Development of Sports Nutrition Educational Tools (NutriSportExTM): A Web-Application for Malaysian National Athletes.

Chan Yein Tsin, Nik Shanita Safii, Abdul Hadi Abd Rahman, Norafifah Ahmad Shabri, Mohd Izham Mohamad, Azimah Ahmad, Pushpa Baladandapla Shivappa, Poh Bee Koon, Ruzita Abd Talib

Abstract


The use of electronics or technology, to improve the subjects’ knowledge, attitude, and practice (KAP) in nutrition or their compliance in recording their diet, for general primary care is not uncommon. However, there are more to be explored to improve sports nutrition KAP. The objective of this study was to develop a web app tool for athletes to increases their KAP in sports nutrition and to test on their acceptance towards the web app tool. This study was divided into 3 phases. Phase I involves the development of the web app. In Phase II, a focus group of 20 people was recruited to test the web app tool. Phase III was to evaluate the effectiveness of the web app in increasing athletes’ sports nutrition KAP and their acceptance of the web app. 30 athletes were recruited to use this web app for a week, a PRE- and POST-intervention KAP questionnaire were given. There was a strong correlation between athletes’ attitude towards this tool and intention to use in the future (r = 0.675). The more this web app tool was perceived as useful, the more likely they will visit the web app (r = 0.589). Although the web app was well-accepted among the athletes, their KAP score was significantly reduced after the intervention (p= 0.011). The reduction of scores was due to the lack of consistent usage on the web app. In conclusion, it requires more facilitating support from the coach, longer training time, reminders, and entertainment features for consistent usage, to improve the athletes’ KAP in sports nutrition via the web app.


Keywords


Web app, education tool, KAP, sports nutrition, acceptance

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References


Ainaa Mastura. A.B. & Norhasniza, Y. 2007. Tesis Sarjanamuda Sains Pemakanan: UKM

Bonilla, C., Brauer, P., Royall, D., Keller, H., Hanning, R. M. & Dicenso, A. 2015. Use of Electronic Dietary Assessment Tools in Primary Care: An Interdisciplinary Perspective. BMC Med Inform Decis Mak 15(14.)

Boushey, C. J. & Harray, A. J. 2015. How Willing Are Adolescents to Record Their Dietary Intake? The Mobile Food Record. 3(2): e47.

Boushey, C. J., Kerr, D. A., Wright, J., Lutes, K. D., Ebert, D. S. & Delp, E. J. 2009. Use of Technology in Children's Dietary Assessment. Eur J Clin Nutr 63 Suppl 1(S50-57).

Brouwer, W., Kroeze, W., Crutzen, R., De Nooijer, J., De Vries, N. K., Brug, J. & Oenema, A. 2011. Which Intervention Characteristics Are Related to More Exposure to Internet-Delivered Healthy Lifestyle Promotion Interventions? A Systematic Review. J Med Internet Res 13(1): e2.

Castaneda, J. A., Munoz-Leiva, F. & Luque, T. 2007. Web Acceptance Model (Wam): Moderating Effects of User Experience. Inf. Manage. 44(4): 384-396.

Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319–340.

Davis, F. D., Bagozzi, R. P. & Warshaw, P. R. 1989. User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), 982–1003.

Davis, F. D., Bagozzi, R. P. & Warshaw, P. R. 1992. Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of applied social psychology, 22(14), 1111–1132.

Holroyd, B. R., Bullard, M. J., Graham, T. A. & Rowe, B. H. 2007. Decision Support Technology in Knowledge Translation. Acad Emerg Med 14(11): 942-948.

Hongu, N., Hingle, M. D., Merchant, N. C., Orr, B. J., Going, S. B., Mosqueda, M. I. & Thomson, C. A. 2011. Dietary Assessment Tools Using Mobile Technology. Topics in Clinical Nutrition 26(4): 300-311.

Kim, H.-W., Chan, H. C. & Gupta, S. 2007. Value-based adoption of mobile internet: an empirical investigation. Decision Support Systems, 43(1), 111–126.

Lieffers, J. R. & Hanning, R. M. 2012. Dietary Assessment and Self-Monitoring with Nutrition Applications for Mobile Devices. Can J Diet Pract Res 73(3): e253-260.

Schepers, J. & Wetzels, M. 2007. A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & management, 44(1), 90–103.

Shang, R.-A., Chen, Y.-C. & Shen, L. 2005. Extrinsic versus intrinsic motivations for consumers to shop on-line. Information & Management, 42(3), 401–413.

Venkatesh, V. & Brown, S. A. 2001. A longitudinal investigation of personal computers in homes: adoption determinants and emerging challenges. MIS quarterly, 71–102.

Venkatesh, V. 2000. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342–365.

Wolinsky, I. & Driskell, J. A. 2001. Nutritional Applications in Exercise and Sport. 1st. United States of America CRC Press LLC

Yu, J., Ha, I., Choi, M. & Rho, J. 2005. Extending the TAM for a t-commerce. Information & management, 42(7), 965–976.




DOI: http://dx.doi.org/10.15282/mohe.v6i2.144


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DOI: http://dx.doi.org/10.15282/mohe