Evidence map›Paper›PMID 42501176›Full record

ArticleJournal of community health2026

Partnership Loss and Receipt of Guideline-adherent Biennial Mammography Screening.

Demitra Canoutas, Neill Bates, Dmitry Tumin, Kelley Haven, James L Whiteside

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Article in Journal of community health, 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Demitra CanoutasDepartment of Obstetrics and Gynecology, Brody School of Medicine, East Carolina University, Greenville, 27834, NC, United States.
Neill BatesDepartment of Academic Affairs, Brody School of Medicine, East Carolina University, Greenville, 27834, NC, United States. Batesne24@ecu.edu.ORCID http://orcid.org/0009-0006-2222-7283
Dmitry TuminDepartment of Academic Affairs, Brody School of Medicine, East Carolina University, Greenville, 27834, NC, United States.
Kelley HavenDepartment of Obstetrics and Gynecology, Brody School of Medicine, East Carolina University, Greenville, 27834, NC, United States.
James L WhitesideDepartment of Obstetrics and Gynecology, Brody School of Medicine, East Carolina University, Greenville, 27834, NC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To examine the association between partnership dissolution and receipt of biennial mammography screening in a national cohort of older women. We used data from the Health and Retirement Study, a longitudinal study of older adults in the US. Our analysis used data from five waves spanning from 2004 to 2021, including women 52-76 years who were initially married/partnered. The primary outcome was receipt of mammography screening in the past two years, and the primary exposure was partnership status (partnered, divorced/separated, or widowed), assessed at the beginning of the two-year window. Fixed-effects logistic regression modeled the association between a change in partnership status and change in receipt of mammography screening. Our final sample had 5,628 respondents contributing 17,097 total observations. At their most recent wave, 76% received mammography screening, and across the study period, 3% became separated/divorced and 7% became widowed. On multivariable regression with fixed-effects specification, there was no significant change in mammography screening following separation/divorce (adjusted odds ratio [aOR]: 1.11; 95% confidence interval [CI]: 0.75, 1.64; p = 0.599), but the odds of screening decreased after becoming widowed (aOR: 0.72; 95% CI: 0.55, 0.95; p = 0.018), controlling for age and other time-varying covariates. This evidence suggests that bereaved older women may be susceptible to decreased engagement in mammography screening following the loss of a partner. Future endeavors should investigate strategies promoting re-engagement in preventive care, including breast cancer screening, among bereaved older women.

Indexed as

DivorceEarly Detection of CancerGuideline AdherenceMammographyMarital StatusAgedBreast NeoplasmsFemaleHumansLongitudinal StudiesMiddle AgedUnited StatesBreast cancerMammographyOlder adultsPartnership dissolution

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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.