Evidence map›Paper›PMID 29903009›Full record

ArticleThe international journal of behavioral nutrition and physical activity2018

A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity.

Nidhi Gupta, Svend Erik Mathiassen, Glòria Mateu-Figueras, Marina Heiden, David M Hallman, Marie Birk Jørgensen, Andreas Holtermann

Open access · goldAbstract readComparative Study
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
12.2field-weighted citation impact, top 1% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.

  1. 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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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 5 institutions in 3 countries.

Nidhi GuptaNational Research Centre for the Working Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark. ngu@nrcwe.dk.
Svend Erik MathiassenCentre for Musculoskeletal Research, Department of Occupational and Public Health Sciences, University of Gävle, Kungsbäcksvägen 47, 801 76, Gävle, Sweden.
Glòria Mateu-FiguerasDepartment of Computer Science, Applied Mathematics and Statistics, University of Girona, Campus Montilivi, Edifici P-IV, 17004, Girona, Spain.
Marina HeidenCentre for Musculoskeletal Research, Department of Occupational and Public Health Sciences, University of Gävle, Kungsbäcksvägen 47, 801 76, Gävle, Sweden.
David M HallmanCentre for Musculoskeletal Research, Department of Occupational and Public Health Sciences, University of Gävle, Kungsbäcksvägen 47, 801 76, Gävle, Sweden.
Marie Birk JørgensenNational Research Centre for the Working Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark.
Andreas HoltermannNational Research Centre for the Working Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark.
Gävle Hospital · SENational Research Centre for the Working Environment · DKUniversity of Gävle · SEUniversity of Girona · ESUniversity of Southern Denmark · DK

Funding

Danish Work Environment Research Fund 20150017496/4Forskningsrådet för Hälsa, Arbetsliv och Välfärd 2009-1761
6 · The paper itself

Abstract

backgroundData on time spent in physical activity, sedentary behavior and sleep during a day is compositional in nature, i.e. they add up to a constant value. Compositional data have fundamentally different properties from unconstrained data in real space, and require other analytical procedures, referred to as compositional data analysis (CoDA). Most physical activity and sedentary behavior studies, however, still apply analytical procedures adapted to data in real space, which can lead to misleading results. The present study describes a comparison of time spent sedentary and in physical activity between age groups and sexes, and investigates the extent to which results obtained by CoDA differ from those obtained using standard analytical procedures.

methodsTime spent sedentary, standing, and in physical activity (walking/running/stair climbing/cycling) during work and leisure was determined for 1-4 days among 677 blue-collar workers using accelerometry. Differences between sexes and age groups were tested using MANOVA, using both a standard and a CoDA approach based on isometric log-ratio transformed data.

resultsWhen determining differences between sexes for different activities time at work, the effect size using standard analysis (η

conclusionResults and, hence, inferences concerning age and sex-based differences in time spent sedentary and in physical activity at work differed between CoDA and standard analysis. We encourage researchers to use CoDA in similar studies, to adequately account for the compositional nature of data on physical activity and sedentary behavior.

Indexed as

ExerciseSedentary BehaviorAccelerometryAdultAge FactorsCross-Sectional StudiesDenmarkFemaleHumansMaleMiddle AgedSex FactorsSleepSurveys and QuestionnairesAccelerometryAgeCoDACoDA-based MANOVAIsometric log-ratioSex

Identifiers

PMID29903009
PMCPMC6003121
OpenAlexW2808206131

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.