School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.
Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China.
Int J Environ Res Public Health. 2020 Feb 4;17(3):955. doi: 10.3390/ijerph17030955.
China's older rural-to-urban migrant workers (age 50 and above) are growing old, but comparative health research on older rural-to-urban migrants in China is still in its infancy. The aim is to explore the health status of older rural-to-urban migrant workers in China; as well as to identify health disparity between older rural-to-urban migrant workers and older rural dwellers. This study employed self-assessed health status (SAH) and chronic disease condition to explore the health status. Coarsened exact matching (CEM) was employed to improve estimation of causal effects. Fairlie's decomposition analysis was conducted to find the health disparity. Older rural-to-urban migrant workers were more prone to suffer from chronic diseases, but they had higher SAH when comparing older rural dwellers. Fairlie's decomposition analysis indicated 10.44% of SAH disparities between two older groups can be traced to bath facility; 31.34% of chronic diseases disparities can be traced to educational attainment, sleeping time and medical scheme. This is the first comparative study examining health disparity focusing on older rural-to-urban migrant workers. Our study highlighted substantial health disparities between older rural-to-urban migrant workers and their older rural dwellers. Based on the contributing factors, government should take the drivers of health disparities into consideration in policy setting.
中国的老一代农村到城市的流动人口（50 岁及以上）正在变老，但关于中国老一代农村到城市流动人口的健康比较研究仍处于起步阶段。本研究旨在探讨中国老一代农村到城市流动人口的健康状况；以及识别老一代农村到城市流动人口和老一代农村居民之间的健康差距。本研究采用自我评估健康状况（SAH）和慢性病状况来探讨健康状况。采用粗化精确匹配（CEM）来提高因果效应的估计。进行 Fairlie 分解分析以发现健康差距。老一代农村到城市流动人口更容易患慢性病，但与老一代农村居民相比，他们的 SAH 更高。Fairlie 分解分析表明，两组老年人之间的 SAH 差距有 10.44%可以追溯到洗浴设施；31.34%的慢性病差距可以追溯到受教育程度、睡眠时间和医疗方案。这是第一项针对老一代农村到城市流动人口的健康差距比较研究。我们的研究强调了老一代农村到城市流动人口和他们的老一代农村居民之间存在实质性的健康差距。基于这些影响因素，政府在制定政策时应考虑健康差距的驱动因素。
