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Association Between Sleep Quality and Cognitive Symptoms in Patients with Major Depressive Disorder
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Development of the Cognitive Dysfunction Questionnaire (CDQ) in a population based sample.

Peter Vestergren1, Michael Rönnlund, Lars Nyberg

  • 1Department of Applied Educational Science, Umeå University, Umeå, Sweden. peter.vestergren@edmeas.umu.se

Scandinavian Journal of Psychology
|January 27, 2011
PubMed
Summary
This summary is machine-generated.

A new Cognitive Dysfunction Questionnaire (CDQ) effectively screens for adult cognitive impairment. This validated tool shows promise for identifying memory and cognition issues in older adults.

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

  • Gerontology
  • Neuropsychology
  • Psychometrics

Background:

  • Cognitive dysfunction is a growing concern in aging populations.
  • Accurate screening tools are essential for early detection and intervention.
  • Existing self-report measures may lack comprehensive validation.

Purpose of the Study:

  • To develop and validate a self-rating questionnaire for assessing adult cognitive dysfunction (CDQ).
  • To establish the psychometric properties of the CDQ, including reliability and validity.
  • To provide a screening tool for cognitive impairment in a general adult population.

Main Methods:

  • Development of a 90-item pilot questionnaire administered to 370 adults (mean age 65).
  • Exploratory principal components analysis and correlation with cognitive measures (MMSE, Block Design, memory tests).
  • Validation using Cronbach's alpha, correlation with subjective memory (PRMQ), depressive symptoms, age, and education.

Main Results:

  • A 20-item, 6-component final CDQ was selected based on statistical analyses.
  • The CDQ demonstrated high internal consistency (Cronbach's α = 0.90).
  • Evidence of construct validity was supported by correlations with cognitive measures and subjective memory, and discriminant validity by low correlation with depression.

Conclusions:

  • The Cognitive Dysfunction Questionnaire (CDQ) shows significant promise as a reliable and valid self-rating screening tool.
  • The CDQ can aid in identifying potential cognitive dysfunction in adults.
  • Further validation studies are planned to enhance the CDQ's utility.