开发一个对新生儿和婴儿体脂质的预测模型
Daniele Marano1, Elissa de Oliveira Couto2, Yasmin Notarbartolo di Villarosa do Amaral1
1Clinical Research Unit, Instituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira (IFF), Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Nutrition (Burbank, Los Angeles County, Calif.)
|July 27, 2023
概括
新的预测模型使用简单的测量来估计新生儿和婴儿的身体脂肪量. 这些方程为营养监测提供了有价值的工具,特别是在没有先进的身体成分技术的地方.
科学领域:
- 儿科 儿科 儿科
- 营养科学 营养科学
- 生物识别仪表是如何使用的
背景情况:
- 准确的身体成分评估对于婴儿和新生儿的健康至关重要.
- 测量体脂质量的传统方法在某些临床环境中可能是复杂的或无法获得的.
研究的目的:
- 开发和验证用于估计新生儿和婴儿体脂肪量 (BFM) 的预测模型.
- 使用易于获得的人类测量数据,建立BFM估计的实用方程.
主要方法:
- 作为参考方法,利用空气位移囊造影.
- 采用分步回归分析,使用包括性别,体重,长度,皮厚度和周长测量的预测指标.
- 使用R平方,方差通胀因子和残余分析评估模型质量;评估与Bland-Altman地块的一致性.
主要成果:
- 开发了一个新生儿 (R2 = 70%) 和婴儿 (R2 = 84%) 的预测模型.
- 最终的模型包括体重,特定的人类测量 (新生儿PCT,婴儿TSF) 和性别.
结论:
- 建立了用于估计新生儿和婴儿体脂质量的实用方程.
- 这些模型可以帮助临床实践和资源有限的卫生单位的营养监测.
相关概念视频
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