The trajectories and associations of sleep disturbance symptoms with suicidal ideation in adolescents: A three-wave longitudinal study

IF 3.8 2区 医学 Q1 CLINICAL NEUROLOGY Sleep medicine Pub Date : 2024-10-28 DOI:10.1016/j.sleep.2024.10.031
Xiangting Zhang, Yifan Zhang, Luowei Bu, Huolian Li, Haoxian Ye, Dongfang Wang, Fang Fan
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Abstract

Background

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.

Methods

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.

Results

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.

Conclusions

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.
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青少年睡眠障碍症状与自杀意念的轨迹和关联:三波纵向研究。
研究背景本研究旨在调查睡眠障碍症状的发展轨迹,并研究睡眠障碍症状的特定轨迹成员是否能在一年内预测中国青少年自杀意念(SI):从2021年4月至2022年6月,我们对中国广东省深圳市的19095名青少年(51.2%为男性;基线时平均年龄为(12.4 ± 1.6)岁)进行了三波纵向研究。对社会人口统计学(基线时)、SI、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)进行了评估。采用成长混合模型和二元逻辑回归对数据进行了分析:成长混合模型确定了一年内睡眠障碍症状的四种轨迹:抵抗组(76.2%)、功能延迟组(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、负面生活事件、抑郁症状和基线 SI 后,功能延迟组(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)的青少年患 SI 的风险仍高于抵抗组:这些发现强调了识别睡眠障碍高风险人群并提供个性化和有效的心理健康服务以降低 SI 发生率的重要性。
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来源期刊
Sleep medicine
Sleep medicine 医学-临床神经学
CiteScore
8.40
自引率
6.20%
发文量
1060
审稿时长
49 days
期刊介绍: Sleep Medicine aims to be a journal no one involved in clinical sleep medicine can do without. A journal primarily focussing on the human aspects of sleep, integrating the various disciplines that are involved in sleep medicine: neurology, clinical neurophysiology, internal medicine (particularly pulmonology and cardiology), psychology, psychiatry, sleep technology, pediatrics, neurosurgery, otorhinolaryngology, and dentistry. The journal publishes the following types of articles: Reviews (also intended as a way to bridge the gap between basic sleep research and clinical relevance); Original Research Articles; Full-length articles; Brief communications; Controversies; Case reports; Letters to the Editor; Journal search and commentaries; Book reviews; Meeting announcements; Listing of relevant organisations plus web sites.
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