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Record W4322770556 · doi:10.1016/s2214-109x(23)00100-6

The voices of children on movement behaviours: implications for promoting international guidelines to support obesity-prevention efforts

2023· article· en· W4322770556 on OpenAlexaff
Katharina E. Kariippanon, Nicolás Aguilar-Farías, Asmaa el Hamdouchi, Hongyan Guan, Himangi Lubree, Anthony D. Okely, Mark S. Tremblay, Catherine E. Draper

Bibliographic record

VenueThe Lancet Global Health · 2023
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsChildren's Hospital of Eastern Ontario
FundersMedical Research CouncilNational Health and Medical Research CouncilUniversidad de La Frontera
KeywordsContext (archaeology)AutonomyPsychologyChildhood obesityAgency (philosophy)GlobeMedicineOverweightObesityGeographyPolitical scienceSociology

Abstract

fetched live from OpenAlex

BACKGROUND: As a key factor for the prevention of childhood obesity, WHO recommends a specific balance of movement behaviours (ie, physical activity, sedentary behaviour, and sleep) across the 24-h day for children younger than 5 years. Substantial evidence underpins our understanding of the benefits for healthy growth and development; however, little is known about young children's experiences and perceptions, and whether context-specific factors that might influence movement behaviours differ across the globe. METHODS: Acknowledging children's agency as knowledgeable informants on matters affecting their lives, children aged 3-5 years from communities and preschools in urban and rural Australia, Chile, China, India, Morocco, and South Africa, were interviewed. Discussions were based on a socioecological framework of the multifactorial, complex influences on young children's movement behaviours. Prompts were adapted to ensure relevance across diverse study sites. Ethics approval and guardian consent were obtained, and the Framework Method used for analysis. FINDINGS: 156 children (101 [65%] from urban areas, 55 [45%] from rural areas; 73 [47%] female, 83 [53%] male) shared their experiences, perceptions, and preferences related to movement behaviours and the barriers and enablers of outdoor play. Physical activity, sedentary behaviour, and to a lesser degree screen time occurred predominantly through play. Barriers to outdoor play included weather, air quality, and safety concerns. Sleep routines varied considerably and were influenced by room or bed sharing. Screen use was ubiquitous, presenting a challenge to meeting recommendations. The effect of daily structure, degree of autonomy, and interactions were consistent themes, and differences in how these factors influenced movement behaviours across study sites were evident. INTERPRETATION: The findings highlight that although movement behaviour guidelines are universal, contextual realities need to be considered in how socialisation and promotion of the guidelines are enacted. How young children's sociocultural and physical environments are constructed and influenced can foster or disrupt healthy movement behaviours, which might have implications for childhood obesity. FUNDING: Beijing High Level Talents Cultivation Project for Public Health Academic Leader; Beijing Medical Research Institute (Public service development and reform pilot project); British Academy for the Humanities and Social Sciences; KEM Hospital Research Centre; Ministry of Education and Universidad de La Frontera (Innovation in Higher Education Program); and National Health and Medical Research Council (Investigator Grant Leadership Fellow, Level 2).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.080
metaresearch head score (Gemma)0.111
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.424

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0800.111
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0120.021
Scholarly communication0.0170.020
Open science0.0050.023
Research integrity0.0120.019
Insufficient payload (model declined to judge)0.0130.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.067
GPT teacher head0.440
Teacher spread0.373 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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