Personalizing mobile-health Apps using social media reinforcement learning to increase physical activity among bachelor nursing students: A feseable study
Abstract
Background: Applying a smartphone health-App might suitable in the context of bachelor nursing students in Indonesia.
Purpose: This study was conducted an smartphone health Apps and social media for bachelor nursing students to promote physical activity.
Method: A quasy experiment with pre and post-test design included 80 bachelor nursing students with physical inactive by sample power to estimated, and recruited convinience samples from the nursing institutions. The eligible participants were randomly assigned to intervention or control group. The smartphone health-app group received electronic booklet of physical activity (PA) and health app combine with social media tool reinforcement during 12-week, and control group received usual care. Physical activity was measured using the questionaire and smartphone-health-app, and self-efficacy were assessed through extensive questionnaire. Data was analyzed within and between smartphone health-app and control groups to assess progarm using pair t-tests.
Results: The primary outcome of promoting PA, there was a significant increase after 12-week of intervention, and significant difference between the groups was observed. The secondary outcomes, there was a significant increase in self-efficacy in both groups, and significant difference between groups.
Conclusion: The intervention was successfully promoted PA of bachelor nursing students over 12-week. The intervention was designed to be simple for widespread implementation in a variety of bachelor nursing students and settings, as it requires no special equipment or previous PA knowledge.
Keywords
References
Al Ayubi, S. U., Parmanto, B., Branch, R., & Ding, D. (2014). A persuasive and social mHealth application for physical activity: a usability and feasibility study. JMIR mHealth and uHealth, 2(2), e25.
Bandura, A. (2005). The primacy of self‐ regulation in health promotion. Applied Psychology, 54(2), 245- 254.
Carr, L. J., Bartee, R. T., Dorozynski, C., Broomfield, J. F., Smith, M. L., & Smith, D. T. (2008). Internet-delivered behavior change program increases physical activity and improves cardiometabolic disease risk factors in sedentary adults: results of a randomized controlled trial. Preventive medicine, 46(5), 431-438. https://doi.org/10.1016/j.ypmed.2007.12.005
Chomistek, A. K., Manson, J. E., Stefanick, M. L., Lu, B., Sands-Lincoln, M., Going, S. B., ... & Johnson, K. C. (2013). Relationship of sedentary behavior and physical activity to incident cardiovascular disease: results from the Women's Health Initiative. J Am Coll Cardiol, 61(23), 2346-2354. http://dx.doi.org/10.1016%2Fj.jacc.2013.03.031
Craig, C. L., Marshall, A. L., Sjostrom, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., Oja, P. (2003). International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc, 35(8), 1381-1395. http://dx.doi.org/10.1249/01.MSS.0000078924.61453.FB
Davies, C. A., Spence, J. C., Vandelanotte, C., Caperchione, C. M., & Mummery, W. K. (2012). Meta-analysis of internet-delivered interventions to increase physical activity levels. Int J Behav Nutr Phys Act, 9(1), 52. https://doi.org/10.1186/1479-5868-9-52
Deliens, T., Deforche, B., De Bourdeaudhuij, I., & Clarys, P. (2015). Determinants of physical activity and sedentary behaviour in university students: a qualitative study using focus group discussions. BMC Public Health, 15(1), 1.
El Assaad, M. A., Topouchian, J. A., Darne, B. M., & Asmar, R. G. (2002). Validation of the Omron HEM-907 device for blood pressure measurement. American Journal of Hypertension, 15(S3), 87A-87A. https://doi.org/10.1097/00126097-200208000-00006
Fanning, J., Mullen, S. P., & McAuley, E. (2012). Increasing physical activity with mobile devices: a meta-analysis. J Med Internet Res, 14(6). https://doi.org/10.2196/jmir.2171
Fjeldsoe, B., Neuhaus, M., Winkler, E., & Eakin, E. (2011). Systematic review of maintenance of behavior change following physical activity and dietary interventions. Health Psychology, 30(1), 99. https://doi.org/10.1037/a0021974
Gibson, R. S. (2005). Principles of nutritional assessment: Oxford university press, USA.
Group, I. P. A. Q. (2005). Guidelines for Data Processing and Analysis of the International Physical Activity Questionnaire (IPAQ). Available on https://sites.google.com/site/theipaq/
Hamari, J., Koivisto, J., & Sarsa, H. (2014, January). Does gamification work?--a literature review of empirical studies on gamification. In 2014 47th Hawaii international conference on system sciences (pp. 3025-3034). http://dx.doi.org/10.1109%2FHICSS.2014.377
Hamari, J., Hassan, L., & Dias, A. (2018). Gamification, quantified-self or social networking? Matching users’ goals with motivational technology. User Modeling and User-Adapted Interaction, 28(1), 35-74. http://dx.doi.org/10.1007/s11257-018-9200-2
Hswen, Y., Murti, V., Vormawor, A. A., Bhattacharjee, R., &Naslund, J. A. (2013). Virtual avatars, gaming, and social media: Designing a mobile health app to help children choose healthier food options. J Mob Technol Med, 2(2), 8. https://doi.org/10.7309/jmtm.2.2.3
Jee, H. (2017). Review of researches on smartphone applications for physical activity promotion in healthy adults. J Exerc Rehabil, 13(1), 3-11. https://doi.org/10.12965/jer.1732928.464
Kementrian Komunikasi dan Informatika Republik Indonesia. (2019). Indonesia raksasa teknologi digital Asia. Available from: https://kominfo.go.id/content/detail/6095/indonesia-raksasa-teknologi-digital-asia/0/sorotan_media
King, A. C., Hekler, E. B., Grieco, L. A., Winter, S. J., Sheats, J. L., Buman, M. P., ... & Cirimele, J. (2013). Harnessing different motivational frames via mobile phones to promote daily physical activity and reduce sedentary behavior in aging adults. PloS one, 8(4), e62613. https://doi.org/10.1371/journal.pone.0062613
Kirwan, M., Duncan, M. J., Vandelanotte, C., & Mummery, W. K. (2012). Using smartphone technology to monitor physical activity in the 10,000 Steps program: a matched case–control trial. Journal of medical Internet research, 14(2), e55. https://doi.org/10.2196/jmir.1950
Kyu, H. H., Bachman, V. F., Alexander, L. T., Mumford, J. E., Afshin, A., Estep, K., ... & Cercy, K. (2016). Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: systematic review and dose-response meta-analysis for the Global Burden of Disease Study 2013. BMJ, 354, i3857. https://doi.org/10.1136/bmj.i3857
LaCaille, L. J., Dauner, K. N., Krambeer, R. J., & Pedersen, J. (2011). Psychosocial and environmental determinants of eating behaviors, physical activity, and weight change among college students: a qualitative analysis. Journal of American College Health, 59(6), 531-538. https://doi.org/10.1080/07448481.2010.523855
Lee, I. M., Shiroma, E. J., Lobelo, F., Puska, P., Blair, S. N., &Katzmarzyk, P. T. (2012). Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. The Lancet, 380(9838), 219-229. https://doi.org/10.1016/s0140-6736(12)61031-9
Lim, K. C., Waters, C. M., Froelicher, E. S., & Kayser-Jones, J. S. (2008). Conceptualizing physical activity behavior of older Korean-Americans: An integration of Korean culture and social cognitive theory. Nursing outlook, 56(6), 322-329. https://doi.org/10.1016/j.outlook.2008.09.001
Linke, S. E., Dunsiger, S. I., Gans, K. M., Hartman, S. J., Pekmezi, D., Larsen, B. A., ... & Marcus, B. H. (2019). Association between physical activity intervention website use and physical activity levels among Spanish-speaking Latinas: randomized controlled trial. J Med Internet Res, 21(7), e13063. http://doi.org/10.2196/13063
Maes, S., & Karoly, P. (2005). Self‐regulation assessment and intervention in physical health and illness: A review. Applied psychology, 54(2), 267-299. https://doi.org/10.1111/j.1464-0597.2005.00210.x
Markus, H. R., & Kitayama, S. (1991). Culture and the self: Implications for cognition, emotion, and motivation. Psychological review, 98(2), 224. https://psycnet.apa.org/doi/10.1037/0033-295X.98.2.224
Marcus, B. H., Forsyth, L. H., Stone, E. J., Dubbert, P. M., McKenzie, T. L., Dunn, A. L., & Blair, S. N. (2000). Physical activity behavior change: issues in adoption and maintenance. Health psychology, 19(1S), 32. https://doi.org/10.1037/0278-6133.19.suppl1.32
Marsaux, C. F., Celis-Morales, C., Fallaize, R., Macready, A. L., Kolossa, S., Woolhead, C., & Lambrinou, C. P. (2015). Effects of a web-based personalized intervention on physical activity in European adults: a randomized controlled trial. J Med Internet Res, 17(10), e231. https://doi.org/10.2196/jmir.4660
Middelweerd, A., Mollee, J. S., van der Wal, C. N., Brug, J., & Te Velde, S. J. (2014). Apps to promote physical activity among adults: a review and content analysis. Int J Behav Nutr Phys Act, 11(1), 97. https://doi.org/10.1186/s12966-014-0097-9
Mirzaei-Alavijeh M, Soroush A, Nasirzadeh M, Hatamzadeh N, Zinat-Motlagh F, Jalilian F, et al. (2017). Socio-Cognitive Ministry of Communication and Information Technology. Annual reports 2017. Ministry of Communication and Information Technology; 2017 [cited 2020 August 14]. Available from https://web.kominfo.go.id/sites/default/files/KOMINFO_Laptah%202017_Final_English.pdf
Muellmann, S., Forberger, S., Möllers, T., Bröring, E., Zeeb, H., & Pischke, C. R. (2018). Effectiveness of eHealth interventions for the promotion of physical activity in older adults: A systematic review. Prev Med, 108, 93-110. https://doi.org/10.1016/j.ypmed.2017.12.026
Nelson, M. C., Story, M., Larson, N. I., Neumark-Sztainer, D., & Lytle, L. A. (2008). Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change. Obesity, 16(10),2205. https://doi.org/10.1038/oby.2008.365
Ozdalga, E., Ozdalga, A., & Ahuja, N. (2012). The smartphone in medicine: a review of current and potential use among physicians and students. J Med Internet Res, 14(5), e128. https://doi.org/10.2196/jmir.1994
Pickering, T. G., Hall, J. E., Appel, L. J., Falkner, B. E., Graves, J., Hill, M. N., & Roccella, E. J. (2005). Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Recommendations for blood pressure measurement in humans and experimental animals: Part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Hypertension, 45(1), 142-161. https://doi.org/10.1161/01.hyp.0000150859.47929.8e
Prochaska JO, Velicer WF. (1997). The transtheoretical model of health behavior change. Am J Health Promot. 12(1),38-48. https://doi.org/10.4278%2F0890-1171-12.1.38
Rauner, A., Mess, F., & Woll, A. (2013). The relationship between physical activity, physical fitness and overweight in adolescents: a systematic review of studies published in or after 2000. BMC pediatrics, 13(1), 19. https://doi.org/10.1186/1471-2431-13-19
Schoeppe, S., Alley, S., Van Lippevelde, W., Bray, N. A., Williams, S. L., Duncan, M. J., & Vandelanotte, C. (2016). Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. Int J Behav Nutr Phys Act, 13(1), 127. https://doi.org/10.1186/s12966-016-0454-y
Schuna, J. M., Johnson, W. D., & Tudor-Locke, C. (2013). Adult self-reported and objectively monitored physical activity and sedentary behavior: NHANES 2005–2006. Int J Behav Nutr Phys Act, 10(1), 126. https://doi.org/10.1186/1479-5868-10-126
Silfee, V. J., Haughton, C. F., Jake-Schoffman, D. E., Lopez-Cepero, A., May, C. N., Sreedhara, M., & Lemon, S. C. (2018). Objective measurement of physical activity outcomes in lifestyle interventions among adults: A systematic review. Prev Med Rep, 11, 74-80. https://doi.org/10.1016/j.pmedr.2018.05.003
Söderlund, A., Fischer, A., & Johansson, T. (2009). Physical activity, diet and behaviour modification in the treatment of overweight and obese adults: a systematic review. Perspectives in Public Health, 129(3), 132-142. https://doi.org/10.1177/1757913908094805
Sriramatr, S., Silalertdeskul, S., & Wachirathanin, P. (2016). Social cognitive theory associated with physical activity in undergraduate students: A cross-sectional study. Pacific Rim International Journal of Nursing Research, 20(2), 95-105. available from https://he02.tci-thaijo.org/index.php/PRIJNR/article/view/41039
Tudor-Locke, C., Craig, C. L., Thyfault, J. P., & Spence, J. C. (2013). A step-defined sedentary lifestyle index:< 5000 steps/day. Applied physiology, nutrition, and metabolism, 38(2), 100-114. https://doi.org/10.1139/apnm-2012-0235
Vandelanotte, C., Spathonis, K. M., Eakin, E. G., & Owen, N. (2007). Website-delivered physical activity interventions: A review of the literature. Am J Prev Med, 33(1), 54-64. https://doi.org/10.1016/j.amepre.2007.02.041
Wadsworth, D. D., & Hallam, J. S. (2010). Effect of a web site intervention on physical activity of college females. Am J Health Behav, 34(1), 60-69. https://doi.org/10.5993/ajhb.34.1.8
Wanner, M., Martin-Diener, E., Braun-Fahrländer, C., Bauer, G., & Martin, B. W. (2009). Effectiveness of active-online, an individually tailored physical activity intervention, in a real-life setting: randomized controlled trial. J Med Internet Res, 11(3), e23. https://doi.org/10.2196/jmir.1179
Wilmot, Emma G., Charlotte L. Edwardson, Felix A. Achana, Melanie J. Davies, Trish Gorely, Laura J. Gray, Kamlesh Khunti, Thomas Yates, and Stuart JH Biddle. (2012)."Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta- analysis." Diabetologia,55(11),2895-2905. https://doi.org/10.1007/s00125-012-2677-z
World Health Organization. (2018). Global health observatory (GHO) data. Available form: http://www.who.int/gho/tb/en
World Health Organization. (2000). Obesity: preventing and managing the global epidemic: World Health Organization. Available from https://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en/
DOI: https://doi.org/10.33024/minh.v4i1.3492
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