Department of Psychology, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, Indiana.
Department of Educational Psychology and Leadership, Research, Evaluation, Measurement, and Statistics (REMS), Texas Tech University, Lubbock, Texas.
Depress Anxiety. 2019 Sep;36(9):813-823. doi: 10.1002/da.22940. Epub 2019 Jul 29.
Despite its popularity, little is known about the measurement invariance of the Patient Health Questionnaire-9 (PHQ-9) across U.S. sociodemographic groups. Use of a screener shown not to possess measurement invariance could result in under/over-detection of depression, potentially exacerbating sociodemographic disparities in depression. Therefore, we assessed the factor structure and measurement invariance of the PHQ-9 across major U.S. sociodemographic groups.
U.S. population representative data came from the 2005-2016 National Health and Nutrition Examination Survey (NHANES) cohorts. We conducted a measurement invariance analysis of 31,366 respondents across sociodemographic factors of sex, race/ethnicity, and education level.
Considering results of single-group confirmatory factor analyses (CFAs), depression theory, and research utility, we justify a two-factor structure for the PHQ-9 consisting of a cognitive/affective factor and a somatic factor (RMSEA = 0.034, TLI = 0.985, CFI = 0.989). On the basis of multiple-group CFAs testing configural, scalar, and strict factorial invariance, we determined that invariance held for sex, race/ethnicity, and education level groups, as all models demonstrated close model fit (RMSEA = 0.025-0.025, TLI = 0.985-0.992, CFI = 0.986-0.991). Finally, for all steps ΔCFI was <-0.004, and ΔRMSEA was <0.01.
We demonstrate that the PHQ-9 is acceptable to use in major U.S. sociodemographic groups and allows for meaningful comparisons in total, cognitive/affective, and somatic depressive symptoms across these groups, extending its use to the community. This knowledge is timely as medicine moves towards alternative payment models emphasizing high-quality and cost-efficient care, which will likely incentivize behavioral and population health efforts. We also provide a consistent, evidence-based approach for calculating PHQ-9 subscale scores.
尽管患者健康问卷-9(PHQ-9)广受欢迎,但人们对其在美国社会人口统计学群体中的测量不变性知之甚少。使用显示没有测量不变性的筛选器可能会导致抑郁的漏诊/误诊,从而潜在加剧抑郁的社会人口统计学差异。因此,我们评估了 PHQ-9 在主要美国社会人口统计学群体中的因子结构和测量不变性。
来自 2005-2016 年全国健康和营养检查调查(NHANES)队列的美国人群代表性数据。我们对性别、种族/民族和教育水平等社会人口统计学因素的 31366 名受访者进行了测量不变性分析。
考虑到单组验证性因子分析(CFA)的结果、抑郁理论和研究实用性,我们为 PHQ-9 证明了一个由认知/情感因素和躯体因素组成的两因素结构(RMSEA=0.034,TLI=0.985,CFI=0.989)。基于多组 CFA 测试配置、标度和严格因子不变性,我们确定不变性适用于性别、种族/民族和教育水平群体,因为所有模型都表现出接近的模型拟合(RMSEA=0.025-0.025,TLI=0.985-0.992,CFI=0.986-0.991)。最后,对于所有步骤,ΔCFI 均小于-0.004,ΔRMSEA 均小于 0.01。
我们证明 PHQ-9 可用于美国主要社会人口统计学群体,并允许在这些群体中对总体、认知/情感和躯体抑郁症状进行有意义的比较,将其应用扩展到社区。随着医学向强调高质量和高效成本护理的替代支付模式发展,这一知识是及时的,这可能会激励行为和人群健康的努力。我们还提供了一种一致的、基于证据的计算 PHQ-9 分量表得分的方法。