Association of Habitual Physical Activity With Cardiovascular Disease Risk

Abstract

Rationale: A 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. Objective: To investigate the association of habitual physical activity measured by smartwatch with predicted CVD risk in adults. Methods and Results: We enrolled consenting Framingham Heart Study (FHS) participants in an ongoing electronic Framingham Heart Study (eFHS) 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 ACC/AHA 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{plus minus}9 years, 61% women, 9% non-white) who wore the smartwatch greater than 5 hours per day for more than 30 days. Median daily step count was similar among men (7,202 with interquartile range [IQR] 3,619) and women (7,260 with IQR 3,068, P=0.52). Average 10-year predicted CVD risk was 4.5% (IQR 6.1%) for men and 1.2% (IQR 2.2%) for women (P=1.3x10-26). Every 1,000 steps higher habitual physical activity was associated with 0.18% lower predicted CVD risk (P=3.2x10-4). The association was attenuated but remained significant after further adjustment for body mass index (P=0.01). Conclusions: In 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.

Wearable device signals and home blood pressure data across age, sex, race, ethnicity, and clinical phenotypes in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) study: a prospective, community-based observational study

“…[8][9][10][11][12] Large-scale observational studies have shown that the MyDataHelps app is user friendly and enables high-fidelity data collection. [13][14][15] Participants were asked to wear their watch for 12 h per day or longer and to do daily or weekly tasks, including home blood pressure measurement.…”

Aerobic Exercise During Advance Stage of Uncontrolled Arterial Hypertension

“…Physical exercise attenuates cardiovascular risk factors ( Lin et al, 2020 ). Studies on the effects of exercise on cardiac remodeling have shown an improvement in contractility, prevention of apoptosis, and attenuation of myocardial fibrosis and LV adverse remodeling ( Huang et al, 2012 ; Locatelli et al, 2017 ).…”

Relations Between BMI Trajectories and Habitual Physical Activity Measured by a Smartwatch in the Electronic Cohort of the Framingham Heart Study: Cohort Study

“…Of the remaining 1948 participants who were enrolled in the eFHS, 1185 chose to participate with the Apple Watch and returned step data between November 2016 and January 2019. We excluded 213 participants who either wore the smartwatch less than 5 hours on any given day or those who returned smartwatch data for less than 30 days during the study period because these participants did not meet the definition for habitual PA previously published [ 27 ]. We also excluded 135 participants who did not attend the 3 examinations needed to build the BMI trajectory, participants with BMI values <18.5 or >60 kg/m 2 at any of the 3 research examinations, and participants who had a gastric bypass procedure.…”