Evidence map›Paper›PMID 25919340›Full record

Observational studyPediatric obesity2016

Objectively measured physical activity and longitudinal changes in adolescent body fatness: an observational cohort study.

P J Collings, K Wijndaele, K Corder, K Westgate, C L Ridgway, S J Sharp, A J Atkin, A M Stephen, D Bamber, I Goodyer and 2 more

Open access · hybridAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Pediatric obesity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 20 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

12 authors at 3 institutions in 2 countries.

P J CollingsMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
K WijndaeleMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
K CorderMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
K WestgateMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
C L RidgwayMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
S J SharpMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
A J AtkinUKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
A M StephenMRC Human Nutrition Research, University of Cambridge, Cambridge, UK.
D BamberDevelopmental Lifecourse Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
I GoodyerDevelopmental Lifecourse Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
S BrageMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
U EkelundMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
University of Cambridge · GBMRC Epidemiology Unit · GBMRC Human Nutrition Research · GB

Funding

British Heart Foundation FS/12/58/29709Medical Research Council MC_U106179473Medical Research Council MC_UP_1001/2Medical Research Council MC_UU_12015/3Medical Research Council MC_UU_12015/7Wellcome Trust 074296/Z/04/Z
6 · The paper itself

Abstract

backgroundThe data regarding prospective associations between physical activity (PA) and adiposity in youth are inconsistent.

objectiveThe objective of this study was to investigate associations between baseline levels of objectively measured PA and changes in adiposity over 2.5 years from mid-to-late adolescence.

methodsThis was an observational cohort study in 728 school students (43% boys) from Cambridgeshire, United Kingdom. Fat mass index (FMI, kg m(-2) ) was estimated at baseline (mean ± standard deviation age: 15 ± 0.3 years) and follow-up (17.5 ± 0.3 years) by anthropometry and bioelectrical impedance. Habitual PA was assessed at baseline by ≥3 d combined heart rate and movement sensing. Average daily PA energy expenditure (PAEE) and the time (min d(-1) ) spent in light, moderate and vigorous intensity PA (LPA, MPA and VPA, respectively) was estimated. Multilevel models were used to investigate associations between baseline PA and change in FMI (ΔFMI). Adjustment for baseline age, sex, follow-up duration, area-level socioeconomic status, season of PA assessment, sedentary time, energy intake and sleep duration was made; baseline FMI was also added in a second model.

resultsFMI increased significantly over follow-up (0.6 ± 1.2 kg m(-2) , P < 0.001). Baseline PAEE and LPA positively predicted ΔFMI in overfat participants (P ≤ 0.030), as did VPA in initially normal fat participants (P ≤ 0.044). There were further positive associations between PAEE and ΔFMI in normal fat participants, and between MPA and ΔFMI in both fat groups, when adjusted for baseline FMI (P ≤ 0.024).

conclusionsBaseline PAEE and its subcomponents were positively associated with small and unlikely clinically relevant increases in ΔFMI. These counter-intuitive findings may be explained by behavioural changes during the course of study follow-up.

Indexed as

AdiposityAdolescent BehaviorChild BehaviorEnergy IntakeMotor ActivityPhysical FitnessWeight GainAdipose TissueAdolescentBody Mass IndexChildChild, PreschoolFemaleHumansLeisure ActivitiesLongitudinal StudiesAdipositymotor activityprospective studyyouth

Identifiers

PMID25919340
PMCPMC4780592
OpenAlexW1560741628

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.