MétaCan
Menu
Back to cohort

Movement behaviour education for parents in prenatal, postnatal, and pediatric care in Canada: A needs assessment

2024· other· en· W6977868454 on OpenAlexaffabout

Bibliographic record

VenueFigshare · 2024
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Specialized Academic Research
Canadian institutionsChildren’s Health Research InstituteWestern University
Fundersnot available
KeywordsMovement (music)Logistic regressionDescriptive statisticsChild careInformation needsNeeds assessmentEarly childhoodSocial media

Abstract

fetched live from OpenAlex

Abstract Background Parents/guardians can greatly influence their child’s movement behaviours (i.e., physical activity, sedentary behaviour, and sleep). Yet, they have reported to lack sufficient background knowledge to foster healthy movement habits, and little is known about specific educational gaps. The aim of this study was to explore the educational background and needs regarding promoting healthy movement behaviours in early childhood among parents/guardians living in Canada. Methods A cross-sectional study was conducted with parents/guardians living in Canada who had at least one child under the age of 5 years. Participants completed an online survey capturing their demographics, information they received about movement behaviours in early childhood during their prenatal/postnatal care or child’s pediatrician appointments, where they sourced information about these topics, content areas they would like more information on, and preferred format for delivery. Descriptive statistics and frequencies were calculated for all outcome variables and logistic regression was used to explore if sociodemographic variables were associated with receiving movement behaviour-related education across care types. Results Among the 576 parents/guardians who completed the survey, many reported no mention of any movement behaviour in their prenatal (49.4%), postnatal (29.6%), and pediatric care (37.2%). Physical activity was the most cited movement behaviour across care types, with 42.4%, 57.9%, and 54.8% of participants indicating this was discussed in their prenatal, postnatal, and pediatric care, respectively. Only 41.7% of parents/guardians reported asking their child’s pediatrician about movement behaviours, while most relied on social media (70.9%), internet websites/news articles (68.7%), and family/friends (67.6%). The most sought-after movement behaviour topics included incorporating movement into traditionally sedentary activities (68.8%) and activity ideas to break up sitting time (65.0%), and participants expressed preference to receive more information via social media (63.2%), an online resource package (47.8%), or email (46.6%). Conclusions Given the noted inconsistencies in education relating to movement behaviours in maternal and pediatric care, this study highlights the opportunity for greater integration of this type of education across care types. Ensuring all parents/guardians receive evidence-based and consistent guidance on their child’s movement behaviours will help ensure young children receive the best start to a healthy active life.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.351

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0070.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.293
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueFigshareSame topicDiverse Specialized Academic ResearchFrench-language works237,207