School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China.
Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-Sen University, Guangzhou, China.
BMJ Open. 2019 Jun 24;9(6):e029176. doi: 10.1136/bmjopen-2019-029176.
This study investigated the association between urbanisation and self-rated health of older adults in China, particularly how different dimensions, rate and level of urbanisation are related to older people's health. Additionally, it examined the moderating effect of education on the association between each of the four dimensions of urbanisation and older people's health.
The study uses a cross-sectional survey design.
This study analysed 236 030 individuals (aged 60-79 years) nested within 267 prefecture-level cities from 2005 China's 1% population sample survey.
Self-rated health was the outcome variable. Four groups of predictors assessed prefectures' level and rate of urbanisation: land-use conversion, economic growth, population concentration and health services. Multilevel logistic regression was used to examine the association between self-rated health and the level and rate of urbanisation, after adjusting for individual-level covariates. Multiplicative interactions explored variations by education.
The odd of reporting fair or poor health was negatively associated with the level and rate of population concentration (OR 0.93,95%CI 0.87 to 0.99 and 0.74,95%CI 0.59 to 0.93, respectively) and positively associated with the level of health services (OR 1.12, 95% CI 1.06 to 1.19). Land-use conversion, economic growth and health service improvements (the forms of rate of urbanisation) were not significantly associated with self-rated health. Education had a moderating effect on the association between urbanisation and self-rated health.
Older people living in more densely populated areas and areas undergoing rapid population concentration were less likely to report fair or poor health. This result supports healthy migration and 'salmon bias' hypotheses. No urban health penalty was observed for the older adults in China; therefore, the following pathways linking urbanisation to health are unclear: lifestyle changes, environmental pollution and cultivated land reduction.
本研究调查了城市化与中国老年人自评健康之间的关系,特别是不同维度、城市化速度和水平与老年人健康的关系。此外,还考察了教育对城市化四个维度与老年人健康之间关系的调节作用。
本研究采用横断面调查设计。
本研究分析了嵌套在 2005 年中国 1%人口抽样调查中 267 个地级市内的 236030 名(60-79 岁)个体。
自评健康是因变量。四组预测因子评估了地级市的城市化水平和速度:土地利用转换、经济增长、人口集中和卫生服务。多水平逻辑回归用于调整个体水平协变量后,检验自评健康与城市化水平和速度之间的关联。乘法交互作用探索了教育的差异。
报告健康状况一般或较差的几率与人口集中水平(OR 0.93,95%CI 0.87 至 0.99)和速度(OR 0.74,95%CI 0.59 至 0.93)呈负相关,与卫生服务水平呈正相关(OR 1.12,95%CI 1.06 至 1.19)。土地利用转换、经济增长和卫生服务改善(城市化速度的形式)与自评健康无显著关联。教育对城市化与自评健康之间的关系具有调节作用。
生活在人口更密集地区和人口快速集中地区的老年人不太可能报告健康状况一般或较差。这一结果支持健康移民和“鲑鱼偏差”假说。在中国,老年人没有面临城市健康惩罚;因此,城市化与健康之间的以下关联途径尚不清楚:生活方式改变、环境污染和耕地减少。