The Efficacy of Cognitive Training for Elderly Chinese Individuals with Mild Cognitive Impairment

Peng, Zhenren; Hu, Jiang; Wang, Xiaomin; Huang, Kaiyong; Zuo, Yukun; Wu, Xiangmin; Abdullah, Abu S.; Yang, Li

doi:10.1155/2019/4347281

“…In fact, a rapidly aging population is forecast to exceed 20% in Taiwan in 2025 [ 2 ]. The downside is that cognitive function declines with age and dementia increases [ 3 ]. The population of dementia in Taiwan is also proliferating along with its aging society.…”

Section: Introductionmentioning

confidence: 99%

A Novel Game-Based Intelligent Test for Detecting Elderly Cognitive Function Impairment

Lin

¹

,

Mao

²

,

Huang

³

2021

Computational and Mathematical Methods in Medicine

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Purposes. This research explores the game-based intelligent test (GBIT), predicts the possibilities of Mini-Mental State Examination (MMSE) scores and the risk of cognitive impairment, and then verifies GBIT as one of the reliable and valid cognitive assessment tools. Methods. This study recruited 117 elderly subjects in Taiwan (average age is 79.92 ± 8.68 , average height is 156.91 ± 8.01 , average weight is 59.14 ± 9.67 , and average MMSE score is 23.33 ± 6.16 ). A multiple regression model was used to analyze the GBIT parameters of the elderly’s reaction, attention, coordination, and memory to predict their MMSE performance. The binary logistic regression was then utilized to predict their risk of cognitive impairment. The statistical significance level was set as α = 0.05 . Results. Multiple regression analysis showed that gender, the correct number of reactions, and the correct number of memory have a significantly positive predictive power on MMSE of the elderly ( F = 37.60 , R 2 = 0.69 , and p < 0.05 ). Binary logistic regression analysis noted that the correct average number of reactions falls by one question, and the ratio of cognitive dysfunction risk increases 1.09 times ( p < 0.05 ); the correct average number of memory drops by one question, the ratio of cognitive dysfunction risk increases 3.76 times ( p < 0.05 ), and the overall model predictive power is 88.20% (sensitivity: 84.00%; specificity: 92.30%). Conclusions. This study verifies that GBIT is reliable and can effectively predict the cognitive function and risk of cognitive impairment in the elderly. Therefore, GBIT can be used as one of the feasible tools for evaluating older people’s cognitive function.

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“…MoCA can measure the following cognitive domains: short-term memory recall task, visuospatial abilities, multiple aspects of executive functions, attention, concentration, and working memory, language, abstract reasoning, and orientation. A MoCA score of 26 and above is considered normal [ 18 , 19 ]. The MoCA evaluation is carried out by an experienced neurologist who does not know the evaluation subject's baseline date.…”

Section: Methodsmentioning

confidence: 99%

Increased Levels of Serum Neuregulin 1 Associated with Cognitive Impairment in Vascular Dementia

Wang

¹

,

Zhang

²

,

Ma

³

et al. 2020

BioMed Research International

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Objective. Neuregulin 1 (NRG 1) is a member of the epidermal growth factor (EGF) family and is believed to play an important role in neuroplasticity. However, the relationship between NRG 1 and vascular dementia (VaD) is poorly understood. The purpose of this study is to explore the correlation between neuregulin 1 and VaD. Patients and Methods. From October 2018 to September 2020, 93 VaD patients and 79 control populations who attended Liaocheng People’s Hospital were included in the study. Baseline characteristics including age, gender, years of education, HDL, LDL, FBG, SBP, and DBP are collected. At the same time, peripheral blood was collected, and the concentration of serum NRG 1 was detected by enzyme-linked immunosorbent assay (ELISA). All research subjects received professional cognitive function assessment. Results. A total of 93 VaD patients and 79 controls were enrolled. There was no significant difference in age, gender, years of education, HDL, LDL, FBG, SBP, and DBP between the two groups ( p > 0.05 ). However, compared with the control group, VaD patients have lower MoCA and higher serum NRG 1 levels, and the difference is statistically significant ( p < 0.001 ). The correlation analysis of MoCA and baseline characteristics showed that the MoCA score in VaD was significantly negatively correlated with serum NRG 1 ( r = − 0.374 , p = 0.036 ). The results of multivariate regression showed that the MoCA score of VaD patients was only associated with NRG 1 ( β = 0.258 , p = 0.012 ). Conclusions. The concentration of serum NRG 1 in VaD patients is significantly increased, which may be an independent risk factor for cognitive impairment in VaD patients.

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“…Most of the included studies were rated as having a moderate risk of bias, except for the four studies [79][80][81][82] , which have a high risk of bias and were excluded from the nal meta-analysis (Table 3).…”

Section: Publication Biasmentioning

confidence: 99%

Prevalence of Mild Cognitive Impairment in Community-Dwelling Chinese Populations Aged over 55 years: A Meta-Analysis and Systematic Review

Lü

¹

,

Liu²,

Yu

³

et al. 2020

Preprint

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Background: Mild cognitive impairment (MCI) is an intermediate phase between normal cognitive ageing and overt dementia, with amnesic MCI (aMCI) being the dominant subtype. This study aims to synthesise the prevalence results of MCI and aMCI in community-dwelling populations in China through a meta-analysis and systematic review.Methods: The study followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) protocol. English and Chinese studies published before 1 March 2020 were searched from ten electronic bibliographic databases. Two reviewers screened for relevance of the studies against the pre-defined inclusion and exclusion criteria and assessed the quality of the included studies using the Risk of Bias Tool independently. A random-effect model was adopted to estimate the prevalence of MCI and aMCI, followed by subgroup analyses and meta-regression. Sensitivity and publication bias tests were performed to verify the robustness of the meta-analyses.Results: A total of 41 studies with 112,632 participants were included in the meta-analyses. The Chinese community-dwelling populations over 55 years old had a pooled prevalence of 12.2% [95% confidence interval (CI): 10.6%, 14.2%] for MCI and 10.9% [95% CI: 7.7%, 15.4%] for aMCI, respectively. The prevalence of MCI increased with age. The American Psychiatric Association’s Diagnostic tool (DSM-IV) generated the highest MCI prevalence (13.5%), followed by the Petersen criteria (12.9%), and the National Institute on Aging Alzheimer’s Association (NIA-AA) criteria (10.3%). Women, rural residents, and those who lived alone and had low levels of education had higher MCI prevalence than others. Conclusion：Higher MCI prevalence was identified in community-dwelling populations in China compared with some other countries, possibly due to more relaxed criteria being adopted for confirming the diagnosis. The study shows that aMCI accounts for 66.5% of MCI, which is consistent with findings of studies undertaken elsewhere.Systematic review registration number： PROSPERO CRD42019134686

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The Efficacy of Cognitive Training for Elderly Chinese Individuals with Mild Cognitive Impairment

Cited by 46 publications

References 50 publications

A Novel Game-Based Intelligent Test for Detecting Elderly Cognitive Function Impairment

A Novel Game-Based Intelligent Test for Detecting Elderly Cognitive Function Impairment

Increased Levels of Serum Neuregulin 1 Associated with Cognitive Impairment in Vascular Dementia

Prevalence of Mild Cognitive Impairment in Community-Dwelling Chinese Populations Aged over 55 years: A Meta-Analysis and Systematic Review

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