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Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in China
BACKGROUND: Obesity has been identified as a worldwide epidemic. In China, the highest prevalence of obesity is observed in adults aged ≥45 years old. This study aimed to describe the association between BMI and depressive symptoms among a large representative sample of middle-aged and elderly in Ch...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5126817/ https://www.ncbi.nlm.nih.gov/pubmed/27894296 http://dx.doi.org/10.1186/s12889-016-3864-5 |
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author | Zhang, Lin Liu, Kun Li, Hong Li, Dan Chen, Zhuo Zhang, Li-li Guo, Lei-lei |
author_facet | Zhang, Lin Liu, Kun Li, Hong Li, Dan Chen, Zhuo Zhang, Li-li Guo, Lei-lei |
author_sort | Zhang, Lin |
collection | PubMed |
description | BACKGROUND: Obesity has been identified as a worldwide epidemic. In China, the highest prevalence of obesity is observed in adults aged ≥45 years old. This study aimed to describe the association between BMI and depressive symptoms among a large representative sample of middle-aged and elderly in China. METHOD: A longitudinal sample of the middle-aged and elderly (6,224 males and 6,883 females) who were interviewed in the 2011 China Health and Retirement Longitudinal Study was used. A multivariate logistic regression analysis was used to examine the effects of socio-demographic characteristics, lifestyle, activity status, health status, physical exercise and body weight on depressive symptoms. RESULTS: Approximately 6.94% of the males were underweight, 25.48% were overweight and 8.16% were obese. A higher prevalence of obesity was found among women, with 6.89% being underweight, 31.98% overweight and 14.28% obese. The underweight subjects were more likely to be depressed (odds ratio; OR = 1.30 and 1.19) compared with the normal weight people, respectively, whereas overweight and obese men and women were less likely to be depressed (overweight: OR = 0.76 and 0.80; obesity: OR = 0.64 and 0.65, respectively) than people of normal weight. CONCLUSION: Our data are consistent with the “fat and jolly” hypothesis being valid in both middle-aged and elderly men and women. |
format | Online Article Text |
id | pubmed-5126817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-51268172016-12-08 Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in China Zhang, Lin Liu, Kun Li, Hong Li, Dan Chen, Zhuo Zhang, Li-li Guo, Lei-lei BMC Public Health Research Article BACKGROUND: Obesity has been identified as a worldwide epidemic. In China, the highest prevalence of obesity is observed in adults aged ≥45 years old. This study aimed to describe the association between BMI and depressive symptoms among a large representative sample of middle-aged and elderly in China. METHOD: A longitudinal sample of the middle-aged and elderly (6,224 males and 6,883 females) who were interviewed in the 2011 China Health and Retirement Longitudinal Study was used. A multivariate logistic regression analysis was used to examine the effects of socio-demographic characteristics, lifestyle, activity status, health status, physical exercise and body weight on depressive symptoms. RESULTS: Approximately 6.94% of the males were underweight, 25.48% were overweight and 8.16% were obese. A higher prevalence of obesity was found among women, with 6.89% being underweight, 31.98% overweight and 14.28% obese. The underweight subjects were more likely to be depressed (odds ratio; OR = 1.30 and 1.19) compared with the normal weight people, respectively, whereas overweight and obese men and women were less likely to be depressed (overweight: OR = 0.76 and 0.80; obesity: OR = 0.64 and 0.65, respectively) than people of normal weight. CONCLUSION: Our data are consistent with the “fat and jolly” hypothesis being valid in both middle-aged and elderly men and women. BioMed Central 2016-11-29 /pmc/articles/PMC5126817/ /pubmed/27894296 http://dx.doi.org/10.1186/s12889-016-3864-5 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zhang, Lin Liu, Kun Li, Hong Li, Dan Chen, Zhuo Zhang, Li-li Guo, Lei-lei Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in China |
title | Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in China |
title_full | Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in China |
title_fullStr | Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in China |
title_full_unstemmed | Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in China |
title_short | Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in China |
title_sort | relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5126817/ https://www.ncbi.nlm.nih.gov/pubmed/27894296 http://dx.doi.org/10.1186/s12889-016-3864-5 |
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