Pittsburgh Sleep Quality Index Questionnaire Research Articles

Differences in the quality of life of epileptic patients with and without sleep disturbance

ObjectiveTo compare differences in quality of life in epilepsy patients with and without sleep disorders. MethodsAn analytic comparative observational method with a cross-sectional study was conducted to patients that have been diagnosed with epilepsy for at least one year. The sample was derived using a consecutive sampling method with inclusion criteria at the RSUP Dr. Wahidin Sudiohusodo, collaborative hospital, and private practice in April–May 2019. Independent variable: quality of sleep assessed by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Dependent variable: insomnia assessed by Insomnia Severity Index (ISI) and quality of life assessed by Quality of Life in Epilepsy-31 (QOLIE-31). Statistical analysis was conducted using the unpaired t-test, Mann–Whitney test, and Chi-square test. ResultsSixty-eight subjects met the inclusion criteria; 35 subjects with good sleep quality and 33 subjects with poor sleep quality, consist of 5 subjects with no clinically significant insomnia, 16 subthreshold insomnia, nine moderate insomnia, and three severe insomnia. The results showed a significant difference between 2 groups (p=0.018). A significant difference (p=<0.01) can be seen in the component of overall quality of life, emotional well-being, energy/fatigue, and social function. While in seizure worry (p=0.256), cognitive (p=0.261) and medication effects (p=0.897) the differences were not statistically significant. ConclusionThere are differences in the quality of life of epileptic patients with and without sleep disturbance. Epileptic patients with sleep disturbance have a poorer quality of life compared to epileptic patients without sleep disturbance.

Soaking Feet Hydrotherapy Using Warm Water to Improve Quality of Sleeping Among Pregnant Women

Sleep is a basic need that must be fulfilled by humans. Sleep disorders often occur in pregnant women which has an impact on the quality of sleep. This study aims to identify the effect of soaking feet with warm water on the quality of sleep for pregnant women. This study used a quasi-experiment design with a nonequivalent control group design approach. The sampling technique used total sampling with 40 respondents who were in accordance with the eligible criteria. Interventions are given for 7 consecutive days. Measurement of sleep quality score using the Pittsburgh Sleep Quality Index questionnaire. The difference in sleep quality scores was analyzed by Mann Whitney test, and scores of each component were analyzed by using Wilcoxon test.The results of this study indicate the influence of soaking feet with warm water on sleep quality of respondents before and after the intervention (p = 0.007; α = 5%). From these results, it can be said that there was an increase in quality of sleep after soaking the feet with warm water. Hydrotherapy by soaking feet with warm water can be applied by pregnant women to improve sleep quality.

Sleep disorders as a possible predisposing attack factor in neuromyelitis optica spectrum disorder (NMOSD): A case-control study

BackgroundSleep disturbances are common in neuromyelitis optica spectrum disorder (NMOSD) and have a great impact on patients’ quality of life. According to a report, there is a 64% prevalence of poor sleep quality in NMOSD patients. Therefore, this study was done to evaluate the effect of sleep disturbances on NMOSD acute exacerbations. Materials and MethodsThis case-control study was conducted at Sina Hospital in 2019. A total of 60 patients with NMOSD diagnosis were enrolled in the study (30 patients were in the remission phase while 30 patients were hospitalized due to acute attacks). Sleep disorders were evaluated in both groups. Sleep quality was assessed during the last month using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Data were analyzed by SPSS software version 21. ResultsAmong 60 patients who were evaluated in both the control and attack groups, 86.7% were female. The duration of the disease was 68.23 ± 42.89 months in the control group and 69.83 ± 6.90 in the attack group. The mean age of patients was 34.15 years old. Sleep quality was unfavorable in 30% and 56% of patients in control and attack groups, respectively. There were significant differences between the two groups in sleep latency, habitual sleep efficiency, sleep duration, and sleep disturbance. ConclusionThe present study revealed that there was a significant difference in sleep quality between controls and attack patients and could show a direct relationship between sleep disorders and NMOSD attacks.

COVID-19 pandemic impact on sleep habits, chronotype, and health-related quality of life among high school students: a longitudinal study.

The COVID-19 pandemic has challenged the population of affected areas in multiple dimensions. Adolescents have been especially affected with school closure and home confinement. The impact of the pandemic on sleep habits and quality of sleep and quality of life among adolescents has not been adequately characterized. We hypothesized that the COVID-19 pandemic has induced an evening shift of the daily rhythm among adolescents and adversely affected sleep quality and quality of life of high school students. Students were questioned about their usual bed and wake-up times and answered the Pittsburgh Sleep Quality Index Questionnaire, the Epworth Sleepiness Scale, the Horne-Osteberg Morningness-Eveningness Questionnaire, and the World Health Organization Quality of Life Questionnaire-abbreviated version before and during the pandemic. Ninety-four students (64% females, aged 15 ± 1 years) participated in both phases of the study. Students delayed bed and wake-up times by 1.5 (0.5-2.0) and 2.0 (1.5-2.5) hours, respectively. Chronotype (per the Morningness-Eveningness Questionnaire) shifted toward eveningness during the pandemic. Sleep duration increased and quality of sleep (per the Pittsburgh Sleep Quality Index) improved only among those students with shorter sleep duration before the pandemic. During the pandemic, the physical and psychological domains of the World Health Organization Quality of Life Questionnaire worsened but the environmental domain improved as compared with the study before the pandemic. High school students have delayed bed and wake-up times and shifted chronotype toward eveningness during the COVID-19 pandemic. The worsening of the physical and psychological World Health Organization Quality of Life Questionnaire domains and improvement in the environmental domain highlight the conflicting experiences that high school students are facing during the COVID-19 pandemic.

The Quality of Sleep and Quality of Life in Patients with Alopecia

Background and Objective: Alopecia is one of the most common skin disorders that can affect the quality of life (QOL) in patients. Since few studies have simultaneously evaluated the QOL and quality of sleep in patients with alopecia, this study aimed to evaluate these two important factors in patients with different types of hair loss and among demographic variables.&#x0D; Materials and Methods: Using a convenience sampling method, this cross-sectional study was performed on all patients with various types of alopecia referring to the Dermatology Clinic of Rasoul-e-Akram Hospital, Tehran, Iran, in 2016. For data collection, Dermatology Life Quality Index (DLQI), Short Form Health Survey (SF-36), and Pittsburgh Sleep Quality Index (PSQI) questionnaires were used.&#x0D; Results: A total of 70 patients with four types of hair loss, including androgenic alopecia, alopecia areata, telogen effluvium, and discoid lupus erythematosus (DLE) were evaluated. The overall sleep quality score was 5.51 ± 2.93, which was not significantly different in all four patient groups (P &gt; 0.05). The overall DLQI score was 4.40 ± 4.30, which had little effect on the QOL in most patients with alopecia (40.6%). The overall QOL and quality of sleep scores were not significantly correlated with such demographic variables as age, gender, marital status, education, and employment (P &gt; 0.05). The SF-36 questionnaire and DLQI had a significant inverse relationship (r = -0.285, P = 0.026).&#x0D; Conclusion: Our study showed that the quality of sleep and QOL were affected in all four types of patients with alopecia. As a result, attention to quality of sleep and QOL in these patients with any demographic characteristics is important. However, more studies are needed to confirm the results.

Functional MRI Correlates of Sleep Quality in HIV.

ObjectiveTo examine resting-state functional MRI (rs-fMRI) networks related to sleep in the context of HIV infection.Methodsrs-fMRI data were collected in 40 HIV-infected (HIV+) individuals at baseline (treatment-naive), 12 week (post-treatment) and one year timepoints. A group of 50 age-matched HIV-negative (HIV-) individuals were also imaged at baseline and one year timepoints. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was administered at all timepoints. Using group independent component analysis (ICA), maps of functional networks were generated from fMRI data; from these, sleep-related networks were selected. A generalized linear model (GLM) was used to analyze if these networks were significantly associated with the PSQI score, and if this relationship was influenced by HIV status/treatment or timepoint.ResultsHIV+ individuals had significantly lower PSQI score after treatment (p=0.022). Networks extracted from group ICA analysis included the anterior and posterior default mode network (DMN), central executive network (CEN), bilateral frontoparietal networks (FPNs), and the anterior cingulate cortex salience network (ACC SN). We found the posterior DMN, right FPN, and ACC SN GLMs showed significantly higher goodness-of-fit after incorporating PSQI data (p = 0.0204, 0.044, 0.044, respectively). Furthermore, the correlation between ACC SN and posterior DMN connectivity was significantly decreased in the HIV+ cohort.ConclusionFunctional networks such as the DMN, FPN, CEN, and ACC SN are altered in poor sleep, as measured by the PSQI score. Furthermore, the relationship between these networks and PSQI is different in the HIV+ and HIV- populations.

Prevalence of sleep disturbance and anxiety due to the COVID-19 pandemic in Saudi Arabia.

IntroductionIn the COVID-19 pandemic, physical and psychological health are of immense concern for the governing bodies and health policymakers in the period of lockdown and self-isolation. An in-depth analysis is required to recognize the changes in mental health among the public of different geographical areas.ObjectiveThe study aimed to investigate the sleep quality and anxiety among the population in Saudi Arabia during the lockdown period from March to June 2020.Material and MethodsWe conducted a cross-sectional study and surveyed the population in Saudi Arabia during the lockdown. We analyzed the anxiety and sleep quality in a population with variable socio-demographic profiles. We assessed anxiety using the self-rating anxiety scale (SAS) questionnaire and tested the sleep quality by using the Pittsburgh sleep quality index (PSQI) questionnaire. We analysed the questionnaire responses to determine the relationships between anxiety, stress, sleep disturbances by using SPSS, and considered the p-value<0.05 statistically significant.ResultsWe collected 397 questionnaires from the participants. The respondents were mostly of youth age (19-24 years), 66.5% of respondents were male, while there were 33.5% females. Most of the participants did not contact any COVID-19 patients (75.1%, n=298). The finding revealed that most people did not consider associated anxiety as a worrying disorder as the vast majority were normal with only 12.6% had mild-to-moderate anxiety and almost 1% had moderate-to-severe anxiety. While correlating the sleep patterns disturbance in individuals who had contact with COVID-19 patients, there was a significant sleep disturbance. The disturbance of sleep was in having problems falling sleep (p-value=0.024), having bad/horrible dreams (p-value=0.017), feeling cold at sleeping (p-value=0.038), and difficulty staying active during eating or driving (p-value=0.012). There was a significant correlation with anxiety related to the COVID-19 contact and problems affecting the routine work (p-value=0.001).ConclusionThere is a significant correlation with anxiety related to the contact with COVID-19 positive patients and problems affecting the routine work among operational professionals. The sleep quality is poor due to the stay-at-home order, having a disorganized working schedule, and deprived lifestyle. The awareness regarding the publics’ mental health related to the pandemic needs to be implemented and psychological guidelines ought to be available for the public. Health measures through the promotion of lifestyle modifications, mindful body practices, meditation, and home exercise can reduce stress and improve the quality of sleep.

Association of BST1 polymorphism with idiopathic restless legs syndrome in Chinese population.

Parkinson's disease (PD) and restless legs syndrome/Willis-Ekbom disease (RLS/WED) are both common movement disorders. Based on their clinical overlap, association studies of PD and RLS/WED have been conducted for many years. To investigate whether or not the genetic risk factor of PD was also associated with RLS/WED. We included 102 idiopathic RLS/WED patients and 189 matched controls from southeast China. The clinical data included the International Restless Legs Syndrome Study Group Rating Scale, the subtypes of RLS/WED symptoms (painful or other discomfort), the comorbidities, the pregnancy history of female patients, the Hamilton Depression Scale (HAMD), and the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Risk gene analysis between RLS/WED and control groups including 21 SNPs (single nucleotide polymorphisms) was conducted. Genotyping was done by Sanger sequencing. We found that rs4273468 polymorphism of BST1 gene increased the risk of idiopathic RLS/WED patients in southeastern Chinese population (P = <0.001, OR = 2.85, p = 0.019 after Bonferroni correction). Moreover, the haplotype of G-G (rs4698412-rs4273468) was significantly associated with Chinese RLS/WED patients (p = <0.001). BST1 may contribute to the development of RLS/WED. Further studies on larger cohorts are needed to confirm these findings.

Better Quality of Sleep among Adolescents by Considering the Intensity of Social Media Utilization

The basic human needs, such as sleep quality, often take for granted that low sleep quality among adolescents could affect various health problems. One of the factors correlated with sleep quality in adolescents is the use of social media. This study aimed to identify the association between social media utilization and sleep quality among adolescents. The study used a descriptive correlation with a cross-sectional design. The Social Networking Time Use Scale and Pittsburgh Sleep Quality Index questionnaires were used based upon validity and reliability test. A Cross-sectional study was used with a convenience sampling frame by recruiting 188 adolescents. The analysis technique used was Chi-Square. The results showed that respondents with a high intensity of social media users who have good sleep quality were 29 (15, 4%) respondents, and those who have low sleep quality were 66 (35.1%) respondents. It revealed a significant association between the intensity of social media use and sleep quality in adolescents (X2 = 27,564a, df = 1, p&lt; 0,05). It suggests that adolescents should reduce the intensity of social media use to improve their sleep quality.

Gender Differences in the Relationship Between Exercise, Sleep, and Mood in Young Adults.

Insufficient sleep is a serious public health problem in college students. Exercise is a widely prescribed behavioral treatment for sleep and mood issues; however, more focused and gender-specific prescriptions are needed. The present study examined relationships between exercise, sleep, and mood in undergraduate men and women. Students (N = 866, 19.6 ± 1.4 years, 38.7% women) were recruited from campus recreation facilities and completed demographic, the Pittsburgh Sleep Quality Index, mood (Patient-Reported Outcomes Measurement Information System), and exercise questionnaires. The Department of Health and Human Services Physical Activity Guidelines were used to dichotomize those who did and did not meet weekly aerobic and strength training exercise recommendations. In men, greater exercise frequency associated with less daytime dysfunction (β = 0.147) and less depressive mood (β = -0.64, ps < .05). In women, greater exercise frequency associated with earlier bedtime (β = -12.6), improved sleep quality (β = 0.17), increased positive affect (β = 0.91), less depressive mood (β = -0.71), and less anger (β = -1.24, ps < .05). Compared to men, women reported earlier bedtime, poorer sleep efficiency, and more anxiety and depressive mood (ps < .05, range: 0.01-0.04). Compared to individuals who met physical activity guidelines, those who did not meet the guidelines reported later bedtimes, less positive affect, more anxiety, and more anger (ps < .05 s = 0.01). Among men, those who met physical activity guidelines reported falling asleep more quickly than those who did not meet guidelines ( = 0.01, p = .007); however, no relationship between guideline adherence and sleep latency was observed in women. Adhering to physical activity guidelines may be important for optimal sleep and emotional health. Clinicians should consider gender when creating exercise prescriptions for sleep issues.

Effect of Short-Term Practice of Bhramari Pranayama on Sleep Quality and Perceived Stress in School Students

Background: In today’s highly-competitive era of modern education, students are constantly exposedto ‘high’ academic stress. Stress, in turn, affects sleep quality. Deterioration in sleep quality adverselyaffects overall health. Yogic breathing exercise i.e., ‘Pranayama’ practice is an easy yet effective way tomaintain sound physical and mental health. Traditional yogic literatures particularly recommend ‘Bhramari’Pranayama (the ‘Humming Bee’ breath) for effectively reducing stress and improving quality of sleep. Dueto lack of specific scientific evidence to support these benefits from Bhramari Pranayama, this study wasundertaken to evaluate the effect of Bhramari Pranayama practice on sleep quality and perceived stress inschool students.Objectives: To evaluate the effect of short-term (6 weeks) practice of Bhramari Pranayama on Sleep Qualityand Perceived Stress in school students.Methodology: After obtaining Ethical clearance, 60 school students of class X were randomly selected forthe study. Assent from participants and written informed consent from their parents were obtained. Afterhistory-taking and general physical examination, ‘baseline’ data including assessment of Sleep quality andPerceived stress were obtained using the PSQI (Pittsburgh Sleep Quality Index) and PSS (Perceived StressScale) questionnaires respectively. Thereafter, Bhramari Pranayama was practiced by the students for 6weeks. Finally, at the end of 6 weeks sleep quality and perceived stress were re-assessed using the abovequestionnaires. Pre- and post- Bhramari pranayama data were compared and analysed using descriptivestatistics and Student’s t-test; p-value &lt;0.05 was considered as statistically significant.Results: Post Bhramari Pranayama practice, there was significant improvement in Sleep quality &amp; asignificant reduction in Perceived stress (p-value&lt;0.05).Conclusion: Hence, just a few weeks practice of Bhramari Pranayama significantly improves sleep qualityand reduces perceived stress.

Prevalence of Poor Sleep Quality Among Physicians During the COVID-19 Pandemic.

Background: Sleep quality is influenced adversely or favorably by various intrinsic and extrinsic factors and sleep deprivation is a common problem facing doctors.Objectives: To assess sleep quality among physicians during coronavirus disease 2019 (COVID-19) pandemic and correlate it with possible predictors.Methods: This cross-sectional four-months study included a total of 344 physicians from different medical centers in the period between July 2020 and October 2020, during the COVID-19 pandemic. Physicians were aged between 24 and 60 years from different specialties. Data were collected using the Pittsburgh Sleep Quality Index (PSQI) questionnaire and Hospital Anxiety Depression Scale (HADS).Results: Among our participant physicians there was poor sleep quality in 71.2%, while good sleep quality was present in 28.8%. There were significant correlations between poor sleep quality and the following parameters in the univariate logistic regression analysis: anxiety features (P value <0.001), depressive features (P value <0.001), and past history of COVID-19 (P value 0.003). However, multivariate logistic regression analysis showed that only the presence of anxiety features (P value <0.001) and depressive features (P value <0.001) could be used as significant independent predictor of poor sleep quality among physicians during COVID-19.Conclusion: Presence of anxiety and or depressive features among physicians are the most significant independent predictors of poor sleep quality during the COVID-19 pandemic.

Epidemiology of Sleep Disturbances Among Primary School Students in Kerman, Iran, in 2019

ABSTRACT Primary sleep disturbances are common in both children and adults and can lead to cognitive problems and educational and psychological disorders. In this study, we evaluated the epidemiology of sleep disturbances among children in Kerman, Iran, in 2019. This cross-sectional study was done in 2019 with 561 children in elementary schools of Kerman, Iran. Data were collected by a Pittsburgh Sleep Quality Index (PSQI) questionnaire that was filled out by parents and analyzed statistically. A total of 561children with a mean age of 9.54 ± 1.55 years were enrolled. The ratio of boys to girls was 1.01 and consistent across age groups. The prevalence of sleep disturbances in this population study was 26.7% (150 patients); 51.3% of them were girls. Sleep disturbances were associated with mothers’ lower education level and parents’ higher job positions (P < .05). This study showed the relatively high prevalence of sleep disturbances among children in this region. It can be reduced by a program such as sleep training or by promoting the level of parents’ education. We recommend some educational programs and preschool screening to evaluate sleep disturbances and educating the parents to increase their responsiveness.

Sleep quality and social support in people over 65 years old who have had a quarantine process due to covid-19

Aim: We aimed to investigate the effects of anxiety or social support on sleep quality in patients with COVID-19 who were older than 65 years of age and undergoing quarantine process. &#x0D; Material and Method: The study included the patients ≥65 years of age who had a quarantine process for 14 days during the COVID-19 outbreak. The sociodemographic features and comorbidities were recorded in all patients. Geriatric Anxiety Scale (GAS), Multidimensional Perceived Social Support Scale (SS), and Pittsburgh Sleep Quality Index (PSQI) questionnaires were applied.&#x0D; Results: Totally 198 patients (123 male and 75 female) were included in the study. Among patients, 115 (58.1%) patients were living in a nursing home. All GAS scores and the total PSQI were significantly higher and all SS scores were significantly lower in PCR positive patients compared with the negative ones (p:0.001). Moreover, All GAS scores and the total PSQI were significantly higher and all SS scores were significantly lower in patients living in nursing homes compared with the others (p:0.001). &#x0D; Conclusion: In elderly patients faced with the COVID-19, social support was negatively associated with the sleep disturbances. We suggest that, increasing social support is important in elderly patients in the clash against COVID-19.

Sleep and Tau Pathology in Vietnam War Veterans with Preclinical and Prodromal Alzheimer's Disease.

Background:The increasing prevalence of Alzheimer’s disease (AD) and lack of effective medications has led to a need to identify modifiable risk factors as targets for interventions.Objective:In this cross-sectional study, we sought to determine whether worse sleep quality is associated with increased pathological tau, and whether this relationship is affected by amyloid pathology.Methods:66 male participants underwent Florbetapir (AV45) positron emission tomography (PET) and Flortaucipir (FTP) PET and completed the Pittsburgh Sleep Quality Index questionnaire (PSQI) as part of the Department of Defense Alzheimer’s Disease Neuroimaging Initiative, a multicenter study collecting data from Vietnam War veterans, some of whom have a history of post-traumatic stress disorder, or non-penetrating traumatic brain injury. AV45 PET was used to determine the presence of significant amyloid pathology. We used regression models to determine the effects of amyloid pathology and PSQI on tau deposition in brain regions associated with Braak stages.Results:Among the 66 participants, 14 individuals were amyloid positive (21%) and 52 were amyloid negative (79%). In regions associated with Braak stages III-IV, there was a significant interaction of amyloid status on PSQI (β= 0.04, p = 0.003) with higher PSQI correlating with higher FTP SUVr in amyloid-positive individuals only (β= 0.031, p = 0.005).Conclusion:Our study found that an AD profile of tau deposition was associated with an interaction between self-reported sleep quality and amyloid pathology such that worse self-reported sleep was related to higher tau in regions usually associated with AD progression, but only in individuals with high cerebral amyloid deposition.

The complexity of sleep disorders in dialysis patients.

BackgroundDialysis patients experience a high burden of physical and emotional symptoms directly affecting their sleep and quality of life. In this study, objective and subjective measurements to quantify sleep were performed, compared with those of healthy controls, and associated with burden of comorbidity and uraemic toxicity. MethodsA total of 64 dialysis patients were included—10 peritoneal dialysis, 42 in-centre daytime haemodialysis (HD) and 12 in-centre nocturnal HD patients—as well as one-to-one age- and gender-matched healthy controls. Assumed and actual sleep time, sleep efficiency and fragmentation index were measured by actigraphy for at least two consecutive nights. Patients and controls also completed Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI) questionnaires. The patients’ blood was sampled to determine concentrations of a representative series of uraemic toxins and the Davies–Stoke comorbidity index was derived from medical records.ResultsApart from the assumed sleep time, all objectively and subjectively measured sleep parameters were worse in the dialysis group compared with the healthy controls. No differences were seen in any of the measured sleep parameters among the different dialysis groups. None of the objectively measured sleep parameters were associated with ISI or PSQI scores in dialysis patients, while sleep times were related to the subjective scores in the healthy cohort. Objectively assessed sleep parameters were associated to neither the uraemic toxicity load nor the Davies–Stoke score.ConclusionsIndependent of the modality, dialysis patients have sleep quality much worse than age- and gender-matched healthy controls. The objectively measured sleep parameters could not be associated to the subjective score, uraemic toxicity or comorbidity score, highlighting the need for objective measurements of sleep and clinical guidelines to aid patient management.

Qualidade do sono em pacientes pós-cirurgia cardíaca com diferentes índices de massa corporal

INTRODUÇÃO: Evidências mostram que existe correlação positiva entre o Índice de Massa Corpórea (IMC) e a qualidade do sono. A avaliação de como o IMC pode influenciar a qualidade do sono de pacientes no pós-operatório, pode ser útil para tomada de decisão relacionada ao tratamento fisioterapêutico. OBJETIVO: Comparar a qualidade do sono em pacientes pós-cirurgia cardíaca em diferentes IMC. MÉTODOS: Trata-se de um estudo transversal. Pacientes de ambos os sexos, com idade superior a 18 anos e submetidos a revascularização do miocárdio via esternotomia mediana e circulação extracorpórea foram incluídos. O Questionário do Índice de Qualidade do Sono de Pittsburgh, que mede a qualidade retrospectiva do sono, foi aplicado, na alta da Unidade de Terapia Intensiva (UTI), em pacientes de ambos os sexos agrupados por IMC em grupos eutrófico, sobrepeso e obesidade para investigar as alterações no comportamento do sono pós-cirurgia cardíaca desses grupos. Pontuações de 0-4 indicam boa qualidade do sono e de 5-10 indicam qualidade ruim. Os dados foram expressos em média e desvio padrão. Para comparação entre os grupos o teste de ANOVA foi usado. Foi considerado como significativo um p&lt;0,05. RESULTADOS: O estudo foi composto por 120 pacientes, com uma predominância do sexo masculino num total de 79 (65,83%) pacientes e idade em torno de 60,22 ± 1,34 anos. As pontuações das variáveis desse questionário como Duração do sono (Grupo eutrófico:0, sobrepeso:0, obesidade:2, p=0,02), Distúrbio do sono (Grupo eutrófico:1, sobrepeso:1, obesidade:2, p=0,01) e Disfunção diurna (Grupo eutrófico:1, sobrepeso:1, obesidade:2, p=0,04) foram estatisticamente significativos. Comparando a pontuação geral entre os grupos eutrófico:2, sobrepeso:5 e obesidade:10 identificou-se que a qualidade do sono tende a piorar à medida que o IMC aumenta. CONCLUSÃO: Os pacientes que apresentavam um IMC maior como do grupo obesidade apresentaram pior qualidade do sono, enquanto os pacientes do grupo eutrófico possuíram melhor qualidade do sono.

The correlation between sleep quality and performance in football athlete

Athletes are at risk of overtraining. Therefore, athletes need to build a strategy to get a better condition after training. If optimum recovery is achieved by good sleep, athletes can be engaged in other physical activities or increase the load of exercise in the upcoming days. Thus, we assumed that sleep quality is related to the performance of football athlete. To investigate if there is correlation between sleep quality and performance in football athletes, we undertook a cross-sectional analysis of 100 male football athletes. Sleep quality was assessed by Pittsburgh Sleep Quality Index questionnaire, and athlete’s performance was quantified by oxygen uptake capacity (VO2max) measurement by bleep test, while resting heart rate and blood pressure were measured with digital sphygmomanometer. There was significant correlation between sleep quality and all performance indicators including resting heart rate, systolic blood pressure, diastolic blood pressure, and VO2max (p < 0.001). In Pearson correlation, we found that sleep quality affects 14% of resting heart rate (r = 0.384) (p < 0.001), 17% of systolic pressure (r = 0.421) (p < 0.001), 21% of diastolic pressure (r = 4.69) (p < 0.001), and 16% of VO2max score (r = − 0.412) (p < 0.001). By Gamma correlation, we found that almost all of the participants with good sleep quality have normal resting heart rate, normal blood pressure, and either superior or excellent VO2max score (rheart rate = 0.768) (p = 0.002), (rsystolic = 0.773) (p < 0.001), (rdiastolic = 1.00) (p < 0.001), (rVO2max = 0.68) (p < 0.001). There was correlation between sleep quality and performance of football athlete.

The effect of daily fast food consumption, family size, weight-caused stress, and sleep quality on eating disorder risk in teenagers.

Eating disorder (ED) is a common complication with disturbance of eating or eating-related behaviors that lead to physical and psychosocial disorders. The purpose of this study was to evaluate the association between eating disorders and daily fast food consumption, family size, weight-caused stress, and sleep quality in teenagers in Zanjan, Iran. Adolescent girl students aged 12-15years (n = 370), selected in a cross-sectional study, completed the Eating Attitude Test-26 and Pittsburgh Sleep Quality Index questionnaires. The cluster random sampling method was used. Statistical analysis was performed using R software version 3.6.3. Logistic regression modeling was used for investigating the relationship between factors and odds of EDs. A p value of less than 0.05 was considered significant. A significant relationship was found between family size (OR = 0.77, p = 0.049), fast food-daily consumption (OR = 5.42, p = 0.043), weight-caused stress (OR = 12.47, p < 0.001), and poor sleep quality (OR = 1.70, p = 0.024) and odds of eating disorder among teenage girls. A significant positive association was found between a low number of family members, daily fast food consumption, stress status, poor sleep quality and odds of EDs. However more longitudinal studies are required to confirm the results.

Quality of sleep and associated factors among people living with HIV/AIDS on follow up at Ethiopian Zewditu memorial hospital, 2018

BackgroundSleep 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.MethodsAn 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.ResultsThe 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.ConclusionsMore 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.