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Dr Kate Kirby School of Psychology UCD Presentation.pdf

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How Sport <strong>Psychology</strong> Can Inform<br />

Anti-Doping Strategies<br />

<strong>Dr</strong>. <strong>Kate</strong> <strong>Kirby</strong><br />

<strong>School</strong> <strong>of</strong> <strong>Psychology</strong>, University College Dublin<br />

Funded by World Anti-Doping Agency/Irish Sports Council<br />

<strong>UCD</strong> <strong>School</strong> <strong>of</strong> <strong>Psychology</strong><br />

Scoil na Síceolaíochta <strong>UCD</strong>


Introduction<br />

• Doping in sport has attracted increased research<br />

interest from psychologists in recent years<br />

• Such research has tended to investigate correlates<br />

or predictors <strong>of</strong> athletes’ attitudes to doping and/or<br />

their intent to engage in doping<br />

• These studies have typically measured demographic,<br />

motivation & sportspersonship/moral variables


Linking doping research and<br />

practice<br />

• Doping controls have traditionally relied on<br />

detection-based methods to deter athletes from<br />

doping<br />

• Prevention-based methods have historically <strong>of</strong>fered<br />

little beyond the provision <strong>of</strong> information about<br />

avoiding testing positive and outlining the dangers<br />

& consequences <strong>of</strong> doping (Dimeo, 2011)<br />

• BUT...by identifying social & personality variables<br />

associated with permissive doping attitudes,<br />

intentions or behaviours we can:<br />

– (a) identify the factors that predict doping and thereby<br />

detect ‘at-risk’ athletes<br />

– (b) develop evidence-based doping prevention methods


Study 1<br />

What are the psycho-social predictors <strong>of</strong><br />

athletes’ attitudes to doping<br />

Variables measured<br />

• Demographic & sporting<br />

background, doping experience<br />

• Psychological variables<br />

including confidence,<br />

perfectionism, motivation,<br />

coaching climate<br />

• Correlated with Performance<br />

Enhancement Attitudes Scale<br />

Demographics<br />

• N = 375 (64% m; 36% f)<br />

• Mean age = 23.8 yrs<br />

• 16 countries, 27 sports<br />

• International: 46.3%<br />

National: 20.7%<br />

Regional: 33%<br />

• 49.3% hardcopy<br />

50.7% online


Significant predictors <strong>of</strong> athletes’ attitudes to<br />

doping, using multiple regression analysis<br />

Predictors B SE B β<br />

Ego orientation 0.27 .08 .16*<br />

Gender -3.33 1.01 -.17*<br />

Knowing dopers -3.11 0.98 -.16*<br />

Coach criticism 0.39 0.92 .22**<br />

Team sport -3.14 1.01 -.16*<br />

R 2 = .02. *p


What does this mean in practical terms<br />

• The combination <strong>of</strong><br />

variables that predicted<br />

the most permissive<br />

doping attitudes were:<br />

• High ego orientation<br />

• Male<br />

• Personally knowing other<br />

doping athletes<br />

• Having an overtly critical<br />

coach<br />

• Being a non-team sport<br />

athlete


Study 2: A qualitative investigation <strong>of</strong><br />

elite athletes’ doping experiences<br />

• Rationale<br />

– Dissatisfaction with proportion <strong>of</strong> variance explained<br />

in study 1 (80% still unexplained).<br />

– No study had attempted this before with competitive<br />

athletes, yet such information is vital to inform<br />

evidence-based doping prevention methods.<br />

• Aims<br />

– Explore in greater depth the individual, social and<br />

contextual factors that influenced athletes’ doping<br />

decisions


Study 2: Qualitative Research<br />

Research design:<br />

• Semi-structured interviews with<br />

athletes who admitted to doping<br />

for the purpose <strong>of</strong> illegally<br />

enhancing performance<br />

Participants:<br />

• N = 5 (All male; 2 Irish, 2 US;<br />

1 Scandinavian)<br />

• Age 29-45 years<br />

• All pro or Olympic level<br />

• 3 road cyclists<br />

• 1 mountain biker<br />

• 1 weightlifter


Summary <strong>of</strong> themes identified as<br />

significant in athletes’ doping decisions<br />

Factors influencing doping decision<br />

1. Internal factors 2. External factors 3. Doping deterrents<br />

a. Consideration and justification<br />

a. Pressure<br />

a. Internal factors<br />

b. <strong>Psychology</strong> and personality<br />

b. Ease <strong>of</strong> access<br />

b. External factors<br />

c. Personal circumstances<br />

c. Sources <strong>of</strong> influence within sport<br />

d. Sources <strong>of</strong> influence outside sport


Practical Implications <strong>of</strong> Findings – Part 1<br />

1. Morality and ethical concerns were the most<br />

prominent factors in athletes’ decision-making and<br />

acted as the strongest deterrent to doping<br />

“...their upbringing and their moral character and you know,<br />

what their value system is, that can be the crux <strong>of</strong> whether<br />

or not they decide to dope”<br />

– Anti-doping programmes should move beyond provision<br />

<strong>of</strong> information, to teaching <strong>of</strong> moral decision-making<br />

2. ‘Critical incidents’ that led to doping included:<br />

injury, time <strong>of</strong>f from sport, sudden drop in performance, new<br />

training environment & removal <strong>of</strong> coaching role model<br />

– Identifying these ‘doping tipping points’ in the careers <strong>of</strong><br />

elite athletes should inform the timing <strong>of</strong> preventative<br />

interventions


Practical Implications <strong>of</strong> Findings – Part 2<br />

3. In a team sport environment, the desire to<br />

remain part <strong>of</strong> the group was a strong incentive to<br />

dope<br />

“It’s this almost implied pressure to participate in the same<br />

kind <strong>of</strong> illegal and unethical activities as everyone else<br />

because if you don’t, it calls into question your eh, your<br />

ability to be trusted, I guess, by your team-mates.”<br />

– Pressure from teammates to dope was not direct, but<br />

implied<br />

– Teaching athletes how to withstand such forms <strong>of</strong><br />

pressure is likely to be an effective preventative measure<br />

– When the athletes were caught doping, these team<br />

‘bonds’ quickly disappeared


Practical Implications <strong>of</strong> Findings – Part 3<br />

4. Potential health consequences <strong>of</strong> doping were not<br />

serious concerns for athletes in their initial decision<br />

to engage in doping<br />

“The health consequences I didn’t worry about at all”<br />

– Threat-based deterrence methods are less effective than<br />

ones which emphasise development <strong>of</strong> self-control &<br />

willpower to resist the temptation to cheat<br />

5. Athletes <strong>of</strong>ten did not consider the likelihood <strong>of</strong><br />

testing positive when deciding to dope<br />

“I told myself, you’re not going to get caught anyway so why<br />

bother worrying about it”<br />

– On its own, the detection-based system <strong>of</strong> drug testing &<br />

sanctioning is an ineffective deterrent for some athletes<br />

– Preventative measures which go beyond provision <strong>of</strong><br />

information and are based in social science research also<br />

have an important role to play in the fight against doping.


Future research directions<br />

• Research with high performance coaches on knowledge,<br />

attitudes and intentions with respect to promoting anti-doping<br />

• Data will be collected through online questionnaire.<br />

• If you have access to a database <strong>of</strong> coaches, your help with<br />

distributing the questionnaire would be much appreciated!<br />

For more information please contact<br />

kate.kirby@ucd.ie<br />

Research Team: <strong>Dr</strong>. <strong>Kate</strong> <strong>Kirby</strong>, Pr<strong>of</strong>. Aidan Moran, <strong>Dr</strong>. Suzanne<br />

Guerin

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