Minority adolescents and substance use risk/protective factors: a focus on inhalant use.
Despite the fact that inhalant use is a growing problem among youth in the United States, relatively little attention has been paid to the demographic and social factors related to its use. This study used data from a household survey of adolescents in Washington state, and found that race/ethnicity was a strong predictor of lifetime prevalence of inhalant use, with Native-American youth being particularly likely to use inhalants. Comparing the age at initiation of inhalant use to other legal and illegal substances, we found that cigarettes and inhalants showed the lowest age at initiation. We conducted logistic regressions on lifetime prevalence of inhalant use, and compared these models to other substances. In general, we found that attachment to parents. parents' drug use, and school attachment were strong predictors of lifetime use of marijuana, alcohol, and inhalants. However, while peer drug use was a strong predictor of marijuana and alcohol use, it was not a significant predictor of adolescents' use of inhalants. Our final set of analyses included inhalant use in regression models predicting other problem behaviors: these analyses demonstrated that inhalant use was a strong predictor of involvement in problem behavior.
Mosher
Clayton
C
Department of Sociology. Washington State University, Vancouver, WA 98686, USA. mosher@vancouver.wsu.edu
Rotolo
Thomas
T
Krupski
Dretha Phillips Antoinette
DP
Stark
Kenneth D
KD
D000336:Aerosols; D001741:Black or African American / Q000706:statistics & numerical data; D000428:Alcohol Drinking / Q000453:epidemiology / Q000208:ethnology; D001213:Asian / Q000706:statistics & numerical data; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D007198:Indians, North American / Q000706:statistics & numerical data; D016015:Logistic Models; D008385:Marijuana Smoking / Q000453:epidemiology* / Q000208:ethnology; D008913:Minority Groups / Q000706:statistics & numerical data*; D015995:Prevalence; D012307:Risk Factors; D019966:Substance-Related Disorders / Q000453:epidemiology* / Q000208:ethnology; D014861:Washington / Q000453:epidemiology
D000336:Aerosols