Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study.

Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study.
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日本健康预期寿命的地理社会经济不平等,2010-2014:一项生态研究。

DOI:
10.1016/j.lanwpc.2021.100204
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发表时间:
2021-09
期刊:
The Lancet regional health. Western Pacific
影响因子:
--
通讯作者:
Ito Y
Ito Y
中科院分区:
其他
文献类型:
--
作者:
Kataoka A;Fukui K;Sato T;Kikuchi H;Inoue S;Kondo N;Nakaya T;Ito Y

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在世界各地监测了大地理单位中预期寿命和健康预期寿命的地区差异。地区特征可能基于较小地理单元的文化、历史、社会经济地位和歧视,因此在研究健康不平等时必须考虑这些因素。我们的目的是评估LE,HLE,和非健康预期寿命(NHLE)在1707个城市使用地区延迟指数(ADI)在日本首次。我们使用2010-2014年的死亡、人口和长期护理保险数据计算了观察到的LE、HLE和NHLE,并应用方差加权最小二乘模型,使用标准化ADI通过100个单位估计LE、HLE和NHLE。随着贫困指数的恶化,估计的生活质量、生活质量和非生活质量均降低:最贫困地区和最贫困地区的生活质量差异男性分别为2.49年和2.32年,女性分别为1.22年和0.93年。在最贫困地区观察到的生活水平和生活水平远远低于其他地区。使用ADI使我们能够准确地看到市政当局之间的差距。第100百分位的生活质量和生活质量异常值可能与历史上的地区贫困和边缘化有关。对基于社会经济地位的健康不平等进行精确监测,可以通过确定最需要干预的群体,帮助管理这些不平等。日本文部科学省(科学研究补助金[A]第20 H 00040和18 H 04071号)。
Area differences in life expectancy (LE) and healthy life expectancy (HLE) in large geographical units have been monitored around the world. Area characteristics may be based on culture, history, socioeconomic status and discrimination in smaller geographical units, so it is important to consider these when looking at health inequality. We aimed to evaluate LE, HLE, and non-healthy life expectancy (NHLE) in 1707 municipalities using Areal Deprivation Index (ADI) in Japan for the first time. We calculated the observed LE, HLE, and NHLE using death, population, and Long-term care insurance data for 2010-2014 and applied the variance weighted least squares model to estimate LE, HLE, and NHLE by 100 percentiles using the standardized ADI. The estimated LE, HLE, and NHLE became lower as the deprivation index worsened: the differences between the most and least deprived areas for HLE were 2·49 years for LE and 2·32 years for HLE in males; 1·22 years for LE and 0·93 years for HLE in females. The observed LE and HLE in the most deprived areas were much lower than other areas. Using ADI has enabled us to see the disparity within municipalities precisely. LE and HLE outlier for the 100th percentile might be linked to historical areal deprivation and marginalization. Precise monitoring of socioeconomic status-based health inequalities could help manage these inequalities by identifying the groups most in need of intervention. The Ministry of Education, Science and Culture of Japan (a Grant-in-Aid for Scientific Research [A] No. 20H00040 and 18H04071).
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