Using a consumer wearable activity monitor device to study physical activity and sleep among adolescents in Project Viva (Preprint)

Author:

Zhang Yutong,Bornkamp Nicole,Hivert Marie-France,Oken Emily,James Peter

Abstract

BACKGROUND

The increasing prevalence of physical inactivity and insufficient sleep in adolescents likely contributes to worsening cardiometabolic and mental health. However, obtaining accurate behavioral measures is a challenge. Consumer wearable devices offer a user-friendly method to assess physical activity and sleep duration.

OBJECTIVE

This study aimed to describe the process and the preliminary results of physical activity and sleep behavior data collected using a consumer wearable Fitbit device in an adolescent cohort.

METHODS

We provided Fitbit Charge 2TM or Charge 3TM wrist-worn activity monitors to adolescent participants in Project Viva, a Boston-MA area cohort, from 2017 to 2022. We invited participants to wear the devices for ≥7 days for 24 hours a day to measure their physical activity, heart rate, and sleep and, allowed them to keep the device as a participation incentive.

RESULTS

We collected over 7 million minutes of physical activity, heart rate, and sleep data from 677 participants, 53% female. The average (standard deviation, SD) age of participants was 17.7 years (0.7). The racial and ethnic composition was 65% non-Hispanic White, 14% non-Hispanic Black, 10% Hispanic, 3.2% non-Hispanic Asian, and 7.8% of other races. Participants demonstrated high adherence to research protocol, with the mean (SD) wear duration of 7.5 days (1.1), and 90% of participants (n=612) had five or more days wearing the device >600 minutes/day. The mean (SD) steps were 8,883 (3,455) steps/day and the mean (SD) awake sedentary time were 564 (138) minutes/day. Over 87% (n=588) of participants had sleep data available for five or more days, among whom average nightly sleep duration was 7.9 hours (SD: 0.9).

CONCLUSIONS

In a cohort of US adolescents, we obtained high rates of compliance with using a consumer wearable device to measure physical activity and sleep.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3