ArticleDrug and alcohol dependence2017
Trajectories of energy drink consumption and subsequent drug use during young adulthood.
Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 38 citations in OpenAlex.
- The effect of caffeine use in the relationship between gaming and sleep in adolescents: A mediation analysis.Journal of behavioral addictions · 2025Article
- Gaming disorder and problematic caffeine consumption in adolescents: a narrative review and public health framework.Frontiers in psychology · 2025Review
- Demographic and behavioural correlates of energy drink consumption.Public health nutrition · 2023Article
- A content analysis of sports and energy drink advertising.Appetite · 2022Article
- International society of sports nutrition position stand: caffeine and exercise performance.Journal of the International Society of Sports Nutrition · 2021Review
- Longitudinal Associations Between Energy Drink Consumption, Health, and Norm-Breaking Behavior Among Swedish Adolescents.Frontiers in public health · 2021Article
- Caffeinated energy drinks: adverse event reports to the US Food and Drug Administration and the National Poison Data System, 2008 to 2015.Public health nutrition · 2019Article
- Effects of adolescent caffeine consumption on cocaine self-administration and reinstatement of cocaine seeking.Journal of psychopharmacology (Oxford, England) · 2018Article
- Impact of Energy Drinks on Health and Well-being.Current nutrition reports · 2018Review
- Compassion fatigue and substance use among nurses.Annals of general psychiatry · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundHighly caffeinated energy drinks (EDs) are popular with adolescents and young adults, but longitudinal consumption patterns are poorly understood especially in relation to other substance use.
methodsED and other substance use were assessed annually (modal ages 21-25) among a sample (n=1099) who were originally recruited as first-year college students (modal age 18). Trajectory groups were derived based on probability of past-year use during ages 21-24, and compared for possible differences in substance use outcomes at age 25, holding constant demographics, sensation-seeking, other caffeine consumption, and age 21 substance use.
resultsFrom age 21-25, ED consumption declined in both annual prevalence [62.5%
conclusionsThe typical pattern of ED consumption among this sample was sustained use throughout young adulthood. Such individuals appear to be at high risk for adverse substance use outcomes, and results suggest possible specificity regarding cocaine use and NPS, and AUD risk. More research is needed to understand the mechanisms underlying the connection between ED and substance use.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.