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Record W3023572001

Parent-Child association in physical activity and sedentary behaviour.

2017· article· en· W3023572001 on OpenAlexaffabout
Didier Garriguet, Rachel C. Colley, Tracey Bushnik

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsPhysical activitySedentary behaviorAssociation (psychology)Screen timePsychologySedentary lifestyleDemographyMedicinePhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Parents influence the physical activity and sedentary behaviour of their children. This analysis examines associations between parental role modeling and support and children's physical activity and sedentary behaviour. DATA AND METHODS: The sample consists of 1,328 biological parent-child pairs from the first three cycles of the Canadian Health Measures Survey (2007 through 2013). Data on physical activity and sedentary behaviour were collected using a questionnaire and by accelerometer. Pearson correlation and linear regression analyses were completed to examine associations between parents' and children's measured physical activity and sedentary time and reported screen-based activities. Analyses were adjusted for variables indicating parental support and household lifestyle characteristics. RESULTS: Accelerometer-measured physical activity and sedentary time were correlated in all parent-child pairs. Parents' measured moderate-to-vigorous physical activity (MVPA) was associated with children's MVPA (ß = 0.28, p < 0.001). For every 20-minute increase in a parent's MVPA, the child's MVPA increased by 5 to 10 minutes. Parents' measured sedentary time was associated with that of their daughters on weekends, and with that of their sons during the after-school period. Parents' reported screen time was associated with that of their daughters. INTERPRETATION: This study confirms parents' influence on their children's physical activity. Parental role modeling and support have independent effects on a child's level of physical activity.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.278
Teacher spread0.253 · 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 teacher head, 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

Citations120
Published2017
Admission routes2
Has abstractyes

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