Latent Profiles and Transitions of Bedtime Procrastination Among Chinese College Students: The Predictive Roles of Anxiety, Depression, Problematic Smartphone Use and Self-Control.
Lan Hong, Huihui Xu, Jiaqi Zheng, Xiujian Lin, Lijun Wang, Chengjia Zhao, Xiaolian Tu, Jingjing Zhang, Ke Zhao, Guohua Zhang
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引用次数: 0
Abstract
Background: Bedtime procrastination (BP) has become an important factor affecting individual well-being. This study aimed to assess the stability and changes in BP and examine risk and protective factors.
Methods: The study recruited 1423 respondents. Latent profile analysis was used to identify subgroups of BP and latent transition analysis to determine transition probabilities for each subgroup. Logistic regression examined associations between identified classes and related factors.
Results: Three subgroups of BP were identified. In terms of stability and changes, the moderate bedtime procrastination group showed the highest stability (66%), followed by the severe bedtime procrastination group (62.4%), and the mild bedtime procrastination group had a 52% probability of switching to moderate bedtime procrastination. In terms of influencing factors, more problematic phone use (PSU) (OR: 1.08; 95% CI = 1.05-1.12), more depression (OR: 1.17; 95% CI = 1.06-1.29) and anxiety (OR: 1.16; 95% CI = 1.05-1.28) are all factors that aggravate the transition from mild to moderate sleep procrastination. Similarly, PSU (OR: 1.15; 95% CI = 1.12-1.19), anxiety (OR: 1.10; 95% CI = 1.06-1.14), and depression (OR: 1.10; 95% CI = 1.06-1.14) increased the risk of severe bedtime procrastination. Self-control emerged as a protective factor against BP.
Conclusion: This study identified three subgroups of BP at two time points and the rule of transition for each subgroup. Our findings indicate that BP were relatively stable, with some changes over time. The results also highlight the important function that PSU, depression, anxiety, and self-control can play in preventing and intervening in BP.
背景:睡前拖延症(BP)已成为影响个人福祉的一个重要因素。本研究旨在评估睡前拖延症的稳定性和变化,并探讨其风险和保护因素:研究招募了 1423 名受访者。采用潜在特征分析来确定 BP 的亚组,并采用潜在转换分析来确定每个亚组的转换概率。逻辑回归检验了所确定的类别与相关因素之间的关联:结果:确定了血压的三个亚组。在稳定性和变化方面,中度睡前拖延症组的稳定性最高(66%),其次是重度睡前拖延症组(62.4%),轻度睡前拖延症组转为中度睡前拖延症的概率为52%。在影响因素方面,更多使用问题手机(PSU)(OR:1.08;95% CI = 1.05-1.12)、更多抑郁(OR:1.17;95% CI = 1.06-1.29)和焦虑(OR:1.16;95% CI = 1.05-1.28)都是加重轻度睡眠拖延向中度睡眠拖延转变的因素。同样,PSU(OR:1.15;95% CI = 1.12-1.19)、焦虑(OR:1.10;95% CI = 1.06-1.14)和抑郁(OR:1.10;95% CI = 1.06-1.14)也会增加严重睡前拖延症的风险。自我控制是血压的保护因素:本研究确定了两个时间点血压的三个亚组以及每个亚组的过渡规则。我们的研究结果表明,血压相对稳定,但随着时间的推移会发生一些变化。研究结果还强调了 PSU、抑郁、焦虑和自我控制在预防和干预血压方面的重要作用。
期刊介绍:
Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep.
Specific topics covered in the journal include:
The functions of sleep in humans and other animals
Physiological and neurophysiological changes with sleep
The genetics of sleep and sleep differences
The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness
Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness
Sleep changes with development and with age
Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause)
The science and nature of dreams
Sleep disorders
Impact of sleep and sleep disorders on health, daytime function and quality of life
Sleep problems secondary to clinical disorders
Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health)
The microbiome and sleep
Chronotherapy
Impact of circadian rhythms on sleep, physiology, cognition and health
Mechanisms controlling circadian rhythms, centrally and peripherally
Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health
Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption
Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms
Epigenetic markers of sleep or circadian disruption.