Liao Wenna, Luo Xianghan, Sun Yongpeng, Kong Fanxu, Ye Zengjie
Department of Public Teaching, Guangdong Open University, Guangzhou, Guangdong Province, 510091, People's Republic of China.
The Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, 510378, People's Republic of China.
Nat Sci Sleep. 2025 Sep 13;17:2223-2235. doi: 10.2147/NSS.S552062. eCollection 2025.
Nonrestorative sleep (NRS) is common among college students; however, its temporal changes and predictors are poorly understood. This study aimed to identify NRS trajectories among first-year Chinese college students and to examine how childhood emotional abuse (EA) and resilience predict these trajectories.
Six hundred and fourteen first-year Chinese college students were enrolled in a 12-month longitudinal tracking study, assessed by the Childhood Trauma Questionnaire-Short Form, 10-item Connor-Davidson Resilience Scale, Morning and Evening Questionnaire-5, and NRS Scale (NRSS). Data were analyzed employing latent growth curve modeling, latent class growth modeling, and multivariable logistic regression.
The global score of NRSS (higher scores indicate fewer symptoms of NRS) showed a linear increase overall. EA predicted poorer restorative sleep at baseline (β = -0.255, < 0.001). Resilience predicted better restorative sleep over time (β = 0.271, β = 0.327, β = 0.292, all < 0.001). Latent class analysis identified two NRSS trajectories: (a) high-increasing class (41.5% of the sample; declining NRS) and (b) low-stable class (58.5%; persistent high NRS). Higher levels of EA corresponded to greater likelihood of belonging to the low-stable class relative to the high-increasing class (OR=1.177, 95% CI [1.106, 1.252]). In contrast, higher resilience corresponded to lower likelihood of being in the low-stable class (OR=0.915, 95% CI [0.890, 0.941]).
EA is a predisposing factor for NRS among college students, while resilience is a protective factor for restorative sleep. It is essential to consider EA and resilience in any intervention efforts to reduce NRS.
非恢复性睡眠(NRS)在大学生中很常见;然而,人们对其随时间的变化和预测因素了解甚少。本研究旨在确定中国一年级大学生的NRS轨迹,并探讨童年期情感虐待(EA)和心理韧性如何预测这些轨迹。
614名中国一年级大学生参加了一项为期12个月的纵向跟踪研究,通过儿童创伤问卷简版、10项Connor-Davidson心理韧性量表、早晚问卷-5和NRS量表(NRSS)进行评估。采用潜在增长曲线模型、潜在类别增长模型和多变量逻辑回归分析数据。
NRSS的总体得分(得分越高表明NRS症状越少)总体呈线性上升。EA预测基线时恢复性睡眠较差(β = -0.255,P < 0.001)。心理韧性预测随着时间推移恢复性睡眠更好(β = 0.271,β = 0.327,β = 0.292,均P < 0.001)。潜在类别分析确定了两条NRSS轨迹:(a)高增长类别(占样本的41.5%;NRS下降)和(b)低稳定类别(占58.5%;持续高NRS)。与高增长类别相比,EA水平越高,属于低稳定类别的可能性越大(OR = 1.177,95%CI [1.106, 1.252])。相反,心理韧性越高,处于低稳定类别的可能性越低(OR = 0.915,95%CI [0.890, 0.941])。
EA是大学生NRS的一个诱发因素,而心理韧性是恢复性睡眠的一个保护因素。在任何减少NRS的干预措施中,都必须考虑EA和心理韧性。