Key Points ▸ Approximately 37% of our sample engaged in at least one binge drinking episode of alcohol in the previous month. ▸ Approximately 26% of our sample consumed at least one energy drink in the previous month. ▸ While energy drink consumption had a significant direct correlation with
Leslie W. Oglesby, Andrew R. Gallucci, Anna K. Porter, and Ashlyne P. Elliott
Siobhan K. Fitzpatrick and Janine V. Olthuis
With two out of every five university students regularly engaging in binge drinking ( Wilsnack et al., 2018 ) and 14%–33% likely to qualify for an alcohol use disorder ( Wechsler et al., 2002 ), alcohol use is one of the most prevalent health risks among university students ( Hingson et al., 2005
Ashley Walker, Jody Langdon, and Krystina Johnson
Young adults have the highest participation in physical activity but also have the highest incidence rates of binge drinking, cigarette smoking, and smokeless tobacco use. We examined these factors to determine whether there are relationships among physical activity and health risk behaviors.
We conducted correlation and χ2 analyses using the American College Health Association-National College Health Assessment fall 2009 data set (N = 34,208) to examine the relationship among meeting physical-activity guidelines, binge drinking, and tobacco use among survey participants.
The data suggest a positive relationship between meeting physical-activity guidelines and binge drinking, with the strongest relationship between those reporting binge drinking 4 times in a 2-week period. Meeting physical-activity guidelines was negatively associated with cigarette use but positively associated with all other types of tobacco use.
Associations between physical activity and binge-drinking episodes indicate a need to address the relationship between heavy drinking and alcohol dependence and physical-activity behavior patterns. Further studies should examine relationships between physical activity and binge drinking in other age groups. Results also suggest the need to examine differing associations between physical activity and types of tobacco use.
Diana M. Doumas and Nadine R. Mastroleo
intervention with first-year intercollegiate athletes ( Doumas et al., 2010 ). Specifically, findings indicate that among student-athletes classified as high-risk drinkers (i.e., reporting binge drinking at baseline), those in the intervention group reported significantly greater reductions in weekly drinking
Jennifer R. Pharr, Mary Angela M. Terencio, and Timothy Bungum
and include being vaccinated for the flu, getting regular doctor checkups, being screened for human immunodeficiency virus (HIV), and using seat belts. Health risk behaviors were those behaviors deemed detrimental to one’s health. Examples of these were binge drinking (4 or more drinks for women or 5
Frank B. Butts
Martens, O’Connor, & Beck (2006) reported problematic drinking on college campuses to be a considerable concern and that athletes have more binge drinking episodes and alcohol-related problems than non-athlete students. Wechsler, Davenport, Dowdall, Grossman, & Zanakos (1997) reported that athletes in NCAA Division I have the most alcohol related issues as evidenced by 29% of male and 24% of female athletes reported binge drinking three or more times in a two week period. To address this concern, this study incorporated a 12-month, NCAA (2008) Choices alcohol responsibility program at a NCAA II university which involved peer mentoring, education, and alcohol-free activities. The results indicated a significant decline in binge drinking and associated problems among athletes after treatment.
Diana M. Doumas and Tonya Haustveit
This study evaluated the efficacy of a Web-based personalized feedback program aimed at reducing drinking in freshman intercollegiate athletes. The program was offered through the Athletic Department freshman seminar at a NCAA Division I university. Seminar sections were randomly assigned to one of two conditions: Web-based personalized feedback (WPF) or Web-based education (WE). Assessment measures were completed at baseline, 6 weeks, and 3 months. Athletes were classified as high-risk or low-risk drinkers based on baseline reports of binge drinking. Results indicated for high-risk athletes, students in the WPF condition reported significantly greater reductions in drinking and changes in beliefs about peer drinking than those in the WE condition. In addition, reductions in drinking were related to reductions in peer drinking estimates for athletes in the WPF group. Findings provide initial support for the efficacy of Web-based personalized feedback for reducing the quantity and frequency of heavy drinking in freshman intercollegiate athletes.
Jacob A. Jones
Self-concept theory was used as a theoretical basis to investigate the utility of social norms alcohol prevention programs for college athletes. The predictive relationship among alcohol use and athletic identity, competitiveness, drinking game participation, and level of sport participation was investigated. Drinking game participation was found to be a significant predictor of total weekly alcohol use above and beyond the other predictors. In addition, organized recreational sport participation was a significant predictor of total binge-drinking episodes. It was demonstrated that individuals not currently participating in sports with an athletic identity in the same range as current athletes consumed alcohol at similar rates to current athletes, thus supporting athletic identity as an alternative way of classifying athlete status when studying alcohol consumption patterns. These results highlight the importance of drinking game participation in the alcohol use of college athletes and the validity of applying self-concept theory to alcohol prevention programs.
Kerri McCaul, Joseph Baker, and John K. Yardley
Adolescence is characterized as a period of change and adaptation typically marked by a decline in physical activity participation and accompanied by an increase in substance use. The purpose of this study was to examine the relationships among the type (team and individual activity) and intensity (high, medium, and low intensity) of physical activity and substance use (tobacco, marijuana, and alcohol use, and binge drinking) in a sample of 738 adolescents. Results indicated differing relationships among study variables depending on the type and intensity of physical activity and the type of substance used For instance, a positive relationship was found for physical activity intensity and alcohol use, but negative relationships were found for physical activity and tobacco and marijuana use. Collectively, the results reveal that the relationships between physical activity type and intensity and substance use are more complex than previously believed.
Sunday Azagba and Mesbah Fathy Sharaf
In spite of the substantial benefits of physical activity for healthy aging, older adults are considered the most physically inactive segment of the Canadian population. This paper examines leisure-time physical inactivity (LTPA) and its correlates among older Canadian adults.
We use data from the Canadian Community Health Survey with 45,265 individuals aged 50–79 years. A logistic regression is estimated and separate regressions are performed for males and females.
About 50% of older Canadian adults are physically inactive. Higher odds of physical inactivity are found among current smokers (OR = 1.52, CI = 1.37–1.69), those who binge-drink (OR = 1.24, CI = 1.11–1.39), visible minorities (OR = 1.60, CI = 1.39–1.85), immigrants (OR = 1.13, CI = 1.02–1.25), individuals with high perceived life stress (OR = 1.48, CI = 1.31–1.66). We also find lower odds of physical inactivity among: males (OR = 0.89, CI = 0.83 to 0.96), those with strong social interaction (OR = 0.71, CI = 0.66–0.77), with general life satisfaction (OR = 0.66, CI = 0.58–0.76) and individuals with more education. Similar results are obtained from separate regressions for males and females.
Identifying the correlates of LTPA among older adults can inform useful intervention measures.