title: Obesity Among HIV-Infected Adults Receiving Medical Care in the United States: Data From the Cross-Sectional Medical Monitoring Project and National Health and Nutrition Examination Survey.
abstract: Our objective was to compare obesity prevalence among human immunodeficiency virus (HIV)-infected adults receiving care and the U.S. general population and identify obesity correlates among HIV-infected men and women.Cross-sectional data was collected in 2009 to 2010 from 2 nationally representative surveys: Medical Monitoring Project (MMP) and National Health and Nutrition Examination Survey (NHANES).Weighted prevalence estimates of obesity, defined as body mass index ≥30.0 kg/m, were compared using prevalence ratios (PR, 95% confidence interval [CI]). Correlates of obesity in HIV-infected adults were examined using multivariable logistic regression.Demographic characteristics of the 4006 HIV-infected adults in MMP differed from the 5657 adults from the general U.S. population in NHANES, including more men (73.2% in MMP versus 49.4% in NHANES, respectively), black or African Americans (41.5% versus 11.6%), persons with annual incomes <$20,000 (64.5% versus 21.9%), and homosexuals or bisexuals (50.9% versus 3.9%). HIV-infected men were less likely to be obese (PR 0.5, CI 0.5-0.6) and HIV-infected women were more likely to be obese (PR1.2, CI 1.1-1.3) compared with men and women in the general population, respectively. Among HIV-infected women, younger age was associated with obesity (<40 versus >60 years). Among HIV-infected men, correlates of obesity included black or African American race/ethnicity, annual income >$20,000 and <$50,000, heterosexual orientation, and geometric mean CD4+ T-lymphocyte cell count >200 cells/μL.Obesity is common, affecting 2 in 5 HIV-infected women and 1 in 5 HIV-infected men. Correlates of obesity differ for HIV-infected men and women; therefore, different strategies may be needed for the prevention and treatment.
authors.affiliation: From Division of HIV/AIDS Prevention (AMTP, SCW, CLM, MKR, ACHR, JS); Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, Georgia (AMTP); United States Public Health Service, Rockville, Maryland (AMTP, SCW); Oak Ridge Institute for Science and Education (MKR); Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia (ACHR); and Department of Internal Medicine, Division of Infectious Diseases, University of Texas Medical School at Houston, Houston, Texas, USA (TKB).
authors.forename: Angela M
authors.initials: AM
authors.lastname: Thompson-Paul
authors.forename: Stanley C
authors.initials: SC
authors.lastname: Wei
authors.forename: Christine L
authors.initials: CL
authors.lastname: Mattson
authors.forename: McKaylee
authors.initials: M
authors.lastname: Robertson
authors.forename: Alfonso C
authors.initials: AC
authors.lastname: Hernandez-Romieu
authors.forename: Tanvir K
authors.initials: TK
authors.lastname: Bell
authors.forename: Jacek
authors.initials: J
authors.lastname: Skarbinski
mesh_terms: D000293:Adolescent; D000328:Adult; D001741:Black or African American; D017677:Age Distribution; D015992:Body Mass Index; D018791:CD4 Lymphocyte Count; D003430:Cross-Sectional Studies; D005260:Female; D015658:HIV Infections / Q000150:complications* / Q000208:ethnology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D009765:Obesity / Q000150:complications* / Q000208:ethnology*; D015995:Prevalence; D062486:Public Health Surveillance; D017678:Sex Distribution; D019529:Sexuality; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology; D055815:Young Adult