Effects of a 16-week multimodal exercise program on activities of daily living in institutionalized individuals with dementia

Physical activity and the outcome of cognitive trajectory: a machine learning approach

BACKGROUND

Physical activity (PA) may have an impact on cognitive function. Machine learning (ML) techniques are increasingly used in dementia research, e.g., for diagnosis and risk stratification. Less is known about the value of ML for predicting cognitive decline in people with dementia (PwD). The aim of this study was to use an ML approach to identify variables associated with a multimodal PA intervention that may impact cognitive changes in PwD, i.e., by distinguishing between cognitive decliners and non-decliners.

METHODS

This is a secondary, exploratory analysis using data from a Randomized Controlled Trial that included a 16-week multimodal PA intervention for the intervention group (IG) and treatment as usual for the control group (CG) in nursing homes. Predictors included in the ML models were related to the intervention (e.g., adherence), physical performance (e.g., mobility, balance), and pertinent health-related variables (e.g., health status, dementia form and severity). Primary outcomes were global and domain-specific cognitive performance (i.e., attention/ executive function, language, visuospatial skills, memory) assessed by standardized tests. A Support Vector Machine model was used to perform the classification of each primary outcome into the two classes of decline and non-decline. GridSearchCV with fivefold cross-validation was used for model training, and area under the ROC curve (AUC) and accuracy were calculated to assess model performance.

RESULTS

The study sample consisted of 319 PwD (IG, N = 161; CG, N = 158). The proportion of PwD experiencing cognitive decline, in the different domains measured, ranged from 27-48% in CG, and from 23-49% in IG, with no statistically significant differences and no time*group effects. ML models showed accuracy and AUC values ranging from 40.6-75.6. The strongest predictors of cognitive decline or non-decline were performance of activities of daily living in IG and CG, and adherence and mobility in IG.

CONCLUSIONS

ML models showed moderate performance, suggesting that the selected variables only had limited value for classification, with adherence and performance of activities of daily living appearing to be predictors of cognitive decline. While the study provides preliminary evidence of the potential use of ML approaches, larger studies are needed to confirm our observations and to include other variables in the prediction of cognitive decline, such as emotional health or biomarker abnormalities.

Effectiveness of physical rehabilitation for physical functioning and quality of life in long-term care residents with dementia: a systematic review and meta-analysis

OBJECTIVE

The objective of this review was to evaluate the effectiveness of physical rehabilitation vs non-rehabilitation comparators for physical functioning and quality of life in long-term care (LTC) residents with dementia.

INTRODUCTION

LTC residents living with dementia often have impaired physical functioning and quality of life. Physical rehabilitation can improve physical functioning and quality of life for individuals living with dementia; however, many LTC residents with dementia do not receive physical rehabilitation and providers are unsure what interventions to employ. A synthesis of studies examining physical rehabilitation will help guide practice in the LTC sector where most residents live with dementia. Previous syntheses have focused on all residents in LTC, specific professions, interventions, or people with dementia in the community. Our review focused on LTC residents with dementia and used a broader definition of physical rehabilitation.

INCLUSION CRITERIA

This review included studies that evaluated physical rehabilitation in comparison with non-rehabilitation controls among LTC residents with any severity of dementia. We included experimental and quasi-experimental studies that measured the effect on activities of daily living, performance-based physical functioning, and self- or proxy-rated quality of life.

METHODS

Searches were conducted in APA PsycINFO (EBSCOhost), CINAHL (EBSCOhost), PubMed (National Library of Medicine), Embase, Scopus, and the Cochrane CENTRAL database with no date or language limitations. Two independent reviewers assessed the studies against the inclusion criteria. Two independent reviewers extracted data and conducted a methodological quality assessment using standardized checklists from JBI. Certainty of evidence was ascertained using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. Where possible, studies were pooled in meta-analyses; otherwise, a narrative synthesis was presented.

RESULTS

Thirty-three studies were included (n=3072 participants); 27 were randomized controlled trials and (RCTs) the remaining 6 were non-randomized trials. The overall risk of bias of the included studies was low to unclear. Many of the included studies focused on increasing activity or walking, while few were individually tailored or at an intensity appropriate to induce therapeutic effects on physical function. Physical function was measured via several outcome measures, limiting our ability to pool results. There was low-certainty evidence that physical rehabilitation improved activities of daily living assessed with multiple instruments (12 RCTs, 1348 participants, standardized mean difference [SMD] 0.78; 95% CI 0.27 to 1.30) and lower extremity function assessed with the Short Physical Performance Battery Score (3 RCTs, 258 participants, mean difference [MD] 3.01 points; 95% CI 1.37 to 4.66), compared with non-rehabilitation interventions. There was very low- to moderate-certainty evidence that physical rehabilitation demonstrated no change in the 30-Second Sit to Stand Test (2 RCTs, 293 participants, MD 0.79 repetitions; 95% CI -0.45 to 2.03), 6-Minute Walk Test (4 RCTs, 363 participants, MD 17.32 meters; 95% CI -29.41 to 64.05), Timed Walk Test (4 RCTs, 400 participants, MD 0.10 meters/seconds; 95% CI -0.02 to 0.22), Timed Up and Go Test (3 RCTs, 275 participants, MD -2.89 seconds; 95% CI -6.62 to 0.84), or quality of life (4 RCTs, 419 participants, SMD 0.20; 95% CI -0.08 to 0.47).

CONCLUSIONS

This review demonstrates that physical rehabilitation may improve activities of daily living for LTC residents living with dementia, although the evidence is of low certainty. The effect of physical rehabilitation on specific functional tasks, such as gait speed and quality of life, are less clear. Future research should examine the effects of individualized, progressive interventions on outcome measures that reflect the capacity and preferences of LTC residents with more advanced dementia.

REVIEW REGISTRATION

PROSPERO CRD42022308444.

A Tablet-Based App to Support Nursing Home Staff in Delivering an Individualized Cognitive and Physical Exercise Program for Individuals With Dementia: Mixed Methods Usability Study

BACKGROUND

The promotion of physical activity in individuals with dementia living in nursing homes is crucial for preserving physical and cognitive functions and the associated quality of life. Nevertheless, the implementation of physical activity programs in this setting is challenging, as the time and expertise of nursing home staff are limited. This situation was further exacerbated by the COVID-19 pandemic. Mobile health apps may be a sustainable approach to overcome these challenges in the long term. Therefore, the Individualized Cognitive and Physical Exercise-App (the InCoPE-App) was developed to support nursing home staff in delivering and implementing tailored cognitive and physical exercise training for individuals with dementia.

OBJECTIVE

This study aims to assess the usability of the InCoPE-App in terms of user performance and user perception in a laboratory setting using a mixed methods approach.

METHODS

Nursing home staff were encouraged to perform 5 basic tasks within the InCoPE-App. Their thoughts while using the app were captured by implementing a think aloud protocol. Then, participants completed the System Usability Scale questionnaire. The think aloud transcripts were qualitatively evaluated to unveil usability issues. All identified issues were rated in terms of their necessity to be fixed. Task completion (ie, success rate and time) and perceived usability were evaluated descriptively.

RESULTS

A total of 14 nursing home employees (mean age 53.7, SD 10.6 years; n=13, 93% women) participated in the study. The perceived usability of the InCoPE-App, as assessed by the System Usability Scale questionnaire, can be rated as "good." The main usability issues concerned navigation logic and comprehensibility of app content.

CONCLUSIONS

The InCoPE-App is a user-friendly app that enables nursing home staff to deliver and implement cognitive and physical exercise training for individuals with dementia in nursing homes. The InCoPE-App can be used with little training, even by people aged ≥50 years, who may have low digital literacy. To achieve sustainable use and high user satisfaction of the InCoPE-App in the long term, it should be implemented and evaluated in a field study.

Changes in Selected Cognitive and Motor Skills as Well as the Quality of Life After a 24-Week Multidimensional Music-Based Exercise Program in People With Dementia

The loss of independence is one of the greatest consequences of dementia. Multidimensional music-based exercise programs could counteract. The present study investigates the effects of such a program on people with dementia and bases on a 24-week intervention with three measurement time points. Sixty-nine people with dementia were randomly assigned to the intervention (n = 43) and control group (n = 26). The following outcome parameters were measured: leg strength, gait, grip strength, balance, reaction time, selected cognitive abilities, and quality of life. A mixed ANOVA with repeated measurement showed significant interaction effects between group and time. After 24-weeks in contrast to the control group the intervention group significantly improved in leg strength (P = .001), balance (P = .001), gait (P = .001), grip strength (right P = .002, left P = .011), reaction time (P = .003), global cognition (P = .039), verbal fluency (P = .002), attention (P = .013) and quality of life (P = .011). In conclusion, the program enhanced selected cognitive and motor skills and quality of life.

Effectiveness and Acceptability of e- and m-Health Interventions to Promote Physical Activity and Prevent Falls in Nursing Homes—A Systematic Review

Age-related decreases in physical activity (PA) and a decline in physical functioning lead to increased fall risk. As falls are a major cause of accidental deaths and hospitalization in older adults, PA promotion and fall prevention are important measures, especially in nursing homes (NH). With advances in information and communication technology, e- and m-health solutions have been developed to positively influence various health-related factors. To date, only little research exists on the implementation of these technologies to promote health in NH. Therefore, the objective of this systematic review was to provide an overview of the effectiveness, acceptability, and feasibility of e- and m-health interventions aimed at promoting PA and preventing falls in NH. Additionally, the effectiveness of such interventions regarding the secondary outcomes physical function, cognitive function, neuropsychiatric symptoms, and psychosocial status was examined. A systematic literature search was performed in five databases and studies published until 15 November 2021, were considered for inclusion. All studies that examined the effectiveness and/or the acceptability and feasibility of e- or m-health interventions in promoting PA and preventing falls in NH, without restriction on language or date of publication, were included in the final synthesis. Of the 1,358 records retrieved, 28 studies were included in this systematic review. Twenty-four studies contained digital exergaming as an intervention or as a part of the intervention, the four additional studies on e-health interventions only examined a small number of outcomes. No m-health intervention study was identified. Data synthesis indicates that exergaming may be effective in reducing the number of falls and fall risk in NH residents. Several significant improvements were also reported regarding secondary outcomes albeit not consistent across studies. No conclusion can be drawn about the effects of exergaming and other e-health interventions on PA, as data is scarce. E-health interventions were mostly reported as feasible and well accepted by NH residents. However, these findings may not be applicable to NH residents with advanced physical and/or cognitive impairments, since they were excluded in many studies. Therefore, more research examining other digital solutions besides exergaming to promote PA in this specific population is critical.

Systematic Review Registration:https://www.crd.york.ac.uk/prospero/, identifier CRD42021289488