Vaughan Elizabeth M, Johnston Craig A, Moreno Jennette P, Cheskin Lawrence J, Dutton Gareth R, Gee Molly, Gaussoin Sarah A, Knowler William C, Rejeski W Jack, Wadden Thomas A, Yanovski Susan Z, Foreyt John P
Department of Medicine Baylor College of Medicine Houston Texas.
Department of Health and Human Performance University of Houston Houston Texas.
Obes Sci Pract. 2019 Dec 19;6(1):28-38. doi: 10.1002/osp4.378. eCollection 2020 Feb.
To compare depressive symptomatology as assessed by two frequently used measures, the Beck Depression Inventory (BDI-1A) and Patient Health Questionnaire (PHQ-9).
Investigators conducted a cross-sectional secondary analysis of data collected as part of the follow-up observational phase of the Look AHEAD study. Rates of agreement between the BDI-1A and PHQ-9 were calculated, and multivariable logistic regression was used to examine the relationship between differing depression category classifications and demographic factors (ie, age, sex, race/ethnicity) or comorbidities (ie, diabetes control, cardiovascular disease).
A high level of agreement (κ = 0.47, 95% CI (0.43 to 0.50)) was found in the level of depressive symptomatology between the BDI-1A and PHQ-9. Differing classifications (minimal, mild, moderate, and severe) occurred in 16.8% of the sample. Higher scores on the somatic subscale of the BDI-1A were significantly associated with disagreement as were having a history of cardiovascular disease, lower health-related quality of life, and minority racial/ethnic classification.
Either the BDI-1A or PHQ-9 can be used to assess depressive symptomatology in adults with overweight/obesity and type 2 diabetes. However, further assessment should be considered in those with related somatic symptoms, decreased quality of life, and in racial/ethnic minority populations.
比较两种常用测量工具——贝克抑郁量表(BDI - 1A)和患者健康问卷(PHQ - 9)所评估的抑郁症状学。
研究人员对作为“展望未来”(Look AHEAD)研究随访观察阶段一部分所收集的数据进行了横断面二次分析。计算了BDI - 1A和PHQ - 9之间的一致性率,并使用多变量逻辑回归来检验不同抑郁类别分类与人口统计学因素(即年龄、性别、种族/族裔)或合并症(即糖尿病控制、心血管疾病)之间的关系。
BDI - 1A和PHQ - 9在抑郁症状学水平上具有高度一致性(κ = 0.47,95%可信区间(0.43至0.50))。16.8%的样本出现了不同的分类(轻微、轻度、中度和重度)。BDI - 1A躯体子量表得分较高与不一致显著相关,心血管疾病史、较低的健康相关生活质量以及少数种族/族裔分类也与之相关。
BDI - 1A或PHQ - 9均可用于评估超重/肥胖和2型糖尿病成人的抑郁症状学。然而,对于有相关躯体症状、生活质量下降的人群以及种族/族裔少数群体,应考虑进一步评估。