1GENUD (Growth,Exercise,NUtrition and Development) Research Group, Faculty of Health Sciences,University of Zaragoza,Edificio del SAI,C/Pedro Cerbuna s/n,50009 Zaragoza,Spain.
3Institute for Public Health and Nursing Sciences (IPP),University of Bremen,Bremen,Germany.
Public Health Nutr. 2017 Dec;20(18):3257-3265. doi: 10.1017/S1368980017002361. Epub 2017 Sep 7.
To describe dietary patterns by applying cluster analysis and to describe the cluster memberships of European children over time and their association with body composition changes.
The analyses included k-means clustering based on the similarities between the relative frequencies of consumption of forty-three food items and regression models were fitted to assess the association between dietary patterns and body composition changes.
Primary schools and pre-schools of selected regions in Italy, Estonia, Cyprus, Belgium, Sweden, Hungary, Germany and Spain.
Participants (n 8341) in the baseline (2-9 years old) and follow-up (4-11 years old) surveys of the IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS) study.
Three persistent clusters were obtained at baseline and follow-up. Children consistently allocated to the 'processed' cluster presented increased BMI (β=0·050; 95 % CI 0·006, 0·093), increased waist circumference (β=0·071; 95 % CI 0·001, 0·141) and increased fat mass gain (β=0·052; 95 % CI 0·014, 0·090) over time v. children allocated to the 'healthy' cluster. Being in the 'processed'-'sweet' cluster combination was also linked to increased BMI (β=0·079; 95 % CI 0·015, 0·143), increased waist circumference (β=0·172; 95 % CI 0·069, 0·275) and increased fat mass gain (β=0·076; 95 % CI 0·019, 0·133) over time v. the 'healthy' cluster.
Children consistently showing a processed dietary pattern or changing from a processed pattern to a sweet pattern presented the most unfavourable changes in fat mass and abdominal fat. These findings support the need to promote overall healthy dietary habits in obesity prevention and health promotion programmes targeting children.
通过应用聚类分析描述饮食模式,并描述欧洲儿童随时间的聚类成员身份及其与身体成分变化的关系。
该分析基于 43 种食物相对摄入频率之间的相似性进行 k-均值聚类,并拟合回归模型以评估饮食模式与身体成分变化之间的关联。
意大利、爱沙尼亚、塞浦路斯、比利时、瑞典、匈牙利、德国和西班牙选定地区的小学和学前学校。
IDEFICS(儿童和婴儿饮食和生活方式诱导健康效应的识别和预防)研究的基线(2-9 岁)和随访(4-11 岁)调查中的参与者(n=8341)。
在基线和随访时均获得了三个持久的聚类。始终被分配到“加工”类别的儿童的 BMI(β=0·050;95%CI 0·006,0·093)、腰围(β=0·071;95%CI 0·001,0·141)和体脂肪增加(β=0·052;95%CI 0·014,0·090)随着时间的推移而增加,而被分配到“健康”类别的儿童则相反。处于“加工”-“甜食”聚类组合的儿童也与 BMI(β=0·079;95%CI 0·015,0·143)、腰围(β=0·172;95%CI 0·069,0·275)和体脂肪增加(β=0·076;95%CI 0·019,0·133)的增加有关,而与“健康”类别的儿童相比,随着时间的推移,体脂肪和腹部脂肪的变化最不利。
始终表现出加工饮食模式或从加工模式转变为甜食模式的儿童在体脂肪和腹部脂肪方面表现出最不利的变化。这些发现支持在肥胖预防和针对儿童的健康促进计划中需要促进整体健康的饮食习惯。