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Evaluations and Perceptions of Others' Evaluations of Negative Alcohol-Related Consequences Predict Negative Alcohol-Related Consequences Among College Drinkers.

ABSTRACT: OBJECTIVE:A key assumption when assessing alcohol-related problems is that these problems are considered negative. A growing literature suggests that college drinkers do not perceive all measured consequences to be negative. Research has established the impact of others' beliefs on personal beliefs and behaviors. The purpose of this study was to assess the effect of perceptions of others' evaluations (POE) of consequences on one's own evaluations and subsequent experiences of consequences. METHOD:A sample of 885 heavy drinking college students participated in a longitudinal study. Participants reported the number of alcoholic drinks consumed per week, experiences of alcohol-related problems, evaluations of those consequences, and perceptions of how typical university students evaluate those consequences. A moderated mediation of POE on negative alcohol-related consequences via evaluations of consequences at differing levels of alcohol consumption was conducted, with gender, baseline consequences, and intervention effects being controlled for. RESULTS:Results indicated that POE had no direct effect on subsequent consequences. However, an indirect effect was found through evaluations of consequences, such that there was a positive association between both POE and evaluations of consequences, and evaluations of consequences and subsequent consequences. Average weekly drinking moderated the association between POE and evaluations of consequences, such that the association between POE and evaluations of consequences was stronger for those who drank more heavily. CONCLUSIONS:Results are consistent with social cognition processes, such as pluralistic ignorance, and suggest that POE and evaluations of consequences should be considered in the construction of interventions targeting heavy-drinking college students.

SUBMITTER: Rinker DV

PROVIDER: S-EPMC5554106 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Evaluations and Perceptions of Others' Evaluations of Negative Alcohol-Related Consequences Predict Negative Alcohol-Related Consequences Among College Drinkers.

Rinker Dipali Venkataraman DV Young Chelsie M CM Krieger Heather H Lembo Jordanna J Neighbors Clayton C

Journal of studies on alcohol and drugs 20170301 2

<h4>Objective</h4>A key assumption when assessing alcohol-related problems is that these problems are considered negative. A growing literature suggests that college drinkers do not perceive all measured consequences to be negative. Research has established the impact of others' beliefs on personal beliefs and behaviors. The purpose of this study was to assess the effect of perceptions of others' evaluations (POE) of consequences on one's own evaluations and subsequent experiences of consequence ...[more]

PMID: 28317505

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Project description:IntroductionAlcohol is among the most commonly used psychoactive drugs, yet it can produce markedly different subjective effects in different people. Certain effects, including both heightened stimulatory effects and lesser sedative effects, are thought to predict repeated or excessive use. However, we do not fully understand the nature of these individual differences or their relationships to alcohol consumption. This controlled laboratory study examined subjective and physiologic responses to a moderate dose of alcohol in social drinkers in relation to the subjects' decision to consume alcohol.MethodsHealthy adult volunteers (N = 95) participated in a 5-session double-blind alcohol choice study. On the first 4 sessions, they received alcohol (0.8 g/kg) and placebo in alternating order, and on the fifth session, they chose and consumed whichever of the 2 they preferred. During each session, participants completed the Profile of Mood States (POMS) and Biphasic Alcohol Effects Scale (BAES) questionnaires and had their vitals recorded every 30 minutes. We compared subjective and physiologic response to alcohol during the sampling sessions in participants who chose alcohol or placebo on session 5.ResultsOf the 95 participants, 55 chose alcohol (choosers) and 40 chose placebo (nonchoosers). In the full sample, alcohol produced its expected effects (e.g., increased friendliness, elation, and vigor (POMS), and stimulation and sedation (BAES)). The chooser and nonchooser groups did not differ in demographic characteristics, blood alcohol levels, or cardiovascular measures. However, the choosers experienced greater alcohol-induced increases in positive mood (POMS) and liked the drug more, whereas the nonchoosers experienced greater anger, anxiety (POMS), and sedation (BAES) after alcohol.ConclusionBoth greater positive mood effects and lesser sedative effects after alcohol predicted preference under controlled conditions, suggesting that both factors can predict future consumption of alcohol.

Project description:This study examines Korean college students' rates and the severity of various negative consequences resulting from the frequency and quantity of alcohol consumption and the unique factors that are affecting this problem in the Korean context in comparison to other countries. It assesses how much gender, age and other associated respondent characteristics mediate alcohol use and the resulting negative consequences among the population. A stratified representative sample of 4803 valid student respondents attending 82 colleges participated in the alcohol consumption survey, of which 95% reported drinking in past 12 months. Drinking is measured by the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) screening tool. Based on this test, composite scores for each participant were computed and students were grouped into four risk groups: (a) nondrinkers, (b) light drinkers, (c) moderate drinkers and (d) heavy drinkers. Outcome measures include 21 validated items evaluating self-reported alcohol-related negative consequences. Rates of negative consequences are reported for each drinking risk group stratified by gender. Descriptive statistics, stepwise regression, multivariate linear regression and MANOVA tests were used to analyze the data. The study found that female respondents in the sample who consumed alcohol in the past 12 months drank 11.5 percent less than males (AUDIT-C score ? = 6.0 and 6.7, respectively), and there was a greater proportion of females (5.1 percent) who were nondrinkers than males (4.6 percent). Yet, when females drank, they experienced 11.8 percent more negative consequences on average than males (? = 1.9 and 1.7, respectively). The study attempts to explain this apparent contradiction. The self-reported rates for many individual negative consequences also varied discernibly by gender. The study concludes with suggestions for how alcohol prevention on Korean college campuses would benefit from targeting females and males differently.

Project description:Purpose: The number of patients with alcohol-related problems is steadily increasing. A large-scale survey of alcohol-related problems has been conducted. However, studies that predict hazardous drinkers and identify which factors contribute to the prediction are limited. Thus, the purpose of this study was to predict hazardous drinkers and the severity of alcohol-related problems of patients using a deep learning algorithm based on a large-scale survey data. Materials and Methods: Datasets of National Health and Nutrition Examination Survey of South Korea (K-NHANES), a nationally representative survey for the entire South Korean population, were used to train deep learning and conventional machine learning algorithms. Datasets from 69,187 and 45,672 participants were used to predict hazardous drinkers and the severity of alcohol-related problems, respectively. Based on the degree of contribution of each variable to deep learning, it was possible to determine which variable contributed significantly to the prediction of hazardous drinkers. Results: Deep learning showed the higher performance than conventional machine learning algorithms. It predicted hazardous drinkers with an AUC (Area under the receiver operating characteristic curve) of 0.870 (Logistic regression: 0.858, Linear SVM: 0.849, Random forest classifier: 0.810, K-nearest neighbors: 0.740). Among 325 variables for predicting hazardous drinkers, energy intake was a factor showing the greatest contribution to the prediction, followed by carbohydrate intake. Participants were classified into Zone I, Zone II, Zone III, and Zone IV based on the degree of alcohol-related problems, showing AUCs of 0.881, 0.774, 0.853, and 0.879, respectively. Conclusion: Hazardous drinking groups could be effectively predicted and individuals could be classified according to the degree of alcohol-related problems using a deep learning algorithm. This algorithm could be used to screen people who need treatment for alcohol-related problems among the general population or hospital visitors.

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Evaluations and Perceptions of Others' Evaluations of Negative Alcohol-Related Consequences Predict Negative Alcohol-Related Consequences Among College Drinkers.

Publications

Evaluations and Perceptions of Others' Evaluations of Negative Alcohol-Related Consequences Predict Negative Alcohol-Related Consequences Among College Drinkers.

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