Prevalence and correlates for nonmedical use of prescription opioids among urban and rural residents. 2013

Karen H Wang, and William C Becker, and David A Fiellin
Robert Wood Johnson Foundation Clinical Scholars Program, Yale University School of Medicine, New Haven, CT 06520-8088, United States. karen.wang@yale.edu

BACKGROUND In the United States, rural areas have reported an increase in overdose deaths secondary to nonmedical use of prescription opioids. Little is known about the differences in nonmedical use of prescription opioids among urban and rural adults. METHODS Using the 2008-2009 National Survey on Drug Use and Health, we examined the prevalence of nonmedical use of prescription opioids in urban and rural counties and determined bivariate and multivariate associations, stratified by county. We also compared type of opioids, stratified by county. RESULTS Among 75,964 respondents, the prevalence of nonmedical use of prescriptions opioids was similar among residents in urban and rural counties (4.7% vs. 4.3%, p=0.15). Urban and rural residents with severe psychological distress and nonmedical use of other prescription medications were more likely to report nonmedical use of opioids. Urban residents whose first use of illicit drugs was between the age of 18 and 25 and who reported alcohol use were more likely to report nonmedical use. Black and Hispanic urban residents were less likely to use prescription opioids nonmedically compared to white urban residents. Rural residents were more likely than urban residents to use acetaminophen with propoxyphene (61.1% vs. 55.8%, p=0.02), methadone (14.8% vs. 9.1%, p=0.003) and acetaminophen with codeine (3.5% vs. 1.9%, p=0.05). CONCLUSIONS Prevalence and risk factors related to nonmedical use of opioids are similar between urban and rural residents; however rural residents report propoxyphene, codeine, and methadone use more than their urban counterparts. Prevention and treatment interventions may need to be tailored for specific communities.

UI MeSH Term Description Entries
D008297 Male Males
D003625 Data Collection Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data. Data Collection Methods,Dual Data Collection,Collection Method, Data,Collection Methods, Data,Collection, Data,Collection, Dual Data,Data Collection Method,Method, Data Collection,Methods, Data Collection
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000701 Analgesics, Opioid Compounds with activity like OPIATE ALKALOIDS, acting at OPIOID RECEPTORS. Properties include induction of ANALGESIA or NARCOSIS. Opioid,Opioid Analgesic,Opioid Analgesics,Opioids,Full Opioid Agonists,Opioid Full Agonists,Opioid Mixed Agonist-Antagonists,Opioid Partial Agonists,Partial Opioid Agonists,Agonist-Antagonists, Opioid Mixed,Agonists, Full Opioid,Agonists, Opioid Full,Agonists, Opioid Partial,Agonists, Partial Opioid,Analgesic, Opioid,Full Agonists, Opioid,Mixed Agonist-Antagonists, Opioid,Opioid Agonists, Full,Opioid Agonists, Partial,Opioid Mixed Agonist Antagonists,Partial Agonists, Opioid
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D012424 Rural Population The inhabitants of rural areas or of small towns classified as rural. Rural Residence,Rural Communities,Rural Spatial Distribution,Communities, Rural,Community, Rural,Distribution, Rural Spatial,Distributions, Rural Spatial,Population, Rural,Populations, Rural,Residence, Rural,Rural Community,Rural Populations,Rural Residences,Rural Spatial Distributions
D014505 Urban Population The inhabitants of a city or town, including metropolitan areas and suburban areas. Urban Residence,Urban Spatial Distribution,Distribution, Urban Spatial,Distributions, Urban Spatial,Population, Urban,Populations, Urban,Residence, Urban,Urban Populations,Urban Residences,Urban Spatial Distributions

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