Chen Dan, Ye Haoxian, Bu Luowei, Liu Wenxu, Wang Dongfang, Fan Fang
School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, Guangdong Emergency Response Technology Research Center for Psychological Assistance in Emergencies, South China Normal University, Guangzhou, China.
School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Depress Anxiety. 2025 May 14;2025:3253107. doi: 10.1155/da/3253107. eCollection 2025.
Sleep disturbance and depression co-occur frequently, yet their co-occurring and transitional nature among adolescents remains underexplored. Meanwhile, few studies have examined the potential predictive effect of environmental factors (e.g., life stress) and individual factors (e.g., resilience) on their interactive profiles and transitions. This study investigated the profiles and transitions of sleep disturbance and depression for Chinese adolescents, along with the predictive role of life stress and resilience in profiles and transitions. A total of 17,404 adolescents ( = 12.1 ± 1.2 years, ranging from 10 to 17 years; 48.4% of females) were assessed at baseline from April 21 to May 12, 2021 (Time 1, T1), 6 months later from December 17-26, 2021 (Time 2, T2), and 1 year later from May 17 to June 6, 2022 (Time 3, T3). We used latent profile and latent transition analysis (LTA) to explore sleep disturbance and depression profiles and their transitions over time. Multivariate logistic regression was conducted to prove the predictive roles of stress and resilience in these profiles and transitions. Across all three time points, three profiles were consistently identified: low profile, co-occurring moderate profile, and co-occurring high profile. Three profiles presented distinct transition patterns, with adolescents in co-occurring high profiles displaying the highest level of transitions. The logistic regression suggested that adolescents with more interpersonal and academic stress or less resilience were more likely to belong to or transition into at-risk profiles. Recognizing subgroup differences is crucial to understanding the co-occurrence and transitions of sleep disturbance and depression. Stress and resilience, particularly interpersonal stress, are significant predictors. This underscores the need importance for dynamically monitoring changes in sleep disturbance and depression, as well as identifying resilience and stress factors, which are essential for developing intervention programs.
睡眠障碍和抑郁症经常同时出现，但它们在青少年中的共存及转变性质仍未得到充分研究。与此同时，很少有研究探讨环境因素（如生活压力）和个体因素（如心理韧性）对其相互作用模式及转变的潜在预测作用。本研究调查了中国青少年睡眠障碍和抑郁症的模式及转变情况，以及生活压力和心理韧性在这些模式及转变中的预测作用。共有17404名青少年（平均年龄12.1±1.2岁，年龄范围为10至17岁；女性占48.4%）于2021年4月21日至5月12日进行基线评估（时间1，T1），6个月后于2021年12月17日至26日进行评估（时间2，T2），1年后于2022年5月17日至6月6日进行评估（时间3，T3）。我们使用潜在类别分析和潜在转变分析（LTA）来探索睡眠障碍和抑郁症的模式及其随时间的转变。进行多变量逻辑回归以证明压力和心理韧性在这些模式及转变中的预测作用。在所有三个时间点上，一致识别出三种模式：低水平模式、中度共病模式和高度共病模式。三种模式呈现出不同的转变模式，处于高度共病模式的青少年表现出最高水平的转变。逻辑回归表明，人际和学业压力更大或心理韧性较低的青少年更有可能属于或转变为风险模式。认识到亚组差异对于理解睡眠障碍和抑郁症的共病及转变至关重要。压力和心理韧性，尤其是人际压力，是重要的预测因素。这凸显了动态监测睡眠障碍和抑郁症变化以及识别心理韧性和压力因素的必要性，这对于制定干预计划至关重要。
