Wang Wei, Liu Yunning, Ye Pengpeng, Xu Chengdong, Qiu Yun, Yin Peng, Liu Jiangmei, Qi Jinlei, You Jinling, Lin Lin, Wang Lijun, Li Junming, Shi Wei, Zhou Maigeng
National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, China.
Lancet Reg Health West Pac. 2022 Apr 11;23:100451. doi: 10.1016/j.lanwpc.2022.100451. eCollection 2022 Jun.
Social determinants of health (SDOH) produce a broad range of life expectancy (LE) disparities. In China, limited literatures were found to report association between SDOH and LE at ecological level during a consecutive period of time from the spatial perspectives. This study aimed to determine the existence, quantify the magnitude, and interpret the association between SDOH and LE in China.
Provincial-level LE were estimated from mortality records during 2005-2020 from National Mortality Surveillance System in China. A spatial panel Durbin model was used to investigate LE associated SDOH proxies. Spatial spillover effects were introduced to interpret direct and indirect effects caused by SDOH during long-term and short-term period on LE disparities.
Nationwide, LE increased from 73.1 (95% confidence interval (CI): 71.3, 74.4) years to 77.7 (95%CI: 76.5, 78.7) years from 2005 to 2020. Unequally spatial distribution of LE with High-High clustering in coastal areas and Low-Low clustering in western regions were observed. Locally, it was estimated that SDOH proxies statistically significant related to an increase of LE, including GDP (coefficient: 0.02, 95%CI: 0.00, 0.03), Gini index (coefficient: 2.35, 95%CI: 1.82, 2.88), number of beds in health care institutions (coefficient: 0.02, 95%CI: 0.00, 0.05) and natural growth rate of resident population (coefficient: 0.02, 95%CI: 0.01, 0.02). Direct and indirect effects decomposition during long-term and short-term of LE associated SDOH proxies demonstrated that GDP, urbanization rate, unemployment rate, education attainment, Gini index, number of beds in health care institutions, sex ratio, gross dependence ratio and natural growth rate of resident population not only affected local LE, but also exerted spatial spillover effects towards geographical neighbors.
Spatial variations of LE existed at provincial-level in China. SDOH regarding socioeconomic development and equity, healthcare resources, as well as population characteristics not only affected LE disparities at local scale but also among nearby provinces. Externalities of policy of those SDOH proxies should be took into consideration to promote health equity nationally. Comprehensive approaches on the basis of population strategy should be consolidated to optimize supportive socioeconomic environment and narrow the regional gap to reduce health disparities and increase LE.
National Key Research & Development Program of China (Grant No.2018YFC1315301); Ministry of Education of China Humanities and Social Science General Program (Grant No.18YJC790138).
健康的社会决定因素(SDOH)导致了广泛的预期寿命(LE)差异。在中国,从空间视角来看,在一段连续时间内,关于SDOH与生态层面LE之间关联的文献报道有限。本研究旨在确定中国SDOH与LE之间关联的存在情况、量化其程度并进行解读。
利用中国国家死亡监测系统2005 - 2020年期间的死亡率记录估算省级层面的预期寿命。采用空间面板杜宾模型研究与预期寿命相关的SDOH代理变量。引入空间溢出效应来解释SDOH在长期和短期内对预期寿命差异所产生的直接和间接影响。
在全国范围内,预期寿命从2005年的73.1岁(95%置信区间(CI):71.3,74.4)增加到2020年的77.7岁(95%CI:76.5,78.7)。观察到预期寿命存在空间分布不均,沿海地区呈现高高聚集,西部地区呈现低低聚集。在局部层面,估计与预期寿命增加具有统计学显著相关性的SDOH代理变量包括国内生产总值(系数:0.02,95%CI:(0.00,0.03))、基尼系数(系数:2.35,95%CI:1.82,2.88)、医疗机构床位数(系数:0.02,95%CI:0.00,0.05)以及常住人口自然增长率(系数:0.02,95%CI:0.01,0.02)。与预期寿命相关的SDOH代理变量在长期和短期内的直接和间接效应分解表明,国内生产总值、城市化率、失业率、受教育程度、基尼系数、医疗机构床位数、性别比、总抚养比以及常住人口自然增长率不仅影响当地的预期寿命,还对地理上相邻地区产生空间溢出效应。
中国省级层面存在预期寿命的空间差异。关于社会经济发展与公平、医疗资源以及人口特征的SDOH不仅影响当地层面的预期寿命差异,也影响附近省份之间的差异。应考虑这些SDOH代理变量政策的外部性,以在全国范围内促进健康公平。应巩固基于人口战略的综合方法,以优化支持性社会经济环境,缩小地区差距,减少健康差异并提高预期寿命。
中国国家重点研发计划(项目编号:2018YFC1315301);中国教育部人文社会科学一般项目(项目编号:18YJC790138)