VITA: subtypes of mild cognitive impairment in a community‐based cohort at the age of 75 years

Jungwirth, Susanne; Weissgram, Silvia; Zehetmayer, Sonja; Tragl, Karl-Heinz; Fischer, Peter

doi:10.1002/gps.1311

Cited by 50 publications

(34 citation statements)

References 35 publications

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“…Controlling for these factors might have contributed to the lower values. To the best of our knowledge, only two previous studies have identified MCI subtypes using similar methods to the present (Busse et al, 2003;Jungwirth et al, 2005). General findings of the current study resembled those of the two studies.…”

Section: Generalsupporting

confidence: 91%

Prevalence of four subtypes of mild cognitive impairment and APOE in a Japanese community

Sasaki

Kodama

Hidaka

et al. 2009

Int J Geriat Psychiatry

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Section: Generalsupporting

confidence: 91%

Prevalence of four subtypes of mild cognitive impairment and APOE in a Japanese community

Sasaki

Kodama

Hidaka

et al. 2009

Int J Geriat Psychiatry

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“…The proportions of aMCI-SD, aMCI-MD, naMCI-SD, and naMCI-MD were 4.48, 2.09, 4.22, and 0.53%, respectively, which is similar to estimates from other community-based samples ranging between 0.05 and 6% [28,29]. The aMCI-SD subtype was the most frequent presentation, followed by the naMCI-SD, aMCI-MD, and naMCI-MD subtypes.…”

Section: Discussionsupporting

confidence: 66%

Prevalence of Mild Cognitive Impairment and Its Subtypes among Chinese Older Adults: Role of Vascular Risk Factors

Wu²,

Zhao³

et al. 2016

Dement Geriatr Cogn Disord

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Background/Aims: The prevalence of mild cognitive impairment (MCI) and its subtypes among Chinese older adults, and the contribution of vascular risk factors (VRF) and vascular disorders to MCI remain unclear. This study aims to investigate the prevalence of MCI and its different subtypes, and clarify the role of VRF and vascular diseases in the occurrence of MCI. Methods: A random sample of 5,214 nondementia (DSM-IV) individuals aged ≥65 years underwent neuropsychological assessments and clinical examinations. MCI, including amnestic MCI-single domain (aMCI-SD), amnestic MCI-multiple domains (aMCI-MD), nonamnestic MCI-single domain (naMCI-SD), and nonamnestic MCI-multiple domains (naMCI-MD), was defined according to modifications of the Petersen criteria. VRF (smoking, obesity, and diabetes) and vascular disorders (myocardial infarction, atrial ﬁbrillation, stroke, and hypertension) were assessed based on information through self-report and medical records. Data were analyzed using multivariate logistic regression. Results: The prevalence of MCI was 11.33% (95% CI: 8.21-14.43), and that of aMCI-SD, aMCI-MD, naMCI-SD, and naMCI-MD was 4.48% (95% CI: 2.24-6.74), 2.09% (95% CI: 0.80-3.38), 4.22% (95% CI: 1.38-7.08), and 0.53% (95% CI: 0.32-0.75), respectively. The prevalence of MCI is higher in women than in men. Multivariate logistic regression analysis shows that VRF and vascular diseases were significantly related to increase the odds of MCI and its specific subtype. Conclusions: The prevalence of MCI is almost 11% among Chinese older adults. VRF and vascular disorders are associated with MCI, especially naMCI.

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“…The lack of predictive value of subjective complaints for objective cognitive performance was corroborated by results from previous studies. The exclusion of subjective complaints from the MCI criteria improved sensitivity for dementia in other population samples [28,29] . Another MAASrelated study showed that subjective memory complaints, measured in the same way as in the current study, were not predictive of cognitive decline, over a 6-year period [30] .…”

Section: Discussionmentioning

confidence: 99%

Predictive Value of Mild Cognitive Impairment for Dementia

Baars¹,

Boxtel²,

Dijkstra³

et al. 2009

Dement Geriatr Cogn Disord

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Background/Aims: In population studies, different mild cognitive impairment (MCI) definitions have been used to predict dementia at a later stage. This study compared predictive values of different MCI definitions for dementia, and the effect of age on the predictive values was investigated. Methods: This study was conducted as part of an ongoing longitudinal study into the determinants of cognitive aging, the Maastricht Aging Study. Results: MCI best predicted dementia when multiple cognitive domains were considered and subjective complaints were not (sensitivity: 0.66, specificity: 0.78). Age had a strong influence on the sensitivity of MCI for dementia (age 60–70 years: sensitivity = 0.56; age 70–85 years: sensitivity = 0.70). Conclusion: The inclusion of multiple cognitive domains and participants aged 70 years and older leads to the best prediction of dementia, regardless of subjective complaints.

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VITA: subtypes of mild cognitive impairment in a community‐based cohort at the age of 75 years

Cited by 50 publications

References 35 publications

Prevalence of four subtypes of mild cognitive impairment and APOE in a Japanese community

Prevalence of four subtypes of mild cognitive impairment and APOE in a Japanese community

Prevalence of Mild Cognitive Impairment and Its Subtypes among Chinese Older Adults: Role of Vascular Risk Factors

Predictive Value of Mild Cognitive Impairment for Dementia

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