Evidence map›Paper›PMID 39094054›Full record

ArticleMilitary medicine2025

The Relationship Between Physical Activity Profiles and Cardiovascular Disease Risk Factors: Results of a Cross-Sectional Survey of Active Duty U.S. Service Members.

Jimmy Dawood, James D Mancuso, Kasi Chu, Martin Ottolini, Anwar E Ahmed

Abstract read
In one paragraph

Article in Military medicine, 2025. 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

What it found

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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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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

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.

Jimmy DawoodF. Edward Hebert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.
James D MancusoDepartment of Preventive Medicine & Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.
Kasi ChuDepartment of Preventive Medicine & Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.
Martin OttoliniF. Edward Hebert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.
Anwar E AhmedDepartment of Preventive Medicine & Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.ORCID 0000-0001-8743-6007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to identify subgroups of active duty U.S. service members (ADSMs) based on physical activity levels and their association with cardiovascular disease (CVD) risk factors. Our secondary aim was to assess how these profiles vary across sociodemographic factors.

methodsA cross-sectional survey of ADSMs, yielding a 9.6% response rate and 17,166 usable surveys, was conducted by the DoD and RAND Corporation in 2018 using stratified random sampling. In this secondary analysis, latent subgroups of ADSMs were determined based on physical activity levels and a weighted multinomial logistic regression was used to examine associations.

resultsThree latent subgroups were identified as "High Activity" (17.1%), "Moderate Activity" (45.3%), and "Low Active" (37.6%). Older age, female, White (as compared to Hispanic), cohabiting, Air Force, Navy, and Coast Guard were associated with increased odds of "Low Active" membership. Compared to the "Low Active" class, the "High Active" class showed lower odds of hyperlipidemia (aOR = 0.62, 95% CI: 0.38, 0.99), hypertension (aOR = 0.69, 95% CI: 0.48, 0.98), and multimorbidity (aOR = 0.55, 95% CI: 0.38, 0.80). Compared to the "Low Active" class, the "Moderate Active" class showed lower odds of hyperlipidemia (aOR = 0.62, 95% CI: 0.47, 0.81) and multimorbidity (aOR = 0.66, 95% CI: 0.53, 0.83). Similar patterns of associations were seen in ADSMs who met the objectives for Healthy People 2030 (HP2030) standards.

conclusionsThe study emphasizes the importance of combining physical activity and strength training to reduce CVD risk factors, supporting the implementation of tailored physical activity programs within the military to align fitness standards.

Indexed as

Cardiovascular DiseasesExerciseMilitary PersonnelAdultCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansLogistic ModelsMaleMiddle AgedRisk FactorsSurveys and QuestionnairesUnited States

Identifiers

PMID39094054
PMCPMC11878771

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LicenceCC BY
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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.