Evidence map›Paper›PMID 34185019›Full record

ArticleJournal of medical Internet research2021

Association of Habitual Physical Activity With Home Blood Pressure in the Electronic Framingham Heart Study (eFHS): Cross-sectional Study.

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

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
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.

Mayank Sardana *Department of Medicine, Division of Cardiology, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0001-9465-1047
Honghuang Lin *Department of Medicine, Boston University School of Medicine, Boston, MA, United States.ORCID 0000-0003-3043-3942
Yuankai ZhangBoston University School of Public Health, Boston, MA, United States.ORCID 0000-0002-2318-7539
Chunyu LiuBoston University School of Public Health, Boston, MA, United States.ORCID 0000-0002-9160-0153
Ludovic TrinquartBoston University School of Public Health, Boston, MA, United States.ORCID 0000-0002-3028-4900
Emelia J BenjaminDepartment of Medicine, Boston University School of Medicine, Boston, MA, United States.ORCID 0000-0003-4076-2336
Emily S MandersFramingham Heart Study, Framingham, MA, United States.ORCID 0000-0001-9508-1541
Kelsey FuscoFramingham Heart Study, Framingham, MA, United States.ORCID 0000-0002-8805-2520
Jelena KornejFramingham Heart Study, Framingham, MA, United States.ORCID 0000-0003-3551-1145
Michael M HammondFramingham Heart Study, Framingham, MA, United States.ORCID 0000-0002-0157-4458
Nicole SpartanoDepartment of Medicine, Boston University School of Medicine, Boston, MA, United States.ORCID 0000-0002-0724-8629
Chathurangi H PathiravasanBoston University School of Public Health, Boston, MA, United States.ORCID 0000-0003-2170-1247
Vik KheterpalCare Evolution, Ann Arbor, MI, United States.ORCID 0000-0002-4752-4229
Christopher NowakCare Evolution, Ann Arbor, MI, United States.ORCID 0000-0003-1796-9558
Belinda BorrelliHenry M Goldman School of Dental Medicine, Center for Behavioral Science Research, Boston University, Boston, MA, United States.ORCID 0000-0002-0859-796X
Joanne M MurabitoDepartment of Medicine, Boston University School of Medicine, Boston, MA, United States.ORCID 0000-0002-0192-7516
David D McManusDepartment of Medicine, UMass Medical School, Worcester, MA, United States.ORCID 0000-0002-9343-6203

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
Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approachesU01AG068221 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DESTEFANO, ANITA L, LIN, HONGHUANG · 2021 to 2024
$2.5M
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 HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS R01 HL141434NHLBI NIH HHS U54 HL120163NIA NIH HHS U01 AG068221
6 · The paper itself

Abstract

backgroundWhen studied in community-based samples, the association of physical activity with blood pressure (BP) remains controversial and is perhaps dependent on the intensity of physical activity. Prior studies have not explored the association of smartwatch-measured physical activity with home BP.

objectiveWe aimed to study the association of habitual physical activity with home BP.

methodsConsenting electronic Framingham Heart Study (eFHS) participants were provided with a study smartwatch (Apple Watch Series 0) and Bluetooth-enabled home BP cuff. Participants were instructed to wear the watch daily and transmit BP values weekly. We measured habitual physical activity as the average daily step count determined by the smartwatch. We estimated the cross-sectional association between physical activity and average home BP using linear mixed effects models adjusting for age, sex, wear time, antihypertensive drug use, and familial structure.

resultsWe studied 660 eFHS participants (mean age 53 years, SD 9 years; 387 [58.6%] women; 602 [91.2%] White) who wore the smartwatch 5 or more hours per day for 30 or more days and transmitted three or more BP readings. The mean daily step count was 7595 (SD 2718). The mean home systolic and diastolic BP (mmHg) were 122 (SD 12) and 76 (SD 8). Every 1000 increase in the step count was associated with a 0.49 mmHg lower home systolic BP (P=.004) and 0.36 mmHg lower home diastolic BP (P=.003). The association, however, was attenuated and became statistically nonsignificant with further adjustment for BMI.

conclusionsIn this community-based sample of adults, higher daily habitual physical activity measured by a smartwatch was associated with a moderate, but statistically significant, reduction in home BP. Differences in BMI among study participants accounted for the majority of the observed association.

Indexed as

ExerciseHypertensionAdultBlood PressureCross-Sectional StudiesElectronicsFemaleHumansLongitudinal StudiesMiddle AgedApple WatcheCohorthome blood pressurehypertensionphysical activityprimary preventionsmartwatch

Identifiers

PMID34185019
PMCPMC8277303

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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.