School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, Shanghai, China.
J Sleep Res. 2023 Aug;32(4):e13817. doi: 10.1111/jsr.13817. Epub 2023 Jan 23.
Insomnia displays heterogeneous trajectories across adolescence, which may induce addictive behaviours, including internet gaming disorder and substance use. This study aimed to investigate the latent trajectory classes of insomnia symptoms over 2 years and to examine the associations between insomnia trajectories and these addictive behaviours. Participants were 910 adolescents from six middle schools in Shanghai, China (52.7% males; mean age = 13.17 years). The three-wave survey measured insomnia symptoms, internet gaming disorder, substance use, depressive symptoms, and sociodemographic characteristics from 7th to 9th grade. Latent class growth modelling was performed to identify the latent trajectory classes of insomnia symptoms. Then multivariable logistic regressions were conducted within the best-fitting latent class growth model to examine the associations of insomnia trajectories with internet gaming disorder and substance use. Two latent trajectory classes of insomnia symptoms were recognised: the non-insomnia group (71.8%) and the insomnia group (28.2%). In the multivariable analysis controlling for baseline demographic variables and depressive symptoms, the insomnia group had a higher risk of developing internet gaming disorder (OR = 2.203 [95% CI: 1.258-3.858]) and substance use (OR = 2.215 [95% CI: 1.324-3.705]) compared with the non-insomnia group. These findings add to a growing body of research on heterogeneous trajectories of insomnia symptoms during adolescence, suggesting that intervention strategies are needed to target the characteristics or developmental patterns of different insomnia subgroups. The ultimate goal is to mitigate the impact of insomnia symptoms on adolescent addictive behaviours.
失眠在青少年时期表现出异质的轨迹,这可能导致成瘾行为,包括网络成瘾障碍和物质使用。本研究旨在调查失眠症状在 2 年内的潜在轨迹类别,并探讨失眠轨迹与这些成瘾行为之间的关联。参与者是来自中国上海六所中学的 910 名青少年(男性占 52.7%;平均年龄 13.17 岁)。从 7 年级到 9 年级,三次调查测量了失眠症状、网络成瘾障碍、物质使用、抑郁症状和社会人口特征。采用潜在类别增长建模来识别失眠症状的潜在轨迹类别。然后,在最佳拟合的潜在类别增长模型内进行多变量逻辑回归,以检验失眠轨迹与网络成瘾障碍和物质使用之间的关联。识别出失眠症状的两个潜在轨迹类别:非失眠组(71.8%)和失眠组(28.2%)。在多变量分析中,控制基线人口统计学变量和抑郁症状后,失眠组患网络成瘾障碍(OR=2.203 [95%CI:1.258-3.858])和物质使用(OR=2.215 [95%CI:1.324-3.705])的风险高于非失眠组。这些发现增加了关于青少年时期失眠症状异质轨迹的研究,表明需要针对不同失眠亚组的特征或发展模式制定干预策略。最终目标是减轻失眠症状对青少年成瘾行为的影响。