The effect of retirement on obesity in women: Evidence from China

INTRODUCTION: Retirement has been shown to impact individual health as an important life course, and we examined the impact of retirement on the prevalence of obesity in women based on a female perspective. METHODS: We use data from the five waves of the China Family Panel Study (CFPS) data from 201...

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Detalles Bibliográficos
Autores principales: Yang, Hua-Lei, Tao, Yi-Wen, Cheng, Si-Meng, Tang, Xiao-Qing, Cao, Jin-Yan, Shen, Dong-Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034638/
https://www.ncbi.nlm.nih.gov/pubmed/36969084
http://dx.doi.org/10.1016/j.ssmph.2023.101379
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author Yang, Hua-Lei
Tao, Yi-Wen
Cheng, Si-Meng
Tang, Xiao-Qing
Cao, Jin-Yan
Shen, Dong-Fei
author_facet Yang, Hua-Lei
Tao, Yi-Wen
Cheng, Si-Meng
Tang, Xiao-Qing
Cao, Jin-Yan
Shen, Dong-Fei
author_sort Yang, Hua-Lei
collection PubMed
description INTRODUCTION: Retirement has been shown to impact individual health as an important life course, and we examined the impact of retirement on the prevalence of obesity in women based on a female perspective. METHODS: We use data from the five waves of the China Family Panel Study (CFPS) data from 2010 to 2018, with the body mass index (BMI) as the obesity measure. Fuzzy regression discontinuity design (FRDD) is used to overcome the endogeneity of retirement behavior and obesity. RESULTS: After retirement, the obesity rate among women increased 23.8%–27.4% (p < 0.05). The mechanism is that the activity consumption has not changed significantly, but the energy intake has increased significantly. In addition, we found that the effect of retirement on female obesity was strong heterogeneity. CONCLUSIONS: The study found that retirement will increase the probability of obesity in women.
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spelling pubmed-100346382023-03-24 The effect of retirement on obesity in women: Evidence from China Yang, Hua-Lei Tao, Yi-Wen Cheng, Si-Meng Tang, Xiao-Qing Cao, Jin-Yan Shen, Dong-Fei SSM Popul Health Regular Article INTRODUCTION: Retirement has been shown to impact individual health as an important life course, and we examined the impact of retirement on the prevalence of obesity in women based on a female perspective. METHODS: We use data from the five waves of the China Family Panel Study (CFPS) data from 2010 to 2018, with the body mass index (BMI) as the obesity measure. Fuzzy regression discontinuity design (FRDD) is used to overcome the endogeneity of retirement behavior and obesity. RESULTS: After retirement, the obesity rate among women increased 23.8%–27.4% (p < 0.05). The mechanism is that the activity consumption has not changed significantly, but the energy intake has increased significantly. In addition, we found that the effect of retirement on female obesity was strong heterogeneity. CONCLUSIONS: The study found that retirement will increase the probability of obesity in women. Elsevier 2023-03-16 /pmc/articles/PMC10034638/ /pubmed/36969084 http://dx.doi.org/10.1016/j.ssmph.2023.101379 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Yang, Hua-Lei
Tao, Yi-Wen
Cheng, Si-Meng
Tang, Xiao-Qing
Cao, Jin-Yan
Shen, Dong-Fei
The effect of retirement on obesity in women: Evidence from China
title The effect of retirement on obesity in women: Evidence from China
title_full The effect of retirement on obesity in women: Evidence from China
title_fullStr The effect of retirement on obesity in women: Evidence from China
title_full_unstemmed The effect of retirement on obesity in women: Evidence from China
title_short The effect of retirement on obesity in women: Evidence from China
title_sort effect of retirement on obesity in women: evidence from china
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034638/
https://www.ncbi.nlm.nih.gov/pubmed/36969084
http://dx.doi.org/10.1016/j.ssmph.2023.101379
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