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Variability of macronutrient concentrations in human milk.
N F Butte1, C Garza, E O Smith
1USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, TX 77030.
European Journal of Clinical Nutrition
|April 1, 1988
Summary
Human milk nutrient variability is primarily due to individual differences and daily changes, not sample duplicates. Understanding this variation is key for accurate nutritional studies and planning future research.
Area of Science:
- Nutritional Science
- Human Physiology
- Biostatistics
Background:
- Human milk composition exhibits significant variability.
- Accurate nutritional assessment requires understanding sources of this variation.
Purpose of the Study:
- To partition the variability in human milk energy, total nitrogen, lactose, and fat concentrations.
- To identify the primary sources of variance in human milk nutrients.
- To provide a tool for planning future human milk studies.
Main Methods:
- Variability analysis of human milk components (energy, nitrogen, lactose, fat).
- Partitioning variance among subjects, days, and sample duplicates.
- Statistical analysis (ANOVA) to determine significance (P < 0.001).
Main Results:
- Subject differences accounted for the largest proportion of variance (75-92%) for all measured nutrients.
- Daily variations contributed significantly to variance (8-21%) for most nutrients.
- Sample duplicate analysis contributed minimally (<4%) to the overall variance.
Conclusions:
- Individual differences are the dominant factor in human milk nutrient variability.
- Daily fluctuations are a significant secondary source of variation.
- Study design should prioritize subject and day sampling for reliable human milk nutrient estimation.