ArticleNPJ digital medicine2020
Age and environment-related differences in gait in healthy adults using wearables.
Article in NPJ digital medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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
36 citing papers in PubMed.
- Longitudinal associations between physical activity and preferred walking speed in community-dwelling older adults: a 4-year follow-up study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026Article
- Real-Time Foot Height Estimation and Activity Classification Using a Foot-Mounted IMU Implemented on a Smartphone.Sensors (Basel, Switzerland) · 2026Article
- Leveraging Digital Health Technologies to Assess Older Adults' Frailty and Nutritional Status: Two Cross-Sectional Studies.JMIR aging · 2026Observational
- An open-source, externally validated neural network algorithm to recognize daily-life gait of older adults based on a lower-back sensor.Medical & biological engineering & computing · 2026Article
- Multimodal gait dataset with floor accelerations, inertial sensor data, and synchronized video from controlled walking trials.Data in brief · 2026Article
- Single-task, dual-task, and community gait speeds of older adults in Singapore: their associations with frailty, cognition, and age-friendly cities.Innovation in aging · 2026Article
- Lumbar Acceleration Gait Estimation: "Step-by-Step" Algorithm Updates and Improvements.Journal of medical Internet research · 2025Article
- Insights on Clinical Development of Cell and Gene Therapy for Rare Diseases-by DahShu Innovative Design Scientific Working Group (IDSWG).Therapeutic innovation & regulatory science · 2025Review
- Relationships between hand grip strength and gait parameters measured using a foot-mounted sensor in non-laboratory settings in older women.Scientific reports · 2025Article
- Objective monitoring of motor symptom severity and their progression in Parkinson's disease using a digital gait device.Scientific reports · 2025Article
- Improved functional assessment in cancer patients using home-based digital technologies.Scientific reports · 2025Article
- Quantifying arm swing in Parkinson's disease: a method accounting for arm activities during free-living gait.Journal of neuroengineering and rehabilitation · 2025Article
- Normative Database of Spatiotemporal Gait Metrics Across Age Groups: An Observational Case-Control Study.Sensors (Basel, Switzerland) · 2025Observational
- Health & Gait: a dataset for gait-based analysis.Scientific data · 2025Article
- NiMBaLWear analytics pipeline for wearable sensors: a modular, open-source platform for evaluating multiple domains of health and behaviour.BMC digital health · 2024Article
- Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study.JMIR formative research · 2024Article
- Assessment of Wearable Device Adherence for Monitoring Physical Activity in Older Adults: Pilot Cohort Study.JMIR aging · 2024Article
- In-Clinic and Natural Gait Observations master protocol (I-CAN-GO) to validate gait using a lumbar accelerometer.Scientific reports · 2024Article
- Absolute and Relative Reliability of Spatiotemporal Gait Characteristics Extracted from an Inertial Measurement Unit among Senior Adults Using a Passive Hip Exoskeleton: A Test-Retest Study.Sensors (Basel, Switzerland) · 2024Article
- Daily-Life Walking Speed, Quality and Quantity Derived from a Wrist Motion Sensor: Large-Scale Normative Data for Middle-Aged and Older Adults.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Technological advances in multimodal wearable and connected devices have enabled the measurement of human movement and physiology in naturalistic settings. The ability to collect continuous activity monitoring data with digital devices in real-world environments has opened unprecedented opportunity to establish clinical digital phenotypes across diseases. Many traditional assessments of physical function utilized in clinical trials are limited because they are episodic, therefore, cannot capture the day-to-day temporal fluctuations and longitudinal changes in activity that individuals experience. In order to understand the sensitivity of gait speed as a potential endpoint for clinical trials, we investigated the use of digital devices during traditional clinical assessments and in real-world environments in a group of healthy younger (
Indexed as
Identifiers
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.