Independent effect of type of breastfeeding on overweight and obesity in children aged 12-24 months.
Bibliographic record
Abstract
This study aimed to analyze the effect of type of breastfeeding on the nutritional status of children between 12-24 months of age. This cohort study included 435 children born in 2012 in a public hospital in Joinville, Santa Catarina State, Brazil. Two years after delivery the mothers and their children were contacted in their homes for a new investigation of demographic, economic, nutritional, and anthropometric data. In the unadjusted analysis, children who were not exclusively breastfed were more likely to be overweight (including obesity) at 2 years of age (OR = 1.6; p = 0.049) than exclusively breastfed children. After adjusting for several covariates, children who were not exclusively breastfed had a 12% higher risk of overweight including obesity compared to unadjusted analysis (OR = 2.6 vs. OR = 1.8; p = 0.043). In addition, birthweight was also an independent determinant of overweight including obesity (OR = 2.5; p = 0.002). The practice of exclusive breastfeeding can reduce the risk of overweight in children from developing countries such as Brazil.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".