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Published on: February 7, 2025
Colorful Concerns: Exploring Perceived Reasons for and Maternal-Infant Reactions to Human Milk Color Changes Through
Shraddha Trehan1, Katarzyna Wszołek2, Ashley Rook1
1Department of Obstetrics and Gynecology, Texas Tech University Health Sciences Center, Amarillo, USA.
Background:
Human milk color variation has been described in case reports, but no large-scale studies have characterized this phenomenon. Abrupt changes in milk color can be unsettling for parents and healthcare providers, potentially leading to unnecessary breastfeeding disruption.
Research Aim:
The objectives of this study were to characterize self-reported human milk color variations, explore maternal perceptions of their causes, and examine factors associated with maternal breastfeeding routine changes following color variation.
Methods:
An exploratory cross-sectional online survey collecting self-reported observations of milk color changes was distributed via the InfantRisk Center from March 2022 to January 2023. Descriptive analyses characterized color variations and maternal responses (n = 430). Multivariable logistic regression identified factors associated with breastfeeding routine change (n = 277).
Results:
Green was the most commonly reported color (n = 174), followed by blue, yellow, and red. Most color changes lasted 1-3 days. Perceived causes included infection (n = 256), food (n = 274), vaccination (n = 43), medication/supplement (n = 60), and blood or trauma (n = 52). Most mothers were not concerned (n = 245), and no mother stopped breastfeeding entirely. Red milk was the strongest predictor of behavior change (adjusted odds ratio [aOR] = 19.5; 95% confidence interval [CI] 4.9-77.2), followed by fear of harming the infant (aOR = 2.9, 95% CI 1.7-5.1) and maternal age (aOR = 1.2, 95% CI 1.03-1.30). Education was protective. Prior breastfeeding experience, infant health, infant age, and healthcare provider recommendation were not associated with breastfeeding behavior change.
Conclusion:
Human milk color variation is more common and varied than previously documented. Anticipatory guidance normalizing color variation may reduce unnecessary fear across all parity groups.
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