Hopperton Kathryn E, O'Neill Erica, Chakrabarti Subhadeep, Stanton Melanie, Parnel Sophie, Arbuckle Tye E, Ashley-Martin Jillian, Bertinato Jesse, Bouchard Maryse F, Borghese Michael M, Brooks Stephen, Cockell Kevin, Dabeka Robert, Joung Meong Jin, Lanphear Bruce P, Lapointe Pascal, MacFarlane Amanda J, MacPherson Susan, Krzeczkowski John, Rawn Dorothea F K, von Dadelszen Peter, Weiler Hope A, Xiao Chao Wu, Fisher Mandy
Nutrition Research Division, Bureau of Nutritional Sciences, Food and Nutrition Directorate, Health Products and Food Branch, Health Canada, Ottawa, ON, Canada.
Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada.
Am J Clin Nutr. 2024 Dec;120(6):1419-1431. doi: 10.1016/j.ajcnut.2024.09.029. Epub 2024 Oct 2.
Human milk (HM) composition data are widely used in clinical, regulatory, and public health initiatives. The existing HM profiles in United States and Canadian nutrient databanks are outdated and now considered inappropriate to estimate current nutrient intakes. Recent reviews have underscored the limited North American data available to generate a new profile.
To describe concentrations and sources of variability of nutrients in HM from a large cohort collected in Canada.
The Maternal-Infant Research on Environmental Chemicals (MIREC) study recruited participants in the first trimester of pregnancy from 10 Canadian cities between 2008 and 2011. HM samples (n = 559-835, depending on nutrient) were collected 3-10 wk postpartum and analyzed for minerals (calcium, magnesium, phosphorus, potassium, sodium, manganese, molybdenum, zinc, copper, iodine, selenium), vitamin D [vitamin D, 25-hydroxyvitamin D], folate vitamers (folic acid, 5-methyltetrahydrofolate, total folates), and fatty acids (panel). We examined associations between participant characteristics and log-transformed nutrient concentrations using linear regression.
Concentrations of HM components in MIREC samples were within the range observed in literature except for manganese, which was >100-fold lower than the value in the existing Canadian nutrient databank profile [2.43 (standard deviation 2.84) compared with 260 ng/g]. In multivariable models, concentrations of folate vitamers, vitamin D, and fatty acids demonstrated greater variability with maternal and sample characteristics than minerals. Factors such as relevant supplement use, body mass index, and for vitamin D, skin color and season, had a larger impact on nutrient concentrations than characteristics typically standardized in HM research, such as maternal or infant health, and method of collection.
HM mineral concentrations from this study meet the methodological inclusion criteria for updating nutrient databank values and dietary reference intakes. Consideration of factors such as diet, skin color, and BMI will be important for selecting studies for developing representative reference values based on HM.
人乳(HM)成分数据广泛应用于临床、监管及公共卫生项目。美国和加拿大营养数据库中现有的人乳概况已过时,如今被认为不适用于估算当前的营养素摄入量。近期综述强调了北美可用于生成新概况的数据有限。
描述加拿大一个大型队列中人乳营养素的浓度及变异来源。
母婴环境化学物质研究(MIREC)于2008年至2011年在加拿大10个城市招募了孕早期的参与者。产后3至10周收集人乳样本(n = 559 - 835,取决于营养素),并分析矿物质(钙、镁、磷、钾、钠、锰、钼、锌、铜、碘、硒)、维生素D[维生素D、25 - 羟基维生素D]、叶酸异构体(叶酸、5 - 甲基四氢叶酸、总叶酸)和脂肪酸(组)。我们使用线性回归研究参与者特征与对数转换后的营养素浓度之间的关联。
MIREC样本中人乳成分的浓度在文献报道的范围内,但锰除外,其浓度比加拿大现有营养数据库概况中的值低100倍以上[2.43(标准差2.84),而数据库值为260 ng/g]。在多变量模型中,叶酸异构体、维生素D和脂肪酸的浓度与母体及样本特征的变异性比矿物质更大。相关补充剂使用、体重指数等因素,以及对于维生素D而言的肤色和季节,对营养素浓度的影响比人乳研究中通常标准化的特征(如母体或婴儿健康状况以及收集方法)更大。
本研究中人乳矿物质浓度符合更新营养数据库值和膳食参考摄入量的方法学纳入标准。考虑饮食、肤色和体重指数等因素对于选择基于人乳制定代表性参考值的研究很重要。