Prevalence and characteristics of mild cognitive impairment in the general population. Data from an Italian population-based study: The Faenza Project.
The aim of this cross-sectional study is to investigate mild cognitive impairment (MCI) using the Mini-Mental State Examination in an Italian cohort (N = 6921; mean age 71.6 ± 7.5; 59.2% women). First, we applied psychometrically derived criteria for MCI regardless of presence/absence of subjective cognitive complaints (SCC); second, we implemented the analyses only on the SCC subsample. The estimated MCI prevalence was 6.0%. Amnestic- and non-amnestic MCI single domains accounted for 4.3% and 13.5% of the cases, respectively. Amnestic- and non-amnestic MCI multiple domains occurred in 2.0% and 4.5% of the cases, respectively. The 33.8% of the SCC subsample (6.0% of the cohort) had MCI. Stroke, diabetes and depressive symptoms were commonly associated to MCI suggesting that this common condition is associated with many correlates in Italian older persons. It deserves attention since it is early detectable and potentially preventable.
Institute of Psychiatry P.Ottonello, University of Bologna, Bologna, Italy. fra-moretti@libero.it
Francesca
F
Moretti
Diana
D
De Ronchi
Katie
K
Palmer
Claudia
C
Forlani
Valentina
V
Morini
Barbara
B
Ferrari
Edoardo
E
Dalmonte
Anna Rita
AR
Atti
D000368:Aged; D000369:Aged, 80 and over; D000647:Amnesia / Q000175:diagnosis / Q000453:epidemiology* / Q000523:psychology; D060825:Cognitive Dysfunction / Q000175:diagnosis / Q000453:epidemiology* / Q000523:psychology; D015331:Cohort Studies; D003430:Cross-Sectional Studies; D003863:Depression / Q000150:complications / Q000453:epidemiology; D005260:Female; D006801:Humans; D007558:Italy / Q000453:epidemiology; D007802:Language; D016015:Logistic Models; D008297:Male; D008609:Mental Status Schedule; D008875:Middle Aged; D009483:Neuropsychological Tests; D011159:Population Surveillance; D011237:Predictive Value of Tests; D015995:Prevalence; D011569:Psychiatric Status Rating Scales; D011594:Psychometrics / Q000706:statistics & numerical data; D012307:Risk Factors; D012959:Socioeconomic Factors; D020521:Stroke / Q000150:complications / Q000453:epidemiology