지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.12
- 수록면
- 729 - 739 (11page)
- DOI
- 10.15531/KSCCR.2022.13.6.729
이용수
초록· 키워드
오류제보하기
Heat impact on human health is a global concern due to climate change which has been accelerating. Recently, previous studies have contended that it is necessary to consider different vulnerabilities to heat by temperature metrics and urbanicity when setting the heat alarming system; however, the current heat alarm system in Korea is based on the maximum temperature solely. Therefore, this study aimed to examine whether the heat-related mortality risks differ by the urban and rural areas with sub-population groups, using two temperature metrics, the daily minimum temperature and the maximum temperature.
We collected 229 nationwide district-level (sigungu) daily time-series data including the minimum temperature, the maximum temperature, and the all-cause mortality during the summer season (June ~ Sep) of the study period (2011 ~ 2017). Using the two-stage time series analysis with a distributed lag non-linear model (DLNM), we estimated heat-mortality risk estimates based on the minimum and maximum temperatures, individually. The risk estimates were pooled with meta-regression by urban and rural area.
The maximum temperature is associated with mortality risk in both urban and rural areas. However, the minimum temperature has a significant impact on mortality only in the urban area. In addition, heat-related mortality risks differed by the sup-population (sex and age group), regions, and temperature metrics.
In conclusion, heat-mortality risk between urban and rural areas differs by temperature metrics and characteristics of sub-populations. The results suggest that more elaborated heat definitions and heat alarming systems should be established to increase the efficiency of the alarming system and address unequal vulnerability to heat.
We collected 229 nationwide district-level (sigungu) daily time-series data including the minimum temperature, the maximum temperature, and the all-cause mortality during the summer season (June ~ Sep) of the study period (2011 ~ 2017). Using the two-stage time series analysis with a distributed lag non-linear model (DLNM), we estimated heat-mortality risk estimates based on the minimum and maximum temperatures, individually. The risk estimates were pooled with meta-regression by urban and rural area.
The maximum temperature is associated with mortality risk in both urban and rural areas. However, the minimum temperature has a significant impact on mortality only in the urban area. In addition, heat-related mortality risks differed by the sup-population (sex and age group), regions, and temperature metrics.
In conclusion, heat-mortality risk between urban and rural areas differs by temperature metrics and characteristics of sub-populations. The results suggest that more elaborated heat definitions and heat alarming systems should be established to increase the efficiency of the alarming system and address unequal vulnerability to heat.
목차
ABSTRACT
1. 서론
2. 연구재료 및 방법
3. 연구결과
4. 고찰 및 결론
References
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