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儿童发育迟缓始于宫内:乌干达婴儿的生长轨迹和决定因素。

Child stunting starts in utero: Growth trajectories and determinants in Ugandan infants.

机构信息

Feed the Future Innovation Lab, Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA.

Feed the Future Innovation Lab for Nutrition, Boston, Massachusetts, USA.

出版信息

Matern Child Nutr. 2022 Jul;18(3):e13359. doi: 10.1111/mcn.13359. Epub 2022 Apr 29.

Abstract

Childhood stunting remains a public health burden worldwide. Although many studies have examined early life and in-utero risk factors; most have been observational and have used analytic techniques that make inferences limited to population means, thereby obscuring important within-group variations. This study addressed that important gap. Using data from a birth cohort of Ugandan infants (n = 4528), we applied group-based trajectory modelling to assess diverse patterns of growth among children from birth to 1-year old. A multinomial regression model was conducted to understand the relationship between risk factors and observed patterns across groups. We found that the onset of stunting occurred before birth and followed four distinct growth patterns: chronically stunted (Group 1), recovery (Group 2), borderline stunted (Group 3) and normal (Group 4). The average length-for-age z-score (LAZ) at birth was -2.6, -3.9, -0.6 and 0.5 for Groups 1-4, respectively. Although both Groups 1 and 2 were stunted at birth, stunting persisted in Group 1 while children in Group 2 recovered by the fourth month. Group 3 exhibited mild stunting while Group 4 was normal. Wasting and underweight were observed in all groups, with the highest prevalence of underweight in Group 1. Wasting gradually increased among children born already stunted (Groups 1 and 2). This showed the importance of distinguishing children by their growth patterns rather than aggregating them and only comparing population averages against global growth standards. The design of nutrition interventions should consider the differential factors and potential for growth gains relative to different risks within each group.

摘要

儿童发育迟缓仍然是全球公共卫生的负担。虽然许多研究都检查了生命早期和子宫内的风险因素,但大多数都是观察性的,并且使用了分析技术,这些技术只能对人口平均值进行推断,从而掩盖了重要的组内差异。本研究解决了这一重要差距。我们使用乌干达婴儿出生队列的数据(n=4528),应用基于群组的轨迹建模来评估儿童从出生到 1 岁的不同生长模式。我们进行了多变量回归模型,以了解风险因素与群组间观察到的模式之间的关系。我们发现,发育迟缓的发生始于出生前,并呈现出四种不同的生长模式:慢性发育迟缓(第 1 组)、恢复(第 2 组)、边缘发育迟缓(第 3 组)和正常(第 4 组)。第 1-4 组的平均年龄别身长 z 评分(LAZ)在出生时分别为-2.6、-3.9、-0.6 和 0.5。虽然第 1 组和第 2 组在出生时都发育迟缓,但第 1 组的发育迟缓持续存在,而第 2 组的儿童在第四个月时恢复。第 3 组表现出轻度发育迟缓,而第 4 组正常。所有组均观察到消瘦和体重不足,第 1 组的体重不足发生率最高。消瘦在出生时已经发育迟缓的儿童中(第 1 组和第 2 组)逐渐增加。这表明区分儿童的生长模式而不是将他们聚集在一起并仅将人口平均值与全球生长标准进行比较更为重要。营养干预措施的设计应考虑到每个组内的不同风险因素和相对于不同风险的生长潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbfd/9218325/db9551df924d/MCN-18-e13359-g003.jpg

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