Evidence map›Paper›PMID 42607922›Full record

ArticleFertility and sterility2026

Neighborhood disadvantage and menstrual disturbances in a preconception cohort.

Ruth J Geller, Mary D Willis, Collette N Ncube, Kipruto Kirwa, Wendy Kuohung, Donna D Baird, Lauren A Wise, Amelia K Wesselink

Abstract read
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Article in Fertility and sterility, 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

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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

8 authors.

Ruth J GellerDepartment of Epidemiology, Boston University School of Public Health, Boston, Massachusetts. Electronic address: rgeller@bu.edu.
Mary D WillisDepartment of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.
Collette N NcubeDepartment of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.
Kipruto KirwaDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.
Wendy KuohungDepartment of Obstetrics & Gynecology, Boston University Chobanian and Avedisian School of Medicine, Boston Medical Center, Boston, Massachusetts.
Donna D BairdEpidemiology Branch, National Institute of Environmental Health Science, Durham, North Carolina.
Lauren A WiseDepartment of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.
Amelia K WesselinkDepartment of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.

Funding

An internet-based preconception cohort study in North America and DenmarkR01HD086742 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LAUREN A WISE · 2016 to 2026
$6.7M
A preconception cohort study of air pollution, fertility, and miscarriageR01ES028923 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LAUREN A WISE, Amelia Kent Wesselink · 2018 to 2026
$4.3M
Understanding racial and ethnic disparities in preterm birth: a systems science approachK01MD013911 · NIMHD · NORTHEASTERN UNIVERSITY · PI NCUBE, COLLETTE N · 2019 to 2023
$688k
NICHD NIH HHS R01 HD086742NIEHS NIH HHS R01 ES028923NIMHD NIH HHS K01 MD013911
6 · The paper itself

Abstract

objectiveNeighborhood disadvantage is associated with adverse reproductive health outcomes, but its association with menstrual disturbances is understudied. Our objective was to estimate the association between neighborhood socioeconomic disadvantage and prevalence of menstrual disturbances (abnormal uterine bleeding and dysmenorrhea).

designWe conducted a cross-sectional analysis of 8,198 participants in Pregnancy Study Online, an internet-based preconception cohort study, enrolled during October 2014-September 2024. SUBJECTS: Participants were aged 21-39 years, US residents, and not using contraceptives or fertility treatment. EXPOSURE: We linked within-state Area Deprivation Index percentiles to residential addresses by block group and year.

main outcome measuresWe used self-reported data on typical menstrual cycle characteristics to define abnormal uterine bleeding (irregular cycles, duration of flow ≥7 days, heavy bleeding, or cycle length <24 or >38 days) and dysmenorrhea (severe pain requiring medication use and bed rest). We estimated prevalence ratios and 95% confidence intervals (CI) for associations of Area Deprivation Index quartiles with abnormal uterine bleeding and dysmenorrhea using modified Poisson regression models.

resultsNeighborhood disadvantage was positively associated with the prevalence of abnormal uterine bleeding (most [Q4] vs. least disadvantaged [Q1] quartile: prevalence ratio = 1.16, 95% CI: 1.05-1.29) and dysmenorrhea (Q4 prevalence ratio = 1.44, 95% CI: 1.12-1.85) in models adjusted for age, year, parent's educational attainment, race, and ethnicity. After further adjustment for participant household income, the association between neighborhood disadvantage and abnormal uterine bleeding prevalence was attenuated (Q4 prevalence ratio = 0.99, 95% CI: 0.89-1.10), whereas neighborhood disadvantage was positively, nonmonotonically associated with dysmenorrhea prevalence (Q2 prevalence ratio = 1.40, 95% CI: 1.13-1.74; Q3 prevalence ratio = 1.42, 95% CI: 1.13-1.77; and Q4 prevalence ratio = 1.21, 95% CI: 0.93-1.56).

conclusionLiving in a more disadvantaged neighborhood was associated with a higher prevalence of menstrual disturbances, particularly dysmenorrhea.

Indexed as

dysmenorrheaMenstruation disturbancesneighborhoodsocioeconomic disparities in health

Identifiers

PMID42607922
PMCPMC13684903

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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.