scholarly journals Sleep quality and metabolic syndrome in overweight or obese children and adolescents

2016 ◽  
Vol 29 (3) ◽  
pp. 377-389 ◽  
Author(s):  
Nathalia Costa GONZAGA ◽  
Aline Silva Santos SENA ◽  
Alexsandro Silva COURA ◽  
Fábio Galvão DANTAS ◽  
Renata Cardoso OLIVEIRA ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Sleep Quality ◽  
Children And Adolescents ◽  
Diastolic Blood Pressure ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Obese Children ◽  
Poor Sleep Quality

ABSTRACT Objective To assess sleep quality and its association with metabolic syndrome and its components. Methods This cross-sectional study was conducted from June 2011 to March 2012 at the Childhood Obesity Center, Campina Grande, Paraíba , Brazil, with 135 overweight or obese children and adolescents. Sleep quality was assessed by the Pittsburgh Sleep Quality Index. Metabolic syndrome diagnosis was based on abdominal circumference, blood pressure, glycemia, high density lipoprotein-cholesterol, and triglycerides. The data were treated by the software Statistical Package for the Social Sciences version 22.0 at a significance level of 5%. Results The prevalence of poor sleep quality or sleep disorder according to the Pittsburgh Sleep Quality Index was 40.7%, and females had higher mean global Pittsburgh Sleep Quality Index score. Metabolic syndrome prevalence was 63.0%. Females also had higher daytime dysfunction. Poor sleep quality was associated with high diastolic blood pressure (OR=2.6; p =0.015) and waist circumference (OR=3.17; p =0.024) after adjusting for sex and age. Conclusion Girls had higher global Pittsburgh Sleep Quality Index score, which was associated with daytime dysfunction. Poor sleep quality was a predictor of high diastolic blood pressure in the study sample.

scholarly journals Restless Legs Syndrome and Poor Sleep Quality in Obese Children and Adolescents

2018 ◽  
Vol 10 (2) ◽  
pp. 131-138 ◽  
Author(s):  
Rıza Taner Baran ◽  
Müge Atar ◽  
Özgür Pirgon ◽  
Serkan Filiz ◽  
Meral Filiz
Keyword(s):  
Sleep Quality ◽  
Children And Adolescents ◽  
Restless Legs Syndrome ◽  
Poor Sleep ◽  
Obese Children ◽  
Poor Sleep Quality ◽  
Restless Legs

scholarly journals Factors associated with poor sleep quality in women with cancer

2017 ◽  
Vol 25 (0) ◽  
Author(s):  
Thalyta Cristina Mansano-Schlosser ◽  
Maria Filomena Ceolim
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Factors Associated ◽  
Scale Data

ABSTRACT Objectives: to analyze the factors associated with poor sleep quality, its characteristics and components in women with breast cancer prior to surgery for removing the tumor and throughout the follow-up. Method: longitudinal study in a teaching hospital, with a sample of 102 women. The following were used: a questionnaire for sociodemographic and clinical characterization, the Pittsburgh Sleep Quality Index; the Beck Depression Inventory; and the Herth Hope Scale. Data collection covered from prior to the surgery for removal of the tumor (T0) to T1, on average 3.2 months; T2, on average 6.1 months; and T3, on average 12.4 months. Descriptive statistics and the Generalized Estimating Equations model were used. Results: depression and pain contributed to the increase in the score of the Pittsburgh Sleep Quality Index, and hope, to the reduction of the score - independently - throughout follow-up. Sleep disturbances were the component with the highest score throughout follow-up. Conclusion: the presence of depression and pain, prior to the surgery, contributed to the increase in the global score of the Pittsburgh Sleep Quality Index, which indicates worse quality of sleep throughout follow-up; greater hope, in its turn, influenced the reduction of the score of the Pittsburgh Sleep Quality Index.

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 FREQUENCY AND CORRELATES OF POOR SLEEP QUALITY AMONG PATIENTS OF PARKINSON’S DISEASE

2020 ◽  
Vol 70 (6) ◽  
pp. 1640-44
Author(s):  
Syed Sakhawat Kazmi ◽  
Zahid Hassan ◽  
Waseem Alamgir ◽  
Asif Hashmat ◽  
Muhammad Ali Yousaf ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Military Hospital ◽  
Poor Sleep ◽  
Motor Disorder ◽  
Poor Sleep Quality ◽  
Duration Of Illness

Objective: To determine the frequency of poor sleep quality among the patients of Parkinson’s disease (PD) and analyze its relationship with the socio-demographic factors.Study Design: Correlational study. Place and Duration of Study: Pak Emirates Military Hospital Rawalpindi, from Jan 2019 to Jun 2019. Methodology: One hundred and fifty patients of Parkinson’s disease were approached to participate in this study. Pittsburgh sleep quality index (PSQI) was the psychometric tool used to assess the study parameter for the patients. Age, gender, duration of illness, poly pharmacy and tobacco smoking were corelated with presence of poor quality of sleep among the patients of Parkinson’s disease. Results: Out of 150 patients of Parkinson’s disease screened through Pittsburgh sleep quality index, 85 (56.7%)showed the presence of poor sleep quality while 65 (43.3%) had good sleep quality. Mean age of the patients was 66.2 ± 4.648 years. After applying the logistic regression, we found that increasing age and longer duration of illness had significant association with the presence of poor sleep quality among the patients of Parkinson disease. Conclusion: Previously considered a pure motor disorder, Parkinsonism has a lot of other neuro-psychiatricmanifestations as well. Poor sleep quality turned out to be one of these non-motor problems associated with this chronic debilitating illness. Increasing age and longer duration of illness among these patients emerged asindependent risk factors for poor sleep quality in Parkinsonism.

scholarly journals The impact of COVID-19 pandemic in the quality of sleep by Pittsburgh Sleep Quality Index: A systematic review

2021 ◽  
Vol 26 (4) ◽  
pp. 1457-1466
Author(s):  
Luiz Felipe Ferreira de Souza ◽  
Laisa Liane Paineiras-Domingos ◽  
Maria Eduarda de Souza Melo-Oliveira ◽  
Juliana Pessanha-Freitas ◽  
Eloá Moreira-Marconi ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Health Professionals ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Eligibility Criteria ◽  
Different Populations ◽  
The Impact

Abstract This article aims to evaluate the sleep quality in individuals during the COVID-19 pandemic by Pittsburgh Sleep Quality Index (PSQI). Searches were conducted in the PubMed, Embase, Web of Science, and PEDro databases, on May 22, 2020. In the publications, 208 articles were found and, considering the eligibility criteria, 10 articles were included at the end, showing the effects on sleep quality during the pandemic, in populations hospitalized, quarantined, and in frontline health professionals. The PSQI measured sleep disorders and a higher score indicated poor sleep quality. Nine articles were classified with evidence level IV and one as level III-2. Eight studies present a “serious” risk of bias and two in “moderate”. The studies investigated different populations and described the results as “poor” sleep quality, considering the PSQI on quarantined individuals and frontline health professionals as the most committed. A poor sleep quality was found in the populations evaluated in the selected publications, probably, due to the COVID-19 to contribute as a risk factor for mental health. Psychological interventions must be made to minimize the consequences through social support and social capital.

The relationship between sleep quality and fibromyalgia symptoms

2018 ◽  
Vol 25 (9) ◽  
pp. 1176-1186 ◽  
Author(s):  
Alexandro Andrade ◽  
Guilherme Torres Vilarino ◽  
Sofia Mendes Sieczkowska ◽  
Danilo Reis Coimbra ◽  
Guilherme Guimarães Bevilacqua ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Memory Failure ◽  
D 74 ◽  
The Relationship

This study investigated the relationship between sleep quality and fibromyalgia symptoms in 326 patients. The Pittsburgh Sleep Quality Index was used to assess the presence of sleep disorders. Multivariate analysis of variance was performed to determine the influence of fibromyalgia symptoms on sleep quality. The prevalence of sleep disorders was 92.9 percent. Patients reported generalized pain (88.3%), memory failure (78.5%), moodiness (59%), excessive anxiety (77.5%), and concentration difficulties (69.1%). Patients with more symptoms reported poor sleep quality ( p < .05; d = .74), and the total Pittsburgh Sleep Quality Index score correlated with the number of symptoms ( p < .01). Sleep quality has an important association with fibromyalgia symptoms.

scholarly journals The relationship between fatigability and sleep quality in people with multiple sclerosis

2016 ◽  
Vol 2 ◽  
pp. 205521731668277 ◽  
Author(s):  
Mayis Aldughmi ◽  
Jessie Huisinga ◽  
Sharon G Lynch ◽  
Catherine F Siengsukon
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Performance Test ◽  
Pittsburgh Sleep Quality Index ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Background Perceived fatigue and fatigability are constructs of multiple sclerosis (MS)-related fatigue. Sleep disturbances lead to poor sleep quality, which has been found to be associated with perceived fatigue in people with MS (PwMS). However, the relationship between fatigability and sleep quality is unknown. Objective To explore the relationship between physical and cognitive fatigability with self-reported and objective measures of sleep quality in PwMS. Methods Fifty-one ambulatory PwMS participated in the study. Physical fatigability was measured by percent-change in meters walked on the six-minute walk test (6MWT) and in force exerted on a repeated maximal hand grip test. Cognitive fatigability was measured using response speed variability on the continuous performance test. Self-report sleep quality was measured using the Pittsburgh Sleep Quality Index, and objective sleep quality was measured using 1 week of actigraphy. Results Components of the Pittsburgh Sleep Quality Index and several actigraph parameters were significantly associated with physical fatigability and cognitive fatigability. However, controlling for depression eliminated the association between the sleep outcomes and cognitive fatigability and attenuated the association between the sleep outcomes and physical fatigability. Conclusion Poor sleep quality is related to fatigability in MS but depression appears to mediate these relationships.

scholarly journals Sleep Quality in Semi-Professional Male Basketball Players in Bermuda

2021 ◽  
Author(s):  
Sharmella Roopchand-Martin
Keyword(s):  
Sleep Quality ◽  
Epworth Sleepiness Scale ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Basketball Players ◽  
Ethical Approval ◽  
The Mean

Objectives: This study sought to determine the quality of sleep using the Pittsburgh Sleep Quality Index (PSQI), the presence of sleepiness using the Epworth Sleepiness Scale (ESS) and the association between sleep quality and sleepiness in basketball players in Bermuda. Methods: Once ethical approval was granted, players were recruited from the Bermuda Basketball Association League. All participants completed the PSQI and the ESS questionnaires based on their recollection of events as they occurred over the previous 30 days. Their responses were analysed using the IBM SPSS version 19 for Windows. Results: A total of 71 subjects, mean age 24.96 ± 3.19 years, participated in this study. The mean PSQI score was 7.8 ± 4.7 (scores of 5 or more indicate poor sleep quality). Thirty percent of players rated their sleep quality as fairly bad to very bad. The mean sleepiness score was 7.35 ± 4.17 and over 60% of persons surveyed had more than normal levels of sleepiness. There was a significant correlation between sleep quality and sleepiness; 0.61 (p < 0.01), as well as a correlation between age and Global PSQI which had a score of 0.31 (p < 0.01). Conclusion: Basketball players in Bermuda are experiencing less than optimal sleep. Insomnia was among the most popular self-reported cause of sleep disturbances. Further research is required in this population, exploring causal factors for poor sleep quality. Key words: Athletes, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Sleep Quality.

scholarly journals The effect of orthodontic treatment with fixed appliances on sleep quality in adults and adolescents in Saudi Arabia using Pittsburgh sleep quality index

2022 ◽  
Vol 11 ◽  
pp. 266-269
Author(s):  
Omar Hamad Alkadhi ◽  
Ali A. Alomran ◽  
Nawaf S. Alrafee ◽  
Faisal A. Alaresh ◽  
Marzouq S. Alqahtani ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Orthodontic Treatment ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Eligibility Criteria ◽  
Subjective Sleep Quality ◽  
Fixed Appliances ◽  
Males And Females

Objectives: The aim of this study was to investigate the effect of pain caused by orthodontic fixed appliances on sleep quality of participants using the Pittsburgh Sleep Quality Index (PSQI). Materials and Methods: A previously validated Arabic version of PSQI was electronically distributed through different social media platforms and in waiting areas of orthodontic offices. Eligibility criteria included healthy adults and adolescents with orthodontic fixed appliances and with no systemic conditions that may affect sleep. The cut-off point used to determine poor sleep quality was (>5). Results: Three hundred and eighteen participants were included in the final analysis (28.9% males and 71.1% females). Both males and females with orthodontic fixed appliances had poor sleep quality with (Mean = 6.48, SD = 2.85, P = 0.000) for males, and (Mean = 7.18, SD = 2.87, P = 0.000) for females. Comparing males and females, we found that females scored higher than males in both subjective sleep quality and PSQI global score. Conclusion: Individuals undergoing orthodontic treatment with fixed appliances have poor sleep quality. Females undergoing orthodontic treatment tend to have poorer sleep quality compared to males.

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