Hand Motor Dysfunction Is Associated with Both Subjective and Objective Cognitive Impairment across the Dementia Continuum.

INTRODUCTION: Motor dysfunction is an important feature of early-stage dementia. Gait provides a non-invasive biomarker across the dementia continuum. Gait speed and rhythm aid risk stratification of incident dementia in subjective cognitive impairment (SCI) and are associated with cognitive domains in mild cognitive impairment (MCI) and dementia. However, hand movement analysis, which may be more accessible, has never been undertaken in SCI and rarely in MCI or dementia. We aimed to address this gap and improve understanding of hand motor-cognitive associations across the dementia continuum. METHODS: A total of 208 participants were recruited: 50 with dementia, 58 MCI, 40 SCI, and 60 healthy controls. Consensus diagnoses were made after comprehensive gold-standard assessments. A computer key-tapping test measured frequency, dwell-time, rhythm, errors, and speed. Associations between key-tapping and cognitive domains and diagnoses were analysed using regression. Classification accuracy was measured using area under receiver operating characteristic curves. RESULTS: Hand frequency and speed were associated with memory and executive domains (p ≤ 0.001). Non-dominant hand rhythm was associated with all cognitive domains. Frequency, rhythm, and speed were associated with SCI, MCI, and dementia. Frequency and speed classified ≥94% of dementia and ≥88% of MCI from controls. Rhythm of the non-dominant hand classified ≥86% of dementia and MCI and 69% of SCI. CONCLUSION: Our findings show hand motor dysfunction occurs across the dementia continuum and, similar to gait, is associated with executive and memory domains and with cognitive diagnoses. Key-tapping performance differentiated dementia and MCI from healthy controls. More research is required before recommending key-tapping as a non-invasive motor biomarker of cognitive impairment.

Purpose in life and cognitive performance and informant ratings of cognitive decline, affect, and activities.

OBJECTIVE: To examine (1) the association between purpose in life and multiple domains of cognitive function and informant-rated cognitive decline, affect, and activities; (2) whether these associations are moderated by sociodemographic factors, cognitive impairment, or depression; (3) whether the associations are independent of other aspects of well-being and depressive symptoms. METHOD: As part of the 2016 Harmonized Cognitive Assessment Protocol from the Health and Retirement Study, participants completed a battery of cognitive tests and nominated a knowledgeable informant to rate their cognitive decline, affect, and activities. Participants with information available on their purpose in life from the 2014/2016 Leave Behind Questionnaire were included in the analytic sample (N = 2,812). RESULTS: Purpose in life was associated with better performance in every cognitive domain examined (episodic memory, speed-attention, visuospatial skills, language, numeric reasoning; median ß =.10, p <.001; median d =.53). Purpose was likewise associated with informant-rated cognitive decline and informant-rated affective and activity profiles beneficial for cognitive health (median ß =.18, p < .001; median d =.55). There was little evidence of moderation by sociodemographic or other factors (e.g., depression). Life satisfaction, optimism, positive affect, and mastery were generally associated with cognition. When tested simultaneously with each other and depressive symptoms, most dimensions were reduced to non-significance; purpose remained a significant predictor. CONCLUSIONS: Purpose in life is associated with better performance across numerous domains of cognition and with emotional and behavioral patterns beneficial for cognitive health that are observable by knowledgeable others. These associations largely generalize across demographic and clinical groups and are independent of other aspects of well-being.

Can mobile health apps with smartphones and tablets be the new frontier of cognitive rehabilitation in older individuals? A narrative review of a growing field.

INTRODUCTION: A recent interesting field of application of telemedicine/e-health involved smartphone apps. Although research on mHealth began in 2014, there are still few studies using these technologies in healthy elderly and in neurodegenerative disorders. Thus, the aim of the present review was to summarize current evidence on the usability and effectiveness of the use of mHealth in older adults and patients with neurodegenerative disorders. METHODS: This review was conducted by searching for recent peer-reviewed articles published between June 1, 2010 and March 2023 using the following databases: Pubmed, Embase, Cochrane Database, and Web of Science. After duplicate removal, abstract and title screening, 25 articles were included in the full-text assessment. RESULTS: Ten articles assessed the acceptance and usability, and 15 articles evaluated the efficacy of e-health in both older individuals and patients with neurodegenerative disorders. The majority of studies reported that mHealth training was well accepted by the users, and was able to stimulate cognitive abilities, such as processing speed, prospective and episodic memory, and executive functioning, making smartphones and tablets valuable tools to enhance cognitive performances. However, the studies are mainly case series, case-control, and in general small-scale studies and often without follow-up, and only a few RCTs have been published to date. CONCLUSIONS: Despite the great attention paid to mHealth in recent years, the evidence in the literature on their effectiveness is scarce and not comparable. Longitudinal RCTs are needed to evaluate the efficacy of mHealth cognitive rehabilitation in the elderly and in patients with neurodegenerative disorders.

Association of plasma biomarkers of Alzheimer's disease and related disorders with cognition and cognitive decline: The MYHAT population-based study.

INTRODUCTION: Plasma biomarkers of Alzheimer's disease and related dementias predict global cognitive performance and decline over time; it remains unclear how they associate with changes in different dementia syndromes affecting distinct cognitive domains. METHODS: In a prospective study with repeated assessments of a randomly selected population-based cohort (n = 787, median age 73), we evaluated performance and decline in different cognitive domains over up to 8 years in relation to plasma concentrations of amyloid beta 42/40 (Aß42/40) ratio, phosphorylated tau181 (p-tau181), neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP). RESULTS: Cross-sectionally, memory showed the strongest associations with p-tau181, and attention, executive, and visuospatial functions with NfL. Longitudinally, memory decline was distinguishable with all biomarker profiles dichotomized according to data-driven cutoffs, most efficiently with Aß42/40. GFAP and Aß42/40 were the best discriminators of decline patterns in language and visuospatial functions, respectively. DISCUSSION: These relatively non-invasive tests may be beneficial for clinical screening after replication in other populations and validation through neuroimaging or cerebrospinal fluid analysis. HIGHLIGHTS: We performed a prospective study with up to 8 years of repeated domain-specific cognitive assessments and baseline plasma Alzheimer's disease and related dementias biomarker measurements in a randomly selected population-based cohort. We considered distinct growth curves of trajectories of different cognitive domains and survival bias induced by missing data by adding quadratic time and applying joint modeling technique. Cross-sectionally, memory showed the strongest associations with plasma phosphorylated tau181, while attention, executive, and visuospatial functions were most strongly associated with neurofilament light chain. Longitudinally, memory and visuospatial declines were most efficiently distinguished by dichotomized amyloid beta 42/40 profile among all plasma biomarkers, while language was by dichotomized glial fibrillary acidic protein. These relatively non-invasive tests may be beneficial for clinical screening; however, they will need replication in other populations and validation through neuroimaging and/or cerebrospinal fluid assessments.

Examining the validity of the Mini-Mental State Examination (MMSE) and its domains using network analysis.

BACKGROUND: The Mini-Mental State Examination (MMSE) is the most widely used standardised screener for impairments across a range of cognitive domains. However, the degree to which its domains (orientation, registration, attention, recall, language, and visuospatial) capture cognitive functioning measured using standardised neuropsychological tests is unclear. METHOD: A longitudinal research design with four biannual assessments over a 6-year period was used with an initial sample of 1037 older adults (aged above 70 years). Participants completed MMSE and neuropsychological tests at each assessment. Network analysis was utilised to investigate unique associations among the MMSE and its domains and neuropsychological test performance at each time point. RESULTS: The total MMSE and two of its domains, language and recall, were associated with neuropsychological memory performance. The MMSE orientation, registration and visuospatial domains did not have any unique associations with neuropsychological performance. No stable internal interconnections between MMSE domains were found over time. The association of total MMSE as well as its recall domain with neuropsychological memory performance remained very similar over the 6-year period. CONCLUSIONS: The present study adds evidence to the validity of the MMSE and supports the clinical usage of the MMSE, whereby the total score is used for screening patients with or without cognitive impairments, with repeated administration to monitor cognitive changes over time, to inform intervention. However, the tool is not able to diagnose the cases for changes in specific cognitive domains and as such, should not replace a complete neuropsychological assessment.

Hearing Loss and Cognitive Function in Early Old Age: Comparing Subjective and Objective Hearing Measures.

INTRODUCTION: Population-based research has consistently shown that people with hearing loss are at greater risk of cognitive impairment. We aimed to explore the cross-sectional association of both subjective and objective hearing measures with global and domain-specific cognitive function. We also examined the influence of hearing aid use on the relationship. METHODS: A population-based sample (n = 1,105, 52% women) of 70-year-olds that were representative of the inhabitants of the city of Gothenburg, Sweden completed a detailed cognitive examination, pure-tone audiometry, and a questionnaire regarding perceived hearing problems. A subsample (n = 247, 52% women) also completed a test of speech-recognition-in-noise (SPRIN). Multiple linear regression analyses were conducted to explore the association of hearing with cognitive function, adjusting for sex, education, cardiovascular factors, and tinnitus. RESULTS: Global cognitive function was independently associated with the better ear pure-tone average across 0.5-4 kHz (PTA4, ß = -0.13, 95% CI, -0.18, -0.07), the better ear SPRIN score (ß = 0.30, 95% CI, 0.19, 0.40), but not with the self-reported hearing measure (ß = -0.02, 95% CI, -0.07, 0.03). Both verbally loaded and nonverbally loaded tasks, testing a variety of cognitive domains, contributed to the association. Hearing aid users had better global cognitive function than nonusers with equivalent hearing ability. The difference was only significant in the mild hearing loss category. DISCUSSION: In a population-based sample of 70-year-old persons without dementia, poorer hearing was associated with poorer global and domain-specific cognitive function, but only when hearing function was measured objectively and not when self-reported. The speech-in-noise measure showed the strongest association. This highlights the importance of including standardized hearing tests and controlling for hearing status in epidemiological geriatric research. More research is needed on the role that hearing aid use plays in relation to age-related cognitive declines.

Cognitive Aging: How the Brain Ages?

Cognitive aging refers to the cognitive changes or functional decline that comes with age. The relation between aging and functional declines involves various aspects of cognition, including memory, attention, processing speed, and executive function. In this chapter, we have introduced several dimensions about cognitive aging trajectories. Meanwhile, we have reviewed the history of the study of cognitive aging and expatiated two trends that are particularly noteworthy in the effort to elucidate the process of aging. One is that the differences between components of mental abilities have become gradually specified. The other one is a growing interest in the neural process, which relates changes in the brain structure to age-related changes in cognition. Lastly, as the basis of cognitive function, brain structures and functions change during aging, and these changes are reflected in a corresponding decline in cognitive function. We have discussed the patterns of reorganization of various structural and functional aging processes of the brain and their relationship with cognitive function.

Cognitive trajectories and incident dementia after a cardiovascular event in older adults.

INTRODUCTION: Cardiovascular disease (CVD) is a recognized risk factor for dementia. Here we determined the extent to which an incident CVD event modifies the trajectory of cognitive function and risk of dementia. METHODS: 19,114 adults (65+) without CVD or dementia were followed prospectively over 9 years. Incident CVD (fatal coronary heart disease, nonfatal myocardial infarction [MI], stroke, hospitalization for heart failure) and dementia (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria) were adjudicated by experts. RESULTS: Nine hundred twenty-two participants had incident CVD, and 44 developed dementia after CVD (4.9% vs. 4.4% for participants without CVD). Following a CVD event there was a short-term drop in processing speed (-1.97, 95% confidence interval [CI]: -2.57 to -1.41), but there was no significant association with longer-term processing speed. In contrast, faster declines in trajectories of global function (-0.56, 95% CI: -0.76 to -0.36), episodic memory (-0.10, 95% CI: -0.16 to -0.04), and verbal fluency (-0.19, 95% CI: -0.30 to -0.01) were observed. DISCUSSION: Findings highlight the importance of monitoring cognition after a CVD event.

Cognitive impairment in people with physical frailty using the phenotype model: A systematic review and meta analysis.

OBJECTIVE: We performed a systematic review and meta-analysis to study the relationship between cognitive functioning and phenotypic frailty status. METHODS: We searched Pubmed, Cochrane Library and Epistemonikos from 2000 until March 2022, and used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Samples included both sexes, age ≥55 years, assessed with standardized measures of the different cognitive domains and the frailty phenotype model and analyzing the relationship between the frailty subtypes pre-frail, frail and robust and specific cognitive function. RESULTS: Eleven studies published from 2008 until March 2022 fulfilled the inclusion criteria, and 10 were included in our meta-analyses. Sample sizes varied from 104 to 4649 individuals. Mean Mini-Mental State Examination (MMSE) scores ranged from 17.0 to 27.6, with mean difference (MD) of -2.55 (95% confidence interval [CI] -3.32, -1.78) in frail compared to robust, MD -1.64 (95% CI -2.21, -1.06) in frail compared to prefrail and MD -0.68 (95% CI -0.94, -0.43) in prefrail compared to robust. In subgroup analyses, frail persons had lower scores in the memory domain with standardized mean difference (SMD) -1.01 (95% CI -1.42, -0.59). CONCLUSION: MMSE scores were significantly lower in frail compared to robust and prefrail persons and in prefrail compared to robust persons. Subgroup analysis of memory revealed significantly poorer scores in frail compared to robust. The results indicate a strong relationship between physical frailty and cognitive impairment suggesting incorporation of cognitive function in frailty assessments.

Skeletal Muscle Density and Cognitive Function: A Cross-Sectional Study in Men.

We aimed to investigate cross-sectional associations between skeletal muscle density, a proxy measure for fatty infiltration into muscle, and cognition. Contributions from body fat mass, systemic inflammation and lifestyle were explored, as these factors have been identified in both muscle and cognitive deterioration. For 281 men (60-95 year) from the Geelong Osteoporosis Study, radial and tibial muscle density were measured using peripheral quantitative computed tomography. Body fat and appendicular lean mass were measured using dual-energy X-ray absorptiometry. Cognitive function was assessed for psychomotor function (DET), visual identification/attention (IDN), visual learning (OCL) and working memory (OBK) (CogState Brief Battery). Composite scores signified overall cognitive function (OCF). Higher scores represent poorer performance except for OCL and OCF. Regression analyses examined associations between muscle density and cognition; potential confounders included age, muscle cross-sectional area (CSA), body composition, lifestyle and serum markers of inflammation. Negative associations with age were evident for muscle density, all cognitive domains and OCF. Muscle density at both sites was positively associated with DET, OCL and OCF. After adjustment for age, the association persisted for DET (radius: B = - 0.006, p = 0.02; tibia: B = - 0.003, p = 0.04) and OCL (radius B = + 0.004, p = 0.02; tibia: B = + 0.005, p < 0.001). At the radius, further adjustment for serum TNF-α explained the association between muscle density (B = - 0.002, p = 0.66) and DET. Education and physical activity contributed to the model for radial muscle density and DET. There were no contributions from muscle CSA, appendicular lean mass, body fat mass, other markers of inflammation or other potential confounders. At the tibia, the association between muscle density and DET (B = - 0.003, p = 0.04) was independent of TNF-α. There was an age-adjusted association between muscle density and OCL at both sites (radius: B = + 0.004, p = 0.02; tibia: B = + 0.005, p < 0.001). None of the potential confounders contributed to the models. Muscle density was associated with cognitive function in the DET and OCL domains. However, there was little evidence that this was explained by inflammation or body fat mass. No associations were identified between muscle density and IDN or OBK.

Cognitive characterization of adult attention deficit hyperactivity disorder by domains: a systematic review.

Attention deficit hyperactivity disorder (ADHD) is reportedly the most frequent neurodevelopmental disorder diagnosed during childhood, and it is recognized as a common condition in adulthood. We review the evidence to help identify cognitive domains associated to deficits in adult ADHD. A systematic review with narrative synthesis was performed, assessing studies on adult ADHD, neuropsychology and research on involved cognitive domains in adults 18+ years old with an established diagnosis of ADHD, in seven electronic databases (PubMed, PsychInfo, WebOfScience, Embase, Scopus, OvidSPMedline, and Teseo), and Worldcat and OpenGrey grey literature databases. 93 studies were included for this review, encompassing findings from a total 5574 adults diagnosed only with ADHD, medication-naïve or non-medicated at the moment of the assessment and 4880 healthy controls. Adults diagnosed with ADHD may show, when compared to healthy controls, a cognitive profile characterized by deficits across all attention modalities, processing speed, executive function (mainly working memory and inhibition with emphasis on reward delay and interference control), verbal memory, reading skills, social cognition and arithmetic abilities. A cognitive characterization of adult ADHD by domains is established beyond the sole consideration of attention and executive function problems. Along with these, verbal memory, language (mainly reading), social cognition and arithmetic abilities may also contribute to a more comprehensive characterization of the cognitive profile in adult ADHD.

Clinical utility of mild cognitive impairment subtypes and number of impaired cognitive domains at predicting progression to dementia: A 20-year retrospective study.

OBJECTIVE: To determine the utility of mild cognitive impairment (MCI) subtypes and number of impaired cognitive domains on initial assessment at predicting progression to dementia in a sample of memory clinic patients over a 20-year period. METHODS: A retrospective analysis was conducted of those presenting to a memory clinic with MCI from 1 January 1999 to 31 December 2018 inclusive. Those with MCI were broken down into one of the four subtypes using recommended cut-off scores on the Cambridge Cognitive Assessment (CAMCOG). Binomial logistic regression analysis was used to determine the utility of MCI subtypes and number of impaired cognitive domains as predictors for dementia. RESULTS: Overall 1188 individuals with MCI diagnosis were identified, with 378 (32%) progressing to dementia, with median [range] time to diagnosis of 2 years [1-8.4]. Six hundred and forty-nine (55%) were identified as amnestic MCI and 539 (45%) as non-amnestic MCI. Amnestic MCI was a significant predictor of progression compared to non-amnestic MCI (OR = 1.85, df = 1, P < .001). Number of cognitive domains impaired was also a significant predictor of progression to dementia (OR = 1.07, df = 1, P = .01) but the single-/multi-domain distinction was not (OR = 1.29, df = 1, P = .36). CONCLUSION: This study shows that approximately 32% of those diagnosed with MCI in a memory clinic progressed to dementia, with a median time to progression of 2 years. Those with amnestic MCI are almost twice as likely to progress to dementia than non-amnestic MCI and that therefore this is a useful distinction. However, the utility of the single- and multi-domain MCI distinction is called into question by our findings.

Longitudinal associations between sleep duration and cognitive function in the elderly population in China: A 10-year follow-up study from 2005 to 2014.

OBJECTIVE: Sleep duration is increasingly recognized as an important determinant of cognitive function among elderly. However, longitudinal studies on the relationship between sleep duration and cognitive function in Chinese elderly are rare. We sought to investigate the longitudinal association between sleep duration and cognitive function in Chinese elderly during a 10-year follow-up. METHOD: This longitudinal study analyzed 2148 elderly (the baseline including 43.16% aged 70%-79%, 23.79% aged 80 and over) who had participated in four waves of the Chinese Longitudinal Healthy Longevity Survey during 2005-2014. Cognitive function (including global functioning and cognitive domains) was assessed using the Chinese version of the Mini-Mental State Examination. Sleep duration was assessed via self-reports. Mixed model analysis was used to evaluate the association between sleep duration and cognitive function, adjusting for sociodemographic variables and risk factors for cognitive function. RESULTS: There is an inverted U-shaped relationship between sleep duration and global cognition and cognitive domains, with the highest cognitive scores observed for sleep durations between 6 and 9 h and the curve shifting from smooth to steeper from 2005 to 2014. The regression model showed that long sleep duration (>9 h) is significantly associated with global cognition and four cognitive domains: orientation, attention and calculation, immediate recall and visual construction. Both long and short sleep durations are significantly associated with delayed recall and not significantly associated with category fluency, language or the ability to follow a three-stage command. The five cognitive domains related to sleep duration are the domains that exhibited a rapid rate of decline. CONCLUSIONS: Sleep duration can be identified as a modifiable risk factor for cognitive decline, as long or short sleep duration is associated with the five cognitive domains that exhibit cognitive decline. These findings suggest the need for intervention measures to maintain healthy sleep durations among Chinese elderly people.

Psychomotor processing and functional decline in Parkinson's disease predicted by the Purdue Pegboard test.

BACKGROUND: The Purdue Pegboard test (PPT) assesses upper-extremity dexterity and motor skills. We hypothesized that PPT skill would predict functional and cognitive decline in Parkinson's disease (PD), independent of observer-rated measures of motor impairment. METHODS: We utilized data from 399 PD participants enrolled in the deprenyl and tocopherol antioxidative therapy of Parkinsonism trial. Unified Parkinson Disease Rating Scale (UPDRS) metrics, neuropsychological assessments, and clinical rating scales were extracted for analysis with multivariate linear mixed-effects and generalized estimating equation regression models. RESULTS: In multivariate logistic regression, higher baseline and time-varying PPT scores predicted better visual processing speed and attention throughout longitudinal follow-up. No similarly strong associations were found for tests of memory, nonvisual attention, phonemic fluency, or set-shifting. Independently of observer-rated motor impairment (UPDRS part III), PPT performance was significantly associated with changes in activities of daily living (ADL) function measured with UPDRS part II. Low baseline PPT score (≤10th percentile) doubled the relative risk of later ADL dysfunction (≥90th percentile). CONCLUSIONS: PPT impairment selectively predicted declining psychomotor processing speed in PD. The domain-specificity of this association may reflect correlated pathophysiological changes in top-down visual and motor control pathways. PPT also predicted increasing ADL dysfunction after adjusting for objective measures of motor impairment. We suggest that PPT scores may be prognostically useful for predicting cognitive changes and ADL dysfunction, which have dramatic impacts on both patient and caregiver quality of life. Furthermore, simple task-based assessments like the PPT could be investigated for remote assessment in PD.

Impact of Cochlear Implantation on Neurocognitive Subdomains in Adult Cochlear Implant Recipients.

INTRODUCTION: Age-related hearing loss affects about one-third of the population worldwide. Studies suggest that hearing loss may be linked to cognitive decline and auditory rehabilitation may improve cognitive functions. So far, the data are limited, and the underlying mechanisms are not fully understood. The study aimed to analyze the impact of cochlear implantation on cognition in a large homogeneous population of hearing-impaired adults using a comprehensive non-auditory cognitive assessment with regard to normal-hearing (NH) subjects. MATERIAL AND METHODS: Seventy-one cochlear implant (CI) candidates with a postlingual, bilateral severe or profound hearing loss aged 66.3 years (standard deviation [SD] 9.2) and 105 NH subjects aged 65.96 years (SD 9.4) were enrolled. The computer-based neurocognitive tool applied included 11 subtests covering attention (M3), short- and long-term memory (recall and delayed recall), working memory (0- and 2-back, Operation Span [OSPAN] task), processing speed (Trail Making Test [TMT] A), mental flexibility (TMT B), inhibition (cFlanker and iFlanker), and verbal fluency. CI patients underwent a neurocognitive testing preoperatively as well as 12 months postoperatively. Impact of hearing status, age, gender, and education on cognitive subdomains was studied. Additionally, after controlling for education and age, cognitive performance of CI subjects (n = 41) was compared to that of NH (n = 34). RESULTS: CI users achieved significantly better neurocognitive scores 12 months after cochlear implantation than before in most subtests (M3, [delayed] recall, 2-back, OSPAN, iFlanker, and verbal fluency; all p < 0.05) except for the TMT A and B. A significant correlation could be found between the postoperative improvement in speech perception and in the attentional task M3 (p = 0.01). Hearing status (p = 0.0006) had the strongest effect on attention, whereas education had a high impact on recall (p = 0.002), OSPAN (p = 0.0004), and TMT A (p = 0.005) and B (p = 0.003). Inhibition was mainly age-dependent with better results in younger subjects (p = 0.016). Verbal fluency was predicted by gender as females outperformed men (p = 0.009). Even after controlling for age and education NH subjects showed a significantly better performance than CI candidates in the recall (p = 0.03) and delayed recall (p = 0.01) tasks. Postoperatively, there was no significant difference between the 2 groups anymore. CONCLUSION: Impact of cochlear implantation on neurocognitive functions differs according to the cognitive subdomains. Postoperatively, CI recipients performed as good as age- and education-matched NH subjects.

Improving cognitive functions in adolescents with learning difficulties: A feasibility study on the potential use of telerehabilitation during Covid-19 pandemic in Italy.

INTRODUCTION: Learning disabilities are due to genetic and/or neurobiological factors that alter brain functioning by affecting one or more cognitive processes related to learning. This study aimed to assess the efficacy of cognitive telerehabilitation in adolescents with learning disabilities to overcome the treatment problems related to the COVID-19 pandemic lockdown. METHODS: Twenty-four patients diagnosed with Unspecified Learning Disability (mean ± SD age: 18.2 ± 2.9 years; 50% male) were enrolled in this study. The patients were assessed by a neuropsychological evaluation at the beginning and at the end of the program. All patients received cognitive treatment via a specific telehealth app to stimulate the cognitive skills related to learning. The treatment lasted four weeks, with a daily training (lasting up to 60 min), for five days a week. RESULTS: Our young patients reported a statistically significant improvement in the main cognitive domains that are usually compromised in learning disabilities, including sustained and selective attention, shifting of attention, control of interference, memory and speed of information processing. Moreover, the patients showed a good usability and motivation during the training. CONCLUSIONS: Our study has shown that telerehabilitation could be a valid tool for the rehabilitation of specific cognitive skills in adolescents with learning difficulties.

Temporal Changes in Cognitive Function in Early Recovery Phase of the Stroke.

OBJECTIVES: Only a few studies longitudinally evaluated all cognitive domains after acute stroke. The purpose was to study the changes in cognitive function after acute stroke. MATERIALS AND METHODS: Cognitive assessment, using Thai mental state examination (TMSE) and Montreal Cognitive Assessment (MOCA), was performed at the acute stroke, and at 3 and 6 months after stroke. Cognitive domains were evaluated by MOCA subcategory score. TMSE and MOCA were compared at different stages of stroke and in among those with normal cognition (NC), vascular mild cognitive impairment (VMCI) and vascular dementia (VAD). RESULTS: 138 patients were included. At 6 months, 32 patients (23%) had NC. VMCI and VAD were diagnosed in 76 patients (55%), and 30 patients (22%), respectively. Total scores of TMSE and MOCA were higher at 3 months as compared to at the acute stroke (TMSE; 24.85 vs 23.01, p-value <0.001, MOCA; 19.30 vs 16.49, p-value <0.001), and higher TMSE, but not MOCA, at 6 months as compared to at 3 months (TMSE; 25.35 vs 24.85, p-value= 0.021, MOCA; 19.04 vs 19.30, p-value= 0.058). Changes in total scores at early stroke were highest in NC. VMCI and VAD patients had cognitive impairment in all cognitive domains. CONCLUSIONS: Cognitive impairment was highest at the acute stroke and improved during early recovery. The greatest rate of improvement occurred within 3 months. Improvement was found in all cognitive domains.

Assessing delirium with nursing care instruments: Evaluation of the cognitive and associated domains.

OBJECTIVE: Nursing instruments have the potential for daily screening of delirium; however, they have not yet been evaluated. Therefore, after assessing the functional domains of the electronic Patient Assessment - Acute Care (ePA-AC), this study evaluates the cognitive and associated domains. METHODS: In this prospective cohort study in the intensive care unit, 277 patients were assessed and 118 patients were delirious. The impacts of delirium on the cognitive domains, consciousness and cognition, communication and interaction, in addition to respiration, pain, and wounds were determined with simple logistic regressions and their respective odds ratios (ORs). RESULTS: Delirium was associated with substantial impairment throughout the evaluated domains. Delirious patients were somnolent (OR 6), their orientation (OR 8.2-10.6) and ability to acquire knowledge (OR 5.5-11.6) were substantially impaired, they lost the competence to manage daily routines (OR 8.2-22.4), and their attention was compromised (OR 12.8). In addition, these patients received psychotropics (OR 3.8), were visually impaired (OR 1.8), unable to communicate their needs (OR 5.6-7.6), displayed reduced self-initiated activities (OR 6.5-6.9) and challenging behaviors (OR 6.2), as well as sleep-wake disturbances (OR 2.2-5), Furthermore, delirium was associated with mechanical ventilation, abdominal/thoracic injuries or operations (OR 4.2-4.4), and sensory perception impairment (OR 3.9-5.8). SIGNIFICANCE OF RESULTS: Delirium caused substantial impairment in cognitive and associated domains. In addition to the previously described functional impairments, these findings will aid the implementation of nursing instruments in delirium screening.

[Cognition function and its influencing factors among people aged 55 and above in 4 provinces of China from 2018 to 2019].

OBJECTIVE: To analyze the current situation of cognition function of people aged 55 and above in 4 provinces of China, and to explore its influencing factors of demographic characteristics. METHODS: Using the baseline data of the "Community-based Cohort Study on Nervous System Diseases", middle-aged and older populations aged ≥55 years with completed data on demographic and economic factors and the cognitive function scale were selected as study subjects. A total of 5103 subjects were included in the study(male 2294, female 2809, 55-64 years old 1875, 65-74 years old 2197, 75-94 years old 1031). Multi-stage stratified cluster random sampling was adopted, and survey subjects were selected from a total of 32 communities in Hebei, Zhejiang, Shaanxi and Hunan provinces. The baseline data obtained from a face-to-face questionnaire survey was entered using electronic tablets on the spot. Montreal cognitive assessment(MoCA) and activities of daily living scale(ADL) were used to determine mild cognitive impairment(MCI) and its subtypes. Multiple linear regression and multiple Logistic regression model were used to analyze the influencing factors of cognitive function in populations. RESULTS: Among middle-aged and elderly Chinese populations, the score of overall cognitive function and its sub-domains were 21. 79±6. 17, 11. 20±4. 18(memory), 8. 81±3. 31(execution), 5. 33±1. 76(visual-spatial ability), 4. 53±1. 40(language), 13. 32±3. 98(attention) and 5. 54±0. 95(orientation). The prevalence of MCI and its subtypes were 35. 86%, 4. 57%(amnestic MCI single domain, aMCI-SD), 3. 64%(nonamnestic MCI single domain, naMCI-SD), 6. 68%(amnestic MCI multiple domains, aMCI-MD) and 3. 94%(nonamnestic MCI multiple domains, naMCI-MD). Subjects aged ≥55 years, living in rural areas, or with per capita monthly household income less than 1000 yuan had lower score of overall cognitive function and its sub-domains(P<0. 05), and also had lower prevalence of MCI and its subtypes. The OR of MCI, naMCI-SD, aMCI-MD and naMCI-MD was 2. 38(95% CI 1. 98-2. 86), 1. 54(95% CI 1. 01-2. 34), 2. 30(95% CI 1. 65-3. 20) and 3. 11(95% CI 2. 07-4. 69) respectively in subjects aged ≥75 years versus those aged 55-64 years, and of MCI, naMCI-SD and aMCI-MD was 3. 02(95%CI 2. 48-3. 66), 4. 30(95%CI 2. 69-6. 88) and 2. 62(95%CI 1. 81-3. 79) respectively in those living in rural areas versus those living in city areas. Subjects with higher per capita monthly household income had lower ORs of MCI and its subtypes. CONCLUSION: The prevalence rate of MCI among people aged 55 and above in four provinces in China is at a relatively high level. In the studied 4 provinces of China, about 35% of Chinese middle-aged and elderly populations are affected by MCI. The status of overall cognitive function and its sub-domains of subjects aged 75 years and above, living rural areas and with lower per capita monthly household income are poor, and they may have a higher risk of MCI and its subtypes.

Metabolic Syndrome and Cognition: Follow-Up Study of Chinese Over-55-Year-Olds.

BACKGROUND/AIM: Studies of the associations of the metabolic syndrome (MetS) with cognitive function and decline are inconclusive. We investigated the associations of the MetS with cognitive functions in 823 Chinese >55-year-olds followed up over 4.5 years. METHODS: The relationships between the MetS and baseline and follow-up z-scores of cognitive domain functions were examined using mixed model analysis. RESULTS: There were specific inverse cross-sectional associations of single cardiometabolic risk factors with cognition, such as hyperglycemia with processing speed (p = 0.045). The MetS was negatively associated with 3 out of 4 cognitive domains (p = 0.018 to p = 0.003), and the count of cardiometabolic risk factors with all cognitive domains (p = 0.025 to p = 0.002). Longitudinally, dyslipidemia was associated with worse decline in memory and learning (p = 0.022). The count of cardiometabolic risk factors was associated with worse declines in cognition (p = 0.032 for global cognition). CONCLUSION: Among middle-aged and older Asians, an increased number of component cardiometabolic risk factors of the MetS was associated with a worse decline in cognitive function over time.