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Do implicit attitudes toward physical activity and sedentary behavior prospectively predict objective physical activity among persons with obesity?

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Abstract

This study conducted among adults with obesity examined the associations between implicit attitudes toward physical activity and sedentary behavior, and physical activity behavior measured 4 months later. At baseline, 76 participants (M AGE = 56; M BMI = 39.1) completed a questionnaire assessing intentions toward physical activity and sedentary behavior and two computerized Single-Category Implicit Association Tests assessing implicit attitudes toward these two behaviors. At follow-up, physical activity was measured with accelerometers. Multiple regression analysis showed that implicit attitudes toward physical activity were positively and significantly associated with physical activity when participants’ age, BMI, past physical activity and intentions were controlled for. Implicit attitudes toward sedentary behavior were not associated with physical activity. Adults with obesity who implicitly reported more favorable attitudes toward physical activity at baseline were more likely to present higher physical activity levels at follow-up. Implicit attitudes could be targeted in future research to enhance physical activity.

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Notes

  1. Additional regression models are provided in supplemental data. In accordance with dual-process assumptions (Perugini, 2005), we examined potential interactions between explicit and implicit motivational processes. No interaction was significant. We also examined the associations between the four motivational variables and Time 2 physical activity without controlling for age, BMI and past physical activity. The model was significant F (4, 74) = 3.07, p = .022, adjusted R 2 = .10; implicit attitudes toward physical activity and sedentary behavior were significantly associated with Time 2 physical activity (β = .23, p = .05, β = −.26, p = .04, respectively), as well as intentions toward sedentary behavior (β = .24, p = .05). Intentions toward physical activity were not significantly associated with physical activity (β = −.03, p = .78).

References

  • Adams, S. A., Matthews, C. E., Ebbeling, C. B., Moore, C. G., Cunningham, J. E., Fulton, J., et al. (2005). The effect of social desirability and social approval on self-reports of physical activity. American Journal of Epidemiology, 161, 389–398.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.

    Article  Google Scholar 

  • Allison, P. D. (2000). Multiple imputation for missing data: A cautionary tale. Sociological Methods and Research, 28, 301–309.

    Article  Google Scholar 

  • Antoniewicz, F., & Brand, R. (2016). Learning to like exercising: Evaluative conditioning changes automatic evaluations of exercising and influences subsequent exercising behavior. Journal of Sport & Exercise Psychology, 38, 138–148.

    Article  Google Scholar 

  • Baruth, M., Sharpe, P. A., Hutto, B., Wilcox, S., & Warren, T. Y. (2013). Patterns of sedentary behavior in overweight and obese women. Ethnicity and Disease, 23, 336–342.

    PubMed  PubMed Central  Google Scholar 

  • Bauman, A. E., Reis, R. S., Sallis, J. F., Wells, J. C., Loos, R. J., & Martin, B. W. (2012). Correlates of physical activity: Why are some people physically active and others not? The Lancet, 380, 258–271.

    Article  Google Scholar 

  • Berry, T. R. (2016). Changes in implicit and explicit exercise-related attitudes after reading targeted exercise-related information. Psychology of Sport and Exercise, 22, 273–278.

    Article  Google Scholar 

  • Blanton, H., Burrows, C. N., & Jaccard, J. (2016). To accurately estimate implicit influences on health behavior, accurately estimate explicit influences. Health Psychology, 35, 856–860.

    Article  PubMed  Google Scholar 

  • Bluemke, M., Brand, R., Schweizer, G., & Kahlert, D. (2010). Exercise might be good for me, but I don’t feel good about it: Do automatic associations predict exercise behavior? Journal of Sport & Exercise Psychology, 32, 137–153.

    Article  Google Scholar 

  • Calitri, R., Lowe, R., Eves, F. F., & Bennett, P. (2009). Associations between visual attention, implicit and explicit attitude and behavior for physical activity. Psychology & Health, 24, 1105–1123.

    Article  Google Scholar 

  • Cheval, B., Sarrazin, P., Isoard-Gautheur, S., Radel, R., & Friese, M. (2015). Reflective and impulsive processes explain (in)effectiveness of messages promoting physical activity: A randomized controlled trial. Health Psychology, 34, 10–19.

    Article  PubMed  Google Scholar 

  • Cheval, B., Sarrazin, P., Isoard-Gautheur, S., Radel, R., & Friese, M. (2016). How impulsivity shapes the interplay of impulsive and reflective processes involved in objective physical activity. Personality and Individual Differences, 96, 132–137.

    Article  Google Scholar 

  • Chevance, G., Caudroit, J., Romain, A., & Boiché, J. (2016). The adoption of physical activity and eating behaviors among persons with obesity and in the general population: The role of implicit attitudes within the theory of planned behavior. Psychology, Health & Medicine, 22, 319–324.

    Article  Google Scholar 

  • Chevance, G., Héraud, N., Varray, A., & Boiché, J. (2017). Change in explicit and implicit motivation toward physical activity and sedentary behavior in pulmonary rehabilitation and associations with post-rehabilitation. Rehabilitation Psychology, 62, 119–129.

    Article  PubMed  Google Scholar 

  • Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Lawrence Earlbaum Associates.

    Google Scholar 

  • Conroy, D. E., Hyde, A. L., Doerksen, S. E., & Ribeiro, N. F. (2010). Implicit attitudes and explicit motivation prospectively predict physical activity. Annals of Behavioral Medicine, 39, 112–118.

    Article  PubMed  Google Scholar 

  • Downs, D., & Hausenblas, H. (2005). Elicitation studies and the theory of planned behavior: A systematic review of exercise beliefs. Psychology of Sport and Exercise, 6, 1–31.

    Article  Google Scholar 

  • Ellis, K., Kerr, J., Godbole, S., Staudenmayer, J., & Lanckriet, G. (2016). Hip and wrist accelerometer algorithms for free-living behavior classification. Medicine and Science in Sports and Exercise, 48, 933–940.

    Article  PubMed  PubMed Central  Google Scholar 

  • Endrighi, R., Basen-Engquist, K., Szeto, E., Perkins, H., Baum, G., Cox-Martin, M., et al. (2016). Self-reported and automatic cognitions are associated with exercise behavior in cancer survivors. Health Psychology, 35, 824–828.

    Article  PubMed  PubMed Central  Google Scholar 

  • Eves, F. F., Scott, E. J., Hoppé, R., & French, D. P. (2007). Using the affective priming paradigm to explore the attitudes underlying walking behaviour. British Journal of Health Psychology, 12, 571–585.

    Article  PubMed  Google Scholar 

  • Ferguson, C. J. (2008). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40, 532–538.

    Article  Google Scholar 

  • Finkelstein, E., Khavjou, O., Thompson, H., Trogdon, J., Pan, L., Sherry, B., et al. (2012). Obesity and severe obesity forecasts through 2030. American Journal of Preventive Medicine, 42, 563–570.

    Article  PubMed  Google Scholar 

  • Finucane, M., Stevens, G., Cowan, M., Danaei, G., Lin, J., Paciorek, C., et al. (2011). National, regional, and global trends in body-mass index since 1980: Systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants. The Lancet, 377, 557–567.

    Article  Google Scholar 

  • Friese, M., Hofmann, W., & Schmitt, M. (2008). When and why do implicit measures predict behavior? Empirical evidence for the moderating role of opportunity, motivation, and process reliance. European Review of Social Psychology, 19, 285–338.

    Article  Google Scholar 

  • Gourlan, M., Trouilloud, D., & Sarrazin, P. (2011). Interventions promoting physical activity among obese populations: A meta-analysis considering global effect, long-term maintenance, physical activity indicators and dose characteristics. Obesity Reviews, 12, 633–645.

    Article  Google Scholar 

  • Greenwald, A. G., & Banaji, M. R. (1995). Implicit social cognition: Attitudes, self-esteem, and stereotypes. Psychological Review, 102, 4–27. doi:10.1037//0033-295x.102.1.4

    Article  CAS  PubMed  Google Scholar 

  • Greenwald, A. G., Poehlman, T. A., Uhlmann, E., & Banaji, M. R. (2009). Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. Journal of Personality and Social Psychology, 97, 17–41.

    Article  PubMed  Google Scholar 

  • Hagger, M., Chatzisarantis, N., & Biddle, S. (2002). The influence of autonomous and controlling motives on physical activity intentions within the Theory of Planned Behaviour. British Journal of Health Psychology, 7, 283–297.

    Article  PubMed  Google Scholar 

  • Hall, P., & Fong, G. (2007). Temporal self-regulation theory: A model for individual health behavior. Health Psychology Review, 1, 6–52.

    Article  Google Scholar 

  • Hall, P., Fong, G. T., Epp, L. J., & Elias, L. J. (2008). Executive function moderates the intention-behavior link for physical activity and dietary behavior. Psychology & Health, 23, 309–326.

    Article  Google Scholar 

  • Hofmann, W., Friese, M., & Wiers, R. (2008). Impulsive versus reflective influences on health behavior: A theoretical framework and empirical review. Health Psychology Review, 2, 111–137.

    Article  Google Scholar 

  • Hollands, G. J., Marteau, T. M., & Fletcher, P. C. (2016). Nonconscious processes in changing health-related behaviour: A conceptual analysis and framework. Health Psychology Review, 10, 1–28.

    Article  Google Scholar 

  • Hyde, A. L., Elavsky, S., Doerksen, S. E., & Conroy, D. E. (2012). The stability of automatic evaluations of physical activity and their relations with physical activity. Journal of Sport & Exercise Psychology, 34, 715–736. doi:10.1123/jsep.34.6.715

    Article  Google Scholar 

  • JASP Team. (2016). JASP [Computer software]. Retrieved from, https://jasp-stats.org/download/

  • Jensen, M., Ryan, D., Apovian, C., Ard, J., Comuzzie, A., Donato, K., et al. (2013). Guideline for the management of overweight and obesity in adults. Circulation, 129, 102–138.

    Article  Google Scholar 

  • Karpinski, A., & Steinman, R. B. (2006). The single category implicit association test as a measure of implicit social cognition. Journal of Personality and Social Psychology, 91, 16–32.

    Article  PubMed  Google Scholar 

  • Maher, J. P., & Conroy, D. E. (2016). A dual-process model of older adults’ sedentary behavior. Health Psychology, 35, 262–272.

    Article  PubMed  Google Scholar 

  • Markland, D., Hall, C. R., Duncan, L. R., & Simatovic, J. (2015). The effects of an imagery intervention on implicit and explicit exercise attitudes. Psychology of Sport and Exercise, 17, 24–31.

    Article  Google Scholar 

  • McEachan, R., Taylor, N., Harrison, R., Lawton, R., Gardner, P., & Conner, M. (2016). Meta-analysis of the reasoned action approach (RAA) to understanding health behaviors. Annals of Behavioral Medicine, 50, 592–612.

    Article  PubMed  PubMed Central  Google Scholar 

  • Miller, A. A., & Spencer, S. J. (2014). Obesity and neuroinflammation: A pathway to cognitive impairment. Brain, Behavior, and Immunity, 42, 10–21.

    Article  CAS  PubMed  Google Scholar 

  • Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., et al. (2005). The montreal cognitive assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53, 695–699.

    Article  PubMed  Google Scholar 

  • Papies, E. K. (2016). Health goal priming as a situated intervention tool: How to benefit from nonconscious motivational routes to health behaviour. Health Psychology Review, 10, 408–424.

    Article  PubMed  PubMed Central  Google Scholar 

  • Perugini, M. (2005). Predictive models of implicit and explicit attitudes. British Journal of Social Psychology, 44, 29–45.

    Article  PubMed  Google Scholar 

  • R Core Team (2013). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org/

  • Rebar, A., Dimmock, J., Jackson, B., Rhodes, R., Kates, A., Starling, J., et al. (2016). A systematic review of the effects of non-conscious regulatory processes in physical activity. Health Psychology Review, 10, 395–407.

    Article  PubMed  Google Scholar 

  • Rebar, A. L., Ram, N., & Conroy, D. E. (2015). Using the EZ-diffusion model to score a single-category implicit association test of physical activity. Psychology of Sport and Exercise, 16, 96–105.

    Article  PubMed  Google Scholar 

  • Rhodes, R. E. (2017). The evolving understanding of physical activity behavior: A multi-process action control approach. Advances in Motivation Science, 4, 171–205. doi:10.1016/bs.adms.2016.11.001

    Article  Google Scholar 

  • Rhodes, R. E., & Blanchard, C. M. (2008). Do sedentary motives adversely affect physical activity? Adding cross-behavioural cognitions to the theory of planned behaviour. Psychology & Health, 23, 789–805.

    Article  Google Scholar 

  • Rhodes, R. E., & Dickau, L. (2012). Experimental evidence for the intention–behavior relationship in the physical activity domain: A meta-analysis. Health Psychology, 31, 724–727.

    Article  PubMed  Google Scholar 

  • Rhodes, R. E., & Horne, L. (2013). Deepening the measurement of motivation in the physical activity domain: Introducing behavioural resolve. Psychology of Sport and Exercise, 14, 455–460.

    Article  Google Scholar 

  • Rhodes, R. E., Janssen, I., Bredin, S. S. D., Warburton, D. E. R., & Bauman, A. (2017). Physical activity: Health impact, prevalence, correlates and interventions. Psychology & Health. doi:10.1080/08870446.2017.1325486

    Google Scholar 

  • Rhodes, R. E., & Yao, C. (2015). Models accounting for intention-behavior discordance in the physical activity domain: A user’s guide, content overview, and review of current evidence. International Journal of Behavioral Nutrition and Physical Activity, 12, 9.

    Article  PubMed  PubMed Central  Google Scholar 

  • Richetin, J., Costantini, G., Perugini, M., & Schönbrodt, F. (2015). Should we stop looking for a better scoring algorithm for handling implicit association test data? Test of the role of errors, extreme latencies treatment, scoring formula, and practice trials on reliability and validity. PLoS ONE, 10, 0129601.

    Article  Google Scholar 

  • Rollo, S., Gaston, A., & Prapavessis, H. (2016). Cognitive and motivational factors associated with sedentary behavior: A systematic review. AIMS Public Health, 3, 956–984.

    Article  Google Scholar 

  • Sabia, S., Cogranne, P., van Hees, V. T., Bell, J. A., Elbaz, A., Kivimaki, M., et al. (2015). Physical activity and adiposity markers at older ages: Accelerometer vs questionnaire data. Journal of the American Medical Directors Association, 16, 7–13.

    Article  Google Scholar 

  • Sedentary Behaviour Research Networ. (2012). Letter to the editor: Standardized use of the terms “sedentary” and “sedentary behaviours”. Applied Physiology, Nutrition and Metabolism, 37, 540–542.

    Article  Google Scholar 

  • Sheeran, P., Bosch, J., Crombez, G., Hall, P., Harris, J., Papies, E., et al. (2016). Implicit processes in health psychology: Diversity and promise. Health Psychology, 35, 761–766.

    Article  PubMed  Google Scholar 

  • Sheeran, P., Gollwitzer, P., & Bargh, J. (2013). Nonconscious processes and health. Health Psychology, 32, 460–473.

    Article  PubMed  Google Scholar 

  • Soper, D. S. (2017). Effect size calculator for multiple regression [software]. Available from, http://www.danielsoper.com/statcalc

  • Sutin, A. R., Costa, P. T., Chan, W., Milaneschi, Y., Eaton, W. W., Zonderman, A. B., et al. (2013). I know not to, but i can’t help it: Weight gain and changes in impulsivity-related personality traits. Psychological Science, 24, 1323–1328.

    Article  PubMed  PubMed Central  Google Scholar 

  • Sutin, A. R., Ferrucci, L., Zonderman, A. B., & Terracciano, A. (2011). Personality and obesity across the adult life span. Journal of Personality and Social Psychology, 101, 579–592.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tabachnick, B. G., & Fidell, S. L. (2007). Using multivariate statistics (5th ed.). Boston: Allyn and Bacon.

    Google Scholar 

  • Teixeira, P., Carraça, E., Marques, M., Rutter, H., Oppert, J., De Bourdeaudhuij, I., et al. (2015). Successful behavior change in obesity interventions in adults: A systematic review of self-regulation mediators. BMC Medicine, 13, 13–84.

    Article  Google Scholar 

  • Trost, S. G., Owen, N., Bauman, A. E., Salles, J. F., & Brown, W. (2002). Correlates of adults’ participation in physical activity: Review and update. Medicine and Science in Sports and Exercise, 34, 1996–2001. doi:10.1097/00005768-200212000-00020

    Article  PubMed  Google Scholar 

  • van Hees, V. T., Fang, Z., Langford, J., Assah, F., Mohammad, A., Da Silva, I. C., et al. (2014). Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: An evaluation on four continents. Journal of Applied Physiology, 117, 738–744.

    Article  PubMed  PubMed Central  Google Scholar 

  • van Hees, V. T., Gorzelniak, L., León, E. C., Eder, M., Pias, M., Taherian, S., et al. (2013). Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity. PLoS ONE. doi:10.1371/journal.pone.0061691

    PubMed  PubMed Central  Google Scholar 

  • Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 67, 361–370.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

Guillaume Chevance is funded by a grant from the French Agency for Research and Technology (ANRT). This study has received financial support from the fundation APARD and the region Occitanie. The authors wish to thank Marie-Ange Dubois for her help in the follow-up phase, as well as La Poste for their support all along the study.

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Correspondence to Guillaume Chevance.

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Guillaume Chevance, Johan Caudroit, Thomas Henry, Philippe Guerin, Julie Boiché and Nelly Héraud declare that they have no conflicts of interest in the present research.

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This study was approved by the ethical committee: 5 Santé. All procedures were in accordance with the Helsinki Declaration of 1975, as revised in 2000. Informed consent was obtained from all participants before being included in the study.

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Chevance, G., Caudroit, J., Henry, T. et al. Do implicit attitudes toward physical activity and sedentary behavior prospectively predict objective physical activity among persons with obesity?. J Behav Med 41, 31–42 (2018). https://doi.org/10.1007/s10865-017-9881-8

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