Zhang Xiangting, Zhang Yifan, Bu Luowei, Li Huolian, Ye Haoxian, 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 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.
Sleep Med. 2024 Dec;124:591-597. doi: 10.1016/j.sleep.2024.10.031. Epub 2024 Oct 28.
This study aimed to investigate the developmental trajectories of sleep disturbance symptoms and examine whether specific trajectory memberships of sleep disturbance symptoms could prospectively predict suicidal ideation (SI) among a large sample of Chinese adolescents over one year.
A three-wave longitudinal study was conducted from April 2021 to June 2022, with a sample of 19,095 adolescents from Shenzhen in Guangdong Province, China (51.2 % males; mean age = 12.4 ± 1.6 years at baseline). Socio-demographics (at baseline), SI, sleep disturbance symptoms (at each assessment), depressive symptoms (at the last follow-up), and negative life events (at two follow-ups) were assessed. Data were analyzed employing Growth Mixture Modeling and binary logistic regressions.
The Growth Mixture Modeling identified four trajectories of sleep disturbance symptoms over one year: resistant group (76.2 %), delayed-dysfunction group (8.8 %), recovery group (7.4 %), and chronic-dysfunction group (7.6 %). Binary logistic regression analysis revealed that adolescents in the group of delayed-dysfunction (OR = 2.86, 95 % CI = 2.51-3.27) and chronic-dysfunction (OR = 2.14, 95 % CI = 1.84-2.47) exhibited higher risks of developing SI compared to those in the resistant group, even after controlling for socio-demographics, negative life events, depressive symptoms, and baseline SI.
These findings underscore the importance of identifying individuals at higher risks of sleep disturbance and providing personalized and effective mental health services to reduce the incidence of SI.
本研究旨在调查睡眠障碍症状的发展轨迹，并探讨睡眠障碍症状的特定轨迹类别是否能前瞻性地预测一大群中国青少年在一年时间内的自杀意念（SI）。
于2021年4月至2022年6月进行了一项三波纵向研究，样本为来自中国广东省深圳市的19095名青少年（男性占51.2%；基线时平均年龄 = 12.4 ± 1.6岁）。评估了社会人口统计学特征（基线时）、自杀意念、睡眠障碍症状（每次评估时）、抑郁症状（最后一次随访时）和负面生活事件（两次随访时）。采用生长混合模型和二元逻辑回归分析数据。
生长混合模型确定了一年中睡眠障碍症状的四种轨迹：抗性组（76.2%）、延迟功能障碍组（8.8%）、恢复组（7.4%）和慢性功能障碍组（7.6%）。二元逻辑回归分析显示，即使在控制了社会人口统计学特征、负面生活事件、抑郁症状和基线自杀意念后，延迟功能障碍组（OR = 2.86，95% CI = 2.51 - 3.27）和慢性功能障碍组（OR = 2.14，95% CI = 1.84 - 2.47）的青少年出现自杀意念的风险高于抗性组。
这些发现强调了识别睡眠障碍高风险个体并提供个性化有效心理健康服务以降低自杀意念发生率的重要性。
