Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in China

Abstract 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 elder...

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Main Authors: Lin Zhang, Kun Liu, Hong Li, Dan Li, Zhuo Chen, Li-li Zhang, Lei-lei Guo
Format: Article
Language:English
Published: BMC 2016-11-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-016-3864-5
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spelling doaj-2b0187d758d14cc7849736812ba72f0d2020-11-24T22:59:56ZengBMCBMC Public Health1471-24582016-11-0116111510.1186/s12889-016-3864-5Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in ChinaLin Zhang0Kun Liu1Hong Li2Dan Li3Zhuo Chen4Li-li Zhang5Lei-lei Guo6Department of Community Nursing, School of Nursing, Jinzhou Medical UniversityDepartment of Community Nursing, School of Nursing, Jinzhou Medical UniversityDepartment of Surgical Nursing, School of Nursing, Jinzhou Medical UniversityDepartment of Experimental Center, School of Nursing, Jinzhou Medical UniversityDepartment of Community Nursing, School of Nursing, Jinzhou Medical UniversityDepartment of Surgery, Third Affiliated Hospital of Jinzhou Medical UniversityDepartment of Surgical Nursing, School of Nursing, Jinzhou Medical UniversityAbstract 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.http://link.springer.com/article/10.1186/s12889-016-3864-5Body mass indexDepressive symptomsFat and jollyMiddle-aged and elderlyObesity
collection DOAJ
language English
format Article
sources DOAJ
author Lin Zhang
Kun Liu
Hong Li
Dan Li
Zhuo Chen
Li-li Zhang
Lei-lei Guo
spellingShingle Lin Zhang
Kun Liu
Hong Li
Dan Li
Zhuo Chen
Li-li Zhang
Lei-lei Guo
Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in China
BMC Public Health
Body mass index
Depressive symptoms
Fat and jolly
Middle-aged and elderly
Obesity
author_facet Lin Zhang
Kun Liu
Hong Li
Dan Li
Zhuo Chen
Li-li Zhang
Lei-lei Guo
author_sort Lin Zhang
title 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_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_sort relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in china
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2016-11-01
description Abstract 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.
topic Body mass index
Depressive symptoms
Fat and jolly
Middle-aged and elderly
Obesity
url http://link.springer.com/article/10.1186/s12889-016-3864-5
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