scholarly journals Sleep quality and mental health of medical workers during the coronavirus disease 2019 pandemic

2020 ◽  
Author(s):  
Yahua Zheng ◽  
Lili Wang ◽  
Lingfei Feng ◽  
Lingxiao Ye ◽  
Aiping Zhang ◽  
...  

Abstract Purpose To assess the sleep quality, mental health status and associated factors among medical workers during the coronavirus disease 2019 (COVID-19) pandemic. Methods A cross-sectional study was conducted and medical workers in Ningbo, China were recruited. Sleep quality was evaluated by Pittsburgh Sleep Quality Index (PSQI). Mental health status was evaluated by Symptom Checklist 90(SCL-90). Logistic regression and generalized multi-factor dimensionality reduction (GMDR) analysis were utilized to explore the risk factors and their interactions on sleep quality and mental health status. Results 207 participants were surveyed, 34.3% were found with poor sleep quality (total PSQI score > 10), mainly manifested as sleep disturbance (92.8%). 27.05% were found with mental symptoms (Global severity index > 1.5), mainly manifested as obsessive-compulsive (25.6%). Multivariate logistic analysis showed male (OR = 3.886, 95%CI = 1.061-14.239, P = 0.040), working years >15 years (OR = 4.505, 95%CI = 1.561-12.998, P = 0.005), nurse (OR = 5.642, 95%CI = 1.347-23.632, P = 0.018), more night shifts (OR = 3.098, 95%CI = 1.308-7.336, P = 0.010), supporting Wuhan (OR = 3.413, 95%CI = 1.120-10.395, P = 0.031) were associated with poor sleep quality. GMDR analysis showed there was a two-factor interaction between working years and working shifts (P = 0.0107). No significant factors and interactions were found associated with mental symptoms. Conclusions About one-third of medical workers suffered from sleep and mental problems during the COVID-19 pandemic in the current study. Interventions for sleep and mental problems among medical workers were needed based on related factors.

2021 ◽  
Author(s):  
Qingyun Zhao ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
Chunyu Pan

Abstract Introduction: We determined the prevalence of anxiety and the associated risk factors in in frontline nurses under COVID-19 pandemic. Methods: This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 532 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, anxiety, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression.Results: Of the nurses enrolled in the study, 33.60% had anxiety. Five independent risk factors were identified for anxiety: poor sleep quality (OR=1.235), experienced major events (OR=1.653), lower resilience and optimism of psychological capital (OR=0.906, and OR=0.909) and no visiting friend constantly (OR=0.629). Conclusions: This study revealed a considerable high prevalence of anxiety in frontline nurses during the COVID-19 outbreak, and identified five risk factors, which were poor sleep quality, experienced major events, lower resilience and optimism of psychological capital, and no visiting friend rarely. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of anxiety and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.


2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
S.K. Malakouti ◽  
M. Foroughan ◽  
M. Nojomi ◽  
M. Ghalebandi

Complaints of sleep disturbance increase with age and many studies have been reported on the relation of sleep problems with greater use of health services, physical and mental morbidity, functional decline and all cause mortality. This study aimed to examine the sleep patterns and sleep disturbances in Iranian older people and to see how their sleep quality relates to their health status. 400 men and women, 60 years or older, interviewed by trained psychiatrist regarding their physical and mental health status, then the Pittsburg Sleep Quality Index, the Epworth Sleepiness Scale, and General Health Questionnaire implemented on them. The gathered data analyzed by chi-square test, t-test, one-way analysis of variance and logistic regression. The results showed that the majority of participants (82.6%) suffered from poor sleep quality and approximately one third had sleepiness (29.2%) during daytime. Difficulty falling (p≤0.001) and maintaining (p≤0.01) sleep and feeling too hot at night sleep (p≤0.005) were significantly more prevalent in women, but men suffered more from leg twitching (p≤0.01). Being female (OR=2.52), and having GHQ scores more than 11 (OR=4.14) increased the risk of poor sleep quality considerably. Promoting sleep hygiene education and screening of mental health problems in primary health care services for older people are recommended.


2021 ◽  
Vol 9 ◽  
Author(s):  
Md. Saiful Islam ◽  
Md. Estiar Rahman ◽  
Abdullah Al Zubayer ◽  
Md. Rifat Al Mazid Bhuiyan ◽  
Md. Kamrul Ahsan Khan ◽  
...  

Background: The coronavirus disease 2019 (COVID-19) pandemic has adversely affected the sleep quality of individuals, and is a poorly investigated area. This study aimed to investigate the prevalence estimate of poor sleep quality and its associated factors among Bangladeshi residents during the COVID-19 pandemic.Methods: An online cross-sectional survey was carried out from July 20 to August 5, 2020, involving 975 Bangladeshi residents (male: 54.2%; mean age: 26.7 ± 9.4 years; age range: 18–75 years). A self-reported questionnaire was answered by the respondents, covering information on demographic characteristics, perceived physical health status, COVID-19-related factors, COVID-19-induced anxiety assessment, and sleep quality. To assess sleep quality, the Bangla version of the Pittsburgh Sleep Quality Index was used. Logistic regression models were performed to analyze the factors associated with sleep quality.Results: The prevalence estimate of poor sleep quality was 55.1% among the Bangladeshi people during the COVID-19 pandemic. As per the multiple regression analysis, poor sleep quality was significantly higher among respondents who reported female gender, moderate/poor health status, indirect contact with COVID-19 infected patients, decreased household income due to the COVID-19 pandemic, fear of infection, and COVID-19-induced anxiety.Conclusion: Poor sleep quality was slightly prevalent among general people in Bangladesh during the COVID-19 pandemic. The findings indicate an immediate response for this vulnerable group to improve the sleep quality during the public health emergency of COVID-19.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.


Author(s):  
Wenwen Wu ◽  
Wenru Wang ◽  
Zhuangzhuang Dong ◽  
Yaofei Xie ◽  
Yaohua Gu ◽  
...  

Background: There is limited population-based research focusing on sleep quality among low-income Chinese adults in rural areas. This study aimed to assess sleep quality among low-income adults in a rural area in China and identify the association between sleep quality and sociodemographic, lifestyle and health-related factors. Methods: The study was conducted from September to November in 2017 using a cross-sectional survey questionnaire. A total of 6905 participants were recruited via multistage, stratified cluster sampling. Data were collected using the Chinese versions of Pittsburgh Sleep Quality Index and Food Frequency Questionnaire, while we also determined the sociodemographic profiles of the participants. Results: The mean age of the sample was 58.71 ± 14.50 years, with 59.7% being male, while the mean duration of daily sleep was 5.95 ± 1.31 h, with 56.7% reportedly experiencing poor sleep quality. Multiple regression analysis revealed that older age, unemployment, lower income, disability and chronic disease comorbidities were significant factors associated with an increased risk of poor sleep quality for both genders. Moreover, married and higher education level were associated with decreased risk of poor sleep quality for females, while a meat-heavy diet and illness during the past two weeks increased the risk of poor sleep quality for males. Conclusions: Sociodemographic, lifestyle and health-related factors had an impact on the frequently poor sleep quality of low-income Chinese adults in rural areas. Thus, comprehensive measures must be developed to address the modifiable predictive factors that can possibly enhance sleep quality.


2019 ◽  
Vol 25 (6) ◽  
pp. 583-594 ◽  
Author(s):  
Weizhen Xie ◽  
Anne Berry ◽  
Cindy Lustig ◽  
Patricia Deldin ◽  
Weiwei Zhang

AbstractObjectives:Reduction in the amount of information (storage capacity) retained in working memory (WM) has been associated with sleep loss. The present study examined whether reduced WM capacity is also related to poor everyday sleep quality and, more importantly, whether the effects of sleep quality could be dissociated from the effects of depressed mood and age on WM.Methods:In two studies, WM was assessed using a short-term recall task, producing behavioral measures for both the amount of retained WM information (capacity) and how precise the retained WM representations were (precision). Self-report measures of sleep quality and depressed mood were obtained using questionnaires.Results:In a sample of college students, Study 1 found that poor sleep quality and depressed mood could independently predict reduced WM capacity, but not WM precision. Study 2 generalized these sleep- and mood-related WM capacity effects to a community sample (aged 21–77 years) and further showed that age was associated with reduced WM precision.Conclusions:Together, these findings demonstrate dissociable effects of three health-related factors (sleep, mood, and age) on WM representations and highlighte the importance of assessing different aspects of WM representations (e.g., capacity and precision) in future neuropsychological research.


2021 ◽  
Vol 3 (1) ◽  
pp. 12-17
Author(s):  
İbrahim Halil Türkbeyler ◽  
Ahmet Çiğiloğlu ◽  
Eyyüp Murat Efendioğlu ◽  
Zeynel Abidin Öztürk

2021 ◽  
Vol 12 ◽  
Author(s):  
Min Xie ◽  
Yiguo Tang ◽  
Ling Zhu ◽  
Minhan Dai ◽  
Yulu Wu ◽  
...  

Background: Coronavirus-2019 (COVID-19) has been coexisting with humans for almost 2 years, consistently impacting people's daily life, medical environment, and mental health. This study aimed to test the series mediation model triggered by childhood trauma, in which perceived psychological impact of COVID-19 pandemic and sleep quality mediated the path sequentially and led to adverse mental health outcomes.Methods: A cross-sectional design involving 817 participants were enrolled via WeChat online survey. Participants completed questionnaires, including demographic features, the Childhood Trauma Questionnaire, Impact of Event Scale-Revised (IES-R) questionnaire, Pittsburgh Sleep Quality Index (PSQI) questionnaire, and Depression, Anxiety, and Stress Scale (DASS-21). Pearson correlations and hierarchical multiple linear regression were employed to examine the association of childhood trauma and psychological stress of COVID-19, sleep quality, and mental health status. In addition, a series mediate analysis was carried out to examine sequence mediating effects of psychological impact of COVID-19 and sleep quality between childhood trauma and mental health status.Results: The results showed that childhood trauma is positively and significantly related to psychological distress of COVID-19 pandemic, sleep quality, and mental health status (p < 0.05). Hierarchical multiple linear regression analysis shown that demographic features explained 4.4, 2.1, and 4.0% of the total variance in DASS-21, IES-R, and PSQI total scale scores, respectively. Adding childhood trauma significantly increased the model variance of DASS-21 (ΔR2 = 0.129, F = 126.092, p = 0.000), IES-R (ΔR2 = 0.062, F = 54.771, p = 0.000), and PSQI total scale scores (ΔR2 = 0.055, F = 48.733, p = 0.000), respectively. Moreover, the series mediation model showed that the perceived impact of the COVID-19 pandemic and sleep quality were sequential mediators between childhood trauma and mental health status (proportion explained: 49.17%, p < 0.05).Conclusion: Amid the ravages of COVID-19, childhood trauma predicts poor mental health status, in part because of greater psychological impact related to COVID-19 and poorer global sleep quality. In order to improve mental health, future researchers should pay more attention to individuals with childhood trauma, for its association with greater stress related to life events and poorer sleep quality.


2015 ◽  
Vol 11 (02) ◽  
pp. 111-116 ◽  
Author(s):  
Michelle O'Sullivan ◽  
Masuma Rahim ◽  
Christopher Hall

2021 ◽  
Author(s):  
Naveen Siddique Sheikh ◽  
Aiza Anwar ◽  
Iqra Pervaiz ◽  
Zunaira Arshad ◽  
Huma Saeed Khan ◽  
...  

Background and objectives: The COVID-19 pandemic has been recognized as a cause of direct and indirect psychological consequences that impact mental health such as acute stress disorders, anxiety, irritability, poor concentration, and insomnia. This study was planned to evaluate the sleep quality and mental health of undergraduate students amidst the COVID-19 lockdown of 2021. Materials and Methods: This observational cross-sectional study was conducted in Lahore, Pakistan, where 261 undergraduate medical and dental students enrolled at a private medical and dental school were approached from March to May 2021. The Pittsburg Sleep Quality Index (PSQI) was used to identify the sleep quality along with the Generalized Anxiety Disorder Scale (GAD-7) to establish anxiety symptoms and the Physical Health Questionnaire (PHQ-9) for depression symptoms. Results: The results show that 212 (81.2%) female and 49 (18.8%) male students participated in the study. Of the participants 75.1% experienced poor sleep quality, 90% had symptoms of depression, and 85.4% had symptoms of anxiety. The mean score on the PSQI scale was 8.59+4.10, on the GAD-7 scale was 11.36+5.94 and on the PHQ-9 scale was 13.70+6.81. Multiple regression analysis showed that anxiety symptoms (β = 0.315, p = 0.000) and depression symptoms (β = 0.398, p = 0.000) were significant predictors of sleep quality amongst the undergraduate medical and dental students. Conclusion: A high majority of the study participants are experiencing poor sleep quality along with suffering from depression and anxiety amidst the COVID-19 lockdown. It is concluded from the analysis that anxiety and depression symptoms are significant predictors of sleep quality. Relevant authorities need to set up systems that help undergraduate medical students in alleviating and coping with these symptoms midst the COVID-19 pandemic.


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