title: Risk factors for incident nonmedical prescription opioid use and abuse and dependence: results from a longitudinal nationally representative sample.
abstract: BACKGROUND
  There has been a significant increase in opioid prescriptions and the prevalence of opioid nonmedical use. Nonmedical use may lead to opioid abuse/dependence, a serious public health concern. The aim of this paper was to determine the mental and physical health predictors of incident nonmedical prescription opioid use (NMPOU) and abuse/dependence, and the impact of comorbidity in a longitudinal, nationally representative sample.
  
  
  METHODS
  Data come from Waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (N=34,653; ≥20 years old). Mental disorders were assessed using the Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV edition. Physical conditions were based on self-reports of physician-diagnoses. Multiple logistic regression models examined the associations between mental and physical health predictors at Wave 1 and their association to incident NMPOU and abuse/dependence disorders at Wave 2.
  
  
  RESULTS
  After adjusting for sociodemographics, Axis I and II mental disorders and physical conditions, the presence of mental disorders (i.e., mood, personality disorders and substance use disorders), physical conditions (i.e., increasing number of physical conditions, any physical condition, arteriosclerosis or hypertension, cardiovascular disease and arthritis) and sociodemographic factors (i.e., sex and marital status) at Wave 1 positively predicted incident abuse/dependence at Wave 2. Comorbid disorders increased the risk of NMPOU and abuse/dependence.
  
  
  CONCLUSIONS
  These results suggest the importance of mental and physical comorbidity as a risk for NMPOU and abuse/dependence, emphasizing the need for careful screening practices when prescribing opioids.
authors: University of Manitoba, Department of Psychiatry, Winnipeg, Manitoba, Canada.
authors: Cara
authors: C
authors: Katz
authors: Renée
authors: R
authors: El-Gabalawy
authors: Katherine M
authors: KM
authors: Keyes
authors: Silvia S
authors: SS
authors: Martins
authors: Jitender
authors: J
authors: Sareen
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D015897:Comorbidity; D003627:Data Interpretation, Statistical; D017831:Diagnosis, Dual (Psychiatry); D039721:Diagnostic and Statistical Manual of Mental Disorders; D004522:Educational Status; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D001523:Mental Disorders / Q000150:complications / Q000453:epidemiology; D008875:Middle Aged; D009293:Opioid-Related Disorders / Q000150:complications / Q000453:epidemiology*; D064226:Prescription Drug Diversion / Q000706:statistics & numerical data*; D012307:Risk Factors; D012737:Sex Factors; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology; D055815:Young Adult
keywords: Comorbidity; Epidemiology; NESARC; NMPOU; Nonmedical prescription opioid use; Opiates; Opioids; Risk factors
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