TY - JOUR AU - Feng, Kent Y AU - Short, Sarah A AU - Saeb, Sohrab AU - Carroll, Megan K AU - Olivier, Christoph B AU - Simard, Edgar P AU - Swope, Susan AU - Williams, Donna AU - Eckstrand, Julie AU - Pagidipati, Neha AU - Shah, Svati H AU - Hernandez, Adrian F AU - Mahaffey, Kenneth W PY - 2024 DA - 2024/12/20 TI - Resting Heart Rate and Associations With Clinical Measures From the Project Baseline Health Study: Observational Study JO - J Med Internet Res SP - e60493 VL - 26 KW - resting heart rate KW - wearable devices KW - remote monitoring KW - physiology KW - PBHS KW - Project Baseline Health Study KW - Verily Study Watch KW - heart rate KW - observational study KW - cohort study KW - wearables KW - electrocardiogram KW - regression analyses KW - socioeconomic status KW - medical condition KW - vital signs KW - laboratory assessments KW - physical function KW - electronic health KW - eHealth AB - Background: Though 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. Objective: This 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. Methods: The 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. Results: From 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. Conclusions: RHR 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 Registration: ClinicalTrials.gov NCT03154346; https://clinicaltrials.gov/study/NCT03154346 SN - 1438-8871 UR - https://www.jmir.org/2024/1/e60493 UR - https://doi.org/10.2196/60493 DO - 10.2196/60493 ID - info:doi/10.2196/60493 ER -