TY - JOUR
T1 - Correlates of Nonmedical Prescription Opioid Use Among U.S. Adolescents
AU - Barnett, Tracey E.
AU - Thompson, Erika L.
AU - Litt, Dana M.
AU - Lewis, Melissa A.
N1 - Publisher Copyright:
© 2019 American Journal of Preventive Medicine
PY - 2019/11
Y1 - 2019/11
N2 - Introduction: The purpose of this study is to assess risk factors, including other substance use, for nonmedical prescription opioid use among U.S. adolescents. Methods: A secondary data analysis of the 2017 Youth Risk Behavior Survey was conducted (n=10,175) in 2018. The outcome was nonmedical prescription opioid use. Predictor variables included other substance use, mood, sleep, academic performance, and demographic characteristics. Survey-weighted procedures in SAS, version 9.4 were used, and an adjusted logistic regression model was conducted. Results: Among the sampled adolescents, 13.8% (95% confidence limit=12.4%, 15.3%) reported nonmedical prescription opioid use. Nonmedical prescription opioid use was more likely among participants aged 15 years (versus 16 years), American Indian/Alaskan Natives, and those who reported being sad or hopeless. All other substance use was significantly associated with increased odds of nonmedical prescription opioid use. Nonmedical prescription opioid use was 1.5 times more likely among electronic vapor users (AOR=1.58, 95% CI=1.34, 1.86), 2 times more likely among cigarette (AOR=2.49, 95% CI=2.16, 2.88) and marijuana users (AOR=2.45, 95% CI=2.05, 2.93), and almost 3 times as likely among alcohol users (AOR=2.98, 95% CI=2.18, 4.07). Conclusions: Study findings suggest a need for more interventions for nonmedical prescription opioid use among adolescents in the U.S. Information on nonmedical prescription opioid use should be added to all substance use prevention programs for adolescents. Moreover, future research needs to identify longitudinal predictors of adolescent nonmedical prescription opioid use to inform prevention efforts.
AB - Introduction: The purpose of this study is to assess risk factors, including other substance use, for nonmedical prescription opioid use among U.S. adolescents. Methods: A secondary data analysis of the 2017 Youth Risk Behavior Survey was conducted (n=10,175) in 2018. The outcome was nonmedical prescription opioid use. Predictor variables included other substance use, mood, sleep, academic performance, and demographic characteristics. Survey-weighted procedures in SAS, version 9.4 were used, and an adjusted logistic regression model was conducted. Results: Among the sampled adolescents, 13.8% (95% confidence limit=12.4%, 15.3%) reported nonmedical prescription opioid use. Nonmedical prescription opioid use was more likely among participants aged 15 years (versus 16 years), American Indian/Alaskan Natives, and those who reported being sad or hopeless. All other substance use was significantly associated with increased odds of nonmedical prescription opioid use. Nonmedical prescription opioid use was 1.5 times more likely among electronic vapor users (AOR=1.58, 95% CI=1.34, 1.86), 2 times more likely among cigarette (AOR=2.49, 95% CI=2.16, 2.88) and marijuana users (AOR=2.45, 95% CI=2.05, 2.93), and almost 3 times as likely among alcohol users (AOR=2.98, 95% CI=2.18, 4.07). Conclusions: Study findings suggest a need for more interventions for nonmedical prescription opioid use among adolescents in the U.S. Information on nonmedical prescription opioid use should be added to all substance use prevention programs for adolescents. Moreover, future research needs to identify longitudinal predictors of adolescent nonmedical prescription opioid use to inform prevention efforts.
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U2 - 10.1016/j.amepre.2019.05.006
DO - 10.1016/j.amepre.2019.05.006
M3 - Article
C2 - 31564603
AN - SCOPUS:85072625377
SN - 0749-3797
VL - 57
SP - e175-e179
JO - American Journal of Preventive Medicine
JF - American Journal of Preventive Medicine
IS - 5
ER -