Pre-, Perinatal, and Parental Predictors of Body Mass Index Trajectory Milestones.

Pre-, Perinatal, and Parental Predictors of Body Mass Index Trajectory Milestones.
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DOI:
10.1016/j.jpeds.2018.05.041
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发表时间:
2018-10
期刊:
The Journal of pediatrics
影响因子:
--
通讯作者:
Oken E
Oken E
中科院分区:
其他
文献类型:
--
作者:
Aris IM;Rifas-Shiman SL;Li LJ;Kleinman K;Coull BA;Gold DR;Hivert MF;Kramer MS;Oken E

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评估产前、围产期和父母因素与体重指数(BMI)峰值和反弹时年龄和幅度的关系。在Viva项目中,我们选取了1681名拥有从出生到童年中期BMI数据的儿童,使用自然三次样条函数的混合效应模型拟合了个体BMI轨迹,并估计了婴儿期高峰和幼儿期反弹的年龄和幅度。我们使用逐步多变量回归来确定1354名(63.6%)具有可估计轨迹里程碑的儿童的峰值和反弹的预测因子。BMI峰值年龄均值(SD)为8.4(2.7)个月,反弹年龄均值(SD)为59.8(19.6)个月,峰值年龄均值(SD)为18.0 (1.4)kg/m2,反弹年龄均值(SD)为15.9 (1.2)kg/m2。女孩的峰值年龄比男孩晚,反弹年龄比男孩早,峰值和反弹幅度比男孩小。母亲孤立性高血糖[相对于正常血糖:β 0.7个月(95%CI 0.2, 1.2)]和先兆子痫[相对于正常血压:1.6个月(0.8,2.4)]与较晚的峰值有关,糖耐量受损[相对于正常血糖:- 0.5kg/m2(- 0.9, - 0.1)]与较低的峰值有关。孕妇妊娠早期体重增加、怀孕期间吸烟、不哺乳、父母肥胖和没有接受过大学教育与反弹时较高的BMI有关。我们已经确定了婴儿时期BMI峰值和儿童时期反弹的可修改的产前和父母预测因子。解决这些因素的早期生活干预可能有效地改变BMI峰值和反弹,并有可能预防以后的肥胖。
To assess associations of pre-, perinatal and parental factors with age and magnitude at body mass index (BMI) peak and rebound. Among 1681 children with BMI data from birth to mid-childhood in Project Viva, we fitted individual BMI trajectories using mixed-effect models with natural cubic spline functions, and estimated age and magnitude at peak in infancy and rebound in early childhood. We used stepwise multivariable regression to identify predictors of peak and rebound in the 1354 (63.6%) children with estimable trajectory milestones. The mean (standard deviation, SD) of age at BMI peak was 8.4 (2.7) months and at rebound was 59.8 (19.6) months, and the mean (SD) of magnitude at peak was 18.0 (1.4) kg/m2 and at rebound was 15.9 (1.2) kg/m2. Girls had a later age at peak, earlier age at rebound, and lower magnitudes at peak and rebound than boys. Maternal isolated hyperglycemia [vs normoglycemia: β 0.7 months (95%CI 0.2, 1.2)] and preeclampsia [vs normal blood pressure: 1.6 months (0.8, 2.4)] were associated with a later peak, and impaired glucose tolerance [vs normoglycemia: −0.5kg/m2 (−0.9, −0.1)] was associated with a lower magnitude at peak. Higher maternal first-trimester weight gain, smoking during pregnancy, no breastfeeding, parental obesity and no university education were associated with higher BMI at rebound. We have identified modifiable prenatal and parental predictors of BMI peak in infancy and rebound in childhood. Early-life interventions that address these factors may be effective in changing BMI peak and rebound, and potentially preventing later obesity.
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