Tupinier Martin, Frédéric 
ORCID: https://orcid.org/0000-0003-3597-5740; Boudreault, Jérémie ORCID: https://orcid.org/0000-0002-3086-2635; Campagna, Céline ORCID: https://orcid.org/0000-0002-6199-1042; Lavigne, Éric; Gamache, Philippe; Tandonnet, Matthieu; Généreux, Mélissa; Trottier, Simon et Goupil-Sormany, Isabelle ORCID: https://orcid.org/0000-0002-0086-3848
(2024).
The relationship between hot temperatures and hospital admissions for psychosis in adults diagnosed with schizophrenia: A case-crossover study in Quebec, Canada.
Environmental Research
, vol. 246
.
p. 118225.
DOI: 10.1016/j.envres.2024.118225.
Résumé
Introduction
Some studies have found hot temperatures to be associated with exacerbations of schizophrenia, namely psychoses. As climate changes faster in Northern countries, our understanding of the association between temperature and hospital admissions (HA) for psychosis needs to be deepened.
Objectives
1) Among adults diagnosed with schizophrenia, measure the relationship between mean temperatures and HAs for psychosis during summer. 2) Determine the influence of individual and ecological characteristics on this relationship.
Methods
A cohort of adults diagnosed with schizophrenia (n = 30,649) was assembled using Quebec's Integrated Chronic Disease Surveillance System (QICDSS). The follow-up spanned summers from 2001 to 2019, using hospital data from the QICDSS and meteorological data from the National Aeronautics and Space Administration's (NASA) Daymet database. In four geographic regions of the province of Quebec, a conditional logistic regression was used for the case-crossover analysis of the relationship between mean temperatures (at lags up to 6 days) and HAs for psychosis using a distributed lag non-linear model (DLNM). The analyses were adjusted for relative humidity, stratified according to individual (age, sex, and comorbidities) and ecological (material and social deprivation index and exposure to green space) factors, and then pooled through a meta-regression.
Results
The statistical analyses revealed a statistically significant increase in HAs three days (lag 3) after elevated mean temperatures corresponding to the 90th percentile relative to a minimum morbidity temperature (MMT) (OR 1.040; 95% CI 1.008–1.074), while the cumulative effect over six days was not statistically significant (OR 1.052; 95% IC 0.993–1.114). Stratified analyses revealed non statistically significant gradients of increasing HAs relative to increasing material deprivation and decreasing green space levels.
Conclusions
The statistical analyses conducted in this project showed the pattern of admissions for psychosis after hot days. This finding could be useful to better plan health services in a rapidly changing climate.
| Type de document: | Article |
|---|---|
| Mots-clés libres: | heat; schizophrenia; distributed lag non-linear model (DLNM); lag effect; hospitalisation; green space |
| Centre: | Centre Eau Terre Environnement |
| Date de dépôt: | 31 juill. 2024 20:06 |
| Dernière modification: | 31 juill. 2024 20:08 |
| URI: | https://espace.inrs.ca/id/eprint/15487 |
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