Investigating differences in sex, race/ethnicity, and impulsivity across substance user profiles: a person-centered approach

Latent profile analysis for health-related quality of life, sleep quality, morning and evening type, and internet addiction among medical students

Health-related quality of life, sleep quality, morning and evening types, and internet addiction are of significant importance to the development of medical students, yet they have rarely been studied. Taking this into consideration, the study aimed to confirm latent profiles in health-related quality of life, sleep quality, morning and evening types, and internet addiction in medical students and investigate the characteristics of participants in each profile to provide suggestions for students' health. This was an observational cross-sectional study including 1221 medical student subjects at China Medical University in 2019. Multiple correspondence analysis was the initial step to verify the correspondence, dispersion, and approximation of variable categories. Latent profile analysis was used to identify the multiple correspondences between the levels of variables. Three profiles were found, including: (1) The Low sleep quality profile was characterized by the lowest sleep quality among the three existing profiles. (2) The High health-related quality of life and Low internet addiction profile was characterized by the highest level of health-related quality of life but the lowest level of internet addiction. (3) The Low health-related quality of life and High internet addiction profile was characterized by the highest standardized values of internet addiction but the lowest standardized values of health-related quality of life. This study had important implications for improving student health and supported the medical universities and hospitals in implementing targeted policies based on distinctive student characteristics.

Educational Attainment and Differences in Patterns of Alcohol, Cannabis, and Tobacco Use Among Young Adults

Multigroup latent profile analysis examined whether patterns of alcohol, cannabis, and tobacco use varied between college student and nonstudent young adults ( N = 745), and profiles were characterized by alcohol- and drug-related problems, psychological distress, and perceived stress. Findings supported three profiles (high use across substances, primarily high tobacco use, and low use across substances) among students. Students in the high use group, relative to other groups, experienced the highest number of problems and psychological distress. Among nonstudents, two profiles emerged (high use across substances and primarily high tobacco use), and noncollege participants in the high use group experienced the highest problems, psychological distress, and perceived stress. Students, compared to nonstudents, reported more variability in their substance use profiles, as a low substance use group was not observed among nonstudents. Prevention and intervention efforts should target nonstudents, which could aid in reducing negative health outcomes based on disparities in education.

Borderline Personality Disorder as a Predictor of Drug Use Variety: Cognitive Vs. Affective Mechanisms

Borderline personality disorder has been identified as a risk factor for polydrug use. Despite this, there remains a lack of understanding of which characteristics of the disorder provide the mechanisms for this relationship. This study examined a set of constructs as mechanisms explaining the borderline personality disorder-polydrug use relationship that are divided into affective and cognitive categories. The Pathways to Desistance data were used in analyses. Generalized structural equation modeling was used to examine the direct relationship between borderline personality disorder and test for attenuation of this direct effect. A bootstrap resampling process was used to estimate standard errors utilized to specify specific and total indirect effects of mechanism variables and their significance level. Results indicated that greater symptom severity of borderline personality disorder predicted increased drug use variety. This relationship was attenuated by 70% when hypothesized mechanisms were included and became nonsignificant. It appeared that this attenuation was mainly due to sensation-seeking. Findings indicate that interventions for individuals suffering from borderline personality disorder with polydrug use issues may find utility in structuring programming around mitigating sensation-seeking.

Examining the heterogeneity of polysubstance use patterns in young adulthood by age and college attendance

Substance use in young adulthood and polysubstance users (PSU), in particular, pose unique risks for adverse consequences. Prior research on young adult PSU has identified multiple classes of users, but most work has focused on college students. We examined PSU patterns by age and college attendance during young adulthood in two nationally representative samples. Using National Epidemiological Survey on Alcohol and Related Conditions (NESARC) Wave 1 and NESARC-III data sets, multigroup latent class analysis (MG-LCA) was employed to examine PSU patterns based on age (18-24 vs. 25-34) and determine whether solutions were similar (i.e., statistically invariant) by college attendance/graduation. Classes were estimated by binary past-year use of sedatives, tranquilizers, opioids/painkillers, heroin, amphetamines/stimulants, cocaine, hallucinogens, club drugs, and inhalants, and past-year frequency of alcohol, cigarette, and cannabis use. PSU patterns are largely replicated across waves. Model fit supported 3-class solutions in each MG-LCA: Low frequency-limited-range PSU (alcohol, cigarettes, and cannabis only), medium-to-high frequency limited-range PSU (alcohol, cigarettes, and cannabis only), and extended-range PSU (ER PSU; all substances). Apart from one model, MG-LCA solutions were not invariant by college attendance/graduation, suggesting important differences between these groups. Except for alcohol, cannabis, and cigarette use frequency, results showed that probabilities of illicit and prescription drug use declined in the older age group. Findings also supported examining college and noncollege youth separately when studying PSU. ER PSU may be uniquely vulnerable to coingesting substances, particularly for nongraduates, warranting future research to classify patterns of simultaneous PSU and identify predictors and consequences of high-risk combinations (e.g., alcohol and opioids). (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The association of type of cannabis product used and frequency of use with problematic cannabis use in a sample of young adult cannabis users

Research exploring patterns and predictors of problematic cannabis use behaviors among young adults is limited. This knowledge is essential for intervening to prevent abuse and dependence outcomes.

METHODS

Young adult cannabis users (Mage = 19.2[SD = 0.8]) in Southern California (N = 1007) were classified by patterns of problematic cannabis use from the Cannabis Abuse Screening Test, using Latent Class Analysis. Multinomial regression evaluated the association of frequency of use (no past 30 day use, infrequent [use on 1-2 of past 30 days], semi-frequent [use on 3-9 of the past 30 days], and frequent [use on 10 or more of the past 30 days]) for each cannabis product type (combustible, edible, vaporized, concentrate, blunt) with class membership.

RESULTS

Four distinct classes of cannabis-related problems were identified: "non-symptomatic" (no problems; 33.8 %), "non-recreational use" (before noon and when alone; 34.5 %), "moderate use problems" (before noon, alone, and memory problems; 8.0 %), and "severe cannabis problems" (all 6 problems; 23.7 %). Semi-frequent (AOR range: 1.85-4.63;ps<0.05) and frequent (AOR range: 9.18-24.2;ps<0.05) use of combustible and vaporized cannabis, frequent blunt use (AORs range: 4.03-10.3;ps<0.05), and semi-frequent, but not frequent edible use (AOR range: 2.57-2.73;ps<0.05) was associated with higher odds of classification in any problematic use class (vs. non-symptomatic).

CONCLUSIONS

Differences in cannabis use problems across these classes and their predictors reveal the heterogeneity in cannabis-related problems experienced by young people. Combustible cannabis, vaporized cannabis, and blunt cannabis use may confer the most risk for cannabis abuse and dependency outcomes, with more frequent days of use contributing to increased patterns of risk.

Alcohol and Cannabis Cross Motives, Class Analysis, and Substance Use among Concurrent Users

Background: Substance use motives refer to an individual's reasons for engaging in substance use. Although the respective alcohol and cannabis literatures have linked specific substance-use motives to indices of use, less is known about motives in concurrent users, particularly examination of cross-motives (e.g., cannabis motives predicting alcohol use). Methods: The present work examined motives for use in a sample of concurrent users to assess relations between motives and alcohol and cannabis outcomes (quantity, frequency, and use disorder symptoms) using both variable- and person-centered approaches. Finally, the present work aimed to discern the impact of timeframe selection for defining concurrent use (i.e., past year, past two weeks). Participants (N = 524) consisted of individuals that endorsed having used both alcohol and cannabis in the past year with subsample (N = 192) of individuals endorsing past two-week concurrent use. Results: Univariate linear regression analyses revealed small to medium positive relations between all alcohol motives and alcohol outcomes and small to medium positive relations between cannabis social, coping, enhancement, and expansion motives and cannabis use. Regressions examining cross-motives and multivariate models revealed wide variability in relations. Mixture analyses revealed a three-class solution (i.e., High Motives, Positive Alcohol, and Low Conformity) for past year concurrent users and a two-class solution (i.e., Low Motives and High Motives) for past two-week concurrent users. Discussion: Examination of motive classes revealed differences in substance, particularly cannabis, outcomes as a function of class membership. Findings are useful in classifying concurrent users' motives and highlight the importance of timeframe selection.

E-cigarette use among Asian Americans: a systematic review

The use of electronic cigarettes (e-cigarettes) has been rising among adolescents and adults in the United States, including among Asian Americans. However, despite being one of the largest racial/ethnic minority groups, the specific trends and patterns of e-cigarette use among Asian Americans are understudied and unclear. This review aimed to summarize relevant information in the last two decades. This systematic review followed the a priori guide outlined by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Articles were gathered from PsycINFO, PubMed, Sage Journals Online, ScienceDirect, and SpringerLink. Forty articles were reviewed and analyzed. Most articles reviewed only reported on the prevalence rate of e-cigarettes among Asian Americans and indicated regional differences. Results noted between- and within-group differences among racial/ethnic groups that warrant further examination. There is a dearth of information regarding health outcomes and correlates or predictors of e-cigarette use among Asian Americans. Despite its popularity and prevalence among Asian Americans, the use of e-cigarettes and related factors or outcomes deserves more nuanced studies and analyses. It is important to delineate subgroup differences by adjusting study designs and data analytic methods to glean meaningful information regarding Asian American's e-cigarette use in the future.

E-cigarette use among young adults: A latent class analysis examining co-use and correlates of nicotine vaping

INTRODUCTION

Although a significant proportion of young adults report e-cigarette use (nicotine vaping), little is known about co-use with other substances, including correlates that predict co-use. The current study aimed to identify co-occurring substance use patterns and evaluate multiple correlates in a college student sample.

METHODS

435 participants (21.4 ± 2.9 years; 57% women; 41% Hispanic/Latina/o, 29% Asian-American/Pacific Islander, 17% Caucasian/White, 6% Multiracial, and 5% African-American/Black) from a large, urban university were recruited in-person and completed an online survey in the fall of 2018 and the spring of 2019.

RESULTS

Using latent class analysis (LCA), four substance use patterns were identified: Binge Drinkers (7%); e-cigarette Users (8%); Cannabis Users (14%); and Low Substance Users (71%). The e-cigarette Users class was characterized by moderate or greater use (>5 days of nicotine vaping in past 30-days) as well as past 30-day binge drinking and cannabis use. Higher levels of deviant peer affiliation (aOR = 1.28[1.11-1.47], p < .01), impulsivity-lack of premeditation (aOR = 1.36[1.05-1.78], p < .05), and lower levels of social anxiety (aOR = 0.94[0.88-0.99], p < .05), predicted membership in the e-cigarette Users class.

CONCLUSIONS

The most pervasive co-occurring substance use was observed among the e-cigarette Users class. Young adults reporting moderate or greater levels of nicotine vaping tended to engage in binge drinking and cannabis use, which may ultimately increase risk of deleterious health outcomes. Deviant peer affiliation and impulsivity-lack of premeditation (but not internalizing symptoms) predicted membership in the e-cigarette Users class; consequently, public health efforts may benefit from increased selectivity in targeting young adults for e-cigarette prevention and intervention services.