Risky behaviors, substance use, and other lifestyle correlates of energy drink consumption in children and adolescents: a systematic review

Author(s):  
Michela Marinoni ◽  
Maria Parpinel ◽  
Alessio Gasparini ◽  
Monica Ferraroni ◽  
Valeria Edefonti
2021 ◽  
Vol 219 ◽  
pp. 108470
Author(s):  
Naonori Yasuma ◽  
Kotaro Imamura ◽  
Kazuhiro Watanabe ◽  
Daisuke Nishi ◽  
Norito Kawakami ◽  
...  

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1449-1449
Author(s):  
Andre Markon ◽  
Jorge E Chavarro ◽  
Ming Ding ◽  
Beverly Wolpert

Abstract Objectives This study assessed energy drink consumption and high-risk behaviors, including alcohol and drug use, cross-sectionally among participants in three cohort studies—the Nurses’ Health Study 3 (NHS 3), the Growing Up Today Study (GUTS) and GUTS2. Methods Questionnaires, including validated food-frequency questionnaires (FFQs), collected participant demographics, risky behavior, and energy drink consumption data. [The specific question used for energy drink intake read as follows: “Do you drink energy drinks, e.g., Red Bull, Rock Star, Monster (8 oz. can)?” for NHS3, 2010–2019; GUTS, 2011; and GUTS2, 2011.] Following descriptive analysis, multivariable-adjusted logistic regression estimated associations between energy drink consumption and odds of risky behaviors, including pooled odds-ratios (pORs) across all cohorts. Results Of the 46,390 participants this study assessed, ∼13% reported energy drink consumption at least monthly. Risky behaviors associated with energy drink consumption included smoking [pOR: 1.88 (95% CI 1.55–2.29)], having higher body mass index [pORs: 1.31 (95% CI 1.11–1.53) for overweight (25–30 kg/m2) and 1.67 (95% CI 1.34–2.08) for obesity (≥30 kg/m2) compared to <25 kg/m2, respectively], insufficient sleep [pOR: 1.29 (95% CI 1.11–1.50) for <7 hours compared to 7–9 hours], tanning bed use [pOR: 2.31 (95% CI 1.96–2.72)], binge drinking [pOR: 2.53 (95% CI 2.09–3.07)], marijuana use [pOR: 1.49 (95% CI 1.28–1.73)], and use of any illegal drugs (other than marijuana) [pOR: 1.45 (95% CI 1.16–1.81)]. Demographic factors associated with consumption of energy drinks included higher education, which was associated with lower odds of energy drink consumption [pORs: 0.71 (95% CI 0.56–0.91) for bachelor's degree and 0.55 (95% CI 0.40–0.74) for master's degree, compared to no bachelor's degree, respectively], and race/ethnicity [pOR: 4.43 (95% CI: 2.41–8.15) comparing African Americans to non-Hispanic white]. Conclusions Both within and across the cohorts, risky behaviors were associated with higher odds of energy drink consumption. Funding Sources This study was funded via FDA contracts and NIH grants.


2020 ◽  
pp. 194173812094918
Author(s):  
Ibrahim M. Nadeem ◽  
Ajaykumar Shanmugaraj ◽  
Seaher Sakha ◽  
Nolan S. Horner ◽  
Olufemi R. Ayeni ◽  
...  

Context: Energy drinks are the fastest growing product in the beverage industry. However, there is concern regarding potential for adverse effects with use. Objective: To evaluate the reported adverse effects of energy drink consumption. Data Sources: The electronic databases MEDLINE, EMBASE, and PubMed were searched for relevant studies from inception to November 2019, and pertinent data were abstracted. Study Selection: Only clinical studies reporting adverse events after energy drink consumption were included. Study Design: Systematic review. Level of Evidence: Level 4. Data Extraction: Data regarding sample size characteristics, energy drink characteristics, comparators, and all adverse events were extracted in duplicate and recorded. Results: A total of 32 studies and 96,549 individuals were included. Frequently reported adverse events in the pediatric population were insomnia (35.4%), stress (35.4%), and depressive mood (23.1%). Frequently reported adverse events in the adult population were insomnia (24.7%), jitteriness/restlessness/shaking hands (29.8%), and gastrointestinal upset (21.6%). Alcohol mixed with energy drinks significantly reduced the likelihood of sedation effects but increased the likelihood of stimulatory effects. Energy drink consumption significantly increased the odds of insomnia (OR, 5.02; 95% CI, 1.72-14.63) and jitteriness/activeness (OR, 3.52; 95% CI, 1.28-9.67) compared with the control group. Conclusion: The authors recommend that individuals avoid frequent energy drink consumption (5-7 energy drinks/week) and avoid co-consumption with alcohol; increased regulatory standards should be placed in the sale of energy drinks, particularly with regard to the pediatric population.


2015 ◽  
Vol 18 (15) ◽  
pp. 2794-2803 ◽  
Author(s):  
Nicole Larson ◽  
Melissa N Laska ◽  
Mary Story ◽  
Dianne Neumark-Sztainer

AbstractObjectiveNational data for the USA show increases in sports and energy drink consumption over the past decade with the largest increases among young adults aged 20–34 years. The present study aimed to identify sociodemographic factors and health-risk behaviours associated with sports and energy drink consumption among young adults.DesignCross-sectional analysis of survey data from the third wave of a cohort study (Project EAT-III: Eating and Activity in Teens and Young Adults). Regression models stratified on gender and adjusted for sociodemographic characteristics were used to examine associations of sports and energy drink consumption with eating behaviours, physical activity, media use, weight-control behaviours, sleep patterns and substance use.SettingParticipants completed baseline surveys in 1998–1999 as students at public secondary schools in Minneapolis/St. Paul, Minnesota, USA and the EAT-III surveys online or by mail in 2008–2009.SubjectsThe sample consisted of 2287 participants (55 % female, mean age 25·3 years).ResultsResults showed 31·0 % of young adults consumed sports drinks and 18·8 % consumed energy drinks at least weekly. Among men and women, sports drink consumption was associated with higher sugar-sweetened soda and fruit juice intake, video game use and use of muscle-enhancing substances like creatine (P≤0·01). Energy drink consumption was associated with lower breakfast frequency and higher sugar-sweetened soda intake, video game use, use of unhealthy weight-control behaviours, trouble sleeping and substance use among men and women (P<0·05).ConclusionsHealth professionals should consider the clustering of sports and energy drink consumption with other unhealthy behaviours in the design of programmes and services for young adults.


2016 ◽  
Vol 3 ◽  
pp. 279-282 ◽  
Author(s):  
Michael J. Mann ◽  
Megan L. Smith ◽  
Alfgeir L. Kristjansson

2018 ◽  
Author(s):  
Máté Kapitány-Fövény ◽  
Eszter Vagdalt ◽  
Zsófia Ruttkay ◽  
Róbert Urbán ◽  
Mara J Richman ◽  
...  

BACKGROUND In recent years, drug prevention networks and drug education programs have started using Web-based or mobile phone apps as novel prevention tools, testing their efficacy compared with face-to-face prevention. OBJECTIVE The aim of this study was to assess the potential of an interactive app called Once Upon a High (VoltEgySzer). METHODS The app approaches drug prevention from 6 different aspects, and it addresses youngsters with 6 different modules: (1) interactive comics/cartoons, telling stories of recovery; (2) quiz game; (3) roleplay game; (4) introduction of psychoactive drugs; (5) information on the somatic and psychological effects of psychoactive substances; (6) list of available treatment units, rehabs, and self-support groups in Hungary. Students of 2 vocational schools and 2 high schools filled out a questionnaire at a baseline (T0) and a 2-month follow-up (T1) data collection session. Students of 1 vocational school and 1 high school downloaded the Once Upon a High app (app group), whereas students from the other vocational school and high school did not (nonapp group). The time points of T0 and T1 questionnaires contained demographic variables, items with regard to substance use characteristics for both legal and illegal substances, including novel psychoactive substance, exercise habits, knowledge about psychoactive substances, attitudes toward substance users and validated instruments measuring the severity of tobacco (Fagerström Test for Nicotine Dependence), alcohol (Alcohol Use Disorder Identification Test), cannabis (Cannabis Abuse Screening Test), and synthetic cannabinoid consumption. Beliefs about substance use (Beliefs About Substance Abuse) and perceived self-efficacy (General Perceived Self-Efficacy) were also measured. At T1, members of the app group provided additional evaluation of the app. RESULTS There were 386 students who participated in the T0 session. After dropout, 246 students took part in T1 data collection procedure. Alcohol was the most frequently consumed psychoactive substance (334/364, 91.8% lifetime use), followed by tobacco (252/386, 65.3%, lifetime use) and cannabis (43/323, 13.3% lifetime use). Decreased self-efficacy (beta=−.29, P=.04) and increased daily physical exercise frequencies (beta=.04, P<.001) predicted higher frequencies of past month energy drink consumption, whereas elevated past month alcohol consumption was mainly predicted by a decrease in negative attitudes toward substance users (beta=−.13, P=.04) in the regression models. Once Upon a High was found to be effective only in reducing energy drink consumption (beta=−1.13, P=.04) after controlling for design effect, whereas perceived utility of the app showed correlation with a decreasing alcohol use (rS(44)=.32, P=.03). The roleplay module of the app was found to be the most preferred aspect of the app by the respondents. CONCLUSIONS The Once Upon a High app can be a useful tool to assist preventive intervention programs by increasing knowledge and self-efficacy; however, its efficacy in reducing or preventing substance use needs to be improved and further studied. Additional potential impacts of the app need further testing.


Author(s):  
Hugues Sampasa-Kanyinga ◽  
Lydie Masengo ◽  
Hayley A. Hamilton ◽  
Jean-Philippe Chaput

This study examined the association between energy drink consumption and substance use among adolescents and tested whether sex and/or grade level (i.e., middle vs. high school) moderate the association. Data were derived from the 2017 Ontario Student Drug Use and Health Survey, a representative survey of students in 7th to 12th grade. Analyses included 10,662 students who self-reported information on energy drink consumption and substance use. Poisson regression models were used with adjustments for important covariates. Energy drink consumption was associated with tobacco cigarette smoking (incidence rate ratio (IRR): 3.74; 95% confidence interval (CI): 3.22–4.35), cannabis use (IRR: 2.90; 95% CI: 2.53–3.32), binge drinking (IRR: 2.46; 95% CI: 2.05–2.96), opioid use (IRR: 2.23; 95% CI: 1.85–2.68), and alcohol use (IRR: 1.31; 95% CI: 1.26–1.36). The associations of energy drink consumption with tobacco cigarette smoking, cannabis use, and alcohol consumption were modified by grade level (two-way interaction terms p < 0.05). The association between energy drink consumption and substance use was generally much stronger among middle school students compared with high school students. The findings suggest that middle school students may be more vulnerable to the negative effects of energy drinks in relation with substance use.


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