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      Sleep patterns and predictors of poor sleep quality among Saudi commission residents in the Aseer region, Saudi Arabia before and during covid-19 pandemic

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          A BSTRACT

          Background:

          Sleep is an essential part of human physiology. Being a basic need for human well-being, adequate sleep is associated with good health and life quality for all individuals. Disorders of sleep may result in significant derangement in human functionality. Sleepiness among physicians affects not only their personal lives but also negatively impacts the lives of their patients.

          Method:

          This is an analytic cross-sectional study design conducted among 268 male and female Saudi commission residents working in public healthcare facilities in the Aseer region, Saudi Arabia. The study aimed to assess sleep patterns and determine predictors of poor sleep quality among Saudi commission residents of the Aseer region, Saudi Arabia.

          Result:

          The study reported that before COVID 19 pandemic, 85.1% of Saudi commission residents had poor sleep quality; however, during the pandemic, the percentage increased to 92.5% who showed poor sleep quality. Also, we found there was a significant association between different self-reported morbidities among Saudi commission residents and sleep disturbance ( p < 0.05).

          Conclusion:

          The study revealed that the percentage of the Saudi commission residents had poor sleep quality during pandemic higher than before with significant difference, which indicates the relation between COVID 19 pandemic and sleeps quality among Saudi commission residents.

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          Most cited references33

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          The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

          Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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            Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey

            Highlights • The COVID-19 outbreak significantly affects the mental health of Chinese public • During the outbreak, young people had a higher risk of anxiety than older people • Spending too much time thinking about the outbreak is harmful to mental health • Healthcare workers were at high risk for poor sleep
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              The Effects of Social Support on Sleep Quality of Medical Staff Treating Patients with Coronavirus Disease 2019 (COVID-19) in January and February 2020 in China

              Background Coronavirus disease 2019 (COVID-19), formerly known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 2019 novel coronavirus (2019-nCoV), was first identified in December 2019 in Wuhan City, China. Structural equation modeling (SEM) is a multivariate analysis method to determine the structural relationship between measured variables. This observational study aimed to use SEM to determine the effects of social support on sleep quality and function of medical staff who treated patients with COVID-19 in January and February 2020 in Wuhan, China. Material/Methods A one-month cross-sectional observational study included 180 medical staff who treated patients with COVID-19 infection. Levels of anxiety, self-efficacy, stress, sleep quality, and social support were measured using the and the Self-Rating Anxiety Scale (SAS), the General Self-Efficacy Scale (GSES), the Stanford Acute Stress Reaction (SASR) questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the Social Support Rate Scale (SSRS), respectively. Pearson’s correlation analysis and SEM identified the interactions between these factors. Results Levels of social support for medical staff were significantly associated with self-efficacy and sleep quality and negatively associated with the degree of anxiety and stress. Levels of anxiety were significantly associated with the levels of stress, which negatively impacted self-efficacy and sleep quality. Anxiety, stress, and self-efficacy were mediating variables associated with social support and sleep quality. Conclusions SEM showed that medical staff in China who were treating patients with COVID-19 infection during January and February 2020 had levels of anxiety, stress, and self-efficacy that were dependent on sleep quality and social support.
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                Author and article information

                Journal
                J Family Med Prim Care
                J Family Med Prim Care
                JFMPC
                J Family Med Prim Care
                Journal of Family Medicine and Primary Care
                Wolters Kluwer - Medknow (India )
                2249-4863
                2278-7135
                June 2022
                30 June 2022
                : 11
                : 6
                : 2768-2773
                Affiliations
                [1 ] Family Medicine Resident, Joint Program of Family Medicine, Abha, Saudi Arabia
                [2 ] Consultant Family Medicine and Diabetes, Saudi Arabia
                [3 ] King Faisal Medical City, Saudi Arabia
                [4 ] Department of Psychiatry, College of Medicine, Saudi Arabia
                [5 ] Department of Family and Community Medicine, College of Medicine, King Khalid University, Saudi Arabia
                [6 ] Family Medicine Resident (PGY1), King Saud Medical City, Saudi Arabia
                [7 ] Medical Intern, King Khalid University, Saudi Arabia
                Author notes
                Address for correspondence: Dr. Roqayya Mohammed Ahmed Alhayyani, Family Medicine Resident (PGY3), Joint Program of Family Medicine, Abha, Saudi Arabia. E-mail: r_m_a_h@ 123456hotmail.com
                Article
                JFMPC-11-2768
                10.4103/jfmpc.jfmpc_1946_21
                9480742
                36119288
                7f3c972c-1863-4d8e-ab71-f991d6391cf9
                Copyright: © 2022 Journal of Family Medicine and Primary Care

                This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

                History
                : 28 September 2021
                : 03 January 2022
                : 03 January 2022
                Categories
                Original Article

                covid-19,predictors,quality,sleep
                covid-19, predictors, quality, sleep

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