Evidence map›Paper›PMID 39777681›Full record

ArticlePaediatric and perinatal epidemiology2025

Early-Life Exposures and Odds of Adenomyosis: A Population-Based Case-Control Study.

Mandy S Hall, Holly R Harris, Sawsan As-Sanie, Kristen Upson

Abstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mandy S HallDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0003-0093-8392
Holly R HarrisDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA.
Sawsan As-SanieDepartment of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, USA.
Kristen UpsonDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA.

Funding

Reproductive and Hormonal Risk Factors for AdenomyosisR01HD040398 · NICHD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HOLT, VICTORIA L · 2002 to 2006
$2.9M
Influence of Diet, Iron Stores, and Toxic Metals on Uptakes and Effects on Uterine Fibroid Risk in African American WomenR00NR017191 · NINR · MICHIGAN STATE UNIVERSITY · PI UPSON, KRISTEN · 2019 to 2021
$740k
Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD040398NICHD NIH HHS R01 HD040398NIH HHSNINR NIH HHS R00 NR017191NINR NIH HHS R00NR017191
6 · The paper itself

Abstract

backgroundAdenomyosis can confer life-altering symptoms such as pelvic pain. Yet, the epidemiologic study of this uterine condition lags other gynaecologic conditions. This includes the investigation of intrauterine exposures that could disrupt foetal development and contribute to the presence of adenomyosis in adulthood.

objectiveWe investigated nine early-life factors and the odds of adenomyosis using data from a population-based case-control study of enrollees of an integrated healthcare system in Washington State ages 18-59.

methodsCases (n = 386) had incident, pathology-confirmed adenomyosis diagnosed between 2001 and 2006. Two control groups were employed: hysterectomy controls (n = 233) and randomly selected age-matched enrollees with an intact uterus ('population controls', n = 323). The primary study activity was a structured in-person interview; participants were also mailed a family history questionnaire that included questions on early-life factors. We conducted logistic regression to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI) for the associations between early-life factors and adenomyosis.

resultsComparing cases to population controls, our data suggested an 80% increased odds of adenomyosis with younger maternal age at participant's birth (≤ 19 vs. ages 25-29) (aOR 1.81, 95% CI 0.94, 3.50) and a 50% increased odds of adenomyosis for participants who were the fourth or later live birth (vs. firstborn) (aOR 1.51, 95% CI 0.88, 2.59). Among never-smoking participants, our data suggested a 50% increased odds of adenomyosis with intrauterine exposure to cigarette smoking (aOR 1.50, 95% CI 0.92, 2.46). In analyses using hysterectomy controls, these associations were attenuated.

conclusionsThese data suggested that several intrauterine exposures were associated with increased odds of adenomyosis in adulthood. The intrauterine period may be a susceptible window for subsequent development of adenomyosis and warrants further investigation.

Indexed as

AdenomyosisPrenatal Exposure Delayed EffectsAdolescentAdultCase-Control StudiesFemaleHumansLogistic ModelsMiddle AgedOdds RatioPregnancyRisk FactorsWashingtonYoung Adultadenomyosiscase–controlearly‐lifeepidemiologypopulation‐based

Identifiers

PMID39777681
PMCPMC11866745

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