The validation of the assessment of depression across ethnic groups is critical yet deficient for American Indian (AI) adults. Therefore, we assessed the psychometric properties of the Center for Epidemiological Studies-Depression (CES-D) in AI elders and tested differences in depression constructs between gender. Participants were 817 AI adults (68% women), mean age 73.2 years (SD = 6.1, range: 64-95) for women and 72.6 years (SD = 5.3, range: 65-90) for men., in the Cerebrovascular Disease and Its Consequences in AIs Study. We evaluated the factor structure of the 20-item and 12-item CES-D and tested measurement invariance between gender. Results demonstrated a poor fit for the 20-item CES-D and partial gender measurement invariance of the 12-item CES-D. AI female elders had significantly higher depression levels than AI male elders on the Depressed Affect subscale, the Somatic Symptoms subscale, and the Well-Being (reverse-coded) subscale. Further replication is needed, and we recommend future psychometric work with the 12-item CES-D with AI elders. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

中文翻译：

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美洲印第安老年人抑郁症评估的性别差异：强心脏研究。


对于美洲印第安人 (AI) 成年人来说，跨种族抑郁症评估的验证至关重要但还存在缺陷。因此，我们评估了流行病学研究中心抑郁症（CES-D）对人工智能老年人的心理测量特性，并测试了性别之间抑郁症结构的差异。参与者为 817 名 AI 成年人（68% 为女性），女性平均年龄 73.2 岁（SD = 6.1，范围：64-95），男性平均年龄 72.6 岁（SD = 5.3，范围：65-90）。及其在人工智能研究中的影响。我们评估了 20 项和 12 项 CES-D 的因子结构，并测试了性别之间的测量不变性。结果表明，20 项 CES-D 的拟合度较差，12 项 CES-D 的部分性别测量不变性。在抑郁情感分量表、躯体症状分量表和幸福感（反向编码）分量表上，AI 女性老年人的抑郁水平显着高于 AI 男性老年人。需要进一步复制，我们建议未来与人工智能长者一起开展 12 项 CES-D 心理测量工作。 （PsycInfo 数据库记录 (c) 2021 APA，保留所有权利）。