A comparative study of different sleep assessment methods for preschool children

Abstract

PurposeThis study aimed to examine the differences between different sleep assessment methods for preschool children.MethodsPreschool children (n = 54, mean age: 4.6 years) were recruited from kindergarten. Data were collected using an accelerometer, a sleep log, and sleep questionnaire. Furthermore, correlation analysis, Bland–Altman analysis, and repeated measures ANOVA were performed.Results(1) The sleep duration evaluated by different sleep assessment methods were all significantly correlated, among which the sleep log and Sadeh algorithm showed the highest correlation (r = 0.972, p < .001), while the Tudor‐Locke algorithm and the sleep questionnaire demonstrated the lowest correlation (r = 0.383, p < .01); (2) The points between different sleep assessment methods were all within 95% LoA, except for the sleep log and Tudor‐Locke algorithm; (3) In various methods of sleep assessment, significant differences were observed in sleep onset (F2(1.6,85.0) = 32.8, p < .001, η2: 0.38), while no significant differences were observed in sleep offset (F2(1.5,80.1) = 32.8, p = .05, η2: 0.05); (4) In addition, no significant difference in sleep onset was observed between the sleep questionnaire and sleep log (p > .05), and there was also no significant difference in sleep onset between the Sadeh algorithm and the Tudor‐Locke algorithm (p > .05).ConclusionsBoth the Sadeh algorithm and the Tudor‐Locke algorithm can be used as effective algorithms for sleep duration assessment of Chinese preschool children, with the latter having obvious advantages in large sample surveys. Future research should pay attention to the differences between different sleep assessment methods when using these algorithms.