Depression, Environmental Reward, Coping Motives and Alcohol Consumption During the COVID-19 Pandemic
Bibliographic record
Abstract
Background. Increases in the incidence of psychological distress and alcohol use during the COVID-19 pandemic have been predicted. Environmental reward and self-medication theories suggest that increased distress and greater social/environmental constraints during COVID-19 could result in increases in depression and drinking to cope with negative affect. The current study had two goals: (1) to clarify the presence and direction of changes in alcohol use and related outcomes after the introduction of COVID-19 social distancing requirements, and; (2) to test hypothesized mediation models to explain individual differences in alcohol use during the early weeks of the COVID-19 pandemic. Methods. Participants (n = 1127) were U.S. residents recruited for participation in an online survey. The survey included questions assessing environmental reward, depression, COVID-19-related distress, drinking motives, and alcohol use outcomes (alcohol use; drinking motives; alcohol demand, and solitary drinking). Outcomes were assessed for two timeframes: the 30 days prior to state-mandated social distancing (‘pre-social-distancing’), and the 30 days after the start of state-mandated social distancing (‘post-social-distancing’). Results. Depression severity, coping motives, and frequency of solitary drinking were significantly greater post-social-distancing relative to pre-social-distancing. Conversely, environmental reward and other drinking motives (social, enhancement, and conformity) were significantly lower post-social distancing compared to pre-social-distancing. Time spent drinking and frequency of binge drinking were greater post-social-distancing compared to pre-social-distancing, whereas typical alcohol quantity/frequency were not significantly different between timeframes. Indices of alcohol demand were variable with regard to change. Mediation analyses suggested a significant indirect effects of reduced environmental reward with drinking quantity/frequency via increased depressive symptoms and coping motives, and a significant indirect effect of COVID-related distress with alcohol quantity/frequency via coping motives for drinking. Discussion. Results provide early evidence regarding the relation of psychological distress with alcohol consumption and coping motives during the early weeks of the COVID-19 pandemic. Moreover, results largely converged with predictions from self-medication and environmental reinforcement theories. Future research will be needed to study prospective associations among these outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".