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Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity

OBJECTIVE: The prevalence of overweight/obesity in China has increased dramatically in recent years; being overweight/obese can increase the risk of type 2 diabetes and cardiovascular disease. The purpose of this study was to determine the population in China at high risk of being overweight or obes...

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Autores principales: Kong, De-Xian, Su, Xiao-feng, Zhao, Jing-wei, Chen, Lian, Meng, Ling-bing, Zhang, Zhen-xi, Yang, Sen, Zhang, Lei, Liu, Ya-bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436783/
https://www.ncbi.nlm.nih.gov/pubmed/32809884
http://dx.doi.org/10.1177/0300060520945885
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author Kong, De-Xian
Su, Xiao-feng
Zhao, Jing-wei
Chen, Lian
Meng, Ling-bing
Zhang, Zhen-xi
Yang, Sen
Zhang, Lei
Liu, Ya-bin
author_facet Kong, De-Xian
Su, Xiao-feng
Zhao, Jing-wei
Chen, Lian
Meng, Ling-bing
Zhang, Zhen-xi
Yang, Sen
Zhang, Lei
Liu, Ya-bin
author_sort Kong, De-Xian
collection PubMed
description OBJECTIVE: The prevalence of overweight/obesity in China has increased dramatically in recent years; being overweight/obese can increase the risk of type 2 diabetes and cardiovascular disease. The purpose of this study was to determine the population in China at high risk of being overweight or obese, to explore the relationships between various relevant factors and overweight/obesity, and to identify preventive efforts for high-risk populations. METHODS: We administered a questionnaire survey among a group of 536 social workers in Shijiazhuang City in 2017. We used the Pearson chi-square test, Spearman’s rho test, multivariate linear regression, univariate and multivariate logistic regression, and receiver operating characteristic curve analysis to investigate factors that influence overweight/obesity. RESULTS: The prevalence of overweight/obesity was 13.7% among the study participants. Urban residence, eating speed, number of daily meals, overeating, and a high-fat diet were associated with overweight/obesity. In multivariate linear regression analysis, overweight/obesity was correlated with sex, urban residence, eating speed, number of daily meals, and a high-fat diet. CONCLUSION: Among all influencing factors, dietary factors, place of residence, and sex were most closely related to being overweight/obese. Furthermore, living in an urban area and male sex were independent risk factors for being overweight/obese.
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spelling pubmed-74367832020-08-31 Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity Kong, De-Xian Su, Xiao-feng Zhao, Jing-wei Chen, Lian Meng, Ling-bing Zhang, Zhen-xi Yang, Sen Zhang, Lei Liu, Ya-bin J Int Med Res Prospective Clinical Research Report OBJECTIVE: The prevalence of overweight/obesity in China has increased dramatically in recent years; being overweight/obese can increase the risk of type 2 diabetes and cardiovascular disease. The purpose of this study was to determine the population in China at high risk of being overweight or obese, to explore the relationships between various relevant factors and overweight/obesity, and to identify preventive efforts for high-risk populations. METHODS: We administered a questionnaire survey among a group of 536 social workers in Shijiazhuang City in 2017. We used the Pearson chi-square test, Spearman’s rho test, multivariate linear regression, univariate and multivariate logistic regression, and receiver operating characteristic curve analysis to investigate factors that influence overweight/obesity. RESULTS: The prevalence of overweight/obesity was 13.7% among the study participants. Urban residence, eating speed, number of daily meals, overeating, and a high-fat diet were associated with overweight/obesity. In multivariate linear regression analysis, overweight/obesity was correlated with sex, urban residence, eating speed, number of daily meals, and a high-fat diet. CONCLUSION: Among all influencing factors, dietary factors, place of residence, and sex were most closely related to being overweight/obese. Furthermore, living in an urban area and male sex were independent risk factors for being overweight/obese. SAGE Publications 2020-08-18 /pmc/articles/PMC7436783/ /pubmed/32809884 http://dx.doi.org/10.1177/0300060520945885 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Prospective Clinical Research Report
Kong, De-Xian
Su, Xiao-feng
Zhao, Jing-wei
Chen, Lian
Meng, Ling-bing
Zhang, Zhen-xi
Yang, Sen
Zhang, Lei
Liu, Ya-bin
Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity
title Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity
title_full Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity
title_fullStr Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity
title_full_unstemmed Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity
title_short Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity
title_sort chinese men living in urban areas of shijiazhuang, hebei at higher risk of overweight or obesity
topic Prospective Clinical Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436783/
https://www.ncbi.nlm.nih.gov/pubmed/32809884
http://dx.doi.org/10.1177/0300060520945885
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