The relationships between sleep disturbances, resilience and anxiety among preschool children: A three-wave longitudinal study

Abstract

Objective: This study, based on a three-wave longitudinal study, aimed to examine bidirectional relationships between sleep disturbances, resilience and anxiety symptoms among preschool children.

Methods: In total, 1169 children in the junior class of preschools were investigated three times with an interval of one year, in Anhui Province, China. Children's sleep disturbances, resilience and anxiety symptoms were all assessed in the three-wave surveys. Then, 906 children at baseline (T1), 788 children in the first follow-up study (T2), and 656 children in the second follow-up study (T3) were included in the analysis. Autoregressive cross-lagged modeling analyses were performed to examine bidirectional relationships between sleep disturbances, resilience and anxiety symptoms using Mplus 8.3.

Results: The mean age of the children was 3.6 ± 0.4 years at T1, 4.6 ± 0.4 years at T2, and 5.6 ± 0.4 years at T3, respectively. The results indicated that sleep disturbances at T1 significantly predicted anxiety symptoms at T2 (β = 0.111, P = 0.001); and sleep disturbances at T2 significantly predicted anxiety symptoms at T3 (β = 0.108, P = 0.008). Resilience only at T2 significantly predicted anxiety symptoms at T3 (β = -0.120, P = 0.002). Anxiety symptoms did not significantly predict the two variables (sleep disturbances and resilience) at any wave.

Conclusion: This study suggests that more sleep disturbances are longitudinally associated with subsequent high anxiety symptoms; inversely, high resilience will alleviate subsequent anxiety symptoms. These findings highlight the importance that early screening for sleep disturbances and anxiety, and strengthening resilience are beneficial to prevent preschool children from developing higher anxiety symptoms.

Keywords: Anxiety; Child; Cross-lagged model; Resilience; Sleep disturbances.