Gough Ethan K, Moodie Erica Em, Prendergast Andrew J, Ntozini Robert, Moulton Lawrence H, Humphrey Jean H, Manges Amee R
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
Zvitambo Institute for Maternal Child Health Research, Harare, Zimbabwe.
Am J Clin Nutr. 2016 Dec;104(6):1616-1627. doi: 10.3945/ajcn.116.133538. Epub 2016 Nov 2.
Undernutrition in early life underlies 45% of child deaths globally. Stunting malnutrition (suboptimal linear growth) also has long-term negative effects on childhood development. Linear growth deficits accrue in the first 1000 d of life. Understanding the patterns and timing of linear growth faltering or recovery during this period is critical to inform interventions to improve infant nutritional status.
We aimed to identify the pattern and determinants of linear growth trajectories from birth through 24 mo of age in a cohort of Zimbabwean infants.
We performed a secondary analysis of longitudinal data from a subset of 3338 HIV-unexposed infants in the Zimbabwe Vitamin A for Mothers and Babies trial. We used k-means clustering for longitudinal data to identify linear growth trajectories and multinomial logistic regression to identify covariates that were associated with each trajectory group.
For the entire population, the mean length-for-age z score declined from -0.6 to -1.4 between birth and 24 mo of age. Within the population, 4 growth patterns were identified that were each characterized by worsening linear growth restriction but varied in the timing and severity of growth declines. In our multivariable model, 1-U increments in maternal height and education and infant birth weight and length were associated with greater relative odds of membership in the least-growth restricted groups (A and B) and reduced odds of membership in the more-growth restricted groups (C and D). Male infant sex was associated with reduced odds of membership in groups A and B but with increased odds of membership in groups C and D.
In this population, all children were experiencing growth restriction but differences in magnitude were influenced by maternal height and education and infant sex, birth weight, and birth length, which suggest that key determinants of linear growth may already be established by the time of birth. This trial was registered at clinicaltrials.gov as NCT00198718.
全球45%的儿童死亡是由生命早期营养不良所致。发育迟缓型营养不良(线性生长未达最佳状态)也会对儿童发育产生长期负面影响。线性生长不足在生命的前1000天逐渐累积。了解这一时期线性生长发育迟缓或恢复的模式和时间,对于指导改善婴儿营养状况的干预措施至关重要。
我们旨在确定一组津巴布韦婴儿从出生到24月龄的线性生长轨迹模式及其决定因素。
我们对津巴布韦母婴维生素A试验中3338名未感染艾滋病毒婴儿亚组的纵向数据进行了二次分析。我们使用k均值聚类分析纵向数据以确定线性生长轨迹,并使用多项逻辑回归分析来确定与每个轨迹组相关的协变量。
对于整个人群,年龄别身长z评分在出生至24月龄之间从-0.6降至-1.4。在该人群中,确定了4种生长模式,每种模式的特点都是线性生长受限加剧,但生长下降的时间和严重程度有所不同。在我们的多变量模型中,母亲身高、教育程度以及婴儿出生体重和身长每增加1个单位,属于生长受限最小组(A组和B组)的相对几率就更高,而属于生长受限更严重组(C组和D组)的几率则降低。男婴属于A组和B组的几率降低,但属于C组和D组的几率增加。
在这一人群中,所有儿童都存在生长受限情况,但程度差异受母亲身高、教育程度以及婴儿性别、出生体重和出生身长的影响,这表明线性生长的关键决定因素可能在出生时就已确定。该试验在clinicaltrials.gov上注册,注册号为NCT00198718。