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Updated: Aug 5, 2025

Measuring Neural Mechanisms Underlying Sleep-Dependent Memory Consolidation During Naps in Early Childhood
Published on: October 2, 2019
Sleep patterns in childhood: a longitudinal assessment from the Generation XXI birth cohort
Marta Gonçalves1, Ana Rute Costa2, Milton Severo1
1EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Universidade do Porto, Porto, Portugal.
Insights
Children
Area of Science:
- Pediatrics
- Developmental Psychology
- Sleep Medicine
Background:
- Sleep patterns in young children are crucial for development.
- Understanding the evolution of sleep characteristics from infancy to preschool is essential.
- Sociodemographic factors may influence childhood sleep.
Purpose of the Study:
- To describe sleep-wake patterns in young children from infancy to preschool.
- To identify sociodemographic correlates of these sleep patterns.
- To assess the association between sleep characteristics at different developmental stages.
Main Methods:
- Latent class analysis and structured equation modeling were used.
- Data included bedtime, wake-up time, naps, and sleep location.
- Logistic regression analyzed sociodemographic associations.
Main Results:
- Two distinct sleep patterns emerged: early and late sleepers.
- Later sleep patterns were associated with maternal relationship changes and not attending kindergarten.
- Early infancy sleep characteristics positively correlated with preschool sleep patterns.
Conclusions:
- Childhood sleep patterns and circadian preferences establish early.
- Promoting good sleep hygiene from infancy is vital for lifelong sleep quality.
- Early sleep habits have a lasting impact on overall well-being.
Objective:
To describe sleep-wake patterns in young children, based on sleep characteristics in early infancy and preschool ages, identifying their main sociodemographic characteristics, and to assess the association between different sleep characteristics at both ages.
Method:
We included 1092 children from the Generation XXI birth cohort, evaluated at six months and four years of age, by face-to-face interviews. Sleep patterns were constructed through latent class analysis and structured equation modeling, including data on wake-up time and bedtime, afternoon naps, locale of nighttime sleep and night awakenings. To estimate the association between sociodemographic characteristics and sleep patterns, odds ratios and 95% confidence intervals were computed using logistic regression.
Results:
Two sleep patterns were identified through latent class analysis: pattern 1 was characterized by earlier bedtime and wake-up times, while pattern 2 was defined by later times. When compared with pattern 1, pattern 2 was more frequent among children whose mothers had changed from partnered to not partnered until preschool age and those who did not stay at the kindergarten, and was less common among those with siblings. Through structured equation modeling, an aggregating factor was identified at preschool age, which was mainly correlated with bedtime and wake-up time. A positive association between sleep characteristics evaluated in early infancy and in preschool ages was observed.
Conclusions:
Sleep patterns and circadian sleep preferences seem to be developed early in life, which highlight the importance of promoting an adequate sleep hygiene from infancy, assuming its impact on sleep quality during the life course.
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