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, and little is known about the effect of both physical inactivity and obesity on OOPE across the percentile distribution. This study a...

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Main Authors: Zhao, Yang, He, Li, Marthias, Tiara, Ishida, Marie, Anindya, Kanya, Desloge, Allissa, D'Souza, Monique, Cao, Gaofang, Lee, John Tayu
Format: Article PeerReviewed
Language:English
Published: S. Karger AG 2022
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Online Access:https://repository.ugm.ac.id/283642/1/Add_Yang%20Zhao_Out%20of%20pocket%20expenditure.pdf
https://repository.ugm.ac.id/283642/
https://karger.com/ofa/article/15/3/416/825728
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spelling id-ugm-repo.2836422023-11-21T08:16:48Z https://repository.ugm.ac.id/283642/ Out-Of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight, and Obesity in China: Quantile Regression Approach Zhao, Yang He, Li Marthias, Tiara Ishida, Marie Anindya, Kanya Desloge, Allissa D'Souza, Monique Cao, Gaofang Lee, John Tayu Human Movement and Sports Science Exercise Physiology Introduction: Previous studies exploring associations of physical inactivity, obesity, and out-of-pocket expenditure (OOPE) mainly used traditional linear regression, and 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 were small at the bottom quantiles but more pronounced at higher quantiles. Respondents with low-level activity had an increased annual OOPE of 26.9 USD, 150.3 USD, and 1,534.4 USD, 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 behaviors among people with obesity and physical inactivity are likely to yield substantial financial gains for the individual and health systems in China. S. Karger AG 2022-05 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/283642/1/Add_Yang%20Zhao_Out%20of%20pocket%20expenditure.pdf Zhao, Yang and He, Li and Marthias, Tiara and Ishida, Marie and Anindya, Kanya and Desloge, Allissa and D'Souza, Monique and Cao, Gaofang and Lee, John Tayu (2022) Out-Of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight, and Obesity in China: Quantile Regression Approach. Obesity Facts, 15 (3). pp. 416-427. ISSN 16624025 https://karger.com/ofa/article/15/3/416/825728 10.1159/000522433
institution Universitas Gadjah Mada
building UGM Library
continent Asia
country Indonesia
Indonesia
content_provider UGM Library
collection Repository Civitas UGM
language English
topic Human Movement and Sports Science
Exercise Physiology
spellingShingle Human Movement and Sports Science
Exercise Physiology
Zhao, Yang
He, Li
Marthias, Tiara
Ishida, Marie
Anindya, Kanya
Desloge, Allissa
D'Souza, Monique
Cao, Gaofang
Lee, John Tayu
Out-Of-Pocket Expenditure Associated with Physical Inactivity, Excessive Weight, and Obesity in China: Quantile Regression Approach
description Introduction: Previous studies exploring associations of physical inactivity, obesity, and out-of-pocket expenditure (OOPE) mainly used traditional linear regression, and 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 were small at the bottom quantiles but more pronounced at higher quantiles. Respondents with low-level activity had an increased annual OOPE of 26.9 USD, 150.3 USD, and 1,534.4 USD, 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 behaviors among people with obesity and physical inactivity are likely to yield substantial financial gains for the individual and health systems in China.
format Article
PeerReviewed
author Zhao, Yang
He, Li
Marthias, Tiara
Ishida, Marie
Anindya, Kanya
Desloge, Allissa
D'Souza, Monique
Cao, Gaofang
Lee, John Tayu
author_facet Zhao, Yang
He, Li
Marthias, Tiara
Ishida, Marie
Anindya, Kanya
Desloge, Allissa
D'Souza, Monique
Cao, Gaofang
Lee, John Tayu
author_sort Zhao, Yang
title 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_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_sort out-of-pocket expenditure associated with physical inactivity, excessive weight, and obesity in china: quantile regression approach
publisher S. Karger AG
publishDate 2022
url https://repository.ugm.ac.id/283642/1/Add_Yang%20Zhao_Out%20of%20pocket%20expenditure.pdf
https://repository.ugm.ac.id/283642/
https://karger.com/ofa/article/15/3/416/825728
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