Evidence map›Paper›PMID 40898142›Full record

ArticleBMC public health2025

The association between physical activity and mammography screening utilization: a longitudinal analysis, health retirement study (2004-2016).

Noof Alabdullatif, Alejandro Arrieta, Lucie Dlugasch, Nan Hu

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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

4 authors.

Noof AlabdullatifDepartment of Health Policy and Management, FIU Robert Stempel College of Public Health and Social Work, Miami, FL, USA.
Alejandro ArrietaDepartment of Health Policy and Management, FIU Robert Stempel College of Public Health and Social Work, Miami, FL, USA.
Lucie DlugaschDepartment of Graduate Nursing, Nicole Wertheim College of Nursing & Health Sciences, Miami, FL, USA.
Nan HuDepartment of Biostatistics, FIU Robert Stempel College of Public Health and Social Work, 11200 8th Street, ACH5-467, Miami, FL, 33199, USA. nhu@fiu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePhysical inactivity is a well-known factor associated with an increased risk of breast cancer. However, there is a disparity in physical activity levels among women in the United States. These disparities are associated with differences in women’s mammography screening behaviors, which may contribute to disparities in breast cancer incidence and outcomes. This study aims to evaluate the association between physical activity and the utilization of mammography screening. It also assesses whether this association is modified by women’s race/ethnicity and age.

methodsThis is a longitudinal study that used the Health and Retirement Study data from 2004 to 2016. A total of 18,157 women aged 40 years and older were included. The 2004 wave was used as the baseline, with follow-up conducted in 2008, 2012, and 2016 (wave 9, 11, and 13 respectively). Mixed-effects logistic regression models were used, and odds ratios were reported.

resultsThe study found a significant positive association between physical activity and mammography utilization. After adjusting for confounding variables, women who were physically active had 1.31 times the odds of undergoing mammography screening compared to those who were inactive (95% CI: 1.13–1.51, p < 0.001). The association between physical activity and mammography screening utilization was weaker among Hispanic women.

conclusionInterventions encouraging physical activity targeting racial/ethnic minorities may contribute to increasing mammography screening utilization and reducing breast cancer disparity.

Indexed as

Early Detection of CancerExerciseMammographyAdultAgedBreast NeoplasmsFemaleHumansLongitudinal StudiesMiddle AgedUnited StatesBreast cancer screeningMammography utilizationPhysical activity, health disparity

Identifiers

PMID40898142
PMCPMC12406420

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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.