Juan A Esquivel-Mendoza, Brooke G Rogers, Steven A Safren
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Linear regression analyses predicting HIV RNA Viral Load (log transformed) and CD4 Count were employed with three actigraphy sleep variables: sleep efficiency, wake after sleep onset (WASO), and sleep quantity. Backward entry regression with both significant actigraphy predictors, sleep efficiency and WASO, included as predictors resulted in sleep efficiency remaining in the model and WASO being removed. Separate models revealed that each one-unit increase in sleep efficiency was associated with a b = 0.032-point decrease in the log-transformed HIV RNA viral load (<i>p</i> = 0.03) and for each one-unit increase in wake after sleep onset (WASO) was associated with a b = 0.35-point increase in the log-transformed HIV RNA viral load (<i>p</i> = 0.04). Sleep quantity, however, was not, and none were associated with absolute CD4 count. The findings add to the evidence for an association of objectively measured poorer sleep efficiency being associated with higher HIV RNA viral load. 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引用次数: 0
摘要
睡眠障碍是影响艾滋病病毒感染者(PLWH)的普遍和干扰性疾病,其发病率高于普通人群。较低的睡眠质量与艾滋病感染者较差的健康相关生活质量和免疫功能有关,尽管睡眠通常是主观评估的。本研究旨在探讨通过动图测量的客观睡眠/觉醒模式与艾滋病结果之间的关联。研究人员(N = 87)从美国东南部的一家公共城市艾滋病诊所招募。参与者被要求佩戴行动监测仪一周(范围:5-8 天)。对数病毒载量和绝对 CD4 通过病历审查获得。预测 HIV RNA 病毒载量(对数转换)和 CD4 计数的线性回归分析采用了三个动态影像睡眠变量:睡眠效率、睡眠开始后唤醒(WASO)和睡眠量。将睡眠效率和 WASO 这两个重要的动图预测因子作为预测因子进行后向输入回归,结果是睡眠效率保留在模型中,而 WASO 被移除。单独的模型显示,睡眠效率每增加一个单位,对数转换后的 HIV RNA 病毒载量就会减少 b = 0.032 个点(p = 0.03),而睡眠开始后觉醒(WASO)每增加一个单位,对数转换后的 HIV RNA 病毒载量就会增加 b = 0.35 个点(p = 0.04)。然而,睡眠量与CD4绝对计数无关。这些研究结果进一步证明,客观测量的较差睡眠效率与较高的 HIV RNA 病毒载量有关。该研究对临床实践的启示包括将评估和解决睡眠效率问题作为艾滋病综合临床护理的一部分。
Sleep actigraphy results and HIV health outcomes in an urban HIV clinic sample.
Sleep disorders are prevalent and interfering conditions that affect people living with HIV (PLWH) at higher rates than the general population. Lower quality sleep has been associated with poorer health-related quality of life and immune function in PWH, though sleep is typically assessed subjectively. The current study aimed to examine the association between objective sleep/wake patterns measured via actigraphy with HIV outcomes. Participants (N = 87) were recruited from a public, urban HIV clinic located in the Southeastern United States. Participants were instructed to wear actigraphy monitors for one week (Range: 5-8 days). Log viral load and absolute CD4 were obtained via medical chart review. Linear regression analyses predicting HIV RNA Viral Load (log transformed) and CD4 Count were employed with three actigraphy sleep variables: sleep efficiency, wake after sleep onset (WASO), and sleep quantity. Backward entry regression with both significant actigraphy predictors, sleep efficiency and WASO, included as predictors resulted in sleep efficiency remaining in the model and WASO being removed. Separate models revealed that each one-unit increase in sleep efficiency was associated with a b = 0.032-point decrease in the log-transformed HIV RNA viral load (p = 0.03) and for each one-unit increase in wake after sleep onset (WASO) was associated with a b = 0.35-point increase in the log-transformed HIV RNA viral load (p = 0.04). Sleep quantity, however, was not, and none were associated with absolute CD4 count. The findings add to the evidence for an association of objectively measured poorer sleep efficiency being associated with higher HIV RNA viral load. Implications for clinical practice include assessing and addressing sleep efficiency as part of comprehensive clinical HIV care.