scholarly journals Prevalence of Metabolic Syndrome and Its Parameters and Their Correlations With Psoriasis Duration, Severity, and Sleep Quality In Psoriasis Patients: A Cross-Sectional Study

2021 ◽  
pp. 2021049
Author(s):  
Betul Tas ◽  
Vasfiye Kabeloglu
Keyword(s):  
Blood Pressure ◽  
Waist Circumference ◽  
Sleep Quality ◽  
Fasting Glucose ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Low Hdl ◽  
High Fasting Glucose ◽  
The Mean ◽  
Psoriasis Severity

Background: Psoriasis is an inflammatory skin disease that may lead to comorbidities, including metabolic syndrome (MS). Objective: We determined the prevalence of MS and its correlation with psoriasis duration, severity, and sleep quality in psoriasis patients. Methods: A total of 112 subjects with chronic plaque psoriasis were studied. Demographics, MS parameters, disease duration, severity, and sleep quality were examined. The Psoriasis Area and Severity Index (PASI)and the Pittsburgh Sleep Quality Index (PSQI) were used to assess psoriasis severity and sleep quality, respectively. Presence of MS and its correlations with psoriasis duration, severity and sleep quality were investigated. Results: Of 112 patients, 76 (67.8%) were diagnosed with MS. Of all patients, 74.1% had a high PASI, and 84.8% had a high PSQI. The mean values of psoriasis duration, body mass index, waist circumference, fasting glucose, HOMA-IR, triglyceride levels, blood pressure, PSQI, sleep latency, and daytime sleep dysfunction were significantly higher in the MS group than non-MS group, whereas the mean HDL level was lower. The prevalences of MS, high fasting glucose, and low HDL were significantly higher among female, but not male, patients with severe psoriasis (PASI >10) than those without severe psoriasis. Disease duration, high body mass index, waist circumference, blood pressure, fasting glucose, HOMA-IR, triglyceride levels, low HDL, and poor sleep quality were significantly correlated with the presence of MS. However, only waist circumference, fasting glucose, blood pressure, and low HDL were predictive of the development of MS. Conclusions: MS is common among psoriasis patients, and especially in females with advanced psoriasis, high fasting glucose, and low HDL levels. Besides diagnostic criteria of MS, a long duration of psoriasis, poor sleep quality and high-HOMA-IR correlate with the development of MS. High fasting glucose and low HDL levels may facilitate MS development in association with psoriasis severity in females.    

P4403Sleep quality is associated with visit-to-visit blood pressure variability in elderly people

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
N Sasaki ◽  
R Ozono ◽  
R Maeda ◽  
Y Kihara
Keyword(s):  
Blood Pressure ◽  
Sleep Quality ◽  
Multiple Regression ◽  
Elderly People ◽  
Cardiac Disease ◽  
Blood Pressure Variability ◽  
Poor Sleep ◽  
Health Examination ◽  
Poor Sleep Quality ◽  
The Mean

Abstract Background The proportion of people suffering from poor sleep quality increases with age. Several studies reported that poor sleep quality is involved in elevation of blood pressure (BP) level and the development of hypertension. However, it is unclear whether sleep quality is associated with visit-to-visit BP variability, which is related to the incident cardiovascular disease independent of mean BP. Purpose In this study, we investigated the association between sleep quality and visit-to-visit BP variability in elderly people. Methods This is an observational study involving 3313 participants without atrial fibrillation, aged 68 years or older, who underwent assessment of sleep quality at general health examination between October 2014 and September 2015, and had more than four visits during the first 3 years following the assessment. Of these, 1951 participants (59%) had hypertension, 488 (17%) had diabetes, 432 (13%) had dyslipidemia, and 333 (10%) were on treatment for, or with a history of, cardiac disease. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI), which yields seven component scores (0, 1, 2, or 3 is given for each component). A sum of the seven scores was used to calculate the global PSQI score which ranged from 0 to 21. Higher scores indicated poorer sleep quality. Visit-to-visit BP variability for each individual was evaluated by coefficient of variation (CV, defined as standard deviation/mean). Results The mean global PSQI score was 5.2±3.2. The mean CV of SBP and CV of DBP was 6.9±3.0, and 8.0±3.5, respectively. The global PSQI score was significantly associated with CV of SBP (ρ= 0.039, P=0.025), and CV of DBP (ρ= 0.039, P=0.024) in Spearman's rank correlation coefficient test. Multiple regression analyses showed that the global PSQI score was a significant contributor to CV of SBP, and CV of DBP, after adjusting for variables with P values <0.1 in Spearman's test (Table). Table 1. Multiple regression analysis for blood pressure variability (n=3313) Variables CV of SBP CV of DBP β P β P Age 0.131 <0.001 0.140 <0.001 Female −0.017 0.338 0.023 0.186 Hypertension 0.037 0.032 0.031 0.073 Cardiac disease 0.045 0.009 0.038 0.030 Global PSQI score 0.035 0.042 0.047 0.007 Conclusion Sleep quality is associated with visit-to-visit BP variability in elderly people.

scholarly journals Sleep Quality and Its Associated Factors among Low-Income Adults in a Rural Area of China: A Population-Based Study

2018 ◽  
Vol 15 (9) ◽  
pp. 2055 ◽  
Author(s):  
Wenwen Wu ◽  
Wenru Wang ◽  
Zhuangzhuang Dong ◽  
Yaofei Xie ◽  
Yaohua Gu ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Low Income ◽  
Rural Areas ◽  
Population Based ◽  
Poor Sleep ◽  
Chinese Adults ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Health Related ◽  
The Mean

Background: There is limited population-based research focusing on sleep quality among low-income Chinese adults in rural areas. This study aimed to assess sleep quality among low-income adults in a rural area in China and identify the association between sleep quality and sociodemographic, lifestyle and health-related factors. Methods: The study was conducted from September to November in 2017 using a cross-sectional survey questionnaire. A total of 6905 participants were recruited via multistage, stratified cluster sampling. Data were collected using the Chinese versions of Pittsburgh Sleep Quality Index and Food Frequency Questionnaire, while we also determined the sociodemographic profiles of the participants. Results: The mean age of the sample was 58.71 ± 14.50 years, with 59.7% being male, while the mean duration of daily sleep was 5.95 ± 1.31 h, with 56.7% reportedly experiencing poor sleep quality. Multiple regression analysis revealed that older age, unemployment, lower income, disability and chronic disease comorbidities were significant factors associated with an increased risk of poor sleep quality for both genders. Moreover, married and higher education level were associated with decreased risk of poor sleep quality for females, while a meat-heavy diet and illness during the past two weeks increased the risk of poor sleep quality for males. Conclusions: Sociodemographic, lifestyle and health-related factors had an impact on the frequently poor sleep quality of low-income Chinese adults in rural areas. Thus, comprehensive measures must be developed to address the modifiable predictive factors that can possibly enhance sleep quality.

scholarly journals Perception of Sleep Disturbances due to Bedtime Use of Blue Light-Emitting Devices and Its Impact on Habits and Sleep Quality among Young Medical Students

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Asmaa Jniene ◽  
Leila Errguig ◽  
Abdelkader Jalil El Hangouche ◽  
Hanan Rkain ◽  
Souad Aboudrar ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Blue Light ◽  
Sleep Disturbances ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Light Emitting ◽  
Light Emitting Devices ◽  
The Mean ◽  
Perception Of Sleep

Introduction. The use of blue light-emitting devices (smartphones, tablets, and laptops) at bedtime has negative effects on sleep due to light stimulation and/or problematic excessive use. We aimed to evaluate, among young medical students, if the perception of sleep disturbances due to bedtime use of these devices is consistent with healthier habits and a better sleep quality. Materials and methods. 294 medical students in medicine and pharmacy from the Faculty of Medicine and Pharmacy of Rabat, Morocco, took part in this anonymous and voluntary cross-sectional study and answered an electronic questionnaire. Student and Mann–Whitney U tests were used to compare variables between 2 groups based on their perception of sleep disturbances. The level of significance was p≤0.05. Results. 286 students (97.3%) used a blue light-emitting smart device at bedtime before sleep, and sleep quality was poor (Pittsburgh Sleep Quality Index, PSQI > 5) in 101 students (35.3%). The perception of sleep disturbances due to this night usage was reported by 188 of them (65.7%). In this group, 154 (81.9%) used their device with all the lights turned off in the room (p=0.02), 34 (18.1%) put devices under pillows (p=0.04), 114 (60.6%) interrupted sleep to check messages (p<0.001), and the mean duration use of these technologies at bedtime was 2 h ± 23 min per night (p=0.02). Also, the mean sleep duration was 6.3 hours ± 1.25 (p=0.04), 119 (63.3%) presented fatigue on waking more than one time per week (p=0.04), and 76 (40.4%) presented poor sleep quality (75.2% of the students with PSQI > 5) (p=0.005). Conclusions. Despite the perception of sleep disturbances due to bedtime use of blue light-emitting devices, unhealthy sleep habits tend to be frequent in young medical students and worrying because it is associated to significant poor sleep quality.

Nocturnal serum melatonin levels in sulfur mustard exposed patients with sleep disorders

2017 ◽  
pp. jramc-2016-000677
Author(s):  
Seyyedeh Soghra Mousavi ◽  
E Vahedi ◽  
M Shohrati ◽  
Y Panahi ◽  
S Parvin
Keyword(s):  
Sleep Quality ◽  
Sulfur Mustard ◽  
Pulmonary Function Tests ◽  
Critical Role ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Respiratory Disorders ◽  
Obstructive Sleep ◽  
Significant Difference ◽  
The Mean

BackgroundSulfur mustard (SM) exposure causes respiratory disorders, progressive deterioration in lung function and mortality in injured victims and poor sleep quality is one of the most common problems among SM-exposed patients. Since melatonin has a critical role in regulation of sleep and awareness, this study aimed to evaluate the serum melatonin levels in SM-injured subjects.MethodsA total of 30 SM-exposed male patients and 10 controls was evaluated. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI); daytime sleepiness was measured by the Epworth Sleepiness Scale (ESS), and the risk of obstructive sleep apnoea was determined by the STOP-Bang questionnaire. Polysomnography (PSG) and pulmonary function tests (PFTs) were also available. Nocturnal serum melatonin levels were measured using an ELISA kit.ResultsThe mean of PSQI, ESS and STOP-Bang scores in patients (11.76±3.56, 12.6±3.03 and 5.03±1.09, respectively) were significantly (p<0.01) higher than those in the controls (2.78±0.83, 4.69±1.15 and 1.18±0.82, respectively). PFTs also showed declined respiratory quality in SM-patients. There was a significant difference regarding the PSG results between patients and controls (p<0.01). The mean of nocturnal serum melatonin levels in patients (29.78±19.31 pg/mL) was significantly (p=0.005) lower than that in the controls (78.53±34.41 pg/mL).ConclusionsReduced nocturnal serum melatonin and respiratory disorders can be the reasons for poor sleep quality among these patients.Trial registration numberIRCT2015092924267N1, Pre-results.

scholarly journals Determiner of Poor Sleep Quality in Chronic Kidney Disease Patients Links to Elevated Diastolic Blood Pressure, hs-CRP, and Blood-count-based Inflammatory Predictors

2019 ◽  
Vol 11 (1) ◽  
pp. 100-6
Author(s):  
Maulana Antiyan Empitu ◽  
Ika Nindya Kadariswantiningsih ◽  
Mochammad Thaha ◽  
Cahyo Wibisono Nugroho ◽  
Eka Arum Cahyaning Putri ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Sleep Quality ◽  
Diastolic Blood Pressure ◽  
Blood Count ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Lymphocyte Ratio ◽  
Hs Crp

BACKGROUND: Sleep deprivation is strongly associated with cardiovascular disease (CVD) via sympathetic overstimulation and systemic inflammation in general population. However, the significance of poor sleep quality in chronic kidney disease (CKD) is still underexplored.METHODS: This study assessed the sleep quality of 39 with non-dialysis CKD (ND CKD) patients and 25 hemodialysis CKD (HD CKD) patients using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Poor sleeper was defined as individual with PSQI > 5.RESULTS: The prevalence of poor sleeper (30% vs. 60%, p=0.029) and the cummulative PSQI (ND CKD 4.5±4.4, HD CKD 8±6, p=0.038) are different between ND CKD and HD CKD groups. Among the ND CKD, there are association between short sleep duration (< 5 hours per day) with elevated diastolic blood pressure groups (r=0.421, p<0.05); habitual sleep efficiency with platelet-to-lymphocyte ratio (r= 0.532, p<0.0001); daytime dysfunction with increased hs-CRP (r=0.345, p=0.032) and neutrophil-to-lymphocyte ratio (r=0.320, p=0.046). In HD CKD group, a requirement to use sleep medication was associated with elevated highsensitivity C-reactive protein (hs-CRP) level (r=0.434, p=0.030) and decreased monocyte-to-lymphocyte ratio (r=- 0.410, p=0.042); daytime dysfunction was associated with serum hs-CRP (r=0.452, p=0.023).CONCLUSION: This study revealed that some features of poor sleep quality in CKD patients including low sleep efficiency, daytime dysfunction and requirement to use sleep medication were associated with increased diastolic blood pressure, hs-CRP and blood-count-based inflammatory predictors. Thus, this finding prompt to pay closer attention to sleep complaints in the management of CVD risk factors in CKD patients.KEYWORDS: sleep quality, chronic kidney disease, blood pressure, inflammation

scholarly journals Hypertension Associated with Poor Sleep Quality in The Elderly Population in Batu City

2021 ◽  
Vol 5 (2) ◽  
pp. 65-72
Author(s):  
Siti Roziah Ria Famuji ◽  
Abdul Malik Setiawan ◽  
Achdiat Agoes
Keyword(s):  
Blood Pressure ◽  
Sleep Quality ◽  
Adult Population ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Chi Square ◽  
Geriatric Population ◽  
Cross Sectional

Hypertension affects approximately 26% of the adult population and it is a leading cause of death in up to 13.5% worldwide. Hypertension is a disease with the highest prevalence in Indonesia, so good treatment and prevention are needed. Several studies suggest that there is a correlation between hypertension risk factors and the disturbance of sleep quality. Therefore, it is necessary to develop preventive and promotive efforts to obtain optimum blood pressure in patients with hypertension to avoid complications or even death. This study aims to find out the correlation between sleep quality and the value of blood pressure in the elderly ?60 years old in Batu City. A cross-sectional study was conducted in Batu City in 2020. Stratified random sampling was performed to select the respondents. A validated PSQI questionnaire and sphygmomanometer were used to assess sleep quality and blood pressure, respectively. A Chi-Square test was used to test the hypothesis. There were 391 respondents involved in this study. Most of the respondents have poor sleep quality, 205 respondents (52,43%) of which 41 respondents (20%) have normal blood pressure, and 164 respondents (80%) have high blood pressure. The statistical analysis shows a significant correlation (p=0,000) between sleep quality and blood pressure. In conclusion, hypertension is associated with poor sleep quality in the geriatric population in Batu City.

scholarly journals The relationship between Fear of Hypoglycemia and Sleep Quality among type II Diabetic Patients

2019 ◽  
Author(s):  
Leili Yekefallah ◽  
Farzaneh Talebi ◽  
Ali Razaghpoor ◽  
Mohammmad Hossein Mafi
Keyword(s):  
Sleep Quality ◽  
Significant Relationship ◽  
Diabetic Patients ◽  
Poor Sleep ◽  
Type Ii ◽  
Poor Sleep Quality ◽  
Fear Of Hypoglycemia ◽  
The Mean ◽  
The Relationship

Abstract Introduction and Objective Fear of hypoglycemia can result in anxiety, stress, anger, depression and severe avoidance behaviors that it affects the sleep quality of diabetic patients. Therefore, the present study was conducted with the aim of investigating the relationship between fear of hypoglycemia and sleep quality among type II diabetic patients. Methods The present cross-sectional study was conducted on 400 type II diabetic patients referred to endocrinology clinic of Velayat Hospital and Boali Hospital in Qazvin, in 2018. Data were collected using a checklist for demographic variables, the Fear of Hypoglycemia Survey (FHS-W), and the Pittsburgh sleep quality index (PSQI). Descriptive statistics and Spearman correlation test were performed for data analysis using SPSS v24. Results In this study, the mean age of diabetic patients was 55.75±10.31. The majority of the participants were female (n=299, 74.8%) and were treated with oral anti-diabetic drugs (n=174, 43.5%). The mean score of sleep quality in patients was 8.98±3.64 and the fear of hypoglycemia was 21.27±11.92. The results of this study showed that there was a significant relationship between the fear of hypoglycemia and the poor sleep quality among patients (p<0.001, r=0.305). Conclusion The fear of hypoglycemia has a direct and significant relationship with poor sleep quality in diabetic patients; so that this fear reduces the quality of sleep in diabetic patients. Therefore, in order to provide adequate sleep to prevent inappropriate sleep complications, great attention should be paid to the issue of fear of hypoglycemia, and consider some actions to reduce this fear.

scholarly journals Morningness-Eveningness Chronotypes, Sleep Quality, and Sleepiness Among Nurses

2019 ◽  
Vol 12 (1) ◽  
pp. 414-419
Author(s):  
Mohammad Hajaghazadeh ◽  
Vahid Zamanzadeh ◽  
Marjan Ghofrani ◽  
Samira Orujlu
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Analysis Of Covariance ◽  
University Hospital ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Mean

Background:Poor sleep quality and sleepiness is a common problem in nurses. The morningness-eveningness preference of nurses may affect their sleep quality.Objective:The objectives of this study were (1) to describe the quality of sleep in a group of hospital nurses and (2) to analyze the effect of shift work and morningness-eveningness on the sleep quality of nurses.Methods:In this cross-sectional study, 120 nurses completed the survey in a university hospital in Iran. The study tools were Pittsburgh Sleep Quality Questionnaire (PSQI), Epworth Sleepiness Scale (ESS), and Morningness-Eveningness Questionnaire (MEQ). Nurses with PSQI>5 and ESS≥10 were considered having poor sleep quality and excessive daytime sleepiness. Nurses were subdivided into morning-, intermediate- and evening-types according to MEQ. Data were analyzed by chi-square, Mann–Whitney U-test, logistic regression, and analysis of covariance (ANCOVA) tests.Results:The mean (±SD) of PSQI and ESS was 6.88(2.18) and 9.5(±3.9), respectively. About 74% of nurses reported poor sleep quality, and near 40% of the nurses had excessive daytime sleepiness. Sixty percent of nurses were intermediate-type, and the remaining was morning (24.2%) and evening (15.8%) types. The sleep quality and daytime sleepiness had a significant relation with shift work. The mean PSQI was significantly different between shift work and non-shift work nurses. The mean PSQI of three main chronotypes was statistically different.Conclusion:Poor sleep quality was prevalent in the nurses and was significantly associated with shift work and chronotype. The sleep preference of nurses would be considered as an important factor in the assignment of shift work by hospital managers.

Abstract P334: The Effects of Inadequate Sleep on Blood Pressure and Endothelial Inflammation in Women: Findings From the American Heart Association Go Red for Women Strategically Focused Research Network

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Brooke Aggarwal ◽  
Nour Makarem ◽  
Riddhi Shah ◽  
Memet Emin ◽  
Ying Wei ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Research Network ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality ◽  
Basic Study ◽  
Endothelial Inflammation

Background: Insufficient sleep impairs blood pressure regulation. However, the effects of milder, highly prevalent but frequently neglected sleep disturbances, including poor sleep quality and insomnia, on vascular health in women are unclear. We investigated whether poor sleep patterns are associated with blood pressure and endothelial inflammation in a diverse sample of women. Methods: Women who participated in the ongoing AHA Go Red for Women Strategically Focused Research Network population project were studied (n=323, 57% minority, mean age=39 + 17 y, range=20-79 y). Sleep duration, sleep quality, and time to sleep onset were assessed using the Pittsburgh Sleep Quality Index (score > 5=poor sleep quality). Risk for obstructive sleep apnea (OSA) was evaluated using the Berlin questionnaire, and insomnia was assessed using the Insomnia Severity Index (ISI). In a subset of women who participated in the basic study (n=28), sleep duration was assessed objectively using actigraphy and endothelial inflammation was assessed directly in harvested endothelial cells by measuring nuclear translocation of nuclear factor kappa B (NFκB). Vascular reactivity was measured by brachial artery flow-mediated dilation (FMD). Systolic and diastolic blood pressure (SBP and DPB) were measured by trained personnel. Multivariate linear regressions were used to evaluate associations between sleep patterns and blood pressure, NFκB and FMD. Results: Mean sleep duration was 6.8 ± 1.3 h/night in the population study and 7.5 ± 1.1 h/night in the basic study. In the population study sample, 50% had poor sleep quality (25% in the basic study), and 37% had some level of insomnia (15% in the basic study). SBP was associated directly with poor sleep quality, and DBP with OSA risk after adjusting for confounders (p=0.04 and p=0.08, respectively). Poor sleep quality was associated with endothelial NFκB activation (β=30.6; p=0.03). Insomnia and longer time to sleep onset were also associated with endothelial NFκB activation (β=27.6; p=0.002 and β=8.26; p=0.02, respectively). Sleep patterns were not associated with FMD. Conclusions: These findings provide direct evidence that common but frequently neglected sleep disturbances such as poor sleep quality and insomnia are associated with increased blood pressure and vascular inflammation even in the absence of sleep deprivation in women.

scholarly journals Associations between Sleep Quality and Different Measures of Obesity in Saudi Adults

2016 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Hala Hazam AL-Otaibi
Keyword(s):  
Saudi Arabia ◽  
Waist Circumference ◽  
University Students ◽  
Sleep Quality ◽  
Body Fat ◽  
Overweight And Obesity ◽  
Poor Sleep ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Poor Sleep Quality

The prevalence's of overweight and obesity have grown to epidemic proportions in Saudi Arabia the past few years, epidemiological studies have suggested that sleeping for less than seven hours/day is associated with increased morbidity in terms of the development of obesity. The aim of this study was to examine the association between sleep quality and different measures of obesity (body mass index, waist circumference and body fat percentage) and some lifestyle habits among female university students. A cross-sectional study targeted a convenience sample of 233 undergraduate female students at King Faisal University (KFU) in AL-Hasa, Saudi Arabia. The results indicated that poor sleep quality was common in students (54%) with mean total sleeping hours of five hours/day. Poor sleep quality was associated with overweight/obese (OR 4.210, P=0.000), at risk waist circumference (OR 2.005, P=0.009), moderate/high body fat percentage (OR 1.058, P=0.025), low physical active (OR 2.045, P=0.037), and skipping breakfast (OR 2.710, P=0.003). In conclusion, the present study highlights the prevalence of poor sleep quality among female university students in Saudi Arabia, and they support previously published studies indicating that poor sleep quality was associ­ated with different measures of obesity and some of lifestyle habits. Sleep quality is an untraditional approach that might be used to prevent or treat overweight and obesity.

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