Abstract: School Context, Family, and Individual Correlates across Patterns of High School E-Cigarette and Poly-Substance Use (Society for Social Work and Research 22nd Annual Conference - Achieving Equal Opportunity, Equity, and Justice)

School Context, Family, and Individual Correlates across Patterns of High School E-Cigarette and Poly-Substance Use

Schedule:
Friday, January 12, 2018: 2:45 PM
Marquis BR Salon 7 (ML 2) (Marriott Marquis Washington DC)
* noted as presenting author
Kevin Tan, PhD, Assistant Professor, University of Illinois at Urbana-Champaign, Urbana, IL
Jordan Davis, PhD, Assistant Professor, University of Southern California, Los Angeles, CA
Doug Smith, PhD, Associate Professor, University of Illinois at Urbana-Champaign, Urbana, IL
Background: E-cigarette use has dramatically increased by 900% among high school students from 2011 to 2015 (Office of Surgeon General, 2016). E-cigarettes use are also associated with use of other substances including traditional combustible cigarettes, alcohol, marijuana, and other illicit drugs. New patterns of poly-substance use (PSU) among high school students have resulted from the increasing popularity of e-cigarette use. However, to date, no studies have examined how the school context, family, and individual factors relate to contemporary patterns of PSU involving e-cigarettes.

Methods: Data is from the nationally representative 2014 12th grade Monitoring the Future Survey (MTF) (n=8,696). Youth self-reports of substance use relating to e-cigarette, regular combustible cigarette, binge drinking, marijuana, and other illicit drugs were used to derive patterns of PSU. Posterior probability-based multiple imputations were used to determine mean differences across patterns of PSU in school context (school extracurricular participation, perceptions of school norms against drug use, current academic grades, suspension or expulsion), family (parental involvement), and individual variables (sensation seeking, life satisfaction, perception of drug use risk). A three-step multinominal logistic regression was used to compare how school, family, and individual variables relate to the probabilities of class membership across patterns of PSU.  

Results: A 3-class model was chosen over the 4-class solution as it represented distinct PSU configurations. The “low level” users (75.1%) represented students who mostly abstained from substance use. The “pre-dominantly e-cigarette” users (8.4%) characterized youth who mainly use e-cigarettes with some amount of regular cigarette, marijuana, alcohol, and other drug use. The “poly-users” (16.4%) represented students who exhibited high amounts and frequencies of all substances. A number of school contextual factors differentiated the three patterns of PSU. Students with higher academic grades had lower odds of membership in the predominately e-cigarette group versus the low-level use group (OR = 0.83 [0.77-0.88]). Occurrences of suspension or expulsion were associated with higher odds of membership in the e-cigarette use group as compared to the low-level use (OR = 2.99 [1.29-6.98]). Pro-social school involvement was associated with lower odds of engagement among poly-users as compared to the e-cigarette use group (OR = 0.60 [0.42 – 0.80]). Important family and individual factors include parental involvement and sensation seeking. Higher parental involvement was associated with lower odds of engagement among poly-users as compared to the predominantly e-cigarette use group (OR = 0.49 [0.30 – 0.81]). Higher levels of sensation seeking were associated with higher odds of membership when comparing the e-cigarette use pattern and low-level users (OR: 1.28 [1.10 – 1.48]), and when comparing the poly-substance and e-cigarette use pattern (OR: 1.28 [1.04 – 1.56]).

Conclusions and Implications: The school context, among other family factors and individual characteristics, has important implications in understanding student involvement with PSU. Results indicate the importance of academic grades, serious school disciplinary problems (occurrence of suspension or expulsion), and school extracurricular activities to differentiate the different patterns of PSU. Findings illustrate the importance of screening for pertinent school, family, and individual risk factors to develop targeted interventions against youth substance use.