在老年人群中认知能力下降的分层风险使用老年抑郁症度量表
Mirnova E Ceïde1,2, Sarah Wang3, Matthew R Lootens4
1Division of Cognitive and Motor Aging, Albert Einstein College of Medicine, Bronx, NY, USA.
概括
这项研究为老年抑郁量表 (GDS) 开发了一种新的测量模型,将冷漠与其他抑郁症状分开. 这种模型有助于识别面临认知衰退和痴呆症风险的老年人.
科学领域:
- 老年学是一门学科.
- 精神病学是一个精神病学.
- 认知神经科学 认知神经科学
背景情况:
- 晚年心理症状,如抑郁和冷漠,与老年人的认知和功能衰退有关.
- 老年抑郁量表 (GDS) 是常用的,但它的因子结构,特别是关于冷漠的,需要进一步调查.
研究的目的:
- 开发一种使用确认因子分析 (CFA) 的新型测量模型,在GDS中区分冷漠与失调以及认知关注.
- 评估这个新模型是否能够区分老年成年人群体的认知衰退风险.
主要方法:
- 利用了来自三个独特群体的1421名老年人的汇总数据集.
- 进行了确认因素分析 (CFA),以将冷漠与其他GDS构造区分开来,以主要组件分析 (PCA) 为指导,建议使用三组件解决方案.
主要成果:
- CFA成功地产生了三个不同的因素:失调,冷漠和认知问题.
- 所有因素都显示出可以接受的单维性 (克朗巴赫的alpha:dysphoria=.76,冷漠=.59,认知关注=.54).
- 认知风险初级保健队列在所有三个因素中均得分明显高.
结论:
- 建立了一个可通用的测量模型,在多样化的人口中具有可接受的可靠性和面部有效性.
- 该模型可以识别患有阿尔茨海默病和相关痴呆症的风险人群.
- 无视度评分表特别有用,用于识别临床和研究环境中面临认知和功能衰退风险的老年人.
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