Psychology of Addictive Behaviors最新文献

Reports an error in "Use and co-use of tobacco and cannabis before, during, and after pregnancy: A longitudinal analysis of waves 1-5 of the Population Assessment of Tobacco and Health (PATH) study" by Jessica M. Powers, Sarah F. Maloney, Eva Sharma and Laura R. Stroud (Psychology of Addictive Behaviors, Advanced Online Publication, Apr 18, 2024, np). In Table 1, the Past 30-day cannabis use row now appears as Past 30-day cannabis only use; the Past 30-day tobacco use row now appears as Any past 30-day tobacco use. The Total sample at prepregnancy sample of 344 (50.14%) now appears as 342 (49.85%). Figure 3 also has been updated. All versions of this article have been corrected. (The following abstract of the original article appeared in record 2024-74068-001.) Objective: Co-use of tobacco and cannabis may be prevalent in pregnancy, potentially leading to additional adverse health outcomes. Utilizing a national sample of women followed prospectively before, during, and after pregnancy, this study tested whether prepregnancy co-use of tobacco and cannabis (vs. tobacco-only use and cannabis-only use) was associated with greater likelihood of continuing to use tobacco and/or cannabis during pregnancy and postpartum.

Method: Data were drawn from Waves 1-5 (2013-2019) of the Population Assessment of Tobacco and Health (PATH) Study. Prepregnancy, pregnancy, and postpartum data were captured and stacked over three intervals (Waves 1-3, 2-4, and 3-5). Participants were N = 686 U.S. women (72% White, 46% age 25-34) who were currently pregnant during the middle wave of an interval. Rates of tobacco-only use, cannabis-only use, and tobacco and cannabis co-use at all three time points were examined.

Results: Generalized estimating equation models demonstrated that pregnant women who reported prepregnancy tobacco and cannabis co-use (vs. tobacco-only or cannabis-only use) were more likely to continue to use tobacco and/or cannabis during pregnancy and relapse in postpartum (p < .05). Among women who endorsed prepregnancy co-use and continued to use tobacco and/or cannabis in pregnancy, about half transitioned to tobacco-only use (45.16%).

Conclusions: Findings underscore the need for further clinical and empirical focus on dynamic patterns of use/co-use of tobacco and cannabis across the perinatal period, including cessation interventions to reduce tobacco and cannabis use in pregnancy and protect against relapse in postpartum. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: The rising prevalence of daily cannabis use among older adolescents and young adults in the United States has significant public health implications. As a result, more individuals may be seeking or in need of treatment for adverse outcomes (e.g., cannabis use disorder) arising from excessive cannabis use. Our objective was to explore the potential of self-reported motives for cannabis use as a foundation for developing adaptive interventions tailored to reduce cannabis consumption over time or in certain circumstances. We aimed to understand how transitions in these motives, which can be collected with varying frequencies (yearly, monthly, daily), predict the frequency and adverse outcomes of cannabis use.

Method: We conducted secondary analyses on data collected at different frequencies from four studies: the Medical Cannabis Certification Cohort Study (n = 801, biannually), the Cannabis, Health, and Young Adults Project (n = 359, annually), the Monitoring the Future Panel Study (n = 7,851, biennially), and the Text Messaging Study (n = 87, daily). These studies collected time-varying motives for cannabis use and distal measures of cannabis use from adolescents, young adults, and adults. We applied latent transition analysis with random intercepts to analyze the data.

Results: We identified the types of transitions in latent motive classes that are predictive of adverse outcomes in the future, specifically transitions into or staying in classes characterized by multiple motives.

Conclusions: The identification of such transitions has direct implications for the development of adaptive interventions designed to prevent adverse health outcomes related to cannabis use. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Alcohol misuse is common among women who have experienced sexual violence and is often attributed to the self-medication model of alcohol use to alleviate posttraumatic stress disorder (PTSD) symptoms. Despite the proximal theorized role of PTSD symptoms, less attention has been given to daily associations between PTSD symptoms, trauma-related drinking to cope (TRD) motives, and ensuing alcohol use by survivors. Moreover, despite indications that poor sleep impacts affective functioning and may exacerbate daily PTSD symptoms, the role of sleep duration and quality in drinking to cope with PTSD symptoms is not well understood. This study examined an integrated model testing whether shorter sleep duration and poorer sleep quality predict greater daily PTSD symptoms and, in turn, greater alcohol use later that day through TRD motives.

Method: Participants were 82 cisgender women (M_age = 22.8, 73.2% White, 13.4% Hispanic/Latina, 56.1% heterosexual, 30.5% bisexual) who had experienced sexual violence. Participants completed ecological momentary assessment measures and wore actigraphs for 3 weeks.

Results: Contrary to hypotheses, shorter-than-usual sleep duration did not predict greater alcohol use quantity via daily PTSD symptoms and TRD motives. However, poorer-than-usual sleep quality predicted greater PTSD symptoms that day, which in turn predicted greater same-day TRD motives.

Conclusions: Findings underscore the importance of sleep quality in heightened PTSD symptoms but suggest survivors did not drink more to alleviate trauma-related distress. Future research should examine other drinking motives among survivors to inform proximal interventions to prevent alcohol misuse. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Researchers and theorists studying intergroup relations have been interested in the impact of alcohol on interracial responding. Theories predict that alcohol will exacerbate expressions of racial bias by increasing reliance on stereotypes and/or by decreasing controlled processing and self-monitoring. Prior studies testing these theories have often examined alcohol's effects on implicit (i.e., indirect) measures of racial bias with inconsistent results. However, previous research in this area has suffered from several methodological limitations, including small sample sizes and doses of alcohol that may have been too low to induce substantial intoxication.

Method: Here, in more than triple the number of alcohol participants than the largest prior study, we tested whether an intoxicating dose of alcohol (target breath alcohol concentration of .08%) exacerbated implicit racial bias. Young adults who identified as races other than Black or African American (N = 207) were randomly assigned to consume an alcoholic or placebo beverage and completed the race-based Implicit Association Test (race IAT) testing implicit preference for White (vs. Black) individuals [or, conversely, bias against Black (vs. White) individuals].

Results: All participants demonstrated an implicit racial bias (i.e., linking traditionally Black names with negative/unpleasant words), with no difference in this implicit racial bias across beverage conditions. Specifically, there were no differences between alcohol participants' race IAT D scores (M = 0.55, SD = 0.39), and placebo participants' race IAT D scores (M = 0.59, SD = 0.35), b = 0.05, 95%CI [-0.07, 0.18], p = .422.

Conclusions: These findings challenge theories and prior studies suggesting that alcohol increases implicit racial bias. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: The Diagnostic and Statistical Manual of Mental Disorders, fifth edition conceptualizes alcohol use disorder (AUD) as a single continuum with indicators to denote the level of severity along this spectrum with the presence of 2-3, 4-5, or 6 + symptoms indicating mild, moderate, and severe AUD, respectively. However, despite the labels of these indicators, it remains unclear how individuals compare across these indicators, both in terms of AUD severity, but also risk for other related problems (e.g., depression).

Method: Confirmatory factor analysis was conducted on past year AUD symptoms to obtain estimates of latent AUD severity using data from the 2020 National Survey on Drug Use and Health (unweighted n = 31,941). The range and distribution of latent trait estimates were then compared across AUD diagnostic statuses (i.e., no AUD, mild, moderate, and severe). Multinomial regressions were then used to compare diagnostic groups based on alcohol use, problems with other substances, treatment utilization, and mental/physical health.

Results: Results indicated very limited overlap in latent severity estimates between individuals with different severity indicators. Multinomial regression results demonstrated that some measures increased in a roughly stepwise fashion across AUD indicators (e.g., alcohol use and drinking behavior), while many did not.

Conclusions: Results partially support the current AUD indicators as AUD severity and co-occurring problems did broadly increase across the indicators. However, the present study also explores several ways to improve these indicators in future AUD formulations. For example, having indicators that account not only for the quantitative but also the qualitative differences in AUD presentation at different severity levels. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: The aim of the current meta-analysis was to examine potential differences in posttreatment effect size estimates for gambling frequency (i.e., the number of days gambled) and gambling expenditure (i.e., the amount of money gambled) when using the gambling timeline followback (G-TLFB) versus other self-report assessments.

Method: Using an open-access meta-analysis database of studies on cognitive behavioral treatment for gambling disorder, 22 studies representing 2,824 participants were identified for inclusion. Hedges's g effect sizes representing posttreatment differences on gambling frequency and expenditure between cognitive behavioral treatment versus inactive and minimal treatment controls were calculated, and mixed-effect subgroup analyses examined the effect sizes for each outcome between studies using the G-TLFB versus other self-report assessments.

Results: Mixed-effect subgroup analyses indicated that the effect size for gambling frequency was significantly lower for studies using the G-TLFB (g = -0.15) than studies using other self-report assessments (g = -0.71). When examining whether the use of the G-TLFB was associated with the posttreatment effect size for gambling frequency in a random-effect metaregression model that controlled for study grant funding status, the use of the G-TLFB was not significantly associated with effect size. The effect size for gambling expenditure was not significantly different between studies using the G-TLFB (g = -0.22) versus studies using other self-report assessments (g = -0.38).

Conclusions: The G-TLFB yields more conservative and precise effect size estimates of posttreatment gambling frequency, but not gambling expenditure, than other self-report assessments. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Compared with men, women are disproportionately affected by alcohol, including greater risks of behavioral impairment and relapse from abstinence-based treatments. One potential mechanism underlying this disparity is ovarian hormone fluctuations across menstrual cycle phases, particularly estradiol (E2). Preclinical and clinical studies have shown that E2 levels positively correlate with alcohol consumption, suggesting E2 modulates drinking. Rewarding properties of alcohol are thought to mediate this relationship. The present study tested the degree to which women report increased rewarding effects from alcohol and heightened attention to alcohol-related cues when E2 was elevated during the late follicular phase of the menstrual cycle.

Method: Fifty women aged 21-29 participated in a within-subjects placebo-controlled study examining how menstrual cycle phase alters the rewarding properties of alcohol and alcohol-associated cues when sober and intoxicated, as measured by their attentional bias toward alcohol-associated cues and subjective reports. Measures were obtained following 0.60 g/kg alcohol and placebo during the early follicular phase when E2 was low and the late follicular phase (i.e., ovulation) when E2 was elevated.

Results: Attentional bias to alcohol-associated cues was greater during the late follicular phase in both sober and intoxicated states. Women reported rewarding effects from alcohol, but no effects of phase were observed.

Conclusions: The findings suggest that the rewarding properties of alcohol-associated cues might be enhanced during the late follicular phase of the menstrual cycle when E2 is elevated, possibly increasing the risk for excessive drinking in women during this phase. (PsycInfo Database Record (c) 2024 APA, all rights reserved).