COVID-19死亡率的社会人口统计模式:2020年日本人口普查相关死亡率数据库
Hirokazu Tanaka1, Kota Katanoda1, Tomoki Nakaya2,3
1Division of Population Data Science, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
The Lancet regional health. Western Pacific
|September 11, 2025
概括
婚姻状况和教育等社会人口统计因素影响了日本的COVID-19死亡率,反映了全因死亡率趋势. 然而,生活在大型家庭中独特地增加了COVID-19风险,与典型的模式分开.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 社会学 社会学 社会学
背景情况:
- 日本缺乏社会人口统计死亡统计数据,需要具有成本效益的数据链接方法.
- 为了监测COVID-19等紧急问题的健康不平等,需要强大的统计数据.
- 这项研究利用了非制度化公民的独特联系方法.
研究的目的:
- 通过社会人口统计学特征调查全国范围的COVID-19因特定死亡率.
- 为了比较COVID-19死亡率与日本全因死亡率的模式.
- 为了确定死亡风险的社会人口学差异.
主要方法:
- 利用了2020年日本人口普查相关的死亡数据库 (80,135,688人).
- 计算了所有原因和COVID-19死亡的年龄标准化死亡率.
- 采用多变量修改的波桑回归,分析数据按性别和变种时期 (三角形,欧米克朗).
主要成果:
- 婚姻状况 (单身男性) 和低教育水平与增加的COVID-19死亡率有关,类似于全因死亡.
- 在大家庭 (≥5人) 居住显著增加了COVID-19死亡风险 (女性MRR:1.69).
- 区域贫困指数 (ADI) 与COVID-19死亡率没有显著关联,与所有原因死亡率不同.
结论:
- 婚姻状况和教育等社会人口统计因素反映了COVID-19死亡率的健康不平等,与全因死亡率保持一致.
- 在日本,生活在大型家庭中是COVID-19死亡率的独特风险因素.
- ADI关联的分歧突出了COVID-19脆弱性的特定模式.
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