융합정보논문지 (Journal of Convergence for Information Technology)

중소기업융합학회 (Convergence Society for SMB)
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스마트폰 걷기 어플리케이션 효과성 검증: 무선통제연구

Effects of Smartphone Applications on Physical Activity in College Students: A Randomized Controlled Trial

  • 투고 : 2019.12.31
  • 심사 : 2020.02.20
  • 발행 : 2020.02.28
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초록

본 연구는 대학생 집단을 대상으로 스마트폰 기반으로 상용화된 걷기 어플리케이션(이하 앱)의 효과성을 무선통제연구방법을 통해 검증하는 것을 목적으로 한다. 본 연구에서는 3개의 상용화된 앱(금전적 보상 앱, 목표설정과 피드백 앱, 게임형 앱)을 선정하고, 자기관찰집단을 통제집단으로 구성하였다. 총 66명의 대학생 참가자가 4개 집단에 무선할당되었고, 실험참가를 완료한 45명의 자료가 분석에 포함되었다. 종속변인은 기저선 및 8주 차에 수집된 걸음수, 실험 전후에 자기보고를 통해 측정한 학업빈도, 계획 완수 빈도, 걷기 활동량 점수, 앱 사용 첫째 주와 마지막 주(8주차)에 자기보고를 통해 수집된 앱 사용량 및 앱 만족도 점수였다. 반복측정변량분석 결과, 걸음수 및 계획 완수 빈도, 걷기 활동량 점수에서 시간에 따른 변화와 집단 간 상호작용이 유의하였고, 앱 사용량 점수에서는 주효과만 유의하였다. 목표설정-피드백 앱 집단과 게임형 앱 집단은 걸음 수와 계획 완수 빈도에서 일관된 증진을 보였다. 본 연구는 상용화된 걷기 앱에 대한 첫 효과성 검증연구로서, 행동주의이론이 모바일 헬스(mHealth) 영역에 체계적으로 활용될 수 있음을 시사한다.

This study tested the effectiveness of commercialized smartphone apps in improving walking activities among college students. 66 participants were randomized into each of four groups that was used different behavior change strategies: monetary rewards app, goal setting and feedback app, gaming app, and self-monitoring control group. 45 participants who completed the experimentation was included in data analysis. Repeated measures ANOVA resulted in statistically significant time by groups interactions in recorded step counts, self-reported completed plans and self-reported walking activities scores. The Goal-setting and feedback group and the gaming group resulted in increase in both step counts and completed plans. The results were discussed in the framework of behaviorism.

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참고문헌

  1. WHO Global Observatory for eHealth. (2011). mHealth: new horizons for health through mobile technologies: second global survey on eHealth. World Health Organization. https://apps.who.int/iris/handle/10665/44607
  2. J. B. Lee & H. Woo. (2019). Quality evaluation of smartphone applications for physical activity promotion. Korean Journal of Health Education and Promotion, 36(4), 67-76. DOI : 10.14367/kjhep.2019.36.4.67
  3. J. H. Cho, M. Choi, M. Lee & H. Lee. (2017). A Review of Researches on Mobile application Contents to Promote Walking Promotion. The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science, 19(4), 27-40. DOI : 10.21797/ksme.2017.19.4.003
  4. A. C. King, E. B. Hekler, L. A. Grieco, S. J. Winter, J. L. Sheats, M. P. Buman, B. Banerjee, T. N. Robinson & J. Cirimele. (2016). Effects of three motivationally targeted mobile device applications on initial physical activity and sedentary behavior change in midlife and older adults: a randomized trial. PloS one, 11(6), e0156370. DOI : 10.1371/journal.pone.0156370
  5. Korea Centers for Disease Control & Prevention. (2016). Health behavior and chronic disease statistics. Cheongju : Department of Korea National Health & Nutrition Examination.
  6. WHO. (2010). Global recommendations on physical activity for health. Geneva : WHO.
  7. Statistics Korea. (2018). 2018 adolescents statistics. Seoul: Statistics Korea.
  8. S. T. Park. (2019). Differences between Body Composition, Physical Self-Efficacy and Stress according to the Physical Activity of Female College Students. Korean Journal of Teacher Education, 35(4), 381-392. DOI : 10.14333/KJTE.2019.35.4.381
  9. T. Miller, L. Chandler & M. Mouttapa. (2015). A Needs Assessment, Development, and Formative Evaluation of a Health Promotion Smartphone Application for College Students. American Journal of Health Education, 46(4), 207-215. DOI : :10.1080/19325037.2015.1044138
  10. J. C. Walsh, T. Corbett, M. Hogan, J. Duggan & A. McNamara. (2016). An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study. JMIR mHealth and uHealth, 4(3), e109. DOI : 10.2196/mhealth.5227
  11. A. Middelweerd, D. M. van der Laan, M. M. van Stralen, J. S. Mollee, M. Stuij, S. J. te Velde & J. Brug. (2015). What features do Dutch university students prefer in a smartphone application for promotion of physical activity? A qualitative approach. International Journal of Behavioral Nutrition and Physical Activity, 12(31). DOI : 10.1186/s12966-015-0189-1
  12. J. Bort-Roig, N. D. Gilson, A. Puig-Ribera, R. S. Contreras & S. G. Trost. (2014). Measuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review. Sports Medicine, 44(5), 671-686. DOI : 10.1007/s40279-014-0142-5
  13. A. Romeo, S. Edney, R. Plotnikoff, R. Curtis, J. Ryan, I. Sanders, C. Crozier & C. Maher. (2019). Can Smartphone Apps Increase Physical Activity? Systematic Review and Meta-Analysis. Journal of Medical Internet Research 21(3). DOI : 10.2196/12053
  14. J. Choi, J. H. Lee, E. Vittinghoff, & Y. Fukuoka. (2016). mHealth physical activity intervention: a randomized pilot study in physically inactive pregnant women. Maternal and child health journal, 20(5). DOI : 10.1007/s10995-015-1895-7
  15. M. Lee & J. Yoon. (2018). Effects of Smartphone-based Physical Activity Interventions Comparing Meta Analysis and Network-Meta Analysis. The Korean Journal of Measurement and Evaluation in Physical Education and Sport Science, 20(4), 129-146. DOI : 10.21797/ksme.2018.20.4.010
  16. T. Deliens, B. Deforche, I. De Bourdeaudhuij & P. Clarys. (2015). Determinants of physical activity and sedentary behaviour in university students: a qualitative study using focus group discussions. BMC Public Health, 15(1), 201. DOI : 10.1186/s12889-015-1553-4
  17. M.]Gowin, M. Cheney, S. Gwin & T. F. Wann. (2015). Health and Fitness App Use in College Students: A Qualitative Study. American Journal of Health Education, 46(4), 223-230. DOI : 10.1080/19325037.2015.1044140
  18. R. Kampmeijer, M. Pavlova, M. Tambor, S. Golinowska & W. Groot. (2016). The use of e-health and m-health tools in health promotion and primary prevention among older adults: a systematic literature review. BMC Health Services Research, 16(S5), 290. DOI : 10.1186/s12913-016-1522-3
  19. A. F. Yan, P. Stevens, Y. Wang, L. Weinhardt, C. L. Holt, C. O'Connor, T. Feller, H. Xie & S. Luelloff. (2015). mHealth text messaging for physical activity promotion in college students: a formative participatory approach. American journal of health behavior, 39(3), 395-408. DOI : 10.5993/ajhb.39.3.12
  20. J. Y. Park, N. H. Kim & S. M. Kwon. (2013). Analysis of Studies on Physical Activity Program for Adults and Elderly in Korea. The Journal of Digital Policy and Management, 11(11), 651-659. DOI : 10.14400/jdpm.2013.11.11.651
  21. H. K. Kim, & Y. S. Kim. (2012). The Effects of Smartphone Application to Increase Physical Activity Among University Students. The Korean Journal of Physical Education, 51(5), 457-466.
  22. J. Poirier, W. L. Bennett, G. J. Jerome, N. G. Shah, M. Lazo, H.-C., Yeh, J. M. Clark & N. K. Cobb. (2016). Effectiveness of an Activity Tracker- and Internet-Based Adaptive Walking Program for Adults: A Randomized Controlled Trial. Journal of Medical Internet Research, 18(2), e34. DOI : 10.2196/jmir.5295
  23. J. Seo & K. M. Chung. (2014). Improving Health-related Behaviors and General Self-control Behaviors through a College-level Self-management Course. Korean Journal of Health Psychology, 19(4), 929-955. DOI : 10.17315/kjhp.2014.19.4.004
  24. IPAQ Research Committee. (2005). Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ)-short and long forms. http://www.ipaq.ki.se/scoring.pdf
  25. J. Cameron, K. M. Banko & W. D. Pierce. (2001). Pervasive negative effects of rewards on intrinsic motivation: The myth continues. The Behavior Analyst, 24(1), 1-44. DOI : 10.1007/bf03392017
  26. H. Nguyen. (2009). Pilot study of a cell phone-based exercise persistence intervention post-rehabilitation for COPD. International Journal of Chronic Obstructive Pulmonary Disease, 4, 301. DOI : 10.2147/copd.s6643
  27. T. Harries, P. Eslambolchilar, R. Rettie, C. Stride, S. Walton & H. C. van Woerden. (2016) Effectiveness of a smartphone app in increasing physical activity amongst male adults: a randomised controlled trial. BMC Public Health, 16(1), 925. DOI : 10.1186/s12889-016-3593-9
  28. P. A. Arean, K. A. Hallgren, J. T. Jordan, A. Gazzaley, D. C. Atkins, P. J. Heagerty & J. A. Anguera. (2016) The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial. Journal of Medical Internet Research, 18(12), e330. DOI : 10.2196/jmir.6482
  29. A. Baumel, F. Muench, S. Edan & J. M. Kane. (2019). Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis. Journal of Medical Internet Research, 21(9), e14567. DOI : 10.2196/preprints.14567
  30. J. J. McDowell. (1982). The importance of Herrnstein's mathematical statement of the law of effect for behavior therapy. American Psychologist, 37(7), 771-779. DOI : 10.1037//0003-066x.37.7.771
  31. S. I. Lee. (2019). Seo-IEffectiveness of Reinforcement Schedule Intervention to Promote Walking Behavior of College Students : Focused on Ratio Reinforcement Schedule and Escalating Reinforcement Schedule. Yonsei University Thesis.