103: A Family-Centered Lifestyle Intervention Focused On Milk and Alternatives Reduces Adiposity in Six to Eight Y Old Overweight and Obese Children Compared to Control: Results at Six Months From a RCT
Bibliographic record
Abstract
The association between adiposity and milk and alternative (milk and alt.) intakes in prepubescent children is unclear. This study assessed the impact of a family-based lifestyle intervention on changes in adiposity in overweight (n=14) and obese (n=64) children (age 7.5±0.78 years). Children were randomized to control (CTRL) (no intervention), standard (SInt) (two milk and alt./d) or intensive (IInt) (four milk and alt./d) interventions focused on meeting Canada's food guide for healthy eating and the Canadian physical activity recommendations. Measurements for height (Ht; m) and weight (Wt; kg) to compute body mass index for-age- z-scores (BAZ) using WHOAntroPlus Software (WHO 2007), waist circumference (WC; cm) and percentage body fat (%BF) assessed using dual-energy X-ray absorptiometry, were done at baseline and six-month follow up visits. Proc mixed model ANOVAs were computed using SAS (Version 9.3, SAS Inc., Cary, NC). No differences were seen at baseline among groups for BAZ or %BF. At six months, Ht increased compared to baseline (P=0.898) and was not different among groups. Compared to baseline, %BF (−2.4±0.92%; P=0.0015) and BAZ (−0.5±0.08; P<0.001) was reduced only in IInt whereas WC increased only in CTRL (+2.5±1.61 cm; P=0.007). These preliminary results demonstrate the possible benefits of participating in a lifestyle intervention focused on increased milk and alt and activity guidelines in the context of the family environment. Study funded by the Dairy Research Cluster (Agriculture and Agri-Food Canada, Dairy Farmers of Canada and the Canadian Dairy Commission).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".