ArticleAlcohol, clinical & experimental research2024
Transdermal alcohol concentration features predict alcohol-induced blackouts in college students.
Article in Alcohol, clinical & experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 9 citations in OpenAlex.
- Health goals, sex, and college enrollment: Impacts on young adult response to digital alcohol intervention.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026Trial
- The Drinking Dashboard for alcohol-induced blackout: A randomized pilot trial.Alcohol, clinical & experimental research · 2025Trial
- Daily-Level Drinking Motives as Predictors of Transdermal Alcohol Concentration and Alcohol-Induced Blackouts Among Young Adults.Alcohol, clinical & experimental research · 2026Article
- Day-level associations between protective behavioral strategies and alcohol consequences among young adults enrolled vs. not enrolled in college.Addiction (Abingdon, England) · 2026Observational
- High-Intensity Drinking Is Linked to Greater Same-Day Positive and Negative Consequences in Young Adults.Journal of studies on alcohol and drugs · 2026Article
- A theory-informed examination of biopsychosocial influences on transdermal alcohol concentration and next-day reports of alcohol-induced blackouts in young adults.Experimental and clinical psychopharmacology · 2026Article
- Contextual Moderators of the Relationship Between Alcohol-Induced Blackouts and Alcohol-Related Consequences Among Young Adults.Alcohol, clinical & experimental research · 2026Article
- Alcohol-Induced Blackouts and Subsequent Drinking Trajectories: Evidence From Three Longitudinal Samples.Alcohol, clinical & experimental research · 2026Article
- The Role of Fall Rate From Transdermal Alcohol Concentration on Alcohol-Related Consequences in College Students.Alcohol, clinical & experimental research · 2026Observational
- Pregaming promotes risky drinking patterns and alcohol-induced blackouts: A day-level study among young adults who report high-intensity drinking.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026Article
- Alcohol consumption dynamics and day-to-day experiences of alcohol-related problems: Combining transdermal alcohol concentration sensors and daily self-reports in young adults' natural settings.Experimental and clinical psychopharmacology · 2026Article
- Article
- Objective Assessment in Clinical Psychological Science: Progress in Wearable Alcohol Biosensors.Annual review of clinical psychology · 2026Review
- Daily-level associations between protective behavioral strategies, transdermal alcohol concentration, and alcohol-induced blackouts among young adults.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026Article
- Validation and measurement invariance of the Alcohol-Induced Blackout Measure-2 among noncollege young adults.Alcohol, clinical & experimental research · 2026Article
- Using Alcohol and Sleep Sensors to Understand Blackout Risk in Young Adults' Natural Settings (The Lights Out Study): Protocol for an Intensive Longitudinal Pilot Study.JMIR research protocols · 2026Article
- Common and unique latent transition analysis (CULTA) as a way to examine the trait-state dynamics of alcohol intoxication.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025Article
- Effects of nicotine-alcohol co-use on alcohol-induced blackouts and other alcohol-related consequences in college students.Psychopharmacology · 2025Article
- Development of an alcohol biosensor non-wear algorithm: laboratory-based machine learning and field-based deployment.Scientific reports · 2025Article
- Drinking intention-behavior links vary by affect among heavy-drinking young adults: An ecological momentary assessment and transdermal sensor study.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAlcohol-induced blackouts (AIBs) are common in college students. Individuals with AIBs also experience acute and chronic alcohol-related consequences. Research suggests that how students drink is an important predictor of AIBs. We used transdermal alcohol concentration (TAC) sensors to measure biomarkers of increasing alcohol intoxication (rise rate, peak, and rise duration) in a sample of college students. We hypothesized that the TAC biomarkers would be positively associated with AIBs.
methodsStudents were eligible to participate if they were aged 18-22 years, in their second or third year of college, reported drinking 4+ drinks on a typical Friday or Saturday, experienced ≥1 AIB in the past semester, owned an iPhone, and were willing to wear a sensor for 3 days each weekend. Students (N = 79, 55.7% female, 86.1% White, M
resultsDays with faster TAC rise rates (OR = 2.69, 95% CI: 1.56, 5.90), higher peak TACs (OR = 2.93, 95% CI: 1.64, 7.11), and longer rise TAC durations (OR = 4.16, 95% CI: 2.08, 10.62) were associated with greater odds of experiencing an AIB.
conclusionsIn a sample of "risky" drinking college students, three TAC drinking features identified as being related to rising intoxication independently predicted the risk for daily AIBs. Our findings suggest that considering how an individual drinks (assessed using TAC biomarkers), rather than quantity alone, is important for assessing risk and has implications for efforts to reduce risk. Not only is speed of intoxication important for predicting AIBs, but the height of the peak intoxication and the time spent reaching the peak are important predictors, each with different implications for prevention.
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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.