Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
BMJ Open. 2020 Jun 3;10(6):e033695. doi: 10.1136/bmjopen-2019-033695.
Infant anthropometric growth varies across socioeconomic factors, including maternal education and income, and may serve as an indicator of environmental influences in early life with long-term health consequences. Previous research has identified sociodemographic gradients in growth with a focus on the first year and beyond, but estimates are sparse for growth before 6 months. Thus, our objective was to examine the relationship between sociodemographic factors and infant growth patterns between birth and 5 months of age.
Prospective cohort study.
Low-income to middle-income neighbourhoods in Santiago, Chile (1991-1996).
1412 participants from a randomised iron-deficiency anaemia preventive trial in healthy infants.
Longitudinal anthropometrics including monthly weight (kg), length (cm) and weight-for-length (WFL) values. For each measure, we estimated three individual-level growth parameters (size, timing and velocity) from SuperImposition by Translation and Rotation models. Size and timing changes represent vertical and horizontal growth curve shifts, respectively, and velocity change represents growth rate shifts. We estimated the linear association between growth parameters and gestational age, maternal age, education and socioeconomic position (SEP).
Lower SEP was associated with a slower linear (length) velocity growth parameter (-0.22, 95% CI -0.31 to -0.13)-outcome units are per cent change in velocity from the average growth curve. Lower SEP was associated with later WFL growth timing as demonstrated through the tempo growth parameter for females (0.25, 95% CI 0.05 to 0.42)-outcome units are shifts in days from the average growth curve. We found no evidence of associations between SEP and the weight size, timing or velocity growth rate parameters.
Previous research on growth in older infants and children shows associations between lower SEP with slower length velocity. We found evidence supporting this association in the first 5 months of life, which may inform age-specific prevention efforts aimed at infant length growth.
婴儿的人体测量生长因社会经济因素而异,包括母亲的教育和收入,并且可能作为生命早期环境影响的指标,对长期健康产生影响。先前的研究已经确定了生长与社会人口统计学梯度的关系,重点是第一年及以后,但在 6 个月前的生长估计很少。因此,我们的目的是研究社会人口因素与出生至 5 个月龄婴儿生长模式之间的关系。
前瞻性队列研究。
智利圣地亚哥的低收入到中等收入社区(1991-1996 年)。
来自健康婴儿缺铁性贫血预防试验的 1412 名参与者。
包括每月体重(kg)、身长(cm)和体重身长比(WFL)值的纵向人体测量。对于每个指标,我们使用平移和旋转模型的叠加法估计了三个个体水平的生长参数(大小、时间和速度)。大小和时间变化分别代表垂直和水平生长曲线的变化,而速度变化代表生长率的变化。我们估计了生长参数与胎龄、母亲年龄、教育和社会经济地位(SEP)之间的线性关联。
较低的 SEP 与线性(身长)速度生长参数较慢相关(-0.22,95%置信区间-0.31 至-0.13)-结果单位是从平均生长曲线的速度变化百分比。较低的 SEP 与 WFL 生长时间较晚有关,这表现在女性的 tempo 生长参数上(0.25,95%置信区间 0.05 至 0.42)-结果单位是从平均生长曲线的天数变化。我们没有发现 SEP 与体重大小、时间或速度生长率参数之间存在关联的证据。
先前关于年龄较大婴儿和儿童生长的研究表明,较低的 SEP 与生长速度较慢有关。我们在生命的前 5 个月发现了支持这种关联的证据,这可能为针对婴儿身长生长的特定年龄的预防措施提供信息。