Evidence map›Paper›PMID 42688845›Full record

ArticleFrontiers in psychiatry2026

Body temperature correlates with depressive symptom severity: analysis and extension of prior findings in observational cohorts with more than 19,000 participants.

Severine Soltani, Wendy Hartogensis, Stephan Dilchert, Kyle Flores, Christopher A Lowry, Charles L Raison, Frederick M Hecht, Benjamin L Smarr, Ashley E Mason

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Severine SoltaniBioinformatics and Systems Biology Graduate Program, University of California, San Diego, San Diego, CA, United States.
Wendy HartogensisOsher Center for Integrative Health, University of California, San Francisco, San Francisco, CA, United States.
Stephan DilchertDepartment of Management, Zicklin School of Business, Baruch College, The City University of New York, New York, NY, United States.
Kyle FloresHalıcıoğlu Data Science Institute, University of California, San Diego, San Diego, CA, United States.
Christopher A LowryDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, United States.
Charles L RaisonDepartment of Psychiatry, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.
Frederick M HechtOsher Center for Integrative Health, University of California, San Francisco, San Francisco, CA, United States.
Benjamin L Smarr *Shu Chien-Gene Lay Department of Bioengineering, University of California, San Diego, San Diego, CA, United States.
Ashley E Mason *Osher Center for Integrative Health, University of California, San Francisco, San Francisco, CA, United States.

Funding

Graduate Training Program in BioinformaticsT32GM139790 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAFNA, VINEET, GAASTERLAND, THERESA · 2021 to 2025
$2.1M
Mentoring and Research in Integrative MedicineK24AT007827 · NCCIH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HECHT, FREDERICK M · 2013 to 2022
$1.8M
NCCIH NIH HHS K24 AT007827NIGMS NIH HHS T32 GM139790
6 · The paper itself

Abstract

Objective: Prior studies have reported that higher body temperature correlates with greater depressive symptoms, but did not adjust for potential confounders. Methods: We used linear regression models and linear mixed models to assess associations between self-reported depressive symptoms and body temperature (once-daily self-reported temperature from a thermometer and minute-level distal temperature from a commercially available wearable device, worn on the finger). Adjusted models covaried for biological sex, age, daylight length, ambient temperature, and number of medical conditions. Distal body temperature metrics included awake and asleep temperatures, the asleep-awake temperature difference, and the diurnal temperature amplitude. Distal body temperature models also covaried for daylight length and ambient temperature over time. Finally, we used adjusted logistic regression models to assess associations between all body temperature metrics and four categories of depressive symptom severity. Results: In an adjusted linear regression model, the positive association between depressive symptoms and self-reported body temperature remained significant ( Conclusion: Higher body temperature was associated with increased depressive symptoms, and this association was robust to adjustment for potential confounders. These findings support body temperature as a physiological correlate of depressive symptom severity and motivate further investigation of thermoregulatory measures as part of multimodal approaches for monitoring depressive symptoms.

Indexed as

biomarkerbody temperaturedepressionskin temperaturewearable device

Identifiers

PMID42688845
PMCPMC13535770

What Socratic holds

Textmetadata
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 Socratic graph.