Latent classes of polysubstance use among adolescents—a systematic review

Tomczyk, Samuel; Isensee, Barbara; Hanewinkel, Reiner

doi:10.1016/j.drugalcdep.2015.11.035

Cited by 189 publications

(216 citation statements)

References 45 publications

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“…Similar to previous studies (Tomczyk et al, 2016), results revealed that AO was the most prevalent substance-use typology among adolescent populations. Yet, we documented that concurrent substance use was also common among U.S. adolescents, making up 42% of past-month substance use.…”

Section: Discussionsupporting

confidence: 89%

“…The variability in results in the current literature may be due to differences in the sample (e.g., age, region, racial/ethnic composition), operationalization of substance use (which ranges from past two weeks to lifetime use), methodology (e.g., mixture modeling versus population estimates), and the typology of concurrent use examined (Conway et al, 2013; Tomczyk et al, 2016). Only one study to date has examined membership in all possible classes of single and concurrent use of alcohol, marijuana, and cigarettes based on sex and race/ethnicity.…”

Section: Introductionmentioning

confidence: 99%

“…To date, most of the research on risk for substance use disorders (SUDs) among adolescents has examined each substance in isolation. However, substance use often occurs concurrently, with 11–15% of adolescents reporting past-year use of alcohol, marijuana and cigarettes (A+M+C; (Tomczyk et al, 2016). Moreover, the Substance Abuse and Mental Health Services Administration (SAMHSA; 2015c) documented that 51% of binge drinkers age 12–17 report past-month cigarette use, compared to 2% of same-aged non-drinkers.…”

Section: Introductionmentioning

confidence: 99%

“…Some researchers have noted no difference in substance use typology between White and Hispanic adolescents (Lanza et al, 2010), whereas several others have suggested that Hispanic youth are more likely to be concurrent substance users than Whites (Connell et al, 2009; Gilreath et al, 2014; Gilreath et al, 2015). Among African American adolescents, several studies have documented a lower prevalence of concurrent substance use compared to White adolescents (Connell et al, 2009; Gilreath et al, 2015; Lanza et al, 2010; Tomczyk et al, 2016). However, when examining typology of concurrent use, researchers have found variability in risk between African American and White adolescents.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Trends in typologies of concurrent alcohol, marijuana, and cigarette use among US adolescents: An ecological examination by sex and race/ethnicity

Banks

Rowe

Mpofu

et al. 2017

Drug and Alcohol Dependence

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Substance use during adolescence is a public health concern due to associated physical and behavioral health consequences. Such consequences are amplified among concurrent substance users. Although sex and racial/ethnic differences in single-substance use have been observed, the current literature is inconclusive as to whether differences exist in the prevalence of concurrent use. The current study used data from the 2011–2014 National Survey on Drug Use and Health to examine typologies (single and concurrent patterns) of alcohol, marijuana, and cigarette use among current adolescent users age 12–18 by sex and race/ethnicity. Participants were 14,667 White, Hispanic, African American, Asian, and Native American adolescents. The most common typology was alcohol only, followed by concurrent use of alcohol and marijuana. Weighted prevalence estimates indicated that adolescent females were more likely to be current users of alcohol only, whereas male adolescents were more likely to belong to all other typologies. Compared to Whites, racial/ethnic minorities had larger proportions of marijuana only users and were generally less likely than or equally likely to be concurrent users. One exception was for African American adolescents, who were more likely to be alcohol and marijuana users than their White counterparts. Results suggest that concurrent substance use is common among U.S. adolescents, making up over 40% of past-month use, but typologies of use vary by sex and race/ethnicity. Preventive interventions should consider all typologies of use rather than only single substance exposures and address patterns of use that are most pertinent to adolescents based on sex and race/ethnicity.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Trends in typologies of concurrent alcohol, marijuana, and cigarette use among US adolescents: An ecological examination by sex and race/ethnicity

Banks

Rowe

Mpofu

et al. 2017

Drug and Alcohol Dependence

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“…As shown in a recent review article [28,] the measurements of polydrug use vary notably, indicating that there is no established practice of how polydrug use is measured. Therefore, in order to demonstrate how distinct prevalence estimates different measurements provide, 4 measures (variables) representing different degrees of strictness were formed.…”

Section: Methodsmentioning

confidence: 99%

Measuring Concurrent Polydrug Use in General Populations: A Critical Assessment

Karjalainen

Kuussaari²,

Kataja³

et al. 2017

Eur Addict Res

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Background/Aims: Polydrug use is a complicated phenomenon that is measured in a wide variety of different ways. Using Finland as an example, we aimed to demonstrate how the prevalence and prevalence trends of concurrent polydrug use (CPU) varied in the general population based on the different measurements used. Methods: Population-based Drug Surveys conducted every 4 years during 1998-2014 were used. CPU was measured with different measurements: strict, medial and loose definition of CPU, which were based on different combinations of alcohol, illicit drugs, pharmaceutical drugs and cigarettes used during the last 12 months/30 days. Logistic regression was used to estimate the p values for assessing trends. Results: Depending on the measurements used, the prevalence of CPU in 2014 varied between 2.0 and 18.7%. Different definitions also produced contradictory trends of CPU: there was a modest increase in prevalence if it was measured with a medial (p < 0.001) or strict (p = 0.054) definition, but when measured with the loose definition (only measure that included smoking), there was a decrease in prevalence (p < 0.001). Conclusions: The prevalence of CPU varies greatly depending on the measurement used, as does the course of the prevalence trends. The concept of simultaneous polydrug use may capture the phenomenon better compared to the concept of CPU.

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Who is seeking whom? A person-centred approach to help-seeking in adults with currently untreated mental health problems via latent class analysis

Tomczyk

Schomerus

Stolzenburg

et al. 2018

Soc Psychiatry Psychiatr Epidemiol

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In our analysis, MHP utilisation was even lower (9.0%) than in previous studies. However, MHP utilisers appeared to suffer from more serious conditions than other latent classes. As informal sources such as family and friends were present in all latent classes, help-seeking behaviour seems to transcend traditional MHP-focused approaches. Further research is necessary to investigate tenability and trajectories of different latent classes of help-seeking in larger and representative samples with longer follow-ups.

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Latent classes of polysubstance use among adolescents—a systematic review

Cited by 189 publications

References 45 publications

Trends in typologies of concurrent alcohol, marijuana, and cigarette use among US adolescents: An ecological examination by sex and race/ethnicity

Trends in typologies of concurrent alcohol, marijuana, and cigarette use among US adolescents: An ecological examination by sex and race/ethnicity

Measuring Concurrent Polydrug Use in General Populations: A Critical Assessment

Who is seeking whom? A person-centred approach to help-seeking in adults with currently untreated mental health problems via latent class analysis

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