In collaboration with Payame Noor University and Iranian Health Psychology Association

Document Type : Scientific Research

Authors

1 M.A. in Sport Psychology, Young Researchers and Elite Club, Urmia Branch, Islamic Azad University, Urmia, Iran.

2 Assistant Professor in Motor Behaviour, Young Researchers and Elite Club, Urmia Branch, Islamic Azad University, Urmia, Iran

Abstract

Objective: The aim of the present study was to examine the effects of web-based physical activity program interventions on the rate of physical activity and psychological well-being in adolescents with insufficient physical activity. Method: The research methodology is semi-experimental including pretest-posttest design.the Number of 60 adolescents with insufficient physical activity (15-17 years old) from Tabriz city were selected in non-probability purposive sampling. Participants were randomly assigned to equal groups: experimental group (web-based physical activity intervention, 24 programs during 8 weeks) (N= 30) and control group (without intervention) (N=30). Participants completed a series of questionnaires which assess the amount of Physical Activity (light, mild, vigorous and total) and Psychological Well-being (positive and negative affect, subjective vitality). Results: The results showed that Web-based physical activity intervention has a significant effect on the amount of physical activity (light, moderate, vigorous, and total), and on psychological well-being (positive affect, negative affect, and subjective vitality). Conclusion: Overall, these findings suggest that the use of web-based physical activity intervention can lead to promoting in physical activity and psychological well-being among sedentary adolescents.

Keywords

Main Subjects

بخشی‌پور، عباس. دژکام، محمود. (1387). تحلیل عاملی تأییدی مقیاس عاطفه مثبت و منفی. روانشناسی، 3(9), 351-365.
هزاوه ای، محمد مهدی. اسدی، زهرا. حسن زاده، اکبر. شکرچی زاده، پریوش. (1387). مقایسه تأثیر دو روش ارایه واحد درسی تربیت بدنی 2 بر نگرش و عملکرد مرتبط با فعالیت جسمانی منظم دانشجویان دختر دانشگاه علوم پزشکی اصفهان. مجله ایرانی آموزش در علوم پزشکی. (8) 121-133
Binks, M., & van Mierlo, T. (2010). Utilization patterns and user characteristics of an ad libitum Internet weight loss program. Journal of medical Internet research, 12(1), e9.
Booth, M. L., Ainsworth, B. E., Pratt, M., Ekelund, U., Yngve, A., Sallis, J. F., & Oja, P. (2003). International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc, 195(9131/03), 3508-1381.
Burgess, G., Grogan, S., & Burwitz, L. (2006). Effects of a 6-week aerobic dance intervention on body image and physical self-perceptions in adolescent girls. Body image, 3(1), 57-66.
Collings, P. J., Wijndaele, K., Corder, K., Westgate, K., Ridgway, C. L., Dunn, V., . . . Brage, S. (2014). Levels and patterns of objectively-measured physical activity volume and intensity distribution in UK adolescents: the ROOTS study. Int J Behav Nutr Phys Act, 11, 23.
Couper, M. P., Alexander, G. L., Maddy, N., Zhang, N., Nowak, M. A., McClure, J. B., . . . Little, R. J. (2010). Engagement and retention: measuring breadth and depth of participant use of an online intervention. Journal of medical Internet research, 12(4), e52.
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. International Journal of Behavioral Nutrition and Physical Activity.
Friederichs, S. A., Bolman, C., Oenema, A., Verboon, P., & Lechner, L. (2016). Exploring the working mechanisms of a web-based physical activity intervention, based on self-determination  theory and motivational interviewing. Internet Interventions, 3, 8-17.
Garrett, S., Elley, C. R., Rose, S. B., O'Dea, D., Lawton, B. A., & Dowell, A. C. (2011). Are physical activity interventions in primary care and the community cost-effective? A systematic review of the evidence. Br J Gen Pract, 61(584), e125-e133.
Granero-Gallegos, A., Baena-Extremera, A., Pérez-Quero, F. J., Ortiz-Camacho, M. M., & Bracho-Amador, C. (2012). Analysis of motivational profiles of satisfaction and importance of physical education in high school adolescents. Journal of Sports Science and Medicine, 11(4), 614-623.
Hargreaves, E. A., Mutrie, N., & Fleming, J. D. (2016). A Web-Based Intervention to Encourage Walking (StepWise): Pilot Randomized Controlled Trial. JMIR research protocols, 5(1).
Heath, G. W., Parra, D. C., Sarmiento, O. L., Andersen, L. B., Owen, N., Goenka, S., . . . Group, L. P. A. S. W. (2012). Evidence-based intervention in physical activity: lessons from around the world. The lancet, 380(9838), 272-281.
Hui, E., Chui, B. T.-k., & Woo, J. (2009). Effects of dance on physical and psychological well-being in older persons. Archives of gerontology and geriatrics, 49(1), e45-e50.
Hurling, R., Catt, M., De Boni, M., Fairley, B., Hurst, T., Murray, P., . . . Sodhi, J. (2007). Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. Journal of medical Internet research, 9(2), e7.
Irvine, A. B., Gelatt, V. A., Seeley, J. R., Macfarlane, P., & Gau, J. M. (2013). Web-based intervention to promote physical activity by sedentary older adults: randomized controlled trial. Journal of medical Internet research, 15(2), e19.
Linke, S., Murray, E., Butler, C., & Wallace, P. (2007). Internet-based interactive health intervention for the promotion of sensible drinking: patterns of use and potential impact on members of the general public. Journal of medical Internet research, 9(2), e10.
Lustria, M. L. A., Noar, S. M., Cortese, J., Van Stee, S. K., Glueckauf, R. L., & Lee, J. (2013). A meta-analysis of web-delivered tailored health behavior change interventions. Journal of health communication, 18(9), 1039-1069.
Mark, A. E., & Janssen, I. (2011). Influence of movement intensity and physical activity on adiposity in youth. Journal of Physical Activity and Health, 8(2), 164.
Martins, R. K., & McNeil, D. W. (2009). Review of motivational interviewing in promoting health behaviors. Clinical psychology review, 29(4), 283-293.
Nelson, M. C., Neumark-Stzainer, D., Hannan, P. J., Sirard, J. R., & Story, M. (2006). Longitudinal and secular trends in physical activity and sedentary behavior during adolescence. Pediatrics, 118(6), e1627-e1634.
Norman, G. J., Zabinski, M. F., Adams, M. A., Rosenberg, D. E., Yaroch, A. L., & Atienza, A. A. (2007). A review of eHealth interventions for physical activity and dietary behavior change. American journal of preventive medicine, 33(4), 336-345. e316.
Ntoumanis, N. (2005). A prospective study of participation in optional school physical education using a self-determination theory framework. Journal of educational psychology, 97(3), 444.
Patrick, H., & Canevello, A. (2011). Methodological overview of a self-determination theory-based computerized intervention to promote leisure-time physical activity. Psychology of Sport and Exercise, 12(1), 13-19
 
 
 
Peels, D. A., Bolman, C., Golsteijn, R. H. J., De Vries, H., Mudde, A. N., van Stralen, M. M., & Lechner, L. (2012). Differences in reach and attrition between Web-based and print-delivered tailored interventions among adults over 50 years of age: clustered randomized trial. Journal of medical Internet research, 14(6), e179.
Parrott, M. W., Tennant, L. K., Olejnik, S., & Poudevigne, M. S. (2008). Theory of planned behavior: Implications for an email-based physical activity intervention. Psychology of sport and exercise, 9(4), 511-526.‏
Ryan, R. M., & Frederick, C. (1997). On energy, personality, and health: Subjective vitality as a dynamic reflection of well‐being. J Pers, 65(3), 529-565.
Schiffer, T., Kleinert, J., Sperlich, B., Schulte, S., & Strüder, H. K. (2009). Effects of aerobic dance and fitness programme on physiological and psychological performance in men and women. International Journal of Fitness, 5(2).
Smedegaard, S., Christiansen, L. B., Lund-Cramer, P., Bredahl, T., & Skovgaard, T. (2016). Improving the well-being of children and youths: a randomized multicomponent, school-based, physical activity intervention. BMC public health, 16(1), 1127.
Telama, R., Yang, X., Viikari, J., Välimäki, I., Wanne, O., & Raitakari, O. (2005). Physical activity from childhood to adulthood: a 21-year tracking study. American journal of preventive medicine, 28(3), 267-273.
Thompson, E. R. (2007). Development and validation of an internationally reliable short-form of the positive and negative affect schedule (PANAS). Journal of cross-cultural psychology, 38(2), 227-242.
Troiano, R. P., Berrigan, D., Dodd, K. W., Masse, L. C., Tilert, T., & McDowell, M. (2008). Physical activity in the United States measured by accelerometer. Medicine and science in sports and exercise, 40(1), 181.
Van den Berg, M. H., Schoones, J. W., & Vlieland, T. P. V. (2007). Internet-based physical activity interventions: a systematic review of the literature. J Med Internet Res, 9(3), e26.
Van Kessel, G., Kavanagh, M., & Maher, C. (2016). A Qualitative Study to Examine Feasibility and Design of an Online Social Networking Intervention to Increase Physical Activity in Teenage Girls. PLoS One, 11(3), e0150817.
Vandelanotte, C., Short, C., Plotnikoff, R., Hooker, C., Canoy, D., Rebar, A., . . . Duncan, M. (2015). TaylorActive–Examining the effectiveness of web-based personally-tailored videos to increase physical activity: a randomised controlled trial protocol. BMC Public Health, 15(1), 1.
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol, 54(6), 1063.
 
 
 
World Health Organization. (2012). Global strategy on diet, physical activity and health. Geneva: World Health Organization, 2004. World Health Assembly, 57.
Wu, S., Cohen, D., Shi, Y., Pearson, M., & Sturm, R. (2011). Economic analysis of physical activity interventions. American journal of preventive medicine, 40(2), 149-158.
Zbikowski, S., Hapgood, J., Barnwell, S. S., & McAfee, T. (2008). Phone and web-based tobacco cessation treatment: real-world utilization patterns and outcomes for 11,000 tobacco users. Journal of medical Internet research, 10(5), e41.