PDF(Pubmed)
Abstract：
UNASSIGNED: To explore the impact of COVID-19 on the sleep of healthcare workers from Fujian Province supporting Hubei Province and its related risk factors.
UNASSIGNED: A cross-sectional, anonymous, self-reported online questionnaire survey was conducted among all participants. The questionnaire consisted of five parts: sociodemographic characteristics and COVID-19 epidemic-related factors, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Morningness-Eveningness Questionnaire-5 (MEQ-5), and 12-item General Health Questionnaire (GHQ-12).
UNASSIGNED: Among 552 participants, 203 (36.8%) had a PSQI score > 7, indicating the presence of sleep disorders. Logistic regression analysis revealed that sleep disorders were independently associated with a history of previously diagnosed sleep disorders (OR 6.074, 95% CI 2.626-14.049, P < 0.001), rotating night shifts > 3 times per week (OR 3.089, 95% CI 1.650-5.781, P < 0.001), using electronic devices before sleep >1 h (OR 1.685, 95% CI 1.131-2.511, P = 0.010), concern about contracting COVID-19 (OR 1.116, 95% CI 1.034-1.204, P = 0.005), perception of societal support for supporting healthcare workers in Hubei (OR 0.861,95% CI 0.744-0.998, P = 0.047) (OR 0.861, 95% CI 0.744-0.998, P = 0.047), non-medical staff (OR 0.257, 95% CI 0.067-0.987, P = 0.048), ESS score (OR 1.068, 95% CI 1.018-1.121, P = 0.007), and GHQ-12 score (OR 1.511, 95% CI 1.281-1.782, P < 0.001).
UNASSIGNED: Sleep disorders were highly prevalent among healthcare workers from Fujian Province supporting Hubei Province during the COVID-19 pandemic. Risk factors for sleep disorders included a history of previously diagnosed sleep disorders, rotating night shifts > 3 times per week, using electronic devices before sleep >1 h, excessive concern about contracting COVID-19, and poorer psychological health. Higher perceived societal support and understanding of support for healthcare workers supporting Hubei were associated with a reduced risk of sleep disorders, as was being non-medical staff. Providing more sleep hygiene education and psychological health services for frontline healthcare workers is necessary.
UNASSIGNED: A cross-sectional, anonymous, self-reported online questionnaire survey was conducted among all participants. The questionnaire consisted of five parts: sociodemographic characteristics and COVID-19 epidemic-related factors, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Morningness-Eveningness Questionnaire-5 (MEQ-5), and 12-item General Health Questionnaire (GHQ-12).
UNASSIGNED: Among 552 participants, 203 (36.8%) had a PSQI score > 7, indicating the presence of sleep disorders. Logistic regression analysis revealed that sleep disorders were independently associated with a history of previously diagnosed sleep disorders (OR 6.074, 95% CI 2.626-14.049, P < 0.001), rotating night shifts > 3 times per week (OR 3.089, 95% CI 1.650-5.781, P < 0.001), using electronic devices before sleep >1 h (OR 1.685, 95% CI 1.131-2.511, P = 0.010), concern about contracting COVID-19 (OR 1.116, 95% CI 1.034-1.204, P = 0.005), perception of societal support for supporting healthcare workers in Hubei (OR 0.861,95% CI 0.744-0.998, P = 0.047) (OR 0.861, 95% CI 0.744-0.998, P = 0.047), non-medical staff (OR 0.257, 95% CI 0.067-0.987, P = 0.048), ESS score (OR 1.068, 95% CI 1.018-1.121, P = 0.007), and GHQ-12 score (OR 1.511, 95% CI 1.281-1.782, P < 0.001).
UNASSIGNED: Sleep disorders were highly prevalent among healthcare workers from Fujian Province supporting Hubei Province during the COVID-19 pandemic. Risk factors for sleep disorders included a history of previously diagnosed sleep disorders, rotating night shifts > 3 times per week, using electronic devices before sleep >1 h, excessive concern about contracting COVID-19, and poorer psychological health. Higher perceived societal support and understanding of support for healthcare workers supporting Hubei were associated with a reduced risk of sleep disorders, as was being non-medical staff. Providing more sleep hygiene education and psychological health services for frontline healthcare workers is necessary.
摘要：
■探讨COVID-19对支持湖北省的福建省医护人员睡眠的影响及其相关危险因素。
■横截面，匿名,在所有参与者中进行自我报告的在线问卷调查.问卷包括五个部分：社会人口统计学特征和COVID-19流行相关因素，匹兹堡睡眠质量指数（PSQI）Epworth嗜睡量表（ESS），早晨-均匀性问卷-5(MEQ-5)，和12项一般健康问卷(GHQ-12)。
■在552名参与者中，203（36.8％）的PSQI评分>7，表明存在睡眠障碍。Logistic回归分析显示睡眠障碍与既往睡眠障碍病史独立相关(OR6.074,95%CI2.626-14.049,P<0.001),每周夜班>3次（OR3.089，95％CI1.650-5.781，P<0.001），睡眠前使用电子设备>1小时(OR1.685，95%CI1.131-2.511，P=0.010)，对感染COVID-19的关注(OR1.116，95%CI1.034-1.204，P=0.005)，湖北支持医护人员的社会支持感知(OR0.861,95%CI0.744-0.998,P=0.047)(OR0.861,95%CI0.744-0.998,P=0.047),非医务人员（OR0.257，95%CI0.067-0.987，P=0.048），ESS评分（OR1.068，95%CI1.018-1.121，P=0.007），GHQ-12评分(OR1.511,95%CI1.281-1.782,P<0.001)。
■在COVID-19大流行期间，福建省支持湖北省的医护人员中睡眠障碍非常普遍。睡眠障碍的危险因素包括先前诊断的睡眠障碍史，每周轮夜班>3次，睡眠前使用电子设备>1小时，过度担心感染COVID-19，心理健康较差。更高的感知社会支持和对支持湖北的医护人员的支持的理解与睡眠障碍的风险降低有关。就像非医务人员一样。为一线医护人员提供更多的睡眠卫生教育和心理健康服务是必要的。
■横截面，匿名,在所有参与者中进行自我报告的在线问卷调查.问卷包括五个部分：社会人口统计学特征和COVID-19流行相关因素，匹兹堡睡眠质量指数（PSQI）Epworth嗜睡量表（ESS），早晨-均匀性问卷-5(MEQ-5)，和12项一般健康问卷(GHQ-12)。
■在552名参与者中，203（36.8％）的PSQI评分>7，表明存在睡眠障碍。Logistic回归分析显示睡眠障碍与既往睡眠障碍病史独立相关(OR6.074,95%CI2.626-14.049,P<0.001),每周夜班>3次（OR3.089，95％CI1.650-5.781，P<0.001），睡眠前使用电子设备>1小时(OR1.685，95%CI1.131-2.511，P=0.010)，对感染COVID-19的关注(OR1.116，95%CI1.034-1.204，P=0.005)，湖北支持医护人员的社会支持感知(OR0.861,95%CI0.744-0.998,P=0.047)(OR0.861,95%CI0.744-0.998,P=0.047),非医务人员（OR0.257，95%CI0.067-0.987，P=0.048），ESS评分（OR1.068，95%CI1.018-1.121，P=0.007），GHQ-12评分(OR1.511,95%CI1.281-1.782,P<0.001)。
■在COVID-19大流行期间，福建省支持湖北省的医护人员中睡眠障碍非常普遍。睡眠障碍的危险因素包括先前诊断的睡眠障碍史，每周轮夜班>3次，睡眠前使用电子设备>1小时，过度担心感染COVID-19，心理健康较差。更高的感知社会支持和对支持湖北的医护人员的支持的理解与睡眠障碍的风险降低有关。就像非医务人员一样。为一线医护人员提供更多的睡眠卫生教育和心理健康服务是必要的。
