Alcohol- and drug-related consequences across latent classes of substance use among American Indian adolescents
Introduction
Substance use among American Indian (AI) adolescents represents a major public health concern (Whitbeck, Hoyt, Johnson, & Chen, 2006). Although there is great heterogeneity among groups, AI adolescents have been found to exhibit high rates of use for nearly all substances (Friese et al., 2011, Stanley et al., 2014, Swaim and Stanley, 2018, Whitbeck et al., 2014) and have an increased likelihood of having used marijuana, inhalants, cigarettes, or having drank alcohol until intoxicated compared to their non-AI peers (Spillane et al., 2019, Stanley and Swaim, 2015). Research has also found AI adolescents to be more likely to initiate using substances at young ages (Beauvais, 1996, Friese et al., 2011, Henry et al., 2011, Stanley and Swaim, 2015, Whitesell et al., 2012, Yu and Stiffman, 2007). Furthermore, a strong body of literature finds AI adolescents experience disproportionate substance-related consequences, substance-related mortality and morbidity and increased likelihood of developing a substance-use disorder (Henry et al., 2011, Landen et al., 2014, Centers for Disease Control and Prevention, 2008, Indian Health Services, 2018, Stanley et al., 2014, Szlemko et al., 2006).
Given the clear substance-related health disparity with AI adolescents, it is vital to consider patterns of using two or more substances within this population; however, to date, a dearth of research has examined the use of two or more substances among AI adolescents. To begin to address this gap, Stanley and Swaim (2018) conducted a latent class analysis among a large, population-based sample of AI adolescents on or near reservations in order to examine patterns in endorsement of the use of various substances. They identified subgroups of individuals using “latent classes” —or otherwise unobservable groups— who share similar characteristics and use substances in similar combinations within this population. They found four classes of substance use for AI adolescents: no past month substance use (the largest class); marijuana and cigarette use only; alcohol, marijuana, and cigarette use only; and polysubstance use, defined as use of any other substance in addition to alcohol, marijuana, and cigarettes (the smallest class; Stanley & Swaim, 2018). Understanding these latent classes may provide valuable insight on nuanced substance use and related health disparities within this population.
The work of Stanley & Swaim (2018) is crucial given that little research has examined polysubstance use in this vulnerable population. Polysubstance use among adolescents has distinct harmful substance-related consequences, including greater likelihood of engagement in risky sexual behavior, greater psychological distress (e.g., anxiety, depression), and greater likelihood of not completing school (Connell et al., 2009, Kelly et al., 2015, Kelly et al., 2015, Morley et al., 2015, Stanley and Swaim, 2018). Although a strong body of literature shows AI adolescents experience disproportionate substance-related consequences (Henry et al., 2011, Landen et al., 2014, Centers for Disease Control and Prevention, 2008, Indian Health Services, 2018, Stanley et al., 2014, Szlemko et al., 2006), we know very little about how these consequences differ based on patterns of endorsement of the use of various substances, and in particular, how polysubstance use contributes to this health disparity. Understanding patterns of endorsing use of various substances is imperative in order to gain insight into AI adolescent substance-related consequences. Thus, the purpose of the present study is to expand upon the work of Stanley and Swaim (2018) by examining differences in alcohol- and drug-related consequences across the four classes of substance use identified by Stanley and Swaim (2018): no past month substance use; marijuana and cigarette use only; alcohol, marijuana, and cigarette use only; and polysubstance use. Given the clear health disparity among AI adolescents who use substances and experience disproportionate substance-related harm, we hypothesize that adolescents in classes characterized by use of a greater number of substances would also endorse experiencing the greatest alcohol- and other drug-related consequences.
Section snippets
Participants and procedures
Data used for the present study were collected between 2009 and 2013 as part of a larger study examining rates and correlates of substance use among adolescents attending schools on or near AI reservations. Schools were invited to participate if they were on or near an AI reservation and if at least 20% of their student body identified as AI. The schools invited were stratified into six geographic regions in which AIs live based upon the 2000 United States Census (Snipp, 2005), thereby making
Results
See Table 1 for LCA results. We examined solutions with one- to five-classes and selected the four-class solution as optimal based on established guidelines (DiStefano and Kamphaus, 2006, Nylund et al., 2007). Although a two-class solution had a higher entropy value and significant LMR Likelihood Ratio Test, we selected the four-class solution on the basis of the SSABIC. The bootstrap likelihood ratio test is a superior method for determining the correct number of classes, but is not available
Discussion
The present study aimed to expand on the work of Stanley and Swaim (2018) by examining alcohol- and drug-related consequences across latent classes of substance use in a large, population-based sample of American Indian adolescents living on or near reservations. Consistent with our expectations, we found that adolescents in classes characterized by the use of a greater number of substances also reported experiencing greater alcohol- and drug-related consequences with one exception.
Contributors
Melissa Schick designed the study, conducted the analyses, and assisted with manuscript preparation. Silvi Goldstein conducted the literature searches and review and contributed to manuscript preparation. Tessa Nalven assisted with the literature review, abstract, and provided editorial assistance for the manuscript. Dr. Nichea Spillane provided supervision and guidance on the design of the study and analyses, and provided editorial assistance for the manuscript.
Role of Funding Sources
This work was supported by the National Institute on Drug Abuse (NIDA) grant R01DA003371. The funding source had no role in the study design, data collection, analysis, and interpretation, writing of the report, or decision to submit the article for publication.
CRediT authorship contribution statement
Melissa R. Schick: Conceptualization, Methodology, Formal analysis, Writing - original draft. Silvi C. Goldstein: Writing - original draft. Tessa Nalven: Writing - review & editing. Nichea S. Spillane: Conceptualization, Resources, Supervision.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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