participants were male. In terms of perceived social support scores, except for family subscale scores (p = 0.003), there were no significant differences between men and women. However, men had significantly higher HRQoL scores, compared to women in all subscales. The findings of SEM analysis demonstrated that being married in both genders (p < 0.001) and lower age in men (p < 0.05) were significantly associated with higher level of perceived social support. In terms of physical HRQoL, being single and higher perceived social support in both genders and lower age and not having any chronic diseases, only in women were associated with higher physical HRQoL. However, for mental HRQoL, age and perceived social support had significant direct associations with mental HRQoL in both genders (p < 0.001); in women, being single (p < 0.05) and not having chronic diseases (p < 0.001) were also significantly associated with better mental HRQoL.

Conclusion

Perceived social support was found to be both directly and indirectly associated with physical and mental aspects of HRQoL in both genders. Current structural models provide beneficial information for planning health promotion programs aimed at improving HRQoL among Tehranian adults.
Abkürzungen
HRQoL
Health-related quality of life
MCS
Mental component summary
MSPSS
Multidimensional Scale of Perceived Social Support
PCS
Physical component summary
SEM
Structural Equation Modeling
SF-12v2
Short-Form 12-Item Health Survey version 2
TLGS
Tehran Lipid and Glucose Study

Background

Following the sweeping changes worldwide in the pattern of illnesses and the rising prevalence of non-communicable diseases (NCDs) over the past decades, the medical framework has been changed and besides life expectancy, quality of life (QOL) has become critically important [1, 2]. Accordingly, beyond measurable objective outcomes, such as mortality and clinical functions, improving health-related quality of life (HRQoL) as an individuals’ self-evaluation of physical, mental, and social health status based on their experiences and perceptions, is now the ultimate goal of disease prevention programs being considered at different levels of health care [35].
Different demographic, psychological, environmental and social relations and conditions are known to be associated with HRQoL by data available in general populations and those with specific diseases in different stages of life [612]. Among these factors, findings regarding the influence of social support on individuals’ disease recovery, coping resources and HRQoL are remarkable [7, 8, 1317]. Social support as a multidimensional construct encompasses the kind of interpersonal interaction and relationship, individual’s belief that he/she is cared for and loved, esteemed and valued, and is a part of the communication network [1820]. Two main aspects of received and perceived social support have been considered in current literature; while received social support implies the particular supportive behavior which is provided to recipients by their supportive networks, perceived social support, as a subjective part of this concept, refers to the recipient’s perceptions regarding how existing support is made available to satisfy their needs [21, 22].
Several studies have demonstrated that in both Western and Eastern communities, perceived social support is positively associated with HRQoL in certain groups, e.g. those with acute or chronic diseases [2331], elderly populations [32, 33], immigrant workers and employees [34, 35]; however, few studies have assessed this relationship in general population and between genders [6, 36]. In this regard a community-based study conducted on a large population of American adults showed that compared to women, men reported better HRQoL as well as higher level of social support; however, there were no significant differences in the association between these two concepts between genders [36]. On the contrary, another study revealed a higher predictive power of social support for women’s QoL than for men, in an Italian population [6]. In addition, sex, age, educational level and job status were among the main socio-demographic indices which could improve physical or mental aspects of HRQoL [31].
HRQoL and social support as cultural and value-based concepts have been separately addressed only in a few Iranian studies. Those investigations that aimed to investigate the relation of these concepts in Iranian population have been focused on the particular employees, patients on hemodialysis, and those with coronary heart disorders and HIV [35, 3740]. In this regard, considering the glaring lack of data on this relationship among general Iranian populations, this study assessed the hypothesized model which examined the network of associations among socio-demographic variables, social support and HRQoL in Iranian men and women by structural equation modeling.

Methods

The population of this study were adults (> 19 years), participants of the Tehran Lipid and Glucose Study (TLGS), a community-based study designed and conducted among residents of district No. 13 of Tehran, aimed at determining the risk factors and prevention of non-communicable diseases [41]. Of TLGS participants who participated during 2015–2016 (n = 1139), after excluding outliers (n = 31) and missing data (n = 72), all adults participants who had complete data on Short-Form 12-Item Health Survey version 2 (SF-12v2) and Multidimensional Scale of Perceived Social Support (MSPSS) were recruited for current study (n = 1036). Prior to data collection, the ethics committee of the Research Institute for Endocrine Sciences (RIES) of Shahid Beheshti University of Medical Sciences approved the study and all participants signed an informed consent form.
Socio-demographic information (age, marital status, employment status and level of education) and data on perceived social support and health-related quality of life of participants were collected by trained interviewers, using standard questionnaires. Having chronic diseases was defined as diagnosed cancer, chronic kidney diseases, diabetes, hypertension and history of cardiovascular diseases. Perceived social support was assessed using the MSPSS developed by Zimet et al.. The MSPSS encompasses 12 items and three subscales. Each subscale includes four items and assesses perceived social support from three different sources including family, friends and significant others. For scoring each item, a seven-point scale ranging from 1 (very strongly disagree) to 7 (very strongly agree) was used. The minimum and maximum total scores for the scale are 12 and 84 respectively and a higher total score indicates higher perceived social support. In the current study, the Iranian version of MSPSS was used; its validity and reliability have been reported in a previous study [42].
HRQoL was assessed using the SF-12v2, which is a generic measure of perceived health status, consisting of 12 items and eight subscales including physical functioning, role physical, bodily pain, general health, vitality, social functioning, role emotional and mental health. The subscale scores ranged from 0 to 100, indicating the lowest and highest level of health measured by the scale. Physical component summary (PCS) and mental component summary (MCS) scores were calculated using the appropriate scoring algorithms. Validity and reliability of the Iranian version of SF-12v2 has been reported previously [43].

Statistical analysis

For continuous variables, mean ± SD and for categorical ones, frequency (percent) were reported as descriptive statistics. Means of continuous and the distribution of categorical variables were compared between genders using the Independent samples t-test and the Chi-Square test respectively. Associations between socio-demographic, social support and quality of life scales were examined using Structural Equation Modeling (SEM) [44]. As shown in the conceptual frame work of the inter-relationship between variables (Fig. 1), social support and HRQoL were considered as latent constructs and social support was considered as mediator in the relationship between socio-demographic and HRQoL. To test the hypothesized model across gender groups and compare them, SEM multiple-group analysis was applied. In the first model (unconstrained model), all parameters were considered different in men and women. In the multiple group modeling, some constraints about parameters equality between men and women were considered. Constrained models were defined as follows: Measurement weights model: Equal factor loadings for measurement model of social support and quality of life constructs in men and women; Structural weights model: Equal factor loadings and regression weights between latent variables in men and women; Structural covariance model: Equal covariance for latent constructs in men and women; Structural residuals model: Equal residual variances for latent constructs in men and women and the measurement residuals model: All parameters were considered equal in men and women. Fit indices of SEM models after modifying were calculated and compared to their acceptable thresholds [45]. Statistical analysis and computations were done by IBM SPSS Statistics & AMOS version 22.

Results

Of 1036 participants, 40.9% were male and mean ages were 50.3 ± 16.3 and 49.6 ± 14.0 years in men and women respectively. Descriptive statistics for socio-demographic variables, perceived social support and HRQoL scores are presented in Table 1. Mean age and distribution of marital status did not differ significantly in men and women; however, there were significant differences in distributions of level of education and employment status. Most men and women had secondary education and a higher percentage of men (34.0%) had higher education compared to women (29.1%). In terms of employment status, majority of women were housewives (70.9%) and majority of men were employed (66.3%). About half of both men (42.5%) and women (50.7%) had chronic diseases with significantly higher prevalence in women compared to men (p < 0.05). In terms of social support scores, except for social family subscale scores (p = 0.003), there were no significant differences between men and women. However, as indicated in Table 1, in all subscales of HRQoL, men had significantly higher HRQoL scores compared to women (p < 0.001).
Table 1
Descriptive statistics of study participants
 
Male (n = 424)
Female (n = 612)
P value
Age (years)
50.3 ± 16.3
49.6 ± 14.0
0.52
Marital status n(%)
 -Single
83 (19.6)
139 (22.7)
0.257
 -Married
341 (80.4)
473 (77.3)
Level of education n(%)
 -Primary
109 (25.7)
208 (34.0)
0.016
 -Secondary
171 (40.3)
226 (36.9)
 -Higher
144 (34.0)
178 (29.1)
Employment status n(%)
 - Unemployed/student/housewife
32 (7.5)
434 (70.9)
< 0.001
 - Unemployed, but had other sources of income
111 (26.2)
71 (11.6)
 - Employed
281 (66.3)
107 (17.5)
Chronic diseases
 -No
244 (57.5)
302 (49.3)
0.011
 -Yes
180 (42.5)
310 (50.7)
Social support scores
65.8 ± 12.2
64.6 ± 12.6
0.15
 - Family
24.0 ± 4.3
23.2 ± 4.8
0.003
 - Friend
19.1 ± 6.0
19.2 ± 6.2
0.88
 -Significant other
22.6 ± 5.3
22.3 ± 5.7
0.32
SF-12 scores
 -Physical Function
87.2 ± 22.9
80.6 ± 25.2
< 0.001
 -Role Physical
84.6 ± 20.5
73.3 ± 24.1
< 0.001
 -Bodily pain
85.1 ± 21.0
75.4 ± 24.7
< 0.001
 -General Health
49.9 ± 22.2
45.2 ± 22.5
< 0.001
PCS
49.6 ± 7.3
47.2 ± 8.5
< 0.001
 -Vitality
69.2 ± 24.4
60.5 ± 25.9
< 0.001
 -Social Function
84.3 ± 24.9
77.5 ± 27.1
< 0.001
 -Role Emotional
80.3 ± 22.2
71.0 ± 24.2
< 0.001
 -Mental Health
74.8 ± 20.3
65.7 ± 22.1
< 0.001
MCS
50.6 ± 9.6
46.5 ± 11.1
< 0.001
Continuous variables are represented as mean ± SD and the categorical ones are presented as frequency (percentage)
PCS Physical component summary, MCS Mental component summary
The results of model comparison and fit indices of structural model considering different constraints are presented in Table 2. All evaluations about associations and the conceptual frame work of the inter-relationship between variables are reported based on the unconstrained model. In the unconstrained model (all parameters were considered different in men and women) we achieved acceptable fit indices and compared to one of constrained models entitled “measurement weights” (equal factor loadings allowed for measurement models of social support and quality of life constructs in men and women), no statistical difference was observed between two models (∆χ2 = 12.96, DF = 8, P = 0.11). All other constrained models were statistically different from the unconstrained one and the model with different parameters between men and women had better fit indices.
Table 2
Model comparison, fit indices and results of chi-square test for comparisons between the two models
Model
DF
χ2/DF
RMSEA
SRMR
CFI
GFI
NFI
IFI
AIC
Model comparisons(χ2,DF)
Unconstraineda
158
3.82
0.052
0.079
0.91
0.93
0.88
0.91
831.5
Assuming to be correct
Measurement weightsb
166
3.71
0.051
0.080
0.91
0.93
0.88
0.91
828.5
12.96, DF = 8
Structural weightsc
183
3.53
0.050
0.083
0.91
0.92
0.87
0.91
823.5
41.94*, DF = 25
Structural covarianced
196
5.30
0.064
0.096
0.83
0.90
0.80
0.83
1190.5
434.9**, DF = 38
Structural residualse
200
5.28
0.064
0.098
0.83
0.89
0.80
0.83
1200.2
452.7**, DF = 42
Measurement residualsf
215
5.10
0.063
0.098
0.82
0.89
0.79
0.82
1209.9
492.5**, DF = 57
Unconstrained model assuming to be correct, other proposed models b-f were compared to unconstrained model using chi-square difference test
DF degree of freedom, RMSEA root of mean square error approximation, SRMR standardized root mean square residual, CFI comparative fit index, GFI goodness of fit index, NFI normed fit index, IFI incremental fit index, AIC Akaike information criterion
*p < 0.05, **p < 0.001. aAll of the parameters were considered different in men and women, bEqual factor loadings for measurement model of social support and quality of life constructs in men and women, c Equal factor loadings and regression weights between latent variables in men and women, dEqual covariance for latent constructs in men and women, eEqual residual variances for latent constructs in men and women fAll parameters were considered equal in men and women
All hypothesized associations in the conceptual model among socio-demographic variables, perceived social support and HRQoL are demonstrated in Fig. 1; perceived social support, PSC and MCS were considered as latent constructs in the model. Figure 2 indicates structural models after testing the association between socio-demographic factors, social support and HRQoL by gender. Fit indices for SEM in men (χ2 = 298.2, df = 79, χ2/df = 3.77, CFI = 0.88, GFI = 0.92, RMSEA = 0.08, SRMR = 0.08) and women (χ2 = 300.7, df = 79, χ2/df = 3.80, CFI = 0.92, GFI = 0.94, RMSEA = 0.07, SRMR = 0.06) display acceptable fit for hypothesized models in gender groups. Only significant associations and their corresponding coefficients (β) are drawn in Fig. 2. The findings of structural equations modeling analysis are summarized as follows: In terms of social support, being married in both men (β = 0.33; p < 0.001) and women (β = 0.16; p < 0.001) and lower age, only in men (β = − 0.19; p < 0.05) were significantly associated with higher level of perceived social support. PCS and MCS were significantly correlated in both men (r = 0.74; p < 0.001) and women (r = 0.63; p < 0.001). In terms of PCS, being single and higher perceived social support in both genders and lower age and not having any chronic diseases only in women, were significantly associated with higher physical HRQoL scores. In terms of MCS, higher age and higher perceived social support were significantly associated with better mental HRQoL scores in both genders; however, in women, being single and not having chronic diseases were also significantly associated with better mental HRQoL scores.
The effect differences between men and women were tested using multi-group analysis. Standardized coefficients and their corresponding critical ratios (CR) for each gender are reported in Table 3. Findings indicate that the effect of age on physical HRQoL and the effects of chronic diseases and social support on mental HRQoL were significantly different between men and women with higher effects in women, compared to men.
Table 3
Results of the structural equation modeling analysis: gender-specific relationships between socio-demographic factors, social support and HRQoL
  
Male
Female
Difference CR
Coefficient β
CR
Coefficient β
CR
Age
Social support
−0.191
−2.28*
−0.041
−0.65
1.32
Marital statusa
0.326
4.13**
0.164
3.37**
−1.84
Educationb
−0.006
−0.10
0.066
1.16
0.87
Employment statusc
− 0.070
−1.19
− 0.017
− 0.33
0.80
Chronic diseasesd
0.041
0.64
0.079
1.44
0.43
Age
PCS
− 0.034
−0.44
− 0.216
−3.70**
− 2.16*
Marital status
− 0.179
− 2.43*
−0.164
−3.75**
0.15
Education
0.081
1.48
0.077
1.47
−0.02
Employment status
0.063
1.17
−0.019
−0.41
− 1.19
Chronic diseases
−0.088
−1.49
− 0.122
− 2.43*
− 0.46
Social support
0.193
3.15**
0.201
4.54**
0.26
Age
MCS
0.245
2.82**
0.185
2.95**
0.53
Marital status
−0.067
−0.87
− 0.096
− 2.06*
− 0.71
Education
−0.050
−0.86
0.083
1.47
1.70
Employment status
0.027
0.47
−0.026
− 0.52
−0.70
Chronic diseases
−0.004
−0.06
− 0.144
− 2.64**
− 2.04*
Social support
0.397
4.90**
0.422
7.54**
2.09*
PCSe
 
0.744
6.05**
0.634
8.26**
1.18
PCS Physical component summary, MCS Mental component summary
*p < 0.05, **p < 0.001, aSingle group was considered as reference group, bHigher education was considered as reference group, cUnemployed group was considered as reference group, dNot having chronic diseases was considered as reference group, ecorrelation coefficient

Discussion

The present study aimed at testing a conceptual model of associations among socio-demographic factors, perceived social support and health-related quality of life (HRQoL) in an urban Iranian population. Based on our findings, marital status and social support in both genders and age and having chronic diseases only in women were factors directly associated with the physical aspect of HRQoL. Furthermore, age and social support in both genders and marital status and having chronic diseases only in women, were factors directly associated with the mental aspect of HRQoL. These findings highlight the prominent role of perceived social support in both aspects of perceived health in Iranian adults.
In the current study, perceived social support from family and significant others were higher than friends. Recent findings imply that, compared to friends, family members and significant others are more important sources of perceived social support in our society. Moreover, current findings indicate no significant differences in perceived social support scores, except for social family subscale scores which were significantly higher in men, compared to women. Another study conducted among Tehranian medical personnel reported no gender differences in social support [35]. In terms of socio-demographic factors associated with perceived social support, marital status was significantly associated with perceived social support in both genders. Findings of higher perceived social support in Iranian married men and women, compared to their single counterparts are in line with other previous studies [4648]. Furthermore, younger men perceived higher social support, compared to older men, implying that with increasing age, the ability of men to make social connections decreases.
In the current study, social support was significantly associated with both aspects of HRQoL in both genders, a finding in agreement with previous studies from different countries [7, 36]; other studies conducted on different Iranian populations [35, 49] also found that perceived social support was an important correlate of HRQoL; these findings indicate that we/us humans are “social beings” and having good social relations and strong social ties can influence both the physical and mental aspects of health. An interesting finding of the current study was the different gender specific effect of social support on the mental aspect of HRQoL which was significantly higher in women compared to men. Another study conducted in Iran also revealed that insufficient perceived social support was shown to be associated with postpartum depression disorder in Iranian women [50], findings emphasizing the importance of perceived social support on mental aspect of health in women.
Among socio-demographic factors, the current conceptual model indicated that only age and marital status were significantly and directly associated with HRQoL and socio-economic factors (assessed by level of education and employment in this study) were not significantly associated with HRQoL in both genders emphasizing the important roles of marital status and age, compared to socio-economic status in perception of health among Iranian adults. Although married individuals were consistently found to have better perception regarding their health status in previous studies [51, 52], our findings indicate that single individuals reported better HRQoL scores as single women reported higher HRQoL scores in both physical and mental HRQoL and men reported higher scores only in physical HRQoL. Current evidence indicates that perceived social support was found to be a mediator of this association [53], data in line with our findings. Another important and interesting finding of this study was that while previous studies consistently reported poorer HRQoL in individuals suffering from different chronic diseases [5457]; based on the current conceptual model, no significant association was found between chronic diseases and HRQoL in men. However, in women, chronic diseases were associated with poorer HRQoL in both the physical and mental aspects indicating different patterns of association among HRQoL, perceived social support and other related factors in Iranian men and women.
In addition, based on gender specific analysis, factors including age, having chronic diseases and social support had significantly stronger effects on HRQoL in women, compared to men, implying more important roles for social factors in perception of health in women, compared to men.
Few studies in Iran have investigated the associations between perceived social support and HRQoL and those that did focused mainly on specific groups. The current study is among the first efforts that reports the associations among socio-demographic factors, perceived social support and health-related quality of life (HRQoL) in a general urban Iranian population with different socio-economic statuses. In interpreting the findings of this study, the following limitations should be considered; first, causality cannot be assumed from findings of this study due to its cross-sectional nature. More robust research designs, such as prospective cohorts or stepped wedge clusters are recommended to try and gauge causal relationships. Second, the participants of this study were limited to Tehranian adults and the results are not generalizable to other parts of Iran specifically rural areas; therefore, to consider these findings for policy making, conducting further studies in rural areas and other cities of Iran is definitely recommended. Moreover, in the current study, paired structure of data for couple participants was not considered which could affect the current results. To tackle this limitation, correlated data models such as random effects SEM recommended to be applied in future studies with large number of pairs or couples. Finally, as some other potential factors associated with HRQoL such as income level and gender-specific psycho-social conditions and opportunities were not included in the model, assessing these related factors is also recommended in future studies in this field.

Conclusion

In conclusion, among social factors considered in this study, age, marital status and perceived social support were significant determinants of both physical and mental HRQoL. Additionally, chronic diseases were associated with HRQoL only in women. The current structural model provide beneficial information for planning future health promotion programs aiming at improving HRQoL among Tehranian adults. Considering the nature of other significant social determinants of HRQoL, only social support can be included in intervention programs. Therefore, designing interventions aimed at helping individuals to foster their social network and make better social ties, especially with their family members are recommended.

Acknowledgments

The authors would like to express their appreciation to all participants of this study and wish to acknowledge Ms. Niloofar Shiva for critical editing of English grammar and syntax of the manuscript.

Availability of data and materials

Please contact Dr. Azita Zadeh-Vakili (vakili@endocrine.ac.ir) for any data request.
This study was approved by the research ethics committee of the Research Institute for Endocrine Sciences (RIES), Shahid Beheshti University of Medical Sciences. All participants of this study signed informed consent forms prior to data collection.

Competing interests

The authors declare that they have no competing interests.

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Literatur
1.
Zurück zum Zitat Boutayeb A, Boutayeb S. The burden of non communicable diseases in developing countries. Int J Equity Health. 2005;4(1):1.CrossRef Boutayeb A, Boutayeb S. The burden of non communicable diseases in developing countries. Int J Equity Health. 2005;4(1):1.CrossRef
2.
Zurück zum Zitat Kivits J, Erpelding M-L, Guillemin F. Social determinants of health-related quality of life. Rev Epidemiol Sante Publique. 2013;61:S189–S94.CrossRefPubMed Kivits J, Erpelding M-L, Guillemin F. Social determinants of health-related quality of life. Rev Epidemiol Sante Publique. 2013;61:S189–S94.CrossRefPubMed
3.
Zurück zum Zitat Tengland P-A. The goals of health work: quality of life, health and welfare. Med Health Care Philos. 2006;9(2):155–67.CrossRefPubMed Tengland P-A. The goals of health work: quality of life, health and welfare. Med Health Care Philos. 2006;9(2):155–67.CrossRefPubMed
4.
Zurück zum Zitat Bonomi AE, Patrick DL, Bushnell DM, Martin M. Validation of the United States’ version of the World Health Organization quality of life (WHOQOL) instrument. J Clin Epidemiol. 2000;53(1):1–12.CrossRefPubMed Bonomi AE, Patrick DL, Bushnell DM, Martin M. Validation of the United States’ version of the World Health Organization quality of life (WHOQOL) instrument. J Clin Epidemiol. 2000;53(1):1–12.CrossRefPubMed
5.
Zurück zum Zitat Amiri P, Hosseinpanah F, Rambod M, Montazeri A, Azizi F. Metabolic syndrome predicts poor health-related quality of life in women but not in men: Tehran lipid and glucose study. J Women’s Health. 2010;19(6):1201–7.CrossRef Amiri P, Hosseinpanah F, Rambod M, Montazeri A, Azizi F. Metabolic syndrome predicts poor health-related quality of life in women but not in men: Tehran lipid and glucose study. J Women’s Health. 2010;19(6):1201–7.CrossRef
6.
Zurück zum Zitat Rollero C, Gattino S, De Piccoli N. A gender lens on quality of life: the role of sense of community, perceived social support, self-reported health and income. Soc Indic Res. 2014;116(3):887–98.CrossRef Rollero C, Gattino S, De Piccoli N. A gender lens on quality of life: the role of sense of community, perceived social support, self-reported health and income. Soc Indic Res. 2014;116(3):887–98.CrossRef
7.
Zurück zum Zitat Tartaglia S. Different predictors of quality of life in urban environment. Soc Indic Res. 2013;113(3):1045–53.CrossRef Tartaglia S. Different predictors of quality of life in urban environment. Soc Indic Res. 2013;113(3):1045–53.CrossRef
8.
Zurück zum Zitat Rüesch P, Graf J, Meyer P, Rössler W, Hell D. Occupation, social support and quality of life in persons with schizophrenic or affective disorders. Soc Psychiatry Psychiatr Epidemiol. 2004;39(9):686–94.CrossRefPubMed Rüesch P, Graf J, Meyer P, Rössler W, Hell D. Occupation, social support and quality of life in persons with schizophrenic or affective disorders. Soc Psychiatry Psychiatr Epidemiol. 2004;39(9):686–94.CrossRefPubMed
9.
Zurück zum Zitat Fassio O, Rollero C, De Piccoli N. Health, quality of life and population density: a preliminary study on “contextualized” quality of life. Soc Indic Res. 2013;110(2):479–88.CrossRef Fassio O, Rollero C, De Piccoli N. Health, quality of life and population density: a preliminary study on “contextualized” quality of life. Soc Indic Res. 2013;110(2):479–88.CrossRef
10.
Zurück zum Zitat Sazlina S, Zaiton A, Afiah MN, Hayati K. Predictors of health related quality of life in older people with non-communicable diseases attending three primary care clinics in Malaysia. J Nutr Health Aging. 2012;16(5):498–502.CrossRefPubMed Sazlina S, Zaiton A, Afiah MN, Hayati K. Predictors of health related quality of life in older people with non-communicable diseases attending three primary care clinics in Malaysia. J Nutr Health Aging. 2012;16(5):498–502.CrossRefPubMed
11.
Zurück zum Zitat Datta D, Datta PP, Majumdar KK. Role of social interaction on quality of life. National J Med Res. 2015;5(4):290–2. Datta D, Datta PP, Majumdar KK. Role of social interaction on quality of life. National J Med Res. 2015;5(4):290–2.
13.
Zurück zum Zitat Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988;52(1):30–41.CrossRef Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988;52(1):30–41.CrossRef
14.
Zurück zum Zitat Gattino S, Rollero C, De Piccoli N. The influence of coping strategies on quality of life from a gender perspective. Appl Res Quality Life. 2015;10(4):689–701.CrossRef Gattino S, Rollero C, De Piccoli N. The influence of coping strategies on quality of life from a gender perspective. Appl Res Quality Life. 2015;10(4):689–701.CrossRef
15.
Zurück zum Zitat Courtens A, Stevens F, Crebolder H, Philipsen H. Longitudinal study on quality of life and social support in cancer patients. Cancer Nurs. 1996;19(3):162–9.CrossRefPubMed Courtens A, Stevens F, Crebolder H, Philipsen H. Longitudinal study on quality of life and social support in cancer patients. Cancer Nurs. 1996;19(3):162–9.CrossRefPubMed
16.
Zurück zum Zitat Hardan-Khalil K, Mayo AM. Psychometric properties of the multidimensional scale of perceived social support. Clin Nurse Specialist. 2015;29(5):258–61.CrossRef Hardan-Khalil K, Mayo AM. Psychometric properties of the multidimensional scale of perceived social support. Clin Nurse Specialist. 2015;29(5):258–61.CrossRef
17.
Zurück zum Zitat Wang H-H, Wu S-Z, Liu Y-Y. Association between social support and health outcomes: a meta-analysis. Kaohsiung J Med Sci. 2003;19(7):345–50.CrossRefPubMed Wang H-H, Wu S-Z, Liu Y-Y. Association between social support and health outcomes: a meta-analysis. Kaohsiung J Med Sci. 2003;19(7):345–50.CrossRefPubMed
18.
19.
20.
Zurück zum Zitat Schwarzer R, Knoll N, Rieckmann N. Social support. Health Psychol. 2004;158:181. Schwarzer R, Knoll N, Rieckmann N. Social support. Health Psychol. 2004;158:181.
21.
Zurück zum Zitat Haber MG, Cohen JL, Lucas T, Baltes BB. The relationship between self-reported received and perceived social support: a meta-analytic review. Am J Community Psychol. 2007;39(1–2):133–44.CrossRefPubMed Haber MG, Cohen JL, Lucas T, Baltes BB. The relationship between self-reported received and perceived social support: a meta-analytic review. Am J Community Psychol. 2007;39(1–2):133–44.CrossRefPubMed
22.
Zurück zum Zitat Gottlieb BH, Bergen AE. Social support concepts and measures. J Psychosom Res. 2010;69(5):511–20.CrossRefPubMed Gottlieb BH, Bergen AE. Social support concepts and measures. J Psychosom Res. 2010;69(5):511–20.CrossRefPubMed
23.
Zurück zum Zitat Ekbäck MP, Lindberg M, Benzein E, Årestedt K. Social support: an important factor for quality of life in women with hirsutism. Health Qual Life Outcomes. 2014;12(1):1.CrossRef Ekbäck MP, Lindberg M, Benzein E, Årestedt K. Social support: an important factor for quality of life in women with hirsutism. Health Qual Life Outcomes. 2014;12(1):1.CrossRef
24.
Zurück zum Zitat Tremolada M, Bonichini S, Basso G, Pillon M. Perceived social support and health-related quality of life in AYA cancer survivors and controls. Psychooncology. 2016; 25(12):1408–17. Tremolada M, Bonichini S, Basso G, Pillon M. Perceived social support and health-related quality of life in AYA cancer survivors and controls. Psychooncology. 2016; 25(12):1408–17.
25.
Zurück zum Zitat Paterson C, Jones M, Rattray J, Lauder W. Exploring the relationship between coping, social support and health-related quality of life for prostate cancer survivors: a review of the literature. Eur J Oncol Nurs. 2013;17(6):750–9.CrossRefPubMed Paterson C, Jones M, Rattray J, Lauder W. Exploring the relationship between coping, social support and health-related quality of life for prostate cancer survivors: a review of the literature. Eur J Oncol Nurs. 2013;17(6):750–9.CrossRefPubMed
26.
Zurück zum Zitat Zheng Y, Ye D-Q, Pan H-F, Li W-X, Li L-H, Li J, et al. Influence of social support on health-related quality of life in patients with systemic lupus erythematosus. Clin Rheumatol. 2009;28(3):265–9.CrossRefPubMed Zheng Y, Ye D-Q, Pan H-F, Li W-X, Li L-H, Li J, et al. Influence of social support on health-related quality of life in patients with systemic lupus erythematosus. Clin Rheumatol. 2009;28(3):265–9.CrossRefPubMed
27.
Zurück zum Zitat Colloca G, Colloca P. The effects of social support on health-related quality of life of patients with metastatic prostate Cancer. J Cancer Educ. 2016;31(2):244–52.CrossRefPubMed Colloca G, Colloca P. The effects of social support on health-related quality of life of patients with metastatic prostate Cancer. J Cancer Educ. 2016;31(2):244–52.CrossRefPubMed
28.
Zurück zum Zitat Gielen A, McDonnell K, Wu A, O’campo P, Faden R. Quality of life among women living with HIV: the importance violence, social support, and self care behaviors. Soc Sci Med. 2001;52(2):315–22.CrossRefPubMed Gielen A, McDonnell K, Wu A, O’campo P, Faden R. Quality of life among women living with HIV: the importance violence, social support, and self care behaviors. Soc Sci Med. 2001;52(2):315–22.CrossRefPubMed
29.
Zurück zum Zitat Ibrahim N, Desa A, Chiew-Tong NK, Ismail R, Zainah A. Social support and religious coping strategies in health-related quality of life of end-stage renal disease patients. Pertanika J Soc Sci Humanit. 2011;19:91–7. Ibrahim N, Desa A, Chiew-Tong NK, Ismail R, Zainah A. Social support and religious coping strategies in health-related quality of life of end-stage renal disease patients. Pertanika J Soc Sci Humanit. 2011;19:91–7.
30.
Zurück zum Zitat Ibrahim N, Teo SS, Din NC, Gafor AHA, Ismail R. The role of personality and social support in health-related quality of life in chronic kidney disease patients. PLoS One. 2015;10(7):e0129015.CrossRefPubMedPubMedCentral Ibrahim N, Teo SS, Din NC, Gafor AHA, Ismail R. The role of personality and social support in health-related quality of life in chronic kidney disease patients. PLoS One. 2015;10(7):e0129015.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Costa DC, Sá MJ, Calheiros JM. The effect of social support on the quality of life of patients with multiple sclerosis. Arq Neuropsiquiatr. 2012;70(2):108–13.CrossRefPubMed Costa DC, Sá MJ, Calheiros JM. The effect of social support on the quality of life of patients with multiple sclerosis. Arq Neuropsiquiatr. 2012;70(2):108–13.CrossRefPubMed
32.
Zurück zum Zitat Wedgeworth M, LaRocca MA, Chaplin WF, Scogin F. The role of interpersonal sensitivity, social support, and quality of life in rural older adults. Geriatr Nurs. 2016. Wedgeworth M, LaRocca MA, Chaplin WF, Scogin F. The role of interpersonal sensitivity, social support, and quality of life in rural older adults. Geriatr Nurs. 2016.
33.
Zurück zum Zitat Hajek A, Brettschneider C, Lange C, Posselt T, Wiese B, Steinmann S, et al. Gender differences in the effect of social support on health-related quality of life: results of a population-based prospective cohort study in old age in Germany. Qual Life Res. 2016;25(5):1159–68.CrossRefPubMed Hajek A, Brettschneider C, Lange C, Posselt T, Wiese B, Steinmann S, et al. Gender differences in the effect of social support on health-related quality of life: results of a population-based prospective cohort study in old age in Germany. Qual Life Res. 2016;25(5):1159–68.CrossRefPubMed
34.
Zurück zum Zitat Xing H, Yu W, Chen S, Zhang D, Tan R. Influence of social support on health-related quality of life in new-generation migrant workers in eastern China. Iran J Public Health. 2013;42(8):806.PubMedPubMedCentral Xing H, Yu W, Chen S, Zhang D, Tan R. Influence of social support on health-related quality of life in new-generation migrant workers in eastern China. Iran J Public Health. 2013;42(8):806.PubMedPubMedCentral
35.
Zurück zum Zitat Rostami A, Ghazinour M, Nygren L, Nojumi M, Richter J. Health-related quality of life, marital satisfaction, and social support in medical staff in Iran. Appl Res Quality Life. 2013;8(3):385–402.CrossRef Rostami A, Ghazinour M, Nygren L, Nojumi M, Richter J. Health-related quality of life, marital satisfaction, and social support in medical staff in Iran. Appl Res Quality Life. 2013;8(3):385–402.CrossRef
36.
Zurück zum Zitat Gallicchio L, Hoffman SC, Helzlsouer KJ. The relationship between gender, social support, and health-related quality of life in a community-based study in Washington County, Maryland. Qual Life Res. 2007;16(5):777–86.CrossRefPubMed Gallicchio L, Hoffman SC, Helzlsouer KJ. The relationship between gender, social support, and health-related quality of life in a community-based study in Washington County, Maryland. Qual Life Res. 2007;16(5):777–86.CrossRefPubMed
37.
Zurück zum Zitat Charkhian A, Fekrazad H, Sajadi H, Rahgozar M, Abdolbaghi MH, Maddahi S. Relationship between health-related quality of life and social support in HIV-infected people in Tehran, Iran. Iran J Public Health. 2014;43(1):100.PubMedPubMedCentral Charkhian A, Fekrazad H, Sajadi H, Rahgozar M, Abdolbaghi MH, Maddahi S. Relationship between health-related quality of life and social support in HIV-infected people in Tehran, Iran. Iran J Public Health. 2014;43(1):100.PubMedPubMedCentral
38.
Zurück zum Zitat Rambod M, Rafii F. Perceived social support and quality of life in Iranian hemodialysis patients. J Nurs Scholarsh. 2010;42(3):242–9.CrossRefPubMed Rambod M, Rafii F. Perceived social support and quality of life in Iranian hemodialysis patients. J Nurs Scholarsh. 2010;42(3):242–9.CrossRefPubMed
39.
Zurück zum Zitat Rostami Z, Lessan Pezeshki M, Soleimani Najaf Abadi A, Einollahi B. Health related quality of life in Iranian hemodialysis patients with viral hepatitis: changing epidemiology. Hepat Mon. 2013;13(6):e9611. Rostami Z, Lessan Pezeshki M, Soleimani Najaf Abadi A, Einollahi B. Health related quality of life in Iranian hemodialysis patients with viral hepatitis: changing epidemiology. Hepat Mon. 2013;13(6):e9611.
40.
Zurück zum Zitat Nekouei ZK, Yousefy A, Doost HTN, Manshaee G, Sadeghei M. Structural model of psychological risk and protective factors affecting on quality of life in patients with coronary heart disease: a psychocardiology model. J Res Medical Sci. 2014;19(2):90. Nekouei ZK, Yousefy A, Doost HTN, Manshaee G, Sadeghei M. Structural model of psychological risk and protective factors affecting on quality of life in patients with coronary heart disease: a psychocardiology model. J Res Medical Sci. 2014;19(2):90.
41.
Zurück zum Zitat Azizi F, Rahmani M, Emami H, Mirmiran P, Hajipour R, Madjid M, et al. Cardiovascular risk factors in an Iranian urban population: Tehran lipid and glucose study (phase 1). Sozial-und Präventivmedizin/Social and Preventive Medicine. 2002;47(6):408–26.CrossRefPubMed Azizi F, Rahmani M, Emami H, Mirmiran P, Hajipour R, Madjid M, et al. Cardiovascular risk factors in an Iranian urban population: Tehran lipid and glucose study (phase 1). Sozial-und Präventivmedizin/Social and Preventive Medicine. 2002;47(6):408–26.CrossRefPubMed
42.
Zurück zum Zitat Bagherian-Sararoudi R, Hajian A, Ehsan HB, Sarafraz MR, Zimet GD. Psychometric properties of the persian version of the multidimensional scale of perceived social support in Iran. Int J Prev Med. 2013;4(11):1277–81.PubMedPubMedCentral Bagherian-Sararoudi R, Hajian A, Ehsan HB, Sarafraz MR, Zimet GD. Psychometric properties of the persian version of the multidimensional scale of perceived social support in Iran. Int J Prev Med. 2013;4(11):1277–81.PubMedPubMedCentral
44.
Zurück zum Zitat Kline RB. Principles and practice of structural equation modeling. 4th Edition. New York: Guilford publications; 2015. Kline RB. Principles and practice of structural equation modeling. 4th Edition. New York: Guilford publications; 2015.
45.
Zurück zum Zitat Hooper D, Coughlan J, Mullen M. Structural equation modelling. Guidelines for determining model fit. Articles. 2008. p. 53–60. Hooper D, Coughlan J, Mullen M. Structural equation modelling. Guidelines for determining model fit. Articles. 2008. p. 53–60.
46.
Zurück zum Zitat Duffy ME. Social networks and social support of recently divorced women. Public Health Nurs (Boston, Mass). 1993;10(1):19–24.CrossRef Duffy ME. Social networks and social support of recently divorced women. Public Health Nurs (Boston, Mass). 1993;10(1):19–24.CrossRef
50.
Zurück zum Zitat Masoudnia E. Relationship between perceived social support and risk of postpartum depression disorder. Iran J Nurs. 2011;24(70):8–18. Masoudnia E. Relationship between perceived social support and risk of postpartum depression disorder. Iran J Nurs. 2011;24(70):8–18.
51.
Zurück zum Zitat Rohrer JE, Bernard ME, Zhang Y, Rasmussen NH, Woroncow H. Marital status, feeling depressed and self-rated health in rural female primary care patients. J Eval Clin Pract. 2008;14(2):214–7.CrossRefPubMed Rohrer JE, Bernard ME, Zhang Y, Rasmussen NH, Woroncow H. Marital status, feeling depressed and self-rated health in rural female primary care patients. J Eval Clin Pract. 2008;14(2):214–7.CrossRefPubMed
52.
Zurück zum Zitat Lindström M. Marital status, social capital, material conditions and self-rated health: a population-based study. Health Policy. 2009;93(2):172–9.CrossRefPubMed Lindström M. Marital status, social capital, material conditions and self-rated health: a population-based study. Health Policy. 2009;93(2):172–9.CrossRefPubMed
53.
Zurück zum Zitat Soulsby LK, Bennett KM. Marriage and psychological wellbeing: the role of social support. Psychology. 2015;6(11):1349.CrossRef Soulsby LK, Bennett KM. Marriage and psychological wellbeing: the role of social support. Psychology. 2015;6(11):1349.CrossRef
54.
Zurück zum Zitat Trevisol DJ, Moreira LB, Kerkhoff A, Fuchs SC, Fuchs FD. Health-related quality of life and hypertension: a systematic review and meta-analysis of observational studies. J Hypertens. 2011;29(2):179–88.CrossRefPubMed Trevisol DJ, Moreira LB, Kerkhoff A, Fuchs SC, Fuchs FD. Health-related quality of life and hypertension: a systematic review and meta-analysis of observational studies. J Hypertens. 2011;29(2):179–88.CrossRefPubMed
55.
Zurück zum Zitat Saboya PP, Bodanese LC, Zimmermann PR, Gustavo AdS, Assumpção CM, Londero F. Metabolic syndrome and quality of life: a systematic review. Rev Lat Am Enfermagem 2016;24. Saboya PP, Bodanese LC, Zimmermann PR, Gustavo AdS, Assumpção CM, Londero F. Metabolic syndrome and quality of life: a systematic review. Rev Lat Am Enfermagem 2016;24.
56.
Zurück zum Zitat Thommasen H, Zhang W. Impact of chronic disease on quality of life in the Bella Coola Valley. Rural Remote Health. 2006;6(2):528.PubMed Thommasen H, Zhang W. Impact of chronic disease on quality of life in the Bella Coola Valley. Rural Remote Health. 2006;6(2):528.PubMed
57.
Zurück zum Zitat Kiadaliri AA, Najafi B, Mirmalek-Sani M. Quality of life in people with diabetes: a systematic review of studies in Iran. J Diabetes Metab Disord. 2013;12(1):54.CrossRefPubMedPubMedCentral Kiadaliri AA, Najafi B, Mirmalek-Sani M. Quality of life in people with diabetes: a systematic review of studies in Iran. J Diabetes Metab Disord. 2013;12(1):54.CrossRefPubMedPubMedCentral
Metadaten
Titel
Perceived social support and health-related quality of life (HRQoL) in Tehranian adults: Tehran lipid and glucose study
verfasst von
Sara Jalali-Farahani
Parisa Amiri
Mehrdad Karimi
Golnaz Vahedi-Notash
Golshan Amirshekari
Fereidoun Azizi
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
Health and Quality of Life Outcomes / Ausgabe 1/2018
Elektronische ISSN: 1477-7525
DOI
https://doi.org/10.1186/s12955-018-0914-y

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