The People's Hospital of Ya'an, Ya'an, Sichuan, China.
Wenjiang District People's Hospital of Chengdu, Chengdu, Sichuan, China.
Front Public Health. 2024 Nov 8;12:1385639. doi: 10.3389/fpubh.2024.1385639. eCollection 2024.
This study investigates the sleep patterns among vocational college students and examines their association with anxiety and depression amidst the ongoing normalization of COVID-19 management strategies.
In the period of January to February 2022, a comprehensive survey was conducted involving a random sample of 3,300 students. By employing face-to-face interviews, data on general demographics, along with levels of anxiety, depression, and sleep quality, were meticulously gathered and analyzed.
Out of the 3,049 questionnaires deemed valid for analysis, the prevalence rates for anxiety, depression, and insomnia were found to be 9.7, 14.1, and 81.9%, respectively. Through regression analysis, several factors were identified as significant predictors of insomnia: female gender, a self-perceived average or poor family economic status over the last year, moderate psychological stress due to the pandemic and its associated restrictions, extended daily screen time during the pandemic, absence of a routine physical exercise regime, significant disruption or alteration of daily life routines due to the pandemic, presence of anxiety and depression symptoms during the pandemic, and only partial restoration of normal life routines post-pandemic control measures ( < 0.001, < 0.005, or < 0.050). A strong correlation was observed among the symptoms of anxiety, depression, and insomnia (all < 0.001). The correlation between stress and depression, depression and insomnia, and anxiety and insomnia were 0.824, 0.714, 0.620, respectively, (all < 0.001).
Given the substantial impact of abrupt or prolonged crisis events, it is imperative to develop and implement specific intervention strategies aimed at safeguarding the psychological well-being of college students.
本研究调查了职业院校学生的睡眠模式,并探讨了在 COVID-19 管理策略常态化的背景下,睡眠模式与焦虑和抑郁的关系。
在 2022 年 1 月至 2 月期间,采用整群随机抽样方法对 3300 名学生进行了全面调查。通过面对面访谈,详细收集并分析了一般人口统计学数据、焦虑、抑郁和睡眠质量水平的数据。
在 3049 份有效问卷中,焦虑、抑郁和失眠的患病率分别为 9.7%、14.1%和 81.9%。通过回归分析,确定了几个与失眠显著相关的因素:女性、自我感知过去一年家庭经济状况一般或较差、因大流行及其相关限制而导致的中度心理压力、大流行期间每天屏幕使用时间延长、没有常规的体育锻炼计划、因大流行而导致日常生活规律严重中断或改变、大流行期间存在焦虑和抑郁症状、以及大流行控制措施后仅部分恢复正常生活规律( < 0.001、 < 0.005 或 < 0.050)。焦虑、抑郁和失眠症状之间存在显著相关性(均 < 0.001)。压力与抑郁、抑郁与失眠、焦虑与失眠之间的相关性分别为 0.824、0.714、0.620(均 < 0.001)。
鉴于突发或长期危机事件的重大影响,制定和实施专门的干预策略来保护大学生的心理健康至关重要。