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Relationship of social capital with overweight and obesity among female health care workers

BACKGROUND: The epidemic of obesity has turned into a major global health challenge. Environmental and social factors such as social capital, can significantly affect obesity. This study aimed to evaluate the relationship of social capital with overweight and obesity among female health-care workers...

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Autores principales: Firouzbakht, Mojgan, Esmaeil Riahi, Mohammad, Hajian-Tilaki, Karimollah, Ebadi, Abbas, Tirgar, Aram, Nikpour, Maryam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Babol University of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6729155/
https://www.ncbi.nlm.nih.gov/pubmed/31558989
http://dx.doi.org/10.22088/cjim.10.3.281
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author Firouzbakht, Mojgan
Esmaeil Riahi, Mohammad
Hajian-Tilaki, Karimollah
Ebadi, Abbas
Tirgar, Aram
Nikpour, Maryam
author_facet Firouzbakht, Mojgan
Esmaeil Riahi, Mohammad
Hajian-Tilaki, Karimollah
Ebadi, Abbas
Tirgar, Aram
Nikpour, Maryam
author_sort Firouzbakht, Mojgan
collection PubMed
description BACKGROUND: The epidemic of obesity has turned into a major global health challenge. Environmental and social factors such as social capital, can significantly affect obesity. This study aimed to evaluate the relationship of social capital with overweight and obesity among female health-care workers. METHODS: This cross-sectional study was conducted in 2018 on 680 female health-care workers who were randomly selected from healthcare settings affiliated to Babol University of Medical Sciences, Babol, Iran. Data were collected using a demographic questionnaire and the Workplace Social Capital (WSC) questionnaire. The SPSS Version 21 was employed to analyze the data through conducting the independent-sample t and the chi-square tests as well as the linear and the logistic regression analyses at a significance level of less than 0.05. RESULTS: Linear regression analysis revealed that age, marital status, satisfaction with economic status, and structural social capital were significant predictors of body mass index (P<0.05). Moreover, logistic regression analysis indicated that weak social capital increased the odds of overweight/ obesity by 1.3 times (OR=1.345; 95% CI: 0.643–2.812) and weak structural social capital significantly increased the odds of overweight /obesity by almost four times (OR=3.757; 95% CI: 1.628–8.671; P=0.002). CONCLUSION: Social capital, particularly structural social capital, is a significant predictor of body mass index and a protective factor against obesity among female health-care workers. Further studies are needed to determine the paths through which social capital affects obesity- and overweight-related behaviors.
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spelling pubmed-67291552019-09-26 Relationship of social capital with overweight and obesity among female health care workers Firouzbakht, Mojgan Esmaeil Riahi, Mohammad Hajian-Tilaki, Karimollah Ebadi, Abbas Tirgar, Aram Nikpour, Maryam Caspian J Intern Med Original Article BACKGROUND: The epidemic of obesity has turned into a major global health challenge. Environmental and social factors such as social capital, can significantly affect obesity. This study aimed to evaluate the relationship of social capital with overweight and obesity among female health-care workers. METHODS: This cross-sectional study was conducted in 2018 on 680 female health-care workers who were randomly selected from healthcare settings affiliated to Babol University of Medical Sciences, Babol, Iran. Data were collected using a demographic questionnaire and the Workplace Social Capital (WSC) questionnaire. The SPSS Version 21 was employed to analyze the data through conducting the independent-sample t and the chi-square tests as well as the linear and the logistic regression analyses at a significance level of less than 0.05. RESULTS: Linear regression analysis revealed that age, marital status, satisfaction with economic status, and structural social capital were significant predictors of body mass index (P<0.05). Moreover, logistic regression analysis indicated that weak social capital increased the odds of overweight/ obesity by 1.3 times (OR=1.345; 95% CI: 0.643–2.812) and weak structural social capital significantly increased the odds of overweight /obesity by almost four times (OR=3.757; 95% CI: 1.628–8.671; P=0.002). CONCLUSION: Social capital, particularly structural social capital, is a significant predictor of body mass index and a protective factor against obesity among female health-care workers. Further studies are needed to determine the paths through which social capital affects obesity- and overweight-related behaviors. Babol University of Medical Sciences 2019 /pmc/articles/PMC6729155/ /pubmed/31558989 http://dx.doi.org/10.22088/cjim.10.3.281 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Firouzbakht, Mojgan
Esmaeil Riahi, Mohammad
Hajian-Tilaki, Karimollah
Ebadi, Abbas
Tirgar, Aram
Nikpour, Maryam
Relationship of social capital with overweight and obesity among female health care workers
title Relationship of social capital with overweight and obesity among female health care workers
title_full Relationship of social capital with overweight and obesity among female health care workers
title_fullStr Relationship of social capital with overweight and obesity among female health care workers
title_full_unstemmed Relationship of social capital with overweight and obesity among female health care workers
title_short Relationship of social capital with overweight and obesity among female health care workers
title_sort relationship of social capital with overweight and obesity among female health care workers
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6729155/
https://www.ncbi.nlm.nih.gov/pubmed/31558989
http://dx.doi.org/10.22088/cjim.10.3.281
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