Center for Preventive Medicine and Digital Health (CPD), Medical Faculty Mannheim, Heidelberg University, Ludolf-Krehl-Straße 7-11, 68167, Mannheim, Germany.
Department of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
BMC Public Health. 2022 Jul 26;22(1):1415. doi: 10.1186/s12889-022-13814-5.
The number of obese children is rising worldwide. Many studies have investigated single determinants of children's body mass index (BMI), yet studies measuring determinants at different potential levels of influence are sparse. The aim of this study is to investigate the independent role of parental socioeconomic position (SEP), additional family factors at the micro level, as well as early childhood education and care (ECEC) centre characteristics at the meso level regarding BMI.
Analyses used the baseline data of the PReschool INtervention Study (PRINS) including up to 1,151 children from 53 ECEC centres. Multi-level models first estimated the associations of parental SEP indicators (parental school education, vocational training, and household income) with the children's standard deviation scores for BMI (SDS BMI, standardised for age and gender). Second, structural (number of siblings), psychosocial (strained family relationships), and nutrition behavioural (soft-drink consumption, frequency of fast-food restaurant visits) family factors at the micro level were included. Third, characteristics of the ECEC centre at the meso level in terms of average group size, the ratio of overweight children in the group, ECEC centre type (all-day care), and the location of the ECEC centre (rural vs urban) were included. All analyses were stratified by gender and adjusted for age, migration background, and parental employment status.
Estimates for boys and girls appeared to differ. In the full model, for boys the parental SEP indicators were not related to SDS BMI. Factors related to SDS BMI in boys were: two or more siblings; B = -.55; p = 0.045 [ref.: no sibling]), the characteristics of the ECEC centre in terms of average group size (20 - 25 children; B = -.54; p = 0.022 [ref.: < 20 children]), and the ratio of overweight children (more overweight children B = -1.39; p < 0.001 [ref.: few overweight children]). For girls the number of siblings (two and more siblings; B = .67; p = 0.027 [ref.: no sibling]) and average group size (> 25 children; B = -.52; p = 0.037 [ref.: < 20 children]) were related to SDS BMI.
The BMI of preschool children appears to be associated with determinants at the micro and meso level, however with some gender differences. The identified factors at the micro and meso level appear largely modifiable and can inform about possible interventions to reduce obesity in preschool children.
全球肥胖儿童人数不断增加。许多研究已经调查了儿童体重指数(BMI)的单一决定因素,但很少有研究测量不同潜在影响水平的决定因素。本研究旨在调查父母社会经济地位(SEP)、微观层面的家庭因素以及中观层面的早期儿童教育和保育(ECEC)中心特征对 BMI 的独立作用。
分析使用了学前干预研究(PRINS)的基线数据,包括来自 53 个 ECEC 中心的多达 1151 名儿童。多水平模型首先估计了父母 SEP 指标(父母的学校教育、职业培训和家庭收入)与儿童 BMI 标准差得分(按年龄和性别标准化的 SDS BMI)之间的关联。其次,纳入了微观层面的结构(兄弟姐妹数量)、心理社会(紧张的家庭关系)和营养行为(软饮料消费、快餐餐厅访问频率)家庭因素。第三,纳入了中观层面 ECEC 中心的特征,包括平均群体规模、群体中超重儿童的比例、ECEC 中心类型(全日制)和 ECEC 中心位置(农村与城市)。所有分析均按性别分层,并根据年龄、移民背景和父母就业状况进行调整。
男孩和女孩的估计结果似乎有所不同。在全模型中,对于男孩,父母 SEP 指标与 SDS BMI 无关。与男孩 SDS BMI 相关的因素包括:有两个或更多兄弟姐妹;B=-0.55;p=0.045[参考:无兄弟姐妹]),ECEC 中心的特征是平均群体规模(20-25 名儿童;B=-0.54;p=0.022[参考:<20 名儿童])和超重儿童的比例(更多超重儿童 B=-1.39;p<0.001[参考:超重儿童少])。对于女孩,有两个或更多兄弟姐妹(B=0.67;p=0.027[参考:无兄弟姐妹])和平均群体规模(>25 名儿童;B=-0.52;p=0.037[参考:<20 名儿童])与 SDS BMI 相关。
学龄前儿童的 BMI 似乎与微观和中观层面的决定因素有关,但存在一些性别差异。微观和中观层面确定的因素在很大程度上是可以改变的,可以为减少学龄前儿童肥胖提供信息。