Cited by 308Mobile Health and mHealth ApplicationsPhysical Activity and HealthContext-Aware Activity Recognition Systems

Wearable Sensor/Device (Fitbit One) and SMS Text-Messaging Prompts to Increase Physical Activity in Overweight and Obese Adults: A Randomized Controlled Trial

Open access
Wang, Julie B., Cadmus-Bertram, Lisa A., Natarajan, Loki, White, Martha M., Madanat, Hala, Nichols, Jeanne F., Ayala, Guadalupe X., Pierce, John P.·2015·Telemedicine and e-Health

Abstract

BACKGROUND: Studies have shown self-monitoring can modify health behaviors, including physical activity (PA). This study tested the utility of a wearable sensor/device (Fitbit(®) One™; Fitbit Inc., San Francisco, CA) and short message service (SMS) text-messaging prompts to increase PA in overweight and obese adults. MATERIALS AND METHODS: Sixty-seven adults wore a Fitbit One tracker for 6 weeks; half were randomized to also receive three daily SMS-based PA prompts. The Fitbit One consisted of a wearable tracker for instant feedback on performance and a Web site/mobile application (app) for detailed summaries. Outcome measures were objectively measured steps and minutes of PA by intensity using two accelerometers: Actigraph™ (Pensacola, FL) GT3X+ (primary measure) at baseline and Week 6 and Fitbit One (secondary measure) at baseline and Weeks 1, 2, 3, 4, 5, and 6. RESULTS: Mixed-model repeated-measures analysis of primary measures indicated a significant within-group increase of +4.3 (standard error [SE]=2.0) min/week of moderate- to vigorous-intensity PA (MVPA) at 6-week follow-up (p=0.04) in the comparison group (Fitbit only), but no study group differences across PA levels. Secondary measures indicated the SMS text-messaging effect lasted for only 1 week: the intervention group increased by +1,266 steps (SE=491; p=0.01), +17.8 min/week MVPA (SE=8.5; p=0.04), and +38.3 min/week total PA (SE=15.9; p=0.02) compared with no changes in the comparison group, and these between-group differences were significant for steps (p=0.01), fairly/very active minutes (p<0.01), and total active minutes (p=0.02). CONCLUSIONS: These data suggest that the Fitbit One achieved a small increase in MVPA at follow-up and that the SMS-based PA prompts were insufficient in increasing PA beyond 1 week. Future studies can test this intervention in those requiring less help and/or test strategies to increase participants' engagement levels.

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Crossref · 10.1089/tmj.2014.0176

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Authors
Wang, J. B., Cadmus-Bertram, L. A., Natarajan, L., White, M. M., Madanat, H., Nichols, J. F., Ayala, G. X., & Pierce, J. P.
Affiliations
  • University of California, San Francisco (US)
  • Moores Cancer Center, University of California, San Diego, La Jolla, California.
  • University of California San Diego (US)
  • San Diego State University (US)
Corresponding author
Wang, Julie B.
Venue
Telemedicine and e-Health
Published
2015-10
Volume
21
Issue
10
Pages
782-792
ISSN
  • 1530-5627 (ISSN-L)
  • 1556-3669
OpenAlex
W2101502430
Cited by
308
References
61
Citations by year
2026: 7 · 2025: 7 · 2024: 17 · 2023: 21 · 2022: 31 · 2021: 53 · 2020: 31 · 2019: 43 · 2018: 38 · 2017: 36 · 2016: 22 · 2015: 2
FWCI
59.73
Type
journal article
Language
en
Open access
Locations
  • Telemedicine Journal and e-Health (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • University of California, San Diego
  • National Cancer Institute (CA113710, K07CA178870, P30CA023100, T32CA113710)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
wearable activity trackers, physical activity promotion, overweight adults, adult obesity, self-monitoring, moderate-to-vigorous physical activity, step count, accelerometer-measured activity, mobile health intervention
MeSH terms
Adolescent, Adult, Aged, Exercise Therapy, Female, Humans, Male, Middle Aged, Monitoring, Physiologic, Obesity, Exercise, Text Messaging, Accelerometry

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