A Scoping Review of Principles of Multisensory Exercise Training Interventions in Older Adults Emphasizing Balance and Fall Incidence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Multisensory exercises target visual, vestibular, and somatosensory systems to improve balance and mobility, thus reducing fall risk in older adults. Unlike traditional exercise interventions focusing on physical strength or motor skills, multisensory exercises challenge sensory inputs to enhance adaptability and stability. Despite their potential benefits, the role of sensory training in balance improvement and fall prevention has not been extensively explored. This scoping review aimed to examine and summarize multisensory exercise interventions' content, delivery, and outcomes in older adults without specific health diagnoses. METHODS: A scoping review was conducted following Arksey and O'Malley's framework, encompassing stages such as identifying the research question, identifying relevant studies, study selection, charting the data, and synthesizing, summarizing, and reporting the results. Cochrane Library, Medline, PEDro, EMBASE, ProQuest, and Google Scholar were systematically searched using key terms such as "older adults," "multisensory," "balance," "exercise," and "fall." Studies were included if they evaluated the impact of multisensory exercises on balance and fall incidence in older adults without specific health diagnoses. The TIDieR checklist guided data extraction to ensure comprehensive reporting and analysis of intervention protocols. RESULTS AND DISCUSSION: A total of 21 articles met the inclusion criteria, including 15 randomized controlled trials and 6 pre-post design studies without control groups. The total number of enrolled older adults was 1,018, 65% of whom were women. The review identified 4 principal categories of sensory interventions targeting visual, vestibular, proprioceptive modalities, and their combinations. Walking with sensory stimulation was the most common exercise intervention, featured in almost 60% of the studies. The Berg Balance Scale was the most frequently employed outcome measure, used in 42% of studies. However, the studies demonstrated considerable diversity in objectives, reporting, and intervention designs, including variations in exercise duration, frequency, intensity, and the specific sensory challenges applied. Additionally, inconsistencies were observed in the selection of outcome measures, with limited standardization across studies, making comparisons challenging. CONCLUSION: Although multisensory interventions are widely used to improve balance, empirical evidence is limited by inconsistencies in study design, intervention delivery, and reporting. Greater theoretical clarity, operational definitions, intervention mapping, and codesign techniques are necessary to enhance the quality and impact of future research in clinical practice.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it