Determinants of sleep patterns in healthy Japanese 5-year-old children

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• 作者：Sachiko Iwata ; Osuke Iwata ; Akiko Iemura ; Mizue Iwasaki ; Toyojiro Matsuishi
• 关键词：Actigraphy ; Preschool child ; Sleep pattern ; Gender ; Lifestyle
• 刊名：International Journal of Developmental Neuroscience
• 出版年：2011
• 出版时间：February 2011
• 年：2011
• 卷：29
• 期：1
• 页码：57-62
• 全文大小：163 K

文摘

Background

Early childhood is an important period for the development of sleep patterns; studies of sleep patterns in young preschool children may help elucidate the mechanism of associated mental/physical conditions and later sleep problems.

Aim and methods

The aim of this study was to investigate intrinsic and extrinsic independent variables associated with sleep patterns in preschool children using actigraphy. Forty-eight 5-year-old children from two types of nurseries, which accommodate children with (Type A) or without (Type B) in-home caregivers, were invited to undergo a 7-day actigraphic sleep study.

Results

Compared with weekdays, both sleep onset time and sleep end time were later on weekends (28 and 17 min later in average, respectively). On weekdays, cultural lessons were associated with a later sleep onset time (22 min later); female gender, sports lessons and fixed bathing times were related with an earlier sleep end time (17, 21 and 17 min earlier, respectively); sports lessons were also associated with higher sleep efficiency (3.7 % higher). During weekends, unfixed bedtimes and daytime naps were related with a later sleep onset time (73 and 54 min later, respectively); male gender, Type A nursery and daytime naps were associated with a later sleep end time (33, 37 and 34 min later, respectively); sports lessons were associated with higher sleep efficiency (3.6 % higher).

Conclusions

Our current findings suggested that both intrinsic and extrinsic factors, such as gender, child care, lifestyle and after-nursery lessons, influence the establishment of sleep patterns in young preschool children. Further investigation of these independent variables may help establish a strategy for predicting and preventing sleep disorders later in life.