ABC Grow Healthy Practices and Obesity‐Related Health Behaviours in Family Child Care Homes in South Carolina
Bibliographic record
Abstract
BACKGROUND: Many states throughout the United States have introduced Quality Rating and Improvement Systems (QRIS) to address childhood obesity in preschool-age children, but few have examined the impact of these standards in Family Child Care Homes (FCCHs). In South Carolina, the ABC Grow Healthy Practices are specific QRIS items that include diet, physical activity and sleep practices. METHODS: The purposes of this cross-sectional study are to (1) describe physical activity levels, sleep duration and diet quality of children attending FCCHs in South Carolina and (2) compare physical activity levels, sleep duration and diet quality between children attending FCCHs that were enrolled versus not enrolled in the ABC programme. Means and percentages were used to summarize child- and parent-level descriptive characteristics, physical activity levels, diet quality and sleep behaviours overall and by sex, race/ethnicity and ABC participation. t tests and chi-square analyses were used to compare child- and parent-level demographic characteristics as well as child-level behaviours by ABC status. RESULTS: Results revealed low physical activity levels (11.2 ± 4.1 min/h of total physical activity and 5.5 ± 2.6 min/h of moderate and vigorous physical activity) and poor diet quality (Healthy Eating Index 56.0 ± 10.3) in all children. There were statistically significant differences in fat and protein consumption between ABC and non-ABC FCCHs, as well as differences in demographic characteristics. CONCLUSION: Future research is recommended to assess whether strengthening guidelines and improving implementation of obesity prevention standards will improve physical activity levels and diets of children attending FCCHs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".