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. 2021 Feb 15:13:163-175.
doi: 10.2147/NSS.S290586. eCollection 2021.

Persistent Short Sleep from Childhood to Adolescence: Child, Parent and Peer Predictors

Bror M Ranum  1 , Lars Wichstrøm  1   2 , Ståle Pallesen  3   4 , Jonas Falch-Madsen  1 , Silje Steinsbekk  1
Affiliations

Persistent Short Sleep from Childhood to Adolescence: Child, Parent and Peer Predictors

Bror M Ranum et al. Nat Sci Sleep. .

Abstract

Purpose: Many children have periods when they sleep too little, with widely recognized detrimental effects. Less is known about persistent short sleep during childhood. Therefore, the present study aimed to investigate the prevalence of persistent short sleep in school-aged children and identify a set of child, parent, and peer predictors thereof.

Participants and methods: Objectively measured sleep duration (hip-held accelerometer) was biennially assessed in a community sample followed from 6 to 14 years (n=801). A latent profile analysis was applied to assess whether a subgroup of children slept consistently short across time and predictors of persistent short sleep were determined through regression analysis.

Results: A subgroup of children (n=160; 20.2%) was identified as having persistent short sleep across time. Temperamental negative affectivity (β=0.08; 95% CI=0.01, 0.15; p=0.03) and low observer-assessed parental emotional availability (β=-.09; 95% CI=-.18, -.01; p=0.04) predicted membership to that group. Teacher ratings of victimization from bullying were not associated with persistent short sleep (β=0.01; 95% CI: -.10, 11; p=0.88).

Conclusion: High child temperamental negative affectivity and low parental emotional availability may be involved in the development of persistent short sleep through childhood.

Keywords: actigraphy; childhood; early adolescence; insufficient sleep; negative affectivity; parental emotional availability; prospective cohort study; sleep duration; victimization from bullying.

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Conflict of interest statement

The authors report no conflicts of interest in this work.

Figures

Figure 1
Figure 1
Flow chart of recruitment and follow-up.
Figure 2
Figure 2
Factor analysis of sleep duration with standardized beta coefficients (β), standard errors (SE) and correlations (r).
Figure 3
Figure 3
Profile analysis of sleep duration (with 95% CI).
See this image and copyright information in PMC

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