Introduction: Currently the use of prohibited performance-enhancing substances (PES) in fitness and gym settings is a public health concern as adverse health consequences are emerging. Understanding the characteristics of gym-goers who do not use these substances could lead to an important complement to the ongoing research about risk factors for PES use. The aim of this study was to identify the profile of PES non-use in gym-goers.
View Article and Find Full Text PDFInt J Environ Res Public Health
July 2021
Currently, the main public health concern worldwide is the COVID-19 pandemic, caused by SARS-CoV-2, which was recently discovered and described. Due to its high pathogenicity and infectiousness, it is necessary to determine the risk healthcare professionals face every day while dealing with infected patients and contaminated biological samples. The purpose of this study was to assess Portuguese Biomedical Scientists' risk of COVID-19 exposure and related stress appraisals.
View Article and Find Full Text PDFNowadays, doping is not confined to elite sport, it is also spread throughout gymnasia and fitness centers, and it is seen as a public health concern. Studies focusing on performance-enhancing substances (PES) use among gym users are few and mostly concern the practice of bodybuilding and the use of anabolic-androgenic steroids (AAS), without providing information about social indicators to further explore why this specific population use these substances. To investigate the extent of PES use and examine the way social indicators, exercise profile and gym modalities influence the use of these substances among a sample of gym users.
View Article and Find Full Text PDFThe purpose of this study is to examine the determinants of the intentions to use prohibited performance-enhancing substances (PES) and to test the Theory of Planned Behavior's usefulness in predicting self-reported PES use in both genders. A convenience sample of Portuguese gym users ( = 453) completed an anonymous web-based survey. Structural equation modeling, multigroup analysis, and -test with the Welch correction for heterokedastic variances were used.
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