Autonomous forms of motivation underpinning injury prevention and rehabilitation among police officers: An application of the trans-contextual model
The present study applied the trans-contextual model (TCM) to understand the motivational processes underpinning workers’ injury prevention and rehabilitation intentions and behavior. Full-time police officers (N = 207; M age = 37.24, SD = 9.93) completed questionnaire measures of the TCM variables. Covariance-based SEM for the full sample revealed that the effect of autonomy support from supervisor on autonomous motivation for injury prevention (M-injury) was fully mediated by autonomous work motivation (M-work), and the effect of M-injury on intention was fully mediated by attitude and subjective norm. Variance-based SEM for the 87 participants who had recent occupational injury showed that the effect of autonomy support from supervisor on autonomous treatment motivation (M-treatment) was partially mediated by M-work, and the effect of perceived autonomy support from physician on treatment adherence was fully mediated by M-treatment. There was no effect of treatment adherence on recovery length. Findings support the motivational sequence of the TCM in an occupational context.
KeywordsSelf-determination theory Theory of planned behavior Occupational injury Autonomy support Treatment motivation Intention
This research was supported by an International Research Scholarship awarded to Derwin K.-C. Chan from the University of Nottingham.
- Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), From intentions to actions: A theory of planned behavior (pp. 11–39). Berlin: Springer.Google Scholar
- Ajzen, I. (2002). Constructing a TPB questionnaire: Conceptual and methodological considerations. Retrieved 15 June, 2010, from University of Massachusetts Web site, http://people.umass.edu/aizen/tpb.html. (January, 2006).
- Barclay, D., Thompson, R., & Higgins, C. (1995). The Partial Least Squares (PLS) approach to causal modeling: Personal computer adoption and use an illustration. Technology Studies, 2(2), 285–309.Google Scholar
- Bartholomew, K. J., Ntoumanis, N., & Thogersen-Ntoumani, C. (2010). The Controlling interpersonal style in a coaching context: Development and initial validation of a psychometric scale. Journal of Sport & Exercise Psychology, 32(2), 193–216.Google Scholar
- Bentler, P. M. (2004). EQS structural equations modeling software [Computer software] (Version 6.1). Encino, CA: Multivariate Software.Google Scholar
- Blais, M. R., Briere, N. M., Lachance, L., Riddle, A. S., & Vallerand, R. (1993). L’inventoire des motivations au travail de Blais [The Blais Inventory of Work Motivation]. Revue Quibicoise de Psychologie, 14, 185–215.Google Scholar
- Boomsma, A., & Hoogland, J. J. (2001). The robustness of LISREL modeling revisited. In R. Cudeck, S. du Toit, & D. Sörbom (Eds.), Structural equation modeling: Present and future (pp. 139–168). Chicago, IL: Scientific Software International.Google Scholar
- British Medical Association. (2001). Injury prevention. British Medical Association Print and Design Unit.Google Scholar
- Chan, D. K., Lonsdale, C., Ho, P. Y., Yung, P. S. H., & Chan, K. M. (2008). Rehabilitation from anterior cruciate ligament reconstruction: The influences of pre-injury sport motivation and autonomy support from medical professionals. Paper presented at the British Psychological Society Division of Sport & Exercise Psychology Inaugural Conference 2008, London.Google Scholar
- Chan, D. K., Lonsdale, C., Ho, P. Y., Yung, P. S. H., & Chan, K. M. (2009). Patient motivation and adherence to post-surgery rehabilitation exercise recommendations: The influence of physiotherapists’ autonomy supportive behaviors. Archives of Physical Medicine and Rehabilitation, 90, 1977–1982.PubMedCrossRefGoogle Scholar
- Chatzisarantis, N. L. D., & Hagger, M. S. (2005). Effects of a brief intervention based on the theory of planned behavior on leisure-time physical activity participation. Journal of Sport & Exercise Psychology, 27(4), 470–487.Google Scholar
- Chin, W. W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), 7–16.Google Scholar
- Conner, M., & Norman, P. (2005). Predicting health behaviour: Research and practice with social cognition models. Buckingham, UK: Open University Press.Google Scholar
- D’Angelo, M. S., Reid, R. D., & Pelletier, L. G. (2007). A model for exercise behavior change regulation in patients with heart disease. Journal of Sport & Exercise Psychology, 29(2), 208–224.Google Scholar
- Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum.Google Scholar
- Hagger, M. S., & Chatzisarantis, N. L. D. (2009). Integrating the theory of planned behaviour and self-determination theory in health behaviour: A meta-analysis. British Journal of Health Psychology, 14, 2750302.Google Scholar
- Hagger, M. S., Chatzisarantis, N. L. D., Barkoukis, V., Wang, C. K. J., & Baranowski, J. (2005). Perceived autonomy support in physical education and leisure-time physical activity: A cross-cultural evaluation of the trans-contextual model. Journal of Educational Psychology, 97(3), 376–390.CrossRefGoogle Scholar
- Hagger, M. S., Chatzisarantis, N. L. D., Culverhouse, T., & Biddle, S. J. H. (2003). The processes by which perceived autonomy support in physical education promotes leisure-time physical activity intentions and behavior: A trans-contextual model. Journal of Educational Psychology, 95(4), 784–795.CrossRefGoogle Scholar
- Hagger, M. S., Chatzisarantis, N. L. D., Hein, V., Pihu, M., Soos, I., & Karsai, I. (2007). The perceived autonomy support scale for exercise settings (PASSES): Development, validity, and cross-cultural invariance in young people. Psychology of Sport and Exercise, 8(5), 632–653.CrossRefGoogle Scholar
- Hagger, M. S., Chatzisarantis, N. L. D., Hein, V., Soos, I., Karsai, I., Lintunen, T., et al. (2009a). Teacher, peer and parent autonomy support in physical education and leisure-time physical activity: A trans-contextual model of motivation in four nations. Psychology & Health, 24(6), 689–711.CrossRefGoogle Scholar
- Hambleton, R. K. (2005). Issues, designs, and technical guidelines for adapting tests into multiple languages and cultures. In R. K. Hambleton, P. Merenda, & C. Spielberger (Eds.), Adapting educational and psychological tests for cross-cultural assessment (pp. 3–38). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
- Health & Safety Executive. (2010). Health and safety statistics 2008/2009. Retrieved from http://www.hse.gov.uk/statistics/overall/hssh0809.pdf.
- Komiak, S. Y. X., & Benbasat, I. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quarterly, 30(4), 941–960.Google Scholar
- Lonsdale, C., Hodge, K., & Rose, E. A. (2008). The Behavioral Regulation in Sport Questionnaire (BRSQ): Instrument development and initial validity evidence. Journal of Sport & Exercise Psychology, 30(3), 323–355.Google Scholar
- Milne, H. M., Wallman, K. E., Guilfoyle, A., Gordon, S., & Courneya, K. S. (2008). Self-determination theory and physical activity among breast cancer survivors. Journal of Sport & Exercise Psychology, 30(1), 23–38.Google Scholar
- Orbell, S. (2007). Motivational models and volitional processes in the promotion of health behaviors. In D. C. Park & L. L. Liu (Eds.), Medical adherence and aging. Washington, DC: American Psychological Association.Google Scholar
- Pelletier, L. G., Tuson, K. M., Fortier, M. S., Vallerand, R. J., Briere, N. M., & Blais, M. R. (1995). Toward a new measure of intrinsic motivation, extrinsic motivation, and amotivation in sports - the Sport Motivation Scale (SMS). Journal of Sport & Exercise Psychology, 17(1), 35–53.Google Scholar
- PRC Standing Committee of the National People’s Congress. (2002). Production Safety Law of the People’s Republic of China.Google Scholar
- Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0 (M3) Beta. Hamburg: http://www.smartpls.de.
- Ringle, C. M., Wilson, B., & Götz, O. (2007). A Monte Carlo robustness study on formative measurement model specification in CBSEM and PLS. In H. Martens, T. Næs & M. Martens (Eds.), PLS’07 international symposium on PLS and related methods—Causalities explored by indirect observation Norway: Matforsk, Ås.Google Scholar
- Satorra, A., & Bentler, P. M. (1988). Scaling corrections for Chi-square statistics in covariance structure analysis. ASA Proceedings of the Business and Economic Section, 308–313.Google Scholar
- Vallerand, R. J. (1997). Towards a hierarchical model of intrinsic and extrinsic motivation. In M. P. Zanna (Ed.), Advances in experimental social psychology (pp. 271–359). New York: Academic Press.Google Scholar