Evidence map›Paper›PMID 32423411›Full record

ArticleThe international journal of behavioral nutrition and physical activity2020

Investigating longitudinal context-specific physical activity patterns in transition from primary to secondary school using accelerometers, GPS, and GIS.

Teun Remmers, Dave Van Kann, Stef Kremers, Dick Ettema, Sanne I de Vries, Steven Vos, Carel Thijs

Abstract 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. Cited by 19 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 5 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.

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

19 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Investigating young children's physical activity through time and place.International journal of health geographics · 2024
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  13. Physical Education and Sports: A Backbone of the Entire Community in the Twenty-First Century.International journal of environmental research and public health · 2022
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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.

Teun RemmersSchool of Sport Studies, Fontys University of Applied Sciences, P.O. Box 347, Eindhoven, AH, 5600, The Netherlands. t.remmers@fontys.nl.ORCID 0000-0002-5921-7509
Dave Van KannSchool of Sport Studies, Fontys University of Applied Sciences, P.O. Box 347, Eindhoven, AH, 5600, The Netherlands.
Stef KremersDepartment of Health Promotion, Maastricht University (Medical Center+), NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht, the Netherlands.
Dick EttemaDepartment of Human Geography and Planning, Utrecht University, Utrecht, the Netherlands.
Sanne I de VriesThe Hague University of Applied Sciences, Research group Healthy Lifestyle in a Supporting Environment, The Hague, the Netherlands.
Steven VosSchool of Sport Studies, Fontys University of Applied Sciences, P.O. Box 347, Eindhoven, AH, 5600, The Netherlands.
Carel ThijsDepartment of Epidemiology, Maastricht, Maastricht University (Medical Center+), CAPHRI Care and Public Health Research Institute, Maastricht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrevious longitudinal studies indicate that physical activity (PA) significantly declines from primary-to secondary school, and report both changes in individual and environmental determinants of PA. In order to understand this transition and to prevent this negative trend, it is important to gather contextually rich data on possible mechanisms that drive this decline. Therefore, the aim of this study was to investigate changes of PA patterns in transition between primary and secondary school, and to add domain-specific insights of how, where, and when these changes occur.

methodsIn total, 175 children participated in a 7-day accelerometer- and Global Positioning System (GPS) protocol at their last year of primary and their first year of secondary school. GPS data-points were overlaid with Geographical Information Systems (GIS) data using ArcGIS 10.1 software. Based on the GPS locations of individual data-points, we identified child's PA at home, school, local sports grounds, shopping centers, and other locations. Also, trips in active and passive transport were identified according to previously validated GPS speed-algorithms. Longitudinal multi-level linear mixed models were fitted adjusting for age, gender, meteorological circumstances, and the nested structure of days within children and children within schools. Outcome measures were minutes spent in light PA and moderate-to-vigorous PA, specified for the time-segments before school, during school, after school and weekend days.

resultsTotal PA significantly declined from primary to secondary school. Although transport-related PA increased before- and during school, decreases were found for especially afterschool time spent at sports grounds and transport-related PA during weekends.

conclusionsThis is the first study that demonstrated longitudinal changes of context- and domain-specific PA patterns in transition between primary and secondary school, based on device-assessed PA. Given the importance of this transition-period for the development of long-term PA patterns, results from this study warrant the development of evidence-based PA programs in this transition period, while acknowledging the integrative role of schools, parents, and afterschool sports providers. More specifically, the results underline the need to increase children's PA levels in primary schools, promote afterschool PA at secondary schools, and to prevent the drop-out in sports participation at secondary schools.

Indexed as

AccelerometryChild BehaviorExerciseGeographic Information SystemsSchoolsChildData CollectionFemaleHumansLongitudinal StudiesMaleAfter schoolChildContextCyclingDomainEnvironmentGeographicSportsTime segmentTransportWalkingWeekdayWeekend

Identifiers

PMID32423411
PMCPMC7236458

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LicenceCC BY
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Registered trials

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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.