Exercise habit formation in new gym members: a longitudinal study
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Reasoned action approaches have primarily been applied to understand exercise behaviour for the past three decades, yet emerging findings in unconscious and Dual Process research show that behavior may also be predicted by automatic processes such as habit. The purpose of this study was to: (1) investigate the behavioral requirements for exercise habit formation, (2) how Dual Process approach predicts behaviour, and (3) what predicts habit by testing a model (Lally and Gardner in Health Psychol Rev 7:S137–S158, 2013). Participants (n = 111) were new gym members who completed surveys across 12 weeks. It was found that exercising for at least four bouts per week for 6 weeks was the minimum requirement to establish an exercise habit. Dual Process analysis using Linear Mixed Models (LMM) revealed habit and intention to be parallel predictors of exercise behavior in the trajectory analysis. Finally, the habit antecedent model in LLM showed that consistency (β = .21), low behavioral complexity (β = .19), environment (β = .17) and affective judgments (β = .13) all significantly (p < .05) predicted changes in habit formation over time. Trainers should keep exercises fun and simple for new clients and focus on consistency which could lead to habit formation in nearly 6 weeks.
KeywordsHabit Dual Process Exercise MVPA Longitudinal
We would like to thank two anonymous reviewers for providing valuable and insightful suggestions to improve this paper. We would also like to thank Alison Quinlan for her feedback on the manuscript.
Conflict of Interest
Navin Kaushal and Ryan E. Rhodes declare that they have no conflicts of interest in the research.
Human and Animal Rights and Informed Consent
The present study was approved by the Human Research Ethics Board at the University of Victoria. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000 (5). Informed consent was obtained from all participants for being included in the study.
- Almeida, F. A., Smith-Ray, R. L., van den Berg, R., Schriener, P., Gonzales, M., Onda, P., & Estabrooks, P. A. (2005). Utilizing a simple stimulus control strategy to increase physician referrals for physical activity promotion. Journal of Sport & Exercise Psychology, 27, 505.Google Scholar
- Bargh, J. A. (1994). The four horsemen of automaticity: Awareness, Intention, Efficiency, and Control in Social Cognition. In R. S. Wyei Jr & T. K. Srull (Eds.), Handbook of social cognition (2nd ed., Vol. 1, pp. 1–40). Hillsdale, NJ: Erlbaum.Google Scholar
- Canadian Society of Exercise Physiology (CSEP). (2012). Canadian physical activity guidelines and Canadian sedentary behaviour guidelines. http://www.csep.ca/english/view.asp?x=804.
- Field, A. P. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage publications.Google Scholar
- Garber, C. E., Blissmer, B., Deschenes, M. R., Franklin, B. A., Lamonte, M. J., Lee, I. M., & Swain, D. P. (2011). Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: Guidance for prescribing exercise. Medicine and Science in Sports and Exercise, 43, 1334–1359.PubMedCrossRefGoogle Scholar
- Gardner, B. (2012). Habit as automaticity, not frequency. European Health Psychologist, 14, 32–36.Google Scholar
- Gardner, B., Abraham, C., Lally, P., & de Bruijn, G. J. (2012). Towards parsimony in habit measurement: Testing the convergent and predictive validity of an automaticity subscale of the Self-Report Habit Index. International Journal of Behavioral Nutrition and Physical Activity, 9, 102. PubMedCentralPubMedCrossRefGoogle Scholar
- Godin, G., Jobin, J., & Bouillon, J. (1986a). Assessment of leisure time exercise behavior by self-report: A concurrent validity study. Evaluation De L’Exercise Physique Pendant Les Loisirs, D’Apres Les Indications Fournies Par Les Interesses: une Eude De Concordance, 77, 359–362.Google Scholar
- Grove, & Zillich. (2003). Conceptualisation and measurement of habitual exercise. In Proceedings of the 38th Annual Conference of the Australian Psychological Society (pp. 88–92). Melbourne: Australian Psychological Society.Google Scholar
- IBM. (2011). IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.Google Scholar
- Kaushal, N., & Rhodes, R. E. (2014). Exploring personality and physical environment as predictors of exercise action control. In Psychology of Extraversion Perspectives in Psychology Research (pp. 91–105). New. York, NY: Nova Science Publishers.Google Scholar
- Lox, C. L., & Rudolph, D. L. (1994). The Subjective Exercise Experiences Scale (SEES): Factorial validity and effects of acute exercise. Journal of Social Behavior & Personality, 9, 837–844.Google Scholar
- Maddux, J. E. (1997). Habit, health, and happiness. Journal of Sport and Exercise Psychology, 19, 331–346.Google Scholar
- McAuley, E., & Courneya, K. S. (1994). The subjective exercise experiences scale (SEES): Development and preliminary evaluation. Journal of Sport & Exercise Psychology, 16, 163–177.Google Scholar
- NIH. (2011). National Heart, Lung and Blood Institute from https://www.nhlbi.nih.gov/guidelines/obesity/bmi_tbl.pdf. Retrieved July 24, 2014.
- Rhodes, R. E., Courneya, K. S., Blanchard, C. M., & Plotnikoff, R. C. (2007). Prediction of leisure-time walking: An integration of social cognitive, perceived environmental, and personality factors. International Journal of Behavioral Nutrition and Physical Activity, 4, 51. doi: 10.1186/1479-5868-4-51.PubMedCentralPubMedCrossRefGoogle Scholar
- Rhodes, R. E., Matheson, D. H., & Blanchard, C. M. (2006b). Beyond scale correspondence: A comparison of continuous open scaling and fixed graded scaling when using social cognitive constructs in the exercise domain. Measurement in Physical Education and Exercise Science, 10, 13–39.CrossRefGoogle Scholar
- Rogers, W. (1974). Cognitive and physiological processes in fear appeals and attitude change: A revised theory of protection motivation. In J. T. Cacioppo & R. E. Petty (Eds.), Social psychophysiology (pp. 153–176). New York: Guilford Press.Google Scholar
- Rosenstock, I. (1974). The health belief model and preventive health behavior. Health Education Monographs, 2, 354–386.Google Scholar
- Skinner, B. F. (1954). Science and human behavior. New York: MacMillian.Google Scholar
- Triandis, H. C. (1977). Interpersonal behavior. Monterey, CA: Brooks/Cole.Google Scholar
- West, R. (2006). Theory of addiction. Oxford: Blackwell.Google Scholar
- WHO. (2015). Physical Activity from http://www.who.int/dietphysicalactivity/pa/en/. Retrieved March 10, 2015.
- Wiedemann, A. U., Gardner, B., Knoll, N., & Burkert, S. (2014). Intrinsic rewards, fruit and vegetable consumption, and habit strength: A three-wave study testing the associative-cybernetic model. Applied Psychology: Health and Well-Being, 6, 119–134.Google Scholar