中国大陆地区老年人健康状况空间分布及社会经济影响因素

发布时间：2018-05-27 13:17

本文选题：健康状况 + 空间分布　；参考：《中国公共卫生》2017年04期

【摘要】：目的了解中国大陆31个省、自治区、直辖市老年人健康状况空间分布及社会经济影响因素,为制定相关政策提供参考依据。方法收集2010年第六次全国人口普查中老年人自评健康数据,分析老年人健康状况空间分布情况,并应用地理加权回归模型(GWR)分析其相关社会经济影响因素。结果中国大陆31个省、自治区、直辖市老年人健康状况分布存在一定的空间聚集性,以省际为单位计算全局空间自相关Moran's I指数为0.132(P0.05),局部空间自相关分析结果显示,省份自身及周边省份老年人健康平均分均高(高-高型)的热点区域为江苏、浙江和福建,自身及周边地区老年人健康平均分均低(低-低型)的冷点区域为新疆和西藏;地理加权回归分析结果显示,国内生产总值和医疗机构数是影响老年人健康状况的主要社会经济因素,调整R~2值为0.885,其中东部、中部、东北部和西部地区调整R~2值范围分别为0.822~0.878、0.828~0.866、0.890~0.907和0.852~0.941,东部和中部部分地区的调整R~2值低于西部和东北部;各区域国内生产总值和医疗机构数2个因素的β值范围分别为34.5~80.4和23.3~46.4。结论中国大陆31个省、自治区、直辖市老年人健康状况分布存在省际间的空间聚集,在不同区域内国内生产总值和医疗机构数对老年人健康状况的影响不同,可据此制定具有针对性的老年人健康促进策略。
[Abstract]:Objective to investigate the spatial distribution of health status of the elderly in 31 provinces, autonomous regions and municipalities directly under the Central Government in mainland China, and to provide references for making relevant policies. Methods the self-rated health data of the elderly in the sixth National population Census of 2010 were collected, and the spatial distribution of the health status of the elderly was analyzed, and the related social and economic factors were analyzed by using the geographical weighted regression model (GWR). Results the distribution of elderly health status in 31 provinces, autonomous regions and municipalities in mainland China had some spatial aggregation. The global spatial autocorrelation (Moran's I) index was 0.132% (P0.05), and the results of local spatial autocorrelation analysis showed that the spatial autocorrelation index was 0.132% (P < 0.05). Jiangsu, Zhejiang and Fujian are the hot spots where the average health score of the elderly is high (high type) in the provinces themselves and the surrounding provinces, and the cold spot areas with low average health scores (low type) in self and surrounding areas are Xinjiang and Tibet. The results of geographical weighted regression analysis showed that GDP and the number of medical institutions were the main social and economic factors affecting the health status of the elderly. The adjusted R2 values of northeast and western regions are 0.822 ~ 0.878t 0.8280.866U ~ 0.890 ~ (0.907) and 0.852n ~ (0.941) respectively, the values of R~ 2 in eastern and central regions are lower than those in western and northeast regions, and the 尾 value range of two factors of GDP and number of medical institutions in each region is 34.580.4 and 23.3 ~ 46.4respectively. Conclusion the distribution of the health status of the elderly in 31 provinces, autonomous regions and municipalities directly under the Central Government of mainland China has a spatial aggregation among provinces, and the effects of GDP and the number of medical institutions on the health status of the elderly are different in different regions. The health promotion strategy of the elderly can be formulated accordingly.
【作者单位】：福建医科大学公共卫生学院卫生管理学系;
【基金】：国家科技支撑计划(2012BAH06F05) 福建省中青年教师教育科研项目(JAS14142)
【分类号】：R161.7

【相似文献】