Evidence map›Paper›PMID 34637463›Full record

ArticlePloS one2021

Ambient temperature and mental health hospitalizations in Bern, Switzerland: A 45-year time-series study.

Marvin Bundo, Evan de Schrijver, Andrea Federspiel, Andrea Toreti, Elena Xoplaki, Jürg Luterbacher, Oscar H Franco, Thomas Müller, Ana M Vicedo-Cabrera

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 6 pooled it
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 6 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Impacts of extreme temperatures on mood disorders: A systematic review.European psychiatry : the journal of the Association of European Psychiatrists · 2025
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  5. A Systematic Literature Review of the Impact of Climate Change on the Global Demand for Psychiatric Services.International journal of environmental research and public health · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Marvin BundoInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Evan de SchrijverInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0002-2679-0464
Andrea FederspielTranslational Research Center (TRC), University Hospital of Psychiatry and Psychotherapy University of Bern, Bern, Switzerland.
Andrea ToretiEuropean Commission, Joint Research Centre, Ispra, Italy.
Elena XoplakiDepartment of Geography, Climatology, Climate Dynamics and Climate Change, Justus Liebig University Giessen, Giessen, Germany.
Jürg LuterbacherWorld Meteorological Organization (WMO), Science and Innovation Department, Geneva, Switzerland.
Oscar H FrancoInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Thomas MüllerTranslational Research Center (TRC), University Hospital of Psychiatry and Psychotherapy University of Bern, Bern, Switzerland.
Ana M Vicedo-CabreraInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0001-6982-8867
University of Bern · CHJoint Research Centre · ITJustus-Liebig-Universität Gießen · DEWorld Meteorological Organization · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsychiatric disorders constitute a major public health concern that are associated with substantial health and socioeconomic burden. Psychiatric patients may be more vulnerable to high temperatures, which under current climate change projections will most likely increase the burden of this public health concern.

objectiveThis study investigated the short-term association between ambient temperature and mental health hospitalizations in Bern, Switzerland.

methodsDaily hospitalizations for mental disorders between 1973 and 2017 were collected from the University Hospital of Psychiatry and Psychotherapy in Bern. Population-weighted daily mean ambient temperatures were derived for the catchment area of the hospital from 2.3-km gridded weather maps. Conditional quasi-Poisson regression with distributed lag linear models were applied to assess the association up to three days after the exposure. Stratified analyses were conducted by age, sex, and subdiagnosis, and by subperiods (1973-1989 and 1990-2017). Additional subanalyses were performed to assess whether larger risks were found during the warm season or were due to heatwaves.

resultsThe study included a total number of 88,996 hospitalizations. Overall, the hospitalization risk increased linearly by 4.0% (95% CI 2.0%, 7.0%) for every 10°C increase in mean daily temperature. No evidence of a nonlinear association or larger risks during the warm season or heatwaves was found. Similar estimates were found across for all sex and age categories, and larger risks were found for hospitalizations related to developmental disorders (29.0%; 95% CI 9.0%, 54.0%), schizophrenia (10.0%; 95% CI 4.0%, 15.0%), and for the later rather than the earlier period (5.0%; 95% CI 2.0%, 8.0% vs. 2.0%; 95% CI -3.0%, 8.0%).

conclusionsOur findings suggest that increasing temperatures could negatively affect mental status in psychiatric patients. Specific public health policies are urgently needed to protect this vulnerable population from the effects of climate change.

Indexed as

HospitalizationMental HealthTemperatureAgedAir PollutionConfidence IntervalsFemaleGeographyHospitals, PsychiatricHumansMaleMental DisordersMiddle AgedRiskSwitzerlandTime Factors

Identifiers

PMID34637463
PMCPMC8509878
OpenAlexW3133500593

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.