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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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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. |
format | Online Article Text |
id | pubmed-7436783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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