Research Paper Volume 13, Issue 15 pp 19710—19721

Active wearable device utilization improved physical performance and IGF-1 among community-dwelling middle-aged and older adults: a 12-month prospective cohort study

Wei-Ju Lee1,2, , Li-Ning Peng1,3, , Ming-Hsien Lin1,3, , Ching-Hui Loh1,4, , Liang-Kung Chen1,3,5, ,

  • 1 Aging and Health Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
  • 2 Department of Family Medicine, Taipei Veterans General Hospital Yuanshan Branch, Yilan County, Taiwan
  • 3 Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
  • 4 Center of Health and Aging, Hualien Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation, Hualien County, Taiwan
  • 5 Superintendent Office, Taipei Municipal Gan-Dau Hospital, Taipei, Taiwan

Received: May 18, 2021       Accepted: July 17, 2021       Published: August 3, 2021
How to Cite

Copyright: © 2021 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Wearable devices provide real-time and patient-powered data that enable the development of personalized health promotion and management programs. This study aimed to explore the clinical benefits of using the wearable device and to examine associated factors, utilization patterns on health status. 319 community-living adults aged 50-85 years were enrolled and clinically followed for 12 months. Participants were categorized into 3 groups based on the wearable device utilization patterns (active: >30 days of use, non-active: <3 days of use, usual: 3-30 days of use). 128 (40.1%) and 98(30.7%) were active and usual wearable device users, and no significant differences in the baseline demographic characteristics and functional status were noted across groups. Higher cognitive performance was significantly associated with the wearable device use (OR: 1.3,95%CI: 1.1-1.5, p=0.005). Multivariable linear regression showed that 0.16 m/s increase in walking speed among active users, which was significantly higher than non-active users (p=0.034). Compared to usual users, active users had higher average daily, weekday, and holiday step counts. The walking speed increased for 0.03 m/s when participants walked 1,000 more daily step counts (p=0.020). Active use of wearable devices substantially increased walking speed, which suggested better functional outcomes and survival benefits in the future.


CESD: Center for Epidemiologic Studies Depression Scale; SMAF: Functional Autonomy Measurement System; MoCA: Montreal Cognitive Assessment; MNA-SF: Short-form mini-nutritional assessment; HbA1c: Glycolated hemoglobin; HDL-C: High density lipoprotein cholesterol; LDL-C: Low density lipoprotein cholesterol; hs-CRP: High sensitivity C reactive protein; ACTH: Adrenocorticotropic hormone; IGF-1: Insulin-like growth factor 1; DHEA-S: dehydroepiandrosterone-sulfate.