Balance and gait performance in older adults with early-stage cognitive impairment

Physical performance tests for preliminary cognitive screening in older adults: A systematic review of strength, walking, and balance assessments

OBJECTIVE

The aim of this systematic review is to determine which physical tests, particularly those assessing strength, walking abilities and balance stability, can provide the most pertinent information for a preliminary screening of cognitive status, facilitating further cognitive evaluation.

METHODS

A systematic search was conducted using the PubMed and Web of Science databases. Studies that assessed both strength or balance stability and cognitive state in community-dwelling adults aged ≥60 years old were selected for inclusion.

RESULTS

The search strategy identified a total of 864 studies. After removing duplicates and applying inclusion and exclusion criteria, ten studies comprising a total of 6868 subjects were included in the review. According to the GRADE system, the studies were classified as low quality. Cognitively healthy individuals exhibited better balance, higher strength levels, greater gait speed and higher instrumental activities of daily living scores compared to those with mild cognitive impairment or cognitive impairment.

CONCLUSION

The assessment of physical function in older adults may serve as a useful tool in identifying impairments associated with physical frailty, sarcopenia, and cognitive decline. Early screening based on physical performance could assist healthcare professionals in determining the need for further cognitive assessment, potentially aiding in the prevention or early detection of cognitive decline.

Effects of dance interventions on cognitive function, balance, mobility, and life quality in older adults: A systematic review and Bayesian network meta-analysis

BACKGROUND

Physical inactivity in older adults is strongly associated with a variety of health problems that may lead to cognitive decline and impaired physical and mental health. The aim of this study was to investigate the effectiveness of five different dances on cognitive function and quality of life in older adults.

METHODS

seven databases were systematically searched. Two reviewers independently completed the screening, quality assessment and data extraction of the study. Standardized mean differences (SMDs) were calculated using the Network package in Stata software and network meta-analyses (NMAs) were conducted using Bayesian consistency models using the GeMTC package in R software.

RESULTS

The NMA consisted of 28 studies involving 1967 older adults aged 60 years or older, focusing on five different types of dance interventions. The results of the NMA showed that only ballroom dancing significantly improved cognitive function (SMD = 0.89, 95 % confidence interval [CI] (0.07, 1.70)), whereas tango and folk dancing significantly improved balance (SMD = 1. 62, 95 % CI (0.50, 2.76), (SMD = 1.43, 95 % CI (0.15, 2.81)), while tango and self-created dance enhanced mobility (SMD = -1.42, 95 % CI (-2.60, -0.25), (SMD = -1.20, 95 % CI (-2.10, -0.37)). Furthermore, square dancing was the only intervention that significantly improved mental health (SMD = 1.11, 95 % CI (0.03, 2.31)).

CONCLUSION

Ballroom dancing and square dancing appear to be the most effective interventions for improving cognitive ability and mental health, respectively, while tango shows promise as an intervention for improving balance and mobility.

Effect of acupuncture on the gait disturbance and hemodynamic changes in the prefrontal cortex: a study protocol for a randomized controlled trial

Background

Alzheimer's disease (AD) is characterized by cognitive impairment and behavioral impairment. The gait of AD patients is attracting the increasing attention. The aim of this randomized controlled trial (RCT) is to explore the effect of acupuncture on the cognitive function, gait performance, and hemodynamic changes in the prefrontal cortices.

Methods

In this RCT, a total of 108 AD patients will be randomly assigned into acupuncture group or control group for 8 weeks. The primary outcome will be three-dimensional gait analysis and cerebral hemodynamics using functional near-infrared spectroscopy (fNIRS). Secondary outcomes will include Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and Barthel Index (BI).

Discussion

This trial is expected to explore the effect of acupuncture on cognitive function, gait performance, and hemodynamic changes in the prefrontal cortices for AD patients.

The psychometric properties of the Four Square Step Test in older adults with mild cognitive impairment

PURPOSE

The study aimed to determine the test-retest, interrater, and minimum detectable change, concurrent and known-groups validity in older adults with mild cognitive impairment. Minimal detectable change values are the degree of change needed to exceed a measurement's error within a confidence limit.

METHODS

A total of 46 older adults with mild cognitive impairment and 34 healthy controls were included. The Four Square Step Test was used together with the Timed Up and Go Test, Berg Balance Scale, Functional Reach Test, and One-Leg Stand Test.

RESULTS

The Four Square Step Test revealed high interrater and test-retest reliability (ICC = 0.963-0.986 and 0.937-0.956, respectively). The cut-off times of 15.11 s best distinguished older adults as fallers from non-fallers with mild cognitive impairment.

CONCLUSIONS

The Four Square Step Test is a valid, reliable, applicable, and safe dynamic balance evaluation to identify subtle changes to dynamic balance in mild cognitive impairment patients.

Diagnostic accuracy of heart rate variability as a screening tool for mild neurocognitive disorder

Background

Mild neurocognitive disorder (mNCD) is recognized as an early stage of dementia and is gaining attention as a significant healthcare problem due to current demographic changes and increasing numbers of patients. Timely detection of mNCD provides an opportunity for early interventions that can potentially slow down or prevent cognitive decline. Heart rate variability (HRV) may be a promising measure, as it has been shown to be sensitive to cognitive impairment. However, there is currently no evidence regarding the diagnostic accuracy of HRV measurements in the context of the mNCD population. This study aimed to evaluate the diagnostic accuracy of vagally-mediated HRV (vm-HRV) as a screening tool for mNCD and to investigate the relationship between vm-HRV with executive functioning and depression in older adults who have mNCD.

Methods

We retrospectively analyzed data from healthy older adults (HOA) and individuals with a clinical diagnosis of mNCD with a biomarker-supported characterization of the etiology of mNCD. Diagnostic accuracy was evaluated using receiver operating characteristic curve analysis based on the area under the curve. Sensitivity and specificity were calculated based on the optimal threshold provided by Youden's Index. Multiple linear regression analyses were conducted to investigate the relationship between vm-HRV and executive functioning and depression.

Results

This analysis included 42 HOA and 29 individuals with mNCD. The relative power of high frequency was found to be increased in individuals with mNCD. The greatest AUC calculated was 0.68 (with 95% CI: 0.56, 0.81) for the relative power of high frequency. AUCs for other vm-HRV parameters were between 0.53 and 0.61. No consistent correlations were found between vm-HRV and executive functioning or depression.

Conclusion

It appears that vm-HRV parameters alone are insufficient to reliably distinguish between HOA and older adults with mNCD. Additionally, the relationship between vm-HRV and executive functioning remains unclear and requires further investigation. Prospective studies that encompass a broad range of neurocognitive disorders, HRV measurements, neuroimaging, and multimodal approaches that consider a variety of functional domains affected in mNCD are warranted to further investigate the potential of vm-HRV as part of a multimodal screening tool for mNCD. These multimodal measures have the potential to improve the early detection of mNCD in the future.

Risk factors for falls in older people with pre-frailty: A systematic review and meta-analysis

BACKGROUND

Frailty is considered highly prevalent among the elderly, and falls are a severe adverse event that occurs at a significantly higher rate in frail elderly patients, leading to serious consequences. The pre-frailty stage represents a reversible transitional state between health and frailty, and targeted interventions for pre-frail older adults can effectively reduce the incidence of falls in this population. Existing studies have not definitely identified the risk factors for falls in pre-frail older adults. This paper explores the relevant risk factors for falls in pre-frail older adults.

METHODS

PubMed, Embase, Web of Science, Cochrane Library, CBM, CNKI, Wan fang, and VIP databases were searched for studies published from inception to 2023, without language restrictions. Observational studies were included in this systematic review that analyzed risk factors for accidental falls in pre-frail older adults. The NOS scale was used to evaluate the quality of cohort studies and case-control studies, while the AHRQ scale was used to evaluate the quality of the cross-sectional study. We utilized odds ratios (OR) and their corresponding 95 % confidence intervals (CI) to describe the statistical indicators. OR and 95 % CI values were directly extracted and organized in Excel. In cases where OR and CI values were not directly available, we extracted β and p values, calculated Exp using functions, and subsequently derived OR and 95 % CI using formulas. Finally, data pertaining to each risk factor were incorporated into RevMan 5.4 software for statistical analysis and effect size synthesis. We performed tests for heterogeneity and evaluated publication bias.

RESULTS

A total of 14,370 studies were initially identified, and 26 studies were included in the systematic review. Among these studies, 14 were of high quality, while the remaining 12 were of moderate quality. A total of 16 risk factors were identified as potential risk factors for falls in pre-frail older adults. Significant risk factors were peripheral neuropathy(OR = 3.18, 95 %CI:3.02-3.35), decreased gait speed(OR = 1.90, 95 %CI:1.60-2.27), decreased ability to perform activities of daily living(OR = 1.57, 95 % CI:1.42-1.75), grip strength decreases(OR = 1.53, 95 % CI:1.17-2.00), gender (female)(OR = 1.51, 95 % CI:1.39-1.64), pain(OR = 1.47, 95 %CI:1.41-1.54), history of falls(OR = 1.20, 95 %CI:1.13-1.28) and age(OR = 1.10, 95 %CI:1.07-1.14).

CONCLUSIONS

The occurrence of falls in pre-frail older adults is associated with multiple risk factors. These risk factors can provide clinical nursing staff with specific focal points for monitoring this population and devising targeted fall prevention measures, with the aim of reducing the incidence of falls in pre-frail older adults.

REGISTRATION

The systematic review was registered on the International Prospective Register of Systematic Review (CRD42023450670).

Cognitive functions explain discrete parameters of normal walking and dual-task walking, but not postural sway in quiet stance among physically active older people

BACKGROUND

Postural control is dependent on the central nervous system's accurate interpretation of sensory information to formulate and execute adequate motor actions. Research has shown that cognitive functions are associated with both postural control and fall risk, but specific associations are not established. The aim of this study was to explore how specific components of everyday postural control tasks are associated with both general and specific cognitive functions.

METHODS

Forty-six community-dwelling older adults reported their age, sex, physical activity level, falls and fall-related concerns. The following cognitive aspects were assessed: global cognition, executive functions, processing speed and intraindividual variability. Postural control was quantified by measuring postural sway in quiet stance, walking at a self-selected pace, and walking while performing a concurrent arithmetical task. Separate orthogonal projections of latent structures models were generated for each postural control outcome using descriptive and cognitive variables as explanatory variables.

RESULTS

Longer step length and faster gait speed were related to faster processing speed and less intraindividual variability in the choice reaction test. Moreover, longer step length was also related to less fall-related concerns and less severe fall-related injuries, while faster gait speed was also related to female sex and poorer global cognition. Lower dual-task cost for gait speed was explained by the executive function inhibition and faster processing speed. Postural sway in quiet stance was not explained by cognitive functions.

CONCLUSIONS

Cognitive functions explained gait speed and step length during normal walking, as well as the decrease of gait speed while performing a concurrent cognitive task. The results suggest that different cognitive processes are important for different postural control aspects. Postural sway in quiet stance, step time and gait variability seem to depend more on physical and automatic processes rather than higher cognitive functions among physically active older people. The relationships between cognitive functions and postural control likely vary depending on the specific tasks and the characteristics of different populations.

Sleep duration and leisure activities are involved in regulating the association of depressive symptoms, muscle strength, physical function and mild cognitive impairment

Background

In order to lessen the burden of Alzheimer's disease (AD), timely and efficient management and intervention methods for mild cognitive impairment (MCI) are crucial. MCI is seen as a transitional stage between normal aging and dementia. Although sarcopenia is an important risk factor for MCI, it is unclear what factors mediates and regulates the brain-muscle communication. Our objective was to investigate the indirect moderating effects of sleep duration and leisure activity on depressive symptoms, sarcopenia and MCI.

Method

Panel data from the 2015 China Health and Retirement Longitudinal Study (CHARLS) database was used in this investigation. we used Bootstrap sampling to determine the relationship between sleep duration, leisure activity, depressive symptoms, sarcopenia, and MCI in mediation and indirect moderation models. The outcome measurements were odds ratio (OR) and confidence interval (CI).

Result

After adjusting for confounding variables, we discovered that sarcopenia and its traits, such as handgrip strength, gait speed, standing test, and muscle mass, were significantly correlated with MCI. Second, the results implied that depressive symptoms played a role in modulating the link between physical function, muscle strength, and MCI. This moderating effect was impacted by short sleep duration and moderate to high levels of leisure activities.

Conclusion

We discovered that MCI was highly correlated not only with physical function and muscle strength but also with depressed symptoms, which acted as a partially mediating factor in this connection. Handgrip strength, gait speed, and standing test mediated the correction of MCI caused by depression symptoms. Importantly, leisure activities and sleep duration had indirect moderating effects on the above associations, and future management policies should take these factors into account.

Impact of distinct cognitive domains on gait variability in individuals with mild cognitive impairment and dementia

BACKGROUND

Gait variability is a common feature in neurodegenerative diseases and has been linked to cognitive impairment. Despite this link, the influence of specific cognitive domains, such as memory, visual spatial skills, executive function, and verbal function on gait variability is not well-understood.

OBJECTIVE

To investigate the predictive value of these specific cognitive domains on gait variability in people with mild cognitive impairment (MCI) and dementia during preferred and dual task walking.

METHOD

One hundred and two participants with either MCI or dementia underwent a comprehensive cognitive assessment and completed preferred and dual-task walking trials on a pressure-sensing walkway. Gait variability was assessed using the PKMAS software. Lower extremity function was evaluated with a self-reported validated scale.

RESULTS

Our findings indicate that only visual spatial abilities had a moderate predictive value on gait variability [F (1, 78) = 17.30, p < 0.01, r = 0.43], both in preferred pace walking (70% direct effect) and dual-task walking (90% direct effect) (p's < 0.05). Additionally, lower extremity functional skills had a significant indirect effect (30%) on gait variability in preferred walking contexts.

CONCLUSION

For individuals diagnosed with MCI or dementia, increased gait variability may be driven by deficits in visual spatial processing. An increased understanding of the role of visual spatial processing in gait variability can aid in the assessment and management of individuals with MCI or dementia, potentially leading to targeted interventions to improve mobility and safety.

The Impact of Dual-Tasks and Disease Severity on Posture, Gait, and Functional Mobility among People Living with Dementia in Residential Care Facilities: A Pilot Study

Gait speed and timed-up-and-go (TUG) predict cognitive decline, falls, and mortality. Dual-tasks may be useful in cognitive screening among people living with dementia (PWD), but more evidence is needed. This cross-sectional study aimed to compare single- and dual-task performance and determine the influence of dementia severity on dual-task performance and interference. Thirty PWD in two residential care facilities (Age: 81.3 ± 7.1 years; Montreal Cognitive Assessment: 10.4 ± 6.0 points) completed two trials of single- (feet apart) and dual-task posture (feet apart while counting backward), single- (walk 4 m) and dual-task gait (walk 4m while naming words), and single- (timed-up-and-go (TUG)), and dual-task functional mobility (TUG while completing a category task) with APDM inertial sensors. Dual-tasks resulted in greater sway frequency, jerk, and sway area; slower gait speed; greater double limb support; shorter stride length; reduced mid-swing elevation; longer TUG duration; reduced turn angle; and slower turn velocity than single-tasks (ps < 0.05). Dual-task performance was impacted (reduced double limb support, greater mid-swing elevation), and dual-task interference (greater jerk, faster gait speed) was related to moderate-to-severe compared to mild PWD. Moderate-to-severe PWD had poorer dynamic stability and a reduced ability to appropriately select a cautious gait during dual-tasks than those with mild PWD, indicating the usefulness of dual-tasks for cognitive screening.

Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning

Accurate balance assessment is important in healthcare for identifying and managing conditions affecting stability and coordination. It plays a key role in preventing falls, understanding movement disorders, and designing appropriate therapeutic interventions across various age groups and medical conditions. However, traditional balance assessment methods often suffer from subjectivity, lack of comprehensive balance assessments and remote assessment capabilities, and reliance on specialized equipment and expert analysis. In response to these challenges, our study introduces an innovative approach for estimating scores on the Modified Clinical Test of Sensory Interaction on Balance (m-CTSIB). Utilizing wearable sensors and advanced machine learning algorithms, we offer an objective, accessible, and efficient method for balance assessment. We collected comprehensive movement data from 34 participants under four different sensory conditions using an array of inertial measurement unit (IMU) sensors coupled with a specialized system to evaluate ground truth m-CTSIB balance scores for our analysis. This data was then preprocessed, and an extensive array of features was extracted for analysis. To estimate the m-CTSIB scores, we applied Multiple Linear Regression (MLR), Support Vector Regression (SVR), and XGBOOST algorithms. Our subject-wise Leave-One-Out and 5-Fold cross-validation analysis demonstrated high accuracy and a strong correlation with ground truth balance scores, validating the effectiveness and reliability of our approach. Key insights were gained regarding the significance of specific movements, feature selection, and sensor placement in balance estimation. Notably, the XGBOOST model, utilizing the lumbar sensor data, achieved outstanding results in both methods, with Leave-One-Out cross-validation showing a correlation of 0.96 and a Mean Absolute Error (MAE) of 0.23 and 5-fold cross-validation showing comparable results with a correlation of 0.92 and an MAE of 0.23, confirming the model's consistent performance. This finding underlines the potential of our method to revolutionize balance assessment practices, particularly in settings where traditional methods are impractical or inaccessible.

Rasch analysis of Morse Fall Scale among the older adults with cognitive impairment in nursing homes

This is a cross-sectional study to investigate the efficacy of Morse Fall Scale (MFS) in nursing homes for older adults with cognitive impairment. According to Rasch analysis, the person separation index was 0.95 (person reliability 0.48), and the item separation index was 9.23 (item reliability 0.99). Wright map showed all items can be considered appropriately directed to the older adults, but the items mainly located at both ends with the center missing. Each item was accepted with good infit and outfit statistics with positive PTMEA CORR. values from 0.49 to 0.68. Two items could be significant differential item functioning (DIF) between the two groups of different fall experience in the past year (item 1 and item 3). In conclusion, nursing assistant could adopt MFS to evaluate fall risk of older adults with cognitive impairment, but the risk grades are still not precise enough. In the future, MFS should be explored and refined further.

Clinical value of precise rehabilitation nursing in management of cerebral infarction

BACKGROUND

Cerebral infarction, previously referred to as cerebral infarction or ischemic stroke, refers to the localized brain tissue experiencing ischemic necrosis or softening due to disorders in brain blood supply, ischemia, and hypoxia. The precision rehabilitation nursing model for chronic disease management is a continuous, fixed, orderly, and efficient nursing model aimed at standardizing the clinical nursing process, reducing the wastage of medical resources, and improving the quality of medical services.

AIM

To analyze the value of a precise rehabilitation nursing model for chronic disease management in patients with cerebral infarction.

METHODS

Patients (n = 124) admitted to our hospital with cerebral infarction between November 2019 and November 2021 were enrolled as the study subjects. The random number table method was used to divide them into a conventional nursing intervention group (n = 61) and a model nursing intervention group (n = 63). Changes in the nursing index for the two groups were compared after conventional nursing intervention and precise rehabilitation intervention nursing for chronic disease management.

RESULTS

Compared with the conventional intervention group, the model intervention group had a shorter time to clinical symptom relief (P < 0.05), lower Hamilton Anxiety Scale and Hamilton Depression Scale scores, a lower incidence of total complications (P < 0.05), a higher disease knowledge mastery rate, higher safety and quality, and a higher overall nursing satisfaction rate (P < 0.05).

CONCLUSION

The precision rehabilitation nursing model for chronic disease management improves the clinical symptoms of patients with cerebral infarction, reducing the incidence of total complications and improving the clinical outcome of patients, and is worthy of application in clinical practice.

Toward Quantitative Neurology: Sensors to Assess Motor Deficits in Dementia

Background

Alzheimer's disease (AD) is the most common neurodegenerative disorder which primarily involves memory and cognitive functions. It is increasingly recognized that motor involvement is also a common and significant aspect of AD, contributing to functional decline and profoundly impacting quality of life. Motor impairment, either at early or later stages of cognitive disorders, can be considered as a proxy measure of cognitive impairment, and technological devices can provide objective measures for both diagnosis and prognosis purposes. However, compared to other neurodegenerative disorders, the use of technological tools in neurocognitive disorders, including AD, is still in its infancy.

Objective

This report aims to evaluate the role of technological devices in assessing motor involvement across the AD spectrum and in other dementing conditions, providing an overview of the existing devices that show promise in this area and exploring their clinical applications.

Methods

The evaluation involves a review of the existing literature in the PubMed, Web of Science, Scopus, and Cochrane databases on the effectiveness of these technologies. 21 studies were identified and categorized as: wearable inertial sensors/IMU, console/kinect, gait analysis, tapping device, tablet/mobile, and computer.

Results

We found several parameters, such as speed and stride length, that appear promising for detecting abnormal motor function in MCI or dementia. In addition, some studies have found correlations between these motor aspects and cognitive state.

Conclusions

Clinical application of technological tools to assess motor function in people with cognitive impairments of a neurodegenerative nature, such as AD, may improve early detection and stratification of patients.

Relationship between muscle mass and muscle strength with physical performance in older adults: A systematic review

Background

Declining muscle mass is not always accompanied by declining muscle strength in older adults, challenging the notion that low muscle mass is the sole criterion for diagnosing sarcopenia.

Objective

This review aims to find out the relationships between muscle mass and muscle strength with physical performance in older adults.

Design

This article was a systematic review using Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines.

Data Sources and Methods

We do a systematic search of observational studies that are published between 2013 and August 2023 in PubMed, ScienceDirect, Sage journal, Tripdatabase, Cochrane Library, Embase, and CINAHL. Two reviewers selected and extracted data independently and an association measure was recorded from included studies.

Results

The review analyzed 17 observational studies conducted between 2013 and September 2023. The findings suggest that while declining muscle mass is often associated with sarcopenia, it may not always correspond to declining muscle strength in older individuals. The most common method used to measure muscle mass was bioelectrical impedance analysis, while handgrip strength was the predominant measure of muscle strength. Tests such as timed up and go and gait speed were used to assess physical performance.

Conclusions

Physical performance in older adults is significantly related to muscle strength, whereas the relationship between muscle mass and physical performance is either weak or negligible. Therefore, when evaluating physical performance in older individuals, focusing on muscle strength is more important than muscle mass alone.

Spatiotemporal gait parameter fluctuations in older adults affected by mild cognitive impairment: comparisons among three cognitive dual-task tests

BACKGROUNDS

Gait disorder is associated with cognitive functional impairment, and this disturbance is more pronouncedly when performing additional cognitive tasks. Our study aimed to characterize gait disorders in mild cognitive impairment (MCI) under three dual tasks and determine the association between gait performance and cognitive function.

METHODS

A total of 260 participants were enrolled in this cross-sectional study and divided into MCI and cognitively normal control. Spatiotemporal and kinematic gait parameters (31 items) in single task and three dual tasks (serial 100-7, naming animals and words recall) were measured using a wearable sensor. Baseline characteristics of the two groups were balanced using propensity score matching. Important gait features were filtered using random forest method and LASSO regression and further described using logistic analysis.

RESULTS

After matching, 106 participants with MCI and 106 normal controls were recruited. Top 5 gait features in random forest and 4 ~ 6 important features in LASSO regression were selected. Robust variables associating with cognitive function were temporal gait parameters. Participants with MCI exhibited decreased swing time and terminal swing, increased mid stance and variability of stride length compared with normal control. Subjects walked slower when performing an extra dual cognitive task. In the three dual tasks, words recall test exhibited more pronounced impact on gait regularity, velocity, and dual task cost than the other two cognitive tests.

CONCLUSION

Gait assessment under dual task conditions, particularly in words recall test, using portable sensors could be useful as a complementary strategy for early detection of MCI.

Effects of Dementia on Outcomes after Cervical Spine Injuries in Elderly Patients: Evaluation of 1512 Cases in a Nationwide Multicenter Study in Japan

We aimed to retrospectively investigate the demographic characteristics and short-term outcomes of traumatic cervical spine injuries in patients with dementia. We enrolled 1512 patients aged ≥ 65 years with traumatic cervical injuries registered in a multicenter study database. Patients were divided into two groups according to the presence of dementia, and 95 patients (6.3%) had dementia. Univariate analysis revealed that the dementia group comprised patients who were older and predominantly female and had lower body mass index, higher modified 5-item frailty index (mFI-5), lower pre-injury activities of daily living (ADLs), and a larger number of comorbidities than patients without dementia. Furthermore, 61 patient pairs were selected through propensity score matching with adjustments for age, sex, pre-injury ADLs, American Spinal Injury Association Impairment Scale score at the time of injury, and the administration of surgical treatment. In the univariate analysis of the matched groups, patients with dementia had significantly lower ADLs at 6 months and a higher incidence of dysphagia up to 6 months than patients without dementia. Kaplan-Meier analysis revealed that patients with dementia had a higher mortality than those without dementia until the last follow-up. Dementia was associated with poor ADLs and higher mortality rates after traumatic cervical spine injuries in elderly patients.

Capturing Measures That Matter: The Potential Value of Digital Measures of Physical Behavior for Alzheimer's Disease Drug Development

Alzheimer's disease (AD) is a devastating neurodegenerative disease and the primary cause of dementia worldwide. Despite the magnitude of AD's impact on patients, caregivers, and society, nearly all AD clinical trials fail. A potential contributor to this high rate of failure is that established clinical outcome assessments fail to capture subtle clinical changes, entail high burden for patients and their caregivers, and ineffectively address the aspects of health deemed important by patients and their caregivers. AD progression is associated with widespread changes in physical behavior that have impacts on the ability to function independently, which is a meaningful aspect of health for patients with AD and important for diagnosis. However, established assessments of functional independence remain underutilized in AD clinical trials and are limited by subjective biases and ceiling effects. Digital measures of real-world physical behavior assessed passively, continuously, and remotely using digital health technologies have the potential to address some of these limitations and to capture aspects of functional independence in patients with AD. In particular, measures of real-world gait, physical activity, and life-space mobility captured with wearable sensors may offer value. Additional research is needed to understand the validity, feasibility, and acceptability of these measures in AD clinical research.

Alterations in Corticocortical Vestibular Network Functional Connectivity Are Associated with Decreased Balance Ability in Elderly Individuals with Mild Cognitive Impairment

The corticocortical vestibular network (CVN) plays an important role in maintaining balance and stability. In order to clarify the specific relationship between the CVN and the balance ability of patients with mild cognitive impairment (MCI), we recruited 30 MCI patients in the community. According to age and sex, they were 1:1 matched to 30 older adults with normal cognitive function. We evaluated balance ability and performed MRI scanning in the two groups of participants. We analyzed functional connectivity within the CVN based on the region of interest. Then, we performed a Pearson correlation analysis between the functional connection and the Berg Balance Scale scores. The research results show that compared with the control group, there were three pairs of functional connections (hMST_R−Premotor_R, PFcm_R−SMA_L, and hMST_L−VIP_R) that were significantly decreased in the CVNs of the MCI group (p < 0.05). Further correlation analysis showed that there was a significant positive correlation between hMST_R−Premotor_R functional connectivity and BBS score (r = 0.364, p = 0.004). The decline in balance ability and increase in fall risk in patients with MCI may be closely related to the change in the internal connection mode of the corticocortical vestibular network.

Quantitative gait analysis in mild cognitive impairment, dementia, and cognitively intact individuals: a cross-sectional case-control study

Background

Cognitive age-related decline is linked to dementia development and gait has been proposed to measure the change in brain function. This study aimed to investigate if spatiotemporal gait variables could be used to differentiate between the three cognitive status groups.

Methods

Ninety-three older adults were screened and classified into three groups; mild cognitive impairment (MCI) (n = 32), dementia (n = 31), and a cognitively intact (n = 30). Spatiotemporal gait variables were assessed under single- and dual-tasks using an objective platform system. Effects of cognitive status and walking task were analyzed using a two-way ANCOVA. Sub-comparisons for between- and within-group were performed by one-way ANCOVA and Paired t-tests. Area Under the Curve (AUC) of Receiver Operating Characteristics (ROC) was used to discriminate between three groups on gait variables.

Results

There were significant effects (P < 0.05) of cognitive status during both single and dual-task walking in several variables between the MCI and dementia and between dementia and cognitively intact groups, while no difference was seen between the MCI and cognitively intact groups. A large differentiation effect between the groups was found for step length, stride length, and gait speed during both conditions of walking.

Conclusions

Spatiotemporal gait variables showed discriminative ability between dementia and cognitively intact groups in both single and dual-tasks. This suggests that gait could potentially be used as a clinical differentiation marker for individuals with cognitive problems.

Associations of fall history and fear of falling with multidimensional cognitive function in independent community-dwelling older adults: findings from ORANGE study

BACKGROUND

Falls and fear of falling (FoF) inhibit healthy longevity and have been suggested to be associated with cognitive function. However, the domains of cognitive function that are associated with them remain controversial. It is speculated that clarifying this will help in the assessment of health status and interventions in the community.

AIM

To analyse the associations between fall history and FoF and multidimensional cognitive function in independent community-dwelling older adults.

METHODS

The data from 9759 (73.3 ± 5.4 years, 59.9% women) older individuals enrolled in the cross-sectional ORANGE study were analysed. Simple questions were used to assess fall history in the past year and current FoF. Assessments of multidimensional cognitive function were performed using the National Center for Geriatrics and Gerontology-Functional Assessment Tool (NCGG-FAT) to evaluate memory, attention, executive function, and processing speed. The independent associations of fall history and FoF with multidimensional cognitive function were assessed using multivariate linear regressions adjusted for potential confounding variables.

RESULTS

A total of 18.3% and 35.4% of participants presented with fall history and FoF, respectively. Fall history (p = 0.008) and FoF (p = 0.002) were significantly associated with memory. FoF, but not fall history was associated with attention (p = 0.004), executive function (p < 0.01), and processing speed (p < 0.01).

CONCLUSION

In independent community-dwelling older adults, fall history was associated only with the memory domain; in contrast, fear of falling was associated with multidimensional cognitive function. This study provides weak evidence suggesting the need to assess falls and FoF in all situations involving independent community-dwelling older adults.

Validation of PARADISE 24 and Development of PARADISE-EDEN 36 in Patients with Dementia

Dementia was one of the conditions focused on in an EU (European Union) project called “PARADISE” (Psychosocial fActors Relevant to brAin DISorders in Europe) that later produced a measure called PARADISE 24, developed within the biopsychosocial model proposed in the International Classification of Functioning Disability and Health (ICF). The aims of this study are to validate PARADISE 24 on a wider sample of patients with mild to moderate dementia to expand PARADISE 24 by defining a more specific scale for dementia, by adding 18 questions specifically selected for dementia, which eventually should be reduced to 12. We enrolled 123 persons with dementia, recruited between July 2017 and July 2019 in home care and long-term care facilities, in Italy, and 80 participants were recruited in Warsaw between January and July 2012 as part of a previous cross-sectional study. The interviews with the patient and/or family were conducted by health professionals alone or as a team by using the Paradise data collection protocol. The psychometric analysis with the Rasch analysis has shown that PARADISE 24 and the selection of 18 additional condition-specific items can be expected to have good measurement properties to assess the functional state in persons with dementia.

Factors Influencing the Development of Mild Cognitive Impairment in Community-Dwelling People Aged 75 Years and Older

In Asia, including Japan, dementia incidence peaks in older adults over ≥75 years; it is therefore important to detect mild cognitive impairment (MCI), and prevent its onset in this age group. Our study hypothesized that physical and psychological status would be associated with MCI incidence among community-dwelling people aged 75 years and older. The study population comprised 291 such individuals. Participants with a Mini-Mental State Examination score of 28 or more were considered non-MCI, and those with a score of less than 28 and greater than 24 were considered to have MCI. Several other measures were also evaluated, including information about their current medical visits due to diseases, depressive symptom severity, various physical functions (trunk function, 30 s chair-stand test, one-legged stance test, timed up and go test time, 5 m walking time, grip strength, knee-extension strength, and toe-grip strength), and body composition (body fat and skeletal muscle mass). Participants suspected of having MCI had significantly shorter educational histories, higher rates of medical visits due to hypertension, and poorer balance abilities. The results suggest that these indices can be considered screening indicators for detecting MCI in people aged 75 years and older, which may be useful for planning intervention programs for this population.

Association Between Physical Performance and Cognitive Function in Chinese Community-Dwelling Older Adults: Serial Mediation of Malnutrition and Depression

Purpose

We aimed to propose a serial mediational model to further analyze the relationship between poor physical performance, malnutrition, depression and cognitive impairment in Chinese community-dwelling older adults.

Patients and Methods

This study consisted of 1386 community-dwelling Chinese older adults aged 65 years and older in Shanghai, China. Mild cognitive impairment (MCI) was assessed by the Mini-Mental State Examination (MMSE) and Instrumental Activities Of Daily Living (IADL). Physical performance was assessed by short physical performance battery (SPPB). Malnutrition was defined with the Mini Nutritional Assessment (MNA). Depressive symptoms were evaluated by the 30-item Geriatric Depression Scale (GDS). Serial multiple mediator models were used.

Results

The mean age of the final analysis sample was 73.62±6.14, and 57.6% (n=809) were females. The prevalence of MCI was 14.35% (n=199). Physical performance (p<0.001), nutritional status (p=0.025), and depressive symptoms (p=0.002) were correlated with MCI. The serial mediational model revealed that MNA and GDS scores significantly mediated association of SPPB and MMSE scores (c'=0.4728, p<0.001). Furthermore, depressive symptoms significantly mediated the association of physical performance and cognition (p=0.0311), while malnutrition had no independent mediating effect between these two factors (p=0.794).

Conclusion

Our study examined the serial multiple mediation roles of nutritional status and depressive symptoms on the relationship between physical performance and cognitive function in community-dwelling Chinese older adults. Older adults who were in poor physical condition tend to have worse nutritional status, more severe depression, and poorer cognitive function.