Reduced Bone Mineralization in Infants Fed Palm Olein-Containing Formula: A Randomized, Double-Blinded, Prospective Trial
Bibliographic record
Abstract
OBJECTIVE: Palm and palm olein (PO) oils are used in some infant formula fat blends to match the fatty acid profile of human milk, but their presence has been shown to lower calcium and fat absorption. We aimed to determine if the reported differences in calcium absorption could affect skeletal development by comparing bone mineral accretion in healthy term infants fed a milk-based formula with (PMF) or without PO. METHODS: Whole body bone mineralization was evaluated in healthy term infants fed 1 of 2 coded, commercially available, ready-to-feed infant formulas in a randomized, double-blind, parallel study. Subjects were fed either 1). PMF formula (Enfamil with iron; Mead Johnson Division of Bristol Myers, Evansville, IN; N = 63) containing PO/coconut/soy/high-oleic sunflower oils (45/20/20/15% oil); or 2). milk-based formula without PO (Similac with iron; Ross Products Division Abbott Laboratories, Columbus, OH; N = 65), containing high-oleic safflower/coconut/soy oils (40/30/30% oil) from enrollment by 2 weeks after birth until 6 months. Anthropometrics and formula intake were determined monthly; total body bone mineral content (BMC) and bone mineral density (BMD) were measured at baseline, 3, and 6 months of age using dual energy x-ray absorptiometry. RESULTS: Intent-to-treat analyses indicated no significant differences between feeding groups in weight, length, head circumference, or formula intake throughout the study. BMC and BMD were not different at baseline but repeated measures analyses show that infants fed PMF had significantly lower BMC and BMD at 3 and 6 months. CONCLUSIONS: Healthy term infants fed a formula containing PO as the predominant oil in the fat blend had significantly lower BMC and BMD than those fed a formula without PO. The inclusion of PO in infant formula at levels needed to provide a fatty acid profile similar to that of human milk leads to lower bone mineralization.
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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 | 0.002 | 0.001 |
| 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 | 0.000 |
| 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".