Evidence map›Paper›PMID 39447967›Full record

ArticleJournal of affective disorders2025

Seasonal variation in mood among individuals with and without bipolar disorder.

Jennifer R Goldschmied, Emma Palermo, Sarah Sperry, Helen J Burgess, Michael McCarthy, Anastasia Yocum, Melvin McInnis, Philip Gehrman

Abstract read
In one paragraph

Article in Journal of affective disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Jennifer R GoldschmiedDepartment of Psychiatry, University of Pennsylvania, 3535 Market St., Philadelphia, PA 19104, United States. Electronic address: jrgolds2@pennmedicine.upenn.edu.
Emma PalermoCenter for Depression, Anxiety, and Stress Research, McLean Hospital, 115 Mill St., Belmont, MA 02478, United States. Electronic address: ehpalermo@mclean.harvard.edu.
Sarah SperryDepartment of Psychiatry, University of Michigan, United States. Electronic address: sperrys@med.umich.edu.
Helen J BurgessDepartment of Psychiatry, University of Michigan, United States. Electronic address: bhelen@med.umich.edu.
Michael McCarthyDepartment of Psychiatry and Center for Circadian Biology, University of California San Diego, United States. Electronic address: mmccarthy@health.ucsd.edu.
Anastasia YocumDepartment of Psychiatry, University of Michigan, United States. Electronic address: akyocum@med.umich.edu.
Melvin McInnisDepartment of Psychiatry, University of Michigan, United States. Electronic address: mmcinnis@umich.edu.
Philip GehrmanDepartment of Psychiatry, University of Pennsylvania, 3535 Market St., Philadelphia, PA 19104, United States; Behavioral Health Service, Cpl. Michael J. Crescenz VA Medical Center, 3900 Woodland Ave., Philadelphia, PA 19104, United States. Electronic address: philip.gehrman@pennmedicine.upenn.edu.

Funding

Affective and Cognitive Mechanisms of Emotion-Based Impulsivity in Bipolar Disorder: Linking Neural Oscillatory Dynamics to Real-World OutcomesK23MH131601 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah Havens Sperry · 2023 to 2026
$779k
Investigating the Role of Slow-wave Activity as a Marker of Impaired Plasticity in Major Depressive DisorderK23MH118580 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GOLDSCHMIED, JENNIFER RACHEL · 2019 to 2022
$732k
BLRD VA I01 BX003431NIMH NIH HHS K23 MH118580NIMH NIH HHS K23 MH131601NIMH NIH HHS L30 MH127613
6 · The paper itself

Abstract

introductionBipolar disorder is a disorder characterized by cyclic changes in mood, yet limited research has explored longitudinal patterns of seasonality on mood symptoms in this population. This study aimed to examine longitudinal mood symptoms in individuals with bipolar type I and II, and healthy controls to determine if seasonal patterns were present and to validate the Global Seasonality Score as a measure of seasonality.

methodsParticipants from the Prechter Longitudinal Study of Bipolar Disorder were included. Seasonal variations in mood were determined from the Patient Health Questionnaire, Altman Self-Rating Mania scale, and the Seasonal Pattern Assessment Questionnaire. Mixed effects models were utilized to examine the effects of season and diagnostic group on patterns of mood over time.

resultsAll groups exhibited significant seasonal effects on mood symptoms, with evidence of decreased depressive symptoms and increased mania symptoms in longer daylight months. The Global Seasonality Score showed significant differences between diagnostic groups, with bipolar I and II groups demonstrating higher seasonality than healthy controls. High seasonality was associated with greater variance in mood symptoms.

conclusionThe present study found evidence of seasonal patterns in mood symptoms in individuals with bipolar type I and II. These results highlight the need for consideration of seasonality in assessment and treatment in bipolar disorder and suggest that interventions such as light therapy during seasons of heightened risk could be beneficial. The validation of the Global Seasonality Score as a reliable measure further underscores the benefit of utilizing self-report measures to identify periods of vulnerability.

Indexed as

AffectBipolar DisorderSeasonsAdultFemaleHumansLongitudinal StudiesMaleManiaMiddle AgedPsychiatric Status Rating ScalesYoung AdultBipolarLongitudinalMoodSeasonalityVulnerability

Identifiers

PMID39447967
PMCPMC11608134

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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.