Loading…
Impact of ambient temperature on mental health in Bern, Switzerland: a time-series study
Abstract Background Previous studies suggest that people with mental disorders are more vulnerable to increased ambient temperatures (AT). In Switzerland, neuropsychiatric diseases contribute up to 35.1% of the total burden of disease. This burden could possibly increase in the future under current...
Saved in:
Published in: | European journal of public health 2020-09, Vol.30 (Supplement_5) |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Abstract
Background
Previous studies suggest that people with mental disorders are more vulnerable to increased ambient temperatures (AT). In Switzerland, neuropsychiatric diseases contribute up to 35.1% of the total burden of disease. This burden could possibly increase in the future under current climate change scenarios, if no appropriate public health measures were implemented. However, there is lack of evidence on the impact of AT on mental health in Switzerland.
Objective
This study aimed to investigate the short-term association between AT and mental health hospitalizations in Bern, Switzerland.
Methods
From 1973 to 2010, we collected individual data on daily hospitalizations for mental disorders (71,931) from the University Hospital of Psychiatry and Psychotherapy in Bern. We used population-weighted daily mean AT for the canton of Bern derived from the 2.2-km gridded weather data provided by MeteoSwiss. We applied conditional Poisson regression with distributed lag linear models to assess the association and to account for delayed effects up to 3 days after the exposure. We conducted stratified analysis and by age, sex and diagnosis.
Results
The overall risk of hospitalizations increased linearly by 3.0% (95% CI: 0.0%, 6.0%) for every 10C°C-increase in mean daily AT. No differences in risk estimates were found across sex (3.0% in males (95% CI: 0%, 7.0%) and 4.0% in females (95% CI: 0%, 8.0%)) and age groups (≥ 45 years old: 4.0% (95% CI: 0%, 9.0%) and |
---|---|
ISSN: | 1101-1262 1464-360X |
DOI: | 10.1093/eurpub/ckaa165.373 |