INSERM, UMR1153, Epidemiology and Statistics Sorbonne Paris Cité Research Center (CRESS), Early ORigins of Child Health And Development Team (ORCHAD), Villejuif, France; University Paris-Descartes, UMRS 1153, Paris, France.
INSERM, UMR1153, Epidemiology and Statistics Sorbonne Paris Cité Research Center (CRESS), Early ORigins of Child Health And Development Team (ORCHAD), Villejuif, France; University Paris-Descartes, UMRS 1153, Paris, France; Ecole des Hautes Etudes en Santé Publique (EHESP), Rennes, France.
Sleep Med. 2018 Aug;48:194-201. doi: 10.1016/j.sleep.2018.03.030. Epub 2018 Apr 27.
Sleep duration may vary both interindividually and intraindividually over time. We aimed to identify night-sleep duration (NSD) trajectories among preschoolers and to study associated factors.
NSD was collected within the French birth-cohort study EDEN at ages 2, 3, and 5-6 years through parental questionnaires, and were used to model NSD trajectories among 1205 children. Familial socioeconomic factors, maternal sociodemographic, health and lifestyle characteristics, as well as child health, lifestyle, and sleep characteristics at birth and/or at age two years were investigated in association with NSD using multinomial logistic regressions.
Five distinct NSD trajectories were identified: short (SS, <10 h, 4.9%), medium-low (MLS, <11 h, 47.8%), medium-high (MHS, ≈11.5 h, 37.2%), long (LS, ≥11.5 h, 4.5%) and changing (CS, ie, ≥11.5 h then <11 h, 5.6%) NSD trajectories. Multivariable analyses showed in particular that compared to the MHS trajectory factors associated with increased risk for the SS trajectory were male gender, first child, maternal age and working status, night-waking, parental presence when falling asleep, television-viewing duration, as well as both "Processed and fast foods" and the "Baby food" dietary patterns at age two years. Factors positively associated with the CS trajectory were maternal smoking, feeding at night, and the Processed and fast foods dietary pattern at age two years, whereas child's activity and emotionality scores at age one year were negatively associated.
We identified distinct NSD trajectories among preschoolers and associated early life factors. Some of them may reflect less healthy lifestyles, providing cues for early multi-behavioral prevention interventions.
睡眠时间在个体间和个体内随时间而变化。我们旨在确定学龄前儿童的夜间睡眠时间 (NSD) 轨迹，并研究相关因素。
通过父母问卷在法国出生队列研究 EDEN 中收集 2、3 和 5-6 岁儿童的 NSD，并用于对 1205 名儿童的 NSD 轨迹进行建模。使用多项逻辑回归调查了与 NSD 相关的家庭社会经济因素、母亲社会人口统计学、健康和生活方式特征，以及出生时和/或 2 岁时儿童的健康、生活方式和睡眠特征。
确定了五种不同的 NSD 轨迹：短（SS，<10 小时，4.9%）、中低（MLS，<11 小时，47.8%）、中高（MHS，≈11.5 小时，37.2%）、长（LS，≥11.5 小时，4.5%）和变化（CS，即，≥11.5 小时然后<11 小时，5.6%）。多变量分析显示，与 MHS 轨迹相比，与 SS 轨迹风险增加相关的因素包括男性性别、第一个孩子、母亲年龄和工作状态、夜间醒来、入睡时父母在场、看电视时间，以及 2 岁时的“加工食品和快餐”和“婴儿食品”饮食模式。与 CS 轨迹呈正相关的因素是母亲吸烟、夜间喂养和 2 岁时的“加工食品和快餐”饮食模式，而儿童 1 岁时的活动和情绪得分则呈负相关。
我们确定了学龄前儿童不同的 NSD 轨迹和相关的早期生活因素。其中一些可能反映了不太健康的生活方式，为早期多行为预防干预提供了线索。
