Psychology of Addictive Behaviors最新文献

Objective: Social network analysis (SNA) characterizes the structure and composition of a person's social relationships. Network features have been associated with alcohol consumption in observational studies, primarily of university undergraduates. No studies have investigated whether indicators from a person's social network can accurately identify the presence of alcohol use disorder (AUD), offering an indirect strategy for identifying AUD.

Method: Two cross-sectional case-control designs examined the clinical utility of social network indicators for identifying individuals with AUD (cases) versus demographically matched drinkers without AUD (controls). Study 1 (N = 174) used high-resolution egocentric SNA assessment, whereas Study 2 (N = 189) used a brief assessment.

Results: In Study 1, significant differences between AUD+ participants and controls were present for network alcohol severity (i.e., heavy drinking days; d = 1.23) and frequency (d = 0.35), but not network structural features. Network alcohol severity exhibited very good classification of AUD+ individuals versus controls (area under the curve [AUC] = 0.80), whereas network frequency did not (AUC = 0.61). In Study 2, significant differences were present for network alcohol severity (d = 1.02), quantity (d = 0.74), and frequency (d = 0.43), and severity exhibited good differentiation (AUC = 0.76).

Conclusions: Social network indicators of alcohol involvement robustly differentiated AUD+ individuals from matched controls, and the brief assessment performed almost as well as the high-resolution assessment. These findings provide proof-of-concept for severity-related SNA indicators as promising novel clinical assessments for AUD. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Near-misses are a structural characteristic of gambling products that can be engineered within modern digital games. Over a series of preregistered experiments using an online slot machine simulation, we investigated the impact of near-miss outcomes on subjective ratings (motivation, valence) and two behavioral measures (speed of gambling, bet size).

Method: Participants were recruited using Prolific and gambled on an online three-reel slot machine simulator that delivered a one in three rate of X-X-O near-misses. Study 1 measured trial-by-trial subjective ratings of valence and motivation (Study 1a, n = 169; Study 1b, n = 148). Study 2 (n = 170) measured spin initiation latencies as a function of the previous trial outcome. Study 3 (n = 172) measured bet size as a function of the previous trial outcome.

Results: In Study 1a, near-misses increased the motivation to continue gambling relative to full-misses, supporting Hypothesis 1. On valence ratings, near-misses were rated significantly more positively than full-misses, in the opposite direction to Hypothesis 2; this effect was confirmed in a close replication (Study 1b). In Study 2, participants gambled faster following near-misses relative to full-misses, supporting Hypothesis 3. In Study 3, participants significantly increased their bet size following near-misses relative to full-misses, supporting Hypothesis 4.

Conclusion: Across all dependent variables, near-miss outcomes yielded statistically significant differences from objectively equivalent full-miss outcomes, corroborating the "near-miss effect" across both subjective and behavioral measures, and in the environment of online gambling. The unexpected findings on valence ratings are considered in terms of boundary conditions for the near-miss effect, and competing theoretical accounts based on frustration/regret, goal generalization, and skill acquisition. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Recovery capital (RC) is a framework for conceptualizing the resources individuals use to support alcohol and other drug recovery across social, physical, human, and cultural domains. The goal of this study was to identify subgroups of individuals in recovery with distinct combinations of RC across domains and characteristics of individuals with unique RC patterns.

Method: Latent profile analyses investigated patterns in both within-domain amount and variability of RC across each of the four domains using the Multidimensional Inventory of Recovery Capital, a theoretically and psychometrically sound RC measure. The sample included U.S. participants closely reflecting 2020 Census demographics (n = 482, 49% female, 38% racial/ethnic minority, M_age = 42.57) identifying as having resolved a prior problem with alcohol (alone or with other drugs).

Results: Latent profile analyses distinguished four RC profiles: Low/Inconsistent (23%), Moderate/Consistent (43%), Moderate/Inconsistent (12%), and High/Consistent (22%). Females and individuals who were unemployed, nonabstinent, and had greater alcohol problem severity were more likely to belong to the Low/Inconsistent profile. Individuals in unassisted recovery were more likely to belong to the Moderate/Inconsistent profile. Older age and more time in recovery were associated with High/Consistent profile membership. Race/ethnicity was not associated with profile membership.

Conclusions: These person-oriented analyses elucidate complex patterns of resources that individuals utilize during recovery and individual characteristics underpinning differences across RC patterns. The empirically derived subgroups in this heterogeneous sample highlight multiple combinations of resources that individuals leverage to achieve recovery and indicate characteristics of individuals who may need greater amounts and/or consistency of RC to continue sustaining recovery. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Growing recognition of the importance of addressing substance use among emerging adults has led to a rapid expansion of recovery services on college campuses. However, existing estimates on collegiate recovery programs or communities (CRPs/Cs) and other services are outdated or lack rigor, leaving the extent of these resources unclear. This study aimed to fill this gap in our understanding by providing current estimates of recovery-related resources.

Method: Utilizing the Python web scraping library BeautifulSoup, we gathered a large sample of ".edu"-hosted webpages (N = 995) with references to recovery services (e.g., "collegiate recovery", "peer support"). Eligible webpages (n = 552) were screened by a team of 11 reviewers to extract information on these services.

Results: During extraction, we identified 270 institutions that advertised on-campus recovery services for students. Of these institutions, 176 advertised formal CRPs/Cs. A majority of CRPs/Cs (n = 164) advertised mutual aid meetings and sober/drug-free social activities (n = 138), while only 83 advertised drop-in centers. Relatively few historically Black colleges or universities (n = 5), Hispanic-serving institutions (n = 21), or native-serving institutions (n = 0) hosted recovery services.

Conclusions: On-campus services to support recovery have greatly expanded since previous estimates, but gaps may exist in the services provided by these programs. By providing an updated estimate and examining service uniformity, this study can aid in future expansion and standardization efforts to support students in recovery. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: The current qualitative study examines the perspectives of women with opioid use disorder (OUD) and professionals that serve them on barriers to engaging in overdose prevention and harm reduction practices and recommendations for improving engagement.

Method: Semistructured interviews (N = 42) were conducted with women with a history of OUD (n = 20), substance use disorder treatment professionals (n = 12), and criminal legal professionals (n = 10). The interviews were inductively coded to identify themes and subthemes regarding experiences with overdose and harm reduction practices.

Results: Themes included heightened vulnerability to overdose, harm reduction challenges faced by women with OUD, and recommendations for overdose prevention and harm reduction practices. Heightened vulnerability to overdose included concerns about toxic supply and concerns about women's drug use behaviors. Challenges to women's harm reduction engagement included lack of knowledge and education about harm reduction tools and strategies and continued stigma toward harm reduction practices. Finally, recommendations for improving harm reduction engagement included increasing accessibility of harm reduction tools, expanding harm reduction education, and shifting away from "abstinence-only" paradigms.

Conclusions: Finding ways to teach women with OUD about harm reduction, more effectively distribute harm reduction tools to them, and reduce stigma among providers and professionals is essential to reduce overdose risk for women with OUD. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: How people define recovery may affect their recovery goals, service use, and ultimately their outcomes. We examined recovery definitions among adults in recovery from an alcohol use disorder (AUD) who had different service use histories.

Method: We analyzed online survey data from 1,492 adults with resolved lifetime AUD in "treated recovery" (any use of specialty services, such as inpatient or outpatient rehabilitation; n = 375), "assisted recovery" (any use of lay services, such as mutual-help groups, and no use of specialty services; n = 174), or "independent recovery" (no use of specialty or lay services; n = 943). Surveys assessed recovery definitions using the 39-item What Is Recovery? (WIR) scale. We compared endorsement of WIR domains and individual recovery elements across groups using survey-weighted chi-square tests and logistic regression.

Results: Endorsement of WIR scale domains was significantly lower among the independent than treated and assisted groups, but few differences emerged between the treated and assisted groups. Two recovery elements were endorsed by approximately equivalent majorities of all groups: "being honest with myself" (92.7%-94.8%) and "taking care of my physical health" (87.4%-90.9%). Five additional elements were similarly endorsed by large majorities (≥ 85%) in each group, albeit at lower levels in the independent group.

Conclusions: People who have experienced AUD and have not obtained alcohol services may have a narrower definition of recovery compared to those accessing treatment or attending mutual-help groups. This suggests a need to broaden alcohol services to better match varied recovery definitions; however, some highly endorsed elements suggest commonalities across recovery pathways. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Research among young adults (YA), in samples of majority White college students, indicates links between posting about alcohol on social media and self-reported drinking behavior. We sought to extend this work by examining unique associations between public versus private posting about alcohol and the high-risk outcome of alcohol-related blackouts among a sample of racially/ethnically diverse YA not in 4-year college.

Method: A sample of 499 participants (ages 18-29; 52.5% female; 37.5% Black/African American, 26.9% White, 25.3% Hispanic/Latinx) completed an online survey about social media use and drinking behavior.

Results: Across three platforms (Instagram, TikTok, Twitter [now known as "X"]), public posting on Instagram was most common. Adjusting for covariates, a higher frequency of private posting about alcohol was associated with a higher frequency of past-month blackouts. Tests of simple effects of posting on blackouts within racial/ethnic subgroups indicated that private posting about alcohol was significantly associated with past-month blackouts only among those who most strongly identified as Black/African American or White but not among those who most strongly identified as Hispanic/Latinx. Further, public posting was significantly associated with past-month blackouts, though the association was specific to White participants.

Conclusions: Whether posting about alcohol may be useful in identifying risky drinking behavior may depend on racial/ethnic identification as well as whether private or public posting is being considered. Results have implications for eventual online interventions, which can identify individuals potentially at risk for hazardous drinking based on their social media posting behavior. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: To examine early school leaving in a longitudinal cohort of all high school students treated for substance use disorder (SUD) and their demographic counterparts in Norway.

Method: From the National Patient and National Population Registries, we extracted (a) all high school students born in 1991-1992 who received SUD treatment during 2009-2010 (N = 648; n_alcohol = 95, n_cannabis = 327, and n_{other drugs} = 226) and (b) their age-and-gender matched counterparts (n = 647). From the National Educational Database, we obtained enrollment and graduation status for these two cohorts throughout the designated school period of 5 years. We estimated the hazards of early school leaving as a function of students' treatment for alcohol, cannabis, and other drug use disorders and other known risk factors.

Results: Nine out of 10 adolescents receiving SUD treatment left high school early (89%) compared with one in four (27%) from the matched cohort; 422 (73.5%) of these left high school during or after the treatment year. Multivariate discrete-time models revealed significant and ordered associations between receiving SUD treatment and early school leaving, HR_alcohol = 3.09 [1.96, 4.89], HR_cannabis = 3.83 [2.64, 5.56], HR_{other drugs} = 5.16 [3.32, 8.03], even after accounting for individual-level (sex, immigrant background, criminal charges, and mental health treatment), family-level (family structure, parental education, and family income), and structural risk factors (municipal size, county employment, and dropout rates).

Conclusion: Adolescents receiving SUD treatment remain especially vulnerable for early school leaving. These findings underscore the importance of improving and coordinating health and educational services for youth in SUD treatment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Researchers have documented robust associations between food and alcohol disturbance (FAD-intoxication; restricting caloric intake before or during alcohol consumption to experience a quicker and/or more intense alcohol intoxication) and alcohol use and related negative consequences. However, most of this research has utilized cross-sectional designs. Consequently, two crucial gaps have not yet been filled: (a) the separation of the relatively stable, between-person and the fluctuating, within-person components in the relations between FAD-intoxication and alcohol-related constructs; and (b) the examination of the directionality of these within-person relations.

Method: Participants were college students (n = 686) who reported past-month binge drinking. Most participants identified as White (71.3%), female (78.4%), non-Hispanic (87.8%), with a mean age of 20.64 (SD = 3.25). Participants completed three online surveys assessing FAD-intoxication (College Eating and Drinking Behaviors Scale), alcohol use (Daily Drinking Questionnaire), and related negative consequences (Brief Young Adult Alcohol Consequences Questionnaire).

Results: Analyses revealed that FAD-intoxication was positively associated with alcohol use and related negative consequences at the between-person level. Additionally, at the within-person level, FAD-intoxication at Time 2 significantly predicted alcohol use at Time 3. Notably, the cross-lagged effect from FAD-intoxication at Time 1 to alcohol use at Time 2 was not significant. FAD-intoxication did not significantly predict negative consequences. Neither use nor consequences significantly predicted FAD-intoxication.

Conclusions: Our results suggest that FAD-intoxication is relevant to the study of alcohol use and related negative consequences and should be considered in interventions targeting alcohol use and related negative consequences among students who endorse binge drinking. (PsycInfo Database Record (c) 2024 APA, all rights reserved).