Marc Linda G, Wang Ming-Mei, Testa Marcia A
Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA.
AIDS Care. 2012;24(11):1432-41. doi: 10.1080/09540121.2012.656567. Epub 2012 Mar 12.
The objective of this article is to psychometrically validate the HIV symptom distress scale (SDS), an instrument that can be used to measure overall HIV symptom distress or clinically relevant groups of HIV symptoms. A secondary data analysis was conducted using the Collaborations in HIV Outcomes Research US Cohort (CHORUS). Inclusion criteria required study participants (N=5521) to have a valid baseline measure of the AIDS Clinical Trial Group Symptom Distress Module, with an SF-12 or SF-36 completed on the same day. Psychometric testing assessed unidimensionality, internal consistency, and factor structure using exploratory and confirmatory factor analysis, and structural equation modeling (SEM). Construct validity examined whether the new measure discriminates across clinical significance (CD4 and HIV viral load). Findings show that the SDS has high reliability (α=0.92), and SEM supports a correlated second-order factor model (physical and mental distress) with acceptable fit (GFI=0.88, AGFI=0.85, NFI=0.99, NNFI=0.99; RMSEA=0.06, [90% CI 0.06 - 0.06]; Satorra Bentler scaled, C (2) =3274.20; p=0.0). Construct validity shows significant differences across categories for HIV-1 viral load (p<0.001) and CD4 (p<0.001). Differences in mean SDS scores exist across gender (p<0.001), race/ethnicity (p<0.05), and educational attainment (p<0.001). Hence, the HIV SDS is a reliable and valid instrument, which measures overall HIV symptoms or clinically relevant groups of symptoms.
本文的目的是对HIV症状困扰量表(SDS)进行心理测量学验证,该量表可用于测量总体HIV症状困扰或临床上相关的HIV症状组。使用美国HIV结果研究协作队列(CHORUS)进行了二次数据分析。纳入标准要求研究参与者(N = 5521)对艾滋病临床试验组症状困扰模块有有效的基线测量,且在同一天完成SF - 12或SF - 36。心理测量测试使用探索性和验证性因素分析以及结构方程模型(SEM)评估单维度性、内部一致性和因素结构。结构效度检验新测量方法是否能区分临床意义(CD4和HIV病毒载量)。结果表明,SDS具有高可靠性(α = 0.92),并且SEM支持具有可接受拟合度的相关二阶因素模型(身体和精神困扰)(GFI = 0.88,AGFI = 0.85,NFI = 0.99,NNFI = 0.99;RMSEA = 0.06,[90%置信区间0.06 - 0.06];Satorra Bentler缩放,C(2) = 3274.20;p = 0.0)。结构效度显示HIV - 1病毒载量(p < 0.001)和CD4(p < 0.001)在各分类之间存在显著差异。SDS平均得分在性别(p < 0.001)、种族/民族(p < 0.05)和教育程度(p < 0.001)方面存在差异。因此,HIV SDS是一种可靠且有效的工具,可测量总体HIV症状或临床上相关的症状组。