Gait, Falls, and Dementia

Changes in the EEG spectral power during dual-task walking with aging and Parkinson's disease: initial findings using Event-Related Spectral Perturbation analysis

BACKGROUND

The ability to maintain adequate motor-cognitive performance under increasing task demands depends on the regulation and coordination of neural resources. Studies have shown that such resources diminish with aging and disease. EEG spectral analysis is a method that has the potential to provide insight into neural alterations affecting motor-cognitive performance. The aim of this study was to assess changes in spectral analysis during dual-task walking in aging and disease METHODS: 10 young adults, ten older adults, and ten patients with Parkinson's disease (PD) completed an auditory oddball task while standing and while walking on a treadmill. Spectral power within four frequency bandwidths, delta (< 4 Hz), theta (4-8 Hz), alpha (8-12 Hz), and beta (12-30 Hz), was calculated using Event-Related Spectral Perturbation (ERSP) analyses and compared between single task and dual task and between groups.

RESULTS

Differences in ERSP were found in all groups between the single and dual-task conditions. In response to dual-task walking, beta increased in all groups (p < 0.026), delta decreased in young adults (p = 0.03) and patients with PD (0.015) while theta increased in young adults (p = 0.028) but decreased in older adults (p = 0.02) and patients with PD (p = 0.015). Differences were seen between the young, the older adults, and the patients with PD.

CONCLUSIONS

These findings are the first to show changes in the power of different frequency bands during dual-task walking with aging and disease. These specific brain modulations may reflect deficits in readiness and allocation of attention that may be responsible for the deficits in dual-task performance.

Neuropsychiatric Symptoms as Predictors of Falls in Long-Term Care Residents With Cognitive Impairment

OBJECTIVES

Falls and neuropsychiatric symptoms (NPS) are common among long-term care residents with cognitive impairment. Despite the high prevalence of falls and NPS, little is known about their association. The aim of our study was to explore how NPS, particularly the severity of NPS and specific NPS subgroups, are associated with falls and how psychotropics modify this association.

DESIGN

Longitudinal cohort study.

SETTING AND PARTICIPANTS

In total, 532 long-term care residents aged 65 years or older in Helsinki, Finland.

METHODS

NPS were measured with Neuropsychiatric Inventory (NPI) at baseline. Participants were grouped into 3 groups: no significant NPS (NPI points 0‒3), low NPS burden (NPI 4‒12), and high NPS burden (NPI >12). The number of falls, injuries, fractures, and hospitalizations were collected from medical records over 12 months following baseline assessment.

RESULTS

Altogether, 606 falls occurred during the follow-up year. The falls led to 121 injuries, 42 hospitalizations, and 20 fractures. Falls and injuries increased significantly with NPS burden (P < .001): 330 falls in the high NPS group (n = 184), 188 falls in the low NPS group (n = 181), and 88 falls in the no significant NPS group (n = 167). The risk of falling showed a curvilinear association with NPI total score. Of NPS subgroups, psychosis and hyperactivity were associated with a higher incidence rate ratio of falls, whereas apathy had a protective association even after adjustment for age, sex, and mobility. Affective symptoms were not associated with falls. Psychotropics did not modify the association between NPS burden and falls.

CONCLUSIONS AND IMPLICATIONS

The results of this study show that NPS, especially NPS severity, may predict falls and fall-related negative consequences. Severity of NPS should be taken into account when assessing fall risk in long-term care residents with cognitive impairment.

Measuring Gait Variables Using Computer Vision to Assess Mobility and Fall Risk in Older Adults With Dementia

Fall risk is high for older adults with dementia. Gait impairment contributes to increased fall risk, and gait changes are common in people with dementia, although the reliable assessment of gait is challenging in this population. This study aimed to develop an automated approach to performing gait assessments based on gait data that is collected frequently and unobtrusively, and analysed using computer vision methods. Recent developments in computer vision have led to the availability of open source human pose estimation algorithms, which automatically estimate the joint locations of a person in an image. In this study, a pre-existing pose estimation model was applied to 1066 walking videos collected of 31 older adults with dementia as they walked naturally in a corridor on a specialized dementia unit over a two week period. Using the tracked pose information, gait features were extracted from video recordings of gait bouts and their association with clinical mobility assessment scores and future falls data was examined. A significant association was found between extracted gait features and a clinical mobility assessment and the number of future falls, providing concurrent and predictive validation of this approach.

Short-Physical Performance Battery (SPPB) score is associated with falls in older outpatients

BACKGROUND

The capacity of Short-Physical Performance Battery (SPPB) test to discriminate between fallers and non-fallers is controversial, and has never been compared with fall risk assessment-specific tools, such as Performance-Oriented Mobility Assessment (POMA).

AIM

To verify the association of SPPB and POMA scores with falls in older outpatients.

METHODS

451 older subjects (150 males, mean age 82.1 ± 6.8) evaluated in a geriatric outpatient clinic for suspected frailty were enrolled in this cross-sectional study. Self-reported history of falls and medication history were carefully assessed. Each participant underwent comprehensive geriatric assessment, including SPPB, POMA, Geriatric Depression Scale (GDS), mini-mental state examination (MMSE) and mini-nutritional assessment-short form (MNA-SF). Multivariate logistic regression and receiver-operating characteristic (ROC) analyses were performed to determine the factors associated with the status of faller.

RESULTS

245 (54.3%) subjects were identified as fallers. They were older and had lower SPPB and POMA test scores than non-fallers. At ROC analysis, SPPB (AUC 0.676, 95% CI 0.627-0.728, p < 0.001) and POMA (AUC 0.677, 95% CI 0.627-0.726, p < 0.001) scores were both associated with falls. At multivariate logistic regression models, SPPB total score (OR 0.83, 95% CI 0.76-0.92, p < 0.001), POMA total score (OR 0.94, 95% CI 0.91-0.98, p = 0.002) and SPPB balance score alteration (OR 2.88, 95% CI 1.42-5.85, p = 0.004), but not POMA balance subscale score alteration, were independently associated with recorded falls, as also GDS, MMSE and MNA-SF scores.

CONCLUSIONS

SPPB total score was independently associated with reported falls in older outpatients, resulting non-inferior to POMA scale. The use of SPPB for fall risk assessment should be implemented.

Gait

Gait is one of the keys to functional independence. For a long-time, walking was considered an automatic process involving minimal higher-level cognitive input. Indeed, walking does not take place without muscles that move the limbs and the "lower-level" control that regulates the timely activation of the muscles. However, a growing body of literature suggests that walking can be viewed as a cognitive process that requires "higher-level" cognitive control, especially during challenging walking conditions that require executive function and attention. Two main locomotor pathways have been identified involving multiple brain areas for the control of posture and gait: the dorsal pathway of cognitive locomotor control and the ventral pathway for emotional locomotor control. These pathways may be distinctly affected in different pathologies that have important implications for rehabilitation and therapy. The clinical assessment of gait should be a focused, simple, and cost-effective process that provides both quantifiable and qualitative information on performance. In the last two decades, gait analysis has gradually shifted from analysis of a few steps in a restricted space to long-term monitoring of gait using body fixed sensors, capturing real-life and routine behavior in the home and community environment. The chapter also describes this evolution and its implications.

Frailty and sarcopenia in elderly

Frailty is a pre-disability syndrome where an older person can be identified as being at risk when exposed to stressors associated with high risk for disability or needing to be hospitalized. Two major frailty definitions exist. The physical phenotype of frailty and the multiple deficit model. A simple frailty screening tool-FRAIL-has been validated. Treatment of frailty involves resistance exercise, optimization of nutrition, and treatment of fatigue (sleep apnea, depression), treatable causes of weight loss and adjustment of polypharmacy. Sarcopenia (decline in function with low muscle mass) is a major cause of frailty. A simple sarcopenia screening tool-SARC-F-has been validated. The multiple causes of sarcopenia are reviewed. Optimal treatment is resistance exercise, leucine-enriched essential amino acids and vitamin D replacement.