title: Do race, ethnicity, and psychiatric diagnoses matter in the prevalence of multiple chronic medical conditions?
abstract: BACKGROUND
  The proportion of people in the United States with multiple chronic medical conditions (MCMC) is increasing. Yet, little is known about the relationship that race, ethnicity, and psychiatric disorders have on the prevalence of MCMCs in the general population.
  
  
  METHODS
  This study used data from wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (N=33,107). Multinomial logistic regression models adjusting for sociodemographic variables, body mass index, and quality of life were used to examine differences in the 12-month prevalence of MCMC by race/ethnicity, psychiatric diagnosis, and the interactions between race/ethnicity and psychiatric diagnosis.
  
  
  RESULTS
  Compared to non-Hispanic Whites, Hispanics reported lower odds of MCMC and African Americans reported higher odds of MCMC after adjusting for covariates. People with psychiatric disorders reported higher odds of MCMC compared with people without psychiatric disorders. There were significant interactions between race and psychiatric diagnosis associated with rates of MCMC. In the presence of certain psychiatric disorders, the odds of MCMC were higher among African Americans with psychiatric disorders compared to non-Hispanic Whites with similar psychiatric disorders.
  
  
  CONCLUSIONS
  Our study results indicate that race, ethnicity, and psychiatric disorders are associated with the prevalence of MCMC. As the rates of MCMC rise, it is critical to identify which populations are at increased risk and how to best direct services to address their health care needs.
authors.affiliation: School of Social Work, Columbia University, New York, NY 10027, USA. ljc2139@columbia.edu
authors.forename: Leopoldo J
authors.initials: LJ
authors.lastname: Cabassa
authors.forename: Jennifer
authors.initials: J
authors.lastname: Humensky
authors.forename: Benjamin
authors.initials: B
authors.lastname: Druss
authors.forename: Roberto
authors.initials: R
authors.lastname: Lewis-Fernández
authors.forename: Arminda P
authors.initials: AP
authors.lastname: Gomes
authors.forename: Shuai
authors.initials: S
authors.lastname: Wang
authors.forename: Carlos
authors.initials: C
authors.lastname: Blanco
mesh_terms: D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data*; D000704:Analysis of Variance; D016009:Chi-Square Distribution; D015897:Comorbidity / Q000639:trends*; D005260:Female; D006306:Health Surveys; D006630:Hispanic or Latino / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008297:Male; D001523:Mental Disorders / Q000453:epidemiology* / Q000208:ethnology*; D008875:Middle Aged; D015995:Prevalence; D014481:United States / Q000453:epidemiology; D044465:White People / Q000706:statistics & numerical data*
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