Evidence map›Paper›PMID 37941381›Full record

ArticleEpidemiology and psychiatric sciences2023

Seasonal patterns of sickness absence due to diagnosed mental disorders: a nationwide 12-year register linkage study.

M Virtanen, S Törmälehto, T Partonen, M Elovainio, R Ruuhela, C Hakulinen, K Komulainen, J Airaksinen, A Väänänen, A Koskinen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Observational
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

11 authors at 5 institutions in 2 countries.

M VirtanenSchool of Educational Sciences and Psychology, University of Eastern Finland, Joensuu, Finland.ORCID https://orcid.org/0000-0001-8361-3301
S TörmälehtoSchool of Educational Sciences and Psychology, University of Eastern Finland, Joensuu, Finland.
T PartonenDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
M ElovainioDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
R RuuhelaWeather and Climate Change Impact Research, Finnish Meteorological Institute, Helsinki, Finland.
C HakulinenDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID https://orcid.org/0000-0001-8629-9960
K KomulainenDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
J AiraksinenFinnish Institute of Occupational Health, Helsinki, Finland.
A VäänänenFinnish Institute of Occupational Health, Helsinki, Finland.
A KoskinenFinnish Institute of Occupational Health, Helsinki, Finland.
R SundInstitute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0002-6268-8117
Finnish Institute of Occupational Health · FIUniversity of Eastern Finland · FIUniversity of Helsinki · FIFinnish Institute for Health and Welfare · FIFinnish Meteorological Institute · FI

Funding

European Research Council 101040247
6 · The paper itself

Abstract

aimsAlthough seasonality has been documented for mental disorders, it is unknown whether similar patterns can be observed in employee sickness absence from work due to a wide range of mental disorders with different severity level, and to what extent the rate of change in light exposure plays a role. To address these limitations, we used daily based sickness absence records to examine seasonal patterns in employee sickness absence due to mental disorders.

methodsWe used nationwide diagnosis-specific psychiatric sickness absence claims data from 2006 to 2017 for adult individuals aged 16-67 (

resultsUnipolar depressive disorders peaked in October-November and dipped in July, with similar associations in all forms of depression. Also, anxiety and non-organic sleep disorders peaked in October-November. Anxiety disorders dipped in January-February and in July-August, while non-organic sleep disorders dipped in April-August. Manic episodes reached a peak from March to July and dipped in September-November and in January-February. Seasonality was not dependent on the severity of the depressive disorder.

conclusionsThese results suggest a seasonal variation in sickness absence due to common mental disorders and bipolar disorder, with high peaks in depressive, anxiety and sleep disorders towards the end of the year and a peak in manic episodes starting in spring. Rapid changes in light exposure may contribute to sickness absence due to bipolar disorder. The findings can help clinicians and workplaces prepare for seasonal variations in healthcare needs.

Indexed as

Bipolar DisorderMental DisordersSleep Wake DisordersAdultHumansManiaSeasonsanxietybipolar disorderdepressionphotoperiodseasonalitysick leavesleeptrend

Identifiers

PMID37941381
PMCPMC7615330
OpenAlexW4388534702

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.