Village characteristics and health of rural Chinese older adults: Examining the CHARLS Pilot Study of a rich and poor province

Community (or village) characteristics have received growing attention as researchers have sought factors affecting health. This study examines the association between a variety of environmental, economic, and social village characteristics and health of Chinese older rural adults with health measured in terms of physical limitations. The Chinese Health and Retirement Longitudinal Survey (CHARLS) Pilot Study data were used. Older villagers from a low-income province (Gansu) and a relatively wealthy province (Zhejiang) were surveyed between July and September, 2008. The sample included 1267 respondents in 73 villages age 45 and older. The relationship between a variety of village characteristics and physical limitations of older adults was examined using negative binomial regression (NBR) with standard errors a djusted to account for non-independence of respondents in a village. A comparison of means/percentages shows that Gansu and Zhejiang were significantly different on the dependent and most independent variables. The NBR models show that at the personal-level, decreased risk of physical limitations was associated with being male, less than 60 years old, married, higher in education, and higher in household expenditures (proxy for income). At the village-level, decreased risk of limitations was associated with a continuous supply of electricity, not using coal in the household, the existence of a sewage system, low cost of electricity, and village wealth. Decreased risk of physical limitations was also associated with various characteristics of China's New Cooperative Medical Scheme (NCMS), an insurance program for rural older adults. Policy implications for improved health of rural older adults include: (1) continued use of China's NCMS, (2) establishment of village sewage systems, (3) ending the use of coal in the home, and (4) increased educational opportunities focused on health. © 2013 Elsevier Ltd.Link_to_subscribed_fulltex