摘要
目的使用广义可加混合模型,分析婴幼儿体重增长的影响因素,探讨广义可加混合模型在婴幼儿生长发育研究中的应用。方法采用出生队列随访资料,通过R语言软件mgcv包拟合广义可加混合模型。结果本研究共纳入儿童819名,儿童体重的影响因素包括:月龄(F=516.17,P<0.001),出生体重(F=13.19,P<0.001),辅食添加频率得分(F=18.10,P<0.001),母亲产后体重(F=30.55,P<0.001),配方奶摄入量(F=11.28,P<0.001),月龄×配方奶摄入量(F=6.47,P<0.001),月龄×辅食添加频率得分(F=72.70,P<0.0001),月龄×睡眠总时长(F=2.63,P<0.05)。结论广义可加混合模型拟合效果较好,可探测变量间的复杂关系,适用于婴幼儿生长发育研究。
Objective To investigate determinants of infant weight gain and explore the application in the researches of infant growth using the generalized additive mixed model.Methods We analyzed the follow-up data of birth cohort and fit generalize additive mixed model through the mgcv package in the R software.Results Factors associated with infant weight gain were as follows:month age(F=516.17,P<0.001),birth weight(F=13.19,P<0.001),complementary feeding frequency(F=18.10,P<0.001),maternal postpartum weight(F=30.55,P<0.001),formula consumption(F=11.28,P<0.001),(month age)×(formula consumption)(F=6.47,P<0.001),(month age)×(complementary feeding frequency)(F=72.70,P<0.0001),(month age)×(sleep duration)(F=2.63,P<0.05).Conclusion The generalized additive mixed model was available for the researches of infant growth because it could detect the complex relationship between variables.
作者
杨帆
程港
沙婷婷
高晓
田倩伶
吴霞玲
吴夕红
唐偲
谢群辉
颜艳
Yang Fan;Cheng Gang;Sha Tingting(School of Public Health,Central South University(410078),Changsha)
出处
《中国卫生统计》
CSCD
北大核心
2020年第2期186-189,共4页
Chinese Journal of Health Statistics
基金
国家自然科学基金项目(81973153
81673276
81373101)。