scholarly journals Sleep Quality among Healthcare Providers; In Riyadh, 2019.

2019 ◽  
Vol 6 (05) ◽  
pp. 4438-4448
Author(s):  
Fahad A. Alamri ◽  
Samar A. Amer ◽  
Almaha Almubarak ◽  
Hadeel Alanazi
Keyword(s):  
Health Status ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Disorder ◽  
Healthcare Providers ◽  
Capital City ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Poor Sleep Quality ◽  
High Prevalence

Introduction:   Sleep plays an essential role in health and wellbeing. One of every three Saudis has short sleep duration per night. Saudi medical students had a high prevalence of sleep disorder, 36.6% of them were have abnormal sleep habits. So, this the study aimed to assess then improve the sleep quality and overall health status  among healthcare providers (HCPs), by online surveying   HCPs in the capital city of the kingdom of Saudi Arabia in Riyadh from Jan to Feb 2019 ,through the following objectives; To assess sleep quality among HCPs, to measure the prevalence of sleep disturbance, and to study the factors and determinants that may affect sleep quality. Methodology: An analytical cross-sectional study targeting   518 of randomly selected HCPs in Riyadh after a written informed consent. Using online, self-administrated, pretested; an Arabic questionnaire composed of 33 questions divided into three main parts ;( addresses the sociodemographic and work characteristics, to assess sleep habits and quality using Pittsburgh Sleep Quality Index (PSQI), and the third part to study factors and determinants that affects the sleep quality. The suitable tests were used to analyze the coded collected data using SPSS. Results:  the majority of the HCPs were 49.7% aged less than 30 y old, 65.9% females, 53.2% married, 91.7% Saudi, 23.3% health educator specialists, 93.6% working in governmental hospitals, and median of 5 years of experience. A high prevalence of poor sleep quality 85.9% as median the sleep quality score was 10, range (3-21), its significantly affected by all the studied variables (age, specialty, sex, job position, and the health status). The main causes of sleep disturbances were work stressors ( 41.3%), social stressors 33.8%, cell phone use(31.6%), and the health status 12.7% in descending orders.44.4% of HCPS reported a diagnosed sleep disorder mainly altered sleeping times.   Conclusions: poor sleep quality is highly prevalent among HCPs in Riyadh city. the sleep efficacy, sleep medication and sleep disturbance were the most affected components.

scholarly journals High Prevalence of Poor Sleep Quality in Chronic Foot and Ankle Conditions

2019 ◽  
Vol 4 (4) ◽  
pp. 2473011419S0026
Author(s):  
Kyle N. Kunze ◽  
Kevin Wu ◽  
Connor Wakefield ◽  
Daniel D. Bohl ◽  
George B. Holmes ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Surgical Management ◽  
Tertiary Care ◽  
Poor Sleep ◽  
Foot And Ankle ◽  
Poor Sleep Quality ◽  
Ankle Pain ◽  
High Prevalence ◽  
The Mean

Category: Ankle, Hindfoot, Midfoot/Forefoot Introduction/Purpose: Sleep disturbance is a known risk factor for poor healing and is associated with medical co-morbidities. Poor sleep quality is also a common complaint of pre-operative patients; yet, there remains a paucity of investigations in this realm. The purpose of this study is to quantify the prevalence of sleep disturbance in patients undergoing surgical management of chronic foot and ankle conditions. Methods: Patients scheduled for first-time surgical management of a chronic foot and ankle condition were identified between May and November of 2018 at a tertiary care medical center. Patients with a known sleep disorder or refusal to participate were excluded. Of 139 patients initially identified, 84 (60.4%) were included and administered the Pittsburgh Sleep Quality Index (PSQI) pre-operatively. The PSQI ranges from 0-21, with a score ±5 indicative of poor sleep quality. Patients were also asked to rate their perception of how their foot or ankle pain influenced their sleep quality on a scale of 0-10 (foot ankle pain perception score, FAPPS). A multivariate linear regression model was used to determine predictors of sleep disturbance. Results: The mean (+/- standard deviation) age of the 84 included patients was 48.2+/-13.8 years; body mass index (BMI) was 28.9+/-5.0 kg/m2; 52.4% of patients identified as male; and conditions and treatments were varied (Table 1). The mean PSQI score was 7.6+/-4.3 (range, 2-21) and mean FAPPS was 3.2+/-2.7. A total of 64 (76.2%) patients had a PSQI score greater than/equal to 5, indicating presence of sleep disturbance. A total of 68 (81.0%) patients had a FAPPS greater than/equal to 1, indicating that a patient perceived that their foot or ankle pain contributed to sleep disturbance. Age, sex, BMI, and condition/treatment category were not correlated with PSQI score (p>0.05 for each); however, greater FAPPS was an independent predictor of a greater PSQI score (p<0.001). Conclusion: Patients presenting for management of chronic foot and ankle conditions have a high prevalence of sleep disturbance pre-operatively. The majority of these patients perceive their foot and ankle conditions to significantly contribute to their sleep disturbance. Further testing assessing post-operative changes to sleep quality is warranted.

Low Back Pain and Its Correlations with Poor Sleep Quality Among Healthcare Providers

2021 ◽  
pp. 31
Author(s):  
Rayan Buhalim
Keyword(s):  
Saudi Arabia ◽  
Low Back Pain ◽  
Back Pain ◽  
Sleep Quality ◽  
Healthcare Providers ◽  
Reciprocal Relationship ◽  
Musculoskeletal Symptom ◽  
Poor Sleep ◽  
Low Back ◽  
Poor Sleep Quality

Introduction: Low back pain is found to be the most common occupational and work-related musculoskeletal symptom worldwide. Its prevalence was found to be almost twice among healthcare providers (HCPs) than in other occupations. It is observed that the prevalence of poor sleep quality is higher in HCPs than the general population. To the best of our knowledge, this reciprocal relationship is still unresolved. Thus, this study aims to establish the relationship between low back pain and sleep quality among HCPs in Saudi Arabia. Methodology: An anonymous cross-sectional questionnaire-based study was performed on HCPs in Saudi Arabia. The questionnaire consisted of three sections. The first section included the biographical data of the participants; the second included Oswestry Disability Index (ODI) and Nordic musculoskeletal questionnaire for low back pain; and the third section was the Pittsburgh Sleep Quality Index (PSQI). Informed consent from each participant and ethical approval were taken before the commencement of the study. Result: Four hundred and forty-two respondents participated and completed the questionnaire. Nearly two-thirds of the respondents were male (62.7%) while the rest were female (37.3%). Most of the respondents were living in either the central (23.3%) or the northern (23.3%) regions. It was found that the correlation between global PSQI and ODI score was positively highly statistically significant (r = 0.235; p < 0.001). The correlation between ODI score and PSQI components including subjective sleep quality (r = 0.229; p = 0.007), habitual sleep efficiency (r = 0.229; p < 0.01), and daytime dysfunction were also positively highly statistically significant. Conclusion: HCPs in Saudi Arabia with higher low back pain disability rating demonstrated poorer overall sleep quality and vice versa. However, further research is needed to investigate whether this relationship is dependent on each other in terms of causality.

Sleep Disturbance in Psoriatic Disease: Prevalence and Associated Factors

2017 ◽  
Vol 44 (9) ◽  
pp. 1369-1374 ◽  
Author(s):  
Ian T.Y. Wong ◽  
Vinod Chandran ◽  
Suzanne Li ◽  
Dafna D. Gladman
Keyword(s):  
Psoriatic Arthritis ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Quality Index ◽  
Short Form ◽  
Life Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Psoriatic Disease ◽  
Patient Reported

Objective.We aimed to determine the prevalence and quality of sleep in patients with psoriatic arthritis (PsA) and those with psoriasis without PsA (PsC) followed in the same center, to identify factors associated with sleep disturbance, and to compare findings to those of healthy controls (HC).Methods.The study included 113 PsA [ClASsification for Psoriatic ARthritis (CASPAR) criteria] and 62 PsC (PsA excluded by a rheumatologist) patients and 52 HC. Clinical variables were collected using a standard protocol. The sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Other patient-reported outcomes collected included the Health Assessment Questionnaire (HAQ), Dermatology Life Quality Index, EQ-5D, Medical Outcomes Study Short Form-36 survey, patient’s global assessment, and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-fatigue) scale. Statistical analyses included descriptive statistics, Wilcoxon rank-sum test, and linear regression.Results.The prevalence of poor sleep quality was 84%, 69%, and 50% in PsA, PsC, and HC, respectively. Total PSQI score was higher in both patients with PsA and patients with PsC compared with HC (p < 0.01) and higher in patients with PsA compared to patients with PsC (p < 0.0001). EQ-5D anxiety component, EQ-5D final, and FACIT-fatigue were independently associated with worse PSQI in patients with PsC and those with PsA (p < 0.05). Actively inflamed (tender or swollen) joints are independently associated with worse PSQI in patients with PsA (p < 0.01).Conclusion.Patients with psoriatic disease have poor sleep quality. Poor sleep is associated with fatigue, anxiety, and lower EQ-5D. In patients with PsA, poor sleep is associated with active joint inflammation.

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

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
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.

scholarly journals Analysis of NHANES 2005–2016 Data Showed Significant Association Between Micro and Macronutrient Intake and Various Sleep Variables (P06-103-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Chioma Ikonte ◽  
Carroll Reider ◽  
Victor Fulgoni ◽  
Susan Mitmesser
Keyword(s):  
Sleep Quality ◽  
Sleep Disorder ◽  
Dietary Fiber ◽  
Sleep Latency ◽  
Poor Sleep ◽  
Inverse Association ◽  
Macronutrient Intake ◽  
Poor Sleep Quality ◽  
Short Sleep ◽  
Quality Sleep

Abstract Objectives To understand the association between micro and macronutrient intake and sleep variables from the National Health and Nutrition Evaluation Survey (NHANES, 2005–2016). Methods Data analysis was performed using SAS 9.4; regression analysis was used to assess the relationship (p < 0.05) of nutrient intake with sleep variables. All nutrients were individual usual intakes determined using the National Cancer Institute method from food plus supplements; covariates included age, gender, ethnicity, poverty income ration, current smoking status and physical activity level. Individuals 16+ years of age were included in the analysis; pregnant or lactating females and those with unreliable dietary recalls were excluded in the analysis. Seven (7) Sleep variables included in the analysis were short sleep hours (<7 hrs of sleep) and trouble sleeping (NHANES 2005–2016), sleep disorder (NHANES, 2005–2014) and poor sleep quality, insomnia, sleep latency, and use of sleeping pills >5 times in the last month (NHANES 2005–2008). Results In adults (males and females) 19+ years, 32.7% experienced short sleep; 47.3% poor sleep quality; 8.94% a sleep disorder; 37.9% sleep latency; 9.30% used sleeping pills; 15.1% exhibited insomnia; and 27.7% experienced sleep trouble. Within this population, short sleep was significantly (p < 0.05) associated with the greatest number of nutrients; showing an inverse association with magnesium, niacin, vitamin D, calcium, and dietary fiber intake. Across all seven sleep variables, however, magnesium, niacin and vitamin D demonstrated significant (p < 0.05) inverse association within this population. Inverse associations were also found for dietary fiber intake and short sleep and sleep disorder; phosphorus intake and poor sleep quality, sleep latency and sleep pill use; and vitamin K intake and poor sleep quality, sleep disorder, sleep latency and sleep pill use in the gender combined adults 19+ years. Within this population however, there were direct associations for the intakes of protein and vitamin B6 and short sleep, sleep disorder and sleep trouble; for the intakes of sodium and vitamin A and poor sleep quality, sleep latency and sleep pill use; for the intake of vitamin B12 and poor ADL and insomnia; and for the intake of zinc and sleep quality, sleep latency, sleep pill use, poor ADL and insomnia. Among female adults 19+ years, dietary fiber was the only nutrient that showed an inverse association with all seven sleep variables. Conclusions These findings demonstrate the importance of micro and macronutrient intake on numerous sleep variables. Funding Sources This analysis was funded by Pharmavite, LLC.

High prevalence of irritable bowel syndrome with poor sleep quality in children and adolescents in Shanghai

2012 ◽  
Vol 10 (3) ◽  
pp. 179-186 ◽  
Author(s):  
Hui-Qing ZHOU ◽  
Min YAO ◽  
Wei-Bin CHEN ◽  
Miao-Fang SUN ◽  
Guang-Yu CHENG ◽  
...  
Keyword(s):  
Irritable Bowel Syndrome ◽  
Sleep Quality ◽  
Children And Adolescents ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
High Prevalence ◽  
Irritable Bowel

scholarly journals Quality of sleep and associated factors among people living with HIV/AIDS on follow up at Ethiopian Zewditu Memorial Hospital,2018

2020 ◽  
Author(s):  
Nebiyu Mengistu ◽  
Telake Azale ◽  
Solomon Yimer ◽  
Mahilet Fikreyesus ◽  
Elsa Melaku ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Associated Factors ◽  
Poor Sleep ◽  
People Living With Hiv ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Living With Hiv ◽  
Hiv Aids

Abstract Background: Sleep disturbance is a common complaint in people living with HIV/AIDS. Despite the influence of sleep disturbance on treatment adherence, quality of life, work productivity, risk of chronic illness, it remains under-recognized and under-studied in Ethiopia. Therefore it is necessary to produce scientific evidence to fill the knowledge gap and areas of management. The current study aimed to assess sleep quality and its associated factors among people living with HIV/AIDS. Methods: An institution-based cross-sectional study was utilized among 408 participants who were selected by a systematic random sampling technique at Zewditu memorial hospital from April to May 2018. The Pittsburgh Sleep Quality Index questionnaire was used to measure sleep quality. Ethical clearance was obtained from the joint ethics committee of the University of Gondar and Amanuel Mental Specialized Hospital. Oral informed consent was obtained from each participant. Binary and multivariable logistic regression models were fitted. Odds ratios (OR) with the corresponding 95% confidence interval (95%CI) was computed. Results: The magnitude of poor sleep quality was 55.6%. Being female [AOR=3.40, 95% CI: (1.80, 6.41)], depression [AOR =3.52, 95% CI: (1.95, 6.32)], CD4count ≤ 200 cells/mm3 [AOR=3.18,95%CI: (1.65,6.13)], duration of HIV/AIDS diagnosis [AOR=3.43,95% CI: (1.61,7.29)], current use of tobacco [AOR=5.69, 95% CI: (2.04,15.9)] and chat or caffeinated drinks [AOR=2.65, 95% CI: (1.06,6.64)] and poor sleep hygiene [AOR=3.55, 95% CI: (1.85, 6.78)] were significantly associated with poor sleep quality.Conclusions: More than half of the study participants were found to have poor sleep quality. A range factors influence quality of sleep of people with HIV/AIDS. Routine screening of sleep condition among people living with HIV/AIDS and early intervention based on the findings is suggested.

scholarly journals Sleep Disturbance Among Patients with Myelodysplastic Syndromes and Acute Leukemia

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4786-4786
Author(s):  
Marlise Luskin ◽  
Eric Zhou ◽  
Zilu Zhang ◽  
Daniel J. DeAngelo ◽  
Richard Stone ◽  
...  
Keyword(s):  
Acute Leukemia ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Myelodysplastic Syndromes ◽  
Research Funding ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Entire Cohort ◽  
Obstructive Sleep ◽  
Leukemia Data

BACKGROUND: Most patients with myelodysplastic syndromes (MDS) describe difficulty sleeping (Luskin et al Br J Haem 2017) and sleep disturbance is a likely contributor to the fatigue experienced by patients with MDS and acute leukemia. Data are sparse regarding the sleep of this patient population as formally assessed with sleep-focused survey instruments. METHODS: We surveyed consecutive adult patients with MDS, AML or ALL at the Dana-Farber Leukemia clinic. With permission from the treating oncologist, patients with a physician-assessed life expectancy ≥ 12 weeks were mailed a questionnaire packet assessing insomnia symptom severity (Insomnia Severity Index; ISI), sleep quality (Pittsburgh Sleep Quality Index; PSQI), obstructive sleep apnea risk (STOP-Bang), and depressive symptoms (Patient Health Questionnaire-9; PHQ-9). Respondents underwent concomitant medical record review. RESULTS: Of 332 eligible patients contacted, 158 (47.6%) responded. Responders were 56% male with a median age of 67 years. Overall, 42% of patients reported insomnia symptoms (ISI ≥10) with the prevalence of such symptoms similar among patients with MDS and acute leukemia (48% vs 38%, p=0.23). OSA risk was high (58%), particularly in patients with MDS (67% vs 52% p=0.10). Those with high OSA risk were more likely to have clinical insomnia as defined by ISI ≥10 (OR 2.6, p=0.01). Depression was uncommon: only 7% had PHQ-measured moderately severe or severe depression. Median sleep duration for the entire cohort was 6.9 hours (range 3-12) indicating that over half of respondents slept less than the 7 hours per night recommended by the National Sleep Foundation for healthy adults. Poor sleep quality (PSQI "Bad Sleep") was seen in 79% of the overall cohort. CONCLUSION: When measured with validated tools, disturbed sleep is common among patients with MDS and acute leukemia. OSA risk is also prevalent but does not likely explain all of the poor sleep quality seen. These data suggest that strategies are needed to improve both quantity and quality of sleep in this population. Table Disclosures DeAngelo: Abbvie: Research Funding; GlycoMimetics: Research Funding; Blueprint: Consultancy, Research Funding; Amgen: Consultancy; Celgene: Consultancy; Shire: Consultancy; Incyte: Consultancy; Novartis: Consultancy, Research Funding; Takeda Pharmaceuticals: Consultancy; Jazz Pharmaceuticals Inc: Consultancy; Pfizer: Consultancy. Garcia:Abbvie: Research Funding; Genentech: Research Funding. Winer:Jazz Pharmaceuticals, Pfizer: Consultancy. Steensma:Aprea: Research Funding; Arrowhead: Equity Ownership; Pfizer: Consultancy; H3 Biosciences: Other: Research funding to institution, not investigator.; Astex: Consultancy; Onconova: Consultancy; Stemline: Consultancy; Summer Road: Consultancy.

scholarly journals Sleep Quality and Psychological Status in a Group of Italian Prisoners

2020 ◽  
Vol 17 (12) ◽  
pp. 4224
Author(s):  
Giulia D’Aurizio ◽  
Angelica Caldarola ◽  
Marianna Ninniri ◽  
Marialucia Avvantaggiato ◽  
Giuseppe Curcio
Keyword(s):  
Sleep Quality ◽  
Psychological Status ◽  
Anxiety State ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Stressful Situation ◽  
Sleep Habits ◽  
Poor Sleep Quality ◽  
Medium Security ◽  
Insomnia Complaints

Prison could be considered a prolonged stressful situation that can trigger not only a dysregulation of sleep patterns but can also bring out psychiatric illness, such as anxiety and depression symptoms. Our study is aimed at exploring sleep quality and sleep habits in an Italian prison ward with three different security levels, and to attempt to clarify how anxiety state and the total time spent in prison can moderate insomnia complaints. There were 129 participants divided into three groups who enrolled in this study: 50 were in the medium-security prison ward (Group 1), 58 were in the high-security prison ward (Group 2) and 21 were in the medium-security following a protocol of detention with reduced custodial measures (Group 3). All participants filled in a set of questionnaires that included the Beck Depression Inventory (BDI-2), the State-Trait Anxiety Inventory (STAI), the Pittsburgh Sleep Quality Index (PSQI), and the Insomnia Severity Index (ISI). Based on their responses, we observed that all participants showed poor sleep quality and insomnia, mild to moderate depressive symptoms that tended to a higher severity in Groups 1 and 3, and the presence of clinically significant anxiety symptoms, mainly in Groups 1 and 3. Our study shows that increased anxiety state-level and the presence of mood alteration corresponds to an increase in both poor sleep quality and, more specifically, insomnia complaints. Finally, we propose that TiP (total time in prison) could have an interesting and stabilizing paradox-function on anxiety state and insomnia.

Sign in / Sign up

Export Citation Format

Share Document