北京大学学报（医学版）2024，Vol.56Issue(3)：390-396,7.DOI:10.19723/j.issn.1671-167X.2024.03.003
儿童早期体重指数轨迹与超重风险关联的前瞻性队列研究
A prospective cohort study of association between early childhood body mass index trajectories and the risk of overweight
摘要
Abstract
Objective:To compare the association between body mass index(BMI)trajectories deter-mined by different methods and the risk of overweight in early childhood in a prospective cohort study,and to identify children with higher risk of obesity during critical growth windows of early childhood.Methods:A total of 1 330 children from Peking University Birth Cohort in Tongzhou(PKUBC-T)were included in this study.The children were followed up at birth,1,3,6,9,12,18,and 24 months and 3 years of age to obtain their height/length and weight data,and calculate BMI Z-score.Latent class growth mixture modeling(GMM)and longitudinal data-based k-means clustering algorithm(KML)were used to determine the grouping of early childhood BMI trajectories from birth to 24 mouths.Linear regres-sion was used to compare the association between early childhood BMI trajectories determined by different methods and BMI Z-score at 3 years of age.The predictive performance of early childhood BMI trajecto-ries determined by different methods in predicting the risk of overweight(BMI Z-score＞1)at 3 years was compared using the average area under the curve(AUC)of 5-fold cross-validation in Logistic regres-sion models.Results:In the study population included in this research,the three-category trajectories determined using GMM were classified as low,medium,and high,accounting for 39.7％,54.1％,and 6.2％of the participants,respectively.The two-category trajectories determined using the KML method were classified as low and high,representing 50.3％and 49.7％of the participants,respectively.The three-category trajectories determined using the KML method were classified as low,medium,and high,accounting for 31.1％,47.4％,and 21.5％of the participants,respectively.There were certain differ-ences in the growth patterns reflected by the early childhood BMI trajectories determined using different methods.Linear regression analysis found that after adjusting for maternal ethnicity,educational level,delivery mode,parity,maternal age at delivery,gestational week at delivery,children's gender,and breastfeeding at 1 month of age,the association between the high trajectory group in the three-category trajectories determined by the KML method(manifested by a slightly higher BMI at birth,followed by rapid growth during infancy and a stable-high BMI until 24 months)and BMI Z-scores at 3 years was the strongest.Logistic regression analysis revealed that the three-category trajectory grouping determined by the KML method had the best predictive performance for the risk of overweight at 3 years.The results were basically consistent after additional adjustment for the high bound score of the child's diet balanced index,average daily physical activity time,and screen time.Conclusion:This study used different methods to identify early childhood BMI trajectories with varying characteristics,and found that the high trajectory group determined by the KML method was better able to identify children with a higher risk of overweight in early childhood.This provides scientific evidence for selecting appropriate methods to de-fine early childhood BMI trajectories.关键词
儿童早期/BMI轨迹/超重/前瞻性队列Key words
Early childhood/BMI trajectory/Overweight/Prospective cohort分类
医药卫生引用本文复制引用
岳芷涵,韩娜,鲍筝,吕瑾莨,周天一,计岳龙,王辉,刘珏,王海俊..儿童早期体重指数轨迹与超重风险关联的前瞻性队列研究[J].北京大学学报（医学版）,2024,56(3):390-396,7.基金项目
国家自然科学基金(81973053)Supported by the National Natural Science Foundation of China(81973053) （81973053）
