scholarly journals The effect of mental health on sleep quality of front-line medical staff during the COVID-19 outbreak in China: A cross-sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253753
Author(s):  
Leiyu Yue ◽  
Rui Zhao ◽  
Qingqing Xiao ◽  
Yu Zhuo ◽  
Jianying Yu ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Medical Staff ◽  
Cross Sectional Study ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Front Line ◽  
Poor Sleep Quality ◽  
Cross Sectional

Background The 2019 coronavirus disease (COVID-19) pandemic is a public health emergency of international concern and poses a challenge to the mental health and sleep quality of front-line medical staff (FMS). The aim of this study was to investigate the sleep quality of FMS during the COVID-19 outbreak in China and analyze the relationship between mental health and sleep quality of FMS. Methods From February 24, 2020 to March 22, 2020, a cross-sectional study was performed with 543 FMS from a medical center in Western China. A self-reported questionnaire was used to collect data anonymously. The following tests were used: The Self-Rating Anxiety Scale (SAS) for symptoms of anxiety, the Beck Depression Inventory (BDI) for depressive symptoms, and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality assessment. Results Of the 543 FMS, 216 (39.8%) were classified as subjects with poor sleep quality. Anxiety (P<0.001), depression (P<0.001), and the prevalence of those divorced or widowed (P<0.05) were more common in FMS with poor sleep quality than in participants with good sleep quality. The FMS exhibiting co-occurrence of anxiety and depression were associated with worse scores on sleep quality than those medical staff in the other three groups/categories. The difference in sleep quality between the FMS with only depression and the FMS experiencing co-occurrence of anxiety and depression was statistically significant (P<0.05). However, there was no significant difference in sleep quality between the FMS experiencing only anxiety and the FMS with co-occurrence of anxiety and depression (P > 0.05). Conclusions During the COVID-19 pandemic, there was a noteworthy increase in the prevalence of negative emotions and sentiments among the medical staff, along with poor overall sleep quality. We anticipate that this study can stimulate more research into the mental state of FMS during outbreaks and other public health emergencies. In addition, particular attention must be paid to enhance the sleep quality of FMS, along with better planning and support for FMS who are continuously exposed to the existing viral epidemic by virtue of the nature of their profession.

An assessment of mental health and its associated factors in Indian population during COVID-19 crisis: A cross sectional study (Preprint)

2020 ◽  
Author(s):  
Dr. Laxmi Verma ◽  
Shailendra Chhonkar
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Indian Population ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
High Anxiety ◽  
Cross Sectional

BACKGROUND India has seen a tremendous surge in COVID-19 cases since past few months. This unpredictable disease has threatened people’s mental health as much as their physical health. OBJECTIVE To assess the burden of mental health amid this pandemic, we conducted a cross-sectional study in Indian population. We also assessed the predictors of mental health burden. METHODS A cross-sectional, web based study was adopted using the snowball sampling method. Participants were invited to fill a validated questionnaire that assessed the demographic characteristics, Knowledge of Covid-19, quality of sleep (PSQI), generalized anxiety disorder (GAD) and depressive symptoms (CES-D). RESULTS Findings in our study revealed that participants were having high Anxiety (43.6%), depressive symptoms (43.8%) and poor sleep quality (56.2%). Multivariable logistic regression analysis suggested that people ≥35 years were prone to have GAD, depressive symptoms and poor sleep quality. Healthcare workers were at higher risk to develop anxiety, depressive symptoms and inferior quality of sleep (P<.000) compared to the other occupations. Females tend to have high anxiety and depression (P<.000). Additionally, People having poor understanding about Covid-19 had more sleep related problems. CONCLUSIONS The study findings indicated that the Indian population amid Covid-19 crisis reported to have high anxiety, depressive symptoms and poor sleep quality. Government needs to devise a comprehensive, effective and efficient action plan to address this probing issue.

scholarly journals The quality and characteristics of sleep of hypertensive patients

2015 ◽  
Vol 49 (4) ◽  
pp. 0596-0602 ◽  
Author(s):  
Juliét Silveira Hanus ◽  
Graziela Amboni ◽  
Maria Inês da Rosa ◽  
Luciane Bisognin Ceretta ◽  
Lisiane Tuon
Keyword(s):  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Registration System ◽  
Hypertensive Patients

OBJECTIVEAnalyzing the quality of sleep of hypertensive patients registered in the national registration system and monitoring of hypertensive patients.METHODSA cross-sectional study of quantitative and descriptive analyses with 280 hypertensive patients registered in the National Program of Hypertension and Diabetes of the Federal Government in the months from August to October 2011. Questionnaires were used which allowed for tracking sociodemographic data on hypertension and Pittsburgh Sleep Quality Index (PSQI).RESULTSThe prevalence of poor sleep quality among respondents (156 hypertensive patients) and high rates of using medication for sleeping (106 hypertensive patients) was observed. Other relevant data refers to the quality of sleep among hypertensive patients using sleep medication compared to those who do not use it (p≤0.01).CONCLUSIONIndividuals with high blood pressure have a negative association with sleep quality.

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.

scholarly journals Sleep quality of Brazilian nursing students: A cross-sectional study

2019 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Andréia Ferreira dos Santos ◽  
Fernanda Carneiro Mussi ◽  
Cláudia Geovana da Silva Pires ◽  
Melissa Almeida Santos Paim ◽  
Fernanda Michelle Santos e Silva ◽  
...  
Keyword(s):  
Nursing Students ◽  
Sleep Quality ◽  
Family Income ◽  
Cross Sectional Study ◽  
Public Institution ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional

Objective: To describe the sleep quality of nursing students according to the Pittsburgh Sleep Quality Index.Methods: This is a cross-sectional study conducted with 286 nursing students from a public institution in Salvador, Bahia. Data gathering instruments were applied in classrooms and data were assessed in absolute and relative frequencies, means and standard deviation.Results: The mean age of participants was 23.48 years (SD = 4.421). Most of students were female (90.2%), single with partner (90.9%), afro descendent (87.8%), unemployed (81.5%), total Family income below than four minimum wages (47.2%), enrolled between 6th and 10th  semester (54.5%), attending academic activities in two or three shifts (80.8%). Sample showed poor sleep quality (86.4%), especially due to the sleep duration, sleep disturbances and daytime disfunction.Conclusions: Poor sleep quality was prevalent in the sample, what rises the need of further analysis of the associated factors and interventions to change this reality.

scholarly journals Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction

2020 ◽  
Vol 37 (1) ◽  
Author(s):  
Betul Ozcan ◽  
Nurhan Meydan` Acimis
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Smartphone Addiction ◽  
Short Version ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Creative Commons

Objective: Research shows that poor sleep quality and smartphone addiction are common problems among university students. This study was planned to evaluate the quality of sleep in students at Pamukkale University and to investigate its relationship with smartphone addiction. Methods: This cross-sectional study was carried out at the university campus in 2017-2018. Its dependent variable was low sleep quality. Independent variables were smartphone addiction, features related to smartphone addiction, socio-demographic features and other questioned features. The total number of students attending normal education in seven faculties and two colleges for four years was 20862. The minimum sample size of the study was calculated as 1088. Smartphone Addiction Scale-Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) were used. The data were analyzed with the SPSS program. Results: The mean age was of the participants 21.39 ± 2.21. The sleep quality of students with a PSQI total score of more than five was defined as ‘poor’. The frequency of poor sleep quality was 52.4%. The frequency of smartphone addiction was 34.6% according to the SAS-SV scale. It was found that the frequency of poor sleep quality was significantly higher in students with smartphone addiction compared to others. Conclusion: Smartphone addiction was found as one of the risk factors for poor sleep quality. doi: https://doi.org/10.12669/pjms.37.1.3130 How to cite this:Ozcan B, Acimis NM. Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction. Pak J Med Sci. 2021;37(1):206-211. doi: https://doi.org/10.12669/pjms.37.1.3130 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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

2021 ◽  
Author(s):  
Qingyun Zhao ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
Chunyu Pan
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

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.

scholarly journals Sleep quality and adherence to medical therapy among hemodialysis patients with depression: a cross-sectional study from a developing country

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S43-S43
Author(s):  
Syed Muhammad Jawad Zaidi ◽  
Mehwish Kaneez ◽  
Javeria Awan ◽  
Hamza Waqar Bhatti ◽  
Muhammad Hamza ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Prevalence Of Depression ◽  
Spearman’S Correlation ◽  
Esrd Patients

AimsDepression is a fairly common finding among end-stage renal disease (ESRD) patients on hemodialysis and is an independent risk factor for morbidity and mortality. The psychiatric manifestations of the disease may affect their compliance to medications and alter sleep quality that is often overlooked by nephrologists. This translates into poor quality of life and poorer disease prognosis. Thus, Our study aims to assess the prevalence of depression and its association with compliance to medical therapy and sleep quality among ESRD patients on hemodialysis.MethodIn this cross-sectional study, a total of 288 hemodialysis patients with a confirmed diagnosis of ESRD were evaluated for depression using Patient Health Questionnaire-9 (PHQ-9) scale. Only the patients with moderate to severe depressive symptoms on PHQ-9 were further evaluated for sleep quality and compliance to medications using the Pittsburgh Sleep Quality Index (PSQI) and Drug Attitude Inventory-10 (DAI-10) respectively. The characteristics of ESRD patients with depression were also assessed. Median PHQ-9, DAI-10, and PSQI scores were calculated and the correlation between study variables was assessed using spearman's correlation.ResultOf the 288 included participants, 188 (65.27%) had depression as evaluated via PHQ-9. Of these 188 patients, 114 were males while 74 were females. A total of 113 (60.01%) of the depressed patients had poor compliance with medication while 137 (72.87%) patients had poor sleep quality. Higher PHQ-9 scores were positively correlated with disease duration, dialysis years, and time between diagnosis and therapy (r = 0.41, 0.39, and 0.43 respectively) and negatively with marital and employment status (r = −0.32 and −0.49 respectively). Spearman's correlation matrix showed that PHQ-9 scores were negatively correlated with DAI-10 but positively correlated with PSQI scores.ConclusionThe study indicates a high prevalence of depression among ESRD patients on hemodialysis. Poor sleep quality and non-adherence to medications are extremely common among ESRD patients with depression. These psychiatric components must be considered to optimize medical treatment and improve the quality of life in this subset of patients.

scholarly journals Poor Sleep Quality among Medical Students in International Islamic University Malaysia (IIUM) and Its Association with Mental Health and other Factors

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Said AH ◽  
Yusof MZ ◽  
Mohd FN ◽  
Azmi MANH ◽  
Mohd Hanapiah H ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Medical Students ◽  
Sleep Quality ◽  
Multiple Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Multiple Logistic Regression ◽  
Poor Sleep Quality ◽  
Cross Sectional

INTRODUCTION: Poor sleep quality is a common problem experienced by medical students worldwide. Therefore, this study aimed to measure the prevalence of poor sleep quality among medical students in International Islamic University Malaysia (IIUM) and its association with mental health and other factors. MATERIALS AND METHODS: A cross-sectional study using convenience sampling was conducted among 500 medical students in IIUM Kuantan. A validated self-reported questionnaire including sociodemographic, socioeconomic, lifestyle, Pittsburgh Sleep Quality Index and Depression Anxiety Stress Score 21 was distributed from 15th July to 31st August 2019. Descriptive statistics were used to measure the prevalence of poor sleep quality. Chi- square test, Fisher’s exact test, independent sample T-test, and multiple logistic regression were used to measure the association between risk factors and sleep quality. RESULT: The response rate was 91.2%. The prevalence of poor sleep quality was 59.6%. Multiple logistic regression analysis revealed level of study (clinical year (AOR=0.44, 95% CI: 0.29 - 0.66) and depression (yes (AOR: 1.71, 95% CI 1.03-2.83) contributed independently on poor sleep quality among medical students. There was no significant relationship between tahajjud practice and poor sleep quality. CONCLUSION: More than half of IIUM medical students have poor sleep quality. Those students who were in the pre-clinical year and had depression were independently associated with the occurrence of poor sleep quality. Early intervention is compulsory to overcome this problem among medical students in IIUM.  

Sleep quality among youngster in Danang city, Vietnam: A cross-sectional study

2021 ◽  
Vol 05 (02) ◽  
pp. 31-40
Author(s):  
Nguyen Nhat Linh Hoang ◽  
◽  
Vuong Diem Khanh Doan ◽  
Thi Dang Thu Nguyen ◽  
Thi Hong Nhi Nguyen
Keyword(s):  
Sleep Quality ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Factors Associated

Objectives: Sleep is a normal physiological process of the body. Sleep impacts on many aspects of health and quality of life at all ages. There are many risk factors associated with sleep deprivation or poor sleep quality: physical health problems such as diabetes and cardiovascular disease; mental health issues like depression; traffic and occupational accident. The study was conducted with the aims of understanding the sleep quality situation of youngster aged 16-30 years in Da Nang City, Vietnam, and determining the factors related to the sleep quality of the study participants. Methods: A descriptive cross-sectional study was conducted on adolescents living in Da Nang City, Vietnam. The information was collected by using a structured questionnaire. Multivariate logistic regression analysis was used to identify the risk factors associated with the sleep quality among adolescents. Results: The proportion of the adolescents who suffered from poor sleep quality was 31.1%. The results of multivariate logistic regression analysis indicated that there were the relationships between sleep quality and living in Hoa Vang District; occupations were student, worker, or officer; finishing working/studying time after 7 pm; regularly use and dependent on the internet; having stress; having pressure on study/work, overeating before going to bed, rarely or sometimes staying up late, lying postures were laying up, lie on the left side and other postures; hand posture when sleeping. Conclusion: The proportion of adolescents living in Da Nang City with good sleep quality was not high. The government needs to propagandize and mobilize people, especially young people in terms of the impacts of sleep quality on health, thereby improving sleep quality to help young people in good condition, helping the country and defending the country. Keywords: Sleep quality, adolescents, Da Nang City

scholarly journals Impact of problematic Facebook use, loneliness, and poor sleep quality on mental health

2021 ◽  
Vol 8 (9) ◽  
pp. 112-118
Author(s):  
Ho et al. ◽  
Keyword(s):  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Central Vietnam ◽  
Facebook Use

To examine the effects of problematic Facebook use, loneliness, and poor sleep quality on anxiety and depression in the Vietnamese, 354 Facebook users at a university in central Vietnam in a cross-sectional study design was used. Participants completed Depression Anxiety Stress Scales, Bergen Facebook Addiction Scale, UCLA loneliness scale version 3, and the Pittsburgh Sleep Quality Index. Linear regression analysis found that problematic Facebook use, loneliness, and poor sleep quality respectively explained 31.3% and 45.6% of the variance in anxiety and depression. Problematic Facebook use, loneliness, and poor sleep quality were associated with anxiety and depression. Interventions should focus on reducing loneliness, improving sleep quality, and treating problematic Facebook use.

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