Evidence map›Paper›PMID 39705694›Full record

Observational studyJournal of medical Internet research2024

Resting Heart Rate and Associations With Clinical Measures From the Project Baseline Health Study: Observational Study.

Kent Y Feng, Sarah A Short, Sohrab Saeb, Megan K Carroll, Christoph B Olivier, Edgar P Simard, Susan Swope, Donna Williams, Julie Eckstrand, Neha Pagidipati and 3 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study 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. It is linked to trial NCT03154346 (Project Baseline Health Study), which is not on this 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.

NCT03154346 active not recruitingnot on this map

Project Baseline Health Study

Typeobservational_patient_registrySponsorBaseline Study LLCRan2017 to 2024Enrolled10,000ConditionsAll
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

13 authors.

Kent Y Feng *Stanford Center for Clinical Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0002-7949-9531
Sarah A Short *Verily Life Sciences, South San Francisco, CA, United States.ORCID 0009-0001-6441-4603
Sohrab Saeb *Verily Life Sciences, South San Francisco, CA, United States.ORCID 0000-0002-4625-452X
Megan K CarrollVerily Life Sciences, South San Francisco, CA, United States.ORCID 0000-0001-5355-1357
Christoph B OlivierCardiovascular Clinical Research Center, Department of Cardiology and Angiology, University Heart Center Freiburg, Bad Krozingen, Faculty of Medicine, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-3065-625X
Edgar P SimardVerily Life Sciences, South San Francisco, CA, United States.ORCID 0000-0001-8093-2067
Susan SwopeStanford Center for Clinical Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0002-6941-9753
Donna WilliamsStanford Center for Clinical Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0009-0003-9282-7864
Julie EckstrandDuke University School of Medicine, Durham, NC, United States.ORCID 0000-0003-2407-9393
Neha PagidipatiDuke University School of Medicine, Durham, NC, United States.ORCID 0000-0002-5004-8868
Svati H ShahDuke University School of Medicine, Durham, NC, United States.ORCID 0000-0002-3495-2830
Adrian F HernandezDuke University School of Medicine, Durham, NC, United States.ORCID 0000-0003-3387-9616
Kenneth W MahaffeyStanford Center for Clinical Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0002-3791-2148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThough widely used, resting heart rate (RHR), as measured by a wearable device, has not been previously evaluated in a large cohort against a variety of important baseline characteristics.

objectiveThis study aimed to assess the validity of the RHR measured by a wearable device compared against the gold standard of ECG (electrocardiography), and assess the relationships between device-measured RHR and a broad range of clinical characteristics.

methodsThe Project Baseline Health Study (PHBS) captured detailed demographic, occupational, social, lifestyle, and clinical data to generate a deeply phenotyped cohort. We selected an analysis cohort within it, which included participants who had RHR determined by both ECG and the Verily Study Watch (VSW). We examined the correlation between these simultaneous RHR measures and assessed the relationship between VSW RHR and a range of baseline characteristics, including demographic, clinical, laboratory, and functional assessments.

resultsFrom the overall PBHS cohort (N=2502), 875 (35%) participants entered the analysis cohort (mean age 50.9, SD 16.5 years; n=519, 59% female and n=356, 41% male). The mean and SD of VSW RHR was 66.6 (SD 11.2) beats per minute (bpm) for female participants and 64.4 (SD 12.3) bpm for male participants. There was excellent reliability between the two measures of RHR (ECG and VSW) with an intraclass correlation coefficient of 0.946. On univariate analyses, female and male participants had similar baseline characteristics that trended with higher VSW RHR: lack of health care insurance (both P<.05), higher BMI (both P<.001), higher C-reactive protein (both P<.001), presence of type 2 diabetes mellitus (both P<.001) and higher World Health Organization Disability Assessment Schedule (WHODAS) 2.0 score (both P<.001) were associated with higher RHR. On regression analyses, within each domain of baseline characteristics (demographics and socioeconomic status, medical conditions, vitals, physical function, laboratory assessments, and patient-reported outcomes), different characteristics were associated with VSW RHR in female and male participants.

conclusionsRHR determined by the VSW had an excellent correlation with that determined by ECG. Participants with higher VSW RHR had similar trends in socioeconomic status, medical conditions, vitals, laboratory assessments, physical function, and patient-reported outcomes irrespective of sex. However, within each domain of baseline characteristics, different characteristics were most associated with VSW RHR in female and male participants.

trial registrationClinicalTrials.gov NCT03154346; https://clinicaltrials.gov/study/NCT03154346.

Indexed as

ElectrocardiographyHeart RateAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedRestWearable Electronic Devicescohort studyeHealthelectrocardiogramelectronic healthheart ratelaboratory assessmentsmedical conditionobservational studyPBHSphysical functionphysiologyProject Baseline Health Studyregression analysesremote monitoringresting heart ratesocioeconomic statusVerily Study Watchvital signswearable deviceswearables

Identifiers

PMID39705694
PMCPMC11699500

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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.