Observational studyThe journals of gerontology. Series A, Biological sciences and medical sciences2018
Validation of Gait Characteristics Extracted From Raw Accelerometry During Walking Against Measures of Physical Function, Mobility, Fatigability, and Fitness.
Observational study in The journals of gerontology. Series A, Biological sciences and medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Recommendations for determining the validity of consumer wearable and smartphone step count: expert statement and checklist of the INTERLIVE network.British journal of sports medicine · 2021Guideline
- Real-world walking and activity patterns in community-dwelling older adults: a cross-sectional analysis of baseline data from the SMART-AGE trial.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026Article
- Capacity Versus Performance of Volitional Head Turns After Mild Traumatic Brain Injury.The Journal of head trauma rehabilitation · 2026Article
- Mediating pathways of physical capabilities: linking perceived physical fatigability to motoric cognitive risk syndrome in community older adults.BMC geriatrics · 2026Article
- Assessment of Frailty in Community-Dwelling Older Adults Using Smartphone-Based Digital Lifelogging: A Multi-Center, Prospective Observational Study.Sensors (Basel, Switzerland) · 2025Observational
- Daily-Life Walking Characteristics of Older Adults in Relation to Age, Sex, and Physical Function: the HUNT4 Trondheim 70+ Observational Study.JMIR aging · 2025Observational
- Article
- Extracting actigraphy-based walking features with structured functional principal components.Physiological measurement · 2024Article
- Association of Gait Quality With Daily-Life Mobility: An Actigraphy and Global Positioning System Based Analysis in Older Adults.IEEE transactions on bio-medical engineering · 2024Article
- Uneven surface and cognitive dual-task independently affect gait quality in older adults.Gait & posture · 2023Article
- Free-Living Gait Cadence Measured by Wearable Accelerometer: A Promising Alternative to Traditional Measures of Mobility for Assessing Fall Risk.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Article
- A "one-size-fits-most" walking recognition method for smartphones, smartwatches, and wearable accelerometers.NPJ digital medicine · 2023Article
- Measuring and Understanding the Health Impact of Greater Fatigability in Older Adults: A Call to Action and Opportunities.Fatigue : biomedicine, health & behavior · 2023Article
- Changes in Objectively Measured Physical Activity Are Associated With Perceived Physical and Mental Fatigability in Older Men.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022Article
- Scalar on time-by-distribution regression and its application for modelling associations between daily-living physical activity and cognitive functions in Alzheimer's Disease.Scientific reports · 2022Article
- Modified Application of Cardiac Rehabilitation in Older Adults (MACRO) Trial: Protocol changes in a pragmatic multi-site randomized controlled trial in response to the COVID-19 pandemic.Contemporary clinical trials · 2022Article
- Biomechanics beyond the lab: Remote technology for osteoarthritis patient data-A scoping review.Frontiers in rehabilitation sciences · 2022Article
- Evaluation of the Bidirectional Relations of Perceived Physical Fatigability and Physical Activity on Slower Gait Speed.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021Article
- Variability in Hourly Activity Levels: Statistical Noise or Insight Into Older Adult Frailty?The journals of gerontology. Series A, Biological sciences and medical sciences · 2021Article
- Response to "Comment on: Fatigability: A Prognostic Indicator of Phenotypic Aging".The journals of gerontology. Series A, Biological sciences and medical sciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Background: Data collected by wearable accelerometry devices can be used to identify periods of sustained harmonic walking. This report aims to establish whether the features of walking identified in the laboratory and free-living environments are associated with each other as well as measures of physical function, mobility, fatigability, and fitness. Methods: Fifty-one older adults (mean age 78.31) enrolled in the Developmental Epidemiologic Cohort Study were included in the analyses. The study included an "in-the-lab" component as well as 7 days of monitoring "in-the-wild" (free living). Participants were equipped with hip-worn Actigraph GT3X+ activity monitors, which collect raw accelerometry data. We applied a walking identification algorithm and defined features of walking, including participant-specific walking acceleration and cadence. The association between these walking features and physical function, mobility, fatigability, and fitness was quantified using linear regression analysis. Results: Acceleration and cadence estimated from "in-the-lab" and "in-the-wild" data were significantly associated with each other (p < .05). However, walking acceleration "in-the-lab" was on average 96% higher than "in-the-wild," whereas cadence "in-the-lab" was on average 20% higher than "in-the-wild." Acceleration and cadence were associated with measures of physical function, mobility, fatigability, and fitness (p < .05) in both "in-the-lab" and "in-the-wild" settings. In addition, "in-the-wild" daily walking time was associated with fitness (p < .05). Conclusions: The quantitative difference in proposed walking features indicates that participants may overperform when observed "in-the-lab." Also, proposed features of walking were significantly associated with measures of physical function, mobility, fatigability, and fitness, which provides evidence of convergent validity.
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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.