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Background: Alcohol‐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. Methods: Students 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, Mage = 20.1) wore TAC sensors and completed daily diaries over four consecutive weekends (89.9% completion rate). AIBs were assessed using the Alcohol‐Induced Blackout Measure‐2. Logistic multilevel models were conducted to test for main effects. Results: Days 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. Conclusions: In 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. [ABSTRACT FROM AUTHOR]

Frequent indoor tanning bed use is an established public health concern, yet research on tanning cessation interventions for frequent tanners is lacking. We describe the protocol for a brief, web-based tanning behavior change intervention and present evidence that it is acceptable and engaging to frequent indoor tanners. Lower tanning rates were not observed among participants receiving the intervention in a randomized controlled trial but participants’ interest in changing tanning increased. This intervention could be a useful approach to increasing frequent tanners’ interest in behavior change and openness to engaging within a more intensive, multi-component tanning cessation program. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study was to use a dual-process decision-making model to examine the longitudinal associations between alcohol-induced blackouts (blackouts) and alcohol use disorder (AUD) risk symptoms among college student drinkers., Method: Undergraduate drinkers ( N = 2,024; 56% female; 87% White; 5% Hispanic) at a large northeastern university completed online surveys each semester during their first (Time [T] 1, T2), second (T3, T4), third (T5, T6), and fourth (T7, T8) years of college (87% retention across the study). Path analyses were examined testing the longitudinal associations between T1 willingness to experience a blackout, T1 intentions to avoid a blackout, T2-T8 drinking, T2-T8 blackouts, and T8 AUD risk symptoms. Hypotheses 1 and 2 tested the associations between T1 willingness, T1 intentions, T2-T8 drinking, and T2-T8 blackouts. Hypothesis 3 tested the associations between T2-T8 drinking, T2-T8 blackouts, and T8 AUD risk symptoms., Results: Students experienced an average of 8 ( SD = 8) blackouts during college. Approximately 1,514 (88.8%) participants reported experiencing 1 of 8 AUD risk symptoms. T1 willingness was positively associated with T2-T8 blackouts. T2-T8 drinking and T2-T8 blackouts were positively associated with T8 AUD risk symptoms. T1 willingness significantly indirectly affected T8 AUD risk symptoms through its association with T2-T8 blackouts., Conclusions: Results estimated that, on average, college student drinkers experienced eight blackouts across 4 years of college, and 88% of participants reported experiencing at least one symptom of AUD in the last semester of college. Willingness to experience a blackout influenced students' AUD risk symptoms through the number of blackouts they experienced throughout college.