School of Geographical Sciences, University of Bristol, University Road, Bristol BS8 1SS, UK.
Health Place. 2013 Sep;23:148-56. doi: 10.1016/j.healthplace.2013.07.001. Epub 2013 Jul 17.
This study examines the geographical variations of self-rated health of the elderly based on the 2008 Chinese Longitudinal Healthy Longevity Survey. Multilevel logistic models are employed to estimate how individual, family, and institutional factors affect the health of the elderly at both individual and province levels. Results show that while individual characteristics help to explain self-rated health, the family remains an important determinant. Those with nobody to care for them, those in poverty and those who have to rely on medical insurance report the worst health. The role of the state is relatively limited in contributing to the health of the elderly. There are substantial between province differences.
本研究基于 2008 年中国健康长寿纵向研究，考察了老年人自评健康的地域差异。采用多水平逻辑斯蒂模型估计个体和省级层面上个体、家庭和机构因素如何影响老年人的健康。结果表明，尽管个体特征有助于解释自评健康，但家庭仍然是一个重要的决定因素。那些无人照顾、贫困和依赖医疗保险的人报告的健康状况最差。国家在促进老年人健康方面的作用相对有限。各省份之间存在显著差异。
