Evidence map›Paper›PMID 40081741›Full record

ArticlePreventive medicine2025

Association between specific types of physical activities and cardiometabolic biomarkers: A comparative analysis between metabolic equivalent of task score and biomarker-weighted activity score in relation to type 2 diabetes in US health professionals.

Yiwen Zhang, Dong Hoon Lee, Leandro F M Rezende, Edward L Giovannucci

Abstract readComparative Study
In one paragraph

Article in Preventive medicine, 2025. 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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Yiwen ZhangDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: yzhang@hsph.harvard.edu.
Dong Hoon LeeDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Sport Industry Studies, Yonsei University, Seoul, Republic of Korea.
Leandro F M RezendeDepartment of Preventive Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, Sao Paulo, Brazil; Faculty of Health Sciences, Universidad Autónoma de Chile, Providencia 7500912, Chile.
Edward L GiovannucciDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Premonopausal Hormone Levels and Risk of Breast CancerR01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HANKINSON, SUSAN E · 2002 to 2011
$11.9M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA067262NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

objectiveTo examine specific physical activities' associations with biomarkers and compare metabolic equivalent of task (MET) score with biomarker-weighted score for type 2 diabetes (T2D) risk.

methodsWe used data from three large US prospective cohorts (1988/1991-2018/2019). Nine activities - walking, jogging, running, bicycling, lap swimming, tennis/squash, other aerobics, weightlifting, and heavy outdoor work - were assessed biennially. Biomarker analysis included 25,438 participants with data on C-peptide, C-reactive protein (CRP), intercellular adhesion molecule 1, leptin/adiponectin, and triglycerides/high-density lipoprotein cholesterol (TG/HDL). T2D risk analysis involved 183,892 participants followed for up to 30 years. Models were adjusted for confounders and total physical activity excluding the one of interest.

resultsRunning demonstrated the strongest association with a healthier cardiometabolic profile, followed by jogging, aerobics and weightlifting. For every one hour/week of running, the percent difference in concentration was -4.4 % for C-peptide, -6.6 % for CRP, -11.5 % for leptin/adiponectin, and -5.6 % for TG/HDL (all P < 0.001). Adjusting for body mass index (BMI) slightly weakened the associations for these activities but they remained statistically significant. Walking and tennis/squash showed modest biomarker associations and became null after BMI adjustment. No association was observed for bicycling, lap swimming and heavy outdoor work, likely due to lacking intensity data. The biomarker-weighted score (90th vs. 10th of total physical activity, HR = 0.52; 95%CI, 0.50-0.55) had a stronger association with T2D risk than the MET score (HR = 0.61; 95%CI, 0.58-0.63).

conclusionsTypes of physical activity had distinct associations with cardiometabolic biomarkers. A biomarker-weighted score performs better than MET score for T2D risk.

Indexed as

BiomarkersDiabetes Mellitus, Type 2ExerciseMetabolic EquivalentAdiponectinAdultC-PeptideC-Reactive ProteinFemaleHumansIntercellular Adhesion Molecule-1LeptinMaleMiddle AgedProspective StudiesTriglyceridesAdiponectinBiomarkersC-PeptideC-Reactive ProteinIntercellular Adhesion Molecule-1LeptinTriglyceridesCardiometabolic biomarkersPhysical activityPreventionRisk factorType 2 diabetes

Identifiers

PMID40081741
PMCPMC12003060

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.