Slining M M, Herring A H, Popkin B M, Mayer-Davis E J, Adair L S
1 Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA.
2 Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA.
J Dev Orig Health Dis. 2013 Feb;4(1):56-68. doi: 10.1017/S2040174412000554.
The dynamic aspect of early life growth is not fully captured by typical analyses, which focus on one specific time period. To better understand how infant and young child growth relate to the development of adult body composition, the authors characterized body mass index (BMI) trajectories using latent class growth analysis (LCGA) and evaluated their association with adult body composition. Data are from the Cebu Longitudinal Health and Nutrition Survey, which followed a birth cohort to age 22 years (n = 1749). In both males and females, LCGA identified seven subgroups of respondents with similar BMI trajectories from 0 to 24 months (assessed with bimonthly anthropometrics). Trajectory groups were compared with conventional approaches: (1) accelerated growth between two time points (0-4 months), (2) continuous BMI gain between two points (0-4 months and 0-24 months) and (3) BMI measured at one time point (24 months) as predictors of young adult body composition measures. The seven trajectory groups were distinguished by age-specific differences in tempo and timing of BMI gain in infancy. Infant BMI trajectories were better than accelerated BMI gain between 0 and 4 months at predicting young adult body composition. After controlling for BMI at age 2 years, infant BMI trajectories still explained variation in adult body composition. Using unique longitudinal data and methods, we find that distinct infant BMI trajectories have long-term implications for the development of body composition.
早期生命成长的动态方面并未被专注于一个特定时间段的典型分析完全捕捉到。为了更好地理解婴幼儿生长与成人体成分发育之间的关系，作者使用潜在类别增长分析（LCGA）对体重指数（BMI）轨迹进行了特征描述，并评估了它们与成人体成分的关联。数据来自宿务纵向健康与营养调查，该调查跟踪了一个出生队列直至22岁（n = 1749）。在男性和女性中，LCGA均识别出了七个受访者亚组，这些亚组在0至24个月期间（通过每两个月一次的人体测量学评估）具有相似的BMI轨迹。将轨迹组与传统方法进行了比较：（1）两个时间点（0至4个月）之间的加速生长，（2）两个时间点（0至4个月和0至24个月）之间BMI的持续增加，以及（3）在一个时间点（24个月）测量的BMI作为年轻成人体成分测量指标的预测因子。这七个轨迹组的区别在于婴儿期BMI增加的速度和时间的年龄特异性差异。婴儿期BMI轨迹在预测年轻成人体成分方面优于0至4个月之间的BMI加速增加。在控制了2岁时的BMI后，婴儿期BMI轨迹仍能解释成人体成分的变化。通过使用独特的纵向数据和方法，我们发现不同的婴儿期BMI轨迹对体成分的发育具有长期影响。
