Wright Melecia, Sotres-Alvarez Daniela, Mendez Michelle A, Adair Linda
1Department of Nutrition,University of North Carolina at Chapel Hill,Chapel Hill,NC 27599,USA.
2Department of Biostatistics,University of North Carolina at Chapel Hill,Chapel Hill,NC 27599,USA.
Br J Nutr. 2017 Mar;117(5):750-758. doi: 10.1017/S0007114517000502. Epub 2017 Mar 28.
No study has analysed how protein intake from early childhood to young adulthood relate to adult BMI in a single cohort. To estimate the association of protein intake at 2, 11, 15, 19 and 22 years with age- and sex-standardised BMI at 22 years (early adulthood), we used linear regression models with dietary and anthropometric data from a Filipino birth cohort (1985-2005, n 2586). We used latent growth curve analysis to identify trajectories of protein intake relative to age-specific recommended daily allowance (intake in g/kg body weight) from 2 to 22 years, then related trajectory membership to early adulthood BMI using linear regression models. Lean mass and fat mass were secondary outcomes. Regression models included socioeconomic, dietary and anthropometric confounders from early life and adulthood. Protein intake relative to needs at age 2 years was positively associated with BMI and lean mass at age 22 years, but intakes at ages 11, 15 and 22 years were inversely associated with early adulthood BMI. Individuals were classified into four mutually exclusive trajectories: (i) normal consumers (referent trajectory, 58 % of cohort), (ii) high protein consumers in infancy (20 %), (iii) usually high consumers (18 %) and (iv) always high consumers (5 %). Compared with the normal consumers, 'usually high' consumption was inversely associated with BMI, lean mass and fat mass at age 22 years whereas 'always high' consumption was inversely associated with male lean mass in males. Proximal protein intakes were more important contributors to early adult BMI relative to early-childhood protein intake; protein intake history was differentially associated with adulthood body size.
尚无研究分析从幼儿期到青年期的蛋白质摄入量与单个队列中成人BMI之间的关系。为了估计2岁、11岁、15岁、19岁和22岁时的蛋白质摄入量与22岁(青年期)时年龄和性别标准化BMI之间的关联,我们使用了线性回归模型,数据来自菲律宾出生队列(1985 - 2005年,n = 2586)的饮食和人体测量数据。我们使用潜在生长曲线分析来确定2至22岁期间相对于特定年龄推荐每日摄入量(以克/千克体重计的摄入量)的蛋白质摄入轨迹,然后使用线性回归模型将轨迹类别与青年期BMI相关联。瘦体重和脂肪量是次要结果。回归模型包括来自生命早期和成年期的社会经济、饮食和人体测量混杂因素。2岁时相对于需求的蛋白质摄入量与22岁时的BMI和瘦体重呈正相关,但11岁、15岁和22岁时的摄入量与青年期BMI呈负相关。个体被分为四个相互排斥的轨迹:(i)正常消费者(参照轨迹,占队列的58%),(ii)婴儿期高蛋白消费者(20%),(iii)通常高蛋白消费者(18%)和(iv)一直高蛋白消费者(5%)。与正常消费者相比,“通常高蛋白”消费与22岁时的BMI、瘦体重和脂肪量呈负相关,而“一直高蛋白”消费与男性的男性瘦体重呈负相关。相对于幼儿期蛋白质摄入量,近期蛋白质摄入量对青年期BMI的贡献更大;蛋白质摄入历史与成年期体型存在差异关联。