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早产母亲营养和围产期因素对母乳成分的影响。

Impact of Maternal Nutrition and Perinatal Factors on Breast Milk Composition after Premature Delivery.

机构信息

Department of Neonatology, Maternite Regionale, CHRU Nancy, 54035 Nancy, France.

DevAH, Lorraine University, 54500 Vandoeuvre les Nancy, France.

出版信息

Nutrients. 2019 Feb 10;11(2):366. doi: 10.3390/nu11020366.

Abstract

(1) Background: Premature infants require mothers' milk fortification to meet nutrition needs, but breast milk composition may be variable, leading to the risk of inadequate nutrition. We aimed at determining the factors influencing mothers' milk macronutrients. (2) Methods: Milk samples were analyzed for the first five weeks after premature delivery by infrared spectroscopy. Mothers' nutritional intake data were obtained during standardized interviews with dieticians, and then analyzed with reference software. (3) Results: The composition of 367 milk samples from 81 mothers was (median (range) g/100 mL): carbohydrates 6.8 (4.4⁻7.3), lipids 3.4 (1.3⁻6.4), proteins 1.3 (0.1⁻3.1). There was a relationship between milk composition and mothers' carbohydrates intake only ( = 0.164; < 0.01). Postnatal age was correlated with milk proteins ( = -0.505; < 0.001) and carbohydrates (r = +0.202, < 0.001). Multiple linear regression analyses showed (coefficient) a relationship between milk proteins r = 0.547 and postnatal age (-0.028), carbohydrate intake (+0.449), and the absence of maturation (-0.066); associations were also found among milk lipids r = 0.295, carbohydrate intake (+1.279), and smoking (-0.557). Finally, there was a relationship among the concentration of milk carbohydrates r = 0.266, postnatal age (+0.012), and smoking (-0.167). (4) Conclusions: The variability of mothers' milk composition is differentially associated for each macronutrient with maternal carbohydrate intake, antenatal steroids, smoking, and postnatal age. Improvement in milk composition could be achieved by the modification of these related factors.

摘要

(1) 背景:早产儿需要母乳强化来满足营养需求,但母乳成分可能存在差异,导致营养不足的风险。我们旨在确定影响母乳宏量营养素的因素。(2) 方法:通过红外光谱法分析早产儿出生后前五周的奶样。通过与营养师进行标准化访谈获得母亲的营养摄入量数据,并使用参考软件进行分析。(3) 结果:81 位母亲的 367 份奶样组成(中位数(范围)g/100 mL):碳水化合物 6.8(4.4⁻7.3),脂肪 3.4(1.3⁻6.4),蛋白质 1.3(0.1⁻3.1)。母乳成分仅与母亲的碳水化合物摄入有关( = 0.164; < 0.01)。产后年龄与母乳蛋白质( = -0.505; < 0.001)和碳水化合物(r = +0.202; < 0.001)呈负相关。多元线性回归分析显示(系数),母乳蛋白质 r = 0.547 与产后年龄(-0.028)、碳水化合物摄入(+0.449)和不成熟(-0.066)之间存在关系;还发现母乳脂肪 r = 0.295 与碳水化合物摄入(+1.279)和吸烟(-0.557)之间存在关联。最后,母乳中碳水化合物的浓度 r = 0.266 与产后年龄(+0.012)和吸烟(-0.167)之间存在关系。(4) 结论:母乳成分的变异性对于每种宏量营养素与母亲的碳水化合物摄入、产前类固醇、吸烟和产后年龄都有不同的相关性。通过这些相关因素的改变,可以改善母乳的成分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8039/6413091/c3d29bfc5307/nutrients-11-00366-g001.jpg

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