Associations between Sleep and Dietary Patterns among Low-Income Children Attending Preschool
Associations between Sleep and Dietary Patterns among Low-Income Children Attending Preschool
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DOI：
10.1016/j.jand.2019.01.008
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发表时间：
2019-07-01
影响因子：
4.8
通讯作者：
Miller, Alison L.
中科院分区：
文献类型：
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作者：
Jansen, Erica C.;Peterson, Karen E.;Miller, Alison L.
睡眠障碍和低质量饮食在低收入环境中的儿童中很普遍，但它们之间关系的性质仍不清楚。特别是，是否方面以外的睡眠时间，包括时间和质量，与饮食模式很少被检查，特别是在学龄前children. ObjectiveTo评估是否每晚和总睡眠时间，睡眠时间，时间和持续时间的差异，从平日到周末，睡眠质量和饮食patterns.Design一个横断面分析学龄前儿童。父母完成了关于儿童睡眠习惯的问卷调查以及半定量的食物频率问卷调查。参与者/设置354名讲英语的儿童（49.9%的男孩）没有严重的医疗条件，年龄在3至5岁，参加了密歇根州的Head Start（2009-2011年）睡眠和饮食的完整信息。主要结果测量来自食物频率问卷的饮食模式评分。进行统计分析。主成分分析用于识别饮食模式使用以饮食模式评分为因变量、连续睡眠测量值为自变量的单独线性回归模型来评估睡眠与饮食之间的关联，并根据性别、年龄、父母教育水平和睡眠卫生进行调整。结果确定了三种饮食模式：蔬菜、健康蛋白质和配菜;面包和涂抹酱;以及加工和油炸。较长的平均周末睡眠时间和周末与工作日睡眠时间的较大差异与较低的蔬菜，健康蛋白质和侧面模式得分有关。工作日晚些时候的睡眠中点与较低的蔬菜，健康蛋白质和侧面模式得分有关，而周末晚些时候的睡眠中点与较高的加工和油炸模式得分有关。同样，一个更大的周末，工作日的中点差异与更高的加工和油炸模式scores.Conclusions晚睡眠时间和睡眠时间和时间从周末到工作日的差异相关的最佳饮食模式分数在幼儿。
Background Sleep disturbances and low-quality diets are prevalent among children in low-income settings, yet the nature of their relationship remains unclear. In particular, whether aspects other than sleep duration, including timing and quality, are associated with dietary patterns has rarely been examined, especially among preschool-aged children.Objective To evaluate whether nightly and total sleep duration, sleep timing, differences in timing and duration from weekdays to weekends, and sleep quality were related to dietary patterns.Design A cross-sectional analysis of children attending preschool. Parents completed questionnaires about children's sleep habits as well as a semiquantitative food frequency questionnaire.Participants/setting Three hundred fifty-four English-speaking children (49.9% boys) with no serious medical conditions aged 3 to 5 years who were enrolled in Head Start in Michigan (2009-2011) with complete information on sleep and diet.Main outcome measures Dietary pattern scores derived from food frequency questionnaire.Statistical analyses performed Principal component analysis was used to identify dietary patterns. Separate linear regression models with dietary pattern scores as the dependent variable and continuous sleep measures as independent variables were used to evaluate associations between sleep and diet, adjusting for sex, age, parent education level, and sleep hygiene.Results Three dietary patterns were identified: Vegetables, Healthy Proteins, and Sides; Breads and Spreads; and Processed and Fried. Longer average weekend sleep duration and a greater difference in weekend-to-weekday sleep duration was related to lower Vegetables, Healthy Proteins, and Sides pattern scores. Later sleep midpoint during weekdays was related to lower Vegetables, Healthy Proteins, and Sides pattern scores, whereas later sleep midpoint on the weekend was associated with higher Processed and Fried pattern scores. Similarly, a larger weekend-weekday midpoint difference was associated with higher Processed and Fried pattern scores.Conclusions Later sleep timing and differences in sleep duration and timing from weekends to weekdays were related to less-optimal dietary pattern scores in young children.