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临床表现 临床表现

Eun Hyun Seo1,2, Hyung-Jun Yoon3, Seung Gon Kim4

  • 1Premedical Science, College of Medicine, Chosun University, Gwangju, Korea, Republic of (South).

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概括
此摘要是机器生成的。

一个新的简要数字素养量表 (BDLS) 有效地评估了老年人的数字素养. 该工具显示了与认知表现的显著关联,有助于数字认知评估.

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科学领域:

  • 老年学是指老年学的学科.
  • 认知科学 认知科学
  • 医疗信息学 医疗信息学

背景情况:

  • 数字认知评估工具的使用越来越多,但数字素养往往被忽视.
  • 现有的数字素养尺度对于老年人来说是复杂的,耗时的.
  • 在这个人口群体中,需要一个简单的预评估工具来进行数字认知评估.

研究的目的:

  • 为老年人开发和验证一个简要的数字识字量表 (BDLS).
  • 在数字认知测试之前提供一个简单,快速的工具来评估数字素养.
  • 探索老年人数字素养和认知状态之间的关系.

主要方法:

  • 在BDLS,一个10项规模,被管理到202个老年人 (认知正常,轻度认知障碍,阿尔茨海默病).
  • 进行了内部一致性,探索性因子分析 (EFA),回归和部分相关性分析.
  • 参与者是从韩国的广州阿尔茨海默氏症和相关痴呆症队列中招募的.

主要成果:

  • 该BDLS表现出良好的内部一致性 (α=0.874) 和一个三因素结构 (技术熟练程度,智能设备使用,数字使用频率/信息评估).
  • 较高的BDLS分数与年轻的年龄和更多的教育相关;没有发现显著的性别差异.
  • BDLS得分与传统的认知测试 (命名,视觉记忆,心理运动速度) 和数字认知得分 (视觉记忆,处理速度) 有显著的部分相关性,并且在认知状态组之间有显著差异.

结论:

  • BDLS是评估老年人数字素养的可靠和有效工具.
  • 数字素养,特别是视觉记忆和命名能力,与数字和传统格式的认知表现有关.
  • BDLS为数字认知测试提供了一种实际的预评估解决方案,强调了数字素养在研究和临床环境中的重要性.