Evidence map›Paper›PMID 36941638›Full record

ArticleBMC medicine2023

The association between menstrual cycle characteristics and cardiometabolic outcomes in later life: a retrospective matched cohort study of 704,743 women from the UK.

Kelvin Okoth, William Parry Smith, G Neil Thomas, Krishnarajah Nirantharakumar, Nicola J Adderley

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In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Endocrine modulation of cortical and retinal baseline perfusion across the menstrual cycle.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
  3. Article
  4. Review
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  7. Tailoring cardiovascular risk prediction to females.The Journal of endocrinology · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Promoting Healthy Longevity Should Start Young: A Life Course Journey.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2024
    Article
  16. Article
  17. Article
  18. Review
  19. 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

5 authors at 1 institution in 1 country.

Kelvin OkothInstitute of Applied Health Research, IOEM Building, University of Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
William Parry SmithInstitute of Applied Health Research, IOEM Building, University of Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
G Neil Thomas *Institute of Applied Health Research, IOEM Building, University of Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Krishnarajah Nirantharakumar *Institute of Applied Health Research, IOEM Building, University of Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. K.Nirantharan@bham.ac.uk.
Nicola J Adderley *Institute of Applied Health Research, IOEM Building, University of Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
University of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFemale reproductive factors are gaining prominence as factors that enhance cardiovascular disease (CVD) risk; nonetheless, menstrual cycle characteristics are under-recognized as a factor associated with CVD. Additionally, there is limited data from the UK pertaining to menstrual cycle characteristics and CVD risk.

methodsA UK retrospective cohort study (1995-2021) using data from a nationwide database (The Health Improvement Network). Women aged 18-40 years at index date were included. 252,325 women with history of abnormal menstruation were matched with up to two controls. Two exposures were examined: regularity and frequency of menstrual cycles; participants were assigned accordingly to one of two separate cohorts. The primary outcome was composite cardiovascular disease (CVD). Secondary outcomes were ischemic heart disease (IHD), cerebrovascular disease, heart failure (HF), hypertension, and type 2 diabetes mellitus (T2DM). Cox proportional hazards regression models were used to derive adjusted hazard ratios (aHR) of cardiometabolic outcomes in women in the exposed groups compared matched controls.

resultsDuring 26 years of follow-up, 20,605 cardiometabolic events occurred in 704,743 patients. Compared to women with regular menstrual cycles, the aHRs (95% CI) for cardiometabolic outcomes in women with irregular menstrual cycles were as follows: composite CVD 1.08 (95% CI 1.00-1.19), IHD 1.18 (1.01-1.37), cerebrovascular disease 1.04 (0.92-1.17), HF 1.30 (1.02-1.65), hypertension 1.07 (1.03-1.11), T2DM 1.37 (1.29-1.45). The aHR comparing frequent or infrequent menstrual cycles to menstrual cycles of normal frequency were as follows: composite CVD 1.24 (1.02-1.52), IHD 1.13 (0.81-1.57), cerebrovascular disease 1.43 (1.10-1.87), HF 0.99 (0.57-1.75), hypertension 1.31 (1.21-1.43), T2DM 1.74 (1.52-1.98).

conclusionsHistory of either menstrual cycle irregularity or frequent or infrequent cycles were associated with an increased risk of cardiometabolic outcomes in later life. Menstrual history may be a useful tool in identifying women eligible for periodic assessment of their cardiometabolic health.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Heart FailureHypertensionMyocardial IschemiaCohort StudiesFemaleHumansMenstrual CycleMenstruation DisturbancesRetrospective StudiesRisk FactorsUnited KingdomCardiovascular diseaseHypertensionMenstrual cycleType 2 diabetes mellitus

Identifiers

PMID36941638
PMCPMC10029324
OpenAlexW4328049314

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Textfull text, public
LicenceCC BY
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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.