Evidence map›Paper›PMID 32939848›Full record

ArticleScandinavian journal of medicine & science in sports2021

Predictors of in-school and out-of-school sport injury prevention: A test of the trans-contextual model.

Alfred S Y Lee, Martyn Standage, Martin S Hagger, Derwin K C Chan

Open access · hybridAbstract read
In one paragraph

Article in Scandinavian journal of medicine & science in sports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 16 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

4 authors at 4 institutions in 5 countries.

Alfred S Y LeeSchool of Public Health, The University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0002-8837-7085
Martyn StandageCentre for Motivation and Health Behaviour Change, Department for Health, University of Bath, Bath, UK.ORCID https://orcid.org/0000-0002-9683-8590
Martin S HaggerSHARPP Lab, Psychological Sciences, University of California, Merced, CA, USA.ORCID https://orcid.org/0000-0002-2685-1546
Derwin K C ChanSchool of Public Health, The University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0001-8200-0263
Curtin University · AUUniversity of Bath · GBUniversity of California, Merced · USUniversity of Hong Kong · HK

Funding

Early Career Scheme, Hong Kong Research Grants Council 27106016
6 · The paper itself

Abstract

The current study aimed to predict secondary school students' motivation toward sport injury prevention in "in-school" and "out-of-school" contexts, and their sport injury prevention behavior at 3-month follow-up using the trans-contextual model (TCM). Hong Kong secondary school students (N = 1566; mean age = 13.34 years, range = 11 to 19; female = 49.42%) were recruited. Participants were asked to complete a survey comprising previously validated scales measuring TCM constructs at baseline and a measure of sport injury prevention behavior at follow-up three months later. Structural equation modeling (SEM) was used to examine the hypothesized paths among TCM constructs. A SEM specifying hypothesized paths among TCM variables showed acceptable fit with the data (χ

Indexed as

Models, PsychologicalMotivationPhysical Education and TrainingAdolescentAthletic InjuriesChildExerciseFemaleFollow-Up StudiesHong KongHumansMalePersonal AutonomyProspective StudiesSchoolsSocial Cognitionphysical educationsecondary school sport injuryself-determination theorytheory of planned behaviorthe trans-contextual model

Identifiers

PMID32939848
PMCPMC7756760
OpenAlexW3083626350

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.