Evidence map›Paper›PMID 28520781›Full record

ArticlePloS one2017

Physical activity and sedentary behaviour in daily life: A comparative analysis of the Global Physical Activity Questionnaire (GPAQ) and the SenseWear armband.

Michelle Laeremans, Evi Dons, Ione Avila-Palencia, Glòria Carrasco-Turigas, Juan Pablo Orjuela, Esther Anaya, Christian Brand, Tom Cole-Hunter, Audrey de Nazelle, Thomas Götschi and 5 more

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 6 pooled it
–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

25 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Changes in Physical Activity Patterns Due to the Covid-19 Pandemic: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
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  6. Reliability and Concurrent Validity of Global Physical Activity Questionnaire (GPAQ): A Systematic Review.International journal of environmental research and public health · 2019
    Pooled it
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  18. An exploration of New Zealand mental health nurses' personal physical activities.International journal of mental health nursing · 2022
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  20. Cross-Sectional and Individual Relationships between Physical Activity and Glycemic Variability.Translational journal of the American College of Sports Medicine · 2022
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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

15 authors.

Michelle LaeremansEnvironmental Risk and Health unit (MRG), Flemish Institute for Technological Research (VITO), Mol, Belgium.ORCID http://orcid.org/0000-0002-1406-7893
Evi DonsEnvironmental Risk and Health unit (MRG), Flemish Institute for Technological Research (VITO), Mol, Belgium.
Ione Avila-PalenciaISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain.
Glòria Carrasco-TurigasISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain.
Juan Pablo OrjuelaCentre for Environmental Policy (CEP), Imperial College London, London, United Kingdom.
Esther AnayaCentre for Environmental Policy (CEP), Imperial College London, London, United Kingdom.
Christian BrandTransport Studies Unit, University of Oxford, Oxford, United Kingdom.
Tom Cole-HunterISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain.
Audrey de NazelleCentre for Environmental Policy (CEP), Imperial College London, London, United Kingdom.
Thomas GötschiPhysical Activity and Health Unit, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Sonja KahlmeierPhysical Activity and Health Unit, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Mark NieuwenhuijsenISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain.
Arnout StandaertEnvironmental Risk and Health unit (MRG), Flemish Institute for Technological Research (VITO), Mol, Belgium.
Patrick De BoeverEnvironmental Risk and Health unit (MRG), Flemish Institute for Technological Research (VITO), Mol, Belgium.
Luc Int PanisEnvironmental Risk and Health unit (MRG), Flemish Institute for Technological Research (VITO), Mol, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reduction of sedentary time and an increase in physical activity offer potential to improve public health. However, quantifying physical activity behaviour under real world conditions is a major challenge and no standard of good practice is available. Our aim was to compare the results of physical activity and sedentary behaviour obtained with a self-reported instrument (Global Physical Activity Questionnaire (GPAQ)) and a wearable sensor (SenseWear) in a repeated measures study design. Healthy adults (41 in Antwerp, 41 in Barcelona and 40 in London) wore the SenseWear armband for seven consecutive days and completed the GPAQ on the final day. This was repeated three times. We used the Wilcoxon signed rank sum test, Spearman correlation coefficients, mixed effects regression models and Bland-Altman plots to study agreement between both methods. Mixed models were used to assess the effect of personal characteristics on the absolute and relative difference between estimates obtained with the GPAQ and SenseWear. Moderate to vigorous energy expenditure and duration derived from the GPAQ were significantly lower (p<0.05) compared to the SenseWear, yet these variables showed significant correlations ranging from 0.45 to 0.64. Estimates of vigorous-intensity physical activity in particular showed high similarity (r>0.59). Results for sedentary behaviour did not differ, yet were poorly correlated (r<0.25). The differences between all variables were reproducible across repeated measurements. In addition, we observed a relationship between these differences and BMI, body fat and physical activity domain. Due to the lack of a standardized protocol, results from different studies measuring physical activity and sedentary behaviour are difficult to compare. Therefore, we suggested an easy-to-implement approach for future studies adding the GPAQ to the wearable of choice as a basis for comparisons.

Indexed as

ExerciseSedentary BehaviorAdolescentAdultEnergy MetabolismFemaleHumansMaleMiddle AgedMonitoring, PhysiologicSurveys and Questionnaires

Identifiers

PMID28520781
PMCPMC5433749

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.