Doping-untested strength-sport athletes (powerlifters, strongmen, armlifters, etc.,) are infamous for their doping use, but their exact doping regimens are not known. The purpose of this study was to provide a reasonable portrait of doping history in this specific athlete group for medical practitioners. Seventy-five athletes were selected by netnography of the social media community around the Finnish doping-untested strength-sport federations on the basis of their activity in doping-related discussions, and the athletes were invited to answer a detailed doping-related anonymous survey. Fifty respondents completed the survey. 100% of the respondents reported use of anabolic androgenic steroids, 66% reported use of stimulants, and 80% use of non-steroidal anabolic substances. The doses of both testosterone products and human growth hormone were notably larger than reported in previous studies of gym users (mostly non-competitive athletes). The subjects reported simultaneous use of an average 5.66 illegal substances, and lifetime use of 16.78 illegal substances. The doses of illicit drugs, as well as polypharmacy, among competitive doping-untested strength-sport athletes are higher than previously reported among recreational gym users, and side effects are likely in this specific population.
Purpose: Powerlifting is clearly divided into doping tested amateur competitions and doping untested pro competitions with pro competition money prizes ranging from a few thousand USD to over 120 000 USD in a single competition. However, the results of both pro and amateur powerlifting competitions are then collected and put into the same result database (although there is the possibility to filter the results using doping control status). The powerlifting results are compared by scores to have a fair comparison between different weight class athletes. This study plays with the thought of comparing doping tested and doping untested athletes, and creates a coefficient for the comparison. Methods: The powerlifting results (noted in kg) of the 10 top ranked athletes per weight class and separately for men and women, and for doping tested and doping untested categories were collected from the openpowerlifting.org database. A weight adjusted model was fit to these results separately for men and women with the doping control status used a binary factor. Results: Doping control status was a significant factor when modelling the powerlifting results, p<0.001 for both men and women. Men's doping untested results were 1.0725 times as large as the doping tested results. Women's doping untested results were 1.1208 times as large as the doping tested results. These separate and precise factors could be used as coefficients for scoring doping tested and doping untested athletes' powerlifting results. Moreover, the coefficients approximate the effect of doping on an elite level athlete's results.
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