Illegal performance enhancing drugs and doping in sport: a picture-based brief implicit association test for measuring athletes’ attitudes

Substance Abuse Treatment, Prevention, and Policy

Matthias Ziegler¹  Philipp Heck¹  Ralf Brand² 

[1] Psychological Institute, Humboldt University of Berlin, Unter den Linden 6, Berlin 10099, Germany;Department of Sport and Exercise Psychology, University Potsdam, Am Neuen Palais 10, Potsdam 14469, Germany

关键词: Methodology;    Implicit attitude test (IAT);    Indirect test;    Bodybuilding;    Doping attitude;   

Others  :  833388
DOI  :  10.1186/1747-597X-9-7

 received in 2013-08-30, accepted in 2014-01-28,  发布年份 2014

【 摘 要 】

Background

Doping attitude is a key variable in predicting athletes’ intention to use forbidden performance enhancing drugs. Indirect reaction-time based attitude tests, such as the implicit association test, conceal the ultimate goal of measurement from the participant better than questionnaires. Indirect tests are especially useful when socially sensitive constructs such as attitudes towards doping need to be described. The present study serves the development and validation of a novel picture-based brief implicit association test (BIAT) for testing athletes’ attitudes towards doping in sport. It shall provide the basis for a transnationally compatible research instrument able to harmonize anti-doping research efforts.

Method

Following a known-group differences validation strategy, the doping attitudes of 43 athletes from bodybuilding (representative for a highly doping prone sport) and handball (as a contrast group) were compared using the picture-based doping-BIAT. The Performance Enhancement Attitude Scale (PEAS) was employed as a corresponding direct measure in order to additionally validate the results.

Results

As expected, in the group of bodybuilders, indirectly measured doping attitudes as tested with the picture-based doping-BIAT were significantly less negative (η² = .11). The doping-BIAT and PEAS scores correlated significantly at r = .50 for bodybuilders, and not significantly at r = .36 for handball players. There was a low error rate (7%) and a satisfactory internal consistency (r_tt = .66) for the picture-based doping-BIAT.

Conclusions

The picture-based doping-BIAT constitutes a psychometrically tested method, ready to be adopted by the international research community. The test can be administered via the internet. All test material is available “open source”. The test might be implemented, for example, as a new effect-measure in the evaluation of prevention programs.

【 授权许可】

   
2014 Brand et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

Figure 2.

【 参考文献 】

• [1]World anti-doping code http://www.wada-ama.org/Documents/World_Anti-Doping_Program/WADP-The-Code/WADA_Anti-Doping_CODE_2009_EN.pdf webcite
• [2]Pitsch W, Emrich E: The frequency of doping in elite sport: results of a replication study. Int Rev Sociol Sport 2012, 47:559-580.
• [3]Sottas PE, Robinson N, Fischetto G, Dollé G, Alonso JM, Saugy M: Prevalence of blood doping in samples collected from elite track and field athletes. Clin Chem 2011, 57:762-769.
• [4]2011 laboratory testing figures http://www.wada-ama.org/Documents/Resources/Testing-Figures/WADA-2011-Laboratory-Testing-Figures.pdf webcite
• [5]Houlihan B: Managing compliance in international anti-doping policy: the world anti-doping code. Eur Sport Manage Q 2002, 2:188-208.
• [6]Mazanov J, McDermott V: The case for a social science of drugs in sport. Sport Soc 2009, 23:276-295.
• [7]Gucciardi DF, Jalleh G, Donovan RJ: Does social desirability influence the relationship between doping attitudes and doping susceptibility in athletes? Psychol Sport Exerc 2010, 11:479-486.
• [8]Petróczi A, Uvacsek M, Nepusz T, Deshmukh N, Shah I, Aidman EV, Barker J, Tóth M, Naughton DP: Incongruence in doping related attitudes, beliefs and opinions in the context of discordant behavioural data: in which measure do we trust? PLoS One 2011, 6(4):e18804.
• [9]Backhouse S, McKenna J, Robinson S, Atkin A: Attitudes, behaviours, knowledge and education - drugs in sport: past, present and future. http://www.wada-ama.org/rtecontent/document/backhouse_et_al_full_report.pdf webcite
• [10]Lazuras L, Barkoukis V, Rodafinos A, Tzorbatzoudis H: Predictors of doping intentions in elite-level athletes: a social cognition approach. J Sport Exerc Psychol 2010, 32:694-710.
• [11]Zelli A, Mallia L, Lucidi F: The contribution of interpersonal appraisals to a social-cognitive analysis of adolescents’ doping use. Psychol Sport Exerc 2010, 11:304-311.
• [12]Morente-Sánchez J, Zabala M: Doping in sport: a review of elite athletes’ attitudes, beliefs, and knowledge. Sports Med 2013, 43:395-411.
• [13]Kraus SJ: Attitudes and the prediction of behavior: a meta-analysis of the empirical literature. Personal Soc Psychol Bull 1995, 21:58-75.
• [14]Olson JM, Zanna MP: Attitudes and attitude change. Annu Rev Psychol 1993, 44:117-154.
• [15]Strack F, Deutsch R: Reflective and impulsive determinants of social behavior. Personal Soc Psychol Rev 2004, 8:220-247.
• [16]Wilson TD, Lindsey S, Schooler TY: A model of dual attitudes. Psychol Rev 2000, 107:101-126.
• [17]Gawronski B, Bodenhausen G: Associative and propositional processes in evaluation: an integrative review of implicit and explicit attitude change. Psychol Bull 2006, 132:692-731.
• [18]Petróczi A, Aidman EV: Measuring explicit attitude toward doping: review of the psychometric properties of the performance enhancement attitude scale. Psychol Sport Exerc 2009, 10:390-396.
• [19]Morente-Sánchez J, Mateo-March M, Zabala M: Attitudes towards doping and related experience in Spanish national cycling teams according to different Olympic disciplines. PLoS One 2013, 8(8):e70999.
• [20]Kim TG, Kim EK: Attitudes and dispositions toward doping in adolescent elite athletes. Korean J Sports Med 2013, 31:99-106.
• [21]Brand R, Melzer M, Hagemann N: Towards an implicit association test (IAT) for measuring doping attitudes in sports. Data-based recommendations developed from two recently published tests. Psychol Sport Exerc 2011, 12:250-256.
• [22]Petróczi A, Aidman EV, Nepusz T: Capturing doping attitudes by self-report declarations and implicit assessment: a methodology study. Subst Abuse Treat Prev Policy 2008, 3:9. BioMed Central Full Text
• [23]Greenwald AG, McGhee DE, Schwartz JLK: Measuring individual differences in implicit cognition: the implicit association test. J Pers Soc Psychol 1998, 74:1464-1480.
• [24]Collins AM, Loftus EF: A spreading-activation theory of semantic processing. Psychol Rev 1975, 82:407-428.
• [25]Greenwald AG, Nosek B, Banaji MR: Understanding and using the implicit association test: I. An improved scoring algorithm. J Pers Soc Psychol 2003, 85:197-216.
• [26]Fiedler K, Messner C, Bluemke M: Unresolved problems with the “I”, the “A”, and the “T”: A logical and psychometric critique of the Implicit association test (IAT). Eur Rev Soc Psychol 2006, 17:74-147.
• [27]Krosnick JA, Judd CM, Wittenbrink B: The measurement of attitudes. In Handbook of Attitudes. Edited by Albarracín D, Johnson TB, Zanna MP. New York, NY US: Lawrence Erlbaum Associates Publishers; 2005:21-76.
• [28]Nosek BA, Greenwald AG, Banaji MR: The implicit association test at age 7: a methodological and conceptual review. In Social Psychology and the Unconscious: The Automaticity of Higher Mental Processes. Edited by Bargh JA. New York, NY US: Psychology Press; 2007:265-292.
• [29]Fazio R, Olson M: Implicit measures in social cognition research: their meaning and use. Annu Rev Psychol 2003, 54:297-327.
• [30]Hughes S, Barnes-Holmes D, De Houwer J: The dominance of associative theorizing in implicit attitude research: propositional and behavioral alternatives. Psychol Rec 2011, 8:465-496.
• [31]Fiedler K, Bluemke M: Faking the IAT: aided and unaided response control on the implicit association tests. Basic Appl Soc Psychol 2005, 27:307-316.
• [32]Greenwald AG, Poehlmann T, Uhlmann EL, Banaji MR: Understanding and using the implicit association test: III. Meta-analysis of predictive validity. J Person Soc Psychol 2009, 97:17-41.
• [33]Greenwald AG, Sriram N: No measure is perfect, but some measures can be quite useful. Exp Psychol 2010, 57:238-242.
• [34]Hofmann W, Gawronski B, Gschwendner T, Le H, Schmitt M: A meta-analysis on the correlation between the implicit association test and explicit self-report measure. Personal Soc Psychol Bull 2005, 31:1369-1385.
• [35]Lotz S, Hagemann N: Using the implicit association test to measure athletes’ attitude toward doping. J Sport Exerc Psychol 2007, 29(Suppl 3):183-184.
• [36]Bluemke M, Friese M: Do features of stimuli influence IAT effects? J Exp Soc Psychol 2006, 42:163-176.
• [37]Sriram N, Greenwald AG: The brief implicit association test. Exp Psychol 2009, 56:283-294.
• [38]Greenwald AG, Smith CT, Sriram N, Bar-Anan Y, Nosek BA: Implicit race attitudes predicted vote in the 2008 US presidential election. Anal Soc Issues Public Policy 2009, 9:241-253.
• [39]Dasgupta N, McGhee D, Greenwald A, Banaji MR: Automatic preference for white americans: eliminating the familiarity explanation. J Exp Soc Psychol 2000, 36:316-328.
• [40]Mitchell J, Nosek BA, Banaji MR: Contextual variations in implicit evaluation. J Exp Psychol Gen 2003, 132:455-469.
• [41]Foroni F, Bel-Bahar T: Picture-IAT versus word-IAT: level of stimulus representation influences on the IAT. Eur J Soc Psychol 2009, 40:321-337.
• [42]Delbeke FT, Desmet N, Debackere M: The abuse of doping agents in competing body builders in Flanders (1988–1993). Int J Sports Med 1995, 16:66-70.
• [43]World Anti Doping Agency: 2009 adverse analytical findings and atypical findings: reported by accredited laboratories. http://www.wada-ama.org/Documents/Science_Medicine/Anti-Doping_Laboratories/Lab_Statistics/WADA_2009_LaboratoryStatisticsReport_Final.pdf webcite
• [44]Perry PJ, Lund BC, Deninger MJ, Kutscher EC, Schneider J: Anabolic steroid use in weightlifters and bodybuilders. An internet survey of drug utilization. Clin J Sports Med 2005, 15:326-330.
• [45]Rothermund K, Wentura D: It’s brief but is it better? An evaluation of the brief implicit association test. Exp Psychol 2010, 57:233-237.
• [46]von Stülpnagel R, Steffens M: Prejudiced or just smart? Intelligence as a confounding factor in the IAT effect. J Psychol 2010, 218:51-53.
• [47]Ziegler M, Schmukle S, Egloff B, Bühner M: Investigating measures of achievement motivation(s). J Individ Differ 2010, 31:15-21.
• [48]Dimeo P, Allen J, Taylor J, Robinson L: Team dynamics and doping in sport: a risk or a protective factor? World anti-doping agency. http://www.wada-ama.org/Documents/Education_Awareness/SocialScienceResearch/Funded_Research_Projects/Dimeo_Team_Dynamics_2011_Report_EN.pdf webcite
• [49]Banse R, Seise J, Zerbes N: Implicit attitudes towards homosexuality: reliability, validity, and controllability of the IAT. Z Exp Psychol 2001, 48:145-160.
• [50]Ajzen I: The theory of planned behavior. Organ Behav Hum Decis Process 1991, 50:179-211.
• [51]Donovan RJ, Egger G, Kapernick V, Mendoza J: A conceptual framework for achieving performance enhancing drug compliance in sport. Sports Med 2002, 32:269-284.
• [52]Lucidi F, Zelli A, Luca M, Grano C, Russo PM, Violani C: The social-cognitive mechanisms regulating adolescents’ use of doping substances. J Sports Sci 2008, 26:447-456.
• [53]Sheeran P: Intention-behavior relations: a conceptual and empirical review. Eur Rev Soc Psychol 2002, 12:1-36.
• [54]Petty RE, Briñol P, DeMarree KG: The meta-cognitive model (MCM) of attitudes: implications for attitude measurement, change, and strength. Soc Cogn 2007, 25:657-686.
• [55]Perugini M: Predictive models of implicit and explicit attitudes. Br J Soc Psychol 2005, 44:29-45.
• [56]Petty RE, Fazio RH, Briñol P: The new implicit measures: an overview. In Attitudes: Insights from the New Implicit Measures. Edited by Petty RE, Fazio RH, Briñol P. New York, NY US: Psychology Press; 2008:3-18.
• [57]Nosek BA, Riskind RG: Policy implications of implicit social cognition. Soc Issues Policy Rev 2012, 6:112-145.
• [58]Meissner F, Rothermund K: Estimating the contributions of associations and recoding in the Implicit Association Test: The ReAL model for the IAT. J Pers Soc Psychol 2013, 104:45-69.