Ian D Boardley1, Alan L Smith2, Nikos Ntoumanis3,4, Daniel F Gucciardi4,5, Tyler S Harris2. 1. School of Sport, Exercise & Rehabilitation Sciences, University of Birmingham, Birmingham, UK. 2. Department of Kinesiology, Michigan State University, East Lansing, Michigan, USA. 3. School of Psychology, Curtin University, Perth, Western Australia, Australia. 4. Physical Activity and Well-Being Lab, Curtin University, Perth, Western Australia, Australia. 5. School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia.
Abstract
OBJECTIVES: We tested a conceptually grounded model linking athlete perceptions of strength and conditioning and technical coach doping confrontation efficacy (DCE) with athletes' doping self-regulatory efficacy (SRE), doping moral disengagement (MD), and susceptibility to intentional and inadvertent doping. DESIGN: Cross-sectional, correlational. METHODS: Participants were high-level athletes (nmale = 532; nfemale = 290) recruited in Australia (n = 261), the UK (n = 300), and the USA (n = 261). All participants completed questionnaires assessing the variables alongside a variant of the randomized response technique to estimate the prevalence of doping. RESULTS: The estimated prevalence of intentional doping in the sample was 13.9%. Structural equation modeling established: (a) perceptions of technical and strength and conditioning coaches' DCE positively predicted doping SRE; (b) doping SRE negatively predicted doping MD; (c) doping MD positively predicted susceptibility to intentional and inadvertent doping; and (d) the predictive effects of coach perceptions on susceptibility to doping were mediated by doping SRE and doping MD. Multisample analyses demonstrated these predictive effects were invariant between males and females and across the three countries represented. CONCLUSIONS: The findings show the conceptually grounded model to offer extended understanding of how multiple individuals within the athlete support personnel network may influence athlete doping.
OBJECTIVES: We tested a conceptually grounded model linking athlete perceptions of strength and conditioning and technical coach doping confrontation efficacy (DCE) with athletes' doping self-regulatory efficacy (SRE), doping moral disengagement (MD), and susceptibility to intentional and inadvertent doping. DESIGN: Cross-sectional, correlational. METHODS:Participants were high-level athletes (nmale = 532; nfemale = 290) recruited in Australia (n = 261), the UK (n = 300), and the USA (n = 261). All participants completed questionnaires assessing the variables alongside a variant of the randomized response technique to estimate the prevalence of doping. RESULTS: The estimated prevalence of intentional doping in the sample was 13.9%. Structural equation modeling established: (a) perceptions of technical and strength and conditioning coaches' DCE positively predicted doping SRE; (b) doping SRE negatively predicted doping MD; (c) doping MD positively predicted susceptibility to intentional and inadvertent doping; and (d) the predictive effects of coach perceptions on susceptibility to doping were mediated by doping SRE and doping MD. Multisample analyses demonstrated these predictive effects were invariant between males and females and across the three countries represented. CONCLUSIONS: The findings show the conceptually grounded model to offer extended understanding of how multiple individuals within the athlete support personnel network may influence athlete doping.
Authors: Adam Robert Nicholls; Lucas R W Fairs; Mar Plata-Andrés; Richard Bailey; Edward Cope; Daniel Madigan; Katrin Koenen; Iva Glibo; Nikolaos C Theodorou; Jean-Francois Laurent; Gaetan Garcia; Benoit Chanal Journal: BMJ Open Sport Exerc Med Date: 2020-10-01
Authors: Nikos Ntoumanis; Eleanor Quested; Laurie Patterson; Stella Kaffe; Susan H Backhouse; George Pavlidis; Lisa Whitaker; Vassilis Barkoukis; Brendan J Smith; Helen R Staff; Daniel F Gucciardi Journal: Br J Sports Med Date: 2020-09-11 Impact factor: 13.800