ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022
Is Wrist Accelerometry Suitable for Threshold Scoring? A Comparison of Hip-Worn and Wrist-Worn ActiGraph Data in Low-Active Older Adults With Obesity.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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
14 citing papers in PubMed.
- A Smartphone App (WExercise) to Promote Physical Activity Among Cancer Survivors: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- 24-Hour time use and cognitive performance in late adulthood: results from the Investigating Gains in Neurocognition in an Intervention Trial of Exercise (IGNITE) study.Age and ageing · 2025Trial
- The effects of a real-life lifestyle program on physical activity and objective and subjective sleep in adults aged 55+ years.BMC public health · 2022Trial
- Beyond "Move More": Combined Physical Activity and Sedentary Behavior Assessment in Individuals with MASLD from Southern Italy.Journal of clinical medicine · 2026Article
- Designing a Gait Recognition Algorithm for Older Adults Using Mobility Aids: Prospective Cohort Study.JMIR formative research · 2025Article
- A Protocol to Self-Familiarize Health Care Professionals with the Detection Limits of a Physical Activity Tracker for Low-Impact Steps in Patients Recovering from Knee Surgery-A Proposal and a First Evaluation.Sensors (Basel, Switzerland) · 2025Article
- Development of Digital Strategies for Reducing Sedentary Behavior in a Hybrid Office Environment: Modified Delphi Study.JMIR human factors · 2025Article
- Physical activity and sedentary behavior in peritoneal dialysis patients: a comparative analysis of ActiGraph GT3X data collected via wrist and waist with placement-specific cut-points.BMC nephrology · 2025Article
- Accelerometer-based and self-reported physical activity and sedentary time and their relationships with the P300 in a Go/No-Go task in older adults.Brain and cognition · 2024Article
- Associations Between Patterns of Daily Stepping Behavior, Health-Related Quality of Life, and Pain Symptoms Among Older Adults with Chronic Pain: A Secondary Analysis of Two Randomized Controlled Trials.Clinical interventions in aging · 2024Article
- Shared and distinct factors underlying in-hospital mobility of older adults in Israel and Denmark (97/100).BMC geriatrics · 2023Article
- Associations between patterns of physical activity, pain intensity, and interference among older adults with chronic pain: a secondary analysis of two randomized controlled trials.Frontiers in aging · 2023Article
- Daily Physical Activity Patterns as a Window on Cognitive Diagnosis in the Baltimore Longitudinal Study of Aging (BLSA).Journal of Alzheimer's disease : JAD · 2022Article
- Machine Learning-Based Stepping Filter Improves Estimates of Moderate-to-Vigorous-Intensity Physical Activity from Wrist Actigraphy.Digital biomarkersArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundHip- and wrist-worn ActiGraph accelerometers are widely used in research on physical activity as they offer an objective assessment of movement intensity across the day. Herein we characterize and contrast key structured physical activities and common activities of daily living via accelerometry data collected at the hip and wrist from a sample of community-dwelling older adults.
methodsLow-active, older adults with obesity (age 60+ years) were fit with an ActiGraph GT3X+ accelerometer on their nondominant wrist and hip before completing a series of tasks in a randomized order, including sitting/standing, sweeping, folding laundry, stair climbing, ambulation at different intensities, and cycling at different intensities. Participants returned a week later and completed the tasks once again. Vector magnitude counts/second were time-matched during each task and then summarized into counts/minute (CPM).
resultsMonitors at both wear locations similarly characterized standing, sitting, and ambulatory tasks. A key finding was that light home chores (sweeping, folding laundry) produced higher and more variable CPM values than fast walking via wrist ActiGraph. Regression analyses revealed wrist CPM values were poor predictors of hip CPM values, with devices aligning best during fast walking (R2 = 0.25) and stair climbing (R2 = 0.35).
conclusionsAs older adults spend a considerable portion of their day in nonexercise activities of daily living, researchers should be cautious in the use of simply acceleration thresholds for scoring wrist-worn accelerometer data. Methods for better classifying wrist-worn activity monitor data in older adults are needed.
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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 Socratic graph.