Evidence map›Paper›PMID 29618360›Full record

ArticleThe international journal of behavioral nutrition and physical activity2018

Physical activity and sedentary behavior in preschoolers: a longitudinal assessment of trajectories and determinants.

Einat A Schmutz, Sarah R Haile, Claudia S Leeger-Aschmann, Tanja H Kakebeeke, Annina E Zysset, Nadine Messerli-Bürgy, Kerstin Stülb, Amar Arhab, Andrea H Meyer, Simone Munsch and 3 more

Open access · goldAbstract read
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 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
6.4field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 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

13 authors at 5 institutions in 1 country.

Einat A SchmutzEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001, Zurich, Switzerland.
Sarah R HaileEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001, Zurich, Switzerland.
Claudia S Leeger-AschmannEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001, Zurich, Switzerland.
Tanja H KakebeekeChild Development Center, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland.
Annina E ZyssetChild Development Center, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland.
Nadine Messerli-BürgyDepartment of Clinical Psychology and Psychotherapy, University of Fribourg, Clinical Psychology and Psychotherapy, Rue P.A. de Faucigny 2, 1700, Fribourg, Switzerland.
Kerstin StülbDepartment of Clinical Psychology and Psychotherapy, University of Fribourg, Clinical Psychology and Psychotherapy, Rue P.A. de Faucigny 2, 1700, Fribourg, Switzerland.
Amar ArhabEndocrinology, Diabetes & Metabolism Service, Centre Hospitalier Universitaire Vaudois (CHUV), Avenue Pierre Decker 2, 1011, Lausanne, Switzerland.
Andrea H MeyerDepartment of Psychology, University of Basel, Missionsstrasse 62A, 4055, Basel, Switzerland.
Simone MunschDepartment of Clinical Psychology and Psychotherapy, University of Fribourg, Clinical Psychology and Psychotherapy, Rue P.A. de Faucigny 2, 1700, Fribourg, Switzerland.
Jardena J PuderEndocrinology, Diabetes & Metabolism Service, Centre Hospitalier Universitaire Vaudois (CHUV), Avenue Pierre Decker 2, 1011, Lausanne, Switzerland.
Oskar G JenniChild Development Center, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland.
Susi KriemlerEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001, Zurich, Switzerland. susi.kriemlerwiget@uzh.ch.
University of Zurich · CHUniversity Children's Hospital Zurich · CHUniversity of Fribourg · CHUniversity Hospital of Lausanne · CHUniversity of Basel · CH

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung CRSII3_147673
6 · The paper itself

Abstract

backgroundDespite physical activity (PA) being recognized as a critically important factor for good physical and mental health already early in life and throughout the life course, prospective data on activity behavior during the preschool years remains scarce. This study examined trajectories and determinants of levels and change in total PA (TPA), moderate-to-vigorous PA (MVPA) and sedentary behavior (SB) in a representative sample of Swiss preschoolers.

methodsData were drawn from the Swiss Preschoolers' Health Study (SPLASHY), a multi-site prospective cohort study including 555 children (53% boys) aged 2-to-6 years at baseline. A follow-up was conducted after 12 months. Activity behavior was measured using accelerometers. Information on 35 potential determinants from different socio-ecological domains was either directly measured or parent-reported. Trajectories of TPA, MVPA and SB over time were described for boys and girls. Linear mixed models were used to investigate factors that predicted levels and change in TPA, MVPA and SB.

resultsAll children were sufficiently physically active according to published recommendations for preschoolers. Trajectory profiles revealed a marked increase in TPA and MVPA in boys and girls whereas SB remained fairly stable over time. Mixed modeling demonstrated that variables most relevant to determining PA levels were sex, age and activity temperament (all positively associated). Together with gross motor skills, birth weight, family structure (only for TPA) and season (only for MVPA), these factors accounted for 26 and 32% of total variance explained in TPA and MVPA, respectively. Activity temperament emerged as the strongest determinant of SB (negative association) and explained with sex, season and family structure 20% of total variance in SB. The presence of older siblings was the only factor that predicted change in PA over time.

conclusionsIn this healthy physically active cohort of preschoolers, non-modifiable individual-level factors had the greatest influence on PA. The limited success of this and previous studies to identify modifiable determinants and the finding that most preschoolers were sufficiently active suggest that future attempts should provide insights into how preschoolers' activity levels can be maintained and fostered to prevent subsequent harmful declines attributable, amongst others, to educational transitions. Thus, good-quality longitudinal studies are needed.

trial registrationCurrent Controlled Trials ISRCTN41045021 (date of registration: 21.03.14).

Indexed as

ExerciseSedentary BehaviorAccelerometryChildChild HealthChild, PreschoolFemaleHumansLinear ModelsLongitudinal StudiesMaleParentsProspective StudiesSwitzerlandChildrenDeterminantsPhysical activityPreschoolSedentary behaviorSPLASHYTrajectories

Identifiers

PMID29618360
PMCPMC5885465
OpenAlexW2802416123

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.