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Modifiers of temperature variability-related mortality: A multi-country study

H, Choi1; W, Lee1; M, Choi1; J, Jang1; C, Kang1; H, Kim1

Environmental Epidemiology: October 2019 - Volume 3 - Issue - p 71
doi: 10.1097/01.EE9.0000606452.07396.10
Abstracts of the 2019 Annual Conference of the International Society for Environmental Epidemiology, August 25-28 2019, Utrecht, the Netherlands
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1Graduate School of Public Health, Seoul National University

This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0, where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially.

OPS 13: Heat, cold and mortality, Room 117, Floor 1, August 26, 2019, 1:30 PM - 3:00 PM

Background/Aim: Recent studies showed that temperature variability is a risk factor for human mortality. Some studies also reported that high temperature, demographic characteristics (e.g., age structure), and regional climate modified the association between temperature variability and mortality. However comprehensive and potential modifiers in community-scale have not been fully discussed. Investigating potential modifiers may contribute to establishing better public health interventions. This study aims to investigate the possible modifiers of temperature variability-related mortality with multi-country dataset and satellite data.

Methods: We collected historical time-series data covering mortality and weather variables from over 400 cities of 24 countries from 1972 to 2015 and estimated an association between modifiers of the temperature variability-mortality association using meta-regression models. The community-scaled modifiers were obtained through various sources; regional/national weather stations, World Bank, OECD and Moderate Resolution Imaging Spectroradiometer (MODIS).

Results: The temperature variability-related risk of mortality was modified by regional characteristics: average temperature variability, average temperature, economic status, population, air pollutions, and environmental factors (such as greenness).

Conclusions: The study shows community-scaled characteristics (e.g., climate, socioeconomic status, etc.) may modify the temperature variability-mortality relationship, and suggests possible mechanisms of the modifiers.

On behalf of the MCC Collaborative Research Network.

Copyright © 2019 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of Environmental Epidemiology. All rights reserved.