Predictors of reported influenza vaccination in HIV-infected women in the United States, 2006-2007 and 2007-2008 seasons

Keri N. Althoff, Kathryn Anastos, Kenrad E. Nelson, David D. Celentano, Gerald B. Sharp, Ruth M. Greenblatt, Audrey L. French, Don J. Diamond, Susan Holman, Mary Young, Stephen J. Gange

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Objective: To estimate the cumulative incidence of self-reported influenza vaccination ("vaccination coverage") and investigate predictors in HIV-infected women. Methods: In an ongoing cohort study of HIV-infected women in five US cities, data from two influenza seasons (2006-2007 n= 1209 and 2007-2008 n= 1161) were used to estimate crude and adjusted prevalence ratios (aPR) and 95% confidence intervals ([,]) from Poisson regression with robust variance models using generalized estimating equations (GEE). Results: In our study, 55% and 57% of HIV-infected women reported vaccination during the 2006-2007 and 2007-2008 seasons, respectively. Using data from both seasons, older age, non-smoking status, CD4 T-lymphocyte (CD4) count ≥200 cells/mm3, and reporting at least one recent healthcare visit was associated with increased vaccination coverage. In the 2007-2008 season, a belief in the protection of the vaccine (aPR=1.38 [1.18, 1.61]) and influenza vaccination in the previous season (aPR=1.66 [1.44, 1.91]) most strongly predicted vaccination status. Conclusion: Interventions to reach unvaccinated HIV-infected women should focus on changing beliefs about the effectiveness of influenza vaccination and target younger women, current smokers, those without recent healthcare visits, or a CD4 count <200 cells/mm3.

Original languageEnglish (US)
Pages (from-to)223-229
Number of pages7
JournalPreventive Medicine
Issue number5-6
StatePublished - May 2010


  • Adult
  • Cohort study
  • Female
  • Highly active antiretroviral therapy
  • Influenza vaccine
  • Multi-center study
  • United States
  • Vaccine coverage

ASJC Scopus subject areas

  • Epidemiology
  • Public Health, Environmental and Occupational Health


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