Heat-mortality risk and the population concentration of metropolitan areas in Japan: a nationwide time-series study
Author(s) -
Whanhee Lee,
Kristie L. Ebi,
Yoonhee Kim,
Masahiro Hashizume,
Yasushi Honda,
Hideki Hashimoto,
Hayon Michelle Choi,
Moonjung Choi,
Ho Kim
Publication year - 2020
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dyaa245
Subject(s) - metropolitan area , series (stratigraphy) , medicine , demography , population , epidemiology , environmental health , gerontology , geography , sociology , paleontology , pathology , biology
Background The complex role of urbanisation in heat-mortality risk has not been fully studied. Japan has experienced a rapid population increase and densification in metropolitan areas since the 2000s; we investigated the effects of population concentration in metropolitan areas on heat-mortality risk using nationwide data. Methods We collected time-series data for mortality and weather variables for all 47 prefectures in Japan (1980–2015). The prefectures were classified into three sub-areas based on population size: lowest (<1 500 000), intermediate (1 500 000 to 3 000 000), and highest (>3 000 000; i.e. metropolitan areas). Regional indicators associated with the population concentration of metropolitan areas were obtained. Results Since the 2000s, the population concentration intensified in the metropolitan areas, with the highest heat-mortality risk in prefectures with the highest population. Higher population density and apartment % as well as lower forest area and medical services were associated with higher heat-mortality risk; these associations have generally become stronger since the 2000s. Conclusions Population concentration in metropolitan areas intensified interregional disparities in demography, living environments, and medical services in Japan; these disparities were associated with higher heat-mortality risk. Our results can contribute to policies to reduce vulnerability to high temperatures.
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