Substance use and other health risk behaviors in collegiate athletes

Substance use and other health risk behaviors in collegiate athletes
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DOI:
10.1097/00042752-199607000-00008
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发表时间:
1996-07-01
影响因子:
2.7
通讯作者:
Landry, GL
Landry, GL
中科院分区:
医学3区
文献类型:
--
作者:
Kokotailo, PK;Henry, BC;Landry, GL

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目的:(A)确定普通大学人群中酒精和其他药物使用的流行率,以及健康危险行为;设计:多种健康风险行为的描述性调查,包括身体、心理健康、酒精和其他药物,以及性风险。背景:两所中西部的大型大学。参与者:对1210名合格学生(271名运动员和775名非运动员同龄人)的86%的方便抽样,在团队会议或课堂上完成了一份自填的匿名问卷。干预:没有。主要结果指标:使用Cochran-Mantel-Haenszel统计方法评估性别和运动员状态之间的差异,通过问卷回答确定以下变量:身体风险,心理健康,结果:在整个大学生样本中,常见的危险行为包括与酒后驾车的司机一起乘车,酒后驾车和游泳,酗酒,以及所有类型的性行为中安全套使用率低。冒险行为因性别而异,除自杀和性行为外,男性比女性表现出更多的危险行为。男性运动员的危险行为发生率高于非运动员男性运动员,而女性运动员的危险行为发生率低于非运动员女性运动员。结论:与以往的研究不同,本研究结果表明,当结果按性别分层时,并不是所有运动员都比非运动员运动员更频繁地从事高危行为。结果表明,降低风险的教育和早期干预策略可能需要根据性别和运动状况量身定做。
Objectives: To (a) determine the prevalence of alcohol and other drug use, and health risk behaviors among a general university population; and (b) compare health risk-taking behaviors between genders, and varsity athletes and their non-athlete peers.Design: Descriptive survey of multiple health risk behaviors, including physical, mental health, alcohol and other drug, and sexual risk taking.Setting: Two large midwestern universities.Participants: A convenience sample of 86% of 1,210 eligible students (271 athletes and 775 nonathlete peers) completed a self-administered, anonymous questionnaire during team meetings or class sessions.Intervention: None.Main Outcome Measures: Differences between gender and athlete status were assessed using Cochran-Mantel-Haenszel statistics for the following variables, deter mined by questionnaire responses: physical risk, mental health, alcohol and other drug use, and sexual behaviors.Results: Common risk behaviors in the entire collegiate sample included riding in a car with a driver who was under the influence of alcohol, driving and swimming under the influence of alcohol, binge drinking, and low rate of condom use for all types of sexual intercourse. Risk-taking behaviors varied by gender, with men showing more risk behaviors than women, except for suicide and sexual behaviors. Male athletes had a higher prevalence of risk behaviors than their male nonathlete counterparts, in contrast to female athletes, who had fewer risk behaviors than their female nonathlete counterparts.Conclusion: In contrast to previous studies, results of the present study show, when results are stratified by gender, that not all athletes engage more frequently than nonathletes in high risk behaviors. Results suggest that educational and early intervention strategies to decrease risk may need to be tailored according to gender and athletic status.