Evidence map›Paper›PMID 32131847›Full record

ArticleThe international journal of behavioral nutrition and physical activity2020

Compositional analysis of the associations between 24-h movement behaviours and cardio-metabolic risk factors in overweight and obese adults with pre-diabetes from the PREVIEW study: cross-sectional baseline analysis.

Nils Swindell, Paul Rees, Mikael Fogelholm, Mathijs Drummen, Ian MacDonald, J Alfredo Martinez, Santiago Navas-Carretero, Teodora Handjieva-Darlenska, Nadka Boyadjieva, Georgi Bogdanov and 15 more

Registry-linked trialAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01777893 (PREVention of Diabetes Through Lifestyle Intervention and Population Studies in Europe and Around the World), which is not on this map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 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.

NCT01777893 nacompletednot on this map

PREVention of Diabetes Through Lifestyle Intervention and Population Studies in Europe and Around the World

TypeinterventionalSponsorAnne Birgitte RabenRan2013 to 2018Enrolled2,500ConditionsPre-diabetes, ObesityArmsHigh protein/ high intensity physical activity (HP-HI), High protein / moderate intensity physical activity (HP-MI), Moderate protein/ high intensity physical activity (MP-HI), Moderate protein/ moderate intensity physical activity (MP-MI)
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

25 authors.

Nils SwindellEngineering East, Swansea University, Fabian Way, Crymlyn Burrows, Skewen, Swansea, Wales, SA1 8EN. n.j.swindell@swansea.ac.uk.
Paul ReesEngineering East, Swansea University, Fabian Way, Crymlyn Burrows, Skewen, Swansea, Wales, SA1 8EN.
Mikael FogelholmUniversity of Helsinki, Helsinki, Finland.
Mathijs DrummenMaastricht University, Maastricht, Netherlands.
Ian MacDonaldUniversity of Nottingham, Nottingham, UK.
J Alfredo MartinezCentre for Nutrition Research, University of Navarra (UNAV), Pamplona, Spain.
Santiago Navas-CarreteroCentre for Nutrition Research, University of Navarra (UNAV), Pamplona, Spain.
Teodora Handjieva-DarlenskaMedical University of Sofia, Sofia, Bulgaria.
Nadka BoyadjievaMedical University of Sofia, Sofia, Bulgaria.
Georgi BogdanovMedical University of Sofia, Sofia, Bulgaria.
Sally D PoppittHuman Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand.
Nicholas GantHuman Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand.
Marta P SilvestreHuman Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand.
Jennie Brand-MillerUniversity of Sydney, Sydney, Australia.
Wolfgang SchlichtUniversity of Stuttgart, Stuttgart, Germany.
Roslyn MuirheadUniversity of Sydney, Sydney, Australia.
Shannon BrodieUniversity of Sydney, Sydney, Australia.
Heikki TikkanenUniversity of Eastern Finland, Kuopio, Finland.
Elli JaloUniversity of Helsinki, Helsinki, Finland.
Margriet Westerterp-PlantengaMaastricht University, Maastricht, Netherlands.
Tanja AdamMaastricht University, Maastricht, Netherlands.
Pia Siig VestentoftUniversity of Copenhagen, Copenhagen, Denmark.
Thomas M LarsenUniversity of Copenhagen, Copenhagen, Denmark.
Anne RabenUniversity of Copenhagen, Copenhagen, Denmark.
Gareth StrattonEngineering East, Swansea University, Fabian Way, Crymlyn Burrows, Skewen, Swansea, Wales, SA1 8EN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity, sedentary time and sleep have been shown to be associated with cardio-metabolic health. However, these associations are typically studied in isolation or without accounting for the effect of all movement behaviours and the constrained nature of data that comprise a finite whole such as a 24 h day. The aim of this study was to examine the associations between the composition of daily movement behaviours (including sleep, sedentary time (ST), light intensity physical activity (LIPA) and moderate-to-vigorous activity (MVPA)) and cardio-metabolic health, in a cross-sectional analysis of adults with pre-diabetes. Further, we quantified the predicted differences following reallocation of time between behaviours.

methodsAccelerometers were used to quantify daily movement behaviours in 1462 adults from eight countries with a body mass index (BMI) ≥25 kg·m

resultsReplacing MVPA with any other behaviour around the mean composition was associated with a poorer cardio-metabolic risk profile. Conversely, when MVPA was increased, the relationships with cardiometabolic risk markers was favourable but with smaller predicted changes than when MVPA was replaced. Further, substituting ST with LIPA predicted improvements in cardio-metabolic risk markers, most notably insulin and HOMA-IR.

conclusionsThis is the first study to use compositional analysis of the 24 h movement composition in adults with overweight/obesity and pre-diabetes. These findings build on previous literature that suggest replacing ST with LIPA may produce metabolic benefits that contribute to the prevention and management of type 2 diabetes. Furthermore, the asymmetry in the predicted change in risk markers following the reallocation of time to/from MVPA highlights the importance of maintaining existing levels of MVPA.

trial registrationClinicalTrials.gov (NCT01777893).

Indexed as

ObesityPrediabetic StateSedentary BehaviorBlood GlucoseBody Mass IndexCross-Sectional StudiesExerciseHumansOverweightRisk FactorsBlood GlucoseCompositional analysisPhysical activityPre-diabetesSedentary time

Identifiers

PMID32131847
PMCPMC7055067

What OpenQuestion holds

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Registered trials

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.