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Updated: May 25, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Self- and informant ratings of personality in mild cognitive impairment, reviewed
Birgitta Ausén1, Gunnar Edman, Ove Almkvist
1Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden. birgitta.ausen@ki.se
Aims:
To examine the degree of agreement between self- and informant ratings of personality in relation to cognitive function in patients with mild cognitive impairment (MCI), subjective cognitive impairment (SCI) and healthy controls (HC).
Methods:
Thirty-two patients and informants with MCI, 23 with SCI and 22 HC completed the Swedish universities Scales of Personality (SSP). Correlations and incongruence between self- and informant ratings were calculated. The Mini Mental State Examination (MMSE) was used to assess cognitive function.
Results:
The correlations between self- and informant ratings were fair-to-moderate on a majority of SSP scales and significant in 44%. The incongruence between patients and informants was significantly larger in MCI than in HC across SSP scales. There was a significant negative correlation between the incongruence index and the MMSE for all subjects.
Conclusions:
Self-informant agreement on ratings of patients' personality was reasonable. Incongruence between patients and their informants was associated with MCI but not SCI or HC. Disagreement between patients and informants indicates cognitive impairment.
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