Evidence map›Paper›PMID 38870519›Full record

ArticleJournal of medical Internet research2024

Association of Smartwatch-Based Heart Rate and Physical Activity With Cardiorespiratory Fitness Measures in the Community: Cohort Study.

Yuankai Zhang, Xuzhi Wang, Chathurangi H Pathiravasan, Nicole L Spartano, Honghuang Lin, Belinda Borrelli, Emelia J Benjamin, David D McManus, Martin G Larson, Ramachandran S Vasan and 5 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
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

15 authors.

Yuankai ZhangDepartment of Biostatistics, School of Public Health, Boston University, Boston, MA, United States.ORCID 0000-0002-2318-7539
Xuzhi WangDepartment of Biostatistics, School of Public Health, Boston University, Boston, MA, United States.ORCID 0000-0003-4326-691X
Chathurangi H PathiravasanDepartment of Biostatistics, School of Public Health, Boston University, Boston, MA, United States.ORCID 0000-0003-2170-1247
Nicole L SpartanoSection of Endocrinology, Diabetes, Nutrition, and Weight Management, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID 0000-0002-0724-8629
Honghuang LinDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID 0000-0003-3043-3942
Belinda BorrelliCenter for Behavioral Science Research, Department of Health Policy & Health Services Research, Boston University, Henry M. Goldman School of Dental Medicine, Boston, MA, United States.ORCID 0000-0002-0859-796X
Emelia J BenjaminBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.ORCID 0000-0003-4076-2336
David D McManusCardiology Division, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID 0000-0002-9343-6203
Martin G LarsonDepartment of Biostatistics, School of Public Health, Boston University, Boston, MA, United States.ORCID 0000-0002-9631-1254
Ramachandran S VasanBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.ORCID 0000-0001-7357-5970
Ravi V ShahCardiology Division, Vanderbilt Translational and Clinical Research Center, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-4471-7156
Gregory D LewisCardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-8108-8240
Chunyu LiuDepartment of Biostatistics, School of Public Health, Boston University, Boston, MA, United States.ORCID 0000-0002-9160-0153
Joanne M Murabito *Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.ORCID 0000-0002-0192-7516
Matthew Nayor *Sections of Cardiology and Preventive Medicine and Epidemiology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID 0000-0002-6993-9396

Funding

FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN · 2019 to 2024
$29.8M
Proteomic Profiling of Precise Exercise Pathophenotypes Across the HFpEF SpectrumR01HL131029 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Gregory Dyer Lewis, Matthew G. Nayor · 2016 to 2026
$7.7M
Metabolic Responses to an Oral Mixed Meal Tolerance Test: Intra-individual changes, correlates, and prognostic significanceR01HL156975 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NAYOR, MATTHEW G. · 2021 to 2025
$3.3M
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
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS R01 HL131029NHLBI NIH HHS R01 HL141434NHLBI NIH HHS R01 HL156975NIA NIH HHS U01 AG068221
6 · The paper itself

Abstract

backgroundResting heart rate (HR) and routine physical activity are associated with cardiorespiratory fitness levels. Commercial smartwatches permit remote HR monitoring and step count recording in real-world settings over long periods of time, but the relationship between smartwatch-measured HR and daily steps to cardiorespiratory fitness remains incompletely characterized in the community.

objectiveThis study aimed to examine the association of nonactive HR and daily steps measured by a smartwatch with a multidimensional fitness assessment via cardiopulmonary exercise testing (CPET) among participants in the electronic Framingham Heart Study.

methodsElectronic Framingham Heart Study participants were enrolled in a research examination (2016-2019) and provided with a study smartwatch that collected longitudinal HR and physical activity data for up to 3 years. At the same examination, the participants underwent CPET on a cycle ergometer. Multivariable linear models were used to test the association of CPET indices with nonactive HR and daily steps from the smartwatch.

resultsWe included 662 participants (mean age 53, SD 9 years; n=391, 59% women, n=599, 91% White; mean nonactive HR 73, SD 6 beats per minute) with a median of 1836 (IQR 889-3559) HR records and a median of 128 (IQR 65-227) watch-wearing days for each individual. In multivariable-adjusted models, lower nonactive HR and higher daily steps were associated with higher peak oxygen uptake (VO

conclusionsOur findings suggest that smartwatch-based assessments are associated with a broad array of cardiorespiratory fitness responses in the community, including measures of global fitness (peak VO

Indexed as

Cardiorespiratory FitnessExerciseHeart RateAdultCohort StudiesExercise TestFemaleHumansMaleMiddle AgedWearable Electronic Devicescardiopulmonary exercise testingcardiorespiratory fitnessheart ratemobile healthphysical activitysmartwatch

Identifiers

PMID38870519
PMCPMC11216017

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.