Keatingserrano3272

(PsycInfo Database Record (c) 2021 APA, all rights reserved).In this study, we addressed age differences in how people respond to interpersonal transgressions. Specifically, we examined whether the tendencies to respond with revenge, avoidance, and benevolence differ as a function of age in a cross-sectional study with a large sample (N = 1,413; age range 19-83 years). We used local structural equation modeling (LSEM) to examine nonlinear mean level, structural, and variance-related differences in responses to transgressions across continuous age. We found a small increase in average benevolence and a small decrease in revenge mean levels during early adulthood. In contrast to research on avoidance related to interpersonal stressors, the current results suggest the opposite age pattern with a moderate decrease in avoidance with increasing age. Additionally, the strength of the negative correlation between benevolence and the two other response options decreased with age. This pattern indicates that younger adults generally either respond with a negative or positive reaction, whereas responses were more differentiated in old age. The current findings demonstrate the importance of addressing age differences in responses to interpersonal transgressors from multiple perspectives. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Objective The prevalence of co-use of alcohol and cannabis is increasing, particularly among young adults. Sex differences in the effects of alcohol alone and cannabis alone have been observed in animals and humans. However, sex differences in the acute pharmacological effects of cannabis combined with alcohol have not yet been studied. In young adults, aged 19-29 years, we aimed to examine sex differences following an intoxicating dose of alcohol (target 0.08% breath alcohol content) combined with a moderate dose of cannabis (12.5% Δ⁹-tetrahydrocannabinol; THC) using an ad libitum smoking procedure. Method Using a within-subjects design, 28 regular cannabis users (16 males; 12 females) received in random order (a) placebo alcohol and placebo cannabis, (b) active alcohol and placebo cannabis, (c) placebo alcohol and active cannabis, and (d) active alcohol and active cannabis. Blood samples for THC were collected and measures of vital signs, subjective drug effects, and cognition were collected. Results In the alcohol-cannabis combined condition, females smoked significantly less of the cannabis cigarette compared to males (p less then .001), although both sexes smoked similar amounts in the other conditions. There was minimal evidence that females and males differed in THC blood concentrations, vitals, subjective effects, or cognitive measures. Conclusions In the alcohol-cannabis combined condition, females experienced the same acute pharmacological and subjective effects of alcohol and cannabis as males, after smoking less cannabis, which has potential implications for informing education and policy. Further research is warranted on sex differences in cannabis pharmacology, as well as the combined effects of alcohol and cannabis. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Men who have sex with men (MSM) and gender minorities (GM) are more likely to have substance problems and experience various forms of victimization compared to their heterosexual and cisgender counterparts. Polyvictimization allows for the assessment of the combined impact of multiple forms of victimization on health. This study examines the effects of polyvictimization patterns on stimulant use, alcohol and marijuana problems among a large cohort study.

The sample was collected between 2015 and 2019 (

= 1,202). Mean age was 22. The sample was racially diverse (34.4% Black, 29.0% Hispanic/Latinx, 25.8% white, 5.9% other racial identity), 92.4% of the sample were MSM and 7.6% of the sample were GM. Using latent class analysis five qualitatively different polyvictimization classes were identified. Associations between these classes and stimulant use, alcohol and marijuana problems were examined using negative binomial and logistic regressions.

Polyvictimization class significantly predicted alcohol probrd (c) 2021 APA, all rights reserved).Objective Brief computer-delivered interventions (CDIs) reduce college student drinking and related problems but can be less efficacious and enduring than in-person interventions. The present study examined (a) the utility of emailed personalized boosters after an evidence-based online CDI for alcohol (i.e., eCHECKUP TO GO), and (b) the added value of including protective behavioral strategies (PBS) in boosters containing personalized normative feedback (PNF) versus PNF alone. Method 528 young adult (ages 18-24) college drinkers (71.6% female; 52.5% Black, 40.3% White) with a mean age of 19.9 years (SD = 1.65) were randomized to receive CDI-only; CDI plus a PNF-only booster; or CDI plus a booster containing both PNF and PBS feedback. Booster emails were sent 2 weeks post-intervention. 3-Aminobenzamide Online surveys completed pre-intervention and at 1 and 3 months assessed alcohol consumption, problems, descriptive normative perceptions, and PBS use. Results The CDI led to significant reductions in alcohol consumption across all conditions, with no effect of boosters on drinking. Controlling for quantity, no reductions in problems were observed. Descriptive norms reduced significantly, with no condition differences. Only PBS use showed condition effects, such that the CDI-only and PNF-only booster groups reported reduced PBS use at 1 month, but the norms-plus-PBS booster group did not. Conclusions The CDI was sufficient to change alcohol consumption and perceived norms without boosters, although the inclusion of boosters with PBS feedback may mitigate against PBS use reductions. Longer follow-ups may detect delayed booster benefits, or a larger dose through repeated exposure over time may be needed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Models of addiction often posit bidirectional and dynamic associations between constructs relevant to the etiology and maintenance of addictive behaviors. The cross-lagged panel model (CLPM) is commonly used in addiction research but has been critiqued for not appropriately adjusting for between-person variance. Alternatives to the CLPM have been suggested but remain underutilized. The primary purpose of this article is to highlight interpretational limitations of the CLPM and to provide examples of alternative models.

We specified CLPM, Random-Intercept CLPM, and a Latent Curve Model with Structured Residuals using four waves of data from Project MATCH (

= 1,201). We modeled prospective relations among depression symptoms and temptation to drink. Substantive inferences and assumptions across models were compared.

The CLPM provided the most evidence of significant cross-lagged paths but the poorest fit to the data compared to other models. Alternative models found little evidence of prospective within-person associations, and more evidence for between-person associations and wave-specific within-person relations between depression symptoms and temptation to drink.