Trial reportScientific reports2025
Enhancing cognitive and physical performance in older adults through wearable sensor-based interactive cognitive-motor training: a randomized clinical trial.
Trial report in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of exercise based on wearable electronic devices on lower limb strength and balance in older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- A pilot randomized controlled trial of the effects of dietary nitrate supplementation on dynamic cerebral autoregulation in older adults with metabolic syndrome.Physiological reports · 2026Trial
- HomeCoRe for telerehabilitation in mild or major neurocognitive disorders: a non-inferiority randomized controlled trial.GeroScience · 2026Trial
- Community-based interventions for cognitive health in older adults: a scoping review.BMC geriatrics · 2026Article
- IoT-Based Intervention and Home Support to Address Frailty-Related Vulnerability and Well-Being in Older Adults Living in Rural Areas.Sensors (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Cognitive decline in older adults, often manifested as reduced processing speed and memory, represents a significant challenge to daily functioning and overall quality of life (QoL). Physical inactivity compounds these issues, whereas increased physical activity can lead to healthier cognitive aging. This study examines the impact of wearable sensor-based interactive cognitive-motor training (ICMT) on cognitive and physical performance in older adults. In a single-blind, randomized, parallel-group trial, 36 community-dwelling older adults aged 65 and older were divided into an ICMT and a cognitive training (CT) group. For six weeks, the ICMT group participated in cognitive training using the developed equipment, while the CT group participated in cognitive training using a seated tablet. The ICMT group demonstrated a significant improvement in cognitive function, increasing 1.94 ± 2.98 score (8.60% increase, p < 0.05), and enhanced balance and strength (p < 0.05). Hemodynamic responses of the prefrontal cortex showed a decreasing trend between groups. The ICMT group also demonstrated improved endurance in the 6-minute walk test, covering 18.00 ± 31.0 m more (4.65% farther) than the CT group (p < 0.05). These findings suggest that wearable sensor-based ICMT may offer a practical and effective method to improve cognitive and physical function in older adults, enhancing daily living activities and QoL. Moreover, the wearable sensor-based ICMT offers ease of use, portability, and the ability to conduct training in various settings without requiring specialized facilities, making it a promising method for older adults.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.