Nutrient composition of human milk of Indian mothers: relation with maternal and infant anthropometry

Suman Kumari-Maurya, Uday S. Annapure, Shavika Gupta
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Abstract

The aim of the study was to determine the nutrient composition of human milk (HM) of Indian mothers and investigate its association with maternal and infant anthropometric measures. Human milk is an ideal source of nutrition for optimum growth and development of infant. Among Indian mothers, HM composition data is scanty, especially during prolonged lactation. Mother-infant dyads (n = 50) comprising of two lactation group (0–6 m, n = 26) and (7–12 m, n = 24) residing in Delhi, India were enrolled. Height, weight, BMI, MUAC and head circumference were measured and compared with reference standard. The macronutrients and micronutrients of HM were analysed using MIRIS analyzer, ICP-AES and HPLC. Correlation plots were generated between HM nutrients and maternal, infant anthropometry. Mean BMI of mothers were 19.6 ± 2.6 (0–6 m) and 21.2 ± 3.7 (7–12 m) kg/m2. Around 26% of mothers were underweight, 28% overweight. Among infants, 26% were underweight, wasted (18%), stunted (34%) and overweight (10%). The macronutrient composition of human milk were similar to reference values (means ± standard deviation). Both lactation group showed similar HM nutrient composition. Significant positive associations (r = 0.3–0.5) were found between maternal height, infant HCZ with HM energy, fat; maternal prepregnancy-weight, MUAC with retinol; maternal MUAC with crude protein.

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印度母亲母乳的营养成分:与母婴人体测量的关系
这项研究旨在确定印度母亲母乳(HM)的营养成分,并调查其与母婴人体测量指标的关系。母乳是婴儿最佳生长发育的理想营养来源。印度母亲的母乳成分数据很少,尤其是在长期哺乳期。研究人员招募了居住在印度德里的母婴二人组(50 人),包括两个哺乳期组(0-6 个月,26 人)和(7-12 个月,24 人)。测量了婴儿的身高、体重、体重指数(BMI)、MUAC 和头围,并与参考标准进行了比较。使用 MIRIS 分析仪、ICP-AES 和 HPLC 分析了 HM 中的宏量营养素和微量营养素。绘制了 HM 营养成分与母亲和婴儿人体测量值之间的相关图。母亲的平均体重指数分别为 19.6 ± 2.6(0-6 m)和 21.2 ± 3.7(7-12 m)kg/m2。约 26% 的母亲体重不足,28% 超重。在婴儿中,26%体重不足,18%消瘦,34%发育不良,10%超重。母乳的宏量营养成分与参考值相似(平均值 ± 标准偏差)。两个哺乳组的 HM 营养成分相似。在母亲身高、婴儿 HCZ 与 HM 能量、脂肪;母亲孕前体重、MUAC 与视黄醇;母亲 MUAC 与粗蛋白之间发现了显著的正相关(r = 0.3-0.5)。
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