| 赵亚楠,孙志明,张敏.江苏省1990-2020年县域人口老龄化空间流行病学特征分析[J].中华流行病学杂志,2023,44(8):1203-1208 |
| 江苏省1990-2020年县域人口老龄化空间流行病学特征分析 |
| Spatial-epidemiological analysis of population aging in counties in Jiangsu Province, 1990-2020 |
| 收稿日期:2022-11-30 出版日期:2023-08-18 |
| DOI：10.3760/cma.j.cn112338-20221130-01018 |
| 中文关键词: 空间流行病学 人口老龄化 地理信息系统 空间分析 |
| 英文关键词: Spatial epidemiology Population aging Geographical information system Spatial analysis |
| 基金项目:江苏省社科应用研究精品工程（22SYB-016）；江苏省卫生健康委员会科研项目（M2021024）；江苏省卫生健康发展研究中心开放课题（JSHD2021063）；2023年度江苏科技智库青年人才计划（JSKJZK2023085） |
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| 中文摘要: |
| 目的 分析1990-2020年江苏省县域水平人口老龄化时空演变趋势。方法 以江苏省各县域作为研究对象,选取第四次至第七次全国人口普查数据,以老龄化系数和老龄年龄集中率分别作为衡量人口老龄化程度的静态和动态指标,利用空间相关性分析方法,研究江苏省县域老龄化的时空格局及演变特征。结果 江苏省各县域的老龄化程度不断加深,老龄化程度从苏南地区高、苏北地区低逐渐演变为苏中地区高、苏南和苏北地区低,且呈现明显的空间聚集性。1990-2020年,江苏省人口老龄化进展速度不断加快,其中2010-2020年老龄化进展速度最快。结论 1990-2020年江苏省人口老龄化程度不断加深,以近10年的进展最快,且呈明显的空间聚集性。 |
| 英文摘要: |
| Objective To analyze the space-time evolution trend of population aging at the county level in Jiangsu Province from 1990 to 2020. Methods Taking each county of Jiangsu Province as the research object, we selected data from the fourth to the seventh national population censuses. We used the aging coefficient and age concentration rate as static and dynamic indicators to measure the degree of population aging, respectively. We also used spatial correlation analysis to study the spatial and temporal patterns and evolution characteristics of aging in counties in Jiangsu Province. Results The degree of aging in each county of Jiangsu Province has been deepening, and the degree of aging gradually evolves from high in southern Jiangsu and low in northern Jiangsu to high in central Jiangsu and low in southern and northern Jiangsu and shows obvious spatial aggregation. From 1990 to 2020, the population aging in Jiangsu Province has accelerated, among which the aging from 2010-2020 is the fastest. The aging progress appeares the fastest in 2010-2020. Conclusion From 1990 to 2020, population aging in Jiangsu Province has been deepening, with the fastest progress in the last decade and an obvious spatial aggregation. |
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