The psychometric properties of a shortened Dutch version of the consequences scale used in the Core Alcohol and Drug Survey

A short version of the Alcohol Consumption Consequences Evaluation Scale (ACCE10)

A brief version of the Alcohol Consumption Consequences Evaluation Scale (ACCE) [38] was developed to promptly detect possible risks related to alcohol consumption, such as Binge Drinking (BD), in university students. Using the "snowball" method, a sample of 595 students aged 18 to 20 (65.4% women) from the University of Valencia (Spain) was obtained during the 2019-2020 academic year. Items with the highest values of the discrimination parameter in the original version (ACCE) were selected and the Rasch model was applied. To verify the usefulness of this version, ROC analyses were conducted separately for men and women using the Audit score as the criterion. In the overall sample, the analysis had an area of 0.812 (SE = 0.018). In men, the area was 0.796 (SE = 0.032) and for women, it was 0.823 (SE = 0.021). In addition, a logistic regression analysis was performed, using a cut-off point of 3 based on the ROC analysis, to assess the utility of this version in classifying BD and non-BD. The odds ratio was 3.812 (p = 0.000), correctly classifying 89.2% of the young people and indicating that the probability of engaging in BD is 3.8 times higher for individuals obtaining more than 3 points on this scale. This result confirms the usefulness of this brief version (ACCE10) as a screening tool for early intervention, especially in clinical or university settings, since it allows young people to be situated within a range of severity according to their consumption patterns. Furthermore, it may help stop the progression of the addictive process, create awareness of the need for change, and facilitate access to the most suitable interventions.

Psychometric Properties of the "Alcohol Consumption Consequences Evaluation" (ACCE) Scale for Young Spanish University Students

Instruments that evaluate alcohol use consequences among young people do not consider the intensive alcohol consumption pattern that is so characteristic during these ages. Some of these instruments are even ineffective in the Spanish population. Hence the interest in developing an instrument more adapted to the reality of our young people. A total of 601 university students (35.9% male and 64.1% female) from 18 to 20 years old were recruited. All of them answered a total of 77 items obtained from the review of both the scientific literature and the different scales used to measure consequences derived from alcohol consumption. In addition, they completed the AUDIT and the Timeline Followback for self-reported consumption. The data were analyzed using factor analysis and a two-parameter logistic model. ROC curve analysis was used to establish cut-off points for different risk levels of alcohol consumption distinguishing between genders. The final 43-item scale Alcohol Consumption Consequences Evaluation (ACCE) (Evaluación de Consecuencias derivadas del Consumo de Alcohol [ECCA]) shows adequate psychometric properties: α = 0.94; unidimensionality through exploratory factor analysis (EFA) (26.25% of explained variance) and confirmatory factor analysis (CFA) (RMSEA = 0.39; TLI and CFI > 0.90). In addition, ROC analyses, both at a global scale and distinguishing between genders, were able to characterize consumers with different levels of risk, obtaining areas under the curve between 0.82 and 0.88. A scale has been obtained that enables the establishment of cut-off points to distinguish between the consequences of low, moderate and high risk alcohol consumption. The clinical utility of the ACCE is highlighted by using one single instrument to perform the screening of a possible alcohol risk consumption as well as identifying the consequences that need to be worked on in the evaluated person’s or group’s intervention.

Problem drinking among Flemish students: beverage type, early drinking onset and negative personal & social consequences

Background

Although alcohol is socially accepted in most Western societies, studies are clear about its associated negative consequences, especially among university and college students. Studies on the relationship between alcohol-related consequences and both beverage type and drinking onset, however, are scarce, especially in a European context. The aim of this research was, therefore, twofold: (1) What is the relationship between beverage type and the negative consequences experienced by students? and (2) Are these consequences determined by early drinking onset? We will examine these questions within the context of a wide range of alcohol-related consequences.

Methods

The analyses are based on data collected by the inter-university project ‘Head in the clouds?’, measuring alcohol use among students in Flanders (Belgium). In total, a large dataset consisting of information from 19,253 anonymously participating students was available. Negative consequences were measured using a shortened version of the Core Alcohol and Drug Survey (CADS_D). Data were analysed using negative binomial regression.

Results

Results vary depending on the type of alcohol-related consequences: Personal negative consequences occur frequently among daily beer drinkers. However, a high rate of social negative consequences was recorded for both daily beer drinkers and daily spirits drinkers. Finally, early drinking onset was significantly associated with both personal and social negative consequences, and this association was especially strong between beer and spirits drinking onset and social negative consequences.

Conclusions

Numerous negative consequences, both personal and social, are related to frequent beer and spirits drinking. Our findings indicate a close association between drinking beer and personal negative consequences as well as between drinking beer and/or spirits and social negative consequences. Similarly, early drinking onset has a major influence on the rates of both personal and social negative consequences. The earlier students started drinking, the more negative consequences they experienced during college or university. Several (policy) interventions are discussed. This study is the first to incorporate detailed information on both beverage type and drinking onset, and its associated negative consequences, as measured by the CADS_D, in a large student population.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-5120-7) contains supplementary material, which is available to authorized users.