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Implicit Attitudes and Explicit Motivation Prospectively Predict Physical Activity

  • Original Article
  • Published:
Annals of Behavioral Medicine

Abstract

Background

Contemporary approaches to physical activity motivation and promotion focus on explicit motivational processes which regulate intentional physical activity. Less is known about the role of implicit processes, which may be instrumental in regulating habitual aspects of unintentional (i.e., incidental) physical activity (PA).

Purpose

To test the proposition that the routine nature of unintentional PA makes it amenable to control by implicit processes.

Methods

Participants (N = 201) completed measures of explicit motivation (i.e., efficacy beliefs, outcome expectations, behavioral intentions, perceived behavioral control) and implicit attitudes toward physical activity, and then wore a pedometer for 1 week.

Results

Implicit attitudes positively predicted PA after controlling for well-established predictors of intentional physical activity.

Conclusions

PA motivation involves both explicit and implicit processes, and PA promotion efforts may be enhanced by attending to relevant implicit motivation processes.

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References

  1. Colditz GA. Economic costs of obesity and inactivity. Med Sci Sports Exerc. 1999; 31: S663–S667.

    Article  CAS  PubMed  Google Scholar 

  2. Wang G, Pratt M, Macera CA, Zheng Z-J, Heath G. Physical activity, cardiovascular disease, and medical expenditures in U.S. adults. Ann Behav Med. 2004; 28: 88–94.

    Article  CAS  PubMed  Google Scholar 

  3. DCMS/Strategy Unit. Game plan: A strategy for delivering government's sport and physical activity objectives. London: Cabinet Office; 2002.

    Google Scholar 

  4. Centers for Disease Control and Prevention: Prevalence of regular physical activity among adults—United States, 2001 and 2005. MMWR Morbidity Mortality Weekly Report. 2007, Nov 23, 56:1209–1212.

  5. Eaton DK, Kann L, Kinchen S, et al. Youth risk behavior surveillance – United States, 2007. Morb Mortal Wkly Rep, CDC Surveill Summ. 2007; 57: 1–131.

    Google Scholar 

  6. Levine JA, Eberhardt NL, Jensen MD. Role of nonexercise activity thermogenesis in resistance to fat gain in humans. Science. 1999; 283: 212–214.

    Article  CAS  PubMed  Google Scholar 

  7. Ravussin E, Lillloja S, Anderson TE, Christin L, Bogardus C. Determinants of 24-hour energy expenditure in man: Methods and results using a respiratory chamber. J Clin Invest. 1986; 78: 1568–1578.

    Article  CAS  PubMed  Google Scholar 

  8. Levine JA, Lanningham-Foster LM, McCrady SK, et al. Interindividual variation in posture allocation: Possible role in human obesity. Science. 2005; 307: 584–586.

    Article  CAS  PubMed  Google Scholar 

  9. Tudor-Locke C, van der Ploeg HP, Bowles HR, et al. Walking behaviours from the 1965-2003 American Heritage Time Use Study (AHTUS). Int J Beh Nutr Phys Act. 2007; 4: 45.

    Article  Google Scholar 

  10. Gailliot MT, Baumeister RG, DeWall CN, et al. Self-control relies on glucose as a limited energy source: Willpower is more than a metaphor. J Pers Soc Psychol. 2007; 92: 325–336.

    Article  PubMed  Google Scholar 

  11. Aarts H, Paulussen T, Schaalma H. Physical exercise habit: On the conceptualization and formation of habitual health behaviors. Health Educ Res. 1997; 12: 363–374.

    Article  CAS  PubMed  Google Scholar 

  12. Oulette JA, Wood W. Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. Psychol Bull. 1998; 124: 54–74.

    Article  Google Scholar 

  13. Triandis HC. Values, attitudes, and interpersonal behavior. In: Howe HE, Page MM, eds. Nebraska Symposium on Motivation. Lincoln, NE: University of Nebraska Press; 1980.

    Google Scholar 

  14. Verplanken B, Melkevik O. Predicting habit: The case of physical exercise. Psychol Sport Exerc. 2008; 9: 15–26.

    Article  Google Scholar 

  15. Verplanken B, Orbell S. Reflections on past behavior: A self-report index of habit strength. J Appl Soc Psychol. 2003; 33: 1313–1330.

    Article  Google Scholar 

  16. Chatzisarantis NLD, Hagger MS. Mindfulness and the intention-behavior relationship within the theory of planned behavior. Pers Soc Psychol Bull. 2007; 33: 663–676.

    Article  PubMed  Google Scholar 

  17. de Bruijn GJ, Kremers SPJ, Singh A, van den Putte B, van Mechelen W. Adult active transportation: Adding habit strength to the theory of planned behavior. Am J Prev Med. 2009; 36: 189–194.

    Article  PubMed  Google Scholar 

  18. Gardner B. Modelling motivation and habit in stable travel mode contexts. Transport Res F Traf Psychol Beh. 2009; 12: 68–76.

    Article  Google Scholar 

  19. McClelland DC, Koestner R, Weinberger J. How do self-attributed and implicit motives differ? Psychol Rev. 1989; 96: 690–702.

    Article  Google Scholar 

  20. Schultheiss OC. Implicit motives. In: John OP, Robins RW, Pervin LA, eds. Handbook of personality: Theory and research. New York: Guilford Press; 2008: 603–633.

    Google Scholar 

  21. Bargh JA, Chartrand TL. The unbearable automaticity of being. Am Psychol. 1999; 54: 462–479.

    Article  Google Scholar 

  22. Ronis DL, Yates JF, Kirscht JP. Attitudes, decisions, and habits as determinants of repeated behavior. In: Pratkanis AR, Breckler SJ, Greenwald AG, eds. Attitude structure and function. Hillsdale, NJ: Lawrence Erlbaum Associates; 1989: 213–239.

    Google Scholar 

  23. Maddux JE. Habit, health, and happiness. J Sport Exerc Psychol. 1997; 19: 331–346.

    Google Scholar 

  24. Ferguson MJ. On the automatic evaluation of end-states. J Pers Soc Psychol. 2007; 92: 596–611.

    Article  PubMed  Google Scholar 

  25. Greenwald AG, Poehlman TA, Uhlmann E, Banaji MR. Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. J Pers Soc Psychol. 2009; 97: 17–41.

    Article  PubMed  Google Scholar 

  26. Berry T. Who's even interested in the exercise message? Attentional bias for exercise and sedentary-lifestyle related words. J Sport Exerc Psychol. 2006; 28: 4–17.

    Google Scholar 

  27. Eves FF, Scott EJ, Hoppé R, French DO. Using the affective priming paradigm to explore the attitudes underlying walking behaviour. Br J Health Psychol. 2007; 12: 571–585.

    Article  PubMed  Google Scholar 

  28. Calitri R, Lowe R, Eves FF, Bennett P. Associations between visual attention, implicit and explicit attitude and behaviour for physical activity. Psychol Health. 2009; 24: 1105–1123.

    Article  PubMed  Google Scholar 

  29. Greenwald AG, McGhee DE, Schwartz JLK. Measuring individual differences in implicit cognition: The implicit association test. J Pers Soc Psychol. 1998; 74: 1464–1480.

    Article  CAS  PubMed  Google Scholar 

  30. Nosek BA, Greenwald AG, Banaji MR. The implicit association test at age 7: A methodological and conceptual review. In: Bargh JA, ed. Automatic processes in social thinking and behavior. New York: Psychology Press; 2007: 265–292.

    Google Scholar 

  31. Karpinski A, Steinman RB. The single category implicit association test as a measure of implicit social cognition. J Pers Soc Psychol. 2006; 91: 16–32.

    Article  PubMed  Google Scholar 

  32. Nosek BA. Moderators of the relationship between implicit and explicit evaluation. J Exp Psychol Gen. 2005; 134: 565–584.

    Article  PubMed  Google Scholar 

  33. McAuley E, Blissmer B. Self-efficacy determinants and consequences of physical activity. Exerc Sport Sci Rev. 2000; 28: 85–88.

    CAS  PubMed  Google Scholar 

  34. Hagger MS, Chatzisarantis NLD, Biddle SJH. A meta-analytic review of the theories of reasoned action and planned behavior in physical activity: Predictive validity and the contribution of additional variables. J Sport Exerc Psychol. 2002; 24: 3–32.

    Google Scholar 

  35. Bandura A. Health promotion by social cognitive means. Health Educ Behav. 2004; 31: 143–164.

    Article  PubMed  Google Scholar 

  36. Empirisoft Corp. New York, NY.

  37. McAuley E. Self-efficacy and the maintenance of exercise participation in older adults. J Behav Med. 1993; 16: 103–113.

    Article  CAS  PubMed  Google Scholar 

  38. McAuley E. The role of efficacy cognitions in the prediction of exercise behavior in middle-aged adults. J Behav Med. 1992; 15: 65–88.

    Article  CAS  PubMed  Google Scholar 

  39. Marquez DX, McAuley E. Social cognitive correlates of leisure time physical activity among Latinos. J Behav Med. 2006; 29: 281–289.

    Article  PubMed  Google Scholar 

  40. Steinhardt MA, Dishman RK. Reliability and validity of expected outcomes and barriers for habitual physical activity. J Occup Med. 1989; 31: 536–546.

    Article  CAS  PubMed  Google Scholar 

  41. Symons Downs D, Hausenblas HA. Exercising for two: Examining pregnant women's second trimester exercise intention and behavior using the framework of the theory of planned behavior. Womens Health Issues. 2003; 13: 222–228.

    Article  Google Scholar 

  42. Symons Downs D, Hausenblas HA. Exercising during pregnancy and postpartum: An elicitation study using the framework of the theory of planned behavior. J Midwifery Womens Health. 2004; 49: 138–144.

    Article  PubMed  Google Scholar 

  43. Bradley MM, Lang PJ. Affective norms for English words (ANEW): Instruction manual and affective ratings. Technical Report C-1. Gainesville, FL: The Center for Research in Psychopathology, University of Florida; 1999.

    Google Scholar 

  44. Greenwald AG, Nosek BA, Banaji MR. Understanding and using the implicit association test: I. An improved scoring algorithm. J Pers Soc Psychol. 2003; 85: 197–216.

    Article  PubMed  Google Scholar 

  45. Bellisari A. Evolutionary origins of obesity. Obes Rev. 2008; 9: 165–180.

    Article  CAS  PubMed  Google Scholar 

  46. Eaton SB, Eaton SB. An evolutionary perspective on human physical activity: Implications for health. Comp Biochem Physiol A Mol Integr Physiol. 2003; 136: 153–159.

    Article  PubMed  Google Scholar 

  47. Booth FW, Chakravarthy MV, Gordon SE, Spangenburg EE. Waging war on physical inactivity: Using modern molecular ammunition against an ancient enemy. J Appl Physiol. 2002; 93: 3–30.

    PubMed  Google Scholar 

  48. Evans JSBT. Dual-processing accounts of reasoning, judgment, and social cognition. Annu Rev Psychol. 2008; 59: 255–278.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. The Pennsylvania State University, University Park, PA, USA

    David E. Conroy Ph.D., Amanda L. Hyde B.S., Shawna E. Doerksen Ph.D. & Nuno F. Ribeiro M.S.

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  1. David E. Conroy Ph.D.
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  2. Amanda L. Hyde B.S.
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  3. Shawna E. Doerksen Ph.D.
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  4. Nuno F. Ribeiro M.S.
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Correspondence to David E. Conroy Ph.D..

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Conroy, D.E., Hyde, A.L., Doerksen, S.E. et al. Implicit Attitudes and Explicit Motivation Prospectively Predict Physical Activity. ann. behav. med. 39, 112–118 (2010). https://doi.org/10.1007/s12160-010-9161-0

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