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Clustering of Sedentary Behaviours Physical Activity and Energy-Dense Food Intake in Six-Year-Old Children: Associations with Family Socioeconomic Status

机译:六岁儿童久坐行为体育锻炼和高能量食物摄入的聚类:与家庭社会经济地位的关联

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摘要

This study examined the clustering of lifestyle behaviours in children aged six years from a prospective cohort study in the Netherlands. Additionally, we analysed the associations between socioeconomic status and the lifestyle behaviour clusters that we identified. Data of 4059 children from the Generation R Study were analysed. Socioeconomic status was measured by maternal educational level and net household income. Lifestyle behaviours including screen time, physical activity, calorie-rich snack consumption and sugar-sweetened beverages consumption were measured via a parental questionnaire. Hierarchical and non-hierarchical cluster analyses were applied. The associations between socioeconomic status and lifestyle behaviour clusters were assessed using logistic regression models. Three lifestyle clusters were identified: “relatively healthy lifestyle” cluster ( = 1444), “high screen time and physically inactive” cluster ( = 1217), and “physically active, high snacks and sugary drinks” cluster ( = 1398). Children from high educated mothers or high-income households were more likely to be allocated to the “relatively healthy lifestyle” cluster, while children from low educated mothers or from low-income households were more likely to be allocated in the “high screen time and physically inactive” cluster. Intervention development and prevention strategies may use this information to further target programs promoting healthy behaviours of children and their families.
机译:这项研究从荷兰的一项前瞻性队列研究中考察了6岁儿童生活方式行为的聚类情况。此外,我们分析了社会经济地位与我们确定的生活方式行为群之间的关联。分析了来自R代研究的4059名儿童的数据。社会经济地位通过孕产妇受教育程度和家庭净收入来衡量。通过父母问卷调查了包括筛查时间,体育锻炼,富含卡路里的小吃消费和含糖饮料消费在内的生活方式行为。应用了层次和非层次聚类分析。使用logistic回归模型评估了社会经济状况与生活方式行为群之间的关联。确定了三个生活方式类别:“相对健康的生活方式”类别(= 1444),“高筛选时间和身体不活跃”类别(= 1217)和“身体活动,高零食和含糖饮料”类别(= 1398)。来自受过高等教育的母亲或高收入家庭的孩子更有可能被分配到“相对健康的生活方式”群体,而来自受教育程度低的母亲或来自低收入家庭的孩子则更有可能被分配到“高筛查时间和物理上不活动的”群集。干预措施的开发和预防策略可能会使用此信息来进一步制定促进儿童及其家庭健康行为的计划。

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