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The Effectiveness of a mHealth Program Using Wearable Devices and Health Coaching among Bus Drivers for Promoting Physical Activity

  • Ha, Yeongmi (College of Nursing.Institute of Health Sciences, Gyeongsang National University) ;
  • Lee, Sang-Ho (Convergence Research Advanced Centre for Olfaction, DGIST) ;
  • Lee, Suyeon (Public Health Center Jinju) ;
  • Chae, Yeojoo (Department of Nursing, Gwangju University)
  • Received : 2022.06.08
  • Accepted : 2022.08.27
  • Published : 2022.09.30

Abstract

Purpose: Bus drivers are at high risk of chronic diseases due to risk factors associated with poor diet, physical inactivity, high levels of sedentary behaviors, and unfavorable working environments. This study developed a mHealth program for bus drivers, and examined the effectiveness of a mHealth program for promoting physical activity among bus drivers using wearable devices and health coaching. Methods: Forty-seven workers from two bus companies were allocated to the experimental group and the control group. Participants were asked to wear a wearable device (Fitbit Charge HR) during waking hours for a day. Participants in the experimental group were provided with a Fitbit, weekly face-to-face health coaching, a mHealth workbook, and text and photo messaging for 12 weeks. The control group only received a Fitbit. Results: By week 12, there were significant differences between the experimental and control groups in exercise self-efficacy (p<.015) and daily walking steps (p<.001). Conclusion: The findings have demonstrated that the mHealth program using wearable devices and health coaching is effective for bus drivers for promoting physical activity. Based on our findings, it is recommended to encourage the mHealth program using wearable devices and health coaching for bus drivers' wellness.

Keywords

References

  1. Varela-Mato V, Yates T, Stensel DJ, Biddle SJ, Clemes SA. Time spent sitting during and outside working hours in bus drivers: A pilot study. Preventive Medicine Reports. 2016;3:36-39. https://doi.org/10.1016/j.pmedr.2015.11.011
  2. Brodie A, Pavey T, Newton C, Sendall MC. Australian bus drivers' modifiable and contextual risk factors for chronic disease: A workplace study. Plos One. 2021;16(7):e0255225. https://doi.org/10.1371/journal.pone.0255225
  3. Yook JH, Lee DW, Kim MS, Hong YC. Cardiovascular disease risk differences between bus company employees and general workers according to the Korean national health insurance data. Annals of Occupational and Environmental Medicine. 2018;30(1):32. https://doi.org/10.1186/s40557-018-0242-z
  4. Kwon Y, Yeo J, Byun J. Analysis of bus drivers' working environment and accidents by route-bus categories: Using digital tachograph data. The Journal of The Korea Institute of Intelligent Transport Systems. 2019;18(2):1-11. https://doi.org/10.12815/kits.2019.18.2.1
  5. Crizzle AM, Bigelow P, Adams D, Gooderham S, Myers AM, Thiffault P. Health and wellness of long-haul truck and bus drivers: A systematic literature review and directions for future research. Journal of Transport & Health. 2017;7:90-109. https://doi.org/10.1016/j.jth.2017.05.359
  6. World Health Organization. Fact sheets: Physical activity [Internet]. Geneva: World Health Organization. c2021 [cited 2021 January 15]. Available from: http://www.who.int/mediacentre/factsheets/fs385/en/
  7. Korea Disease Control and Prevention Agency. National health and nutrition survey, 8th year (2019) [Internet]. Sejong: Korea Disease Control and Prevention Agency. c2021 [cited 2021 September 15]. Available from: http://knhanes.kdca.go.kr/knhanes/sub04/sub04_04_03.do
  8. Lee AM, Chavez S, Bian J, Thompson LA, Gurka MJ, Williamson VG, et al. Efficacy and effectiveness of mobile health technologies for facilitating physical activity in adolescents: Scoping review. JMIR Mhealth & Uhealth. 2019;7(2):e11847. https://doi.org/10.2196/11847
  9. Hartman SJ, Nelson SH, Weiner LS. Patterns of fitbit use and activity levels throughout a physical activity intervention: Exploratory analysis from a randomized controlled trial. JMIR Mhealth & Uhealth. 2018;6(2):e29. https://doi.org/10.2196/mhealth.8503
  10. Riffenburg KM, Spartano NL. Physical activity and weight maintenance: the utility of wearable devices and mobile health technology in research and clinical settings. Current Opinion in Endocrinology & Diabetes and Obesity. 2018;25(5):310-314. https://doi.org/10.1097/MED.0000000000000433
  11. Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: A systematic review of reviews. Annual Review of Public Health. 2015;36:393-415. https://doi.org/10.1146/annurev-publhealth-031914-122855
  12. Willey S, Walsh JK. Outcomes of a mobile health coaching platform: 12-week results of a single-arm longitudinal study. JMIR Mhealth and Uhealth. 2016;4(1):e3. https://doi.org/10.2196/mhealth.4933
  13. Hill MA, Sendall MC, Mccosker L. Truckies and health promotion: A "hard-to-reach" group without a "proper" workplace. Journal of Health, Safety and Environment. 2015;31(2):1-10.
  14. Gilson ND, Pavey TG, Vandelanotte C, Duncan MJ, Gomersall SR, Trost SG et al. Chronic disease risks and use of a smartphone application during a physical activity and dietary intervention in Australian truck drivers. Australian and New Zealand Journal of Public Health. 2016;40(1):91-93. https://doi.org/10.1111/1753-6405.12501
  15. Deka P, Pozehl B, Norman JF, Khazanchi D. Feasibility of using the Fitbit® Charge HR in validating self-reported exercise diaries in a community setting in patients with heart failure. European Journal of Cardiovascular Nursing. 2018;17(7):605-611. https://doi.org/10.1177/1474515118766037
  16. Bai Y, Hibbing P, Mantis C, Welk GJ. Comparative evaluation of heart rate-based monitors: Apple Watch vs Fitbit Charge HR. Journal of Sports Sciences. 2018;36(15):1734-1741. https://doi.org/10.1080/02640414,2017.1412235
  17. Lee JE, Lee DH, Oh TJ, Kim KM, Choi SH, Lim S, et al. Clinical feasibility of continuously monitored data for heart rate, physical activity, and sleeping by wearable activity trackers in patients with thyrotoxicosis: Protocol for a prospective longitudinal observational study. JMIR Research Protocols. 2018;7(2):e49. https://doi.org/10.2196/resprot.8119
  18. Kang KS, Gu MO. A study on the stages of change of exercise and its related factors in patients with diabetes mellitus - application of transtheoretical model. Korean Journal of Adult Nursing. 2006;18(3):345-356.
  19. Levesque CS, Williams GC, Elliot D, Pickering MA, Bodenhamer B, Finley PJ. Validating the theoretical structure of the Treatment Self-Regulation Questionnaire (TSRQ) across three different health behaviors. Health Education Research. 2007;22(5):691-702. https://doi.org/10.1093/her/cyl148
  20. Krueger G. Health and wellness programs for commercial drivers. Washington, DC: Transportation Research Board;2007. 80 p.
  21. Ng MK, Yousuf B, Bigelow PL, Eerd DV. Effectiveness of health promotion programmes for truck drivers: A systematic review. Health Education Journal. 2015;74(3):270-286. https://doi.org/10.1177/0017896914533953
  22. Choi YH, Chae MJ. Development and effects of smartphone app-based walking exercise program for taxi drivers: Based on Bandura's self efficacy theory. Journal of Korean Academy of Nursing. 2020;50(2):242-254. https://doi.org/10.4040/jkan.2020.50.2.242
  23. Wang JB, Cadmus-Bertram LA, Natarajan L, White MM, Madanat H, Nichols JF, et al. Wearable sensor/device (Fitbit One) and SMS text-messaging prompts to increase physical activity in overweight and obese adults: A randomized controlled trial. Telemedicine journal and e-Health. 2015;21(10):782-792. https://doi.org/10.1089/tmj.2014.0176
  24. Jeong ML, Ha YM. Effectiveness of a workplace walking program using a fitness tracker including individual counseling and tailored text messaging. Journal of Korean Academy of Community Health Nursing. 2019;30(3):257-270. https://doi.org/10.12799/jkachn.2019.30.3.257
  25. Resnick B, Luisi D, Vogel A, Junaleepa P. Reliability and validity of the self-efficacy for exercise and outcome expectations for exercise scales with minority older adults. Journal of Nursing Measurement. 2004;12(3):235-247. https://doi.org/10.1891/jnum.12.3.235
  26. Bandura A. Self-efficacy: The exercise of control. New York, NY: Worth Publishers; 1997. 604 p.
  27. Ettehad D, Emdin CA, Kiran A, Anderson SG, Callender T, Emberson J, et al. Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis. The Lancet. 2016;387(10022):957-967. https://doi.org/10.1016/S0140-6736(15)01225-8
  28. Vansteenkiste M, Soenens B, Vandereycken W. Motivation to change in eating disorder patients: A conceptual clarification on the basis of self-determination theory. The International Journal of Eating Disorders. 2005;37(3):207-219. https://doi.org/10.1002/eat.20099