Predicting academic and cognitive outcomes from weight status trajectories during childhood
Predicting academic and cognitive outcomes from weight status trajectories during childhood
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DOI：
10.1038/ijo.2012.106
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发表时间：
2013-01-01
影响因子：
4.9
通讯作者：
Janosz, M.
中科院分区：
文献类型：
--
作者：
Bisset, S.;Fournier, M.;Janosz, M.
目的：确定儿童期体重指数（BMI）的轨迹，并描述其与随后的学术和认知outcome.Study设计：前瞻性队列：身高和体重测量，每年从4至7岁。混合回归方法将儿童分组为BMI轨迹（n = 1959名儿童; n = 5754 BMI测量值）。学术成果包括教师评定的进步和成就。认知结果由考夫曼儿童成套评估量表测量。学术和认知结果根据BMI轨迹回归，控制家庭和个人协变量。研究对象来自加拿大魁北克儿童发育纵向研究（1998年出生队列，n = 2120）。相对于健康体重，属于超重或低体重集群与认知和学术成果呈负相关。除低体重组外，这种关系在调整后的model.CONCLUSIONS：结果表明，在儿童期超重并不增加不良教育成果的风险。相反，体重过轻可能会增加认知结果较差的风险。需要对BMI随时间的发展进行进一步的基于组的轨迹建模（GBTM）以确认结果。International Journal of Obesity（2013）37，154-159; doi：10.1038/ijo.2012.106; 2012年7月17日在线发表
OBJECTIVE: To identify childhood body mass index (BMI) trajectories and to describe their association with subsequent academic and cognitive outcomes.STUDY DESIGN: Prospective cohort: Height and weight measured annually from 4 to 7 years. A mixture of regressions approach grouped children into BMI trajectories (n = 1959 children; n = 5754 BMI measures). Academic outcomes included teacher-rated progress and achievement. Cognitive outcomes measured by Kaufman's Assessment Battery for Children. Academic and cognitive outcomes were regressed according to BMI trajectories, controlling for family and individual covariates. Subjects drawn from Quebec Longitudinal Study of Child Development (Canada), a 1998 birth cohort (n = 2120).RESULTS: Four clusters of BMI trajectories emerged: two healthy weight groups, one overweight group and one low weight group. Relative to healthy weight, belonging to the overweight or low weight clusters was negatively associated with cognitive and academic outcomes. With the exception of the low weight cluster, this relationship was insignificant in the adjusted model.CONCLUSIONS: Results suggest that during childhood being overweight does not increase risk for poor educational outcomes. Instead, being underweight may the increase risk for poorer cognitive outcomes. Further group-based trajectory modeling (GBTM) for BMI development over time is needed to confirm results. International Journal of Obesity (2013) 37, 154-159; doi: 10.1038/ijo.2012.106; published online 17 July 2012