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Original Articles

Characteristic substance misuse profiles among youth entering an urban emergency department: neighborhood correlates and behavioral comorbidities

, PhD, , PhD, , MD, , PhD, , PhD & , MD
Pages 671-681 | Received 12 Oct 2015, Accepted 31 Mar 2016, Published online: 17 Jun 2016
 

ABSTRACT

Background: Little is known about characteristic profiles of substance use – and their individual- and neighborhood-level correlates – among high-risk youth. Objectives: To identify characteristic substance misuse profiles among youth entering an urban emergency department (ED) and explore how those profiles relate to individual- and community-level factors. Methods: Individual-level measures came from screening surveys administered to youth aged 14–24 at an ED in Flint, Michigan (n = 878); alcohol outlet and crime data came from public sources. Binary misuse indicators were generated by using previously established cut-points on scores of alcohol and drug use severity. Latent class analysis (LCA) identified classes of substance use; univariate tests and multinomial models identified correlates of class membership. Results: Excluding non-misusers (51.5%), LCA identified three classes: marijuana-only (27.9%), alcohol/marijuana (16.1%), and multiple substances (polysubstance) (4.6%). Moving from non-misusers to polysubstance misusers, there was an increasing trend in rates of: unprotected sex, motor vehicle crash, serious violence, weapon aggression, and victimization (all p < .001). Controlling for individual-level variables, polysubstance misusers lived near more on-premises alcohol outlets than non-misusers (RRR = 1.42, p = .01) and marijuana-only misusers (RRR = 1.31, p = .03). Alcohol/marijuana misusers were more likely to live near high violent crime density areas than non-misusers (RRR = 1.83, p = .01), and were also more likely than marijuana-only misusers to live in areas of high drug crime density (RRR = 1.98, p = .03). No other relationships were significant. Conclusion: Substance-misusing youth seeking ED care have higher risk for other problem behaviors and neighborhood-level features display potential for distinguishing between use classes. Additional research to elucidate at-risk sub-populations/locales has potential to improve interventions for substance misuse by incorporating geographic information.

Funding

We disclose the role of NIDA R01 024646 (PI: Cunningham) in funding this work and thank the project staff, and well as the staff and patients at Hurley Medical Center for making this work possible. Dr. Goldstick’s effort was also supported by NIDA R03 DA039003-02 (PI: Goldstick) and Dr. Stoddard is supported by NIDA grant K01-DA034765 (PI: Stoddard).

Additional information

Funding

We disclose the role of NIDA R01 024646 (PI: Cunningham) in funding this work and thank the project staff, and well as the staff and patients at Hurley Medical Center for making this work possible. Dr. Goldstick’s effort was also supported by NIDA R03 DA039003-02 (PI: Goldstick) and Dr. Stoddard is supported by NIDA grant K01-DA034765 (PI: Stoddard).

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