TY - JOUR
T1 - The Physical Home Environment and Sleep
T2 - What Matters Most for Sleep in Early Childhood
AU - Hoyniak, Caroline P.
AU - Bates, John E.
AU - Camacho, M. Catalina
AU - McQuillan, Maureen E.
AU - Whalen, Diana J.
AU - Staples, Angela D.
AU - Rudasill, Kathleen M.
AU - Deater-Deckard, Kirby
N1 - Publisher Copyright:
© 2022. American Psychological Association
PY - 2022
Y1 - 2022
N2 - The physical home environment is thought to play a crucial role in facilitating healthy sleep in young children. However, relatively little is known about how various features of the physical home environment are associated with sleep in early childhood, and some of the recommendations clinicians make for improving child sleep environments are based on limited research evidence. The present study examined how observer and parent descriptions of the child’s physical home environment were associated with child sleep, measured using actigraphy and parent’s reports, across a year in early childhood. The study used a machine learning approach (elastic net regression) to specify which aspects of the physical home environment were most important for predicting five aspects of child sleep, sleep duration, sleep variability, sleep timing, sleep activity, and latency to fall asleep. The study included 546 toddlers (265 females) recruited at 30 months of age and reassessed at 36 and 42 months of age. Poorer quality physical home environments were associated with later sleep schedules, more variable sleep schedules, shorter sleep durations, and more parent-reported sleep problems in young children.
AB - The physical home environment is thought to play a crucial role in facilitating healthy sleep in young children. However, relatively little is known about how various features of the physical home environment are associated with sleep in early childhood, and some of the recommendations clinicians make for improving child sleep environments are based on limited research evidence. The present study examined how observer and parent descriptions of the child’s physical home environment were associated with child sleep, measured using actigraphy and parent’s reports, across a year in early childhood. The study used a machine learning approach (elastic net regression) to specify which aspects of the physical home environment were most important for predicting five aspects of child sleep, sleep duration, sleep variability, sleep timing, sleep activity, and latency to fall asleep. The study included 546 toddlers (265 females) recruited at 30 months of age and reassessed at 36 and 42 months of age. Poorer quality physical home environments were associated with later sleep schedules, more variable sleep schedules, shorter sleep durations, and more parent-reported sleep problems in young children.
KW - Early childhood
KW - Home environment
KW - Machine learning
KW - Physical environment
KW - Sleep
UR - http://www.scopus.com/inward/record.url?scp=85130604325&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130604325&partnerID=8YFLogxK
U2 - 10.1037/fam0000977
DO - 10.1037/fam0000977
M3 - Article
C2 - 35266772
AN - SCOPUS:85130604325
SN - 0893-3200
VL - 36
SP - 757
EP - 769
JO - Journal of Family Psychology
JF - Journal of Family Psychology
IS - 5
ER -