The effects of rurality on substance use disorder diagnosis: A multiple-groups latent class analysis

Billy Brooks, Matthew McBee, Robert Pack, Arsham Alamian

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Background Rates of accidental overdose mortality from substance use disorder (SUD) have risen dramatically in the United States since 1990. Between 1999 and 2004 alone rates increased 62% nationwide, with rural overdose mortality increasing at a rate 3 times that seen in urban populations. Cultural differences between rural and urban populations (e.g., educational attainment, unemployment rates, social characteristics, etc.) affect the nature of SUD, leading to disparate risk of overdose across these communities. Methods Multiple-groups latent class analysis with covariates was applied to data from the 2011 and 2012 National Survey on Drug Use and Health (n = 12.140) to examine potential differences in latent classifications of SUD between rural and urban adult (aged 18 years and older) populations. Nine drug categories were used to identify latent classes of SUD defined by probability of diagnosis within these categories. Once the class structures were established for rural and urban samples, posterior membership probabilities were entered into a multinomial regression analysis of socio-demographic predictors’ association with the likelihood of SUD latent class membership. Results Latent class structures differed across the sub-groups, with the rural sample fitting a 3-class structure (Bootstrap Likelihood Ratio Test P value = 0.03) and the urban fitting a 6-class model (Bootstrap Likelihood Ratio Test P value < 0.0001). Overall the rural class structure exhibited less diversity in class structure and lower prevalence of SUD in multiple drug categories (e.g. cocaine, hallucinogens, and stimulants). Conclusions This result supports the hypothesis that different underlying elements exist in the two populations that affect SUD patterns, and thus can inform the development of surveillance instruments, clinical services, and prevention programming tailored to specific communities.

Original languageEnglish (US)
Pages (from-to)24-29
Number of pages6
JournalAddictive Behaviors
Volume68
DOIs
StatePublished - May 1 2017
Externally publishedYes

Keywords

  • DSM-IV substance use disorder criteria
  • Latent class analysis
  • Rural health
  • Substance abuse and dependence

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Clinical Psychology
  • Toxicology
  • Psychiatry and Mental health

Fingerprint

Dive into the research topics of 'The effects of rurality on substance use disorder diagnosis: A multiple-groups latent class analysis'. Together they form a unique fingerprint.

Cite this