Evidence map›Paper›PMID 32516858›Full record

ArticleScandinavian journal of medicine & science in sports2020

Light-intensity physical activity derived from count or activity types is differently associated with adiposity markers.

Charlotte Lund Rasmussen, Melker Staffan Johansson, Patrick Crowley, Peter Fjeldstad Hendriksen, Jørgen Skotte, Nidhi Gupta, Andreas Holtermann

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Scandinavian journal of medicine & science in sports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 5 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 3 institutions in 1 country.

Charlotte Lund RasmussenNational Research Center for the Working Environment, Copenhagen, Denmark.ORCID https://orcid.org/0000-0003-2193-5019
Melker Staffan JohanssonDepartment of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.ORCID https://orcid.org/0000-0002-2745-2870
Patrick CrowleyNational Research Center for the Working Environment, Copenhagen, Denmark.
Peter Fjeldstad HendriksenNational Research Center for the Working Environment, Copenhagen, Denmark.
Jørgen SkotteNational Research Center for the Working Environment, Copenhagen, Denmark.
Nidhi GuptaNational Research Center for the Working Environment, Copenhagen, Denmark.
Andreas HoltermannNational Research Center for the Working Environment, Copenhagen, Denmark.
National Research Centre for the Working Environment · DKUniversity of Southern Denmark · DKUniversity of Copenhagen · DK

Funding

The Danish government (Satspulje)The Danish Working Environment Research Fund 20175100213
6 · The paper itself

Abstract

aimThe aim of this study was to compare the association between count- and activity type-based definitions of light-intensity physical activity (LIPA) and adiposity markers.

methodsA total of 516 Danish workers participated in 1-4 days of hip- and thigh-based accelerometer measurements. Three definitions of average daily time spent in LIPA were derived: LIPA (1) time spent between 100 and 2029 CPM, LIPA (2) time spent moving and slow walking, and LIPA (3) time spent moving, walking slow, and standing. Adiposity markers were body mass index (BMI), body fat percentage, and waist circumference. The cross-sectional association between the three LIPA definitions and adiposity markers was analyzed and interpreted using compositional regression models followed by reallocation of time between LIPA, moderate-to-vigorous physical activity (MVPA), and sedentary behavior (SB), respectively.

resultsThe geometric means of daily time (min/day) spent in LIPA 1, LIPA 2, and LIPA 3 were 326, 102, and 274, respectively. We found the direction and strength of the association between the relative importance of daily time spent in LIPA and the adiposity markers to depend on the LIPA definition. For example, reallocating 30 minutes from MVPA to LIPA 1, LIPA 2 and LIPA 3 were associated with a 2.97 (95% CI: 0.68; 5.27), -0.71 (95% CI: -1.43; 0.02), and -0.45 (95% CI: -1.01; 0.11) difference in BMI, respectively.

conclusionOur findings highlight the need for caution when comparing results from studies using different definitions of LIPA.

Indexed as

AdiposityBody Mass IndexExerciseSedentary BehaviorWaist CircumferenceAccelerometryAdipose TissueCohort StudiesCross-Sectional StudiesDenmarkFemaleHumansLocomotionMaleMiddle AgedRegression Analysisaccelerometermethodologyphysical activitytechnical measurements

Identifiers

PMID32516858
PMCPMC7540429
OpenAlexW3033662267

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.