Facial features and unethical behavior - Doped athletes show higher facial width-to-height ratios than non-doping sanctioned athletes

Facial features and unethical behavior - Doped athletes show higher facial width-to-height ratios than non-doping sanctioned athletes / Bjoern Krenn, Callum Buehler. - (PLoSONE (2019) 30 October); p. 1-9).
- PMID: 31665155.
- PMCID: PMC6821090.
- DOI: 10.1371/journal.pone.0224472


Abstract

Past research has emphasized the role of facial structures in predicting social behavior. In particular the facial width-to-height ratio (fWHR) was found to be a reliable predictor for antisocial and unethical behavior. The current study was aimed at examining this association in the field of sports: FWHRs of 146 doping sanctioned athletes in athletics (37 male/38 female) and weightlifting (44 male/27 female) were compared to the fWHRs of randomly chosen non-doping sanctioned athletes of the Top Ten at the World Championship 2017 and Olympic Games 2016 in both sports (146 athletes). The results showed that doping sanctioned athletes due to the use of anabolic steroids had larger fWHRs than non-doping sanctioned athletes. However, doping sanctioned athletes due to other doping rule violations than the use of anabolic steroids, did not show this effect. The study provides empirical evidence for the relation between fWHR and unethical behavior in a real-world setting and contributes to the discussion about fWHR’s biological origin, emphasizing the role of anabolic steroids. A mutual interaction between fWHR and doping behavior is discussed, at which a larger fWHR might signify a higher tendency to behave unethically, whereas the consequential intake of anabolic steroids might also shape individuals’ faces.

Original document

Parameters

Science
Research / Study
Date
30 October 2019
People
Buehler, Callum
Krenn, Bjoern
Country
Austria
Language
English
Other organisations
Universität Wien - University of Vienna
Doping classes
S1. Anabolic Agents
Document category
Scientific article
Document type
Pdf file
Date generated
23 October 2019
Date of last modification
15 November 2019
Category
  • Legal Source
  • Education
  • Science
  • Statistics
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  • Analytical aspects
  • Doping classes
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  • Various
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