4.7 Article

Mental disease-related emergency admissions attributable to hot temperatures

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 616, Issue -, Pages 688-694

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2017.10.260

Keywords

Attributable risk to hot temperature; Distributed lag non-linear model; Epidemiology; Multivariate meta-analysis

Funding

  1. Korea Ministry of Environment as Climate Change Correspondence Program [2014001310007]

Ask authors/readers for more resources

Objective: The association between high temperature and mental disease has been the focus of several studies worldwide. However, no studies have focused on the mental disease burden attributable to hot temperature. Here, we aim to quantify the risk attributed to hot temperatures based on the exposure-lag-response relationship between temperature and mental diseases. Method: From data on daily temperature and emergency admissions (EA) for mental diseases collected from 6 major cities (Seoul, Incheon, Daejeon, Daegu, Busan, and Gwangju in South Korea) over a period of 11 years (2003-2013), we estimated temperature-disease associations using a distributed lag non-linear model, and we pooled the data by city through multivariate meta-analysis. Cumulative relative risk and attributable risks were calculated for extreme hot temperatures, defined as the 99th percentile relative to the 50th percentile of temperatures. Results: The strongest association between mental disease and high temperature was seen within a period of 0-4 days of high temperature exposure. Our results reveal that 14.6% of EA for mental disease were due to extreme hot temperatures, and the elderly were more susceptible (19.1%). Specific mental diseases, including anxiety, dementia, schizophrenia, and depression, also showed significant risk attributed to hot temperatures. Of all EA for anxiety, 31.6% were attributed to extremely hot temperatures. Conclusions: High temperature was responsible for an attributable risk for mental disease, and the burden was higher in the elderly. This finding has important implications for designing appropriate public health policies to minimize the impact of high temperature on mental health. (c) 2017 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available