Evidence map›Paper›PMID 42661375›Full record

ArticleActa obstetricia et gynecologica Scandinavica2026

Incidence and factors associated with intrauterine adhesions: An Australian population-based longitudinal study.

Chen Liang, Annette J Dobson, Thierry Vancaillie, Richard Hockey, Gita D Mishra

Abstract read
In one paragraph

Article in Acta obstetricia et gynecologica Scandinavica, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chen LiangAustralian Women and Girls' Health Research Centre, School of Public Health, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-0023-1066
Annette J DobsonAustralian Women and Girls' Health Research Centre, School of Public Health, The University of Queensland, Brisbane, Queensland, Australia.
Thierry VancaillieSchool of Women's and Children's Health, University of New South Wales, Sydney, New South Wales, Australia.
Richard HockeyAustralian Women and Girls' Health Research Centre, School of Public Health, The University of Queensland, Brisbane, Queensland, Australia.
Gita D MishraAustralian Women and Girls' Health Research Centre, School of Public Health, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-9610-5904

Funding

National Health and Medical Research Council APP1153420National Health and Medical Research Council APP2009577
6 · The paper itself

Abstract

introductionIntrauterine adhesions (IUAs) describe a condition characterized by scar tissue that forms inside the uterus, which is associated with menstrual irregularities, infertility, and pregnancy loss. In the general population, the incidence of IUAs is largely unknown, as well as associated sociodemographic factors and other menstrual symptoms. This study aims to estimate the incidence of IUAs in the general population and explore the associated sociodemographic factors and menstrual symptoms. MATERIAL AND

methodsData from the Australian Longitudinal Study on Women's Health (ALSWH) was used. Women born in 1973-1978 were followed up from 1996 to 2021. The occurrence of IUAs was identified through hospital admissions and other health service records. The cumulative incidence and 5-year incidence of reported IUAs with confidence intervals (CIs) were calculated using exact methods and the Poisson regression models, respectively. Log-binomial models were used to assess the association between individual factors and reported IUAs.

resultsAmong the 13 133 women who were followed up from a median age of 20.7 years to 47.1 years, 2.7% (95% CI: 2.4-3.0%) had reported IUAs. The incidence rates of IUAs were below 5/10 000 person-years for women aged < 30 and increased from 11.8/10 000 person-years (95% CI: 9.4-14.7) to 15.7/10 000 person-years (95% CI: 12.9-19.1) among women aged 31-35 to those aged 41-45, respectively. Women living in metropolitan areas (Risk Ratio [RR] = 1.47, 95% CI: 1.15-1.87), having private health insurance (RR = 3.29, 95% CI: 2.49-4.35), experiencing severe period pain sometimes or often (RR = 1.76, 95% CI: 1.32-2.34 or RR = 1.92, 95% CI: 1.37-2.68, respectively) or heavy periods sometimes or often (RR = 1.65, 95% CI: 1.25-2.18 or RR = 1.92, 95% CI: 1.39-2.65, respectively) were more likely to have recorded IUAs.

conclusionsIn this national cohort, around one in 40 women had a report of IUAs, which was associated with better access to health services and menstrual symptoms. These findings clarify health issues related to IUAs and lay the groundwork for future studies.

Indexed as

heavy periodsincidenceintrauterine adhesionssevere period painsociodemographic factors

Identifiers

PMID42661375
PMCPMC13522671

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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.