Evidence map›Paper›PMID 34791237›Full record

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.

Jason Fanning, Michael E Miller, Shyh-Huei Chen, Carlo Davids, Kyle Kershner, W Jack Rejeski

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jason FanningDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina, USA.ORCID 0000-0002-5527-1698
Michael E MillerDepartment of Biostatistical and Data Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Shyh-Huei ChenDepartment of Biostatistical and Data Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Carlo DavidsDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina, USA.
Kyle KershnerDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina, USA.
W Jack RejeskiDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina, USA.

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI STEPHEN B. KRITCHEVSKY · 2002 to 2026
$36.4M
NIA NIH HHS P30 AG021332NIH HHS P30-AG21332
6 · The paper itself

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.

Indexed as

Activities of Daily LivingWristAccelerometryAgedHipHumansObesityExercisePhysical activityPublic healthWearables

Identifiers

PMID34791237
PMCPMC9923693

What Socratic holds

Textmetadata
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Registered trials

None linked

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.