Maternal pre‐pregnancy body mass index is not associated with infant and young child feeding in low‐income <scp>M</scp>exican children 1–24 months old
Bibliographic record
Abstract
Pre-pregnancy overweight and obesity is associated with shorter breastfeeding (BF) duration. Whether pre-pregnancy overweight and obesity is associated with other aspects of infant and young child feeding (IYCF) has not been investigated. We used data from 370 children born January 1999-September 2001 in a semi-urban community in Morelos, Mexico, where information on how they were fed was available at 1, 3, 6, 9, 12, 18 and 24 months of age. We modified the World Health Organization's dietary diversity indicator to assess the quality of the complementary foods. An index that included BF, quality of complementary foods and other behaviours was constructed to measure IYCF. We used survival analysis to examine the association of pre-pregnancy body mass index (pBMI) category and BF duration and mixed models for quality of complementary food and IYCF index. Mean maternal pBMI was 24.4 ± 4.1; 31% were overweight, and 9% were obese. pBMI was not associated with BF duration. Quality of complementary food improved over time (6 months, 1.3 ± 1.3; 24 months, 3.8 ± 1.04). Compared with normal-weight women, overweight and obese women were more likely to feed from more food groups (0.24 ± 0.11 point, P=0.03), but this did not improve diet diversity from 6 to 24 months. IYCF index decreased throughout follow-up (1 month, 7.8 ± 2.4; 24 months, 5.5 ± 1.8), and pBMI was not associated with IYCF (-0.11 ± 0.13 point, P=0.4). We conclude that heavier women were not engaging in IYCF behaviours that were distinct from those of normal-weight women from 1 to 24 months post-partum.
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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) | 0.000 | 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 | 0.001 | 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".