Evidence map›Paper›PMID 40623861›Full record

ArticleBMJ mental health2025

Premenstrual disorders and risk of sick leave and unemployment: a prospective cohort study of 15 857 women in Sweden.

Hang Yu, Yihui Yang, Elgeta Hysaj, Alicia Nevriana, Sara Hägg, Unnur Anna Valdimarsdóttir, Elizabeth Bertone-Johnson, Donghao Lu

Abstract read
In one paragraph

Article in BMJ mental health, 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
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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

8 authors.

Hang YuUnit of Integrative Epidemiology, Institute of Environmental Medicine, SE-171 77, Karolinska Institutet, Stockholm, Sweden hang.yu@ki.se donghao.lu@ki.se.ORCID 0009-0008-7397-8866
Yihui YangUnit of Integrative Epidemiology, Institute of Environmental Medicine, SE-171 77, Karolinska Institutet, Stockholm, Sweden.ORCID 0009-0002-0657-485X
Elgeta HysajUnit of Integrative Epidemiology, Institute of Environmental Medicine, SE-171 77, Karolinska Institutet, Stockholm, Sweden.ORCID 0009-0002-7114-6990
Alicia NevrianaUnit of Integrative Epidemiology, Institute of Environmental Medicine, SE-171 77, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-3434-2757
Sara HäggDepartment of Medical Epidemiology and Biostatistics, SE-171 77, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2452-1500
Unnur Anna ValdimarsdóttirUnit of Integrative Epidemiology, Institute of Environmental Medicine, SE-171 77, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-5382-946X
Elizabeth Bertone-JohnsonDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.ORCID 0000-0001-9977-9170
Donghao LuUnit of Integrative Epidemiology, Institute of Environmental Medicine, SE-171 77, Karolinska Institutet, Stockholm, Sweden hang.yu@ki.se donghao.lu@ki.se.ORCID 0000-0002-4186-8661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPremenstrual disorders (PMDs) are prevalent and impair women's quality of life, but their long-term influence on work capacity is unclear. Understanding the association between PMDs and subsequent sick leave and unemployment could inform interventions and policies.

objectiveWe hypothesised that women with PMDs have an increased risk of future sick leave and unemployment compared with those without PMDs.

methodsWe conducted a prospective cohort study involving 15 857 women aged 15-60 years who were employed at baseline in the LifeGene Study, with linkage to population and health registers in Sweden. PMDs were identified from clinical diagnoses and symptom questionnaires; sick leave and unemployment data were obtained from national registers. Poisson regression estimated incidence rate ratios (IRRs) for sick leave and unemployment in women with versus without PMDs.

findingsA total of 2585 (16.3%) women (mean age 32.5 years) had probable PMDs. Over a median 9.17-year follow-up, 6741 (42.5%) and 1485 (9.4%) experienced at least one sick leave or unemployment, respectively. Compared with women without PMDs, those with PMDs had a 40% higher risk of sick leave (IRR 1.40, 95% CI 1.31 to 1.49) and a 27% higher risk of unemployment (IRR 1.27, 95% CI 1.10 to 1.46). Risk elevations were pronounced for sick leave≥90 days (IRR 1.69, 95% CI 1.50 to 1.91) and depression-related sick leave (IRR 1.41, 95% CI 1.27 to 1.56). DISCUSSION: Women with PMDs are at increased risk of sick leave and unemployment, suggesting significant long-term socioeconomic burden associated with PMDs. CLINICAL IMPLICATIONS: This study underscores the need for greater awareness of PMDs in clinical practice. Healthcare providers should recognise the potential impairment at work associated with PMDs, especially in women with recurrent symptoms or comorbidities like anxiety or depression.

Indexed as

Premenstrual SyndromeSick LeaveUnemploymentAdolescentAdultFemaleHumansMiddle AgedProspective StudiesRisk FactorsSwedenYoung AdultAdult psychiatryDepression & mood disorders

Identifiers

PMID40623861
PMCPMC12258349

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Registered trials

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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.