Evidence map›Paper›PMID 41407116›Full record

ArticleJournal of affective disorders2026

Associations between daily outdoor temperature and subjective real-time ratings of emotional states and sleep in mood disorder subtypes.

Debangan Dey, Hamza A Lateef, Andrew Leroux, Vadim Zipunnikov, Kathleen Merikangas

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Article in Journal of affective disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Debangan DeyGenetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA; Department of Statistics, Texas A&M University.
Hamza A LateefGenetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA.
Andrew LerouxDepartment of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Vadim ZipunnikovDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Kathleen MerikangasGenetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA. Electronic address: kathleen.merikangas@nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is growing evidence for the influence of weather on mental health at both the aggregate level indices of mental health statistics of hospitalizations, morbidity, and mortality, and individual level dynamics of mood states. Most research on this topic has focused on light exposure and depressed mood as the sole indicators of seasonal fluctuations of mood disorders. This paper evaluates the association between daily maximum outdoor temperature (DMOT) and contemporaneously reported mood, energy, anxiousness, and sleep quality assessed with Ecological Momentary Assessment (EMA) in a community-based sample of 452 people, aged 11 to 85 years, comprising people with or without a history of mood disorders. After controlling for demographics, daily activity levels, and daytime cloud coverage as an index of light exposure, we found that higher DMOT was associated with better mood, increased energy, and better sleep quality among those with a history of mood disorders, particularly in the spring. These findings suggest that the dynamics of mood, energy, and sleep may underlie the aggregate population-level influences of temperature and correlated environmental influences on negative mental health outcomes, particularly among those with BD. Therefore, the conceptualization of risk and intervention for mood disorders should consider both the aggregate influences of temperature and light and associated environmental conditions, as well as individual-level sleep quality and energy as potential mechanisms for seasonal patterns of emotional states.

Indexed as

AffectEmotionsMood DisordersSleepTemperatureAdolescentAdultAgedAged, 80 and overBipolar DisorderChildEcological Momentary AssessmentFemaleHumansMaleMiddle AgedAmbient temperatureBipolar disorderEcological momentary assessmentMajor depressive disorderMood disordersSleep quality

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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.