在7至10个月的婴儿中估计母乳摄入量的方程:来自横截面研究的预测模型
Jillian J Haszard1, Anne-Louise M Heath2, Rachael W Taylor3
1Biostatistics Center, University of Otago, Dunedin, New Zealand.
The American journal of clinical nutrition
|June 18, 2024
概括
通过新的方程来估计母乳摄入量,提高了准确的婴儿营养评估. 这些方法比现有技术对婴儿营养的大规模研究提供了更高的精度.
科学领域:
- 儿童营养学 儿童营养学
- 婴儿健康评估 婴儿健康评估
- 饮食摄入量测量 饮食摄入量测量
背景情况:
- 准确测量婴儿母乳摄入量是一项挑战.
- 目前的方法要么不适合大型研究,要么不考虑个体摄入量的变化.
研究的目的:
- 使用简单的测量方法,开发人乳摄入量的预测方程.
- 根据黄金标准验证现有方法 (剂量-母稳定同位素技术).
主要方法:
- 在157名婴儿 (7-10个月) 中使用了剂量对母亲稳定同位素技术.
- 通过拉索回归开发了使用问卷,人体测量和饮食数据的预测方程.
- 使用布兰德-阿尔特曼图表和ICC.评估现有方法 (FITS,ALSPAC) 的有效性.
主要成果:
- 新的方程式 (模型1和2) 显示与测量摄入量 (ICC 0.74和0.83) 有很强的一致性.
- 现有的方法 (FITS,ALSPAC) 的一致性较低 (ICC 0.32 和 0.41).
- 婴儿年龄,BMI,母乳养频率和补充食物摄入量预测了母乳摄入量.
结论:
- 人类牛奶摄入量水平计算为7-10个月大的婴儿估计摄入量提供了显著的改进.
- 这些方程利用了通常收集的营养调查数据.
- 建议进行进一步的外部验证,但方程为这个年龄组提供可靠的估计.
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