Drinking Motives in Clinical and General Populations (original) (raw)

Examining the Drinking Motives Questionnaire‐Revised Short Form among university students in Australia, New Zealand and Argentina

Drug and Alcohol Review

Introduction: The Drinking Motives Questionnaire-Revised Short Form (DMQ-R-SF) is widely used among alcohol researchers studying adolescents and young adults. The psychometric properties of the DMQ-R-SF have been examined among university students in many countries, but to our knowledge, not in Australia, New Zealand or Argentina. We sought to examine the reliability and endorsement of the items on the DMQ-R-SF, and test the associations between the DMQ-R-SF subscales and alcohol use, and negative alcohol consequences between university students from Australia, New Zealand and Argentina. Method: University students (N = 820) in Australia (n = 315), New Zealand (n = 265) and Argentina (n = 240) completed a confidential online alcohol survey which included the DMQ-R-SF, the Daily Drinking Questionnaire and the Brief Young Adult Alcohol Consequences Questionnaire. Results: Using the alignment method, support for the four-factor model on the DMQ-R-SF emerged and the factor loadings for 11 of the 12 items were invariant across sites. Most items (8 out of 12) on the DMQ-R-SF were fully invariant across all sites, but some small differences in item reliability for one item, and endorsement for three items emerged between the sites. Across the three countries, coping motives were positively correlated with negative alcohol consequences. Enhancement motives were positively associated with both alcohol use and negative alcohol consequences among students from Australia and New Zealand. Discussion and Conclusions: Most items on the DMQ-R-SF were comparably reliable among the university students sampled from Australia, New Zealand and Argentina. Our preliminary findings suggest that the DMQ-R-SF can be reliably used with university students from these countries.

Screening properties of the DMQ-R to assess alcohol involvement in university students

2019

Aim: To evaluate the accuracy properties of the Drinking Motives Questionnaire – Revised (DMQ-R) to identify alcohol involvement in college students and, consequently, describe its predictive validity. Methods: A cross-sectional study was performed. Through a convenience sample of 302 undergraduate students was obtained, with an average age of 20.4±2.7 years old and 52.8 were of male students. A self-reported questionnaire was used to evaluate the screening properties, ROC curve analysis was done by using the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) as gold-standard comparison. Results: Areas under the curves ranged between .660 and .714. Values between .538 and .667, and .616 and .726 were observed for sensitivity and specificity, respectively. Also, predictive positive values ranged between .205 and .265, and between .913 and .926 for negative predictive values. Conclusion: The present study shows the unsuitable accuracy properties of the DMQ-R to assess ...

Validation of the Drinking Motives Questionnaire (DMQ) in older adults

Addictive Behaviors, 2013

► Finding suggest that the DMQ is a valid measure for use on older adults. ► Specific alcohol-related consequences were associated with each drinking motive. ► Social motivations for drinking were the most frequently endorsed. ► Males reported more frequent drinking for each of the three motives.

Examination of a three-dimensional Drinking Motives Questionnaire in a young adult university student sample

Behaviour Research and Therapy, 1996

The literature on drinking motives suggests that individuals drink for three distinct reasons: coping motives (CM: to reduce and/or avoid negative emotional states); social motives (SM: to attiliate with others); and enhancement motives (EM: to facilitate positive emotions). Cooper, Russell, Skinner and Windle (1992) [Psychological Assessment, 4, 123-132] developed a 3-dimensional self-report instrument, the Drinking Motives Questionnaire (DMQ), with subscales designed to assess relative frequency of drinking for each of these three motives. This study was designed to examine the psychometric properties of the DMQ in a large sample of young adult university students. Three hundred and fourteen students voluntarily served as subjects; 266 students (85% of the total sample; 196F and 70M) reported drinking on the DMQ. These students were divided into two age groups [20 yr and under (n = 117); 21 yr and older (n = 149)]. Analyses of variance indicated: (a) main effects of gender, with men scoring significantly higher on the DMQ-EM subscale and tending to score higher on the DMQ-SM subscale when compared to women; (b) a main effect of age group on the DMQ-EM subscale, with younger students scoring significantly higher than older students; and (c) a significant main effect of drinking motive, with the most relatively frequent drinking reported for SM and the least for CM overall. Although mild-to-moderate shared variance between subscales was noted, the three subscales of the DMQ were found to possess adequate-to-high levels of internal consistency. A confirmatory factor analysis (CFA) showed that the hypothesized 3-factor model provided a better fit than either a unidimensional or 2-factor model in explaining the underlying structure of the DMQ Some suggestions for improvements in DMQ item content are made. The present results replicate and extend previous findings by Cooper and colleagues to a sample of university students, and support the utility of using the DMQ in future investigations of the drinking motives of young adults.

Validation of a nine-dimensional measure of drinking motives for use in clinical applications: The desired effects of drinking scale

Addictive Behaviors, 2011

The Desired Effects of Drinking (DEOD) is a 36-item, 9-subscale, self-report measure assessing reasons for drinking, concerning three general motives for alcohol use: Coping, Social, and Enhancement. These subscales include Negative Feelings, Self-esteem, Relief, Positive Feelings, Social Facilitation, Assertion, Drug Effects, Sexual Enhancement, and Mental effects. As part of the COMBINE study, scores from the nine DEOD subscales, along with additional information about alcohol consumption and consequences, were incorporated into personalized client feedback as part of a motivational enhancement intervention and as a guide for the development of a plan for treatment and change. With responses from a clinical sample of 572 individuals seeking alcohol treatment, the 9-subscale structure of the instrument was substantiated through a secondorder confirmatory factor analysis, revealing moderately large to large factor loadings and good indices of model fit. A third-order factor analysis indicated these nine subscales adequately represented the three drinking motives. It is suggested these three general motives for alcohol use, which may be more distinctly delineated into the nine dimensions reflected in the DEOD structure, can be used clinically to help plan appropriate interventions and facilitate behavior change.

Development and Validation of the Amsterdam Motives for Drinking Scale (Amds): An Attempt to Distinguish Relief and Reward Drinkers

Alcohol and Alcoholism, 2006

Determination of alcoholic subtypes is a promising strategy for patient treatment matching with anti-craving interventions. The aim of this study is to develop and validate a questionnaire on drinking motives that can distinguish relief and reward drinkers. Methods: A 103-item self-report questionnaire was developed: the Amsterdam Motives for Drinking Scale (AMDS). The AMDS was tested in two samples of alcoholics (Sample A: n = 251; Sample B: n = 197). The psychometric properties were examined in Sample A and cross-validated in B. Results: The AMDS consists of a relief scale and a reward scale, both containing distinct subscales. All (sub)scales had good internal consistency. However, the relief and reward scales were highly correlated (Sample A: r = 0.84, P < 0.01; Sample B: r = 0.76, P < 0.01), and convergent and divergent validity was only partly confirmed. The lowest correlations were found between the relief subscale 'stress and vulnerability' and the reward subscale 'stimulation seeking' (Sample A: r = 0.33, P < 0.01; Sample B: r = 0.13, P > 0.01). Conclusions: The AMDS reliably measures two types of motives. However, the relief and reward scales are highly correlated. Lower correlations were found only at the subscale level. It is concluded that most treatmentseeking alcoholics have both relief and reward motives. More research is needed on the relationship between motives for drinking and other phenotypic, endophenotypic and genetic indicators of relief and reward drinking, and appropriate cutoff points. Only than we can draw firm conclusions regarding the potential of drinking motives for patient treatment matching.