| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5037586 | Addictive Behaviors | 2017 | 5 Pages |
â¢Examined effects of anxiety and depressive symptoms on alcohol-related problems.â¢Examined specific vs. global drinking to cope (DTC) motives among college students.â¢DTC motives significantly mediated the effects of anxiety and depressive symptoms.â¢A global DTC motives factor had more predictive validity than separate DTC motives.â¢Additional research is needed to examine how to best operationalize DTC motives.
The present study sought to address an issue in the drinking to cope (DTC) motives literature, namely the inconsistent application of treating DTC motives as a single construct and splitting it into DTC-depression and DTC-anxiety motives. Specifically, we aimed to determine if the effects of anxiety and depression on alcohol-related problems are best explained via their associations with DTC with specific affects or via their associations with a more global measure of DTC by testing four distinct models: the effects of anxiety/depression on alcohol-related problems mediated by DTC-anxiety only (Model 1), these effects mediated by DTC-depression only (Model 2), these effects mediated by a combined, global DTC factor (Model 3), and these effects mediated by both DTC-anxiety and DTC-depression (Model 4). Using path analysis/structural equation modeling across two independent samples, we found that there was a significant total indirect effect of both anxiety and depressive symptoms on alcohol-related problems in every model. However, there was a slightly larger indirect effect in all models using the global DTC motives factor compared to even the model that included the two distinct DTC motives. Our results provide some preliminary evidence that at least at the between-subjects level, a global DTC motives factor may have more predictive validity than separate DTC motives. Additional research is needed to examine how to best operationalize DTC motives at different levels of analysis (e.g., within-subjects vs. between subjects) and in different populations (e.g., college students vs. individuals with alcohol use disorder).
