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School Connectedness and Chinese Adolescents' Sleep Problems: A Cross‐Lagged Panel Analysis
Authors:Zhenzhou Bao PhD  Chuansheng Chen PhD  Wei Zhang PhD  Yanping Jiang MS  Jianjun Zhu MS  Xuefen Lai MS
Affiliation:1. School of Educational Science, Gannan Normal University, Shiyuan South Road, Rongjiang New District, Ganzhou, 341000, China;2. Department of Psychology and Social Behavior, University of California, Irvine, CA 92697;3. School of Psychology/Center for Studies of Psychological Application, South China Normal University, No. 55 Zhongshan West Avenue, Tianhe District, Guangzhou 510631, China;4. Department of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, SC 29208;5. School of Education Science, Jiaying University, No. 100 Meisong Road, Meijiang District, Meizhou 514015, China
Abstract:

BACKGROUND

Although previous research indicates an association between school connectedness and adolescents' sleep quality, its causal direction has not been determined. This study used a 2‐wave cross‐lagged panel analysis to explore the likely causal direction between these 2 constructs.

METHODS

Participants were 888 Chinese adolescents (43.80% boys; Mage = 15.55) who provided self‐report data on school connectedness and sleep quality as well as demographic variables at the beginning and the end of a school year.

RESULTS

After controlling for sex and age, we found that sleep problems at the beginning of the school year were a significant and negative predictor of school connectedness at the end of the school year (b2 = ?.26, SE = .13, β2 = ?.10, p < .05), but school connectedness at the beginning of the school year did not predict sleep problems at the end of the school year (b1 = .05, SE = .03, β1 = .09, p > .05). Separate analyses by sex showed that the above pattern of results was mainly driven by the boys.

CONCLUSIONS

Our findings demonstrated that sleep problems could be a risk factor for adolescent boys' school connectedness.
Keywords:school connectedness  sleep problems  cross‐lagged panel analysis  adolescent health
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