Evidence map›Paper›PMID 40718011›Full record

ArticlePrzeglad menopauzalny = Menopause review2025

Age at menopause and multimorbidity in postmenopausal women.

Zailing Xing, Russell S Kirby

Abstract read
In one paragraph

Article in Przeglad menopauzalny = Menopause review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Zailing XingCollege of Public Health, University of South Florida, Tampa, United States.
Russell S KirbyCollege of Public Health, University of South Florida, Tampa, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: We examined the association between age at menopause and multimorbidity in postmenopausal women in the United States. Material and methods: The data were obtained from the National Health and Nutrition Examination Survey (2007-2010, 2013-2014, and 2017-2018), which included 3168 postmenopausal women over 40 years old. The exposure variable was age at menopause, while the outcome variable was multimorbidity, defined as having 2 or more health conditions. Health conditions included hypertension, diabetes, cardiovascular disease (CVD), cancer, arthritis, obesity, osteoporosis, thyroid disease, chronic bronchitis, emphysema, and liver conditions. Logistic regression models were employed to estimate unadjusted and adjusted odds ratios (OR) and 95% confidence intervals. We also used logistic regression models with restricted cubic splines to illustrate the association between continuous menopausal age and multimorbidity. Results: The adjusted OR for multimorbidity in women with age at menopause of < 40, 40-44, and 55+ years were 4.25 (3.07-5.89), 1.46 (1.08-1.99), and 0.61 (0.43-0.85), respectively, compared to age at menopause of 45-54 years. Premature menopause was associated with every health condition and multimorbidity except for liver conditions. Early menopause was related to hypertension and CVD. Continuous menopausal age, regardless of menopausal type, presented inverse and linear associations with multimorbidity. The study found no significant interaction effects between age at menopause and hormone therapy on the association between age at menopause and multimorbidity. Conclusions: Premature or early menopause was associated with increased risks of developing multiple health conditions. Implementing early surveillance and intervention strategies is imperative to mitigate the burden of multimorbidity among women undergoing premature or early menopause.

Indexed as

cardiovascular diseasediabeteshypertensionmenopausemultimorbidity

Identifiers

PMID40718011
PMCPMC12288495

What OpenQuestion holds

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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.