Cognitive Impairment Questionnaire (CIMP-QUEST): reported topographic symptoms in MCI and dementia

Acta Neurol Scand. 2010 Jun;121(6):384-91. doi: 10.1111/j.1600-0404.2009.01312.x. Epub 2010 Jan 6.

Abstract

Objective: The Cognitive Impairment Questionnaire (CIMP-QUEST) is an instrument based on information obtained by key informants to identify symptoms of dementia and dementia-like disorders. The questionnaire consists of three subscales reflecting impairment in parietal-temporal (PT), frontal (F) and subcortical (SC) brain regions. The questionnaire includes a memory scale and lists non-cognitive symptoms. The reliability and validity of the questionnaire were examined in 131 patients with mild cognitive impairment (MCI) or mild dementia at a university-based memory unit.

Methods/results: Cronbach alpha for all subscales was calculated at r = 0.90. Factor analysis supported the tri-dimensionality of CIMP-QUEST's brain region-oriented construct. Test-retest reliability for a subgroup of cognitively stable MCI-patients (n = 25) was found to be r = 0.83 (P = 0.0005). The correlation between the score on the cognitive subscales (PT + F + M) and Informant Questionnaire on Cognitive Decline in the Elderly was r = 0.83 (P = 0.0005, n = 123). The memory subscale correlated significantly with episodic memory tests, the PT subscale with visuospatial and language-oriented tests, and the SC and F subscales with tests of attention, psychomotor tempo and executive function.

Conclusions: CIMP-QUEST has high reliability and validity, and provides information about cognitive impairment and brain region-oriented symptomatology in patients with MCI and mild dementia.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Cognition Disorders / diagnosis*
  • Cognition Disorders / physiopathology
  • Cognition Disorders / psychology
  • Dementia / diagnosis*
  • Dementia / physiopathology
  • Dementia / psychology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Neuropsychological Tests*
  • Principal Component Analysis
  • Reproducibility of Results
  • Surveys and Questionnaires*