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用于识别与合成代谢雄激素类固醇使用相关因素的随机森林模型。

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

作者信息

Manoochehri Zohreh, Barati Majid, Faradmal Javad, Manoochehri Sara

机构信息

Department of Biostatistics, Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran.

Department of Public Health, School of Health, Autism Spectrum Disorders Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.

出版信息

BMC Sports Sci Med Rehabil. 2021 Mar 23;13(1):30. doi: 10.1186/s13102-021-00257-5.

DOI:10.1186/s13102-021-00257-5
PMID:33757585
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7988984/
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.

摘要

背景

健身者常用的一种兴奋剂类型是雄激素-合成代谢类固醇(AAS)。使用AAS除了违反体育道德外,还会对身心健康状况产生严重后果。本研究旨在通过原型意愿模型(PWM)确定健身者使用AAS的最重要因素。

方法

在这项分析性横断面研究中,2016年采用多阶段抽样从哈马丹市的健身俱乐部中选取了280名男性健身者。然后使用一份由人口统计学信息和PWM构建块组成的自填式问卷收集数据,并应用随机森林模型分析所收集的数据。

结果

行为意愿、态度和既往AAS使用情况被发现是决定行为意图的最重要因素。此外,主观规范、态度、体重指数和原型是对预测AAS使用行为意愿影响最大的因素。同样,在预测AAS使用方面,行为意图被观察到比行为意愿更重要。

讨论

获得的结果表明,与社会反应路径相比,理性行动路径对预测健身者使用AAS的影响更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/7988984/9053d499ac7b/13102_2021_257_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/7988984/c1ed130c3b7e/13102_2021_257_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/7988984/ecf2e664818a/13102_2021_257_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/7988984/e838a2e88767/13102_2021_257_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/7988984/7ef0d806657c/13102_2021_257_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/7988984/9053d499ac7b/13102_2021_257_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/7988984/c1ed130c3b7e/13102_2021_257_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/7988984/ecf2e664818a/13102_2021_257_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/7988984/e838a2e88767/13102_2021_257_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/7988984/7ef0d806657c/13102_2021_257_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c8/7988984/9053d499ac7b/13102_2021_257_Fig5_HTML.jpg

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