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 > or =200 cells/mm(3), 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/mm(3). Copyright (c) 2010 The Institute For Cancer Prevention. All rights reserved.
OBJECTIVE: To estimate the cumulative incidence of self-reported influenza vaccination ("vaccination coverage") and investigate predictors in HIV-infectedwomen. METHODS: In an ongoing cohort study of HIV-infectedwomen 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-infectedwomen 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 > or =200 cells/mm(3), 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-infectedwomen 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/mm(3). Copyright (c) 2010 The Institute For Cancer Prevention. All rights reserved.
Authors: Kendra L Schwartz; Anne Victoria Neale; Justin Northrup; Joseph Monsur; Divya A Patel; Rodrigo Tobar; Pascale M Wortley Journal: J Gen Intern Med Date: 2006-04 Impact factor: 5.128
Authors: Angela Malaspina; Susan Moir; Susan M Orsega; Joshua Vasquez; Natalie J Miller; Eileen T Donoghue; Shyamasundaran Kottilil; Misrak Gezmu; Dean Follmann; Galina M Vodeiko; Roland A Levandowski; JoAnn M Mican; Anthony S Fauci Journal: J Infect Dis Date: 2005-03-24 Impact factor: 5.226
Authors: N A Hessol; M Schneider; R M Greenblatt; M Bacon; Y Barranday; S Holman; E Robison; C Williams; M Cohen; K Weber Journal: Am J Epidemiol Date: 2001-09-15 Impact factor: 4.897
Authors: Richard Kent Zimmerman; Mahlon Raymund; Janine E Janosky; Mary Patricia Nowalk; Michael J Fine Journal: Vaccine Date: 2003-03-28 Impact factor: 3.641
Authors: William W Thompson; David K Shay; Eric Weintraub; Lynnette Brammer; Carolyn B Bridges; Nancy J Cox; Keiji Fukuda Journal: JAMA Date: 2004-09-15 Impact factor: 56.272
Authors: Jochen Drewes; Phil C Langer; Jennifer Ebert; Dieter Kleiber; Burkhard Gusy Journal: Int J Environ Res Public Health Date: 2021-05-04 Impact factor: 3.390