Anxiety, Depression and Poor Sleep Quality as Long-Term Post-COVID Sequelae in Previously Hospitalized Patients: A Multicenter Study

AbstractSleep problems and regular leisure time physical activity (LTPA) are interrelated and have contrasting effects on risk of back pain. However, no studies have investigated the influence of long-term poor sleep quality on risk of back-related disability, or if LTPA modifies this association. The study comprised data on 8601 people who participated in three consecutive surveys over ~ 22 years, and who reported no chronic back pain at the two first surveys. Adjusted risk ratios (RRs) for back-related disability were calculated at the last survey, associated with the joint effect of changes in sleep quality between the two first surveys and meeting physical activity guidelines at the second survey. Compared to people with long-term good sleep, people with long-term poor sleep had nearly twice the risk of back-related disability (RR 1.92, 95% CI 1.48–2.49). There was no statistical interaction between sleep and LTPA but people who reported long-term poor sleep and meeting the physical activity guidelines had 35% lower risk of back-related disability compared to people with same level of sleep problems, but who not met the guidelines. These findings suggest that long-term poor sleep quality contributes to a substantially increased risk of chronic and disabling back pain irrespective of LTPA.

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Sleep Quality of Hospitalized Patients, Contributing Factors, and Prevalence of Associated Disorders

Sleep Disorders ◽

10.1155/2020/8518396 ◽

2020 ◽

Vol 2020 ◽

pp. 1-7 ◽

Cited By ~ 1

Author(s):

Santi Kulpatcharapong ◽

Pol Chewcharat ◽

Kiat Ruxrungtham ◽

Sutep Gonlachanvit ◽

Tanisa Patcharatrakul ◽

...

Keyword(s):

Sleep Quality ◽

Light Exposure ◽

Hospitalized Patients ◽

Poor Sleep ◽

Poor Sleep Quality ◽

The Third ◽

High Prevalence ◽

Internal Medicine Wards ◽

At Home

Background. Data in the literature has shown poor sleep quality to be frequently observed in hospitalized patients and known to be associated with poor treatment outcome. Many factors may impact poor sleep quality, and there is currently limited available data. We aim to determine the prevalence of poor sleep quality and associated factors in patients admitted to internal medicine wards as well as the change of sleep quality over time after admission. Methods. An analytic observational study was conducted at the internal medicine wards at the King Chulalongkorn Memorial Hospital, Bangkok, Thailand. Patients were personally interviewed to evaluate the history of sleep quality at home, sleep quality after the first and the third days of admission, and potential associated factors. The Pittsburgh Sleep Quality Index and screening questionnaires for the common diseases associated with poor sleep quality were also utilized. The logistic regression analysis was used to determine the independent factors which led to poor sleep quality. Results. Data were collected from 96 patients during the period of June 2015 to February 2016. The mean age of the patients was 50.8±16.7 years, and 51% were male. Infectious disease was the most common principal diagnosis accounted for 29.2%. The results show high prevalence of poor sleep quality after the first night of admission compared to baseline sleep quality at home (50% vs. 18.8%; p<0.001). After 3 days of admission, the prevalence of poor sleep quality was reduced to the level close to baseline sleep quality at home (28.1% vs. 18.8%; p=0.13). Multivariate analysis demonstrated that light exposure and pain were the main independent factors for poor sleep quality on the first day (odds ratio 6.68; 95% CI 2.25-19.84) and on the third day (odds ratio 3.47; 95% CI 1.24-9.71), respectively. Conclusions. This is the first study conducted on the sleep quality of hospitalized patients that included the follow-up period during hospital admission. Our study demonstrated high prevalence of poor sleep quality in hospitalized patients on the first day. Interestingly, the sleep quality was partly improved during hospitalization. Light exposure and pain were demonstrated to be the factors associated with poor sleep quality.

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The relationship between sleep quality, fatigue and psychological wellbeing amongst primary carers for those with brain injury

10.31234/osf.io/wmnc8 ◽

2018 ◽

Author(s):

Maria Gardani

Keyword(s):

Brain Injury ◽

Sleep Quality ◽

Sleep Disturbances ◽

Depression Scale ◽

Psychological Wellbeing ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Perceived Burden ◽

Fatigue Severity ◽

Anxiety Depression

Objectives: The study aimed to investigate possible mediating factors that contribute to poor sleep quality in carers for those with brain injury (BI). More specifically, whether fatigue, anxiety, depression and perceived burden were associated with and/or predicted poor sleep in carers of those with brain injury. Methods: A cross-sectional correlational design was utilised. The Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety Depression Scale (HADS) Fatigue Severity Scale (FSS), Zarit Buren Interview Short (ZBI-12) were completed by 237 carers of people with BI to assess sleep quality, psychological wellbeing and fatigue. Results: Carers demonstrated elevated levels of poor sleep quality, fatigue and poor psychological wellbeing. The results indicated there was a significant relationship between anxiety, depression, perceived burden, fatigue severity and sleep quality. Multiple regression analysis revealed that anxiety, depression, fatigue and burden explained 31.8% of variance in sleep quality. Depression and fatigue were significant predictors of sleep quality with fatigue symptomology being the strongest predictor of poor sleep amongst carers. Conclusion: Psychological wellbeing, perceived burden and fatigue are associated with sleep disturbances in carers with fatigue and depression predicting poor sleep quality. These results provide insight into an under-researched area and emphasise the necessity for support provisions which aim to improve sleep hygiene practices, improve psychological wellbeing and fatigue symptomology.

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The association between perceived stress with sleep quality, insomnia, anxiety and depression in kidney transplant recipients during Covid-19 pandemic

PLoS ONE ◽

10.1371/journal.pone.0248117 ◽

2021 ◽

Vol 16 (3) ◽

pp. e0248117

Author(s):

Dilek Barutcu Atas ◽

Esra Aydin Sunbul ◽

Arzu Velioglu ◽

Serhan Tuglular

Keyword(s):

Sleep Quality ◽

Kidney Transplant ◽

Perceived Stress ◽

Independent Predictor ◽

Anxiety And Depression ◽

Poor Sleep ◽

Transplant Recipients ◽

Kidney Transplant Recipients ◽

Poor Sleep Quality ◽

Anxiety Depression

Background The psychological distress and sleep problems caused by current Covid-19 outbreak is not well known in kidney transplant recipients. In this study, we aimed to investigate the association between perceived stress with sleep quality, insomnia, anxiety, depression and kidney function in kidney transplant recipients during the Covid-19 pandemic. Material and methods A hundred-six kidney transplant recipients were enrolled. Questionnaire of "Socio-demographics", "Perceived Stress Scale (PSS)", "Pittsburgh Sleep Quality Index (PSQI)", "Insomnia Severity Index (ISI)" and “Hospital Anxiety Depression Scale (HADS)” are performed. The laboratory data is recorded. The perceived stress related to Covid-19 pandemic and its associations were investigated. Results The mean age of patients was 44.2±13.3 years, and 65 of the patients (61.3%) were men. Forty-nine (46.2%) of the patients had high-perceived stress; 51 (48.1%) of the patients had poor sleep quality, 40 (37.7%) of the patients had insomnia, 25 (23.6%) of the patients had anxiety and 47 (44.3%) of the patients had depression. The patients having a history of Covid-19 infection in own or closed relatives (9.09±4.17 vs 6.49±4.16, p:0.014) and the patients who have a rejection episode any of time (8.24±5.16 vs 6.37±3.57, p:0.033) have had significantly higher anxiety scores, when they compared to others. The high PSS were positively correlated with PSQI, ISI, HAD-A and HAD-D. Regression analyses revealed that high-perceived stress is an independent predictor of anxiety and depression. There was not significant difference between kidney function with PSS, PSQI, ISI, HAD-A and HAD-D. Conclusions High PSS is positively correlated with poor sleep quality and insomnia and also an independent predictor of anxiety and depression in kidney transplant recipients during the outbreak of Covid-19. As the pandemic is still spreading worldwide quickly early identification and intervention of sleep disturbances and psychiatric disorders are essential to protect graft function with high compliance to treatment in transplantation patients.

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A cross-sectional study of sleep and depression in a rheumatoid arthritis population

Clinical Rheumatology ◽

10.1007/s10067-020-05414-8 ◽

2020 ◽

Author(s):

Mark Hughes ◽

Alan Chalk ◽

Poonam Sharma ◽

Sandeep Dahiya ◽

James Galloway

Keyword(s):

Rheumatoid Arthritis ◽

Sleep Quality ◽

Cross Sectional Study ◽

Poor Sleep ◽

Comorbid Depression ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Rheumatoid Arthritis Population ◽

Impaired Sleep

Abstract Objectives To assess the prevalence of impaired sleep quality and depression in a rheumatoid arthritis population and determine their correlation with Disease Activity Score (DAS) and its components. Methods In this single-centre observational cross-sectional study, data was collected by the assessing clinician for DAS28, age and gender in various treatment groups according to use of csDMARDs, biologics and long-term steroids. Presence of impaired sleep quality and depression was assessed by the Pittsburgh Sleep Quality Index (PSQI) and Public Health Questionnaire 9 (PHQ 9). Correlation for DAS and its components with the outcomes was determined by Pearson’s correlation coefficient. Multivariate analysis was performed by logistic regression. Results Two hundred patients were included. The prevalence across all subgroups of poor sleep quality and depression were 86.5% and 30%, respectively, with a correlation coefficient of 0.69 between the two and poor sleep quality amongst all RA patients with comorbid depression. Multivariate analysis found only subjective DAS components, tender joint count (TJC) and patient global health visual analogue score (VAS) to significantly correlate with both outcomes. Age inversely correlated with depression. Long-term steroid use was associated with poorer sleep quality, but there was no significant effect of csDMARDs or biologics. There was no significant difference in prevalence of depression amongst treatment subgroups. Conclusion Poor sleep quality and to a lesser extent depression are prevalent in the general rheumatoid arthritis population. Patients would benefit from clinicians measuring these outcomes routinely as they constitute a significant non-inflammatory burden of living with rheumatoid disease. Key Points• Subjective components of DAS independently correlate with sleep quality and depression, while objective components do not.• Poor sleep quality is highly prevalent in RA and present in all those with comorbid depression.• Poor sleep quality and depression incidence in RA are much lower when DAS is low or remission.

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#Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem

Journal of Adolescence ◽

10.1016/j.adolescence.2016.05.008 ◽

2016 ◽

Vol 51 ◽

pp. 41-49 ◽

Cited By ~ 253

Author(s):

Heather Cleland Woods ◽

Holly Scott

Keyword(s):

Social Media ◽

Sleep Quality ◽

Media Use ◽

Self Esteem ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Social Media Use ◽

Anxiety Depression

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Influential Factors on Sexual Function in Infertile Women with Endometriosis: A Path Analysis

10.21203/rs.2.21328/v1 ◽

2020 ◽

Author(s):

Shahideh Jahanian Sadatmahalleh ◽

samaneh youseflu ◽

Mahnaz Bahri Khomami ◽

Malihe Nasiri

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Sexual Function ◽

Pelvic Pain ◽

Anxiety And Depression ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Infertile Women ◽

Anxiety Depression

Abstract Background: Endometriosis have a negative influence on women’s sexual life. The aim of the current study was to test a conceptual model considering the interrelated role of anxiety, depression, sleep quality, physical activity, BMI, stage of endometriosis, the intensity of dyspareunia and pelvic pain on sexual function (SF) in infertile women with endometriosis. Also test the mediating role of sleep quality, anxiety, and depression. Method: In the present cross-sectional study, 220 infertile women with a laparoscopically confirmed endometriosis were recruited. Data were collected using a socio-demographic checklist, Female Sexual Function Index (FSFI), Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale (HADS), Visual Analog Scale (VAS). Results: We found that anxiety, depression, sleep quality, BMI, level of education, stage of endometriosis, and dyspareunia have a direct effect on women’s SF. In our study, sleep quality, anxiety, pelvic pain, and depression were the four major mediators that the higher scores lead to a decrease in the SF of endometriosis patients. The intensity of pelvic pain with an effect on sleep quality and dyspareunia change women’s SF. The lower level of physical activity, and higher BMI with indirect effect thorough anxiety, and sleep quality can worsen SF. Also, a higher level of anxiety leads to poor sleep quality and depression. Anxiety with both direct and indirect effect impress women’s SF. Conclusion: It seems that the main risk factors for sexual dysfunction in women with endometriosis are higher rates of anxiety, depression, poor sleep quality, pelvic pain, and dyspareunia. In the care of women with endometriosis, not only laparoscopy and medical treatment should be performed but also psychotherapeutic and psychosexual help should be offered.

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Sleep Quality among Medical Students of a Tertiary Care Hospital: A Descriptive Cross-sectional Study

Journal of Nepal Medical Association ◽

10.31729/jnma.4813 ◽

2020 ◽

Vol 58 (222) ◽

Author(s):

Nabin Sundas ◽

Saransh Ghimire ◽

Suzit Bhusal ◽

Rakshya Pandey ◽

Krishna Rana ◽

...

Keyword(s):

Academic Performance ◽

Medical Students ◽

Sleep Quality ◽

Tertiary Care Hospital ◽

Tertiary Care ◽

Poor Sleep ◽

Care Hospital ◽

Poor Sleep Quality ◽

Cross Sectional

Introduction: Medical students are under constant stress due to demanding academic load, fearof exam failure and hectic schedules. These factors can lead to poor sleep quality among medicalstudents. Sleep quality of medical students not only determine their academic performance but isalso important in determining long term effect on cognitive, psychosocial, behavioural as well asphysical health of individuals. Although there are not enough recent studies to assess sleep qualityof students, it is necessary to evaluate the condition of sleep among students. This study aims to findout the prevalence of poor sleep quality among medical students. Methods: This descriptive cross-sectional was conducted among undergraduate medical studentsof Kathmandu Medical College from October to November 2019 after taking ethical clearance fromInstitutional Review Committee of a tertiary care hospital before collecting data from participants.Subjects were recruited by simple random sampling from students of first, second, third and finalyears and were asked to fill the self-reported questionnaires, using Pittsburgh Sleep Quality Index.Descriptive statistical analysis was done using Statistical Software for Social Sciences version 24. Results: Out of 217 selected medical students, 96 (44.23%) of students have poor sleep quality withprevalence among male and female students as 41 (39.8%) and 55 (48.2%) respectively. The meanduration of sleep among students was 6.7±1.6 hours. Conclusions: Significant numbers of medical students have poor sleep quality which may affecttheir academic performance and may have long term impact on their health. Efforts must be directedtowards educating about the sleep hygiene as well as proper time management skills.

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0387 Effect of Air Pollution on the Quality of Sleep - Korean Nationwide Cross-Sectional Study

SLEEP ◽

10.1093/sleep/zsaa056.384 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A148-A148

Author(s):

S Hong

Keyword(s):

Air Pollution ◽

South Korea ◽

Sleep Quality ◽

Cross Sectional Study ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Community Health Survey ◽

Gyeonggi Province

Abstract Introduction Poor sleep quality is associated with adverse health outcomes, such as cardiovascular disease, diabetes and obesity. Several studies have indicated the association between exposure to air pollution and sleep quality. However, the evidence is very limited in South Korea. Methods We conducted a cross-sectional study using data from a nationwide sample of 165,193 individuals aged 19 years or older from the 2018 Korea Community Health Survey. Perceived air pollution was measured in the baseline survey. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Poor sleep quality was defined by the global score of PSQI > 5. The associations between perceived air pollution and sleep quality were examined using the regression models. Additionally, the average concentration of PM2.5 was measured in each region using a satellite-based prediction to see the association between perceived air pollution and long term exposure of fine dust. Results After adjusted for age, education, and income, the adjusted odds ratios (95% confidence interval) of poor sleep quality associated with perceived air pollution was 1.45. The average of daily concentrations of PM2.5 over 3 years was highest in Incheon area, followed by Seoul and Busan city. Among Gyeonggi Province, the most populous region in South Korea, the PM2.5 concentrations was the highest in Ansan. In each region in Korea, Incheon had the highest poor sleep quality rate of 48.0%, while Ansan in Gyeonggi Province had the highest rate of 61.5%. The results are in line with the distribution of PM2.5 concentrations by region. Conclusion Perceived air pollution and long term exposure of fine dust were associated with poor sleep quality in South Korea. Improvement of air quality may help to improve sleep quality. More studies are in need in the future to explore the biological mechanism for the relationship, and to also examine such relationship among different populations and in difference environments. Support For this study, we used raw data from the 2018 Korea Community Health Survey (KCHS), conducted by the Korea Centers for Disease Control and Prevention

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Expanding the screening toolbox to promote athlete health: how the US Olympic & Paralympic Committee screened for health problems in 940 elite athletes

British Journal of Sports Medicine ◽

10.1136/bjsports-2020-102756 ◽

2020 ◽

pp. bjsports-2020-102756

Author(s):

Dustin Nabhan ◽

Melie Lewis ◽

David Taylor ◽

Roald Bahr

Keyword(s):

Mental Health ◽

Sleep Quality ◽

Sleep Apnoea ◽

Screening Tools ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Positive Screen ◽

Health History ◽

Patient Health ◽

Anxiety Depression

AimTo assess the value of including validated screening tools for allergies, anxiety, depression, sleep apnoea and sleep quality into an electronic patient health history questionnaire.MethodsIn this descriptive study, we reviewed electronic medical records of Olympic and Paralympic athletes who completed health screenings, which included validated screens for allergies (Allergy Questionnaire for Athletes), anxiety (General Anxiety Disorder-2), depression (Patient Health Questionaire-2), sleep apnoea (Berlin Questionnaire) and sleep quality (Pittsburgh Sleep Quality Index), using established criteria for a positive screen. We report the prevalence of positive tests and the associations between positive screening tools.ResultsA total of 683 Olympic and 257 Paralympic athletes (462 male, 478 female) completed the health history between May and September of 2019. At least one positive screen was reported by 37% of athletes training for the Olympics and 48% of athletes training for the Paralympics. More than 20% of all athletes screened positive for allergies and poor sleep quality. Athletes training for the Paralympics had a significantly higher percentage of positive screens for anxiety, depression, poor sleep quality and sleep apnoea risk. Females had significantly more positive screens for allergy and poor sleep quality.ConclusionsThe addition of standardised screening tools to an electronic health history resulted in the identification of potential mental health, sleep and allergy problems in both Olympic and Paralympic athletes. Strong associations between mental health and sleep disorders suggest these problems should be considered together in health screening programmes.

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