Department of Health Management & Policy, Drexel University School of Public Health, Philadelphia, Pennsylvania 19102, USA.
Womens Health Issues. 2010 Sep;20(5):335-42. doi: 10.1016/j.whi.2010.03.005. Epub 2010 Jun 25.
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.
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).
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).
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.
通过对五种风险因素(无保护性行为、多个性伴侣、大量饮酒、吸食快克可卡因或海洛因、以及遭受身体暴力)的定性特征分析,并结合这些特征与种族/民族与未使用高效抗逆转录病毒治疗(HAART)之间的关联,探讨不使用 HAART 与种族/民族之间的关系。
采用隐马尔可夫模型对参加妇女艾滋病病毒机构间研究的 HIV 感染妇女的纵向样本(2002 年至 2005 年期间随访,n=802)进行了风险因素特征和随时间变化的特征变化的总结。
从五种风险因素中确定了四个与四个不同潜在状态相对应的风险因素特征。轨迹分析表明,所有风险因素概率较高或所有风险因素概率较低的状态在时间上都相对稳定。处于最高风险状态并不会显著增加不使用 HAART 的可能性(比值比 [OR],1.05;95%置信区间 [CI],0.6-1.8)。然而,处于一个高概率的大量饮酒和遭受身体暴力的潜在状态,以及其他三个风险因素略有升高,会显著增加不使用 HAART 的可能性(OR,1.4;95% CI,1.1-1.9)。
研究表明,针对大量饮酒且近期遭受身体暴力以及有其他风险因素的女性,干预措施可能会提高 HAART 的使用率。需要进一步研究聚类与风险因素模式之间的关系以及与 HAART 的使用。