Literature DB >> 30316101

Comparison of health risks by heat wave definition: Applicability of wet-bulb globe temperature for heat wave criteria.

Seulkee Heo1, Michelle L Bell2, Jong-Tae Lee3.   

Abstract

Despite the active applications of thermal comfort indices for heat wave definitions, there is lack of evaluation for the impact of extended days of high temperature on health outcomes using many of the indices. This study compared the impact of heat waves on health outcomes among different heat wave definitions based on thermal comfort and air temperature. We compared heat waves in South Korea (cities and provinces) for the warm season for 2011-2014, using air temperature, heat index (HI), and web-bulb globe temperature (WBGT). Heat waves were defined as days with daily maximum values of each index at a specified threshold (literature-based, the 90th and 95th percentiles) or above. Distributed lag non-linear models and meta-analysis were used to estimate risk of mortality and hospitalization for all-causes, cardiovascular causes, respiratory causes and heat disorders during heat wave days compared to non-heat wave days. WBGT identified 1.15 times longer maximum heat wave duration for the study periods than air temperature when the thresholds were based on 90th and 95th percentiles. Over the study period, for heat waves defined by WBGT and HI, the Southwestern region showed the highest total number of heat wave days, whereas for air temperature the longest heat wave days were identified in the southeastern region. The highest and most significant impact of heat waves were found by WBGT for hospitalization from heat disorders (Relative risk = 2.959, 95% CI: 1.566-5.594). In sensitivity analyses using different structure of lags and temperature metrics (e.g., daily mean and minimum), the impacts of heat waves on most health outcomes substantially increased by using WBGT for heat wave definitions. As a result, WBGT and its thresholds can be used to relate heat waves and heat-related diseases to improve the prevention effectiveness of heat wave warnings and give informative health guidelines according to the range of WBGT thresholds.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Climate change; Heat wave; Morbidity; Mortality; Temperature

Mesh:

Year:  2018        PMID: 30316101     DOI: 10.1016/j.envres.2018.09.032

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  9 in total

1.  Internet searches and heat-related emergency department visits in the United States.

Authors:  Quinn H Adams; Yuantong Sun; Shengzhi Sun; Gregory A Wellenius
Journal:  Sci Rep       Date:  2022-05-31       Impact factor: 4.996

Review 2.  Knowledge Gaps and Research Priorities on the Health Effects of Heatwaves: A Systematic Review of Reviews.

Authors:  Andrea Conti; Martina Valente; Matteo Paganini; Marco Farsoni; Luca Ragazzoni; Francesco Barone-Adesi
Journal:  Int J Environ Res Public Health       Date:  2022-05-12       Impact factor: 4.614

3.  Using logic regression to characterize extreme heat exposures and their health associations: a time-series study of emergency department visits in Atlanta.

Authors:  Shan Jiang; Joshua L Warren; Noah Scovronick; Shannon E Moss; Lyndsey A Darrow; Matthew J Strickland; Andrew J Newman; Yong Chen; Stefanie T Ebelt; Howard H Chang
Journal:  BMC Med Res Methodol       Date:  2021-04-26       Impact factor: 4.615

4.  The Use of a Quasi-Experimental Study on the Mortality Effect of a Heat Wave Warning System in Korea.

Authors:  Seulkee Heo; Amruta Nori-Sarma; Kwonsang Lee; Tarik Benmarhnia; Francesca Dominici; Michelle L Bell
Journal:  Int J Environ Res Public Health       Date:  2019-06-25       Impact factor: 3.390

Review 5.  Research Priorities of Applying Low-Cost PM2.5 Sensors in Southeast Asian Countries.

Authors:  Shih-Chun Candice Lung; To Thi Hien; Maria Obiminda L Cambaliza; Ohnmar May Tin Hlaing; Nguyen Thi Kim Oanh; Mohd Talib Latif; Puji Lestari; Abdus Salam; Shih-Yu Lee; Wen-Cheng Vincent Wang; Ming-Chien Mark Tsou; Tran Cong-Thanh; Melliza Templonuevo Cruz; Kraichat Tantrakarnapa; Murnira Othman; Shatabdi Roy; Tran Ngoc Dang; Dwi Agustian
Journal:  Int J Environ Res Public Health       Date:  2022-01-28       Impact factor: 3.390

6.  Wet-Bulb Globe Temperature, Universal Thermal Climate Index, and Other Heat Metrics for US Counties, 2000-2020.

Authors:  Keith R Spangler; Shixin Liang; Gregory A Wellenius
Journal:  Sci Data       Date:  2022-06-17       Impact factor: 8.501

7.  Event-Based Heat-Related Risk Assessment Model for South Korea Using Maximum Perceived Temperature, Wet-Bulb Globe Temperature, and Air Temperature Data.

Authors:  Misun Kang; Kyu Rang Kim; Ju-Young Shin
Journal:  Int J Environ Res Public Health       Date:  2020-04-11       Impact factor: 3.390

8.  Mapping Heat-Related Risks in Northern Jiangxi Province of China Based on Two Spatial Assessment Frameworks Approaches.

Authors:  Minxuan Zheng; Jiahua Zhang; Lamei Shi; Da Zhang; Til Prasad Pangali Sharma; Foyez Ahmed Prodhan
Journal:  Int J Environ Res Public Health       Date:  2020-09-10       Impact factor: 3.390

Review 9.  Impact of low-intensity heat events on mortality and morbidity in regions with hot, humid summers: a scoping literature review.

Authors:  Melanie Strathearn; Nicholas J Osborne; Linda A Selvey
Journal:  Int J Biometeorol       Date:  2022-01-20       Impact factor: 3.738

  9 in total

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