Psychological outcomes and culturally relevant moderators associated with events of discrimination among Asian American adults.

OBJECTIVES: Incidents of discrimination against Asian Americans have increased in the United States during the COVID-19 pandemic. The aims of this study are to (a) examine the overall psychological impact of incidents of discrimination on Asian Americans adults, (b) identify whether East Asians experience worse psychological outcomes following experiences of discrimination compared to other Asian Americans, and (c) identify culturally relevant factors that moderate the relationship between incidents of discrimination and psychological outcomes. METHOD: Two hundred eighty-nine participants who identified racially as Asian American (Mage = 33.1 years, ±10.5 SD, 57.1% male, and 54.3% East Asian) completed an online survey including measures of demographics, psychological outcomes, culturally relevant factors (e.g., acculturative stress, collective self-esteem), and racial discrimination. RESULTS: We found that, overall, experiencing increased frequency of discrimination related to more depressive symptoms and alcohol use (ps < .05). When comparing Asian subgroups (East Asian vs. other Asian), there were no significantly different relationships between discrimination frequency and attribution to race on psychological outcomes (ps > .098). Collective self-esteem (p = .041) weakened, while acculturative stress strengthened (p < .001) the relationship between discrimination frequency and alcohol use; collective self-esteem weakened the relationship between attribution to race and social anxiety (p = .021); and internalized racism weakened the relationship between discrimination frequency and depression (p = .038). CONCLUSIONS: We identified moderators of the relationship between experiences of discrimination and psychological outcomes in Asian Americans. Because the moderators held for all Asian groups under study, they are strong candidates for points of intervention to mitigate the harmful effects of discrimination for Asian Americans. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Early Impact of the U.S. COVID-19 Pandemic on Drinking Motives and Alcohol Use.

Background: The goal of this study was to empirically examine the degree to which alcohol use and drinking motives changed during the first month of the pandemic and to examine individual differences associated with such changes. Methods: A U.S. nationwide survey of 500 adults was conducted; data from 201 individuals (Mage=38.98, SD=12.04, 52.2% female, 76.1% White) who endorsed current alcohol use were included in this study. Results: Paired-samples t-tests indicated that there was a significant decrease in drinking quantity [t(199)=3.74, p<.001], but no change in drinking frequency [t(198)=0.19, p=.849] overall during the first month of the U.S. pandemic. There were significant decreases in enhancement [t(201)=4.55, p<.001], social [t(201)=9.39, p<.001] and conformity [t(201)=3.58, p<.001] motives, but a significant increase in coping motives [t(201)=-3.71, p<.001]. Regression analyses showed that increases in enhancement [ß=0.46, p<.001] and coping [ß=0.27, p=.004] motives were significantly related to increases in drinking frequency, and increases in coping motives [ß=0.32, p=.002] were related to increases in drinking quantity. Riskier drinking prior to the pandemic was significantly related to greater increase in drinking quantity in the first month of the U.S. pandemic [ß=0.31, p<.001]. Conclusion: Results of this study provide initial support that changes in drinking motives were important predictors for changes in alcohol use during the first month of the U.S. pandemic. Contrary to anecdotal reports, drinking decreased overall during the first month of the U.S. pandemic; however, those with existing risky patterns of drinking prior to the start of the U.S. pandemic were at greatest risk for drinking escalation during this time.

Applying Bayesian cognitive models to decisions to drive after drinking.

BACKGROUND AND AIMS: Despite widespread negative perceptions, the prevalence of alcohol-impaired driving (AID) in the United States remains unacceptably high. This study used a novel decision task to evaluate whether individuals considered both ride service cost and alcohol consumption level when deciding whether or not to drive, and whether the resulting strategy was associated with engagement in AID. DESIGN: A two-sample study, where sample 1 developed a novel AID decision task to classify participants by decision strategy. Sample 2 was used to cross-validate the task and examine whether decision strategy classifications were predictive of prior reported AID behavior. SETTING: A laboratory setting at the University of Missouri, USA. PARTICIPANTS: Sample 1 included 38 student participants from introductory psychology classes at the University of Missouri. Sample 2 included 67 young adult participants recruited from the local community. MEASUREMENTS: We developed a decision task that presented hypothetical drinking scenarios that varied in quantity of alcohol consumption (one to six drinks) and the cost of a ride service ($5-25). We applied a Bayesian computational model to classify choices as consistent with either: integrating both ride cost and consumption level (compensatory) or considering only consumption level (non-compensatory) when making hypothetical AID decisions. In sample 2, we assessed established AID risk factors (sex, recent alcohol consumption, perceived safe limit) and recent (past 3 months) engagement in AID. FINDINGS: In sample 1, the majority of participants were classified as using decision strategies consistent with either a compensatory or non-compensatory process. Results from sample 2 replicated the overall classification rate and demonstrated that participants who used a compensatory strategy were more likely to report recent AID, even after accounting for study covariates. CONCLUSIONS: In a hypothetical alcohol-impaired driving (AID) decision task, individuals who considered both consumption level and ride service cost were more likely to report recent AID than those who made decisions based entirely on consumption level.