Understanding the Nonmedical Use of Prescription Medications in the U.S. High School Adolescents

Cynthia G. Ayres; Nancy M. Pontes; Manuel C.F. Pontes

doi:10.1177/1059840516677322

Understanding the Nonmedical Use of Prescription Medications in the U.S. High School Adolescents

Cynthia G. Ayres, Nancy M. Pontes, Manuel C.F. Pontes

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2 Scopus citations

Abstract

The purpose of the study was to examine relationships between sleep insufficiency, depressive symptoms, demographic factors, and the nonmedical use of prescription medications (NMUPMs) in the U.S. high school students. Data from the 2013 Youth Risk Behavioral Surveillance System were used (n = 13,570) and analyzed using IBM SPSS 23™ (complex samples). Significant bivariate relationships were found between the NMUPMs and sleep (p <.01), feeling sad (p <.001), grade level (p <.001), and race/ethnicity (p <.01). Logistic regression analyses found that all of the independent variables were significant in predicting the likelihood of the NMUPMs. Findings underscore the potential impact of preventing NMUPMs in high school adolescents by improving their sleep behaviors and assessing adolescents for depressive symptoms.

Original language	English (US)
Pages (from-to)	269-276
Number of pages	8
Journal	Journal of School Nursing
Volume	33
Issue number	4
DOIs	https://doi.org/10.1177/1059840516677322
State	Published - Aug 1 2017

All Science Journal Classification (ASJC) codes

Nursing (miscellaneous)

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10.1177/1059840516677322

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abstract = "The purpose of the study was to examine relationships between sleep insufficiency, depressive symptoms, demographic factors, and the nonmedical use of prescription medications (NMUPMs) in the U.S. high school students. Data from the 2013 Youth Risk Behavioral Surveillance System were used (n = 13,570) and analyzed using IBM SPSS 23{\texttrademark} (complex samples). Significant bivariate relationships were found between the NMUPMs and sleep (p <.01), feeling sad (p <.001), grade level (p <.001), and race/ethnicity (p <.01). Logistic regression analyses found that all of the independent variables were significant in predicting the likelihood of the NMUPMs. Findings underscore the potential impact of preventing NMUPMs in high school adolescents by improving their sleep behaviors and assessing adolescents for depressive symptoms.",

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Understanding the Nonmedical Use of Prescription Medications in the U.S. High School Adolescents

Abstract

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