BACKGROUND: Polysubstance use during adolescence is a significant public health concern. However, few studies have investigated patterns of substance use during this developmental window within the primary care setting. OBJECTIVES: This study used an empirical method to classify adolescents into substance use groups, and examines correlates of the empirically defined groups. METHODS: Data came from patients, ages 12-18 years, presenting to an urban, primary care community health clinics (Federally Qualified Health Centers) in two cities in the Midwestern United States (n = 1664). Latent class analysis (LCA) was used to identify classes of substance users. Multinomial logistic regression was used to examine variables associated with class membership. RESULTS: LCA identified three classes: class 1 (64.5%) exhibited low probabilities of all types of substance use; class 2 (24.6%) was characterized by high probabilities of cannabis use and consequences; and class 3 (10.9%) had the highest probabilities of substance use, including heavy episodic drinking and misuse of prescription drugs. Those in class 2 and class 3 were more likely to be older and have poorer grades, poorer health, higher levels of psychological distress and more sexual partners than those in class 1. Individuals in class 3 were also less likely to be African-American than those in class 1. CONCLUSION: Findings provide novel insight into the patterns of substance use among adolescents presenting to low-income urban primary care clinics. Future research should examine the efficacy of interventions that address the complex patterns of substance use and concomitant health concerns among adolescents.
BACKGROUND: Polysubstance use during adolescence is a significant public health concern. However, few studies have investigated patterns of substance use during this developmental window within the primary care setting. OBJECTIVES: This study used an empirical method to classify adolescents into substance use groups, and examines correlates of the empirically defined groups. METHODS: Data came from patients, ages 12-18 years, presenting to an urban, primary care community health clinics (Federally Qualified Health Centers) in two cities in the Midwestern United States (n = 1664). Latent class analysis (LCA) was used to identify classes of substance users. Multinomial logistic regression was used to examine variables associated with class membership. RESULTS: LCA identified three classes: class 1 (64.5%) exhibited low probabilities of all types of substance use; class 2 (24.6%) was characterized by high probabilities of cannabis use and consequences; and class 3 (10.9%) had the highest probabilities of substance use, including heavy episodic drinking and misuse of prescription drugs. Those in class 2 and class 3 were more likely to be older and have poorer grades, poorer health, higher levels of psychological distress and more sexual partners than those in class 1. Individuals in class 3 were also less likely to be African-American than those in class 1. CONCLUSION: Findings provide novel insight into the patterns of substance use among adolescents presenting to low-income urban primary care clinics. Future research should examine the efficacy of interventions that address the complex patterns of substance use and concomitant health concerns among adolescents.
Authors: John R Knight; Lon Sherritt; Shari Van Hook; Elizabeth C Gates; Sharon Levy; Grace Chang Journal: J Adolesc Health Date: 2005-08 Impact factor: 5.012
Authors: James G Linakis; Julie R Bromberg; T Charles Casper; Thomas H Chun; Michael J Mello; Hailey Ingebretsen; Anthony Spirito Journal: J Pediatr Date: 2019-04-06 Impact factor: 4.406
Authors: Meghan E Morean; Grace Kong; Deepa R Camenga; Dana A Cavallo; Patricia Simon; Suchitra Krishnan-Sarin Journal: Drug Alcohol Depend Date: 2016-02-22 Impact factor: 4.492