Evidence map›Paper›PMID 24376804›Full record

ArticlePloS one2013

Moderate intense physical activity depends on selected Metabolic Equivalent of Task (MET) cut-off and type of data analysis.

Hans van Remoortel, Carlos Augusto Camillo, Daniel Langer, Miek Hornikx, Heleen Demeyer, Chris Burtin, Marc Decramer, Rik Gosselink, Wim Janssens, Thierry Troosters

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Telemonitoring of home exercise cycle training in patients with COPD.International journal of chronic obstructive pulmonary disease · 2016
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  12. Descriptive epidemiology of physical activity energy expenditure in UK adults (The Fenland study).The international journal of behavioral nutrition and physical activity · 2019
    Article
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  16. Observational
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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

10 authors at 2 institutions in 1 country.

Hans van RemoortelFaculty of Kinesiology and Rehabilitation Sciences, Department of Rehabilitation Sciences, Katholieke Universiteit Leuven, Leuven, Belgium ; Respiratory Division and Rehabilitation, UZ Gasthuisberg, Leuven, Belgium.
Carlos Augusto CamilloFaculty of Kinesiology and Rehabilitation Sciences, Department of Rehabilitation Sciences, Katholieke Universiteit Leuven, Leuven, Belgium ; Respiratory Division and Rehabilitation, UZ Gasthuisberg, Leuven, Belgium.
Daniel LangerFaculty of Kinesiology and Rehabilitation Sciences, Department of Rehabilitation Sciences, Katholieke Universiteit Leuven, Leuven, Belgium ; Respiratory Division and Rehabilitation, UZ Gasthuisberg, Leuven, Belgium.
Miek HornikxFaculty of Kinesiology and Rehabilitation Sciences, Department of Rehabilitation Sciences, Katholieke Universiteit Leuven, Leuven, Belgium ; Respiratory Division and Rehabilitation, UZ Gasthuisberg, Leuven, Belgium.
Heleen DemeyerFaculty of Kinesiology and Rehabilitation Sciences, Department of Rehabilitation Sciences, Katholieke Universiteit Leuven, Leuven, Belgium ; Respiratory Division and Rehabilitation, UZ Gasthuisberg, Leuven, Belgium.
Chris BurtinFaculty of Kinesiology and Rehabilitation Sciences, Department of Rehabilitation Sciences, Katholieke Universiteit Leuven, Leuven, Belgium ; Respiratory Division and Rehabilitation, UZ Gasthuisberg, Leuven, Belgium.
Marc DecramerRespiratory Division and Rehabilitation, UZ Gasthuisberg, Leuven, Belgium.
Rik GosselinkFaculty of Kinesiology and Rehabilitation Sciences, Department of Rehabilitation Sciences, Katholieke Universiteit Leuven, Leuven, Belgium ; Respiratory Division and Rehabilitation, UZ Gasthuisberg, Leuven, Belgium.
Wim JanssensRespiratory Division and Rehabilitation, UZ Gasthuisberg, Leuven, Belgium.
Thierry TroostersFaculty of Kinesiology and Rehabilitation Sciences, Department of Rehabilitation Sciences, Katholieke Universiteit Leuven, Leuven, Belgium ; Respiratory Division and Rehabilitation, UZ Gasthuisberg, Leuven, Belgium.
KU Leuven · BEUniversitair Ziekenhuis Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccelerometry data are frequently analyzed without considering whether moderate-to-vigorous physical activities (MVPA) were performed in bouts of >10 minutes as defined in most physical activity guidelines. We aimed i) to quantify MVPA by using different commonly-applied physical activity guidelines, ii) to investigate the effect of bouts versus non-bouts analysis, and iii) to propose and validate a MVPA non-bouts cut-point to classify (in-) active subjects.

methodsHealthy subjects (n=110;62±6yrs) and patients with Chronic Obstructive Pulmonary Disease (COPD) (n=113;62±5yrs) wore an activity monitor for 7 days. Three Metabolic Equivalent of Task (MET) cut-offs and one individual target (50% VO₂ reserve) were used to define MVPA. First, all minutes of MVPA were summed up (NON-BOUTS). Secondly, only minutes performed in bouts of >10 minutes continuous activity were counted (BOUTS). Receiver operating characteristic (ROC) curve analyses were used to propose and (cross-) validate new MVPA non-bout cut-points based on the criterion of 30 minutes MVPA per day (BOUTS). Likelihood ratios (sensitivity/[1-specificity]) were used to express the association between the proposed MVPA non-bout target and the MVPA bout target of 30 min*day⁻¹.

resultsMVPA was variable across physical activity guidelines with lowest values for age-specific cut-offs. Selecting a METs cut-point corresponding to 50% VO₂ reserve revealed no differences in MVPA between groups. MVPA's analyzed in BOUTS in healthy subjects were 2 to 4 fold lower than NON-BOUTS analyses and this was even 3 to 12 fold lower in COPD. The MVPA non-bouts cut-point of 80 min*day⁻¹ using a 3 METs MVPA threshold delivered positive likelihood ratios of 5.1[1.5-19.6] (healthy subjects) and 2.3[1.6-3.3] (COPD).

conclusionMVPA varies upon the selected physical activity guideline/targets and bouts versus non-bouts analysis. Accelerometry measured MVPA non-bouts target of 80 min*day⁻¹, using a 3 METs MVPA threshold, is associated to the commonly-used MVPA bout target of 30 min*day⁻¹.

Indexed as

AccelerometryCross-Sectional StudiesHumansLikelihood FunctionsMotor ActivityPulmonary Disease, Chronic ObstructiveRetrospective StudiesROC CurveSensitivity and SpecificitySpirometryStatistics, NonparametricTime Factors

Identifiers

PMID24376804
PMCPMC3869841
OpenAlexW2063526109

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.