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Self-Management Model fails to Predict Quality of Life for People Living with Dual Diagnosis of HIV and Diabetes
AIDS and Behavior ( IF 4.852 ) Pub Date : 2021-08-05 , DOI: 10.1007/s10461-021-03405-7
Julie Ann Zuñiga 1 , Adam Sales 2 , Dong Eun Jang 1 , Chelsi West Ohueri 1 , Greer Burkholder 3 , Richard Moore 4 , Thibaut Davy-Méndez 5 , Katerina Christopoulos 6 , Alexandra A García 1
Affiliation  

The objective of this study was to test a self-management model for self-management in people living with HIV and type 2 diabetes (PLWH + T2DM). We conducted a predictive, longitudinal study of data from a national research cohort of PLWH using lag analysis to test short- and long-term health outcomes for PLWH + T2DM. We used a dataset from the Center for AIDS Research (CFAR) Network of Integrated Clinic Systems (CNICS), a nation-wide research network of 8 clinics that serves PLWH. Patient-reported outcomes, collected at clinic visit, included depression, adherence, CD4 cell count, and health-related quality of life (HRQoL). We computed summary statistics to describe the sample. Using lag analysis, we then modeled the three variables of adherence, CD4 count, and HRQoL as a function of their predecessors in our conceptual model. In the final model, an increase of in medication adherence corresponded to a small increase in HRQoL. An increase in CD4 count corresponded to a small increase in HRQoL. An increase in lagged depression was associated with a small decrease in HRQoL. The model was not sufficient to predict short- or long-term outcomes in PLWH + T2DM. Although depression had a moderate impact, the final model was not clinically significant. For people with a dual diagnosis of HIV and T2DM, variables other than those traditionally addressed in self-management interventions may be more important.



中文翻译:

自我管理模型无法预测 HIV 和糖尿病双重诊断患者的生活质量

本研究的目的是测试一种用于 HIV 感染者和 2 型糖尿病 (PLWH + T2DM) 患者自我管理的自我管理模型。我们使用滞后分析对来自 PLWH 的国家研究队列的数据进行了预测性纵向研究,以测试 PLWH + T2DM 的短期和长期健康结果。我们使用了来自艾滋病研究中心 (CFAR) 综合诊所系统网络 (CNICS) 的数据集,这是一个由 8 个诊所组成的全国性研究网络,为 PLWH 提供服务。在门诊就诊时收集的患者报告结果包括抑郁、依从性、CD4 细胞计数和与健康相关的生活质量 (HRQoL)。我们计算了汇总统计数据来描述样本。然后使用滞后分析,我们将依从性、CD4 计数和 HRQoL 这三个变量建模为我们概念模型中它们前辈的函数。在最终模型中,药物依从性的增加对应于 HRQoL 的小幅增加。CD4 计数的增加对应于 HRQoL 的小幅增加。滞后抑郁症的增加与 HRQoL 的小幅下降有关。该模型不足以预测 PLWH + T2DM 的短期或长期结果。尽管抑郁症具有中等影响,但最终模型没有临床意义。对于 HIV 和 T2DM 双重诊断的人来说,除了传统上在自我管理干预中解决的变量之外,变量可能更重要。该模型不足以预测 PLWH + T2DM 的短期或长期结果。尽管抑郁症具有中等影响,但最终模型没有临床意义。对于 HIV 和 T2DM 双重诊断的人来说,除了传统上在自我管理干预中解决的变量之外,变量可能更重要。该模型不足以预测 PLWH + T2DM 的短期或长期结果。尽管抑郁症具有中等影响,但最终模型没有临床意义。对于 HIV 和 T2DM 双重诊断的人来说,除了传统上在自我管理干预中解决的变量之外,变量可能更重要。

更新日期:2021-08-10
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