Evidence map›Paper›PMID 33846158›Full record

ArticleBritish journal of sports medicine2022

GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies.

Jairo H Migueles, Eivind Aadland, Lars Bo Andersen, Jan Christian Brønd, Sebastien F Chastin, Bjørge H Hansen, Kenn Konstabel, Olav Martin Kvalheim, Duncan E McGregor, Alex V Rowlands and 5 more

Abstract readConsensus Statement
In one paragraph

Article in British journal of sports medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 8 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

84 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  4. Validity and reliability of self-reported methods for assessment of 24-h movement behaviours: a systematic review.The international journal of behavioral nutrition and physical activity · 2024
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  16. Physical behaviour profiles and their associations with fitness and function in older adults: a cross-sectional latent profile analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
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24 more citing papers are in PubMed but not listed here.

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.

Jairo H MiguelesPROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain jairohm@ugr.es ortegaf@ugr.es.ORCID http://orcid.org/0000-0003-0366-6935
Eivind AadlandFaculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway.ORCID http://orcid.org/0000-0001-9654-2653
Lars Bo AndersenFaculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway.ORCID http://orcid.org/0000-0002-9800-029X
Jan Christian BrøndDepartment of Sport Science and Biomechanics, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0001-6718-3022
Sebastien F ChastinSchool of Health and Life Science, Glasgow Caledonian University, Glasgow, UK.ORCID http://orcid.org/0000-0003-1421-9348
Bjørge H HansenDepartment of Sports Medicine, Norwegian School of Sport Sciences, Osloål, Norway.ORCID http://orcid.org/0000-0001-8445-8227
Kenn KonstabelDepartment of Chronic Diseases, National Institute for Health Development, Tallinn, Estonia.ORCID http://orcid.org/0000-0002-9673-8469
Olav Martin KvalheimDepartment of Chemistry, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0001-9432-8776
Duncan E McGregorSchool of Health and Life Science, Glasgow Caledonian University, Glasgow, UK.ORCID http://orcid.org/0000-0003-2575-7547
Alex V RowlandsDiabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.ORCID http://orcid.org/0000-0002-1463-697X
Séverine SabiaUniversité de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France.ORCID http://orcid.org/0000-0003-3109-9720
Vincent T van HeesAccelting, Almere, The Netherlands.ORCID http://orcid.org/0000-0003-0182-9008
Rosemary WalmsleyNuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-1916-2478
Francisco B OrtegaPROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain jairohm@ugr.es ortegaf@ugr.es.ORCID http://orcid.org/0000-0003-2001-1121
External review group

Funding

Medical Research Council MR/R024227/1
6 · The paper itself

Abstract

The inter-relationship between physical activity, sedentary behaviour and sleep (collectively defined as physical behaviours) is of interest to researchers from different fields. Each of these physical behaviours has been investigated in epidemiological studies, yet their codependency and interactions need to be further explored and accounted for in data analysis. Modern accelerometers capture continuous movement through the day, which presents the challenge of how to best use the richness of these data. In recent years, analytical approaches first applied in other scientific fields have been applied to physical behaviour epidemiology (eg, isotemporal substitution models, compositional data analysis, multivariate pattern analysis, functional data analysis and machine learning). A comprehensive description, discussion, and consensus on the strengths and limitations of these analytical approaches will help researchers decide which approach to use in different situations. In this context, a scientific workshop and meeting were held in Granada to discuss: (1) analytical approaches currently used in the scientific literature on physical behaviour, highlighting strengths and limitations, providing practical recommendations on their use and including a decision tree for assisting researchers' decision-making; and (2) current gaps and future research directions around the analysis and use of accelerometer data. Advances in analytical approaches to accelerometer-determined physical behaviours in epidemiological studies are expected to influence the interpretation of current and future evidence, and ultimately impact on future physical behaviour guidelines.

Indexed as

ExerciseSedentary BehaviorAccelerometryEpidemiologic StudiesHumansSleepaccelerometerepidemiologyphysical activitysedentarystatistics

Identifiers

PMID33846158
PMCPMC8938657

What OpenQuestion holds

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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.