Literature DB >> 26994463

The influence of pre-existing health conditions on short-term mortality risks of temperature: Evidence from a prospective Chinese elderly cohort in Hong Kong.

Shengzhi Sun1, Linwei Tian1, Hong Qiu1, King-Pan Chan1, Hilda Tsang1, Robert Tang1, Ruby Siu-Yin Lee2, Thuan-Quoc Thach1, Chit-Ming Wong3.   

Abstract

BACKGROUND: Both cold and hot temperatures are associated with adverse health outcomes. Less is known about the role of pre-existing medical conditions to confer individual's susceptibility to temperature extremes.
METHODS: We studied 66,820 subjects aged ≥65 who were enrolled and interviewed in all the 18 Elderly Health Centers of Department of Health, Hong Kong from 1998 to 2001, and followed up for 10-13 years. The distributed lag nonlinear model (DLNM) combined with a nested case-control study design was applied to estimate the nonlinear and delayed effects of cold or hot temperature on all natural mortality among subjects with different pre-existing diseases.
RESULTS: The relative risk of all natural mortality associated with a decrease of temperature from 25th percentile (19.5°C) to 1st percentile (11.3°C) over 0-21 lag days for participants who reported to have an active disease at the baseline was 2.21 (95% confidence interval (CI): 1.19, 4.10) for diabetes mellitus (DM), 1.59 (1.12, 2.26) for circulatory system diseases (CSD), and 1.23 (0.53, 2.84) for chronic obstructive pulmonary disease (COPD), whereas 1.04 (0.59, 1.85) for non-disease group (NDG). Compared with NDG, elders with COPD had excess risk of mortality associated with thermal stress attributable to hot temperature, while elders with DM and CSD were vulnerable to both hot and cold temperatures.
CONCLUSIONS: Elders with pre-existing health conditions were more vulnerable to excess mortality risk to hot and/or cold temperature. Preventative measures should target on elders with chronic health problems.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Distributed lag nonlinear model; Elders; Medical condition; Mortality; Nested case-control study; Temperature

Mesh:

Substances:

Year:  2016        PMID: 26994463     DOI: 10.1016/j.envres.2016.03.012

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


  5 in total

1.  Ambient temperature and preterm birth: A retrospective study of 32 million US singleton births.

Authors:  Shengzhi Sun; Kate R Weinberger; Keith R Spangler; Melissa N Eliot; Joseph M Braun; Gregory A Wellenius
Journal:  Environ Int       Date:  2019-02-15       Impact factor: 9.621

2.  How Does Ambient Air Temperature Affect Diabetes Mortality in Tropical Cities?

Authors:  Xerxes T Seposo; Tran Ngoc Dang; Yasushi Honda
Journal:  Int J Environ Res Public Health       Date:  2017-04-05       Impact factor: 3.390

3.  Socio-Economic Impact of and Adaptation to Extreme Heat and Cold of Farmers in the Food Bowl of Nepal.

Authors:  Nanda Kaji Budhathoki; Kerstin K Zander
Journal:  Int J Environ Res Public Health       Date:  2019-05-06       Impact factor: 3.390

4.  The Mortality Risk and Socioeconomic Vulnerability Associated with High and Low Temperature in Hong Kong.

Authors:  Sida Liu; Emily Yang Ying Chan; William Bernard Goggins; Zhe Huang
Journal:  Int J Environ Res Public Health       Date:  2020-10-07       Impact factor: 3.390

5.  Short-term association between ambient temperature and acute myocardial infarction hospitalizations for diabetes mellitus patients: A time series study.

Authors:  Holly Ching Yu Lam; Juliana Chung Ngor Chan; Andrea On Yan Luk; Emily Ying Yang Chan; William Bernard Goggins
Journal:  PLoS Med       Date:  2018-07-17       Impact factor: 11.069

  5 in total

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