University of Texas at Austin, Austin, TX 78712, USA.
Aging Ment Health. 2010 Mar;14(2):145-54. doi: 10.1080/13607860903421078.
In this study, we briefly described a large urban Meals on Wheels program's adoption of the Patient Health Questionnaire-9 (PHQ-9) as its depression-screening tool. Then we reported the assessment outcomes with respect to the rates, severity, and correlates of depressive symptoms. The sample consisted of 736 MOW clients. Bivariate analysis, with chi(2) statistics, was performed to examine differences in the rates and severity of depressive symptoms by age group, gender, race/ethnicity, and cognitive status. Negative binomial regression analysis was used to determine the correlates of depression symptom severity. Of the sample, 17.5% had clinically significant depressive symptoms (PHQ-9 > or = 10), and 8.8% had probable major depressive disorder (MDD). A significantly higher proportion of those under age 60 years was found to have clinically significant depressive symptoms and probable MDD. The multivariate regression results show that age, gender, race/ethnicity, income, cognitive impairment, number of chronic medical conditions, and the nutritional risk score were significant predictors of the severity of depression symptoms. Implications of and recommendations for incorporating a valid depression-screening tool into social service agencies' existing assessment process are discussed.
在这项研究中，我们简要描述了一个大型城市送餐计划采用患者健康问卷-9（PHQ-9）作为其抑郁筛查工具。然后，我们报告了评估结果，包括抑郁症状的发生率、严重程度和相关因素。样本由 736 名 MOW 客户组成。采用卡方检验进行了双变量分析，以检查年龄组、性别、种族/民族和认知状态对抑郁症状发生率和严重程度的差异。采用负二项回归分析确定抑郁症状严重程度的相关因素。在该样本中，17.5%的人有临床显著的抑郁症状（PHQ-9>或=10），8.8%的人有可能的重度抑郁症（MDD）。结果发现，年龄在 60 岁以下的人有临床显著的抑郁症状和可能的 MDD 的比例明显更高。多元回归结果表明，年龄、性别、种族/民族、收入、认知障碍、慢性疾病数量和营养风险评分是抑郁症状严重程度的显著预测因素。讨论了将有效的抑郁筛查工具纳入社会服务机构现有评估过程的意义和建议。
