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Record W7162868665 · doi:10.2196/89405

Sending PReschoolers OUTside (SPROUT) Prospective Cohort Study: Study Protocol (Preprint)

2025· article· en· W7162868665 on OpenAlexvenueno aff
Maeghan James, Louise de Lannoy, Kelly P. Arbour‐Nicitopoulos, Alessia Capone, Lisa Belton, Kim Hiscott, Lisa Lalone, Tammy Potter, Paula ter Huurne, Mark S. Tremblay

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsnot available
Fundersnot available
KeywordsProtocol (science)Prospective cohort studyCohort studyCohortPopulation

Abstract

fetched live from OpenAlex

Background: Outdoor play supports children's physical, social, and cognitive development; yet, opportunities are declining as indoor, screen-based childhoods become the norm. Early Learning and Child Care (ELCC) centers are key settings for promoting outdoor play, but limited evidence exists on the health and developmental outcomes of licensed nature-based ELCC programs, particularly for children with and those without disabilities. Objective: The Sending Preschoolers Outside (SPROUT) and SPROUT-able studies aim to examine the impact of one of Canada's first purposely designed and built licensed outdoor-focused ELCC programs. The primary objective is to examine the health and developmental outcomes of children aged 10-59 months, with and those without disabilities, attending an outdoor-focused, full-day licensed ELCC program compared to those in conventional (eg, not outdoor-focused) ELCC settings. Secondary objectives are to (1) examine educator job satisfaction, health, well-being, and attitudes toward teaching outdoors for children with and those without disabilities; (2) examine caregiver beliefs and attitudes toward children's participation in outdoor play and learning; and (3) identify barriers and facilitators to outdoor play and learning for children with and those without disabilities (ie, the SPROUT-able substudy) in an outdoor-focused ELCC program. Methods: This prospective longitudinal open cohort study follows children, caregivers, and educators over 3 years. Participants are recruited from 1 outdoor-focused (experimental) and 3 conventional (usual care) ELCC centers in Ontario, Canada; all sites are licensed. Assessments occur every 6 months and include direct measures of children (eg, anthropometry, motor skills, and accelerometry) and caregiver and educator questionnaires. Mixed-effects modeling will examine changes over time and between groups (experimental vs usual care). Results: As of August 2025, 86 caregiver-child dyads are enrolled in the study (67 experimental and 43 control). Of these, 70 children who enrolled at study initiation have completed baseline and T1 and T2 assessments (43 experimental and 27 usual care), while 18 children enrolled at the 6-month time point (T1; 13 experimental and 5 usual care) have completed T1 and T2 (with a missing baseline assessment). A total of 19 children from the experimental group were identified as having a disability meeting criteria for the SPROUT-able substudy: 4 with a formal diagnosis, 3 with caregiver-reported functional difficulties, and 12 receiving additional support from an inclusion support worker. Conclusions: By combining a holistic and comparative approach with a focus on children with and those without disabilities, the SPROUT and SPROUT-able studies will generate comprehensive evidence to inform ELCC practice and policy in Canada and internationally. This model within Canada provides timely evidence on outdoor-focused ELCC delivery, integrating disability inclusive outdoor play into ELCC settings, and has the potential to guide meaningful improvements in child development, educator well-being, and community health.

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)0.049
metaresearch head score (Gemma)0.107
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.139
Threshold uncertainty score0.466

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.107
Meta-epidemiology (narrow)0.0040.006
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0040.004
Science and technology studies0.0040.002
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.1390.029

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 head0.834
GPT teacher head0.729
Teacher spread0.105 · 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
GenreProtocol

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
Published2025
Admission routes1
Has abstractno

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