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  3. How ambient temperature affects mood: an ecological momentary assessment study in Switzerland.
 

How ambient temperature affects mood: an ecological momentary assessment study in Switzerland.

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BORIS DOI
10.48350/184673
Date of Publication
July 11, 2023
Publication Type
Article
Division/Institute

Zentrum für Translati...

Institut für Sozial- ...

Institut für Sozial- ...

Contributor
Bundo, Marvin
Institut für Sozial- und Präventivmedizin (ISPM) - Climate Change & Health
Institut für Sozial- und Präventivmedizin (ISPM)
Preisig, Martin
Merikangas, Kathleen
Glaus, Jennifer
Vaucher, Julien
Waeber, Gérard
Marques-Vidal, Pedro
Strippoli, Marie-Pierre F
Müller, Thomasorcid-logo
Zentrum für Translationale Forschung der Universitätsklinik für Psychiatrie und Psychotherapie
Franco Duran, Oscar Horacio
Institut für Sozial- und Präventivmedizin (ISPM)
Vicedo Cabrera, Ana Maria
Institut für Sozial- und Präventivmedizin (ISPM) - Climate Change & Health
Institut für Sozial- und Präventivmedizin (ISPM)
Subject(s)

600 - Technology::610...

300 - Social sciences...

Series
Environmental health
ISSN or ISBN (if monograph)
1476-069X
Publisher
BioMed Central
Language
English
Publisher DOI
10.1186/s12940-023-01003-9
PubMed ID
37430261
Uncontrolled Keywords

Ambient temperature C...

Description
BACKGROUND

Recent research has suggested that an increase in temperature can negatively affect mental health and increase hospitalization for mental illness. It is not clear, however, what factors or mechanisms mediate this association. We aimed to (1) investigate the associations between ambient temperatures and bad daily mood, and (2) identify variables affecting the strength of these associations (modifiers) including the time, the day of the week and the year of the mood rating, socio-demographic characteristics, sleep quality, psychiatric disorders and the personality trait neuroticism in the community.

METHODS

Data stemmed from the second follow-up evaluation of CoLaus|PsyCoLaus, a prospective cohort study conducted in the general population of Lausanne (Switzerland). The 906 participants rated their mood level four times a day during seven days using a cell phone app. Mixed-effects logistic regression was used to determine the association between daily maximum temperature and mood level. Participant ID was inserted as a random effect in the model, whereas the time of the day, the day of the week and the year were inserted as fixed effects. Models were controlled for several confounders (socio-demographic characteristics, sleep quality, weather parameters and air pollutants). Stratified analyses were conducted based on socio-demographic characteristics, sleep quality, presence of psychiatric disorders or a high neuroticism.

RESULTS

Overall, the probability of having a bad mood for the entire day decreased by 7.0% (OR: 0.93: 95% CI 0.88, 0.99) for each 5 °C increase in maximum temperature. A smaller and less precise effect (-3%; OR: 0.97: 95% CI 0.91, 1.03) was found when controlling for sunshine duration. A higher association was found in participants with bipolar disorder (-23%; OR: 0.77: 95% CI 0.51, 1.17) and in participants with a high neuroticism (-13%; OR: 0.87 95% CI 0.80, 0.95), whereas the association was reversed for participants with anxiety (20%; OR: 1.20: 95% CI 0.90, 1.59), depression (18%; OR: 1.18 95% CI 0.94, 1.48) and schizophrenia (193%; OR: 2.93 95% CI 1.17, 7.73).

CONCLUSIONS

According to our findings, rising temperatures may positively affect mood in the general population. However, individuals with certain psychiatric disorders, such as anxiety, depression, and schizophrenia, may exhibit altered responses to heat, which may explain their increased morbidity when exposed to high temperatures. This suggests that tailored public health policies are required to protect this vulnerable population.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/168610
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s12940-023-01003-9.pdftextAdobe PDF2.06 MBAttribution (CC BY 4.0)publishedOpen
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