目的 探讨青少年睡眠质量在冗思与抑郁症状间的中介作用。 方法 2023年10月至2024年9月采用简单随机抽样法选取300例青少年进行调查分析。所有受试者采用匹兹堡睡眠质量指数（PSQI）、冗思反应量表（RRS-C）、流调中心用抑郁量表（CES-D）进行评估。采用Pearson相关系数分析考察青少年CES-D抑郁症状、PSQI睡眠质量及RRS-C评分之间的相关性；运用分层回归分析探究青少年抑郁症状的影响因素；并通过Hayes开发的SPSS Process程序中的Model 4中介模型，检验睡眠质量在冗思与抑郁症状之间的中介作用，采用Bootstrap抽样法进行中介效应显著性检验。 结果 300例青少年PSQI、RRS-C、CES-D评分分别为（12.06 ± 2.14）、（34.03 ± 6.17）、（24.30 ± 4.37）分。CES-D评分与RRS-C、PSQI评分呈正相关（r = 0.513，P < 0.001；r = 0.526，P < 0.001），PSQI评分与RRS-C评分呈正相关（r = 0.440，P < 0.001）。控制混杂因素后，PSQI评分可解释CES-D评分的51.3%，引入RRS-C评分后，RRS-C评分可解释CES-D评分的50.9%。最终模型中性别、独生子女、遭受校园欺凌、RRS-C评分、PSQI评分进入回归方程，以上影响因素可解释青少年CES-D评分的60.7%。冗思可正向预测抑郁症状、睡眠质量，增加中介变量睡眠质量后，冗思、睡眠质量对抑郁症状有正向预测作用。睡眠质量在青少年冗思与抑郁症状间的中介效应占比为31.64%。 结论 青少年冗思水平与抑郁症状之间存在显著关联，且睡眠质量在此关联中扮演中介角色。这提示，在未来的干预研究中，关注并联合干预冗思和睡眠质量，可能具有重要的潜在价值。

Objective To explore the mediating role of sleep quality in adolescents between rumination and depressive symptoms. Methods From October 2023 to September 2024， 300 adolescents were selected for investigation and analysis by simple random sampling. All subjects were evaluated using the Pittsburgh Sleep Quality Index （PSQI）， the Redundancy Response Scale （RRS-C）， and the Center for Epidemiological Investigation Depression Scale （CES-D）. Pearson correlation analysis was employed to examine the correlations among the CES-D depression symptoms， PSQI　sleep quality， and RRS-C rumination scores in adolescents. Hierarchical regression analysis was utilized to explore the influencing factors of depressive symptoms in adolescents. Furthermore， the mediating role of sleep quality in the relationship between rumination and depressive symptoms was tested using Model 4 of the mediation model from the SPSS Process program developed by Hayes. The significance of the mediating effect was examined using the Bootstrap sampling method. Results The PSQI， RRS-C and CES-D scores of 300 adolescents were （12.06 ± 2.14） points， （34.03 ± 6.17） points and （24.30 ± 4.37） points respectively. The CES-D score was positively correlated with the RRS-C and PSQI scores （r = 0.513， P < 0.001； r = 0.526， P < 0.001）， and the PSQI score was positively correlated with the RRS-C score （r = 0.440， P < 0.001）. After controlling for confounding factors， the PSQI score could explain 51.3% of the CES-D score. After introducing the RRS-C score， the RRS-C score could explain 50.9% of the CES-D score. In the final model， gender， being an only child， suffering from school bullying， RRS-C score， and PSQI score entered the regression equation. The above influencing factors could explain 60.7% of the CES-D score of adolescents. Rumination could positively predict depressive symptoms and sleep quality. After increasing the mediating variable sleep quality， rumination and sleep quality had a positive predictive effect on depressive symptoms. The mediating effect of sleep quality between rumination and depressive symptoms in adolescents accounted for 31.64%. Conclusion There exists a significant association between rumination and depressive symptoms in adolescents， in which sleep quality serves as a mediating role. This suggests that focusing on and implementing combined interventions targeting both rumination and sleep quality may hold significant potential value in future research.