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Relationship between Level of Physical Activity and Exercise Imagery among Klang Valley Citizens
Authors: Kok, M.O., Omar-Fauzee, M.S., Rosli, M.H.
Abstract:This study investigated the relationship between exercise imagery use and level of physical activity within a wide range of exercisers in Klang valley, Malaysia. One hundred and twenty four respondents (Mage = 28.92, SD = 9.34) completed two sets of questionnaires (Exercise Imagery Inventory and Leisure-Time Exercise Questionnaire) that measure the use of imagery and exercise frequency of participants. From the result obtained, exercise imagery is found to be significantly correlated to level of physical activity. Besides that, variables such as gender, age and ethnicity that may affect the use of imagery and exercise frequency were also being assessed in this study. Among all variables, only ethnicity showed significant difference in level of physical activity (p < 0.05). Findings in this study suggest that further investigation should be done on other variables such as socioeconomic, educational level, and selfefficacy that may affect the imagery use and frequency of physical activity among exercisers.
Keywords: Physical activity, exercise imagery, ExerciseImagery Inventory, Leisure-Time Exercise Questionnaire
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1328950Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2281
 Taylor, J., & Wilson, G. S. (2005). Applying Sport Psychology. Champaign: Human Kinetics.
 Jones, L., & Stuth, G. (1997). The Uses of Mental Imagery in athletics: An overview. Applied & Preventive Psychology, 6 , 101-115.
 Saedeghi, H., Omar Fauzee M.S., Jamalis, M, Abd-Latif, R. (2010). The Mental Skills Training of University Soccer Players. International Education Studies, 3, 81-89.
 Gammage, K. L., Hall, C. R., & Rodgers, W. M. (2000). More About Exercise Imagery. The Sport Psychologist, 14 , 348-359.
 Hausenblas, A. H., Hall, C. R., Rodgers, W. M., & Munroe, K. J. (1999). Exercise Imagery: Its Nature and Measurement. Journal of Applied Sport Psychology, 11 , 171-180.
 Giacobbi, P. R., Hausenblas, H. A., Fallon, E. A., & Hall, C. A. (2003). Even More About Exercise Imagery: A Grounded Theory of Exercise Imagery. Journal of Applied Sport Psychology, 15 , 160-175.
 Gregg, M., & Hall, C. (2006). The Relationship of Skill Level and Age to the Use of Imagery by Golfers. Journal of Applied Sport Psychology, 18 , 363-375.
 Omar-Fauzee, M. S., Daud, W. R., Abdullah, R., & Rashid, S. A. (2009). The Effectiveness of Imagery and Coping Strategies in Sport Performance. European Journal of Social Sciences, 9(1) , 97-108.
 Ramsey, R., Cumming, J., Edwards, M. G., Williams, S., & Brunning, C. (2010, August 14). Examining the emotion aspect of PETTLEP-based imagery with penalty taking in soccer. Retrieved October 6, 2010, from The Free Library: http://www.thefreelibrary.com/Examining+the+emotion+aspect+of+PE TTLEP-based+imagery+with+penalty...-a0234228320
 Holmes, P. S., & Collins, D. J. (2001). The PETTLEP approach to motor imagery: A functional equivalence model for sport psychologists. Journal of Applied Sport Psychology, 13 , 60-83.
 Munroe-Chandler, K. J., & Gammage, K. L. (2005). Now See This: A New Vision of Exercise Imagery. Exercise and Sport Science Review , 201-205.
 Reilly, J. J., L. Kelly, et al. (2006). "Physical activity to prevent obesity in young children: cluster randomised controlled trial." BMJ 333(7577): 1041-.
 Boyle, S., G. Jones, et al. (2008). "Physical activity among adolescents and barriers to delivering physical education in Cornwall and Lancashire, UK: A qualitative study of heads of PE and heads of schools." BMC Public Health 8(1): 273.
 Duncan, J. S., H. M. Badland, et al. (2009). "Combining GPS with heart rate monitoring to measure physical activity in children: A feasibility study." Journal of Science and Medicine in Sport 12(5): 583-585.
 Omondi, D.O., Walingo, M.K., Mbagaya, G.M., Othuon, L.O.A. (2010). Understanding Physical Activity Behavior of Type 2 Diabetics Using the Theory of Planned Behavior and Structural Equation Modeling. International Journal of Human and Social Sciences 5:3 2010.
 WHO. (2010). WHO Global Info Base: Indicator. Retrieved September 8, 2010, from World Health Organisation: https://apps.who.int/infobase/Indicators.aspx
 Yap, S. F., & Sabaruddin, N. A. (2008). An Extended Model of Theory of Planned Behaviour in Predicting Exercise Intention. International Business Research, 1 , 108-122.
 Zalilah, M. S., Khor, G. L., Mirnalini, K., Norimah, A. K., & Ang, M. (2006). Dietary intake, physical activity and energy expenditure of Malaysian adolescents. Singapore Medical Journal, 47(6) , 491-498.
 Giacobbi, P. R., Hausenblas, H. A., & Penfield, R. D. (2005). Further Refinements in the Measurement of Exercise Imagery: The Exercise Imagery Inventory. Measurement In Physical Education and Exercise Science, 9(4) , 251-266.
 Giacobbi, P. R. (2007). Age and Activity Differences in Use of Exercise Imagery. Journal of Applied Sport Psychology, 19 , 487-493.
 Godin, G., & Shephard, R. J. (1985). A simple method to assess exercise behavior in the community. Canadian Journal of Applied Sport Science, 10 , 141-146.
 Cumming, J. (2008). Investigating the Relationship between Exercise Imagery, Leisure-Time Exercise Behavior, and Self-Efficacy. Journal of Applied Sport Psychology, 20 , 184-198.
 Rattanakoses, R., Omar-Fauzee, M. S., Soh, K. G., Abdullah, M. C., Choosakul, C., Nazaruddin, M. N., et al. (2009). Evaluating the Relationship of Imagery and Self-Confidence in Female and Male Athletes. European Journal of Social Science, 10 , 129-142.
 Dan, S. P., & Nasir, M. T. (2008). Psycho-social Correlates of Physical Activity in Young Adolescents. 23rd Scientific Conference of the Nutrition Society of Malaysia (p. 28). Kuala Lumpur: Nutrition Society of Malaysia.