نقش عوامل انگیزشی و ویژگیهای نرم افزارهای کاربردی ورزشی بر دانش، نگرش و مشارکت ورزشی با توجه به نقش میانجی میزان استفاده از نرم افزارهای کاربردی ورزشی از دیدگاه شهروندان استان گلستان
فصلنامه سلامت اجتماعی,
دوره 9 شماره 6,
2 ژانویهٔ 2023
,
صفحه 1-17
https://doi.org/10.22037/ch.v9i6.31589
چکیده
زمینه و هدف: امروزه فناوریهای مختلف نقش مهمی در ارتقاء سلامت افراد جامعه دارند و در چند سال اخیر استفاده از فناوریهای سلامتی همراه همچون نرم افزارهای کاربردی ورزشی در سراسر جهان رو به افزایش بوده است. دلایل استفاده از این
نرم افزارهای کاربردی ورزشی و پیامدهای آن، نیاز به مطالعه بیشتر دارد. لذا این پژوهش با هدف مطالعه نقش عوامل انگیزشی و ویژگیهای نرم افزارهای کاربردی ورزشی بر نگرش،دانش و مشارکت ورزشی با توجه به نقش میانجی میزان استفاده از نرم افزارهای کاربردی ورزشی از دیدگاه شهروندان استان گلستان انجام شد.
روش و مواد: این پژوهش به صورت مدلیابی معادلات ساختاري با مشارکت 394 نفر از شهروندان استفاده کننده از نرم افزارهای کاربردی ورزشی در استان گلستان در سال 1400 انجام شد. نمونه گیری به صورت نمونه گیری در دسترس انجام شد. جهت گردآوری دادهها، از پرسشنامههای عوامل انگیزشی استفاده از نرم افزارهای کاربردی ورزشیVilalobas Zoniga and chirobita، ویژگیهای نرم افزارهای کاربردی ورزشی Rinaldsoun، نرم افزارهای کاربردی ورزشی Chiuo، دانش در خصوص فعالیتبدنی Liou، نگرش به فعالیتبدنی Cheng، و مشارکت ورزشی Smith استفاده شد. همچنین برای تجزیه و تحلیل دادهها از آمار توصیفی و استنباطی از روش معادلات ساختاری و نرم افزار PLS3 استفاده شد.
یافته ها: بین عوامل انگیزشی و استفاده از نرم افزارهای کاربردی ورزشی (194/0=β، 665/2=t)، بین ویژگی نرم افزارهای کاربردی ورزشی و استفاده از نرم افزارهای کاربردی ورزشی (496/0=β، 665/6=t)، بین استفاده از نرم افزارهای کاربردی ورزشی و نگرش به فعالیتبدنی (757/0=β، 114/40=t) و بین استفاده از نرم افزارهای کاربردی ورزشی و دانش در خصوص فعالیتبدنی (757/0=β، 896/41=t) و در نهایت بین استفاده از نرم افزارهای کاربردی ورزشی و مشارکت ورزشی شهروندان استان گلستان (619/0=β، 588/21=t) رابطه مثبت و معنیدار دیده شد. استفاده از نرم افزارهای کاربردی ورزشی در رابطه بین عوامل انگیزشی، ویژگی نرمافزارهای کاربردی ورزشی با نگرش به فعالیت بدنی، دانش در خصوص فعالیت بدنی و مشارکت ورزشی نقش واسطهای دارد (001/0>P).
نتیجهگیری: مطالعه نشان داد استفاده از نرم افزارهای کاربردی ورزشی با نگرش مثبت به فعالیتبدنی، دانش در خصوص فعالیتبدنی و مشارکت ورزشی شهروندان رابطه مثبتی دارد و همچنین انگیزههای شخصی افراد و ویژگیهای نرم افزارهای کاربردی ورزشی در انتخاب این نرم افزارها مؤثر است.
- کاربرد ورزشی، فعالیت بدنی، مشارکت ورزشی، عوامل انگیزشی
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مراجع
Sun, R.T., Han, W., Chang, H.L., & Shaw, M.J. Motivating adherence to exercise plans through a personalized mobile health App: Enhanced action design research approach. JMIR MHealth and Uhealth. 2021; 9(6): 1–16.
Shin, Y., Kim, S. K., & Lee, M. Mobile phone interventions to improve adolescents’ physical health: A systematic review and meta‐analysis. Public Health Nursing. 2019; 36(6): 787–799.
Wibowo, R.A., Kelly, P., & Baker, G. The effect of smartphone application interventions on physical activity level among university/college students: A systematic review protocol. Physical Therapy Reviews. 2020; 25(2): 135–142.
Riley, W.T., Rivera, D.E., Atienza, A.A., Nilsen, W., Allison, S.M., & Mermelstein, R. Health behavior models in the age of mobile interventions: Are our theories up to the task? Translational Behavioral Medicine. 2011; 1(1): 53–71.
Laranjo, L., Ding, D., Heleno, B., Kocaballi, B., Quiroz, J.C., Tong, H.L., Chahwan, B., Neves, A.L., Gabarron, E., Dao, K.P.Rodrigues, D., Neves, G.C., Antunes, M.L., Coiera, E., & Bates, D.W. Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and meta-regression. British Journal of Sports Medicine. 2021; 55: 422–432.
Fukuoka, Y., William Haskell, R.N., Lin, F., & Vittinghoff, E. Short- and long-term effects of a mobile phone app in conjunction with brief in-person counseling on physical activity among physically inactive women: The mPED randomized clinical trial. JAMA Network Open. 2019; 2(5): 1–13.
Romeo, A., Edney, S., Plotnikoff, R., Curtis, R., Ryan, J., Sanders, I., Crozier, A., & Maher, C. Can smartphone apps increase physical activity? Systematic review and meta-analysis. Journal of Medical Internet Research. 2019; 21(3): 1–14.
Pradal-Cano, L., Lozano-Ruiz, C., Pereyra-Rodríguez, J.J., Saigí-Rubió, F., Bach-Faig, A., Esquius, L., Medina, X., & Aguilar-Martínez, A. Using mobile applications to increase physical activity: A systematic review. International Journal of Environment Research Public Health. 2020; 17: 1–17.
Helbostad, J. L., Vereijken, B., Becker, C., Todd, C., Taraldsen, K., Pijnappels, M., Aminian, K., & Mellone, S. Mobile health applications to promote active and healthy ageing. Sensors (Switzerland). 2017; 17(3): 1–13.
Chen, J., Lieffers, J., Bauman, A., Hanning, R., & Allman‐Farinelli, M. The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: A three country study. Journal of Human Nutrition and Dietetics. 2017; 30(4): 439–452.
Larson, R.S. A path to better-quality mHealth apps. JMIR MHealth and Uhealth. 2018; 6(7): e10414.11-
Azad-Khaneghah, P., Neubauer, N., Miguel Cruz, A., & Liu, L. Mobile health app usability and quality rating scales: A systematic review. Disability and Rehabilitation: Assistive Technology. 2020; 16(7): 1–11.
Harries, T., Eslambolchilar, P., Rettie, R. Stride, C., Walton, S., & Van Woerden, H.C. Effectiveness of a smartphone app in increasing physical activity amongst male adults: A randomized controlled trial. BMC Public Health. 2016; 16: 925–935.
Zhang, X., & Xu, X. Continuous use of fitness apps and shaping factors among college students: A mixed-method investigation. International Journal of Nursing Sciences. 2020; 7: 80–87.
Klenk, S., Reifegerste, D., & Renatus, R. Gender differences in gratifications from fitness app use and implications for health interventions. Mobile Media & Communication. 2017; 5(2): 178–193.
Krebs, P., & Duncan, D.T Health app use among US mobile phone owners: A national survey. JMIR MHealth and Uhealth. 2015; 3(4): e101.
Tu, R., Hsieh, P., & Feng, W. Walking for fun or for ‘‘likes”? The impacts of different gamification orientations of fitness apps on consumers’ physical activities. Sport Management Review. 2019; 22(5): 682–693.
Muntaner-Mas, A., Martinez-Nicolas, A., Lavie, C.J., Blair, S.N., Ross, R., & Ortega, F.B. A systematic review of fitness apps and their potential clinical and sports utility for objective and remote assessment of cardiorespiratory fitness. Sports Medicine. 2019; 49: 587–600.
Hoj, T.H., Covey, E.L., Jones, A.C., Haines, A.C., Hall, P.C., Crookston, B.T., & West, J.H. How do Apps work? An analysis of physical activity App users’ perceptions of behavior change mechanisms. JMIR MHealth and Uhealth. 2017; 5(8): 1–10.
Luo, W., & He, Y. Influence of sports applications on college students’ exercise behaviors and habits: A thematic analysis. Alexandria Engineering Journal. 2021; 60: 5095–5104.
Barkley, J.E., Lepp, A., Santo, A., Glickman, E., & Dowdell, B. The relationship between fitness app use and physical activity behavior is mediated by exercise identity. Computers in Human Behavior. 2020; 108: 1–6.
McKay, F.H., Wright, A., Shill, J., Stephens, H., & Uccellini, M. Using health and well-being apps for behavior change: A systematic search and rating of apps. JMIR MHealth and Uhealth. 2019;7(7): 1–11.
Beldad, A.D., & Hegner, S.M. Expanding the technology acceptance model with the inclusion of trust, social influence, and health evaluation to determine the predictors of German users’ willingness to continue using a fitness app: A structural equation modeling approach. International Journal of Human–Computer Interaction. 2018; 34: 882–893.
Zhao, J., Freeman, B., & Li, M. Can mobile phone apps influence people's health behavior change? An evidence review. Journal of Medical Internet Research. 2016; 18(11): 47–59.
Jefrey, B., Bagala, M., Creighton, A., Leavey, T., Nicholls, S., Wood, C., Longman, J., Barker, J., & Sabrina, P. Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users. Diabetology & Metabolic Syndrome. 2019; 11(84): 1–17.
Angosto, S., García-Fernández, J., Valantine, I., & Grimaldi-Puyana, M. The intention to use fitness and physical activity apps: A systematic review. Sustainability, 2020; 12: 1–24.
Fiedler, J., Eckert, T., Wunsch, K. & Woll, A. Key facets to build up eHealth and mHealth interventions to enhance physical activity, sedentary behavior and nutrition in healthy subjects – an umbrella review. BMC Public Health. 2020; 20: 1–21.
Zhou, L., Bao, J., Watzlaf, V., & Parmanto, B. Barriers to and facilitators of the use of mobile health apps from a security perspective: Mixed-methods study. JMIR MHealth and Uhealth. 2019; 7(4): e11223.
Gabriele, S., & Chiasson, S. Understanding Fitness Tracker Users' Security and Privacy Knowledge, Attitudes and Behaviors. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, April. 2020: 1–12.
Materia, F.T., Faasse, K., & Joshua, M., Smyth, J.M. Understanding and preventing health concerns about emerging mobile health technologies. JMIR MHealth and Uhealth. 2020; 8(5): e14375.
Wang, C., & Qi, HInfluencing factors of acceptance and use behavior of mobile health application users: Systematic review. Healthcare. 2021; 9: 357–370.
Paganini, S., Terhorst, Y., Sander, L.B., Catic, S., Balci, S., Küchler, A.M., Schultchen, D., Plaumann, K., Sturmbauer, S., Krämer, L.V., Lin, J., Wurst, R., Pryss, R., Baumeister, H., & Messner, E.M. Quality of physical activity apps: Systematic search in app stores and content analysis. JMIR MHealth and Uhealth. 2021; 9(6): e22587.
Zahedul Alam, M., Hu, W., Kaium, M., Hoque, R., Didarul Alam, M.M. Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach. Technology in Society. 2020; 61: 1–18
Kang, S.J., Ha, J.P., Hambrick, M.E. A mixed-method approach to exploring the motives of sport-related mobile applications among college students. Journal of Sport Management. 2015; 29(3): 272–290.
Lai, G., Chia, C., Dip, G., Anderson, A., & McLean, L.A. Behavior change techniques incorporated in fitness trackers: Content analysis. JMIR MHealth and Uhealth. 2019; 7(7): e12768.
Lynch, C., Bird, S., Lythgo, N., & Selva-Raj, I. Changing the physical activity behavior of adults with fitness trackers: A systematic review and meta-analysis. American Journal of Health Promotion. 2020; 34(4): 418–430.
Busch, L., Utesch, T., & Strauss, B. Normalised step targets in fitness apps affect users’ autonomy need satisfaction, motivation and physical activity – a six-week RCT. International Journal of Sport and Exercise Psychology. 2020; 223-244.
Vinnikova, A., Liangdong Lu, L., Wei, J., Fang, G., & Yan, J. The use of smartphone fitness applications: The role of self-efficacy and self-regulation. International Journal of Environmental Research Public Health. 2020; 17: 2–17.
Jin, D., Halvari, H., Maehle, N., & Olafsen, A.H: Self-tracking behavior in physical activity: a systematic review of drivers and outcomes of fitness tracking. Behavior & Information Technology. 2020;41(2): 242-261.
Naeimikia, M., & Gholami, A. Effect of physical activity on the level of perceived mental pressure during home quarantine due to coronavirus outbreak. Journal of Rehabilitation Medicine. 2020; 9(3): 217–224. (Full Text in Persian)
Dehdashti Shahrokh, Z., & Abdollahpour, S. Model of behavioral intention and adoption to mobile bank in ank Saderat Iran. Business Management Perspective. 2016; 16(31): 31–48. (Full Text in Persian)
Villalobos-Zúñiga, G., & Cherubini, M. Apps that motivate: Taxonomy of app features based on self-determination theory. International Journal of Human-Computer Studies. 2020; 140: 1-24.
Rinaldsoun, C., Stones, C., Allsop, M., Gardner, P., Bennett, M.I., Closs, J., Jones, R., & Knapp, P. Assessing the Quality and Usability of Smartphone Apps for Pain Self-Management. Pain Medicine. 2014; 15: 898–909.
Chiuo, W., Cho, H., & Chi, C.G. Consumers' continuance intention to use fitness and health apps: an integration of the expectationconfirmation model and investment model. Information Technology & People. 2020; 34(3): 978-998.
Cheng, Y. Study attitude to physical activity participation in China population. Master’s Thesis, Beijing Sport University, Beijing. 20120;44.
Liou, X. The role of physical activity knowledge in adult sports participation. Master’s Thesis, Zhejiang University, Hangzhou. 2012.
Smith, D., Eime, R., & Charity, M. Sports participation: Modeling the influencing factors. Journal of Sport and Health Science. 2016; 15: 75-91
Westmattelmann, D., Grotenhermen, J. G., Sprenger, M., Rand, W., & Schewe, G. Apart we ride together: The motivations behind users of mixed-reality sports. Journal of Business Research. 2021; 134: 316-328.
Hayotte, M., Martinent, G., Nègre, V., Thérouanne, P., & d’Arripe-Longueville, F. Acceptability of technology-based physical activity intervention profiles and their motivational factors in obesity care: a latent profile transition analysis. International Journal of Obesity. 2021; 45(7): 1488-1498.
Kari, T., Makkonen, M., Carlsson, J., & Frank, L. Using a Physical Activity Application to Promote Physical Activity Levels Among Aged People: A Follow-Up Study. In Proceedings of the 54th Hawaii International Conference on System Sciences. 2021; 1242-1251.
Vale, L., & Fernandes, T. Social media and sports: driving fan engagement with football clubs on Facebook. Journal of Strategic Marketing, 2018; 26(1): 37-55
Lee, R. K. W., Hoang, T. A., & Lim, E. P. Discovering hidden topical hubs and authorities across multiple online social networks. IEEE Transactions on Knowledge and Data Engineering, 2019; 33(1): 70-84.
Wetzels, M. & Thonhauser, G., Emotional sharing in football audiences. Journal of the Philosophy of Sport, 2019; 46(2): 224-243.
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