Risk Factors for Alcohol Abuse Among College Athletes

Jones, Jacob A.

doi:10.1123/jcsp.2015-0006

Cited by 6 publications

(4 citation statements)

References 71 publications

(215 reference statements)

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“…The unique schedules and stressors of athletes create divergent motives, age of first consumption, and patterns of alcohol consumption compared to their nonathlete peers (Martens, Dams-O’Connor, & Beck, 2006). Athletic participation has been linked with more frequent consumption, greater drinking quantity, more frequent heavy episodic drinking (HED), and the experience of alcohol-related consequences including alcohol-related injury (Cadigan et al, 2013; Fitzpatrick & Olthuis, 2021; Jones, 2015; Martens, Dams-O’Connor, & Beck, 2006; Mastroleo et al, 2013; Milroy et al, 2014; Parisi et al, 2019; Wetherill & Fromme, 2007; Zhou & Heim, 2014). These findings suggest that those who participate in competitive athletics may be at greater risk for developing AUD, making the collegiate athlete subpopulation a vital target of research within an already at-risk group.…”

mentioning

confidence: 99%

A longitudinal examination of relations between competitive athletic participation, drinking norms, impulsivity, and sensation seeking and binge drinking throughout college.

McNamara¹,

King²,

Corbin³

et al. 2022

Psychology of Addictive Behaviors

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Objective: College athletes are a high-risk group for heavy drinking and related risky behaviors and consequences. However, most prior work examining drinking behavior in college athletes has been cross-sectional. Drinking norms predict drinking among athletes, but other potential risk factors, including personality traits have received limited attention. Method: Using data from a large sample (n = 2,245) of college students, we examined athletic participation, high-risk personality traits (i.e., impulsivity, sensation seeking), and perceptions of peer drinking behavior (descriptive and injunctive norms) as predictors of binge drinking from prior to college entry through 2 years postcollege. Negative binomial latent growth models were used to examine these predictors of patterns of drinking across the college years. Results: Binge drinking increased through the first 3 years of college before leveling off and decreasing postcollege. Controlling for significant effects of sensation seeking and perceptions of peer attitudes and drinking behaviors, athletic participation at T1 was associated with greater binge drinking at matriculation and greater athletic participation was associated with greater risk across the college years. Normative perceptions and sensation seeking also predicted concurrent drinking in Year 4 of college and impulsivity emerged as an additional predictor. Sensation seeking emerged as a significant predictor of greater postcollege binge drinking. Athletic participation in Year 4 of college indicated no significant risk for greater binge drinking during Year 4 or following graduation. Conclusions: Early participation in competitive athletics was associated with risk for binge drinking, even when accounting for several social and personality factors. Future studies using momentary assessment may be fruitful for identifying within-subject pathways of risk, including athlete specific factors.

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confidence: 99%

A longitudinal examination of relations between competitive athletic participation, drinking norms, impulsivity, and sensation seeking and binge drinking throughout college.

McNamara¹,

King²,

Corbin³

et al. 2022

Psychology of Addictive Behaviors

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“…A drinking game (DG) is a social drinking activity that requires participants to perform a mental and/or motor task and consists of rules designed to get players drunk (Zamboanga et al, 2013). Participation in DGs can contribute to college students' and student-athletes' risk for heavy alcohol consumption and negative alcohol-related outcomes (Grossbard et al, 2007;Hummer et al, 2011;Jones, 2015;Zamboanga et al, 2008; for reviews, see Kenney et al, 2017;Zamboanga et al, 2014). Although DG participation has been linked to a number of problematic health outcomes (e.g., blackouts, sexual victimization/perpetration; Zamboanga et al, 2014), young adults' awareness of the health hazards associated with heavy drinking does not seem to influence their decision to participate (Polizzotto et al, 2007).…”

Section: Drinking Gamesmentioning

confidence: 99%

Secondary effects of myPlaybook on college athletes’ avoidance of drinking games or pregaming as a protective behavior strategy: A multisite randomized controlled study

Zamboanga

Merrill

Olthuis

et al. 2019

Social Science & Medicine

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Rationale-Student-athletes are at risk for engaging in drinking games and pregaming. Research suggests that brief motivational and alcohol education intervention approaches designed to reduce harmful drinking behaviors may not be effective in lowering students' participation in drinking games or pregaming. Method-We evaluated the effects of myPlaybook (a student-athlete-specific web-based alcohol intervention) on student-athletes' avoidance of drinking games and pregaming over a 4-month period. Seventy-three NCAA member institutions were randomly assigned to the treatment condition or a no-intervention control. Student-athletes at these schools (N = 2449) completed assessments at baseline, 1-, and 4-months post-intervention. At each assessment, participants indicated how often they used each of several harm prevention strategies when they drank in the past month including "avoided drinking games" and "avoided drinking before going out (i.e., pregaming or pre-drinking)." Results-Controlling for gender and race/ethnicity, treatment condition was not associated with change in avoidance of drinking games and pregaming between baseline and either follow-up. Athletic season did not moderate treatment effects on avoidance of either behavior. We found no evidence that myPlaybook, a general alcohol-reduction intervention, is efficacious in influencing student-athletes' avoidance of drinking games or pregaming as a protective strategy. Conclusions-Findings from the present study as well as other research suggest that general alcohol-focused interventions may not have secondary effects on reducing students' participation in drinking games and pregaming and as such, more specific targeted interventions should be investigated.

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“…Furthermore, a number of researchers found that distress is linked to dismal academic performance, absconding as well as low rate of graduation (Wang, 2005). Nonetheless University students suffer from different kinds of stressors during the educational experiences (Ndegwa et al, 2017). Universities are at a higher risk of increased stress (Wanyoike, 2015).…”

Section: Introductionmentioning

confidence: 99%

Gender and Age Differences in Perceived Stress among Students in a Selected Public University in Kenya

Michael Mbiriri

2022

Kabarak j. res. innov.

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The study aimed to unveil gender and age differences in the perceived stress levels of undergraduate students in the psychology department at a public university in western Kenya. The researcher applied a descriptive survey as the research design. A quantitative method was used to collect the data. Data were obtained from a questionnaire and Perceived stress scale inventory (PSS). The data collection tool consisted of three sections: Demographic profile of the participants was incorporated in section A; Section B consisted of Perceived stress scale inventory (PSS) which was developed by Sheldon Cohen in 1988. A perceived stress scale was used to capture the level of perceived stress in an individual. The perceived stress scale measures the degree to which situations in one’s life are appraised as stressful. Perceived stress is psychological as opposed to physiological indicators of stress. Section C contained the cluster of causes of stress. It consisted of four dimensions of stress sources: financial, academic, interpersonal, and intrapersonal relationship. Respondents were required to choose appropriate scores for the four clusters of the generation of stress. Data were purposively collected from all the thirty-three psychology department students with a mean age of 21years. The result obtained showed different causes of stress among respondents. Perceived stress levels were grouped into four: Interpersonal, Intrapersonal, Academic, and Financial sources. The results of the data analysis showed significant differences between the stress mean scores of male and female students. Stress was found to be an issue among undergraduate students that should be of clinical concern for psychotherapists. Female students reported higher perceived stress levels (86%) than their male counterparts (55%). The findings of this study will help mental health practitioners to develop interventions that will address the psychological needs of the students based on their gender

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Risk Factors for Alcohol Abuse Among College Athletes

Cited by 6 publications

References 71 publications

A longitudinal examination of relations between competitive athletic participation, drinking norms, impulsivity, and sensation seeking and binge drinking throughout college.

A longitudinal examination of relations between competitive athletic participation, drinking norms, impulsivity, and sensation seeking and binge drinking throughout college.

Secondary effects of myPlaybook on college athletes’ avoidance of drinking games or pregaming as a protective behavior strategy: A multisite randomized controlled study

Gender and Age Differences in Perceived Stress among Students in a Selected Public University in Kenya

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