Evidence map›Paper›PMID 32842915›Full record

ArticleCirculation research2020

Association of Habitual Physical Activity With Cardiovascular Disease Risk.

Honghuang Lin, Mayank Sardana, Yuankai Zhang, Chunyu Liu, Ludovic Trinquart, Emelia J Benjamin, Emily S Manders, Kelsey Fusco, Jelena Kornej, Michael M Hammond and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Circulation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% of its field
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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

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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

17 authors at 7 institutions in 4 countries.

Honghuang Lin *Section of Computational Biomedicine, Department of Medicine (H.L.), Boston University School of Medicine, MA.
Mayank Sardana *Cardiology Division, Department of Medicine, University of California San Francisco (M.S.).
Yuankai ZhangDepartment of Biostatistics, Boston University School of Public Health, MA (Y.Z., C.L., L.T., C.H.P.).
Chunyu LiuDepartment of Biostatistics, Boston University School of Public Health, MA (Y.Z., C.L., L.T., C.H.P.).
Ludovic TrinquartDepartment of Biostatistics, Boston University School of Public Health, MA (Y.Z., C.L., L.T., C.H.P.).
Emelia J BenjaminBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, MA (H.L., E.J.B., E.S.M., K.F., J.K., M.M.H., J.M.M.).
Emily S MandersBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, MA (H.L., E.J.B., E.S.M., K.F., J.K., M.M.H., J.M.M.).
Kelsey FuscoBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, MA (H.L., E.J.B., E.S.M., K.F., J.K., M.M.H., J.M.M.).
Jelena KornejBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, MA (H.L., E.J.B., E.S.M., K.F., J.K., M.M.H., J.M.M.).
Michael M HammondBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, MA (H.L., E.J.B., E.S.M., K.F., J.K., M.M.H., J.M.M.).
Nicole L SpartanoSection of Endocrinology, Diabetes, Nutrition, and Weight Management (N.L.S.), Boston University School of Medicine, MA.
Chathurangi H PathiravasanDepartment of Biostatistics, Boston University School of Public Health, MA (Y.Z., C.L., L.T., C.H.P.).
Vik KheterpalCare Evolution, Ann Arbor, MI (V.K., C.N.).
Chris NowakCare Evolution, Ann Arbor, MI (V.K., C.N.).
Belinda BorrelliHenry M. Goldman School of Dental Medicine, Center for Behavioral Science Research, Department of Health Policy & Health Services Research, Boston University, MA (B.B.).
Joanne M MurabitoSection of General Internal Medicine, Department of Medicine (J.M.M.), Boston University School of Medicine, MA.
David D McManusCardiology Division, Department of Medicine (D.D.M.), University of Massachusetts Medical School, Worcester.
Boston University · USFramingham Heart Study · USCareEvolution (United States) · USDiabetes Australia · AUInstitute for Biomedicine · ITUniversity of California, San Francisco · USUniversity of Massachusetts Chan Medical School · US

Funding

IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
Detecting bleeding events using EHRs for prediction in AfibR01HL137794 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., YU, HONG · 2018 to 2021
$3.3M
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)R01HL126911 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., SACZYNSKI, JANE STEELE · 2016 to 2019
$3.2M
Smartwatch Monitoring for Atrial Fibrillation After StrokeR01HL137734 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CHON, KI H, MCMANUS, DAVID D. · 2018 to 2021
$3.1M
FHS-NEXT - Framingham Novel EXam using TechnologyR01HL141434 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., MCMANUS, DAVID D. · 2019 to 2022
$2.5M
NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS R01 HL141434NHLBI NIH HHS U54 HL120163
6 · The paper itself

Abstract

rationaleA sedentary lifestyle is associated with increased risk for cardiovascular disease (CVD). Smartwatches enable accurate daily activity monitoring for physical activity measurement and intervention. Few studies, however, have examined physical activity measures from smartwatches in relation to traditional risk factors associated with future risk for CVD.

objectiveTo investigate the association of habitual physical activity measured by smartwatch with predicted CVD risk in adults. METHODS AND

resultsWe enrolled consenting FHS (Framingham Heart Study) participants in an ongoing eFHS (electronic Framingham Heart Study) at the time of their FHS research center examination. We provided participants with a smartwatch (Apple Watch Series 0) and instructed them to wear it daily, which measured their habitual physical activity as the average daily step count. We estimated the 10-year predicted risk of CVD using the American College of Cardiology/American Heart Association 2013 pooled cohort risk equation. We estimated the association between physical activity and predicted risk of CVD using linear mixed effects models adjusting for age, sex, wear time, and familial structure. Our study included 903 eFHS participants (mean age 53±9 years, 61% women, 9% non-White) who wore the smartwatch ≥5 hours per day for ≥30 days. Median daily step count was similar among men (7202 with interquartile range 3619) and women (7260 with interquartile range 3068;

conclusionsIn this community-based sample of adults, higher daily physical activity measured by a study smartwatch was associated with lower predicted risk of CVD. Future research should examine the longitudinal association of prospectively measured daily activity and incident CVD.

Indexed as

ExerciseAgedAge FactorsCardiovascular DiseasesComputers, HandheldFemaleHumansMaleMiddle AgedMonitoring, PhysiologicSedentary BehaviorSex Factorsadultbody mass indexexerciseprimary preventionrisk factor

Identifiers

PMID32842915
PMCPMC7581630
OpenAlexW3080090480

What OpenQuestion holds

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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.