Development of a comprehensive mortality database in Japan through data linkage of population census and vital statistics.

IF 2.5 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Hirokazu Tanaka, Kota Katanoda, Tomoki Nakaya, Kayo Togawa, Yasuki Kobayashi
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引用次数: 0

Abstract

Objective: No official framework exists for linking the Population Census with Vital Statistics in Japan, limiting the ability to monitor health-related inequalities. We aimed to develop a new methodology for data linkage to describe sociodemographic patterns of mortality in the Japanese population.

Methods: The 2020 Population Census (n = 120,721,239) and Vital Statistics (death records: n = 2,949,946) between October 2020 and September 2022 were linked using a multi-stage deterministic linkage algorithm. Linkage variables included sex, birth year/month, residential address code (basic unit block, census block, and municipality), marital status, and age of spouse. Residential address codes (basic unit blocks: the smallest geographic unit at the Census) of death records were identified through geocoding of the exact residential address. We compared age-standardized mortality rates (ASMRs: per 100,000 person-years) before and after linkage to assess the validity of mortality. We also estimated ASMRs across multiple sociodemographic indicators, including marital status, household size, educational level, occupation, and area deprivation index (ADI).

Results: Of the total death records, 2,253,228 (76.4%) were linked to the 2020 Census. The 2020 Japanese census-linked mortality database ultimately comprised 109,119,620 non-institutionalized Japanese individuals (90.4% of the total population) and 2,047,152 non-institutionalized death records (69.4% of total deaths). Crude all-cause mortality rates in most 5-year age categories from the database were 10-15% lower than those in the complete mortality registry without linkage; however, the difference was markedly greater in older age groups (aged ≥ 85 years), indicating less successful linkage in the age groups that had the highest mortality rates. ASMRs differed according to educational level, marital status, household size, occupation, and ADI (e.g., higher ASMRs among individuals with lower educational levels).

Conclusions: The new linkage framework, which incorporates detailed address information as a linkage variable, has greatly increased the included population and the completeness of linkage. This approach to developing the census-linked mortality data provides a platform for comparing population health across socioeconomic groups within Japan and Japan's health-related inequalities with those in other countries.

通过人口普查和生命统计的数据联系,在日本建立一个综合死亡率数据库。
目标:日本没有将人口普查与人口动态统计联系起来的官方框架,限制了监测与健康有关的不平等现象的能力。我们的目标是开发一种新的数据链接方法来描述日本人口死亡率的社会人口模式。方法:采用多阶段确定性关联算法,将2020年10月至2022年9月的2020年人口普查(n = 120,721,239)和生命统计(n = 2949,946)数据进行关联。关联变量包括性别、出生年月日、居住地址编码(基本单位区、普查区和直辖市)、婚姻状况和配偶年龄。通过对确切的居住地址进行地理编码,确定了死亡记录的居住地址编码(基本单位块:人口普查中最小的地理单位)。我们比较了关联前后的年龄标准化死亡率(ASMRs:每10万人年),以评估死亡率的有效性。我们还估算了多个社会人口指标的asmr,包括婚姻状况、家庭规模、教育水平、职业和区域剥夺指数(ADI)。结果:总死亡记录中,2253228例(76.4%)与2020年人口普查有关。2020年日本人口普查相关死亡率数据库最终包括109,119,620名非机构日本人(占总人口的90.4%)和2,047,152名非机构死亡记录(占总死亡人数的69.4%)。数据库中大多数5岁年龄组的粗全因死亡率比没有关联的完整死亡率登记册中的死亡率低10-15%;然而,在年龄较大的年龄组(≥85岁)中,差异明显更大,这表明死亡率最高的年龄组的联系不太成功。asmr因受教育程度、婚姻状况、家庭规模、职业和ADI(例如,受教育程度较低的个体asmr较高)而异。结论:以详细地址信息为联动变量的新型联动框架,极大地提高了纳入人群和联动的完备性。这种编制与人口普查有关的死亡率数据的方法为比较日本各社会经济群体的人口健康状况以及日本与其他国家在健康方面的不平等现象提供了一个平台。
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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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