Dataset Information

Random forest model to identify factors associated with anabolic-androgenic steroid use.

ABSTRACT:

Background

One of the types of doping that is commonly used by bodybuilders, is androgenic-anabolic steroids (AAS). The use of AAS besides violating sporting ethics would have serious consequences on physical and mental health statuses. This study aimed to determine the most important factors of using AAS among bodybuilders by prototype willingness model (PWM).

Methods

In this analytical cross-sectional study, 280 male bodybuilders were selected from the bodybuilding clubs in Hamadan city using multistage sampling in 2016. A self-administered questionnaire consisting of demographic information and constructs of the PWM was then used to collect data and random forest model was also applied to analyze the collected data.

Results

Behavioral willingness, attitude, and previous AAS use were found as the most important factors in determining the behavioral intention. Moreover, subjective norms, attitude, BMI, and prototypes were the factors with the greatest effect on predicting behavioral willingness of AAS use. As well, behavioral intention was observed to be more important than behavioral willingness for predicting of AAS use.

Discussion

The obtained results show that the reasoned action path has a greater impact to predict AAS use among bodybuilders compared to social reaction path.

SUBMITTER: Manoochehri Z

PROVIDER: S-EPMC7988984 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Random forest model to identify factors associated with anabolic-androgenic steroid use.

Manoochehri Zohreh Z Barati Majid M Faradmal Javad J Manoochehri Sara S

BMC sports science, medicine & rehabilitation 20210323 1

<h4>Background</h4>One of the types of doping that is commonly used by bodybuilders, is androgenic-anabolic steroids (AAS). The use of AAS besides violating sporting ethics would have serious consequences on physical and mental health statuses. This study aimed to determine the most important factors of using AAS among bodybuilders by prototype willingness model (PWM).<h4>Methods</h4>In this analytical cross-sectional study, 280 male bodybuilders were selected from the bodybuilding clubs in Hama ...[more]

PMID: 33757585

Similar Datasets

Project description:ImportanceLong-term use of anabolic androgenic steroids (AASs) is associated with a high risk of left ventricular hypertrophy, heart failure with reduced systolic function, and early sudden death, with the mechanism of progression being understudied. Early and persistent impaired myocardial microcirculation could be of clinical importance and a potential underlying mechanism of frequent and early cardiac disease among individuals with AAS use and a future potential target for intervention.ObjectiveTo investigate coronary microcirculation by measuring myocardial flow reserve (MFR) in men with current and former AAS use compared with controls with no prior AAS use, using cardiac rubidium 82 (82Rb) positron emission tomography/computed tomography (PET/CT).Design, setting, and participantsThis cross-sectional study included men involved in recreational strength training without established cardiovascular disease grouped according to their history of AAS use. The study was conducted November 24, 2021, to August 16, 2023.ExposureCardiac PET/CT with 82Rb was performed at rest and after adenosine-induced stress.Main outcome and measureThe primary outcome of this study was the MFR among the study groups; a secondary outcome was the coronary calcium score. By definition, impaired myocardial microcirculation was determined using a cutoff of MFR less than 2, and subclinically impaired microcirculation was determined using a cutoff of MFR less than 2.5.ResultsA total of 90 men (32 with current AAS use, 31 with former AAS use, and 27 controls) were included. Mean (SD) age was 35.1 (8.7) years. Elapsed duration since AAS cessation was a geometric mean of 1.5 (95% CI, 0.9-2.5) years. Eighteen men (58.1%) with former use discontinued AAS use more than 1 year before enrollment. Impaired MFR was present in those with current (6 [18.8%]) and former (1 [3.2%]) use, whereas no impairment was observed among the controls (P = .02). Subclinically impaired MFR was higher among men with current (9 [28.1%]) and former (8 [25.8%]) AAS use than the controls (1 [3.7%]) (P = .02). In a multivariable logistic regression model among men with former AAS use, every doubling of the accumulated weekly duration of AAS use (log2) was independently associated with a factor 2 increase in the risk of impaired MFR less than 2.5 (odds ratio, 2.1; 95% CI, 1.03-4.35; P = .04).Conclusions and relevanceIn this study, men with former AAS use displayed impaired MFR years after AAS cessation, suggesting impaired coronary microcirculation persists beyond active use.

Dataset Information

Random forest model to identify factors associated with anabolic-androgenic steroid use.

Background

Methods

Results

Discussion

Publications

Random forest model to identify factors associated with anabolic-androgenic steroid use.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets