Long-term impact of familismo and ethnic identity on latinx college student drinking and high-risk consequences.

Familismo, ethnic pride, and ethnic shame were examined as longitudinal predictors of Latinx college student alcohol use and high-risk alcohol-related consequences. Latinx students completed measures during the fall of their first (T1), second (T2), and fourth (T4) year of college. T1 familismo was positively associated with T2 ethnic pride and negatively associated with T2 ethnic shame. T2 ethnic pride was negatively associated with T4 drinking, while T2 ethnic shame was positively associated with T4 drinking. T4 drinking was positively associated with T4 consequences. Results suggest that Latinx ethnic pride and ethnic shame during the second-year of college act as mediators between first-year familismo and fourth-year drinking and consequences.

Transdermal sensor features correlate with ecological momentary assessment drinking reports and predict alcohol-related consequences in young adults' natural settings.

BACKGROUND: Wearable transdermal alcohol concentration (TAC) sensors allow passive monitoring of alcohol concentration in natural settings and measurement of multiple features from drinking episodes, including peak intoxication level, speed of intoxication (absorption rate) and elimination, and duration. These passively collected features extend commonly used self-reported drink counts and may facilitate the prediction of alcohol-related consequences in natural settings, aiding risk stratification and prevention efforts. METHOD: A total of 222 young adults aged 21-29 (M age = 22.3, 64% female, 79% non-Hispanic white, 84% undergraduates) who regularly drink heavily participated in a 5-day study that included the ecological momentary assessment (EMA) of alcohol consumption (daily morning reports and participant-initiated episodic EMA sequences) and the wearing of TAC sensors (SCRAM-CAM anklets). The analytic sample contained 218 participants and 1274 days (including 554 self-reported drinking days). Five features-area under the curve (AUC), peak TAC, rise rate (rate of absorption), fall rate (rate of elimination), and duration-were extracted from TAC-positive trajectories for each drinking day. Day- and person-level associations of TAC features with drink counts (morning and episodic EMA) and alcohol-related consequences were tested using multilevel modeling. RESULTS: TAC features were strongly associated with morning drink reports (r = 0.6-0.7) but only moderately associated with episodic EMA drink counts (r = 0.3-0.5) at both day and person levels. Higher peaks, larger AUCs, faster rise rates, and faster fall rates were significantly predictive of day-level alcohol-related consequences after adjusting for both morning and episodic EMA drink counts in separate models. Person means of TAC features added little above daily scores to the prediction of alcohol-related consequences. CONCLUSIONS: These results support the utility of TAC sensors in studies of alcohol misuse among young adults in natural settings and outline the specific TAC features that contribute to the day-level prediction of alcohol-related consequences. TAC sensors provide a passive option for obtaining valid and unique information predictive of drinking risk in natural settings.

Subjective intoxication predicts alcohol-related consequences at equivalent alcohol concentrations in young adults using ecological momentary assessment and alcohol sensors.

OBJECTIVE: Subjective intoxication (SI) when drinking may serve as an internal barometer of whether to continue drinking or engage in potentially unsafe behavior. Mobile assessments offer the potential to use SI as a prospective risk indicator during drinking episodes; little evidence exists for the validity of real-time SI measures. We test the correspondence of SI with estimated blood alcohol concentration and transdermal alcohol concentration (TAC) in young adults' natural settings. We provide a novel test of whether SI features (peak and mean SI) uniquely predict consequences adjusting for alcohol concentration. METHOD: Two hundred twenty-two heavy-drinking young adults (Mage = 22.3, 64% female, 79% non-Hispanic White, 84% undergraduates) participated in a 6-day study that used ecological momentary assessment of drinking and TAC sensors. SI was assessed every 30 min during drinking episodes. Multilevel modeling was used to test hypotheses. RESULTS: Momentary SI and estimated blood alcohol concentration had moderate associations at the moment and day levels (standardized ßs = 0.5-0.6); SI was moderately associated with TAC at the day level (ßs = 0.5). Associations between SI and alcohol concentration varied widely between persons and across days. Day-level SI features predicted consequences when adjusting for alcohol concentration (incidence rate ratios, IRRs = 1.29-1.70). CONCLUSIONS: Our two-item SI measure shows evidence of validity in real-world settings with heavy-drinking young adults. SI was significantly correlated with alcohol concentration and was a unique predictor of consequences. The strength of these associations varied greatly across persons and days. Real-time SI measurement may be useful in preventive interventions, but continued research is needed into when and for whom momentary SI is most predictive of risk. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A Dual-Process Decision-Making Model Examining the Longitudinal Associations Between Alcohol-Induced Blackouts and Alcohol Use Disorder Risk Among College Student Drinkers.

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.

Transdermal alcohol concentration features predict alcohol-induced blackouts in college students.

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.

Does it really matter that I do not remember my night? Consequences related to blacking out among college student drinkers.

BACKGROUND: Alcohol-induced blackouts (AIBs) are experienced frequently by college student drinkers and are more likely to occur on days with high-intensity drinking (HID; 8+ for females/10+ for males) than non-HID days. Research suggests that AIBs are associated with experiencing other alcohol-related consequences (ARCs), including more serious ARCs (SARCs; e.g., legal and sexual consequences), but we do not know whether individuals experience more ARCs and more SARCs on occasions when they black out than when they do not black out. This study examines the associations between AIBs and the total number of both ARCs and SARCs. METHODS: Students (N = 462, 51.7% female, 87.7% White, Mage = 20.1) were assessed across 6 weekends via e-surveys (80%-97% response rate). Multilevel models were used to test for main effects, controlling for drinking (HID or estimated blood alcohol concentration; eBAC) and sex. RESULTS: Drinking days when an AIB was experienced were associated with more total ARCs (b = 3.54, 95% CI: 3.10, 3.99) and more SARCs (b = 0.77, 95% CI: 0.60, 0.95) per day than non-AIB days. The more frequently a person experienced an AIB, the more total ARCs (b = 5.33, 95% CI: 4.40, 6.25) and SARCs (1.05, 95% CI: 0.80, 1.30) they reported on average. CONCLUSION: Alcohol-induced blackout days were associated with higher levels of harm than non-AIB days, even at the same levels of drinking. Interventions that focus on reducing the occurrence of AIBs and factors that contribute to them, in addition to reducing alcohol consumption, may help reduce total harm associated with drinking among college students.

Alcohol-induced blackouts among college student drinkers: A multilevel analysis.

OBJECTIVE: To identify factors (manner of drinking, combined alcohol and other substance use, physiology) that are associated with alcohol-induced blackouts (AIBs) over and above estimated blood alcohol concentration (eBAC). METHODS: Students (N = 462, 51.7 % female, 87.7 % White, Mage = 20.1) were assessed across 6 weekends via e-surveys (80-97 % response rate). eBAC was calculated using standard number of drinks, drinking duration, sex, and weight. Three-level multilevel models (days, weeks, persons) were conducted to test for main effects, controlling for eBAC. RESULTS: Protective behavioral strategies (PBS) were associated with decreased odds of AIBs on the daily (OR = 0.64, 95 % CI: 0.53, 0.77), weekly (OR = 0.84, 95 % CI: 0.72, 0.98), and person-levels (OR = 0.62, 95 % CI: 0.51, 0.74). Combined cannabis with alcohol was associated with increased odds of AIBs on the weekly (OR = 2.13, 95 % CI 1.13, 4.07) and person-levels (OR = 3.56, 95 % CI 1.60, 7.93). People who more frequently played drinking games (OR = 1.41, 95 % CI: 1.12, 1.77), pregamed (OR = 1.55, 95 % CI: 1.19, 2.03), and showed higher tolerance (OR = 1.22, 95 % CI: 1.08, 1.37) showed increased risk of AIBs, over and above eBAC levels. CONCLUSION: We identified a number of daily-, weekly-, and person-level factors that uniquely contribute to the prediction of AIBs even at equivalent eBACs. Many of these factors were behavioral, suggesting that they may serve as malleable prevention targets for AIBs in college student drinkers.

Examining parental permissiveness toward drinking and perceived ethnic discrimination as risk factors for drinking outcomes among Latinx college students.

BACKGROUND: Despite almost 1 in 5 college students being Latinx, research examining risk factors for college alcohol misuse and consequences to inform prevention efforts for Latinx is limited. The current study attempts to address a health disparity among Latinx college students by examining the effects of parental permissiveness of underage drinking and perceived ethnic discrimination on drinking outcomes. METHODS: Latinx students from three large and geographically diverse public universities (N = 215; 73% female) completed measures during the fall of their first (T1) and second (T2) years. Analyses used moderated regression with bootstrapping to obtain asymmetrical 95% confidence intervals. Parental permissiveness of underage drinking and perceived ethnic discrimination were assessed as predictors at T1. Drinking outcomes were assessed at T2 as typical weekly drinking, peak blood alcohol content (BAC), and alcohol-related consequences. RESULTS: T1 permissiveness was significantly positively associated with T2 peak BAC. T1 discrimination significantly moderated the association between T1 permissiveness and T2 peak BAC as well as T2 consequences. The effects of T1 permissiveness on T2 peak BAC and T2 consequences were stronger among Latinx who experienced above-average levels of T1 discrimination. CONCLUSIONS: Results suggest that among Latinx parental permissiveness of underage drinking and perceived ethnic discrimination are risk factors for peak BAC and alcohol-related consequences. The positive associations between parental permissiveness and peak BAC/consequences were stronger among Latinx students who experienced high levels of ethnic discrimination. Efforts to address these risk factors in future culturally sensitive parent-based interventions for Latinx college students are warranted.

Motivations to combine alcohol and nicotine in college students: A validation of the Alcohol and Nicotine Motives Scale.

INTRODUCTION: Research on combining alcohol and nicotine (ALCNIC) has shown this risky behavior results in significantly more consequences than using either alcohol or nicotine alone. No measures currently exist to assess ALCNIC motives limiting intervention and prevention efforts. The present study developed a psychometrically sound and multidimensional measure of ALCNIC motives (the ANMS). METHODS: An initial item pool of ALCNIC items was developed from literature on college student drinking, focus groups, and individual interviews. Study 1 involved students from a northeastern university who completed an online survey on the ALCNIC items (N = 55; 57.1% female; Mage = 20.3). Analysis focused on reliability (exploratory factor analysis). Study 2 involved a cross-validation national sample of college students (N = 336; 49.7% female; Mage = 21.2) completing the same survey items. Confirmatory factor analysis, criterion-related validity (ALCNIC/weekend drinking), and discriminant validity (social desirability) were assessed using structural equation modeling. RESULTS: Results across two studies revealed three factors to engage in ALCNIC: antagonistic (party longer), synergistic (enhanced effects), and social (peer pressure); and one factor to avoid ALCNIC: negative effects (feeling anxious) (all alphas > 0.7). In study 2, criterion-related validity revealed that synergistic motives were significantly positively associated with ALCNIC use; and negative effects motives were significantly negatively associated with ALCNIC use. Discriminant validity showed ALCNIC subscales were not significantly associated with social desirability (except social). CONCLUSIONS: The study developed a reliable and valid measure of motives for ALCNIC use. Results were robust to cross-validation across two samples of college students. These measures provide targets for intervention and prevention efforts.

Individuals with spinal cord injury have greater odds of substance use disorders than non-sci comparisons.

BACKGROUND: Individuals with spinal cord injury (SCI) are disproportionately affected by numerous physical and behavioral health disparities, but the literature lacks a clear understanding of the association between SCI and substance use disorders. Identifying such behavioral health disparities in persons with disabilities is an increasingly central focus for public health researchers and represents a critical first step for prevention. METHOD: The present study utilized a large database of deidentified electronic health records to examine the association between SCI and substance use disorders related to alcohol, cannabis, opioid, and nicotine. Examining data from patients 16 years or older who had patient encounters at the Penn State Hershey Medical Center from January 1, 1997 to April 30, 2018, the current study included data from 1,466,985 unique patients - 6192 of which held SCI diagnoses. Age-adjusted odds ratios were calculated using logistic regression. RESULTS: Compared to non-SCI patients, individuals with SCI were at increased odds of having alcohol use disorder (OR: 4.19, 95% CI [3.67, 4.80]), cannabis use disorder (OR: 7.83, 95% CI [6.32, 9.69]), opioid use disorder (OR: 7.97, 95% CI [6.59, 9.66]), and nicotine use disorder (OR: 4.66, 95% CI [4.40, 4.94]). Patient sex did not moderate any of the four associations. CONCLUSION: This study provides early indication that individuals with SCI may be disproportionately at-risk for substance use disorders and provides a foundation for future mechanistic and translational research. This evidence is a valuable step towards improving the health and quality of life for individuals with SCI.

Bringing alcohol on campus to raise money: impact on student drinking and drinking problems.

AIMS: Universities are striving to raise funds, often attracting spectators by selling alcohol at campus events. This study evaluates the effect of a policy change on student drinking at a large western university that had historically banned alcohol on campus but transitioned to permitting the sale of alcohol in some of its facilities. METHODS: Surveys of student drinking and perceptions of other students' drinking were conducted before, during and after the policy change at the transition university (TU) and compared to similar data from a control university (CU). Surveys of student drinking at on-campus and off-campus venues and observations of alcohol service practices were also conducted. RESULTS: The policy change at the TU was introduced cautiously, and sales to underage drinkers were relatively well controlled. Despite this, student drinking rose initially, then declined after 1 year. Perceptions of the amount of drinking by other students increased slightly, but there was no overall measurable increase in student drinking during the first 3 years of the new policy. CONCLUSIONS: The conservative TU policy-to sell alcohol only at select events and to control sales to minors-may have limited the impact of on-campus alcohol sales on student consumption. Although the study results did not find a stable increase in student drinking, they do not necessarily support the liberalization of campus alcohol policy, because the transition is still 'in progress' and the final outcome has not been evaluated.

Differential trajectories of alcohol-related behaviors across the first year of college by parenting profiles.

This study examined the extent to which profiles of perceived parenting are associated with trajectories of alcohol-related behaviors across the first year of college. Participants were surveyed five times from the summer before college to the fall of the second year. A total 285 college students were enrolled from the incoming classes of consecutive cohorts of students at a large, public university in the Northeastern United States. At baseline, participants provided information on their parents' alcohol-related behaviors (e.g., parental modeling of use; perceived approval of underage use) and parenting characteristics (e.g., parental monitoring; parent-child relationship quality). Students also reported on their personal alcohol-related behaviors at each time point. Latent profile analysis was used to identify four subgroups based on the set of parenting characteristics: High Quality (14%) - highest parent-teen relationship quality; High Monitoring (31%) - highest parental monitoring and knowledge; Low Involvement (30%) - poor relationship quality, little monitoring and communication; and Pro-Alcohol (21%) - highest parental modeling and approval. Students were then assigned to profiles, and their alcohol-related behaviors were examined longitudinally using latent growth curve modeling. In general, students in the Pro-Alcohol profile displayed the highest baseline levels of typical weekend drinking, heavy episodic drinking, and peak blood alcohol content, in addition to showing steeper increases in typical weekend drinking across the first year of college. Results support the notion that parental behaviors remain relevant across the first year of college. Differential alcohol-related behaviors across parenting profiles highlight the potential for tailored college intervention.

Predictors of skin self-examination performance.

BACKGROUND: Skin self-examination (SSE) may reduce the death rate from melanoma by as much as 63%. Enhancing SSE performance may reduce mortality and morbidity. This study determined predictors of SSE performance in a population of individuals who were at risk of developing melanoma or nonmelanoma skin carcinoma (NMSC). METHODS: Patients (n = 200) were asked about their knowledge of the warning signs, their sense of the importance of SSE to them, their attitude about and confidence in their ability to perform SSE, and their impression of their partner's comfort and ability with assisting in the skin examination. The interval since last skin examination, the number of physician visits (nondermatologist and dermatologist), the number and type of skin malignancies, the time since initial diagnosis, the number of skin biopsies, and health insurance status were determined from the medical records for the prior 3 years. RESULTS: Seventy percent of participants performed SSE. The three strongest predictors of SSE performance were attitude, having dermatology visits with skin biopsies and at least one skin carcinoma in the previous 3 years, and confidence in performance (P = 0.0001). Other predictors of SSE performance were perceived risk (P = 0.0001), knowledge (P = 0.004), and younger age (P = 0.045). CONCLUSIONS: Annual skin examination by physicians and monthly SSE by patients reinforce one another in promoting early detection. In this high-risk population, the dermatologist reinforced SSE performance by biopsy of skin lesions that were skin malignancies. People have intimate knowledge of their own skin and bear the consequences for failure to detect and treat skin carcinoma early; thus, monthly SSE becomes relevant as a personal health-promotion habit.