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The Effects of a Mobile Wellness Intervention with Fitbit Use and Goal Setting for Workers

Title
The Effects of a Mobile Wellness Intervention with Fitbit Use and Goal Setting for Workers
Authors
Lee, Sang-HoHa, YeongmiJung, MiraYang, SeungkyoungKang, Won-Seok
DGIST Authors
Kang, Won-Seok
Issue Date
ACCEPT
Citation
Telemedicine Journal and e-Health
Type
Article
ISSN
1530-5627
Abstract
Background and Introduction:There is strong evidence that worksite wellness programs can significantly improve the health profile of participating workers. To date, little is known about research on the effects of mobile wellness interventions in worksite settings. Furthermore, no studies have been conducted to evaluate mobile wellness interventions with activity trackers and tailoring strategies for physically inactive workers in manufacturing companies. This study aimed to examine the effects of a mobile wellness intervention with Fitbit and goal setting using brief counseling and text messaging among workers. Materials and Methods:A total of 79 (n = 79) workers from large manufacturing companies were allocated into an experimental group (n = 41) and a control group (n = 38). All participants were asked to wear an activity tracker (Fitbit Charger HR) during all waking hours for 5 weekdays. Participants in the experimental group received Fitbit, daily motivational text messaging, and biweekly counseling with a specifically designed workbook for 12 weeks, whereas Fitbit was only provided to the control group. Results:At the 12-week measurement, there were significant differences between the experimental group and control group on wellness (p < 0.001), physical activity behavior (p < 0.001), daily walking steps (p < 0.001), and physical activity self-efficacy (p < 0.001). Discussion and Conclusions:Although Fitbit facilitates an individual's activities by providing information about daily steps, the tracker itself, without additional goal-setting techniques, may be insufficient to encourage behavior change. These findings indicate that the mobile wellness intervention with Fitbit and goal setting using brief counseling and tailored text messaging is more effective for physically inactive workers.
URI
http://hdl.handle.net/20.500.11750/9561
DOI
10.1089/tmj.2018.0185
Publisher
Mary Ann Liebert Inc.
Related Researcher
  • Author Kang, Won-Seok  
  • Research Interests Data Mining & Machine Learning for Text & Multimedia, Brain-Sense-ICTConvergence Computing, Computational Olfaction Measurement, Simulation&Modeling
Files:
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Collection:
Convergence Research Center for Wellness1. Journal Articles


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