ArticleJournal of aging and physical activity2023
Wrist-Worn Accelerometry, Aging, and Gait Speed in the Baltimore Longitudinal Study of Aging.
Article in Journal of aging and physical activity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Effects of Hearing Intervention on Physical Activity Measured by Accelerometry: A Secondary Analysis of the ACHIEVE Study.Journal of the American Geriatrics Society · 2025Trial
- 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
- Accelerometry-derived activity fragmentation as a predictor of brain atrophy and disability progression in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Sharing digital health data responsibly: Balancing open science with participant privacy.PLOS digital health · 2026Article
- Article
- Can Gait Characteristics Be Represented by Physical Activity Measured with Wrist-Worn Accelerometers?Sensors (Basel, Switzerland) · 2023Article
- Beyond aggregate volume-Accelerometer-derived activity phenotypes reveal a decoupling of lean mass and function: A cross-sectional study.Science progressArticle
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
Wrist-worn accelerometry metrics are not well defined in older adults. Accelerometry data from 720 participants (mean age 70 years, 55% women) were summarized into (a) total activity counts per day, (b) active minutes per day, (c) active bouts per day, and (d) activity fragmentation (the reciprocal of the mean active bout length). Linear regression and mixed-effects models were utilized to estimate associations between age and gait speed with wrist accelerometry. Activity counts per day, daily active minutes per day, and active bouts per day were negatively associated with age among all participants, while positive associations with activity fragmentation were only observed among those ≥65 years. More activity counts, more daily active minutes, and lower activity fragmentation were associated with faster gait speed. There were baseline age interactions with annual changes in total activity counts per day, active minutes per day, and activity fragmentation (Baseline age × Time, p < .01 for all). These results help define and characterize changes in wrist-based physical activity patterns among older adults.
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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.