Abstract
毛凡,张伟伟,周脉耕.区域长寿水平评价研究进展[J].Chinese journal of Epidemiology,2022,43(7):1147-1153
区域长寿水平评价研究进展
Progress in research of regional longevity level
Received:March 29, 2022  
DOI:10.3760/cma.j.cn112338-20220329-00241
KeyWord: 长寿  百岁老人  多角度综合指数  健康
English Key Word: Longevity  Centenarians  Multi-dimensional composite indexes  Health
FundProject:国家自然科学基金(81941025)
Author NameAffiliationE-mail
Mao Fan National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China  
Zhang Weiwei National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China  
Zhou Maigeng National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China zhoumaigeng@ncncd.chinacdc.cn 
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Abstract:
      区域长寿现象是指某一地区(按县级以上行政区划单位)在某一时点或一段时间内长寿水平明显高于周边地区,并且就全国范围来看,其长寿水平名列前茅的一种人口年龄分布现象。近些年来,国内外专家学者针对个体长寿的影响因素开展了较为丰富的研究,然而与之相对应的区域长寿水平的评价研究仍相对较少。本文从评价指标及研究发现、研究尺度及数据来源等方面对国内外区域长寿水平评价研究进行了梳理,在此基础上从3个方面对区域长寿水平评价研究的下一步发展提出了建议:第一,充分利用人口死亡监测数据开展区域长寿水平评价;第二,在多源数据充分整合、校核的基础上基于复合评价指标开展区域长寿水平的综合评价,以精准描述各地区长寿水平的时空演变趋势;第三,从区域长寿水平评价向区域健康长寿水平评价转变,促进健康老龄化社会建设。
English Abstract:
      Regional longevity refers to a phenomenon of population age distribution in which longevity level in a certain area is significantly higher than the surrounding area at a certain point or period of time, and its longevity level is among the best in the whole country. In recent years, experts and scholars both at home and abroad have carried out multi studies of the influencing factors of individual longevity, but there are still relatively less studies to evaluate regional longevity level. This paper introduces the domestic and foreign evaluation research of regional longevity in terms of evaluation indicators and results, research scales and data sources, and proposes some advice for the future development. First, making full use of population death surveillance data to evaluate regional longevity level. Second, adopting multi-dimensional composite indexes to comprehensively, dynamically evaluate and accurately depict the regional longevity levels and its spatio-temporal change trend. Third, transforming regional longevity level evaluation to regional health and longevity level evaluation to promote healthy population aging.
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