0248 Developmental Differences in the Link Between Sleep Variability and Emotion Regulation During the Preschool Years

Abstract Introduction Sleep plays a central role in supporting emotion regulation (ER) during early childhood (Godzik et al., 2024). Sleep variability – the night-to-night fluctuation in when children go to sleep, how long they sleep, and when they wake – is emerging as a meaningful marker of risk (Hoyniak et al., 2020). A study of school-aged children found that sleep duration and quality were unrelated to self-regulation, but greater variability in sleep onset timing predicted poorer ER and higher impulsivity (Dadzie et al., 2025). Notably, these associations emerged only for certain subgroups, suggesting that the influence of sleep variability may depend on developmental or contextual factors. These associations, however, remain largely unexplored in preschoolers, a period characterized by significant variability in both sleep patterns and emerging ER skills. The present study examined whether night-to-night sleep variability predicts preschoolers’ adaptive and maladaptive ER and whether these associations differ by age. Methods Participants (N = 59) were children aged 3-5 years from a larger study of self-regulation. Sleep variability (average standard deviation of bedtime, time in bed, and total time asleep) was assessed using actigraphy and caregiver-reported sleep diaries. Children’s ER was measured using the Early Emotion Regulation Behavior Questionnaire (EERBQ). Linear regression models tested whether sleep variability separately predicted adaptive and maladaptive ER and whether these associations were moderated by child age. Gender was included as a covariate. Results Results revealed a significant interaction between child age and sleep variability in predicting adaptive ER (β = 0.34, p = .04). Among younger children, greater variability was associated with lower adaptive ER, whereas among older children, greater variability predicted higher adaptive ER. No significant effects emerged for maladaptive ER strategies. Conclusion These findings suggest that sleep variability may affect emotion regulation differently across early childhood. Younger children may struggle to engage in still-developing adaptive ER skills when sleep is irregular, whereas five-year-olds, whose ER abilities are more developed, may be better able to draw on adaptive strategies to cope with poor sleep. Future research should clarify the developmental mechanisms that underlie these age differences and continue to identify which children are most sensitive to sleep variability. Support (if any)

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.0248
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

0248 Developmental Differences in the Link Between Sleep Variability and Emotion Regulation During the Preschool Years

Angela Staples, Jamie Lawler, Brianna Trudeau
SLEEP
Sleep and related disorders
article

0248 Developmental Differences in the Link Between Sleep Variability and Emotion Regulation During the Preschool Years

Angela Staples, Jamie Lawler, Brianna Trudeau
article en

Abstract

Abstract Introduction Sleep plays a central role in supporting emotion regulation (ER) during early childhood (Godzik et al., 2024). Sleep variability – the night-to-night fluctuation in when children go to sleep, how long they sleep, and when they wake – is emerging as a meaningful marker of risk (Hoyniak et al., 2020). A study of school-aged children found that sleep duration and quality were unrelated to self-regulation, but greater variability in sleep onset timing predicted poorer ER and higher impulsivity (Dadzie et al., 2025). Notably, these associations emerged only for certain subgroups, suggesting that the influence of sleep variability may depend on developmental or contextual factors. These associations, however, remain largely unexplored in preschoolers, a period characterized by significant variability in both sleep patterns and emerging ER skills. The present study examined whether night-to-night sleep variability predicts preschoolers’ adaptive and maladaptive ER and whether these associations differ by age. Methods Participants (N = 59) were children aged 3-5 years from a larger study of self-regulation. Sleep variability (average standard deviation of bedtime, time in bed, and total time asleep) was assessed using actigraphy and caregiver-reported sleep diaries. Children’s ER was measured using the Early Emotion Regulation Behavior Questionnaire (EERBQ). Linear regression models tested whether sleep variability separately predicted adaptive and maladaptive ER and whether these associations were moderated by child age. Gender was included as a covariate. Results Results revealed a significant interaction between child age and sleep variability in predicting adaptive ER (β = 0.34, p = .04). Among younger children, greater variability was associated with lower adaptive ER, whereas among older children, greater variability predicted higher adaptive ER. No significant effects emerged for maladaptive ER strategies. Conclusion These findings suggest that sleep variability may affect emotion regulation differently across early childhood. Younger children may struggle to engage in still-developing adaptive ER skills when sleep is irregular, whereas five-year-olds, whose ER abilities are more developed, may be better able to draw on adaptive strategies to cope with poor sleep. Future research should clarify the developmental mechanisms that underlie these age differences and continue to identify which children are most sensitive to sleep variability. Support (if any)

SLEEPVol. 49(Supplement_1)
Eastern Michigan University (US)
No poverty
Openalex Percentile: Top 6%
Sleep and related disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.