城市社区青少年同时使用药物的潜在类群:与心理健康、获得毒品和酒精的机会以及风险意识的相关性。

David T Lardier, Alexandra N Davis, Carolina S Verdezoto, Lynda Cruz, Sabrina Magliulo, Andriana Herrera, Pauline Garcia-Reid, Robert J Reid
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引用次数: 0

摘要

背景:青少年同时使用药物与身体和心理健康问题的增加有关。在服务不足的城市环境中,有色人种青少年的这些问题往往更为严重。本研究的目的是了解服务不足的城市社区青少年的酗酒和同时使用药物的模式,从而提供有针对性的预防和治疗建议:本研究调查了服务不足的城市社区青少年的数据(N = 1789;56.90% 为女性;70.86% 为西班牙裔/拉丁美洲裔;平均年龄 = 15.96 ± 1.56)。利用潜类分析(LCA)和多项式逻辑回归模型,分析确定了潜类成员资格的独立相关因素:LC 组 2:同时使用毒品和酒精,包括使用甲基苯丙胺、大麻和合成大麻,以及使用酒精(n = 74;4.2%);LC 组 3:同时使用毒品和酒精,但不使用大麻(n = 204;11.39%);LC 组 4:高度同时使用毒品和酒精(n = 204;11.40%);以及 LC 组 5:同时使用毒品但不使用酒精(n = 1101;61.52%)。潜伏类别组与社会人口学特征之间存在显著的组间差异。多项式逻辑回归模型确定了社会人口学特征和药物使用的必然临床特征与酗酒和同时使用药物的潜在类别分组之间的关联:了解青少年同时使用药物的 LC 组别对于提供有针对性的干预和治疗方案以及早期干预方案至关重要,这些方案可能有助于减少青少年时期的药物使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Latent Class Groups of Concurrent Substance Use Among Adolescents in an Urban Community: Correlates With Mental Health, Access to Drugs and Alcohol, and Risk Perception.

Background: Concurrent substance use among adolescents has been associated with an increase in physical and mental health problems. These outcomes tend to be exacerbated among adolescents of color in underserved urban settings. The purpose of this study was to understand alcohol and concurrent drug use patterns among adolescents in an underserved urban community to provide targeted prevention and treatment recommendations.

Method: This study examined data among adolescents in an underserved urban community (N = 1789; 56.90% female; 70.86% Hispanic/Latino/a; meanage = 15.96 ± 1.56). Using latent class analysis (LCA) and multinomial logistic regression modeling, analyses identified independent correlates of latent class membership.

Results: Five latent classes (LC) were identified including LC group 1: Predominant alcohol use and limited to no concurrent-drug use (n = 213; 11.9%); LC group 2: Concurrent drug and alcohol use including methamphetamine, marijuana and synthetic marijuana use, and alcohol use (n = 74; 4.2%); LC group 3: Concurrent drug and alcohol use, with no marijuana use (n = 204; 11.39%); LC group 4: High Concurrent drug use and alcohol use (n = 204; 11.40%); and LC group 5: Concurrent drug use without alcohol use (n = 1101; 61.52%). Significant between group differences were noted between latent class groups and sociodemographic characteristics. Multinomial logistic regression models identified the associations between sociodemographic characteristics and corollary clinical features of substance use on latent class groupings of alcohol and concurrent drug use.

Conclusion: Understanding concurrent substance use LC groups among adolescents is essential to providing targeted interventions and treatment programs, as well as early intervention programs that may help reduce substance use during adolescence.

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