Evidence map›Paper›PMID 30863042›Full record

Observational studyInternational journal of chronic obstructive pulmonary disease

24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics.

Mark W Orme, Michael C Steiner, Mike D Morgan, Andrew P Kingsnorth, Dale W Esliger, Sally J Singh, Lauren B Sherar

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
2.4field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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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 2 institutions in 1 country.

Mark W OrmeCentre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre - Respiratory, Leicester, UK, mark.orme@uhl-tr.nhs.uk.
Michael C SteinerCentre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre - Respiratory, Leicester, UK, mark.orme@uhl-tr.nhs.uk.
Mike D MorganCentre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre - Respiratory, Leicester, UK, mark.orme@uhl-tr.nhs.uk.
Andrew P KingsnorthSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK, mark.orme@uhl-tr.nhs.uk.
Dale W EsligerSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK, mark.orme@uhl-tr.nhs.uk.
Sally J SinghCentre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre - Respiratory, Leicester, UK, mark.orme@uhl-tr.nhs.uk.
Lauren B SherarSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK, mark.orme@uhl-tr.nhs.uk.
Loughborough University · GBNIHR Leicester Biomedical Research Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe constructs and interdependency of physical behaviors are not well described and the complexity of physical activity (PA) data analysis remains unexplored in COPD. This study examined the interrelationships of 24-hour physical behaviors and investigated their associations with participant characteristics for individuals with mild-moderate airflow obstruction and healthy control subjects. PATIENTS AND

methodsVigorous PA (VPA), moderate-to-vigorous PA (MVPA), light PA (LPA), stationary time (ST), average movement intensity (vector magnitude counts per minute), and sleep duration for 109 individuals with COPD and 135 healthy controls were obtained by wrist-worn accelerometry. Principal components analysis (PCA) examined interrelationships of physical behaviors to identify distinct behavioral constructs. Using the PCA component loadings, linear regressions examined associations with participant (+, positive correlation; -, negative correlation), and were compared between COPD and healthy control groups.

resultsFor both groups PCA revealed ST, LPA, and average movement intensity as distinct behavioral constructs to MVPA and VPA, labeled "low-intensity movement" and "high-intensity movement," respectively. Sleep was also found to be its own distinct behavioral construct. Results from linear regressions supported the identification of distinct behavioral constructs from PCA. In COPD, low-intensity movement was associated with limitations with mobility (-), daily activities (-), health status (+), and body mass index (BMI) (-) independent of high-intensity movement and sleep. High-intensity movement was associated with age (-) and self-care limitations (-) independent of low-intensity movement and sleep. Sleep was associated with gender (0= female, 1= male; [-]), lung function (-), and percentage body fat (+) independent of low-intensity and high-intensity movement.

conclusionDistinct behavioral constructs comprising the 24-hour day were identified as "low-intensity movement," "high-intensity movement," and "sleep" with each construct independently associated with different participant characteristics. Future research should determine whether modifying these behaviors improves health outcomes in COPD.

Indexed as

Activity CyclesExerciseFitness TrackersSedentary BehaviorSleepActigraphyAdultAgedCase-Control StudiesCross-Sectional StudiesFemaleHealth BehaviorHumansLungMaleMiddle AgedaccelerometryCOPDphysical activityprincipal components analysissedentary behavior

Identifiers

PMID30863042
PMCPMC6388788
OpenAlexW2913557376

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.