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Record W3160064558 · doi:10.1097/fch.0000000000000303

Lessons From the Feasibility Testing of a Parent-Focused, Life Skills–Based Intervention to Prevent Obesity in Preschoolers From Underserved Families

2021· article· en· W3160064558 on OpenAlexaff
Temitope Erinosho, C. Richard Treadway, Christopher J. Wretman, Derek Hales, Jonathan L. Blitstein, Dianne S. Ward

Bibliographic record

VenueFamily & Community Health · 2021
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsEmergent BioSolutions (Canada)
FundersNational Cancer Institute
KeywordsPsychosocialIntervention (counseling)Psychological interventionHead startQuality of life (healthcare)PsychologyTest (biology)GerontologyChildhood obesityObesityMedicineDevelopmental psychologyNursingOverweightPsychiatry

Abstract

fetched live from OpenAlex

This article describes lessons from the feasibility testing of a parent-focused, life skills-based intervention to promote healthy weight in 58 low-income children aged 2 to 5 years. This intervention was feasible and acceptable, with a potential to impact child weight and diet (calories) and parental quality of life (QOL). The group delivery approach through a partnering organization (Head Start) was a more efficient way to reach/engage parents. Compared with one-on-one sessions, the group could provide an avenue to enhance parental psychosocial well-being, given QOL improvements among parents in group sessions. Lessons will inform future research to test the effectiveness of life skills interventions.

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)0.011
metaresearch head score (Gemma)0.017
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: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.139
GPT teacher head0.373
Teacher spread0.234 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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