Unknown

Dataset Information

0

Health of midlife and older adults in China: the role of regional economic development, inequality, and institutional setting.


ABSTRACT:

Objectives

To document the association between economic development, income inequality, and health-related public infrastructure, and health outcomes among Chinese adults in midlife and older age.

Methods

We use a series of multi-level regression models with individual-level baseline data from the China Health and Retirement Longitudinal Survey (CHARLS). Provincial-level data are obtained both from official statistics and from CHARLS itself. Multi-level models are estimated with different subjective and objective health outcomes.

Results

Economic growth is associated with better self-rated health, but also with obesity. Better health infrastructure tends to be negatively associated with health outcomes, indicating the likely presence of reverse causality. No supportive evidence is found for the hypothesis that income inequality leads to worse health outcomes.

Conclusions

Our study shows that on top of individual characteristics, provincial variations in economic development, income inequality, and health infrastructure are associated with a range of health outcomes for Chinese midlife and older adults. Economic development in China might also bring adverse health outcomes for this age group; as such specific policy responses need to be developed.

SUBMITTER: Ding X 

PROVIDER: S-EPMC5641278 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Health of midlife and older adults in China: the role of regional economic development, inequality, and institutional setting.

Ding Xuejie X   Billari Francesco C FC   Gietel-Basten Stuart S  

International journal of public health 20170422 8


<h4>Objectives</h4>To document the association between economic development, income inequality, and health-related public infrastructure, and health outcomes among Chinese adults in midlife and older age.<h4>Methods</h4>We use a series of multi-level regression models with individual-level baseline data from the China Health and Retirement Longitudinal Survey (CHARLS). Provincial-level data are obtained both from official statistics and from CHARLS itself. Multi-level models are estimated with d  ...[more]

Similar Datasets

| S-EPMC10624124 | biostudies-literature
| S-EPMC9977031 | biostudies-literature
| S-EPMC8105541 | biostudies-literature
| S-EPMC11316907 | biostudies-literature
| S-EPMC10724292 | biostudies-literature
| S-EPMC9489784 | biostudies-literature
| S-EPMC9020288 | biostudies-literature
| S-EPMC10936856 | biostudies-literature
| S-EPMC7274021 | biostudies-literature
| S-EPMC6988248 | biostudies-literature