The effects of economic development and built environment on diabetes in China

Abstract Background With rapid economy growth, the prevalence of obesity, and related chronic diseases, has increased greatly. Although this has been widely recognized, little attention has been paid to the influence of built environment and economic growth, particularly for developing countries. Th...

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Main Author: Tao Zhang
Format: Article
Language:English
Published: BMC 2017-09-01
Series:Population Health Metrics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12963-017-0152-2
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spelling doaj-3bc9bb4acd4846a797d7c54a276136f82020-11-24T21:30:09ZengBMCPopulation Health Metrics1478-79542017-09-0115111010.1186/s12963-017-0152-2The effects of economic development and built environment on diabetes in ChinaTao Zhang0School of Public Administration, Macao Polytechnic InstituteAbstract Background With rapid economy growth, the prevalence of obesity, and related chronic diseases, has increased greatly. Although this has been widely recognized, little attention has been paid to the influence of built environment and economic growth, particularly for developing countries. The main purpose of this study is to investigate the potential relationship between the prevalence of diabetes and the built environment while considering the effects of socioeconomic change in China. Methods Three nationally representative samples are constructed and employed mainly based on various sources of data, such as the China National Nutrition and Health Survey, World Health Organization, and China Health and Retirement Longitudinal Survey in 2013. The explanatory variables representing the built environment and influential factors include the health outcomes, economic indicators, local health facilities, regional dummies, and demographic features. OLS, robust regressions, and a set of binary choice models are used to estimate the possible relationship. Results It is suggested that the prevalence of diabetes is associated with both the broader built environment and individual economic factors in China. China’s sharp economic growth in the recent decades has greatly increased the prevalence of obesity and diabetes, when also considering other influential factors. Conclusions Although the results can not specify causal mechanism, some useful results can be clearly discovered and subsequently a few important policy implications can be provided for the sustainable and healthy development of China’s urban planning or built environment.http://link.springer.com/article/10.1186/s12963-017-0152-2Built environmentDiabetesEstimationObesityRegressionChina
collection DOAJ
language English
format Article
sources DOAJ
author Tao Zhang
spellingShingle Tao Zhang
The effects of economic development and built environment on diabetes in China
Population Health Metrics
Built environment
Diabetes
Estimation
Obesity
Regression
China
author_facet Tao Zhang
author_sort Tao Zhang
title The effects of economic development and built environment on diabetes in China
title_short The effects of economic development and built environment on diabetes in China
title_full The effects of economic development and built environment on diabetes in China
title_fullStr The effects of economic development and built environment on diabetes in China
title_full_unstemmed The effects of economic development and built environment on diabetes in China
title_sort effects of economic development and built environment on diabetes in china
publisher BMC
series Population Health Metrics
issn 1478-7954
publishDate 2017-09-01
description Abstract Background With rapid economy growth, the prevalence of obesity, and related chronic diseases, has increased greatly. Although this has been widely recognized, little attention has been paid to the influence of built environment and economic growth, particularly for developing countries. The main purpose of this study is to investigate the potential relationship between the prevalence of diabetes and the built environment while considering the effects of socioeconomic change in China. Methods Three nationally representative samples are constructed and employed mainly based on various sources of data, such as the China National Nutrition and Health Survey, World Health Organization, and China Health and Retirement Longitudinal Survey in 2013. The explanatory variables representing the built environment and influential factors include the health outcomes, economic indicators, local health facilities, regional dummies, and demographic features. OLS, robust regressions, and a set of binary choice models are used to estimate the possible relationship. Results It is suggested that the prevalence of diabetes is associated with both the broader built environment and individual economic factors in China. China’s sharp economic growth in the recent decades has greatly increased the prevalence of obesity and diabetes, when also considering other influential factors. Conclusions Although the results can not specify causal mechanism, some useful results can be clearly discovered and subsequently a few important policy implications can be provided for the sustainable and healthy development of China’s urban planning or built environment.
topic Built environment
Diabetes
Estimation
Obesity
Regression
China
url http://link.springer.com/article/10.1186/s12963-017-0152-2
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AT taozhang effectsofeconomicdevelopmentandbuiltenvironmentondiabetesinchina
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