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.

Using Crowdsourcing for Alcohol and Nicotine Use Research: Prevalence, Data Quality, and Attrition on Amazon Mechanical Turk.

BackgroundGauging the feasibility of using Amazon Mechanical Turk ® (MTurk) for various types of substance use research is precluded by a lack of information pertaining to the recruitment process in published studies utilizing it and concurrent information on data quality. ObjectiveThe present report addressed this gap by documenting the prevalence of alcohol and nicotine use, self-reported major health conditions, and information on data quality and retention on MTurk. Individuals 21 to 90 years old (N = 1101, Mdn age = 30) with United States-based MTurk accounts completed a stand-alone screening survey. The screening consisted of basic demographic, substance use, and physical/mental health questions, as well as items to gauge language proficiency/attention (i.e., data quality). ResultsPoor quality data was infrequent (6.5% of participants) and associated with self-reported non-United States residence, affirmative responding (e.g., currently pregnant, using both alcohol and nicotine), and other response characteristics (e.g., not disclosing health conditions). Among those passing quality checks, alcohol and nicotine use were relatively common (71.5% and 24.8%). Major physical (6.3%) and mental health conditions (14.8%) were less common. Despite not sending direct invitations, most eligible participants returned to and completed the main study (81.7%). Conclusions/Importance: Alcohol and nicotine use were relatively common among MTurk workers and retention rates were high. Together with the low prevalence of poor quality data, MTurk appears to remain a fruitful platform for substance use research; although researchers must be diligent in using appropriate screening tools, as substance use was sometimes associated with poor data quality and MTurk account information may not be reliable.

Using greenspace and nature exposure as an adjunctive treatment for opioid and substance use disorders: Preliminary evidence and potential mechanisms.

The demand for opioid medication to effectively treat pain has contributed to the surging opioid crisis, which is a major source of morbidity and mortality in the U.S. More than 100,000 people begin opioid maintenance treatment (OMT) annually, the standard pharmacotherapy for opioid use disorder (OUD). Although OMT is the standard care for OUD, patients often experience or develop a heightened sensitivity to pain (hyperalgesia) as a result of the opioid medication, and also have high rates of stress, affective, and anxiety-related conditions. These conditions are interactive with other behavioral and environmental correlates of opioid and other substance use disorders including impulsive decision-making (e.g., harmful opioid use associated with increased delay discounting), and a lack of alternative (i.e., substance-free) and social reinforcement. Collectively these complex and multifaceted factors constitute significant predictors of lack of adherence to OMT (and other pharmacotherapies) and relapse. There is an urgent need, therefore, to develop novel adjunctive treatments that preserve the benefits of OMT and various pharmacotherapies, and simultaneously diminish continued pain and hyperalgesia, reduce stress and anxiety-related conditions, target relevant behavioral mechanism such as impulsive choice, and also serve to enhance the value of alternative and substance free activities. Here, we discuss evidence that an environmental manipulation - access to greenspace and nature - could serve as a potential adjunctive treatment to standard pharmacotherapies by targeting multiple biological and behavioral mechanisms that standard pharmacotherapies do not address.