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Systematic review, 2026

How often do mood disorders and PMS or PMDD occur together?

Very often. Between 42% and 49% of women have both PMS or PMDD and a mood disorder at the same time, depending on which condition was diagnosed first.

Strong study design 3646 women with diagnoses of PMDD/PMS and mood disorders from 36 studies

What they did

They reviewed and analysed 39 studies (36 contributing to the analysis with 3646 women total) looking at the link between mood disorders and PMS or PMDD. Seven studies focused on bipolar disorder, 18 on depression, and 14 on both.

What they found

Random-effects pooled-prevalence meta-analyses showed consistently high comorbidity rates between PMDD/PMS and mood disorders, ranging from 42% (95% CI: 30%, 55%) to 49% (95% CI: 38%, 60%) across sampling strategies.

What it means for you

PMS and PMDD often occur together with mood disorders. Understanding this link could help improve diagnosis and treatment. The main limitations are that studies varied in their design, many were cross-sectional rather than following people over time, and some used only provisional PMDD/PMS diagnoses rather than confirmed ones.

42-49%

rate of comorbidity between PMDD/PMS and mood disorders

39

studies included in review

3646

women in meta-analysis

About the study

Original title
A systematic review and meta-analysis on the comorbidity of premenstrual dysphoric disorder or premenstrual syndrome with mood disorders: prevalence, clinical and neurobiological correlates
Authors
Bengi D, Strawbridge R, Drorian M et al.
Journal
The British journal of psychiatry : the journal of mental science
Year
2026
Study design
Systematic review
Open access
Yes
Original abstract

Background: Mood disorders are among the leading causes of disease burden worldwide, with 20-70% of affected individuals experiencing comorbid premenstrual disorders. This systematic review and meta-analysis investigated the comorbidity of premenstrual dysphoric disorder (PMDD) or premenstrual syndrome (PMS) with non-reproductive mood disorders. Aims: We aimed to determine the pooled prevalence of PMDD/PMS with adult mood disorders, assess the impact of comorbidity on clinical course and summarise the associated neurobiological findings. Method: Eligible studies were identified through Embase, MEDLINE and APA PsycINFO from inception to 22 January 2024 (PROSPERO, no. CRD42021246796). Studies on women ('females') with diagnoses of PMDD/PMS and mood disorders were included. Risk of bias was assessed using National Institutes of Health quality assessment tools. A random-effects, pooled-prevalence meta-analysis was conducted using the Comprehensive Meta-Analysis software, categorising diagnostic sampling strategies as follows: mood disorders diagnosed first, PMDD/PMS diagnosed first or concurrent diagnoses. A narrative synthesis explored secondary outcomes, including illness course and biomarkers. Results: A total of 39 studies were included, with 36 of these ( n = 3646) contributing to the meta-analysis. Seven studies focused on bipolar disorders, 18 on unipolar depressive disorders and 14 on mixed samples of bipolar and unipolar disorders. Random-effects pooled-prevalence meta-analyses showed consistently high comorbidity rates between PMDD/PMS and mood disorders, ranging from 42% (95% CI: 30%, 55%) to 49% (95% CI: 38%, 60%) across sampling strategies. Risk of bias varied, with methodological heterogeneity noted. Conclusions: This review underscores high comorbidity rates between PMDD/PMS and mood disorders, regardless of sampling strategy, and highlights the need for research into clinical and neurobiological characteristics specific to this comorbidity. Limitations include study heterogeneity, reliance on cross-sectional designs and provisional PMDD/PMS diagnoses. Future research should address these gaps to inform diagnostic and therapeutic advancements tailored to this population.

Reproduced under CC-BY.

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