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A systematic review and meta-analysis on the comorbidity of premenstrual dysphoric disorder or premenstrual syndrome with mood disorders: prevalence, clinical and neurobiological correlates

Published online by Cambridge University Press:  11 July 2025

Deniz Bengi
Affiliation:
Neuroscience Graduate Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Canada Mood Disorders Treatment and Research Centre and Women’s Health Concerns Clinic, St Joseph’s Healthcare Hamilton, Hamilton, Canada Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychology, Psychiatry, and Neurosciences, King’s College London, London, UK
Rebecca Strawbridge
Affiliation:
Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychology, Psychiatry, and Neurosciences, King’s College London, London, UK
Melisa Drorian
Affiliation:
Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychology, Psychiatry, and Neurosciences, King’s College London, London, UK
Mario F. Juruena
Affiliation:
Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychology, Psychiatry, and Neurosciences, King’s College London, London, UK Psychological Medicine and Integrated Care Clinical Academic Group, Maudsley National Health Service Trust, London, UK
Allan Young
Affiliation:
Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychology, Psychiatry, and Neurosciences, King’s College London, London, UK Psychological Medicine and Integrated Care Clinical Academic Group, Maudsley National Health Service Trust, London, UK
Benicio N. Frey
Affiliation:
Mood Disorders Treatment and Research Centre and Women’s Health Concerns Clinic, St Joseph’s Healthcare Hamilton, Hamilton, Canada Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Canada
Nefize Yalin*
Affiliation:
Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychology, Psychiatry, and Neurosciences, King’s College London, London, UK
*
Correspondence: Nefize Yalin. Email: nefize.yalin@kcl.ac.uk
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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.

Information

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal College of Psychiatrists
Figure 0

Table 1 Results of random-effects, pooled-prevalence meta-analysis

Figure 1

Fig. 1 Flow diagram of study selection process. PMDD, premenstrual dysphoric disorder; PMS, premenstrual syndrome; MD, mood disorder.

Figure 2

Fig. 2 The prevalence of lifetime PMDD/PMS comorbidity in the MD population (MD diagnosed first). BPD, bipolar disorder; BPD & UDD, mixed samples of individuals with bipolar or unipolar depressive disorder; MD, mood disorder; PMDD, premenstrual dysphoric disorder; PMDD/PMS, premenstrual dysphoric disorder or premenstrual syndrome; PMS, premenstrual syndrome; UDD, unipolar depressive disorder.

Figure 3

Fig. 3 The prevalence of lifetime MD comorbidity in the PMDD/PMS population (PMDD/PMS diagnosed first). BPD, bipolar disorder; BPD & UDD, mixed samples of individuals with bipolar or unipolar depressive disorders; MD, mood disorder; PMDD, premenstrual dysphoric disorder; PMDD/PMS, premenstrual dysphoric disorder or premenstrual syndrome; PMS, premenstrual syndrome.

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