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中小学生睡眠时长与积极青少年发展素质的交叉滞后分析

Cross-Lagged Analysis of Sleep Duration and Positive Youth Development in Primary and Secondary School Students

  • 摘要:
    目的 基于交叉滞后模型探讨成都市中小学生睡眠时长(sleep duration, SD)与积极青少年发展(positive youth development, PYD)的纵向关系,为加强中小学生睡眠管理工作提供研究科学依据。
    方法 选取成都儿童正向成长队列3~9年级4061名中小学生进行3轮追踪调查,每轮间隔1年。T0、T1、T2分别代表基线、1年、2年时间点。采用中国版青少年积极发展量表调查PYD,并收集人口学资料和近一个月平均每天SD。通过Spearman相关分析探索PYD与SD相关性,用交叉滞后模型探索二者纵向关系。
    结果 研究对象在T0、T1、T2平均每日SD依次为9.00(8.04,10.00) h、10.44(9.67,11.11) h、10.39(9.83,11.00) h,PYD得分分别为5.30(4.73,5.71)分、5.27(4.73,5.73)分、5.39(4.89,5.77)分,不同轮次SD和PYD差异均有统计学意义(P<0.05)。Spearman相关性分析表明,SD与PYD在三轮测量中均存在同时性相关(T0:r=0.10;T1:r=0.18;T2:r=0.21,P<0.05)和继时性相关(如T0-PYD与T1-SD:r=0.10,同理其余三个交叉路径相关性均有统计学意义)。交叉滞后模型结果显示T0、T1时的PYD分别正向预测T1、T2的SD〔β0-1=0.116(95%置信区间:0.083~0.150),β1-2=0.097(95%置信区间:0.067~0.127),P<0.05〕,T0、T1时的SD同样正向预测T1、T2的PYD〔β0-1=0.028(95%置信区间:0~0.056),β1-2=0.042(95%置信区间:0.010~0.074),P<0.05〕。中小学生SD与PYD具有跨时间点的双向预测关系,且PYD对SD预测效果要强于SD对PYD预测效果。性别亚组分析显示PYD预测SD方向上具有稳健性。
    结论 本研究揭示了中小学生SD与PYD的双向正向预测关系,表明高水平的积极青少年发展素质可能是促进中小学生充足睡眠的因素,为学校和家庭加强学生睡眠管理以及促进青少年全面发展和提升提供了重要的科学依据。

     

    Abstract:
    Objective  To investigate the longitudinal relationship between sleep duration (SD) and positive youth development (PYD) among primary and secondary school students in Chengdu city using a cross-lagged model, and to provide scientific evidence for enhancing sleep management practices for students.
    Methods  A total of 4061 students of grades 3 through 9 from the Chengdu Child Positive Development Cohort were included in this three-wave longitudinal study. There was a one-year interval between one survey and the following round of survey, and the time points for the baseline, 12-month follow-up, and 24-month follow-up surveys were designated T0, T1, and T2. The PYD of the participants was assessed using the Chinese version of the Positive Youth Development Scale. The demographic data and the average daily SD over the past month were collected. Spearman correlation analysis was performed to examine the associations between SD and PYD, and a cross-lagged model was used to investigate the longitudinal relationship between them.
    Results  The average daily SD for the 3 rounds of surveys conducted at T0, T1, and T2 was 9.00 (8.04, 10.00) hours, 10.44 (9.67, 11.11) hours, and 10.39 (9.83, 11.00) hours, respectively, while the PYD scores were 5.30 (4.73, 5.71), 5.27 (4.73, 5.73), and 5.39 (4.89, 5.77), respectively. Statistical significance was found in the differences of SD and PYD scores across the 3 rounds ( P < 0.05). Spearman correlation analysis revealed synchronous correlations between SD and PYD at all three time points ( r = 0.10 at T0, r = 0.18 at T1, and r = 0.21 at T2, P < 0.05) and significant lagged correlations (e.g., r = 0.10 for T1-PYD and T2-SD, and likewise, significant correlation was found for the 3 other cross-lagged paths). The cross-lagged model demonstrated that PYD at T0 and T1 positively predicted SD at T1 and T2, respectively (β0-1 = 0.116 95% CI, 0.083-0.150, β1-2 = 0.097 (95% CI, 0.067-0.127), P < 0.05), and that SD at T0 and T1 also positively predicted PYD at T1 and T2 (β0-1 = 0.028 95% CI, 0-0.056, β1-2 = 0.042 95% CI, 0.010-0.074, P < 0.05). According to these findings, a bidirectional predictive relationship between SD and PYD across different time points was observed in primary and secondary school students. Furthermore, PYD demonstrated better performance for predicting SD than SD did for PYD. Subgroup analysis by sex confirmed the robustness of the predictive power of PYD for SD.
    Conclusion This study reveals a positive bidirectional predictive relationship between SD and PYD among primary and secondary school students, suggesting that higher levels of PYD may contribute to adequate sleep. These findings provide critical scientific evidence for schools and families to strengthen sleep management and promote the holistic development and well-being of adolescents.

     

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