Breast Milk Macronutrients and Child Growth and Neurodevelopment in a Lactation Cohort in Rural Bangladesh

IF 4.2 Q2 NUTRITION & DIETETICS
Current Developments in Nutrition Pub Date : 2026-10-01 Epub Date: 2026-09-16 DOI:10.1016/j.cdnut.2026.109531
Krysten North, Sophie Driker, Rasheda Khanam, Salahuddin Ahmed, Chloe Andrews, Mandy B Belfort, Sara Cherkerzian, Nabidul H Chowdhury, Tarik Hasan, Sayedur Rahman, Unmesha Roy Paladhi, Amy Lopez Esteban, Carmen Monthe-Dreze, Fahmida Tofail, Abdullah Baqui, Sarbattama Sen, Anne CC Lee
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Infant anthropometrics were obtained at birth, 3, 6, 12, and 24 mo; neurodevelopment was assessed at 24 mo using the Bayley Scales of Infant and Toddler Development-III. Macronutrient concentrations were measured using midinfrared spectroscopy. Associations with growth and neurodevelopment <em>z</em>-scores were estimated using mixed models and linear regression, adjusted for a priori confounders. Primary outcomes were length-for-age <em>z</em>-score (12 mo) and cognitive <em>z</em>-scores (24 mo) in relation to 2-mo protein concentration.</div></div><div>In this observational lactation cohort of 99 mother–infant dyads from Sylhet, Bangladesh, mothers provided hand-expressed breast milk samples at 2 and 5 mo postpartum. Infant anthropometrics were obtained at birth, 3, 6, 12, and 24 mo; neurodevelopment was assessed at 24 mo using the Bayley Scales of Infant and Toddler Development-III. Macronutrient concentrations were measured using midinfrared spectroscopy. Associations with growth and neurodevelopment <em>z</em>-scores were estimated using mixed models and linear regression, adjusted for a priori confounders. Primary outcomes were length-for-age <em>z</em>-score (12 mo) and cognitive <em>z</em>-scores (24 mo) in relation to 2-mo protein concentration.</div><div><h3>Results</h3><div>Breast milk samples were provided at 2 (<em>n</em> = 98) and 5 mo (<em>n</em> = 87). We found no significant associations between 2-mo protein and 12-mo length-for-age <em>z</em>-scores or 24-mo cognitive <em>z</em>-scores. Higher 2-mo fat (g/dL) was associated with lower weight-for-age <em>z</em>-scores at 3 mo [<em>b</em>: –0.12 (95% confidence interval (CI): –0.24, –0.005)] and lower head circumference-for-age <em>z</em>-scores at 3 [–0.20 (–0.32, –0.09)], 6 [–0.19 (–0.31, –0.08)], and 12 mo [–0.17 (–0.29,–0.06)]. Similarly, 2-mo energy (kcal/dL) was inversely associated with 3-mo weight-for-age <em>z</em>-scores [–0.01 (–0.03, –0.001)] and head circumference-for-age <em>z</em>-scores at 3 [–0.02 (–0.04, –0.01)], 6 [–0.02 (–0.03, –0.01)], and 12 mo [–0.02 (–0.03, –0.01)]. Higher 2-mo carbohydrate (g/dL) was associated with higher motor <em>z</em>-scores [1.08 (0.06, 2.09)], and higher 5-mo carbohydrate with higher cognitive <em>z</em>-scores [1.10 (0.15, 2.05)].</div></div><div>Breast milk samples were provided at 2 (<em>n</em> = 98) and 5 mo (<em>n</em> = 87). We found no significant associations between 2-mo protein and 12-mo length-for-age <em>z</em>-scores or 24-mo cognitive <em>z</em>-scores. Higher 2-mo fat (g/dL) was associated with lower weight-for-age <em>z</em>-scores at 3 mo [<em>b</em>: –0.12 (95% confidence interval (CI): –0.24, –0.005)] and lower head circumference-for-age <em>z</em>-scores at 3 [–0.20 (–0.32, –0.09)], 6 [–0.19 (–0.31, –0.08)], and 12 mo [–0.17 (–0.29,–0.06)]. Similarly, 2-mo energy (kcal/dL) was inversely associated with 3-mo weight-for-age <em>z</em>-scores [–0.01 (–0.03, –0.001)] and head circumference-for-age <em>z</em>-scores at 3 [–0.02 (–0.04, –0.01)], 6 [–0.02 (–0.03, –0.01)], and 12 mo [–0.02 (–0.03, –0.01)]. Higher 2-mo carbohydrate (g/dL) was associated with higher motor <em>z</em>-scores [1.08 (0.06, 2.09)], and higher 5-mo carbohydrate with higher cognitive <em>z</em>-scores [1.10 (0.15, 2.05)].</div><div><h3>Conclusions</h3><div>Protein concentrations were not associated with linear or cognitive outcomes in this cohort. Our findings suggest that future studies targeting infant outcomes may optimally be designed to account for factors beyond macronutrient concentration, such as daily milk volume intake, that may impact infant growth and development.</div></div><div>Protein concentrations were not associated with linear or cognitive outcomes in this cohort. 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引用次数: 0

Abstract

Background

Limited data exist on the relationship between breast milk macronutrient/energy concentrations and child outcomes in settings with high maternal undernutrition.
Limited data exist on the relationship between breast milk macronutrient/energy concentrations and child outcomes in settings with high maternal undernutrition.

Objectives

This study aims to determine associations of breast milk macronutrient (protein, fat, carbohydrate) and energy concentrations with child growth and neurodevelopment.
This study aims to determine associations of breast milk macronutrient (protein, fat, carbohydrate) and energy concentrations with child growth and neurodevelopment.

Methods

In this observational lactation cohort of 99 mother–infant dyads from Sylhet, Bangladesh, mothers provided hand-expressed breast milk samples at 2 and 5 mo postpartum. Infant anthropometrics were obtained at birth, 3, 6, 12, and 24 mo; neurodevelopment was assessed at 24 mo using the Bayley Scales of Infant and Toddler Development-III. Macronutrient concentrations were measured using midinfrared spectroscopy. Associations with growth and neurodevelopment z-scores were estimated using mixed models and linear regression, adjusted for a priori confounders. Primary outcomes were length-for-age z-score (12 mo) and cognitive z-scores (24 mo) in relation to 2-mo protein concentration.
In this observational lactation cohort of 99 mother–infant dyads from Sylhet, Bangladesh, mothers provided hand-expressed breast milk samples at 2 and 5 mo postpartum. Infant anthropometrics were obtained at birth, 3, 6, 12, and 24 mo; neurodevelopment was assessed at 24 mo using the Bayley Scales of Infant and Toddler Development-III. Macronutrient concentrations were measured using midinfrared spectroscopy. Associations with growth and neurodevelopment z-scores were estimated using mixed models and linear regression, adjusted for a priori confounders. Primary outcomes were length-for-age z-score (12 mo) and cognitive z-scores (24 mo) in relation to 2-mo protein concentration.

Results

Breast milk samples were provided at 2 (n = 98) and 5 mo (n = 87). We found no significant associations between 2-mo protein and 12-mo length-for-age z-scores or 24-mo cognitive z-scores. Higher 2-mo fat (g/dL) was associated with lower weight-for-age z-scores at 3 mo [b: –0.12 (95% confidence interval (CI): –0.24, –0.005)] and lower head circumference-for-age z-scores at 3 [–0.20 (–0.32, –0.09)], 6 [–0.19 (–0.31, –0.08)], and 12 mo [–0.17 (–0.29,–0.06)]. Similarly, 2-mo energy (kcal/dL) was inversely associated with 3-mo weight-for-age z-scores [–0.01 (–0.03, –0.001)] and head circumference-for-age z-scores at 3 [–0.02 (–0.04, –0.01)], 6 [–0.02 (–0.03, –0.01)], and 12 mo [–0.02 (–0.03, –0.01)]. Higher 2-mo carbohydrate (g/dL) was associated with higher motor z-scores [1.08 (0.06, 2.09)], and higher 5-mo carbohydrate with higher cognitive z-scores [1.10 (0.15, 2.05)].
Breast milk samples were provided at 2 (n = 98) and 5 mo (n = 87). We found no significant associations between 2-mo protein and 12-mo length-for-age z-scores or 24-mo cognitive z-scores. Higher 2-mo fat (g/dL) was associated with lower weight-for-age z-scores at 3 mo [b: –0.12 (95% confidence interval (CI): –0.24, –0.005)] and lower head circumference-for-age z-scores at 3 [–0.20 (–0.32, –0.09)], 6 [–0.19 (–0.31, –0.08)], and 12 mo [–0.17 (–0.29,–0.06)]. Similarly, 2-mo energy (kcal/dL) was inversely associated with 3-mo weight-for-age z-scores [–0.01 (–0.03, –0.001)] and head circumference-for-age z-scores at 3 [–0.02 (–0.04, –0.01)], 6 [–0.02 (–0.03, –0.01)], and 12 mo [–0.02 (–0.03, –0.01)]. Higher 2-mo carbohydrate (g/dL) was associated with higher motor z-scores [1.08 (0.06, 2.09)], and higher 5-mo carbohydrate with higher cognitive z-scores [1.10 (0.15, 2.05)].

Conclusions

Protein concentrations were not associated with linear or cognitive outcomes in this cohort. Our findings suggest that future studies targeting infant outcomes may optimally be designed to account for factors beyond macronutrient concentration, such as daily milk volume intake, that may impact infant growth and development.
Protein concentrations were not associated with linear or cognitive outcomes in this cohort. Our findings suggest that future studies targeting infant outcomes may optimally be designed to account for factors beyond macronutrient concentration, such as daily milk volume intake, that may impact infant growth and development.
孟加拉国农村哺乳队列中母乳宏量营养素与儿童生长和神经发育
背景:在产妇营养严重不足的情况下,关于母乳宏量营养素/能量浓度与儿童结局之间关系的数据有限。在产妇营养严重不足的情况下,关于母乳宏量营养素/能量浓度与儿童结局之间关系的数据有限。目的本研究旨在确定母乳中大量营养素(蛋白质、脂肪、碳水化合物)和能量浓度与儿童生长和神经发育的关系。本研究旨在确定母乳中常量营养素(蛋白质、脂肪、碳水化合物)和能量浓度与儿童生长和神经发育的关系。方法在孟加拉国Sylhet的99对母子哺乳队列中,母亲在产后2个月和5个月提供了手工表达的母乳样本。在婴儿出生、3、6、12和24个月时进行人体测量;在24个月时使用Bayley婴幼儿发育量表- iii评估神经发育。采用中红外光谱法测定常量营养素浓度。使用混合模型和线性回归估计与生长和神经发育z分数的关联,并根据先验混杂因素进行调整。主要结果是与2个月蛋白质浓度相关的年龄长度z分数(12个月)和认知z分数(24个月)。在这项来自孟加拉国Sylhet的99对母婴哺乳队列观察中,母亲在产后2个月和5个月提供了手工表达的母乳样本。在婴儿出生、3、6、12和24个月时进行人体测量;在24个月时使用Bayley婴幼儿发育量表- iii评估神经发育。采用中红外光谱法测定常量营养素浓度。使用混合模型和线性回归估计与生长和神经发育z分数的关联,并根据先验混杂因素进行调整。主要结果是与2个月蛋白质浓度相关的年龄长度z分数(12个月)和认知z分数(24个月)。结果分别在2月(n = 98)和5月(n = 87)时提供母乳样本。我们发现2个月的蛋白质和12个月的年龄长度z分数或24个月的认知z分数之间没有显著的关联。较高的2个月脂肪(g/dL)与3个月时较低的年龄体重z-分数相关[b: -0.12(95%可信区间(CI): -0.24, -0.005)], 3[-0.20(-0.32, -0.09)], 6[-0.19(-0.31, -0.08)]和12个月时较低的头围年龄z-分数相关[-0.17(-0.29,-0.06)]。同样,2个月能量(千卡/分升)与3个月年龄体重z分数[-0.01(-0.03,-0.001)]和头围年龄z分数呈负相关,分别为3[-0.02(-0.04,-0.01)],6[-0.02(-0.03,-0.01)]和12个月[-0.02(-0.03,-0.01)]。较高的2个月碳水化合物(g/dL)与较高的运动z-分数相关[1.08(0.06,2.09)],较高的5个月碳水化合物与较高的认知z-分数相关[1.10(0.15,2.05)]。母乳样本提供2 (n = 98)和5 (n = 87)。我们发现2个月的蛋白质和12个月的年龄长度z分数或24个月的认知z分数之间没有显著的关联。较高的2个月脂肪(g/dL)与3个月时较低的年龄体重z-分数相关[b: -0.12(95%可信区间(CI): -0.24, -0.005)], 3[-0.20(-0.32, -0.09)], 6[-0.19(-0.31, -0.08)]和12个月时较低的头围年龄z-分数相关[-0.17(-0.29,-0.06)]。同样,2个月能量(千卡/分升)与3个月年龄体重z分数[-0.01(-0.03,-0.001)]和头围年龄z分数呈负相关,分别为3[-0.02(-0.04,-0.01)],6[-0.02(-0.03,-0.01)]和12个月[-0.02(-0.03,-0.01)]。较高的2个月碳水化合物(g/dL)与较高的运动z-分数相关[1.08(0.06,2.09)],较高的5个月碳水化合物与较高的认知z-分数相关[1.10(0.15,2.05)]。结论:在该队列中,蛋白质浓度与线性或认知结果无关。我们的研究结果表明,未来针对婴儿结果的研究可能会优化设计,以考虑可能影响婴儿生长发育的常量营养素浓度以外的因素,如每日牛奶摄入量。在该队列中,蛋白质浓度与线性或认知结果无关。我们的研究结果表明,未来针对婴儿结果的研究可能会优化设计,以考虑可能影响婴儿生长发育的常量营养素浓度以外的因素,如每日牛奶摄入量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current Developments in Nutrition
Current Developments in Nutrition NUTRITION & DIETETICS-
CiteScore
5.30
自引率
4.20%
发文量
1327
审稿时长
8 weeks
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