Evidence map›Paper›PMID 26312077›Full record

ArticleThe open biomedical engineering journal2015

Accelerometer-based Physical Activity Monitoring in Patients with Knee Osteoarthritis: Objective and Ambulatory Assessment of Actual Physical Activity During Daily Life Circumstances.

L Verlaan, S A A N Bolink, S N Van Laarhoven, M Lipperts, I C Heyligers, B Grimm, R Senden

Open access · diamondAbstract read
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Article in The open biomedical engineering journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% of its field
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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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  15. Self-Report Measures of Physical Activity.Arthritis care & research · 2020
    Review
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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

7 authors at 1 institution in 1 country.

L VerlaanAHORSE Foundation, Department of Orthopaedics, Atrium Medical Center Heerlen, The Netherlands.
S A A N BolinkAHORSE Foundation, Department of Orthopaedics, Atrium Medical Center Heerlen, The Netherlands.
S N Van LaarhovenAHORSE Foundation, Department of Orthopaedics, Atrium Medical Center Heerlen, The Netherlands.
M LippertsAHORSE Foundation, Department of Orthopaedics, Atrium Medical Center Heerlen, The Netherlands.
I C HeyligersAHORSE Foundation, Department of Orthopaedics, Atrium Medical Center Heerlen, The Netherlands.
B GrimmAHORSE Foundation, Department of Orthopaedics, Atrium Medical Center Heerlen, The Netherlands.
R SendenAHORSE Foundation, Department of Orthopaedics, Atrium Medical Center Heerlen, The Netherlands.
Atrium Medisch Centrum Parkstad · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is important to assess physical activity objectively during daily life circumstances, to understand the association between physical activity and diseases and to determine the effectiveness of interventions. Accelerometer-based physical activity monitoring seems a promising method and could potentially capture all four FITT (i.e. Frequency, Intensity, Time, Type) components of physical activity considered by the World Health Organization (WHO).

aimTo assess the four FITT components of physical activity with an accelerometer during daily life circumstances and compare with self-reported levels of physical activity in patients with knee osteoarthritis (OA) and a healthy control group.

methodsPatients (n=30) with end-stage knee OA and age-matched healthy subjects (n=30) were measured. An ambulant tri-axial accelerometer was placed onto the lateral side of the upper leg. Physical activity was measured during four consecutive days. Using algorithm-based peak detection methods in Matlab, parameters covering the four FITT components were assessed. Self-reported physical activity was assessed using the Short questionnaire to assess health enhancing physical activity (SQUASH).

resultsKnee OA patients demonstrated fewer walking bouts (154 ±79 versus 215 ±65 resp.; p=0.002), step counts (4402 ±2960 steps/day versus 6943 ±2581 steps/day; p=0.001) and sit-to-stand (STS) transfers (37 ±14 versus 44 ±12; p=0.031) compared to controls. Knee OA patients demonstrated more time sitting (65 ±15% versus 57 ±10% resp.; p=0.029), less time walking (8 ±4% versus 11 ±4% resp.; p=0.014) and lower walking cadence (87 ±11steps/min versus 99 ± 8steps/min resp.; p<0.001). Accelerometer-based parameters of physical activity were moderately-strong (Pearsons's r= 0.28-0.49) correlated to self-reported SQUASH scores.

conclusionA single ambulant accelerometer-based physical activity monitor feasibly captures the four FITT components of physical activity and provides more insight into the actual physical activity behavior and limitations of knee OA patients in their daily life.

Indexed as

Accelerometeractivity monitorFITTknee osteoarthritisphysical activity

Identifiers

PMID26312077
PMCPMC4541405
OpenAlexW2131775358

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.