scholarly journals Depression Symptoms and Sleep Quality during COVID-19 Outbreak in Iran: A National Cross-Sectional Study

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Samaneh Torkian ◽  
Elham Akhlaghi ◽  
Vahid Khosravi ◽  
Reza Etesami ◽  
Ali Ahmadi ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Economic Status ◽  
Depression Scale ◽  
World Health ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
History Of ◽  
History Of Depression

Background: Coronavirus 2019 is a new infectious disease that has been declared by the World Health Organization as a global pandemic. This pandemic may have psychological effects on populations. Objectives: This study aimed to investigate the quality of sleep and depression in the Iranian community during COVID-19 pandemic. Methods: This nationwide cross-sectional web-based study was conducted from April 19 to May 12, 2020 in Iran. The data collection tools were the Pittsburgh Sleep Quality Index and Depression Center for Epidemiologic Studies’ Depression Scale questionnaires. Each province in Iran was assumed as a cluster, and generalized estimating equations models were used to determine the demographic variables that were related to depression symptoms and sleep quality during COVID-19 outbreak Results: In this study, 73.5% and 41.4% of the participants had poor sleep quality and had depression symptoms, respectively. Perceived income, hours spent outdoors, the number of people with COVID-19 that were acquainted with, and a history of depression significantly were related to sleep quality. Also, gender, age, having a child, education level, economic status, and a history of depression were significantly associated with having depression symptoms. Conclusions: Most participants had poor sleep quality, and less than half had depression symptoms during the COVID-19 pandemic. These problems can disturb daily routines, cut social ties, and increase worries and fears of the future. Interventions are necessary to reduce psychological problems for Iran.

scholarly journals Effects of COVID-19 2021 lockdown on the sleep quality and mental health of undergraduate medical and dental students of Pakistan: A cross-sectional study.

2021 ◽  
Author(s):  
Naveen Siddique Sheikh ◽  
Aiza Anwar ◽  
Iqra Pervaiz ◽  
Zunaira Arshad ◽  
Huma Saeed Khan ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Dental Students ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

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.

Serum Kynurenines Correlate With Depressive Symptoms and Disability in Poststroke Patients: A Cross-sectional Study

2020 ◽  
Vol 34 (10) ◽  
pp. 936-944 ◽  
Author(s):  
Paul Carrillo-Mora ◽  
Verónica Pérez-De la Cruz ◽  
Berenice Estrada-Cortés ◽  
Paola Toussaint-González ◽  
José Antonio Martínez-Cortéz ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Barthel Index ◽  
Depression Scale ◽  
Functional Independence ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Potential Marker

Background Poststroke depression (PSD) is related to adverse functional and cognitive prognosis in stroke patients. The participation of kynurenine pathway metabolites in depression has been previously proposed; however, there are few studies on its role in PSD and disability in stroke. Objective To investigate if there is a correlation between serum kynurenines levels with poststroke anxiety and depression symptoms and disability scales. Methods A cross-sectional case-control study was conducted in patients with first stroke, of >1 month and <1 year of evolution, with no history of previous psychiatric or neurological disorders; the Hospital Anxiety and Depression Scale (HADS), Montreal Cognitive Assessment (MoCA), functional evaluations (Barthel index, Functional Independence Measure [FIM]) were applied and serum kynurenines (Kyns) were determined. Results Sixty patients were included; significant depressive symptoms were found in 63% of the cases; a significant and positive correlation was obtained between levels of 3-hydroxykynurenine (3-HK) with HADS-T ( r = 0.30, P = .025) and HADS-D ( r = 0.28, P = .039). Depressed patients showed significantly higher levels of 3HK ( P = .048) and KYNA ( P = .0271) than nondepressed patients; the 3HK levels were inversely correlated with functional scales: Barthel index ( r = −0.31, P = .02), FIM ( r = −0.40, P = .01); in addition, serum 3HK levels were significantly higher in patients with poor sleep quality ( P = .0190). Conclusions Serum Kyns show correlation with the presence and severity of depressive symptoms and with the disability and sleep quality. Kyns may be a potential marker of depression risk and disability in stroke in future.

scholarly journals Sleep disturbance among frontline nurses during the COVID-19 pandemic

2021 ◽  
Author(s):  
Mohammed Al Maqbali
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Depression Scale ◽  
Disease Outbreaks ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality

AbstractThe main objective of this study is to assess the prevalence of sleep disturbance and related psychological factors (stress, anxiety and depression) among frontline nurses in Oman during the COVID-19 pandemic. A cross-sectional and descriptive correlational design using Qualtrics® software was used in this research. Data were collected using the Pittsburgh Sleep Quality Index (PSQI), the Hospital Anxiety and Depression Scale (HADS) and the Perceived Stress Scale (PSS). Logistic regression was performed to identify factors associated with poor sleep quality. Of the 987 frontline nurses who participated, 58.8% (n = 580) reported poor sleep quality. In an examination of PSQI components the mean sleep duration was 7.04 (SD = 1.59) hours per night, and the sleep latency mean was 38.18 min (SD = 31.81). Poor sleep (p < .05) was significantly associated with age, marital status, years of experience, comorbidity, and whether family members or relatives were suspected or confirmed with having COVID-19. Logistic regression showed that poor quality of sleep was significantly associated with stress, anxiety and depression symptoms. Sleep disturbance is a significant problem for frontline nurses working in Oman during the COVID-19 pandemic. Appropriate interventions to maintain the health conditions and reduce sleep disturbance among frontline nurses are needed in order to help support nurses’ work during contagious disease outbreaks. These can be implemented through online workshops and training to enhance nurses’ responses to the pandemic or to any further disease outbreaks.

scholarly journals P171 Factors determining sleep quality in SLE

Rheumatology ◽  
2020 ◽  
Vol 59 (Supplement_2) ◽  
Author(s):  
Rosalie Magro ◽  
Liberato Camilleri ◽  
Andrew A Borg
Keyword(s):  
Sleep Quality ◽  
Disease Activity ◽  
Lupus Erythematosus ◽  
Functional Disability ◽  
Activity Index ◽  
Depression Scale ◽  
Disease Activity Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional

Abstract Background Poor sleep quality is common in systemic lupus erythematosus (SLE) and could contribute to fatigue, which is regarded as one of the most disabling symptoms in SLE. The Pittsburgh sleep quality index (PSQI) is a validated self-administered questionnaire that measures sleep quality over the previous month. The aim of this study was to analyse the relationship of sleep quality, measured by PSQI, with several variables including depression, anxiety, pain, disease activity, fatigue and functional disability in patients with SLE. A further aim was to establish the prevalence of poor sleep quality in SLE. Methods A cohort cross-sectional study was carried out including 92 SLE patients who fulfilled the SLICC classification criteria for SLE and who provided informed consent for participation. The patients were interviewed, and they were asked to fill in questionnaires including PSQI, Fatigue Severity Scale (FSS), Hospital Anxiety and Depression Scale (HADS), visual analogue scale (VAS) for pain and modified Health Assessment Questionnaire (mHAQ). Blood and urine tests enabled the calculation of SLE disease activity index-2K (SLEDAI-2K). The study was approved by the University Research Ethics Committee. Results 92.4% of the cohort studied were females, and the mean age was 46.9 years (range 19-79 years). 55.4% were noted to have poor quality sleep (PSQI &gt;5), and the median PSQI was 6 (range 0-18). Sleep quality measured by PSQI, had a significant correlation with SLEDAI-2K (R = 0.254, p = 0.014), VAS pain (R = 0.515, p &lt; 0.001), HADS-D (R = 0.605, p &lt; 0.001), HADS-A (R = 0.375, p &lt; 0.001), estimated glomerular filtration rate (eGFR) (R=-0.211, p = 0.044), FSS (R = 0.551, p &lt; 0.001) and mHAQ (R = 0.559, p &lt; 0.001). ANCOVA analysis showed that PSQI was significantly dependant on VAS pain (p &lt; 0.001), HADS-D (p &lt; 0.001) and eGFR (p = 0.003). Conclusion Poor sleep quality is highly prevalent in SLE patients. This study has shown that the strongest predictive factors for poor sleep quality are pain, depression and impaired renal function. Since poor sleep quality is significantly related to fatigue and functional disability, its identification and management is important for patients’ wellbeing. Disclosures R. Magro None. L. Camilleri None. A.A. Borg None.

scholarly journals Association between poor sleep quality and depression symptoms among the elderly in nursing homes in Hunan province, China: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. e036401
Author(s):  
Zhao Hu ◽  
Xidi Zhu ◽  
Atipatsa Chiwanda Kaminga ◽  
Tingting Zhu ◽  
Yu Nie ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Sleep Quality ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Hunan Province ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
The Mean

ObjectivesTo examine the association between the prevalence of poor sleep quality and depression symptoms among the elderly in the nursing homes of Hunan province in China.Design, Setting and participantsThis was a cross-sectional study investigating 817 elderly people from 24 nursing homes in China’s Hunan province.Main outcome measuresSleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) such that poor sleep quality was defined as PSQI Score >5. In addition, depression symptoms were assessed using the Geriatric Depression Scale (GDS). Linear regression models and binary logistic regression models were used to analyse the relationship between the prevalence of poor sleep quality and depression symptoms.ResultsThe mean PSQI Score was 8.5±4.9, and the prevalence of poor sleep quality was 67.3%. Additionally, the mean GDS Score was 9.8±7.5, and the prevalence of depression symptoms was 36.0%. Elderly people with poor sleep quality had increased GDS Score (mean difference=2.54, 95% CI 1.66 to 3.42) and increased risk of depression symptoms (OR=3.19, 95% CI 2.04 to 4.98) after controlling for demographics, chronic disease history, lifestyle behaviours, social support, activities of daily living and negative life events.ConclusionsThe prevalence of poor sleep quality was relatively high, and this was associated with increased depression symptoms. Therefore, poor sleep quality could be speculated as a marker of current depression symptoms in the elderly.

scholarly journals Effect of COVID-19 Quarantine on the Sleep Quality and the Depressive Symptom Levels of University Students in Jordan During the Spring of 2020

2021 ◽  
Vol 12 ◽  
Author(s):  
Heba Saadeh ◽  
Maha Saadeh ◽  
Wesam Almobaideen ◽  
Assem Al Refaei ◽  
Nour Shewaikani ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Depression Scale ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Online Questionnaire ◽  
Cross Sectional

Objectives: This study was designed to assess the effect of COVID-19 home quarantine and its lifestyle challenges on the sleep quality and mental health of a large sample of undergraduate University students in Jordan. It is the first study applied to the Jordanian population. The aim was to investigate how quarantine for several weeks changed the students' habits and affected their mental health.Methods: A cross-sectional study was conducted using a random representative sample of 6,157 undergraduate students (mean age 19.79 ± 1.67 years, males 28.7%) from the University of Jordan through voluntarily filling an online questionnaire. The Pittsburgh Sleep Quality Index (PSQI) and the Center for Epidemiologic Studies-Depression Scale (CES-D) were used to assess sleep quality and depressive symptoms, respectively.Results: The PSQI mean score for the study participants was 8.1 ± 3.6. The sleep quality of three-quarters of the participants was negatively affected by the extended quarantine. Nearly half of the participants reported poor sleep quality. The prevalence of poor sleep quality among participants was 76% (males: 71.5% and females: 77.8%). Similarly, the prevalence of the depressive symptoms was 71% (34% for moderate and 37% for high depressive symptoms), with females showing higher prevalence than males. The overall mean CES-D score for the group with low depressive symptoms is 9.3, for the moderate group is 19.8, while it is 34.3 for the high depressive symptoms group. More than half of the students (62.5%) reported that the quarantine had a negative effect on their mental health. Finally, females, smokers, and students with decreased income levels during the extended quarantine were the common exposures that are significantly associated with a higher risk of developing sleep disturbances and depressive symptoms.Conclusions: Mass and extended quarantine succeeded in controlling the spread of the COVID-19 virus; however, it comes with a high cost of potential psychological impacts. Most of the students reported that they suffer from sleeping disorders and had a degree of depressive symptoms. Officials should provide psychological support and clear guidance to help the general public to reduce these potential effects and overcome the quarantine period with minimum negative impacts.

Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Severe Depression ◽  
Dental Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

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.

Sign in / Sign up

Export Citation Format

Share Document