Wide-ranging polysubstance use is more prevalent in subcultures such as 'ravers' (dance club attendees) and those already dependent on substances. Health risks are elevated in these groups. Research into the prevention and treatment of polysubstance use is underdeveloped. There may be benefit in targeting specific polysubstance use and risk profiles in prevention and clinical research.
Results suggest that DRSE is a more salient cognitive construct than AE in early adolescence alcohol use. In this age group, prevention and treatment strategies that build refusal self-efficacy may be more effective than strategies that challenge AEs.
Aims Failure to complete high school predicts substantial economic and social disadvantage in adult life. The aim was to determine the longitudinal association of mid-adolescent polydrug use and high school non-completion, relative to other drug use profiles. Design A longitudinal analysis of the relationship between polydrug use in three cohorts at Grade 9 (age 14–15) and school non-completion (reported post high school). Setting A State-representative sample of students across Victoria, Australia. Participants 2287 secondary school students from 152 high schools. The retention rate was 85%. Measurements The primary outcome was noncompletion of Grade 12 (assessed at age 19–23 years). At Grade 9, predictors included 30 day use of eight drugs, school commitment, academic failure, and peer drug use. Other controls included socioeconomic status, family relationship quality, depressive symptoms, gender, age, and cohort. Findings Three distinct classes of drug use were identified - no drug use (31.7%), mainly alcohol use (61.8%), and polydrug use (6.5%). Polydrug users were characterised by high rates of alcohol, tobacco, and cannabis use. In the full model, mainly alcohol users and polydrug users were less likely to complete school than nondrug users [OR = 1.54 (95% CIs 1.17–2.03), and OR = 2.51 (95% CIs 1.45–4.33), respectively, ps < .001]. These effects were independent of school commitment, academic failure, peer drug use, and other controls. Conclusions Mid-adolescent polydrug use in Australia predicts subsequent school non-completion after accounting for a range of potential confounding factors. Adolescents who mainly consume alcohol are also at elevated risk of school non-completion.
From the pre-teen to the mid-teen years, rates of alcohol use and misuse increase rapidly. Cross-sectional research shows that positive family emotional climate (low conflict, high closeness) is protective, and there is emerging evidence that these protective mechanisms are different for girls versus boys. Aims To explore gender differences in the longitudinal impact of family emotional climate on adolescent alcohol use and exposure to peer drinking networks. Design Three-wave two-level (individual, within-individual over time) ordinal logistic regression with alcohol use in the past year as the dependent measure and family variables lagged by one year. Setting Adolescents completed surveys during school hours. Participants 855 Australian students (modal age 10–11 years at baseline) participating in the International Youth Development Study (Victoria, Australia). Measurements These included emotional closeness to mother/father, family conflict, parent disapproval of alcohol use, and peer alcohol use. Findings For girls, the effect of emotional closeness to mothers on alcohol use was mediated by exposure to high-risk peer networks. Parent disapproval of alcohol use was protective for both genders, but this effect was larger for boys versus girls, and there was no evidence that peer use mediated this effect. Peer drinking networks showed stronger direct risk effects than family variables. Conclusions Family factors unidirectionally impact on growth in adolescent alcohol use and effects vary with child gender.
Background: Alcohol use and illicit drug use peak during young adulthood (around 18–29 years of age), but comparatively little is known about polydrug use in nationally representative samples of young adults. Drawing on a nationally representative cross-sectional survey (Australian National Drug Strategy Household Survey), this study examines polydrug use patterns and associated psychosocial risk factors among young adults (n = 3,333; age 19–29).Method: The use of a broad range of licit and illicit drugs were examined, including alcohol, tobacco, cannabis, cocaine, hallucinogens, ecstasy, ketamine, GHB, inhalants, steroids, barbiturates, meth/amphetamines, heroin, methadone/buprenorphine, other opiates, painkillers, and tranquilizers/sleeping pills. Latent class analysis was employed to identify patterns of polydrug use.Results: Polydrug use in this sample was best described using a 5-class solution. The majority of young adults predominantly used alcohol only (52.3%), alcohol and tobacco (34.18%). The other classes were cannabis, ecstasy, and licit drug use (9.4%), cannabis, amphetamine derivative, and licit drug use (2.8%), and sedative and alcohol use (1.3%). Young adult males with low education and/or high income were most at risk of polydrug use.Conclusion: Almost half of young adults reported polydrug use, highlighting the importance of post-high school screening for key risk factors and polydrug use profiles, and the delivery of early intervention strategies targeting illicit drugs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.