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Association between obesity and sickness in the past two weeks among middle-aged and elderly women: A cross-sectional study in Southern China

OBJECTIVES: Sickness situation in the past two weeks, an indicator of health service needs, is an increasing major health concern. However, data on the relationship between obesity and two-week morbidity in the female population, particularly in middle-aged and elderly women, is sparse. The present...

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Autores principales: Fu, Li-Ying, Wang, Xiao-Xiao, Wu, Xiao, Li, Bo, Huang, Ling-Ling, Li, Bing-Bing, Du, Qing-Feng, Wang, Pei-Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112645/
https://www.ncbi.nlm.nih.gov/pubmed/30153292
http://dx.doi.org/10.1371/journal.pone.0203034
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author Fu, Li-Ying
Wang, Xiao-Xiao
Wu, Xiao
Li, Bo
Huang, Ling-Ling
Li, Bing-Bing
Du, Qing-Feng
Wang, Pei-Xi
author_facet Fu, Li-Ying
Wang, Xiao-Xiao
Wu, Xiao
Li, Bo
Huang, Ling-Ling
Li, Bing-Bing
Du, Qing-Feng
Wang, Pei-Xi
author_sort Fu, Li-Ying
collection PubMed
description OBJECTIVES: Sickness situation in the past two weeks, an indicator of health service needs, is an increasing major health concern. However, data on the relationship between obesity and two-week morbidity in the female population, particularly in middle-aged and elderly women, is sparse. The present study aimed to examine the association between obesity and two-week morbidity among middle-aged and elderly women in Southern China, and to explore the independent contributions of socio-demographic variables, health-related factors, and obesity to two-week morbidity. METHODS: In total, 2364 middle-aged and elderly women were included in this cross-sectional, community-based survey. Obesity was assessed using body mass index (BMI). The outcome variable was sickness situation over the past two weeks (two-week morbidity). Clustered logistic regression was applied to analyze the independent contribution of obesity to two-week morbidity. RESULTS: Approximately 14.6% of participants experienced sickness in the past two weeks. Obesity (odds ratio [OR] = 1.47, 95% confidence interval [CI] = 1.02–2.12) was significantly associated with two-week morbidity and its independent contribution accounted for 3.7%, lower than that of socio-demographic variables (73.7%) and health-related factors(22.6%). CONCLUSIONS: Some degree of correlation was observed between obesity and two-week morbidity among middle-aged and elderly women in Southern China, which can be used as a reference for health-related decision-making.
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spelling pubmed-61126452018-09-17 Association between obesity and sickness in the past two weeks among middle-aged and elderly women: A cross-sectional study in Southern China Fu, Li-Ying Wang, Xiao-Xiao Wu, Xiao Li, Bo Huang, Ling-Ling Li, Bing-Bing Du, Qing-Feng Wang, Pei-Xi PLoS One Research Article OBJECTIVES: Sickness situation in the past two weeks, an indicator of health service needs, is an increasing major health concern. However, data on the relationship between obesity and two-week morbidity in the female population, particularly in middle-aged and elderly women, is sparse. The present study aimed to examine the association between obesity and two-week morbidity among middle-aged and elderly women in Southern China, and to explore the independent contributions of socio-demographic variables, health-related factors, and obesity to two-week morbidity. METHODS: In total, 2364 middle-aged and elderly women were included in this cross-sectional, community-based survey. Obesity was assessed using body mass index (BMI). The outcome variable was sickness situation over the past two weeks (two-week morbidity). Clustered logistic regression was applied to analyze the independent contribution of obesity to two-week morbidity. RESULTS: Approximately 14.6% of participants experienced sickness in the past two weeks. Obesity (odds ratio [OR] = 1.47, 95% confidence interval [CI] = 1.02–2.12) was significantly associated with two-week morbidity and its independent contribution accounted for 3.7%, lower than that of socio-demographic variables (73.7%) and health-related factors(22.6%). CONCLUSIONS: Some degree of correlation was observed between obesity and two-week morbidity among middle-aged and elderly women in Southern China, which can be used as a reference for health-related decision-making. Public Library of Science 2018-08-28 /pmc/articles/PMC6112645/ /pubmed/30153292 http://dx.doi.org/10.1371/journal.pone.0203034 Text en © 2018 Fu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fu, Li-Ying
Wang, Xiao-Xiao
Wu, Xiao
Li, Bo
Huang, Ling-Ling
Li, Bing-Bing
Du, Qing-Feng
Wang, Pei-Xi
Association between obesity and sickness in the past two weeks among middle-aged and elderly women: A cross-sectional study in Southern China
title Association between obesity and sickness in the past two weeks among middle-aged and elderly women: A cross-sectional study in Southern China
title_full Association between obesity and sickness in the past two weeks among middle-aged and elderly women: A cross-sectional study in Southern China
title_fullStr Association between obesity and sickness in the past two weeks among middle-aged and elderly women: A cross-sectional study in Southern China
title_full_unstemmed Association between obesity and sickness in the past two weeks among middle-aged and elderly women: A cross-sectional study in Southern China
title_short Association between obesity and sickness in the past two weeks among middle-aged and elderly women: A cross-sectional study in Southern China
title_sort association between obesity and sickness in the past two weeks among middle-aged and elderly women: a cross-sectional study in southern china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112645/
https://www.ncbi.nlm.nih.gov/pubmed/30153292
http://dx.doi.org/10.1371/journal.pone.0203034
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