Urban-Rural Health Disparities at Older Ages

2021 ◽  
pp. 5326-5332
Author(s):  
Steven A. Cohen ◽  
Mary L. Greaney
2017 ◽  
Vol 23 (8) ◽  
pp. e2073 ◽  
Author(s):  
Rebecca Allan ◽  
Paul Williamson ◽  
Hill Kulu

Author(s):  
Jian Zhang ◽  
Dan Li ◽  
Jianmin Gao

Background: China is becoming an aging society, and the proportion of the population aged 60 years and above is increasing. There is a dualistic urban–rural economic structure between urban and rural areas in China, but there are few comparative health studies on the self-assessed health (SAH) status of the elderly between urban and rural areas. The aim of this study is to explore the SAH status of the elderly in China, and to identify the health disparity between the urban and rural elderly. Methods: The data from the fourth wave of the China Health and Retirement Longitudinal Study (CHARLS) in 2018 were adopted. A total of 9630 participants aged 60 and above were included in this study. SAH was used as the indicator, measuring the health status. Fairlie decomposition analysis was conducted to find the SAH disparity. Results: The proportion of good SAH of the rural elderly (24.01%) was significantly higher than the urban elderly (19.99%). The association of SAH was widely different between the rural and urban elderly. There was a stronger association between SAH and sleeping time in the urban elderly (Odds ratios (OR) = 3.347 of 4–8 hours; OR = 3.337 of above 8 hours) than the rural elderly (OR = 1.630 of 4–8 hours; OR = 2.293 of above 8 hours). Smoking and social activity were significant only in the urban elderly, while region and assets were significant only in the rural elderly. Drinking (11.45%), region (−33.92%), and assets (73.50%) were the main factors contributing to the urban–rural health disparities. Conclusions: This is the first comparative study examining SAH disparity, focusing on the elderly aged 60 and above in China. From the perspective of drinking, region, and assets, our study highlighted substantial urban–rural health disparities, and provided evidence for policy making on narrowing the health gap between urban and rural areas in China.


2017 ◽  
Author(s):  
Nathan J Doogan ◽  
Megan E Roberts ◽  
Mary Ellen Wewers ◽  
Erin R Tanenbaum ◽  
Elizabeth A Mumford ◽  
...  

The purpose of this study was to develop and test a new continuous measure for rural health disparities research to characterize geographic areas according to a perspective of access to resources. We call the measure Isolation and anticipate it will be useful as an alternative to commonly used rural classification schemes (e.g., the Census Bureau's measure). Following the best known standards for measuring rurality, it captures the trade-off between access to resource-rich, high-population-density areas and the cost of travel to those areas; thus even intrinsically low-resource areas may have high access to nearby resources. Validity was tested with proxies such as nighttime outdoor lights, distance to hospitals, physician availability, and access to high quality food. The Isolation scale demonstrated good construct validity (i.e., both convergent and criterion validity). Fit statistics indicated that, compared to other commonly-used urban/rural definitions, the Isolation scale was the best overall measure when predicting several proxies for rurality, even when categorized. We also show that the measure does a substantially better job at explaining national health outcome data at the state level. This new continuous Isolation scale shows considerable promise for improving our conceptualization, theorization, and measurement of the features of rurality that are pertinent to rural health disparities research, and can also be useful to policy makers who may find value in using isolation thresholds that are most relevant to their policy planning needs.


Medical Care ◽  
2009 ◽  
Vol 47 (12) ◽  
pp. 1209-1216 ◽  
Author(s):  
Hai Fang ◽  
Jie Chen ◽  
John A. Rizzo

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