Evidence map›Paper›PMID 41121728›Full record

ArticleAmerican journal of epidemiology2026

Evaluating the association between upstream perceived individual and neighborhood determinants of health and intensity of breast cancer screening.

Faith Morley, Anjile An, Vivian Bea, Rulla M Tamimi, Kevin H Kensler

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. 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

5 authors.

Faith MorleyDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.ORCID 0009-0001-1179-0840
Anjile AnDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.ORCID 0000-0002-5715-1710
Vivian BeaDepartment of Surgery, Weill Cornell Medical College, New York, NY, United States.ORCID 0000-0002-5658-9577
Rulla M TamimiDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.ORCID 0000-0003-2306-8668
Kevin H KenslerDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.ORCID 0000-0001-7515-7270

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
Dean's Office of Weill Cornell Medicine through a Ritu Banga Healthcare Disparities Research AwardNational Cancer Institute of the National Institutes of Health R00CA245900National Institutes of Health, Office of the Director: Regional Medical CentersNCI NIH HHS R00 CA245900NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196Sandra and Edward Meyer Cancer Center at Weill Cornell Medicine
6 · The paper itself

Abstract

Exposure to negative perceived individual and neighborhood determinants disproportionately impacts marginalized groups and can profoundly shape health behavior. We assessed the hypothesized relationship between exposure to adverse perceived individual and neighborhood determinants and rates of mammography. In this cohort study, we identified 31 568 female participants aged 40-74 without history of breast cancer in the All of Us Research Program. Participant-reported levels of perceived stress, everyday discrimination, perceived neighborhood physical disorder, perceived neighborhood social cohesion, and receipt of mammography were ascertained in the linked participant survey and electronic health record data. Fifty-two percent of participants had at least 1 mammogram during follow-up. Women reporting high stress were screened at lower rates compared to low-stress individuals. Higher discrimination (incidence rate ratio [IRR] = 0.92 [95% CI, 0.88-0.95]) and higher perceived stress (IRR = 0.84 [95% CI, 0.79-0.90) were both respectively associated with lower breast cancer screening rates, while perceived neighborhood physical disorder and social cohesion were not. Women reporting high stress and discrimination were also less likely to be compliant with screening guidelines. The associations between the determinants and breast cancer screening rates did not differ by race and ethnicity. Women who report highest levels of discrimination and stress may face additional barriers obtaining breast cancer screening.

Indexed as

Breast NeoplasmsEarly Detection of CancerMammographyNeighborhood CharacteristicsResidence CharacteristicsSocial Determinants of HealthAdultAgedFemaleHumansMiddle AgedStress, PsychologicalUnited Statesbreast cancer screeningdirected acyclic graphhealth disparitiesnegative controlsocial determinants of healthstructural racism

Identifiers

PMID41121728
PMCPMC12665220

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.