Maternal Depressive Symptoms and Household Income in Relation to Sleep in Early Childhood

OBJECTIVE : Sleep health is critical for children to adapt to evolving cognitive-socioemotional contexts. Given that sleep timing in early childhood is instituted under caregiver control, the family context likely has an influential role on children's sleep. This study investigated links betwee...

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Bibliographic Details
Published in:Journal of pediatric psychology 2016-10, Vol.41 (9), p.961-970
Main Authors: de Jong, Desiree M, Cremone, Amanda, Kurdziel, Laura B F, Desrochers, Phillip, LeBourgeois, Monique K, Sayer, Aline, Ertel, Karen, Spencer, Rebecca M C
Format: Article
Language:English
Subjects:
Actigraphy
Child
Child Behavior - physiology
Child Behavior - psychology
Child, Preschool
Cross-Sectional Studies
Depression - psychology
Female
Health Behavior
Humans
Income
Male
Mothers - psychology
Parenting - psychology
Poverty
Regular
Sleep - physiology
Time Factors
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Summary:OBJECTIVE : Sleep health is critical for children to adapt to evolving cognitive-socioemotional contexts. Given that sleep timing in early childhood is instituted under caregiver control, the family context likely has an influential role on children's sleep. This study investigated links between maternal depressive symptoms and variability in children's sleep, and whether household income moderated this relation.  METHOD : 90 children (Mage = 53 ± 9 months) wore actigraphs to objectively measure sleep for 4-16 days. Mothers reported income and depressive symptomatology. RESULTS : Higher maternal depressive symptoms were related to greater variability in 24-hr sleep duration. Income moderated this relation. Lower income, but not maternal depressive symptoms, was linked to greater variability in sleep onset time.  CONCLUSIONS : Findings demonstrate important relations between maternal depressive symptoms, income, and children's sleep. Understanding distal and proximal family characteristics that may be related to children's developing sleep schedules could help identify populations and strategies for promoting optimal sleep health.
ISSN:0146-8693
1465-735X
DOI:10.1093/jpepsy/jsw006