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Record W122029509

Energy Drink Cocktails: A Dangerous Combination for Athletes and Beyond

2010· article· en· W122029509 on OpenAlexaboutno aff
Conrad Woolsey

Bibliographic record

VenueJournal of alcohol and drug education · 2010
Typearticle
Languageen
FieldMedicine
TopicCoffee research and impacts
Canadian institutionsnot available
Fundersnot available
KeywordsBinge drinkingAlcoholAthletesPsychologyAlcohol abuseEnvironmental healthInjury preventionMedicinePoison controlPsychiatryPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT combined-use of alcohol and drinks (EDs) on college campuses and in communities has become a considerable public health concern. Among college students, intercollegiate athletes have been identified as being particularly at-risk for excessive alcohol consumption and resultant health and behavioral consequences. main purpose of this study was to measure patterns of alcohol, combined-use, and ED-only use among men and women student-athletes (N = 401; 257 male, 144 female), and to investigate whether or not significant differences existed within combined-users on risk-taking and consequences when comparing alcohol-only to the combined-use of alcohol and EDs. Among alcohol drinkers (n = 315), 92% participated in alcohol binge drinking and 150 (47. 6%) combined alcohol and EDs. Within combined-users, 68 of 107 males (63.6%) and 24 of 40 (60%) females reported participating in energy-binge drinking episodes (i.e., having 3 or more drinks on one occasion) when combining alcohol and EDs. When comparing alcohol-only use to combined-use within athletes who did both, results indicated that the combined-use of alcohol and EDs lead to a significant overall increase in reported risk-taking. There is a critical need to include more information about the effects of EDs and combined-use in existing substance abuse treatment and prevention programs. TERMINOLOGY Energy Drink (ED): An 8 ounce serving of drinks containing caffeine, taurine, B-vitamins, and other ingredients. Not coffee or drink simply high in caffeine. Energy-Binge: 3 or more EDs on one occasion--can be with or without alcohol. Combined-user: Used both alcohol and EDs together and alcohol-only on separate occasions. Alcohol-only use: Drinking only alcohol on that occasion and not consuming EDs. Since the introduction of Red Bull in the United States in 1997, the drink (ED) market has grown exponentially. ED sales have increased from an estimated $200 million in the U.S. in 2002 (Agriculture & Agri-Food Canada, 2008), to $5.4 billion in 2006 (Reissig, Strain, & Griffiths, 2009). To reduce alcohols' depressant effects people have mixed stimulants with alcohol for decades, and evidence suggests that this behavior is increasing due to the proliferation of drinks (Malinauskas, Aeby, Overton, Carpenter-Aeby, & Barber-Heidal, 2007; O'Brien, McCoy, Rhodes, Wagoner, & Wolfson, 2008). As witnessed by widespread use and positive athlete testimonials (e.g., 5-hour energy), EDs appear to be perceived as safe. However, EDs are unregulated by the Food and Drug Administration and have not been 'recognized as safe' (FDA, 2003). Power of Advertising Strategic advertising campaigns claiming improved performance, alertness, concentration, and mood have been influencing the increased use of EDs (Miller, 2008a; 2008b). To further promote increased use, college students are regularly given free samples during nightclub promotions or during times of increased stress such as finals week (Woolsey & Kensinger, 2009). objectives of these strategies are simple, give students free samples to get them using. Then, once they are hooked, charge high prices ($2-4 per can) and take full advantage of the addictive properties. Miller (2008c) suggested that ED companies exploit the 'jock identity' of athletes and use enticing marketing ploys to attract young people. Historically, ED advertising has targeted young males and glorified the risk-taking lifestyle (Miller, 2008a; 2008c). More recently however, companies have realized the tremendous sales growth potential of targeting women. For example, VPX Sports Nutrition (2010) created a product called Redline Princess in bright pink bottles with flavors such as peach mango. According to the VPX Redline Princess product description (2010), The biggest concern women seem to have with most energy products is that they don't want to feel totally jacked up! …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.825
Threshold uncertainty score0.185

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.324
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2010
Admission routes1
Has abstractyes

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