J Korean Acad Community Health Nurs.  2019 Sep;30(3):257-270. 10.12799/jkachn.2019.30.3.257.

Effectiveness of a Workplace Walking Program Using a Fitness Tracker Including Individual Counseling and Tailored Text Messaging

Affiliations
  • 1Assistant Professor, Department of Nursing, Hanyeong College, Yeosu, Korea.
  • 2Associate Professor, College of Nursing · Institute of Health Sciences, Gyeongsang National University, Jinju, Korea. yha@gnu.ac.kr

Abstract

PURPOSE
This study is designed as a non-equivalent, control group pre/post-test for identifying effectiveness of a workplace walking program using a fitness tracker including individual counseling and tailored text messaging.
METHODS
Seventy-nine employees from two large companies were allocated into an intervention group (n=39) and a control group (n=40). Participants were asked to wear a fitness tracker (Fitbit Charger HR) during 24-hour, 5-days per week, for 10 weeks. The intervention group was provided with daily walking steps measured by Fitbit, weekly counseling with a specifically designed workbook, and seven weekly text messaging, and the control group with the fitness tracker only.
RESULTS
At the week 10 measurement, there were significant differences between the intervention and control groups in physical activity self-efficacy (p<.001), physical activity behavior (p<.001), daily walking steps (p<.001), systolic blood pressure (p=.033), and wellness (p<.001).
CONCLUSION
These results suggest that the workplace walking program using a fitness tracker including individual counseling and tailored text messaging is more effective for persons with 10,000 steps/day. Therefore, it is recommended to actively apply this workplace walking program to inactive employees for encouraging regular physical activities and improving their wellness.

Keyword

Fitness trackers; Text messaging; Workplace; Health promotion

MeSH Terms

Blood Pressure
Counseling*
Health Promotion
Humans
Motor Activity
Text Messaging*
Walking*

Figure

  • Figure 1. Conceptual framework for workplace walking program.


Reference

References

1. Ammendolia C, Cote P, Cancelliere C, Cassidy D, Hartvigsen J, Boyle E, et al. Healthy and productive workers: Using intervention mapping to design a workplace health promotion and wellness program to improve presenteeism. BMC Public Health. 2016; 16(1):1190. https://doi.org/10.1186/s12889-016-3843-x.
Article
2. World Health Organization. Fact sheets: physical activity [Internet]. Geneva: World Health Organization;2019. [cited 2018 January 15]. Available from:. http://www.who.int/mediacentre/factsheets/fs385/en/.
3. U.S. Department of Health and Human Services. Physical activity guidelines for Americans. 2nd ed. [Internet]. Washington.: U.S. Department of Health and Human Services;2019. [cited 2018 January 15]. Available from:. http://health.gov/paguidelines/second-edition/pdf/Physical_Activity_Guidelines_2nd_edition.pdf.
4. Ogilvie D, Foster CE, Rothnie H, Cavill N, Hamilton V, Fitzsi-mons CF, et al. Interventions to promote walking: Systematic review. British Medical Journal. 2007; 334(7605):1204. https://doi.org/10.1136/bmj.39198.722720.BE.
Article
5. Hanson S, Jones A. Is there evidence that walking groups have health benefits? A systematic review and meta-analysis. British Journal of Sports Medicine. 2015; 49(11):710–715. https://doi.org/10.1136/bjsports-2014-094157.
Article
6. Korea Centers for Disease Control and Prevention. National health and nutrition survey, 7th year (2016) [Internet]. Cheongju: Korea Centers for Disease Control and Prevention;2017. [cited 2017 September 15]. Available from:. https://knhanes.cdc.go.kr/knhanes/sub04/sub04_03.do?classType=7.
7. Ministry of Health and Welfare. The physical activity guide for Koreans [Internet]. Seoul: Ministry of Health and Welfare;2013. [cited 2018 September 15]. Available from:. http://health.cdc.go.kr/health/ReferenceRoomArea/HealthFileRoom/healthFileDetail.do?ED_NO=1851.
8. 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.
Article
9. 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.
10. Ghanvatkar S, Kankanhalli A, Rajan V. User models for personalized physical activity interventions: Scoping review. JMIR Mhealth & Uhealth. 2019; 7(1):e11098. https://doi.org/10.2196/11098.
Article
11. Wang JB, Cadmus-Bertram LA, Natarajan L, White MM, Ma-danat 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 & E-Health. 2015; 21(10):782–792. https://doi.org/10.1089/tmj.2014.0176.
Article
12. Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: A systematic review of reviews. Annual Reviews of Public Health. 2015; 36:393–415. https://doi.org/10.1146/annurev-publhealth-031914-122855.
Article
13. US Preventive Services Task Force. Behavioral counseling to promote a healthful diet and physical activity for cardiovascular disease prevention in adults without cardiovascular risk factors: US Preventive Services Task Force Recommendation Statement. The Journal of the American Medical Association. 2017; 318(2):167–174. https://doi.org/10.1001/jama.2017.7171.
14. Taber DR, Meischke H, Maciejewski ML. Testing social cognitive mechanism of exercise in college students. American Journal of Health Behavior. 2010; 34(2):156–165.
15. Bandura A. Self-efficacy: The exercise of control. New York, NY: Worth Publishers;1997. p. 604.
16. Korea Health Promotion Institute. Final report on mobile health care [Internet]. Seoul: Korea Health Promotion Institute;2018. [cited 2018 September 15]. Available from:. http://www.khealth.or.kr/kps/publish/view?menuId=MENU00888&page_no=B2017001&pageNum=1&board_idx=10052.
17. Mattila E, Orsama A, Ahtinen A, Hopsu L, Leino T, Korhonen I. Personal health technologies in employee health promotion: Usage activity, usefulness, and health-related outcomes in a 1-year randomized controlled trial. JMIR Mhealth & Uhealth. 2013; 1(2):e16. https://doi.org/10.2196/mhealth.2557.
Article
18. Choi HY, Yang SJ. Effects of walking program based on social cognitive theory for office workers. Korean Journal of Adult Nursing. 2013; 25(6):712–724. https://doi.org/10.7475/kjan.2012.24.6.712.
Article
19. Kim JI, Kwon YH, Jang JS, Cho YT. Evaluation study of health promotion program using smart band: focusing on the management of metabolic syndrome subjects. HCI Korea 2016 conference; 2016 Jan 27-29; High1 resort, Kangwon-do. Seoul: The HCI Society of Korea. 2016. Jan.724.
20. Willey S, Walsh JK. Outcomes of a mobile health coaching platform: 12-week results of a single-arm longitudinal study. Journal of Medical Internet Research Mhealth & Uhealth. 2016; 4(1):e3. https://doi.org/10.2196/mhealth.4933.
Article
21. Hwang WJ. Cardiovascular disease in Korean blue-collar workers: Actual risk, risk perception, and risk reduction behavior [dissertation]. [San Francisco, CA]: University of California at San Francisco;2010. p. 172.
22. 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. The Journal of Korean Academic Society of Adult Nursing. 2006; 18(3):345–356.
23. Choi MJ, Son CS, Kim JS, Ha YM. Development of a wellness index for workers. Journal of Korean Academy of Nursing. 2016; 46(1):69–78. https://doi.org/10.4040/jkan.2016.46.1.69.
Article
24. Morton K, Sutton S, Hardeman W, Troughton J, Yates T, Griffin S, et al. A text-messaging and pedometer program to promote physical activity in people at high risk of type 2 diabetes: The development of the PROPELS follow-on support program. Journal of Medical Internet Research Mhealth & U-health. 2015; 3(4):e105. https://doi.org/10.2196/mhealth.5026.
Article
25. Sisson SB, Camhi SM, Tudor-Locek C, Johnson WD, Katzmar-zyk PT. Characteristics of step-defined physical activity categories in U.S. adults. American Journal of Health Promotion. 2012; 26(3):152–159. https://doi.org/10.4278/ajhp.100326-QUAN-95.
Article
26. 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.
Article
27. Albarrati AM, Alghamdi MSM, Nazer RI, Alkorashy MM, Alshowier N, Gale N. Effectiveness of low to moderate physical exercise training on the level of low-density lipoproteins: A systematic review. BioMed Research International. 2018; 5982980:1–16. https://doi.org/10.1155/2018/5982980.
Article
28. Park DH, Kim CS, Kim KJ. Consideration about physical activity guideline and exercise intensity for adult. Exercise Science. 2015; 24(2):99–107. https://doi.org/10.15857/ksep.2015.24.2.99.
29. Choi ES, Jeon GS. The impacts of psychosocial work conditions on self-rated health among Korean workers. Korean Journal of Occupational Health Nursing. 2016; 25(4):300–310. https://doi.org/10.5807/kjohn.2016.25.4.300.
Article
30. Wu S, Wang R, Zhao Y, Ma X, Wu M, Yan X, et al. The relationship between self-rated health and objective health status: A population-based study. BMC Public Health. 2013; 13:320. https://doi.org/10.1186/1471-2458-13-320.
Article
Full Text Links
  • JKACHN
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr