Evidence map›Paper›PMID 38488779›Full record

ArticleJAMA health forum2024

Health and Economic Value of Eliminating Socioeconomic Disparities in US Youth Physical Activity.

Tiffany M Powell-Wiley, Marie F Martinez, Jessie Heneghan, Colleen Weatherwax, Foster Osei Baah, Kavya Velmurugan, Kevin L Chin, Colby Ayers, Manuel A Cintron, Lola R Ortiz-Whittingham and 9 more

Abstract read
In one paragraph

Article in JAMA health forum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

19 authors.

Tiffany M Powell-WileySocial Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Marie F MartinezPublic Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York.
Jessie HeneghanPublic Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York.
Colleen WeatherwaxPublic Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York.
Foster Osei BaahSocial Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Kavya VelmuruganPublic Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York.
Kevin L ChinPublic Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York.
Colby AyersSocial Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Manuel A CintronSocial Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Lola R Ortiz-WhittinghamSocial Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Dana SandlerSocial Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Sonal ShardaSocial Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Meredith WhitleyRuth S. Ammon College of Education and Health Sciences, Adelphi University, Garden City, New York.
Sarah M BartschPublic Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York.
Kelly J O'SheaPublic Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York.
Alexandra TsintsifasPublic Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York.
Alexis DibbsPublic Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York.
Sheryl A ScannellPublic Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York.
Bruce Y LeePublic Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York, New York.

Funding

Tailoring Mobile Health Technology to Reduce Obesity and ImproveCardiovascular Health in Resource-Limited Neighborhood Environments: A Multi-Level, Community-Based Physical Activity InterventionZIAHL006225 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI POWELL-WILEY, TIFFANY · 2017 to 2025
$9.7M
Cardiovascular Health and Needs Assessment in Washington D.C.ZIAHL006168 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI POWELL-WILEY, TIFFANY · 2013 to 2025
$8.1M
Pilot Study for Geospatial Analysis of Neighborhood Environmental Stress in Relation to Biological Markers of Cardiovascular Health and Health Behaviors in WomenZIAHL006252 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI POWELL-WILEY, TIFFANY · 2020 to 2025
$5.7M
Project 4: Virtual Public Health Precision Nutrition LaboratoryU54TR004279 · NCATS · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI Bruce Y Lee · 2022 to 2026
$5.4M
NIMHD Adjunct Investigator ProgramZIJMD000010 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI CHOI, KELVIN · 2017 to 2025
$3.4M
Simulating the Spread and Control of Multiple MDROs Across a Network of Different Nursing HomesP01AI172725 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI HUANG, SUSAN S. · 2023 to 2023
$2.9M
Regional Healthcare Ecosystem Analyst (RHEA) Modeling the Environment (MODE): SARS-CoV-2R01GM127512 · NIGMS · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI LEE, BRUCE Y · 2020 to 2023
$2.1M
MOdeling Nursing homes to Affect Response to COVID-19 (MONARC)R01HS028165 · AHRQ · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI LEE, BRUCE Y · 2021 to 2022
$993k
AHRQ HHS R01 HS028165Intramural NIH HHS ZIA HL006168Intramural NIH HHS ZIA HL006225Intramural NIH HHS ZIA HL006252Intramural NIH HHS ZIJ MD000010NCATS NIH HHS U54 TR004279NIAID NIH HHS P01 AI172725NIGMS NIH HHS R01 GM127512
6 · The paper itself

Abstract

Importance: There are considerable socioeconomic status (SES) disparities in youth physical activity (PA) levels. For example, studies show that lower-SES youth are less active, have lower participation in organized sports and physical education classes, and have more limited access to PA equipment. Objective: To determine the potential public health and economic effects of eliminating disparities in PA levels among US youth SES groups. Design and Setting: An agent-based model representing all 6- to 17-year-old children in the US was used to simulate the epidemiological, clinical, and economic effects of disparities in PA levels among different SES groups and the effect of reducing these disparities. Main Outcomes and Measures: Anthropometric measures (eg, body mass index) and the presence and severity of risk factors associated with weight (stroke, coronary heart disease, type 2 diabetes, or cancer), as well as direct and indirect cost savings. Results: This model, representing all 50 million US children and adolescents 6 to 17 years old, found that if the US eliminates the disparity in youth PA levels across SES groups, absolute overweight and obesity prevalence would decrease by 0.826% (95% CI, 0.821%-0.832%), resulting in approximately 383 000 (95% CI, 368 000-399 000) fewer cases of overweight and obesity and 101 000 (95% CI, 98 000-105 000) fewer cases of weight-related diseases (stroke and coronary heart disease events, type 2 diabetes, or cancer). This would result in more than $15.60 (95% CI, $15.01-$16.10) billion in cost savings over the youth cohort's lifetime. There are meaningful benefits even when reducing the disparity by just 25%, which would result in $1.85 (95% CI, $1.70-$2.00) billion in direct medical costs averted and $2.48 (95% CI, $2.04-$2.92) billion in productivity losses averted. For every 1% in disparity reduction, total productivity losses would decrease by about $83.8 million, and total direct medical costs would decrease by about $68.7 million. Conclusions and Relevance: This study quantified the potential savings from eliminating or reducing PA disparities, which can help policymakers, health care systems, schools, funders, sports organizations, and other businesses better prioritize investments toward addressing these disparities.

Indexed as

Coronary DiseaseDiabetes Mellitus, Type 2NeoplasmsStrokeAdolescentChildExerciseHumansObesityOverweightSocioeconomic Disparities in Health

Identifiers

PMID38488779
PMCPMC10943408

What OpenQuestion holds

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Registered trials

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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.