Research Center in Epidemiology and Biostatistics (CRESS), Université de Paris, INSERM, INRA, 75004 Paris, France.
Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia.
Nutrients. 2020 Mar 9;12(3):724. doi: 10.3390/nu12030724.
Traditional approaches to understanding the behavioural determinants of adiposity have considered diet, physical activity and sedentary behaviour in isolation. Although integrative approaches have identified a variety of lifestyle patterns in children at preschool-age or older, along with some variability by socio-economic positions, this has rarely been examined in younger cohorts. We aimed to identify lifestyle patterns at 1.5, 3.5 and 5 years, including dietary intake, outdoor time and television viewing time, to assess associations with maternal education (as a proxy for socio-economic position), and to investigate their persistence between toddlerhood and preschool age. Participants were 417 and 293 children aged 1.5 y from the Melbourne Infant Feeding Activity and Nutrition Trial (InFANT) and InFANT Extend Programs, respectively. Data were collected using questionnaires at child ages 1.5, 3.5 and 5 y (InFANT); and 1.5 and 3.5 y (InFANT Extend). Principal component analysis was undertaken at each time point on the separate and pooled datasets. Associations between the lifestyle patterns scores and maternal education were assessed with multivariable regression analysis. Two lifestyle patterns ("Discretionary consumption and TV" and "Fruit, vegetables and outdoor") were identified as early as 1.5 y. They remained consistent across ages and were evident in both datasets. These patterns were inversely and positively associated with maternal education, respectively. Such early clustering of obesity related energy balance behaviours and tracking during early childhood suggests there may be shared antecedents common to the individual behaviours that could be targeted for intervention. Our findings provide support for interventions targeting multiple behaviours and tailored to the level of family socio-economic disadvantage.
传统的理解肥胖行为决定因素的方法将饮食、身体活动和久坐行为孤立开来考虑。尽管综合方法已经确定了学龄前或更大年龄儿童的各种生活方式模式，并且社会经济地位存在一定的差异，但在年龄更小的队列中很少进行这种研究。我们的目的是确定 1.5 岁、3.5 岁和 5 岁时的生活方式模式，包括饮食摄入、户外活动时间和看电视时间，评估其与母亲教育（作为社会经济地位的代表）的关联，并研究它们在幼儿期和学龄前的持续性。参与者分别为墨尔本婴儿喂养活动和营养试验（InFANT）和 InFANT 扩展计划的 417 名和 293 名 1.5 岁的儿童。在儿童 1.5 岁、3.5 岁和 5 岁时（InFANT）；以及 1.5 岁和 3.5 岁时（InFANT 扩展）使用问卷收集数据。在每个时间点，分别对独立数据集和合并数据集进行主成分分析。使用多变量回归分析评估生活方式模式评分与母亲教育之间的关联。早在 1.5 岁时就确定了两种生活方式模式（“随意消费和电视”和“水果、蔬菜和户外活动”）。它们在各个年龄段都保持一致，在两个数据集都存在。这些模式分别与母亲教育呈负相关和正相关。肥胖相关的能量平衡行为和幼儿期早期的跟踪如此早期聚类表明，可能存在与个体行为共同的共同前因，这些前因可能成为干预的目标。我们的研究结果为针对多种行为的干预措施提供了支持，并针对家庭社会经济劣势的程度进行了调整。
