Out-of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight and Obesity in China: Quantile Regression Approach

Introduction: Previous studies exploring associations of physical inactivity, obesity and out-of-pocket expenditure (OOPE) mainly used traditional linear regression, little is known about the effect of both physical inactivity and obesity on OOPE across the percentile distribution. This study aims t...

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Main Authors: Yang Zhao, Li He, Tiara Marthias, Marie Ishida, Kanya Anindya, Allissa Desloge, Monique D'Souza, Gaofang Cao, John Tayu Lee
Format: Article
Language:English
Published: Karger Publishers 2022-03-01
Series:Obesity Facts
Online Access:https://www.karger.com/Article/FullText/522433
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author Yang Zhao
Li He
Tiara Marthias
Marie Ishida
Kanya Anindya
Allissa Desloge
Monique D'Souza
Gaofang Cao
John Tayu Lee
author_facet Yang Zhao
Li He
Tiara Marthias
Marie Ishida
Kanya Anindya
Allissa Desloge
Monique D'Souza
Gaofang Cao
John Tayu Lee
author_sort Yang Zhao
collection DOAJ
description Introduction: Previous studies exploring associations of physical inactivity, obesity and out-of-pocket expenditure (OOPE) mainly used traditional linear regression, little is known about the effect of both physical inactivity and obesity on OOPE across the percentile distribution. This study aims to assess the effects of physical inactivity and obesity on OOPE in China using a quantile regression approach. Methods: Study participants included 10,687 respondents aged 45 years and older from the recent wave of the China Health and Retirement Longitudinal Study in 2015. Linear regression and quantile regression models were used to examine the association of physical activity, body weight with annual OOPE. Results: Overall, the proportion of overweight and obesity was 33.2% and 5.8%, respectively. The proportion of individuals performing high-level, moderate-level and low-level physical activity was 55.2%, 12.7% and 32.1%, respectively. The effects of low-level physical activity on annual OOPE was small at the bottom quantiles but more pronounced at higher quantiles. Respondents with low-level activity had an increased annual OOPE of 26.9 US$, 150.3 US$, 1534.4 US$, at the 10th, 50th, and 90th percentiles, respectively, compared with those with high-level activity. The effects of overweight and obesity on OOPE were also small at the bottom quantiles but more pronounced at higher quantiles. Conclusion: Interventions that improve the lifestyles and unhealthy behaviours among people with obesity and physical inactivity are likely to yield substantial financial gains for the individual and health systems in China.
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spelling doaj.art-49b8b14ec3c94fef8fc70f241447ac802022-12-22T00:33:05ZengKarger PublishersObesity Facts1662-40251662-40332022-03-0110.1159/000522433522433Out-of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight and Obesity in China: Quantile Regression ApproachYang Zhaohttps://orcid.org/0000-0002-6011-5948Li HeTiara MarthiasMarie IshidaKanya Anindyahttps://orcid.org/0000-0001-6832-0412Allissa DeslogeMonique D'SouzaGaofang CaoJohn Tayu LeeIntroduction: Previous studies exploring associations of physical inactivity, obesity and out-of-pocket expenditure (OOPE) mainly used traditional linear regression, little is known about the effect of both physical inactivity and obesity on OOPE across the percentile distribution. This study aims to assess the effects of physical inactivity and obesity on OOPE in China using a quantile regression approach. Methods: Study participants included 10,687 respondents aged 45 years and older from the recent wave of the China Health and Retirement Longitudinal Study in 2015. Linear regression and quantile regression models were used to examine the association of physical activity, body weight with annual OOPE. Results: Overall, the proportion of overweight and obesity was 33.2% and 5.8%, respectively. The proportion of individuals performing high-level, moderate-level and low-level physical activity was 55.2%, 12.7% and 32.1%, respectively. The effects of low-level physical activity on annual OOPE was small at the bottom quantiles but more pronounced at higher quantiles. Respondents with low-level activity had an increased annual OOPE of 26.9 US$, 150.3 US$, 1534.4 US$, at the 10th, 50th, and 90th percentiles, respectively, compared with those with high-level activity. The effects of overweight and obesity on OOPE were also small at the bottom quantiles but more pronounced at higher quantiles. Conclusion: Interventions that improve the lifestyles and unhealthy behaviours among people with obesity and physical inactivity are likely to yield substantial financial gains for the individual and health systems in China.https://www.karger.com/Article/FullText/522433
spellingShingle Yang Zhao
Li He
Tiara Marthias
Marie Ishida
Kanya Anindya
Allissa Desloge
Monique D'Souza
Gaofang Cao
John Tayu Lee
Out-of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight and Obesity in China: Quantile Regression Approach
Obesity Facts
title Out-of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight and Obesity in China: Quantile Regression Approach
title_full Out-of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight and Obesity in China: Quantile Regression Approach
title_fullStr Out-of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight and Obesity in China: Quantile Regression Approach
title_full_unstemmed Out-of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight and Obesity in China: Quantile Regression Approach
title_short Out-of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight and Obesity in China: Quantile Regression Approach
title_sort out of pocket expenditure associated with physical inactivity excessive weight and obesity in china quantile regression approach
url https://www.karger.com/Article/FullText/522433
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