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Systematic Review and Meta-Analyses

The association between implicit attitudes toward physical activity and physical activity behaviour: a systematic review and correlational meta-analysis

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 248-276 | Received 09 Nov 2018, Accepted 10 May 2019, Published online: 12 Jun 2019

References

  • Ainsworth, B. E., Haskell, W. L., Leon, A. S., Jacobs, D. R., Montoye, H. J., Sallis, J. F., & Paffenbarger, R. S. (1993). Compendium of physical activities: Classification of energy costs of human physical activities. Medicine & Science in Sports & Exercise, 25(1), 71–80. doi: 10.1249/00005768-199301000-00011
  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. doi: 10.1016/0749-5978(91)90020-T
  • Ajzen, I., & Fishbein, M. (1977). Attitude-Behavior Relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888–918.
  • American Psychological Association Publications and Communications Board Working Group on Journal Article Reporting Standards. (2008). Reporting standards for research in psychology: Why do we need them? What might they be? American Psychologist, 63(9), 839–851. doi: 10.1037/0003-066X.63.9.839
  • Antoniewicz, F., & Brand, R. (2014). Automatic evaluations and exercise setting preference in frequent exercisers. Journal of Sport & Exercise Psychology, 36, 631–636. doi: 10.1123/jsep.2014-0033
  • Antoniewicz, F., & Brand, R. (2016a). Dropping out or keeping up? Early-dropouts, late-dropouts, and maintainers differ in their automatic evaluations of exercise already before a 14-week exercise course. Frontiers in Psychology, 7. doi: 10.3389/fpsyg.2016.00838
  • Antoniewicz, F., & Brand, R. (2016b). Learning to like exercising: Evaluative conditioning changes automatic evaluations of exercising and influences subsequent exercising behavior. Journal of Sport & Exercise Psychology, 38, 138–148. doi: 10.1123/jsep.2015-0125
  • Assink, M., & Wibbelink, C. J. M. (2016). Fitting three-level meta-analytic models in R: A step-by-step tutorial. The Quantitative Methods for Psychology, 12, 154–174. doi: 10.20982/tqmp.12.3.p154
  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191–215. doi: 10.1037/0033-295X.84.2.191
  • Banting, L. K., Dimmock, J. A., & Lay, B. S. (2009). The role of implicit and explicit components of exerciser self-schema in the prediction of exercise behaviour. Psychology of Sport and Exercise, 10, 80–86.
  • Bar-Anan, Y., & Vianello, M. (2018). A multi-method multi-trait test of the dual-attitude perspective. Journal of Experimental Psychology: General, 147(8), 1264–1272.
  • Bargh, J. A. (1994). The four horsemen of automaticity: Awareness, intention, efficiency, and control in social cognition. In Handbook of social cognition: Basic processes; Applications, Vols. 1-2, 2nd ed. (pp. 1–40). Hillsdale, NJ: Lawrence Erlbaum Associates.
  • Baujat, B., Mahé, C., Pignon, J.-P., & Hill, C. (2002). A graphical method for exploring heterogeneity in meta-analyses: Application to a meta-analysis of 65 trials. Statistics in Medicine, 21, 2641–2652. doi: 10.1002/sim.1221
  • Berry, T. R. (2006). Who’s even interested in the exercise message? Attentional bias for exercise and sedentary-lifestyle related words. Journal of Sport and Exercise Psychology, 28, 4–17. doi: 10.1123/jsep.28.1.4
  • 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. doi: 10.1016/j.psychsport.2015.09.001
  • Berry, T. R., Spence, J. C., & Clark, M. E. (2011). Exercise is in! implicit exercise and sedentary-lifestyle bias held by In-Groups1. Journal of Applied Social Psychology, 41, 2985–2998. doi: 10.1111/j.1559-1816.2011.00857.x
  • Blair, S. N., Haskell, W. L., Ho, P., Paffenbarger, R. S., Vranizan, K. M., Farquhar, J. W., & Wood, P. D. (1985). Assessment of habitual physical activity by a seven-day recall in a community survey and controlled experiments. American Journal of Epidemiology, 122, 794–804.
  • 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. doi: 10.1037/hea0000348
  • 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.
  • Bluemke, M., & Friese, M. (2008). Reliability and validity of the single-target IAT (ST-IAT): assessing automatic affect towards multiple attitude objects. European Journal of Social Psychology, 38, 977–997. doi: 10.1002/ejsp.487
  • Booth, M. (2000). Assessment of physical activity: An international perspective. Research Quarterly for Exercise and Sport, 71, 114–120. doi: 10.1080/02701367.2000.11082794
  • Brand, R., & Antoniewicz, F. (2016). Affective evaluations of exercising: The role of automatic-reflective evaluation discrepancy. Journal of Sport & Exercise Psychology, 38, 631–638. doi: 10.1123/jsep.2016-0171
  • Brand, R., & Ekkekakis, P. (2018). Affective–reflective theory of physical inactivity and exercise. German Journal of Exercise and Sport Research, 48, 48–58. doi: 10.1007/s12662-017-0477-9
  • Brand, R., & Schweizer, G. (2015). Going to the gym or to the movies?: Situated decisions as a functional link connecting automatic and reflective evaluations of exercise with exercising behavior. Journal of Sport & Exercise Psychology, 37, 63–73. doi: 10.1123/jsep.2014-0018
  • Bull, F. C., Maslin, T. S., & Armstrong, T. (2009). Global physical activity questionnaire (GPAQ): nine country reliability and validity study. Journal of Physical Activity & Health, 6, 790–804.
  • Calitri, R., Lowe, R., Eves, F. F., & Bennett, P. (2009). Associations between visual attention, implicit and explicit attitude and behaviour for physical activity. Psychology & Health, 24, 1105–1123. doi: 10.1080/08870440802245306
  • Caspersen, C. J., Powell, K. E., & Christenson, G. M. (1985). Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Reports, 100, 126–131.
  • Chen, M., & Bargh, J. A. (1999). Consequences of automatic evaluation: Immediate behavioral predispositions to approach or avoid the stimulus. Personality and Social Psychology Bulletin, 25, 215–224. doi: 10.1177/0146167299025002007
  • Cheval, B., Radel, R., Neva, J. L., Boyd, L. A., Swinnen, S. P., Sander, D., & Boisgontier, M. P. (2018). Behavioral and neural evidence of the rewarding value of exercise behaviors: A systematic review. Sports Medicine, 48, 1389–1404. doi: 10.1007/s40279-018-0898-0
  • 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. doi: 10.1037/hea0000102
  • Cheval, B., Sarrazin, P., Pelletier, L., & Friese, M. (2016). Effect of retraining approach-avoidance tendencies on an exercise task: A randomized controlled trial. Journal of Physical Activity & Health, 13, 1396–1403. doi: 10.1123/jpah.2015-0597
  • Cheval, B., Sarrazin, P., & Radel, R. (2016). Processus automatiques et activités physiques bénéfiques pour la santé. L’Année Psychologique, 116(2), 295–347. doi: 10.4074/S0003503316000348
  • Chevance, G., Berry, T., Boiché, J., & Heraud, N. (2019). Changing implicit attitudes for physical activity with associative learning. German Journal of Exercise and Sport Research, 49, 156–167. doi: 10.1007/s12662-018-0559-3
  • Chevance, G., Caudroit, J., Henry, T., Guerin, P., Boiché, J., & Héraud, N. (2018). Do implicit attitudes toward physical activity and sedentary behavior prospectively predict objective physical activity among persons with obesity? Journal of Behavioral Medicine, 41, 31–42. doi: 10.1007/s10865-017-9881-8
  • Chevance, G., Caudroit, J., Romain, A. J., & Boiché, J. (2017). 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. doi: 10.1080/13548506.2016.1159705
  • Chevance, G., Héraud, N., Guerrieri, A., Rebar, A., & Boiché, J. (2017). Measuring implicit attitudes toward physical activity and sedentary behaviors: Test-retest reliability of three scoring algorithms of the implicit association test and single category-implicit association test. Psychology of Sport and Exercise, 31, 70–78. doi: 10.1016/j.psychsport.2017.04.007
  • 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 postrehabilitation behaviors. Rehabilitation Psychology, 62, 119–129. doi: 10.1037/rep0000137
  • Chevance, G., Stephan, Y., Héraud, N., & Boiché, J. (2018). Interaction between self-regulation, intentions and implicit attitudes in the prediction of physical activity among persons with obesity. Health Psychology, 37, 257–261. doi: 10.1037/hea0000572
  • Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.
  • Conn, V. S., Valentine, J. C., Cooper, H. M., & Rantz, M. J. (2003). Grey literature in meta-analyses. Nursing Research, 52, 256–261. doi: 10.1097/00006199-200307000-00008
  • Conroy, D. E., & Berry, T. R. (2017). Automatic affective evaluations of physical activity. Exercise and Sport Sciences Reviews, 45, 230–237. doi: 10.1249/JES.0000000000000120
  • 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. doi: 10.1007/s12160-010-9161-0
  • Craig, C. L., Marshall, A. L., Sjöström, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., … Oja, P. (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine & Science in Sports & Exercise, 35(8), 1381–1395. doi: 10.1249/01.mss.0000078924.61453.fb
  • De Houwer, J. (2003). The extrinsic affective simon task. Experimental Psychology, 50, 77–85. doi: 10.1026//1618-3169.50.2.77
  • De Houwer, J. D., & Moors, A. (2012). How to define and examine implicit processes? In R. Proctor & J. Capaldi (Eds.), Implicit and explicit processes in the psychology of science (pp. 183–198). New York: Oxford University Press.
  • Del Re, A. C., & Hoyt, W. T. (2010). MAc: Meta-analysis with Correlations (R Package Version 1.0. 5.) [Computer Software]. Retrieved from http://CRAN.R-project.org/package=MAc
  • Denman, D. C., & Baldwin, A. S. (2015). Implicit influences on physical activity: Understanding failures to exercise when exercise is intended (master’s thesis). Dedman College of Humanities & Sciences, Southern Methodist University, Dallas.
  • Deutsch, R., Gawronski, B., & Hofmann, W. (2017). Reflection and impulse: A framework for basic research and applied science. In R. Deutsch, B. Gawronski, & W. Hofmann (Eds.), Reflective and impulsive determinants of human behavior (pp. 1–15). New York, NY: Psychology Press.
  • Doob, L. (1947). The behavior of attitudes. Psychological Review, 54, 135–156.
  • Dunham, Y., Baron, A. S., & Banaji, M. R. (2008). The development of implicit intergroup cognition. Trends in Cognitive Sciences, 12, 248–253. doi: 10.1016/j.tics.2008.04.006
  • Ekkekakis, P., & Dafermos, M. (2012). Exercise is a many-splendored thing, but for some it does not feel so splendid: Staging a resurgence of hedonistic ideas in the quest to understand exercise behavior. In The Oxford handbook of exercise psychology (pp. 295–333). New York, NY: Oxford University Press.
  • Ekkekakis, P., & Zenko, Z. (2016). Escape from cognitivism: Exercise as hedonic experience. In M. Raab, P. Wylleman, R. Seiler, A. M. Elbe, & A. Hatzigeorgiadis (Eds.), Sport and exercise psychology research from theory to practice (pp. 389–414). London: Academic Press.
  • Endrighi, R., Basen-Engquist, K., Szeto, E., Perkins, H., Baum, G., Cox-Martin, M., … Waters, A. J. (2016). Self-reported and automatic cognitions are associated with exercise behavior in cancer survivors. Health Psychology, 35, 824–828. doi: 10.1037/hea0000385
  • Escriva-Boulley, G., & Boiché, J. (2017). Associations between parent and child implicit attitudes toward physical activity. Unpublished manuscript.
  • 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. doi: 10.1348/135910706X153775
  • Fazio, R. H. (2001). On the automatic activation of associated evaluations: An overview. Cognition and Emotion, 15, 115–141.
  • Fisher, Z., & Tipton, E. (2015). Robumeta: Robust variance meta-regression (R Package Version 1.6). Retrieved from http://CRAN.R-project.org/package=robumeta
  • Friese, M., Hofmann, W., & Schmitt, M. (2008). When and why do implicit measures predict behaviour? Empirical evidence for the moderating role of opportunity, motivation, and process reliance. European Review of Social Psychology, 19, 285–338. doi: 10.1080/10463280802556958
  • Gainforth, H. L., West, R., & Michie, S. (2015). Assessing connections between behavior change theories using network analysis. Annals of Behavioral Medicine, 49, 754–761. doi: 10.1007/s12160-015-9710-7
  • Gardner, B., de Bruijn, G.-J., & Lally, P. (2011). A systematic review and meta-analysis of applications of the self-report habit index to nutrition and physical activity behaviours. Annals of Behavioral Medicine, 42, 174–187. doi: 10.1007/s12160-011-9282-0
  • Gawronski, B., & Bodenhausen, G. V. (2006). Associative and propositional processes in evaluation: An integrative review of implicit and explicit attitude change. Psychological Bulletin, 132, 692–731. doi: 10.1037/0033-2909.132.5.692
  • Gawronski, B., & Brannon, S. M. (2019). Attitudes and the implicit-explicit dualism. In D. Albarracín & B. T. Johnson (Eds.), The handbook of attitudes. Volume 1: Basic principles (2nd ed., pp. 158–196). New York, NY: Routledge.
  • Gawronski, B., & De Houwer, J. (2014). Implicit measures in social and personality psychology. In H. T. Reis & C. M. Judd (Eds.), Handbook of research methods in social and personality psychology (2nd ed., pp. 283–310). New York, NY: Cambridge University Press.
  • Gerber, M., Ehrbar, J., Brand, R., Antoniewicz, F., Brand, S., Colledge, F., … Ludyga, S. (2018). Implicit attitudes towards exercise and physical activity behaviour among in-patients with psychiatric disorders. Mental Health and Physical Activity, 15, 71–77. doi: 10.1016/j.mhpa.2018.08.001
  • Gill, D. P., Jones, G. R., Zou, G. Y., & Speechley, M. (2008). The Phone-FITT: A brief physical activity interview for older adults. Journal of Aging and Physical Activity, 16, 292–315.
  • Gilpin, A. R. (1993). Table for conversion of Kendall’s tau to Spearman’s rho within the context of measures of magnitude of effect for meta-analysis. Educational and Psychological Measurement, 53, 87–92. doi: 10.1177/0013164493053001007
  • Godin, G., & Shephard, R. J. (1985). A simple method to assess exercise behavior in the community. Canadian Journal of Applied Sport Sciences, 10, 141–146.
  • Gourlan, M., Bernard, P., Bortolon, C., Romain, A. J., Lareyre, O., Carayol, M., … Boiché, J. (2016). Efficacy of theory-based interventions to promote physical activity. A meta-analysis of randomised controlled trials. Health Psychology Review, 10, 50–66. doi: 10.1080/17437199.2014.981777
  • Greenhouse, J. B., & Iyengar, S. (2009). Sensitivity analysis and diagnostics. In The handbook of research synthesis and meta-analysis 2nd ed. (pp. 417–433). New York, NY: Russell Sage Foundation.
  • 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
  • Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74, 1464–1480.
  • Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003). Understanding and using the implicit association test: I. An improved scoring algorithm. Journal of Personality and Social Psychology, 85, 197–216.
  • Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., & 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. doi: 10.1037/a0015575
  • Guidetti, M., Conner, M., Prestwich, A., & Cavazza, N. (2012). The transmission of attitudes towards food: Twofold specificity of similarities with parents and friends. British Journal of Health Psychology, 17, 346–361. doi: 10.1111/j.2044-8287.2011.02041.x
  • Hagger, M. S., Chatzisarantis, N. L. D., & Biddle, S. J. H. (2002). A meta-analytic review of the theories of reasoned action and planned behavior in physical activity: Predictive validity and the contribution of additional variables. Journal of Sport and Exercise Psychology, 24, 3–32. doi: 10.1123/jsep.24.1.3
  • Hall, P. T., & Fong, G. T. (2007). Temporal self-regulation theory: A model for individual health behavior. Health Psychology Review, 1, 6–52. doi: 10.1080/17437190701492437
  • Hallal, P. C., Andersen, L. B., Bull, F. C., Guthold, R., Haskell, W., Ekelund, U. & Lancet Physical Activity Series Working Group. (2012). Global physical activity levels: Surveillance progress, pitfalls, and prospects. Lancet, 380, 247–257. doi: 10.1016/S0140-6736(12)60646-1
  • Hedges, L. V., & Pigott, T. D. (2004). The power of statistical tests for moderators in meta-analysis. Psychological Methods, 9, 426–445. doi: 10.1037/1082-989X.9.4.426
  • Hedges, L. V., Tipton, E., & Johnson, M. C. (2010). Robust variance estimation in meta-regression with dependent effect size estimates. Research Synthesis Methods, 1, 39–65.
  • Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. BMJ, 327, 557–560. doi: 10.1136/bmj.327.7414.557
  • Hofmann, W., Friese, M., & Wiers, R. W. (2008). Impulsive versus reflective influences on health behavior: A theoretical framework and empirical review. Health Psychology Review, 2, 111–137. doi: 10.1080/17437190802617668
  • Hollands, G. J., Marteau, T. M., & Fletcher, P. C. (2016). Non-conscious processes in changing health-related behaviour: A conceptual analysis and framework. Health Psychology Review, 10, 381–394. doi: 10.1080/17437199.2015.1138093
  • Hyde, A. L., Doerksen, S. E., Ribeiro, N. F., & Conroy, D. E. (2010). The independence of implicit and explicit attitudes toward physical activity: Introspective access and attitudinal concordance. Psychology of Sport and Exercise, 11(5), 387–393.
  • 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 and Exercise Psychology, 34, 715–736. doi: 10.1123/jsep.34.6.715
  • 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. doi: 10.1037/0022-3514.91.1.16
  • Ladwig, M. A., Vazou, S., & Ekkekakis, P. (2018). “My best memory is when I was done with it”: PE memories are associated with adult sedentary behavior. Translational Journal of the American College of Sports Medicine, 3, 119–129.
  • Lai, C. K., Skinner, A. L., Cooley, E., Murrar, S., Brauer, M., Devos, T., … Nosek, B. A. (2016). Reducing implicit racial preferences: II. Intervention effectiveness across time. Journal of Experimental Psychology. General, 145, 1001–1016. doi: 10.1037/xge0000179
  • Lakens, D., Hilgard, J., & Staaks, J. (2016). On the reproducibility of meta-analyses: Six practical recommendations. BMC Psychology, 4. doi: 10.1186/s40359-016-0126-3
  • 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. doi: 10.1016/j.psychsport.2014.11.007
  • McEachan, R. R. C., Conner, M., Taylor, N. J., & Lawton, R. J. (2011). Prospective prediction of health-related behaviours with the Theory of Planned Behaviour: A meta-analysis. Health Psychology Review, 5(2), 97–144. doi: 10.1080/17437199.2010.521684
  • Melnikoff, D. E., & Bargh, J. A. (2018). The mythical number two. Trends in Cognitive Sciences, 22, 280–293. doi: 10.1016/j.tics.2018.02.001
  • Moeyaert, M., Ugille, M., Beretvas, S. N., Ferron, J., Bunuan, R., & Noortgate, W. V. (2016). Methods for dealing with multiple outcomes in meta-analysis: A comparison between averaging effect sizes, robust variance estimation and multilevel meta-analysis. International Journal of Social Research Methodology, 20, 559–572. doi: 10.1080/13645579.2016.1252189
  • Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. & PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6, e1000097. doi: 10.1371/journal.pmed.1000097
  • Molloy, G. J., O’Carroll, R. E., & Ferguson, E. (2014). Conscientiousness and medication adherence: A meta-analysis. Annals of Behavioral Medicine, 47, 92–101. doi: 10.1007/s12160-013-9524-4
  • Muschalik, C., Elfeddali, I., Candel, M. J. J. M., & de Vries, H. (2018). A longitudinal study on how implicit attitudes and explicit cognitions synergistically influence physical activity intention and behavior. BMC Psychology, 6, 18. doi: 10.1186/s40359-018-0229-0
  • Nosek, B. A., & Banaji, M. R. (2001). The Go/No-Go Association Task. Social Cognition, 19, 625–666. doi: 10.1521/soco.19.6.625.20886
  • Oliver, S., & Kemps, E. (2018). Motivational and implicit processes contribute to incidental physical activity. British Journal of Health Psychology, 23, 820–842. doi: 10.1111/bjhp.12318
  • Padin, A. C., Emery, C. F., Vasey, M., & Kiecolt-Glaser, J. K. (2017). Self-regulation and implicit attitudes toward physical activity influence exercise behavior. Journal of Sport & Exercise Psychology, 39, 237–248. doi: 10.1123/jsep.2017-0056
  • 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. doi: 10.1080/17437199.2016.1183506
  • Payne, B. K., Cheng, C. M., Govorun, O., & Stewart, B. D. (2005). An inkblot for attitudes: Affect misattribution as implicit measurement. Journal of Personality and Social Psychology, 89, 277–293. doi: 10.1037/0022-3514.89.3.277
  • Perugini, M., Richetin, J., & Zogmaister, C. (2010). Prediction of behavior. In B. Gawronski & K. Payne (Eds.), Handbook of implicit social cognition: Measurement, theory, and applications (pp. 255–277). New York: Guilford.
  • Quintana, D. S. (2015). From pre-registration to publication: A non-technical primer for conducting a meta-analysis to synthesize correlational data. Frontiers in Psychology, 6. doi: 10.3389/fpsyg.2015.01549
  • R Core Team. (2016). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
  • Rebar, A. L. (2017). Automatic regulation used in sport and exercise research. Oxford Research Encyclopedia of Psychology, doi: 10.1093/acrefore/9780190236557.013.231
  • Rebar, A., & Conroy, D. (2013a). Implicit attitudes and physical activity (a). Unpublished manuscript.
  • Rebar, A., & Conroy, D. (2013b). Implicit attitudes and physical activity (b). Unpublished manuscript.
  • Rebar, A. L., Dimmock, J. A., Jackson, B., Rhodes, R. E., Kates, A., Starling, J., & Vandelanotte, C. (2016). A systematic review of the effects of non-conscious regulatory processes in physical activity. Health Psychology Review, 10, 395–407. doi: 10.1080/17437199.2016.1183505
  • 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. doi: 10.1016/j.psychsport.2014.09.008
  • Rebar, A. L., Stanton, R., Geard, D., Short, C., Duncan, M. J., & Vandelanotte, C. (2015). A meta-meta-analysis of the effect of physical activity on depression and anxiety in non-clinical adult populations. Health Psychology Review, 9, 366–378. doi: 10.1080/17437199.2015.1022901
  • Reiner, M., Niermann, C., Jekauc, D., & Woll, A. (2013). Long-term health benefits of physical activity–a systematic review of longitudinal studies. BMC Public Health, 13, 813. doi: 10.1186/1471-2458-13-813
  • Rhodes, R. E. (2017). The evolving understanding of physical activity behavior. Advances in Motivation Science, 4, 171–205. doi: 10.1016/bs.adms.2016.11.001
  • Rhodes, R. E., Fiala, B., & Conner, M. (2009). A review and meta-analysis of affective judgments and physical activity in adult populations. Annals of Behavioral Medicine: A Publication of the Society of Behavioral Medicine, 38, 180–204. doi: 10.1007/s12160-009-9147-y
  • 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, 32, 942–975. doi: 10.1080/08870446.2017.1325486
  • Rhodes, R. E., & Kates, A. (2015). Can the affective response to exercise predict future motives and physical activity behavior? A systematic review of published evidence. Annals of Behavioral Medicine: A Publication of the Society of Behavioral Medicine, 49, 715–731. doi: 10.1007/s12160-015-9704-5
  • Rhodes, R. E., McEwan, D., & Rebar, A. L. (2019). Theories of physical activity behaviour change: A history and synthesis of approaches. Psychology of Sport and Exercise, 42, 100–109.
  • 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, e0129601. doi: 10.1371/journal.pone.0129601
  • Rooke, S. E., Hine, D. W., & Thorsteinsson, E. B. (2008). Implicit cognition and substance use: A meta-analysis. Addictive Behaviors, 33, 1314–1328. doi: 10.1016/j.addbeh.2008.06.009
  • Rosenbaum, S., & Ward, P. B. & International Working Group. (2016). The simple physical activity questionnaire. The Lancet. Psychiatry, 3, e1. doi: 10.1016/S2215-0366(15)00496-4
  • Rotteveel, M., Gierholz, A., Koch, G., van Aalst, C., Pinto, Y., Matzke, D., … Wagenmakers, E.-J. (2015). On the automatic link between affect and tendencies to approach and avoid: Chen and Bargh (1999) revisited. Frontiers in Psychology, 6. doi: 10.3389/fpsyg.2015.00335
  • Sallis, J. F., Haskell, W. L., & Wood, P. D. (1985). Physical activity assessment methodology in the five-city project. American Journal of Epidemiology, 121, 91–106.
  • Schinkoeth, M., & Antoniewicz, F. (2017). Automatic evaluations and exercising: Systematic review and implications for future research. Frontiers in Psychology, 8), doi: 10.3389/fpsyg.2017.02103
  • Schwarzer, R. (2008). Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology, 57, 1–29.
  • Sheeran, P., Bosch, J. A., Crombez, G., Hall, P. A., Harris, J. L., Papies, E. K., & Wiers, R. W. (2016). Implicit processes in health psychology: Diversity and promise. Health Psychology, 35, 761–766. doi: 10.1037/hea0000409
  • Sheeran, P., Gollwitzer, P. M., & Bargh, J. A. (2013). Nonconscious processes and health. Health Psychology, 32, 460–473. doi: 10.1037/a0029203
  • Sheeran, P., Klein, W. M. P., & Rothman, A. J. (2017). Health behavior change: Moving from observation to intervention. Annual Review of Psychology, 68, 573–600. doi: 10.1146/annurev-psych-010416-044007
  • Sherman, S. J., Chassin, L., Presson, C., Seo, D.-C., & Macy, J. T. (2009). The intergenerational transmission of implicit and explicit attitudes toward smoking. Journal of Experimental Social Psychology, 45, 313. doi: 10.1016/j.jesp.2008.09.012
  • Sriram, N., & Greenwald, A. G. (2009). The brief implicit association test. Experimental Psychology, 56, 283–294. doi: 10.1027/1618-3169.56.4.283
  • Statistics Canada. (2015). CANSIM table 117–0019: Distribution of the household population meeting/not meeting the Canadian physical activity guidelines, by sex and age group. Ottawa, ON: Author.
  • Tanner-Smith, E., & Tipton, E. (2014). Robust variance estimation with dependent effect sizes: Practical considerations and a software tutorial in Stata and SPSS. Research Synthesis Methods, 5, 13–30.
  • Tipton, E. (2015). Small sample adjustments for robust variance estimation with meta-regression. Psychological Methods, 20, 375–393.
  • Tremblay, M. S., Aubert, S., Barnes, J. D., Saunders, T. J., Carson, V., & Latimer-Cheung, A. E. … on behalf of SBRN Terminology Consensus Project Participants. (2017). Sedentary behavior research network (SBRN) – Terminology consensus project process and outcome. International Journal of Behavioral Nutrition and Physical Activity, 14, 75. doi: 10.1186/s12966-017-0525-8
  • van Hees, V. T., Gorzelniak, L., Dean León, E. C., Eder, M., Pias, M., Taherian, S., … Brage, S. (2013). Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity. PloS One, 8, e61691. doi: 10.1371/journal.pone.0061691
  • Viechtbauer, W., & Cheung, M. W. L. (2010). Outlier and influence diagnostics for meta-analysis. Research Synthesis and Method, 1, 112–125. doi: 10.1002/jrsm.11
  • Warburton, D. E., Charlesworth, S., Ivey, A., Nettlefold, L., & Bredin, S. S. (2010). A systematic review of the evidence for Canada’s physical activity guidelines for adults. The International Journal of Behavioral Nutrition and Physical Activity, 7, 39. doi: 10.1186/1479-5868-7-39
  • Wendel-Vos, G. C. W., Schuit, A. J., Saris, W. H. M., & Kromhout, D. (2003). Reproducibility and relative validity of the short questionnaire to assess health-enhancing physical activity. Journal of Clinical Epidemiology, 56, 1163–1169.
  • Yun, L., & Berry, T. R. (2018). Examining implicit cognitions in the evaluation of a community-wide physical activity program. Evaluation and Program Planning, 69, 10–17. doi: 10.1016/j.evalprogplan.2018.04.001
  • Zelinsky, N. A., & Shadish, W. (2016). A demonstration of how to do a meta-analysis that combines single-case designs with between-groups experiments: The effects of choice making on challenging behaviors performed by people with disabilities. Developmental Neurorehabilitation, 21(4), 266–278. doi: 10.3109/17518423.2015.1100690
  • Zenko, Z., & Ekkekakis, P. (2019). Internal consistency and validity of measures of automatic exercise associations. Psychology of Sport and Exercise, 43, 4–15. doi: 10.1016/j.psychsport.2018.12.005

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