OBJECTIVES: Relationships between non-use of highly active antiretroviral therapy (HAART), race/ethnicity, violence, drug use, and other risk factors are investigated using qualitative profiles of five risk factors (unprotected sex, multiple male partners, heavy drinking, crack, cocaine or heroin use, and exposure to physical violence) and association of the profiles and race/ethnicity with non-use of HAART over time. METHODS: A hidden Markov model was used to summarize risk factor profiles and changes in profiles over time in a longitudinal sample of HIV-infected women enrolled in the Women's Interagency HIV Study with follow-up from 2002 to 2005 (n = 802). RESULTS: Four risk factor profiles corresponding to four distinct latent states were identified from the five risk factors. Trajectory analysis indicated that states characterized by high probabilities of all risk factors or by low probabilities of all risk factors were both relatively stable over time. Being in the highest risk state did not significantly elevate the odds of HAART non-use (odds ratio [OR], 1.05; 95% confidence interval [CI], 0.6-1.8). However, being in a latent state characterized by elevated probabilities of heavy drinking and exposure to physical violence, along with slight elevations in three other risk factors, significantly increased odds of HAART non-use (OR, 1.4; 95% CI, 1.1-1.9). CONCLUSION: The research suggests that HAART use might be improved by interventions aimed at women who are heavy drinkers with recent exposure to physical violence and evidence of other risk factors. More research about the relationship between clustering and patterns of risk factors and use of HAART is needed. 2010 Jacobs Institute of Women
OBJECTIVES: Relationships between non-use of highly active antiretroviral therapy (HAART), race/ethnicity, violence, drug use, and other risk factors are investigated using qualitative profiles of five risk factors (unprotected sex, multiple male partners, heavy drinking, crack, cocaine or heroin use, and exposure to physical violence) and association of the profiles and race/ethnicity with non-use of HAART over time. METHODS: A hidden Markov model was used to summarize risk factor profiles and changes in profiles over time in a longitudinal sample of HIV-infectedwomen enrolled in the Women's Interagency HIV Study with follow-up from 2002 to 2005 (n = 802). RESULTS: Four risk factor profiles corresponding to four distinct latent states were identified from the five risk factors. Trajectory analysis indicated that states characterized by high probabilities of all risk factors or by low probabilities of all risk factors were both relatively stable over time. Being in the highest risk state did not significantly elevate the odds of HAART non-use (odds ratio [OR], 1.05; 95% confidence interval [CI], 0.6-1.8). However, being in a latent state characterized by elevated probabilities of heavy drinking and exposure to physical violence, along with slight elevations in three other risk factors, significantly increased odds of HAART non-use (OR, 1.4; 95% CI, 1.1-1.9). CONCLUSION: The research suggests that HAART use might be improved by interventions aimed at women who are heavy drinkers with recent exposure to physical violence and evidence of other risk factors. More research about the relationship between clustering and patterns of risk factors and use of HAART is needed. 2010 Jacobs Institute of Women
Authors: W E Cunningham; L E Markson; R M Andersen; S H Crystal; J A Fleishman; C Golin; A Gifford; H H Liu; T T Nakazono; S Morton; S A Bozzette; M F Shapiro; N S Wenger Journal: J Acquir Immune Defic Syndr Date: 2000-10-01 Impact factor: 3.731
Authors: R Andersen; S Bozzette; M Shapiro; P St Clair; S Morton; S Crystal; D Goldman; N Wenger; A Gifford; A Leibowitz; S Asch; S Berry; T Nakazono; K Heslin; W Cunningham Journal: Health Serv Res Date: 2000-06 Impact factor: 3.402
Authors: Tracey E Wilson; Yolanda Barrón; Mardge Cohen; Jean Richardson; Ruth Greenblatt; Henry S Sacks; Mary Young Journal: Clin Infect Dis Date: 2002-01-09 Impact factor: 9.079
Authors: Judith A Cook; Mardge H Cohen; Dennis Grey; Lynn Kirstein; Jane Burke; Kathryn Anastos; Herminia Palacio; Jean Richardson; Tracey E Wilson; Mary Young Journal: Am J Public Health Date: 2002-01 Impact factor: 9.308
Authors: Judith A Cook; Mardge H Cohen; Jane Burke; Dennis Grey; Kathryn Anastos; Lynn Kirstein; Herminia Palacio; Jean Richardson; Tracey Wilson; Mary Young Journal: J Acquir Immune Defic Syndr Date: 2002-08-01 Impact factor: 3.731
Authors: Herminia Palacio; Xiuhong Li; Tracey E Wilson; Henry Sacks; Mardge H Cohen; Jean Richardson; Mary Young; Alvaro Muñoz Journal: AIDS Date: 2004-03-05 Impact factor: 4.177
Authors: Amy L Althoff; Alexei Zelenev; Jaimie P Meyer; Jeannia Fu; Shan-Estelle Brown; Panagiotis Vagenas; Ann K Avery; Jacqueline Cruzado-Quiñones; Anne C Spaulding; Frederick L Altice Journal: AIDS Behav Date: 2013-10
Authors: Allison M McFall; David W Dowdy; Carla E Zelaya; Kerry Murphy; Tracey E Wilson; Mary A Young; Monica Gandhi; Mardge H Cohen; Elizabeth T Golub; Keri N Althoff Journal: J Acquir Immune Defic Syndr Date: 2013-11-01 Impact factor: 3.731
Authors: Mardge H Cohen; Anna L Hotton; Ronald C Hershow; Alexandra Levine; Peter Bacchetti; Elizabeth T Golub; Kathryn Anastos; Mary Young; Deborah Gustafson; Kathleen M Weber Journal: J Acquir Immune Defic Syndr Date: 2015-12-15 Impact factor: 3.731
Authors: Panagiotis Vagenas; Marwan M Azar; Michael M Copenhaver; Sandra A Springer; Patricia E Molina; Frederick L Altice Journal: Curr HIV/AIDS Rep Date: 2015-12 Impact factor: 5.071
Authors: Ke Xu; Boyang Li; Kathleen A McGinnis; Rachel Vickers-Smith; Cecilia Dao; Ning Sun; Rachel L Kember; Hang Zhou; William C Becker; Joel Gelernter; Henry R Kranzler; Hongyu Zhao; Amy C Justice Journal: Nat Commun Date: 2020-10-20 Impact factor: 14.919