Lifestyle changes and outcomes of elderly people with mild cognitive impairment: a 4-year longitudinal study

Abstract Background Longitudinal studies have shown that mild cognitive impairment (MCI; a precursor of dementia) reverts to normal cognition (NC). However, we couldn’t find any reports that have examined the lifestyle activity change patterns of elderly people diagnosed as having MCI and their outcomes in a longitudinal study. We determined the lifestyle activity change patterns among elderly people with MCI. Methods The participants in this study were 769 community-dwelling elders who were ≥65 years old with MCI at baseline. Four years later, participants were classified into reverters who recovered from MCI to NC, maintainers who maintained MCI, and converters who had global cognitive impairment (GCI) or Alzheimer disease (AD). We used latent class analysis (LCA) to classify changes in instrumental activities of daily living (IADL), and cognitive, social, and productive activities of the participants. Subsequently, we performed a multinomial logistic regression analysis with reversion status as dependent variable (the most typical, converters as reference group) and cluster membership as independent variables. Results The reversion rate of 769 participants was 33.3%. The reverters were maintaining multidomain lifestyle activities, converters had discontinued multidomain lifestyle activity or were inactive, and maintainers were maintaining productive activities. According to logistic regression analysis, the activity pattern of continuing to engage in multidomain lifestyle activities and start activity were more likely to recover from MCI to NC (P <.05). Conclusions Elderly participants with MCI who continued their multidomain lifestyle activities were more likely to recover to NC. Even if it does not lead to NC, continuing productive activities is important to maintaining MCI without converting.

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Investigation of the risk and preventive factors for progression of mild cognitive impairment to dementia: a 6-year follow-up study

10.21203/rs.2.347/v1 ◽

2019 ◽

Author(s):

Chengping Hu ◽

Ling Wang ◽

Yi Guo ◽

Zhicheng Cao ◽

Ying Lu ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Cognitive Impairment ◽

High Education ◽

Mild Cognitive Impairment ◽

Logistic Regression Analysis ◽

Protective Factor ◽

Clinical Dementia Rating ◽

Ordered Logistic Regression

Abstract Background: To investigate the cognition change of mild cognitive impairment (MCI) during a 6-year follow-up, and to evaluate the preventive and risk factors for MCI progression to dementia. Methods: This cross-sectional study was based on the results of the epidemiological survey in 2011 (No. PKJ2010-Y26). A total of 441 MCI individuals, 60 years and above were involved. Cognitive function was measured by the mini-mental status examination (MMSE), clinical dementia rating (CDR), montreal cognitive assessment (MoCA), and daily living scale (ADL). The association between demographic characteristics and MCI outcomes were evaluated using single-and multi-factor ordered logistic regression analysis models. Results: Exclusion of the relocated community, the final follow-up rate was 43.8%. Individuals who were older, had more children, not in marriage, and with high income were easily lost to follow-up. Of the 441 MCI, 77 progressed to dementia (MCIp, 17.5%, 95% CI: 14.4-21.6%), 356 remained stable (MCIs, 80.7%, 95% CI: 77.0-88.4%), and 8 reverted to normal cognition (MCIr, 1.8%, 95% CI: 0.6-3.0%) at follow-up in 2017. Diabetes (P=0.047) and past occupations as managers (P=0.028) increased the risk of MCI progression to dementia. While, high education (P=0.006) was the protective factor of MCI progression. Conclusions: High education, nondiabetic, and past occupation as a technical staff might prevent the progression of MCI to dementia. Keywords: Mild cognitive impairment; dementia; ordered logistic regression analysis; education; diabetes; past occupation.

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Disrupted dynamic functional connectivity in distinguishing subjective cognitive decline and amnestic mild cognitive impairment based on the triple-network model

10.21203/rs.3.rs-394271/v1 ◽

2021 ◽

Author(s):

Chen Xue ◽

Wenzhang Qi ◽

Qianqian Yuan ◽

Guanjie Hu ◽

Honglin Ge ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Cognitive Impairment ◽

Executive Function ◽

Mild Cognitive Impairment ◽

Functional Connectivity ◽

Episodic Memory ◽

Amnestic Mild Cognitive Impairment ◽

Subjective Cognitive Decline ◽

Preclinical Ad

Abstract Background Subjective cognitive decline (SCD) and amnestic mild cognitive impairment (aMCI) were wildly thought to be preclinical AD spectrum, who characterized by aberrant functional connectivity (FC) within the triple networks involving the default mode network (DMN), the salience network (SN), and the executive control network (ECN). Dynamic FC (DFC) analysis can capture the temporal fluctuation of brain FC during the scan that static FC analysis cannot provide. The purpose of the current study was to explore the changes of dynamic FC within the triple networks of preclinical AD spectrum, and further reveal its potential diagnostic value in the preclinical AD spectrum. Methods We collected resting-state functional magnetic resonance imaging data from 44 SCD, 49 aMCI, and 58 controls (HC). DFC analysis based on the sliding time-window correlation method were used to analyze the DFC variability within the triple networks among three groups. Then the correlation analysis was conducted to reveal the relationship between the altered DFC variability within the triple networks and the declined cognitive function. Furthermore, the logistic regression analysis was used to assess the diagnostic accuracy of altered DFC variability within the triple networks in SCD and aMCI. Results Compared to HC, SCD and aMCI both showed altered DFC variability within the triple networks. The DFC variability in the right middle temporal gyrus and left inferior frontal gyrus (IFG) within ECN were significantly different between SCD and aMCI. Moreover, the altered DFC variability in the left IFG within ECN was obviously associated with the decline in episodic memory and executive function. Last but not least, the logistic regression analysis showed multivariable analysis had high sensitivity and specificity in the diagnosis of SCD and aMCI. Conclusions SCD and aMCI showed similar and distinct trends in the DFC variability within the triple networks and the altered DFC variability within ECN involved episodic memory and executive function. More importantly, the altered DFC variability and triple-network model proved to be an important biomarker to diagnosis and identification of preclinical AD spectrum.

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Disrupted Dynamic Functional Connectivity in Distinguishing Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment Based on the Triple-Network Model

10.21203/rs.3.rs-394271/v2 ◽

2021 ◽

Author(s):

Chen Xue ◽

Wenzhang Qi ◽

Qianqian Yuan ◽

Guanjie Hu ◽

Honglin Ge ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Functional Connectivity ◽

Cognitive Decline ◽

Network Model ◽

Logistic Regression Analysis ◽

Amnestic Mild Cognitive Impairment ◽

Subjective Cognitive Decline

Abstract Aberrant static functional connectivity (FC) within the triple networks involving the default mode network (DMN), the salience network (SN), and the executive control network (ECN) was found in subjective cognitive decline (SCD) and amnestic mild cognitive impairment (aMCI). However, dynamic FC (DFC) analysis within triple networks of SCD and aMCI was absent. We collected resting-state functional magnetic resonance imaging data from 44 SCD, 49 aMCI, and 58 controls (HC). DFC analysis were used to analyze the DFC variability within the triple networks among three groups. Then the correlation analysis was conducted to reveal the relationship between the altered DFC variability within the triple networks and the declined cognitive function. Furthermore, the logistic regression analysis was used to assess the diagnostic accuracy of altered DFC variability within the triple networks in SCD and aMCI. Compared to HC, SCD and aMCI both showed altered DFC variability within the triple networks. The DFC variability in the right middle temporal gyrus and left inferior frontal gyrus (IFG) within ECN were significantly different between SCD and aMCI. Moreover, the altered DFC variability in the left IFG within ECN was obviously associated with the decline in episodic memory and executive function. Lastly, the logistic regression analysis showed multivariable analysis had high sensitivity and specificity in the diagnosis of SCD and aMCI. The altered DFC variability and triple-network model proved to be an important biomarker to diagnosis and identification of preclinical AD spectrum.

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Disrupted Dynamic Functional Connectivity in Distinguishing Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment Based on the Triple-Network Model

Frontiers in Aging Neuroscience ◽

10.3389/fnagi.2021.711009 ◽

2021 ◽

Vol 13 ◽

Author(s):

Chen Xue ◽

Wenzhang Qi ◽

Qianqian Yuan ◽

Guanjie Hu ◽

Honglin Ge ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Functional Connectivity ◽

Cognitive Decline ◽

Amnestic Mild Cognitive Impairment ◽

Subjective Cognitive Decline ◽

Preclinical Ad ◽

Spectrum Disorders

Background: Subjective cognitive decline and amnestic mild cognitive impairment (aMCI) were widely thought to be preclinical AD spectrum disorders, characterized by aberrant functional connectivity (FC) within the triple networks of the default mode network (DMN), the salience network (SN), and the executive control network (ECN). Dynamic FC (DFC) analysis can capture temporal fluctuations in brain FC during the scan, which static FC analysis cannot. The purpose of the current study was to explore the changes in dynamic FC within the triple networks of the preclinical AD spectrum and further reveal their potential diagnostic value in diagnosing preclinical AD spectrum disorders.Methods: We collected resting-state functional magnetic resonance imaging data from 44 patients with subjective cognitive decline (SCD), 49 with aMCI, and 58 healthy controls (HCs). DFC analysis based on the sliding time-window correlation method was used to analyze DFC variability within the triple networks in the three groups. Then, correlation analysis was conducted to reveal the relationship between altered DFC variability within the triple networks and a decline in cognitive function. Furthermore, logistic regression analysis was used to assess the diagnostic accuracy of altered DFC variability within the triple networks in patients with SCD and aMCI.Results: Compared with the HC group, the groups with SCD and aMCI both showed altered DFC variability within the triple networks. DFC variability in the right middle temporal gyrus and left inferior frontal gyrus (IFG) within the ECN were significantly different between patients with SCD and aMCI. Moreover, the altered DFC variability in the left IFG within the ECN was obviously associated with a decline in episodic memory and executive function. The logistic regression analysis showed that multivariable analysis had high sensitivity and specificity for diagnosing SCD and aMCI.Conclusions: Subjective cognitive decline and aMCI showed varying degrees of change in DFC variability within the triple networks and altered DFC variability within the ECN involved episodic memory and executive function. More importantly, altered DFC variability and the triple-network model proved to be important biomarkers for diagnosing and identifying patients with preclinical AD spectrum disorders.

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Trajectories of irregular word reading ability as a proxy for premorbid intelligence in Alzheimer’s disease, mild cognitive impairment, and healthy aging: A longitudinal study.

Psychological Assessment ◽

10.1037/pas0000565 ◽

2018 ◽

Vol 30 (10) ◽

pp. 1308-1316 ◽

Cited By ~ 2

Author(s):

Michael Weinborn ◽

Romola S. Bucks ◽

Hamid R. Sohrabi ◽

Stephanie R. Rainey-Smith ◽

Belinda M. Brown ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Longitudinal Study ◽

Reading Ability ◽

Healthy Aging ◽

Word Reading ◽

Irregular Word ◽

Premorbid Intelligence

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Impact of impairment in instrumental activities of daily living and mild cognitive impairment on time to incident dementia - results of the Leipzig Longitudinal Study Of The Aged (LEILA75+)

Psychiatrische Praxis ◽

10.1055/s-0031-1277901 ◽

2011 ◽

Vol 38 (S 01) ◽

Author(s):

T Luck ◽

M Luppa ◽

M Angermeyer ◽

A Villringer ◽

HH König ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Longitudinal Study ◽

Activities Of Daily Living ◽

Daily Living ◽

Instrumental Activities ◽

Incident Dementia

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Association of Neutrophil-Lymphocyte Ratio with Mild Cognitive Impairment in Elderly Chinese Adults: A Case-control Study

Current Alzheimer Research ◽

10.2174/1567205017666200103110521 ◽

2020 ◽

Vol 16 (14) ◽

pp. 1309-1315

Author(s):

Peilin An ◽

Xuan Zhou ◽

Yue Du ◽

Jiangang Zhao ◽

Aili Song ◽

...

Keyword(s):

Logistic Regression ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Cognitive Function ◽

Predictive Values ◽

Neutrophil Lymphocyte Ratio ◽

Lymphocyte Ratio ◽

Elderly Chinese ◽

Normal Cognitive Function ◽

The Absolute

Background: Inflammation plays a significant role in the pathophysiology of cognitive impairment in previous studies. Neutrophil-lymphocyte ratio (NLR) is a reliable measure of systemic inflammation. Objective: The aim of this study was to investigate the association between NLR and mild cognitive impairment (MCI), and further to explore the diagnostic potential of the inflammatory markers NLR for the diagnosis of MCI in elderly Chinese individuals. Methods: 186 MCI subjects and 153 subjects with normal cognitive function were evaluated consecutively in this study. Neutrophil (NEUT) count and Lymphocyte (LYM) count were measured in fasting blood samples. The NLR was calculated by dividing the absolute NEUT count by the absolute LYM count. Multivariable logistic regression was used to evaluate the potential association between NLR and MCI. NLR for predicting MCI was analyzed using Receiver Operating Characteristic (ROC) curve analysis. Results: The NLR of MCI group was significantly higher than that of subjects with normal cognitive function (2.39 ± 0.55 vs. 1.94 ± 0.51, P < 0.001). Logistic regression analysis showed that higher NLR was an independent risk factor for MCI (OR: 4.549, 95% CI: 2.623-7.889, P < 0.001). ROC analysis suggested that the optimum NLR cut-off point for MCI was 2.07 with 73.66% sensitivity, 69.28% specificity, 74.48% Positive Predictive Values (PPV) and 68.36% negative predictive values (NPV). Subjects with NLR ≥ 2.07 showed higher risk relative to NLR < 2.07 (OR: 5.933, 95% CI: 3.467-10.155, P < 0.001). Conclusion: The elevated NLR is significantly associated with increased risk of MCI. In particular, NLR level higher than the threshold of 2.07 was significantly associated with the probability of MCI.

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Evolution of Specific Cognitive Subprofiles of Mild Cognitive Impairment in a Three-Year Longitudinal Study

Current Aging Science ◽

10.2174/1874609811104020171 ◽

2011 ◽

Vol 4 (2) ◽

pp. 171-182 ◽

Cited By ~ 8

Author(s):

H. Peraita ◽

S. Garcia-Herranz ◽

C. Diaz-Mardomingo

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Longitudinal Study

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Effect of nutritional risk on cognitive function in patients with chronic obstructive pulmonary disease

Journal of International Medical Research ◽

10.1177/0300060521990127 ◽

2021 ◽

Vol 49 (2) ◽

pp. 030006052199012

Author(s):

Yiben Huang ◽

Jiedong Ma ◽

Bingqian Jiang ◽

Naiping Yang ◽

Fangyi Fu ◽

...

Keyword(s):

Chronic Obstructive Pulmonary Disease ◽

Logistic Regression ◽

Regression Analysis ◽

Cognitive Impairment ◽

Cognitive Function ◽

Pulmonary Disease ◽

Nutritional Risk ◽

Chronic Obstructive ◽

Obstructive Pulmonary Disease ◽

Nrs 2002

Objective We aimed to clarify the cognitive function of patients with chronic obstructive pulmonary disease (COPD) and different nutritional status. Methods Among 95 patients with COPD in this retrospective study, we administered the Nutritional Risk Screening 2002 (NRS 2002) and Mini-Mental State Examination (MMSE). We recorded patients’ clinical characteristics, comorbidities, and laboratory measurements. According to NRS 2002 scores, patients were divided into two groups: no nutritional risk with NRS 2002 < 3 ( n = 54) and nutritional risk, with NRS 2002 ≥ 3 ( n = 41). Results We found a negative correlation between NRS 2002 and MMSE scores in participants with COPD ( r = −0.313). Patients with nutritional risk were more likely to be cognitively impaired than those with no nutritional risk. Multivariate logistic regression analysis indicated that malnutrition was an independent risk factor for cognitive impairment, after adjusting for confounders (odds ratio [OR] = 4.120, 95% confidence interval [CI]: 1.072–15.837). We found a similar association between NRS 2002 and MMSE scores at 90-day follow-up using a Pearson’s correlation test ( r = −0.493) and logistic regression analysis (OR = 7.333, 95% CI: 1.114–48.264). Conclusions Patients with COPD at nutritional risk are more likely to have cognitive impairment.

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