Evidence map›Paper›PMID 42207323›Full record

ArticleArchives of women's mental health2026

ADHD and the female reproductive stages: menstruation, perinatal and menopause.

Christine Boyd, Margo Wrigley, Ken Kilbride, Aisling Mulligan, Jessica Bramham

Abstract read
In one paragraph

Article in Archives of women's mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Christine BoydSchool of Psychology, University College Dublin, Dublin, Ireland.ORCID 0009-0002-8131-4994
Margo WrigleyHealth Service Executive, Dublin, Ireland.
Ken KilbrideADHD Ireland, Dublin, Ireland.
Aisling MulliganSchool of Medicine, University College Dublin, Dublin, Ireland.ORCID 0000-0001-7708-1177
Jessica BramhamSchool of Psychology, University College Dublin, Dublin, Ireland. jessica.bramham@ucd.ie.ORCID 0000-0002-6696-7500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGender differences in the presentation of Attention-Deficit/Hyperactivity Disorder (ADHD) are well-documented, yet the interaction between ADHD and female reproductive stages remains underexplored. This study investigates how ADHD impacts menstruation, perinatal experiences, and menopausal symptoms in females.

methodsA cross-sectional study was conducted with 602 females (mean age = 39.52; SD = 10.21), including 377 with self-reported ADHD and 225 without, recruited through ADHD support groups, social media, Volunteer Ireland, and Prolific. Participants reported their menstrual regularity and completed the Premenstrual Symptoms Screening Tool (PSST). Retrospective postpartum depression levels were measured using the Edinburgh Postnatal Depression Scale (EPDS), and peri- and post-menopausal symptoms were evaluated using the Greene Climacteric Scale (GCS).

resultsFemales with ADHD exhibited significantly higher rates of menstrual irregularity (χ2 = 14.2, p < .001), more severe premenstrual symptoms (χ2 = 204.7, p < .001), elevated postpartum depression levels (t = 7.89, p < .001) with increased risk of unplanned pregnancies and pregnancy-related complications, and greater menopausal symptom severity (t = 9.61, p < .001) compared to their non-ADHD counterparts.

conclusionsThese findings highlight a higher prevalence of reproductive-related challenges in females with ADHD, underscoring the need for further research in this area and more in-depth analysis. They emphasise the importance of integrating ADHD considerations into female health research and clinical practice.

Indexed as

Attention Deficit Disorder with HyperactivityDepression, PostpartumMenopauseMenstruationMenstruation DisturbancesAdultCross-Sectional StudiesFemaleHumansIrelandMiddle AgedPregnancyRetrospective StudiesADHDFemale healthMenopausePerinatalPMDDWomen’s health

Identifiers

PMID42207323
PMCPMC13219175

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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.