Impaired Control (Both Attempts to Control Drinking and Failed Control) as Prospective Predictors of Negative Outcomes Among Young Adults Who Drink Heavily.

OBJECTIVE: Impaired control over alcohol is a hallmark of addiction relevant to young adults, but additional prospective findings are needed, particularly in samples reporting heavy drinking. Further, we lack understanding of how attempts and failed efforts to control drinking relate to each other in predicting outcomes. We hypothesized that attempted and failed control would prospectively predict outcomes, with endorsement of both being especially problematic. METHOD: We used data from young adults reporting heavy drinking who enrolled in laboratory alcohol self-administration studies (n = 109). Mixed-effects models were used to predict drinks per drinking day, heavy drinking, and negative consequences across baseline and 6- and 12-month follow-ups. Interactions by time and between attempted and failed control were tested. RESULTS: Higher failed control was associated with steeper declines in consequences and heavy drinking over time compared with lower failed control. However, higher attempted or failed control was still associated with more consequences and alcohol use than lower impaired control at multiple time points. A significant interaction indicated that the combination of higher attempted and failed control was associated with the most drinks per drinking day. There was also a significant Attempted × Failed Control interaction for heavy drinking. CONCLUSIONS: These findings provide further evidence supporting impaired control over alcohol use as a risk factor among young adults. Those reporting both higher attempted and failed control drank the most per day. Either attempted or failed control was associated with negative consequences. Those reporting both higher attempted and failed control may be in greatest need of intensive intervention.

Are the attention checks embedded in delay discounting tasks a valid marker for data quality?

To ensure good quality delay discounting (DD) data in research recruiting via crowdsourcing platforms, including attention checks within DD tasks have become common. These attention checks are typically identical in format to the task questions but have one sensical answer (e.g., "Would you prefer $0 now or $100 in a month?"). However, the validity of these attention checks as a marker for DD or overall survey data quality has not been directly examined. To address this gap, using data from two studies (total N = 700), the validity of these DD attention checks was tested by assessing performance on other non-DD attention checks and data quality measures both specific to DD and overall survey data (e.g., providing nonsystematic DD data, responding inconsistently in questionnaires). We also tested whether failing the attention checks was associated with degree of discounting or other participant characteristics to screen for potential bias. While failing the DD attention checks was associated with a greater likelihood of nonsystematic DD data, their discriminability was inadequate, and failure was sometimes associated with individual differences (suggesting that data exclusion might introduce bias). Failing the DD attention checks was also not associated with failing other attention checks or data quality indicators. Overall, the DD attention checks do not appear to be an adequate indicator of data quality on their own, for either the DD task or surveys overall. Strategies to enhance the validity of DD attention checks and data cleaning procedures are suggested, which should be evaluated in future research. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Spending Time in Nature Serves as a Protective Factor against Problematic Alcohol Use: A Structural Equation Modeling Approach.

Alcohol use in the U.S. continues to be a prevalent behavior with the potential for far-reaching personal and public health consequences. Risk factors for problematic drinking include negative affect and impulsive decision-making. Research suggests exposure to nature reduces negative affect, increases positive affect, and reduces impulsive choice. The purpose of the current study was to explore the relationships between exposure to nature (actively going out to nature and the level of greenness around the participant's daily life), affect, impulsive decision-making, and alcohol use, using structural equation modeling. Cross-sectional data (N = 340) collected online on Amazon MTurk were used to test the hypothesized relationships separately for alcohol consumption and alcohol-related problems. Actively spending time in nature was associated with lower negative affect and higher positive affect, while passive exposure to nature was only associated with higher positive affect. In turn, negative affect was positively related to both alcohol measures, while positive affect was related to increased alcohol consumption, but not alcohol-related problems. Impulsive decision-making was not related to nature or alcohol measures. Findings suggest that intentionally spending time in nature may protect against problematic alcohol use by reducing negative affect. These results warrant further research on nature as an adjunct treatment for reducing alcohol and substance-related harms and carry implications for public education and increasing accessibility to natural spaces.