Demographic Factors and Cognitive Function Assessments Associated with Mild Cognitive Impairment Progression for the Elderly

Qin, Hongyun; Zhao, Xudong; Zhu, Binggen; Hu, Chengping

doi:10.1155/2020/3054373

Cited by 22 publications

(22 citation statements)

References 38 publications

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“…The MMSE score was 18.0 ± 5.0 for the dementia patients and 25.3 ± 4.6 for the non-dementia individuals and ranged from 5.0-30.0 (p < 0.05). Thus, the dementia patients exhibited lower MMSE scores and education levels and higher mean ages than the non-dementia individuals (Pedraza et al, 2013;Qin et al, 2020). Moreover, the GDS score was higher in the dementia individuals (16.0 ± 6.1, mean ± standard deviation) than in the non-dementia subjects (10.8 ± 6.2).…”

Section: Subject Characteristicsmentioning

confidence: 87%

Predicting Dementia With Prefrontal Electroencephalography and Event-Related Potential

Doan

Choi

et al. 2021

Front. Aging Neurosci.

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Objective: To examine whether prefrontal electroencephalography (EEG) can be used for screening dementia.Methods: We estimated the global cognitive decline using the results of Mini-Mental Status Examination (MMSE), measurements of brain activity from resting-state EEG, responses elicited by auditory stimulation [sensory event-related potential (ERP)], and selective attention tasks (selective-attention ERP) from 122 elderly participants (dementia, 35; control, 87). We investigated that the association between MMSE and each EEG/ERP variable by using Pearson’s correlation coefficient and performing univariate linear regression analysis. Kernel density estimation was used to examine the distribution of each EEG/ERP variable in the dementia and non-dementia groups. Both Univariate and multiple logistic regression analyses with the estimated odds ratios were conducted to assess the associations between the EEG/ERP variables and dementia prevalence. To develop the predictive models, five-fold cross-validation was applied to multiple classification algorithms.Results: Most prefrontal EEG/ERP variables, previously known to be associated with cognitive decline, show correlations with the MMSE score (strongest correlation has |r| = 0.68). Although variables such as the frontal asymmetry of the resting-state EEG are not well correlated with the MMSE score, they indicate risk factors for dementia. The selective-attention ERP and resting-state EEG variables outperform the MMSE scores in dementia prediction (areas under the receiver operating characteristic curve of 0.891, 0.824, and 0.803, respectively). In addition, combining EEG/ERP variables and MMSE scores improves the model predictive performance, whereas adding demographic risk factors do not improve the prediction accuracy.Conclusion: Prefrontal EEG markers outperform MMSE scores in predicting dementia, and additional prediction accuracy is expected when combining them with MMSE scores.Significance: Prefrontal EEG is effective for screening dementia when used independently or in combination with MMSE.

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Section: Subject Characteristicsmentioning

confidence: 87%

Predicting Dementia With Prefrontal Electroencephalography and Event-Related Potential

Doan

Choi

et al. 2021

Front. Aging Neurosci.

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“…This, to some extent, reflects the severe situation of cognition decline among the Chinese population even with differences in the range of participants’ ages or the diagnosis criteria of MCI. The MCI progression factors were characterized as older age and worse income level [ 36 ]. Similarly, a finding from our study showed that participants with MCI and its subtypes clustered with old age, rural area, and lower monthly income level groups.…”

Section: Discussionmentioning

confidence: 99%

Diet–Cognition Associations Differ in Mild Cognitive Impairment Subtypes

et al. 2021

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Cognitive function is not generally associated with diet, and there is debate over that association. Moreover, little is known about such associations with the specific cognitive domains and subtypes of mild cognitive impairment (MCI). We analyzed data of 4309 Chinese adults aged 55 and over from the Community-based Cohort Study on Nervous System Diseases from 2018–2019. Dietary habits were assessed at inclusion using a validated semi-quantitative food frequency questionnaire. Cognitive function of the participants was measured by using the Montreal Cognitive Assessment. Analyses were performed using multiple logistic regression and quantile regression with adjustment for socio-demographic, lifestyle, and health-related factors. Compared with normal cognition participants, those with a worse cognition state were characterized as being an older age and lower economic level. After adjustment for potential factors, participants with higher consumption of rice, legumes, fresh vegetables, fresh fruit, pork, poultry, fish, and nuts tended to have higher scores of global cognitive function and domains, and to have lower odds of MCI, while those with higher consumption levels of wheat and eggs had worse cognition, compared with the corresponding bottom consumption level of each food. Participants with a medium consumption level of beef or mutton had 57% (OR: 1.57, 95%CI: 1.07–2.32) higher odds of aMCI-SD, whereas they had 50% (OR: 0.50, 95%CI: 0.34–0.73) lower odds of naMCI-MD. Similarly, the highest consumption level of dairy was positively associated with the odds of aMCI-SD (OR:1.51, 95%CI:1.00–2.29), but inversely linked to the odds of naMCI-SD (OR: 0.60, 95%CI: 0.38–0.93) and naMCI-MD (OR: 0.49, 95%CI: 0.29–0.82). Most diet global cognitive benefits were observed to be associated with the preexisting higher consumption of rice, legumes, fresh vegetables, fresh fruit, meat, and nuts. In addition, the heterogeneity of associations between the consumption of certain foods and MCI subtypes was observed among Chinese adults aged over 55 years. These cross-sectional observations require validation in prospective studies.

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“…The following socio-demographic variables were considered as covariates–age, sex, education, race/ethnicity, and income. These variables were known to be associated with MCI among older adults [ 12 , 27 ]. Education was categorized into four groups: less than high school, high school or equivalent, some college including vocational certificate and associate, and bachelors or more.…”

Section: Methodsmentioning

confidence: 99%

The prevalence of mild cognitive impairment by aspects of social isolation

et al. 2022

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Objectives This study describes the prevalence of mild cognitive impairment (MCI) across different aspects of social isolation among adults 65 years or older. Methods In this cross-sectional study, we utilized the Wave 3 data from the National Social Life, Health, and Aging Project (NSHAP). MCI was defined as a Montreal Cognitive Assessment (MoCA) score less than 23. Prevalence of MCI was calculated for above and below average social disconnectedness (SD), perceived isolation (PI), and demographic variables age, gender, race/ethnicity, education, and household income. Results The overall prevalence [and 95% confidence interval] of MCI was 27.5% [25.5–29.6]. The high prevalence of MCI was found in those who had above average SD (32.0% [29.1–34.9]), above average PI (33.3% [29.7–36.8]), were older in age (43.1% [38.9–47.3]), male (28.7% [25.9–31.5]), Black (61.1% [52.5–69.6]), had less than a high school education (66.3% [58.9–73.8]), or were in the lowest income group (46.2% [39.7–52.7]). Those with above average SD or PI had a higher prevalence of MCI in almost all demographics, compared to those with below average SD or PI. Those who were Black or African American or had less than a high school education did not have a greater prevalence of MCI when SD was above average. Discussion This current study adds to the body of literature that links SD and PI to MCI and sheds light on the possible existing socio-demographic disparities. Groups with greater than average SD or PI tend to have a higher prevalence of MCI. Further studies are needed to establish a causal association of SD and PI with MCI.

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Demographic Factors and Cognitive Function Assessments Associated with Mild Cognitive Impairment Progression for the Elderly

Cited by 22 publications

References 38 publications

Predicting Dementia With Prefrontal Electroencephalography and Event-Related Potential

Predicting Dementia With Prefrontal Electroencephalography and Event-Related Potential

Diet–Cognition Associations Differ in Mild Cognitive Impairment Subtypes

The prevalence of mild cognitive impairment by aspects of social isolation

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