# Night sleep duration trajectories and associated factors among preschool   children from the EDEN cohort

**Authors:** Sabine Plancoulaine (INSERM, CRESS - U1153), Eve Reynaud (CRESS -, U1153, INSERM), Anne Forhan (CRESS - U1153, INSERM), Sandrine Lioret (CRESS -, U1153, INSERM), Barbara Heude (CRESS - U1153, INSERM), Marie-Aline Charles, (CRESS - U1153, INSERM)

arXiv: 1904.05042 · 2019-04-11

## TL;DR

This study identified five distinct night-sleep duration trajectories among preschool children and examined associated early life factors, revealing lifestyle and demographic influences that could inform targeted early interventions.

## Contribution

The paper introduces a novel classification of sleep duration trajectories in preschoolers and links them to specific sociodemographic and lifestyle factors.

## Key findings

- Five sleep trajectories identified: short, medium-low, medium-high, long, changing.
- Certain factors like gender, parental behaviors, and diet are associated with specific sleep trajectories.
- Early life factors can predict sleep pattern changes and inform prevention strategies.

## Abstract

Objective. Sleep duration may vary inter-individually and intra-individually over time. We aimed at both identifying night-sleep duration (NSD) trajectories among preschoolers and studying associated factors. Methods. NSD were 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 2 years were investigated in association with NSD using multinomial logistic regressions. Results. Five distinct NSD trajectories were identified: short (SS, <10h, 4.9%), medium-low (MLS, <11h, 47.8%), medium-high (MHS, $\approx$11h30, 37.2%), long (LS, $\ge$11h30, 4.5%) and changing (CS, i.e. $\ge$11h30 then <11h, 5.6%) NSD trajectories. Multivariable analyses showed in particular that, compared to the MHS trajectory, factors associated with increased risk for belonging to SS trajectory were male gender, first child, maternal age and working status, night-waking, parental presence when falling asleep, television-viewing duration and both the `Processed and fast foods' and the `Baby food' dietary patterns at age 2 years. Factors positively associated with the CS trajectory were maternal smoking, bottle-feeding at night and the `Processed and fast foods' dietary pattern at age 2 years whereas child's activity and emotionality scores at age 1 year were negatively associated. Conclusion. We identified distinct NSD trajectories among preschoolers and associated early life factors. Some of them may reflect less healthy lifestyle, providing cues for early multi-behavioral prevention interventions

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Source: https://tomesphere.com/paper/1904.05042