Department of Anthropology, Yale University, New Haven, Connecticut, United States of America.
School of Nursing, National University of Samoa, Apia, Samoa.
PLoS One. 2024 May 10;19(5):e0292997. doi: 10.1371/journal.pone.0292997. eCollection 2024.
Current research suggests that energy transfer through human milk influences infant nutritional development and initiates metabolic programming, influencing eating patterns into adulthood. To date, this research has predominantly been conducted among women in high income settings and/or among undernourished women. We will investigate the relationship between maternal body composition, metabolic hormones in human milk, and infant satiety to explore mechanisms of developmental satiety programming and implications for early infant growth and body composition in Samoans; a population at high risk and prevalence for overweight and obesity. Our aims are (1) to examine how maternal body composition influences metabolic hormone transfer from mother to infant through human milk, and (2) to examine the influences of maternal metabolic hormone transfer and infant feeding patterns on early infant growth and satiety.
We will examine temporal changes in hormone transfers to infants through human milk in a prospective longitudinal cohort of n = 80 Samoan mother-infant dyads. Data will be collected at three time points (1, 3, & 4 months postpartum). At each study visit we will collect human milk and fingerpick blood samples from breastfeeding mother-infant dyads to measure the hormones leptin, ghrelin, and adiponectin. Additionally, we will obtain body composition measurements from the dyad, observe breastfeeding behavior, conduct semi-structured interviews, and use questionnaires to document infant hunger and feeding cues and satiety responsiveness. Descriptive statistics, univariate and multivariate analyses will be conducted to address each aim.
This research is designed to advance our understanding of variation in the developmental programming of satiety and implications for early infant growth and body composition. The use of a prospective longitudinal cohort alongside data collection that utilizes a mixed methods approach will allow us to capture a more accurate representation on both biological and cultural variables at play in a population at high risk of overweight and obesity.
目前的研究表明,母乳中的能量传递会影响婴儿的营养发育,并启动代谢编程,从而影响成年后的饮食习惯。迄今为止,这项研究主要在高收入环境中的女性中进行,或者在营养不良的女性中进行。我们将研究母体成分、母乳中的代谢激素与婴儿饱腹感之间的关系,以探索发育性饱腹感编程的机制及其对萨摩亚婴儿早期生长和身体成分的影响;萨摩亚人群超重和肥胖的风险和流行率都很高。我们的目标是:(1)研究母体成分如何通过母乳影响代谢激素从母体向婴儿的传递;(2)研究母体代谢激素传递和婴儿喂养模式对婴儿早期生长和饱腹感的影响。
我们将在一个前瞻性纵向萨摩亚母婴队列中研究 n = 80 例母婴对,以检测激素通过母乳向婴儿的传递随时间的变化。数据将在三个时间点(产后 1、3 和 4 个月)收集。在每次研究访问时,我们将从母乳喂养的母婴对中采集母乳和指血样本来测量激素瘦素、胃饥饿素和脂联素。此外,我们将从母婴对中获得身体成分测量值,观察母乳喂养行为,进行半结构化访谈,并使用问卷记录婴儿的饥饿和喂养提示以及饱腹感反应。将进行描述性统计、单变量和多变量分析来解决每个目标。
这项研究旨在深入了解饱腹感的发育编程的变异性及其对婴儿早期生长和身体成分的影响。前瞻性纵向队列研究与混合方法数据收集的结合使用,将使我们能够更准确地捕捉到高风险超重和肥胖人群中发挥作用的生物和文化变量。