scholarly journals Prediction of Diabetic Nephropathy from the Relationship between Fatigue, Sleep and Quality of Life

2020 ◽  
Vol 10 (9) ◽  
pp. 3282
Author(s):  
Angela Shin-Yu Lien ◽  
Yi-Der Jiang ◽  
Jia-Ling Tsai ◽  
Jawl-Shan Hwang ◽  
Wei-Chao Lin
Keyword(s):  
Quality Of Life ◽  
Feature Selection ◽  
Diabetic Nephropathy ◽  
Sleep Quality ◽  
Support Vector ◽  
Svm Classifier ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Fatigue and poor sleep quality are the most common clinical complaints of people with diabetes mellitus (DM). These complaints are early signs of DM and are closely related to diabetic control and the presence of complications, which lead to a decline in the quality of life. Therefore, an accurate measurement of the relationship between fatigue, sleep status, and the complication of DM nephropathy could lead to a specific definition of fatigue and an appropriate medical treatment. This study recruited 307 people with Type 2 diabetes from two medical centers in Northern Taiwan through a questionnaire survey and a retrospective investigation of medical records. In an attempt to identify the related factors and accurately predict diabetic nephropathy, we applied hybrid research methods, integrated biostatistics, and feature selection methods in data mining and machine learning to compare and verify the results. Consequently, the results demonstrated that patients with diabetic nephropathy have a higher fatigue level and Charlson comorbidity index (CCI) score than without neuropathy, the presence of neuropathy leads to poor sleep quality, lower quality of life, and poor metabolism. Furthermore, by considering feature selection in selecting representative features or variables, we achieved consistence results with a support vector machine (SVM) classifier and merely ten representative factors and a prediction accuracy as high as 74% in predicting the presence of diabetic nephropathy.

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 The prevalence of poor sleep quality and its associated factors in patients with interstitial lung disease: a cross-sectional analysis

2019 ◽  
Vol 5 (3) ◽  
pp. 00062-2019 ◽  
Author(s):  
Jin-Gun Cho ◽  
Alan Teoh ◽  
Mary Roberts ◽  
John Wheatley
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Interstitial Lung Disease ◽  
Sleep Quality ◽  
Lung Disease ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Sectional Analysis

BackgroundMany patients with interstitial lung disease (ILD) experience poor sleep quality, which may contribute to decreased quality of life. Sleep disordered breathing is commonly associated with ILD but there is less information on other factors that may contribute to poor sleep quality.MethodsWe conducted a cross-sectional analysis of 101 patients with a diagnosis of ILD at a pulmonary rehabilitation assessment clinic. We assessed the prevalence of poor sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and performed multivariable logistic regression analysis to determine factors independently associated with poor sleep quality.ResultsMedian forced expiratory volume in 1 s was 64% predicted (interquartile range (IQR) 50–77%) and vital capacity was 62% predicted (IQR 48–78%). 67 (66%) out of 101 patients reported poor sleep quality. The median PSQI was 8 units (IQR 4–11 units). There were no significant differences in physical or physiological parameters including age, sex distribution, body mass index or spirometry values between subjects with good sleep quality and those with poor sleep quality (all p>0.1). Multivariable logistic regression showed that depression (p=0.003) and Epworth Sleepiness Scale (p=0.03) were independently associated with poor sleep quality.ConclusionPoor sleep quality is common in patients with ILD and is independently associated with increasing symptoms of depression and sleepiness. Routine assessment of sleep quality should be undertaken and interventions targeting depression and coexisting sleep disorders may be required in symptomatic patients to determine if sleep quality and ultimately, health-related quality of life improves as a result.

Sleep quality and endometriosis: A group comparison study

2020 ◽  
Vol 12 (2) ◽  
pp. 94-100
Author(s):  
Stacey Davie ◽  
Yasu Hamilton ◽  
Lachlan Webb ◽  
Akwasi A Amoako
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Statistical Significance ◽  
Reproductive Age ◽  
Control Group ◽  
Poor Sleep ◽  
Online Questionnaire ◽  
Pain Scores ◽  
The Relationship

Introduction: Endometriosis affects around 10% of women of reproductive age with symptoms of pelvic pain, dysmenorrhoea, dyspareunia, dyschezia, and infertility. Current research highlights a possible relationship between endometriosis and poor sleep quality. The aim of this study was to assess the relationship between sleep quality and endometriosis. Outcomes measured included sleep quality and quality of life and pain score. Methods: Thirty women with a histological diagnosis of endometriosis and 30 control patients completed an online questionnaire that assessed sleep quality (Pittsburgh Sleep Quality Index) and quality of life (WHO-QOL-BREF). Pain scores within the endometriosis group were evaluated using a visual analogue scale. Results: Women with endometriosis had significantly poorer sleep quality (80% vs 50%, p = 0.015) and lower quality of life scores when compared to the control group. Within the endometriosis group, there were trends between poor sleep, a reduced quality of life, and higher pain scores; however, these did not reach statistical significance. Discussion: Sleep quality and quality of life were significantly reduced in women with endometriosis when compared to controls.

scholarly journals Influence of Sleeping Patterns in Health and Academic Performance Among University Students

2020 ◽  
Vol 17 (8) ◽  
pp. 2760
Author(s):  
María Dolores Toscano-Hermoso ◽  
Félix Arbinaga ◽  
Eduardo J. Fernández-Ozcorta ◽  
Juan Gómez-Salgado ◽  
Carlos Ruiz-Frutos
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Ex Post ◽  
Small Effect Size ◽  
The Relationship

Sleep problems in university students are important and have implications for health, quality of life, and academic performance. Using an ex post facto design, a total sample of 855 students (55.7% women) participated in the study. Sleep assessment was conducted using the Pittsburgh Sleep Quality Index, the Nightmare Frequency Scale, the Nightmare Proneness Scale, and the Composite Morningness Scale. Women show a higher risk [OR = 2.61] of presenting poor sleep quality (> 5 points on the PSQI) compared with men (p < 0.001). Similarly, women reported a greater frequency of nightmares (p < 0.001, d = 0.60), greater propensity for nightmares (p < 0.001, d = 0.70) and a higher score on Item-5h of the PSQI regarding nightmares (p < 0.001, d = 0.59). Women, compared with men, show higher risk [OR = 2.84] for a sleep disorder related to nightmares (p = 0.012). Women need more time to reach a state of alertness after getting up (p = 0.022), and there was an interaction between sex and the alertness factor when evaluating the subjective quality of sleep (p = 0.030). Women show worse sleep quality and a higher frequency and propensity for suffering nightmares. When considering the relationship between sleep quality and academic performance, it is observed that students with poor sleep quality obtain lower academic scores (M = 7.21, SD = 0.805) than those with good sleep quality (M = 7.32, SD = 0.685), an effect that reaches significance (t = 2.116, p = 0.035). Regarding the relationship between the categorized chronotype and academic performance, students with a morning chronotype achieve better academic results (M = 7.41, SD = 0.89) than their evening counterparts (M = 7.15, SD = 0.76), although these differences have a small effect size (d = 0.31).

Sleep quality in caregivers of patients with Alzheimer's disease and Parkinson's disease and its relationship to quality of life

2012 ◽  
Vol 24 (11) ◽  
pp. 1827-1835 ◽  
Author(s):  
Chiara Cupidi ◽  
Sabrina Realmuto ◽  
Gianluca Lo Coco ◽  
Antonio Cinturino ◽  
Simona Talamanca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Alzheimer’S Disease ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

ABSTRACTBackground: Knowledge about sleep complaints of caregivers of patients with Alzheimer's disease (AD) and Parkinson's disease (PD) is limited, and we lack information about the relationship between caregivers’ sleep problems and their quality of life (QoL).Methods: We evaluated subjective sleep quality and its relationship to QoL in a group of 80 caregivers of patients with AD (ADCG, n = 40) and PD (PDCG, n = 40), and in 150 controls. Information about night-time complaints was collected using the Pittsburgh Sleep Quality Index (PSQI). QoL was measured using the McGill QoL Questionnaire.Results: Eighteen ADCG (45%), 22 PDCG (55%), and 45 (30%) controls reported poor sleep quality. Mean global PSQI score of PDCG (6.25 ± 3.9) was not significantly different from that of ADCG (5.8 ± 3.5; p = 0.67). However, both PDCG and ADCG scored significantly higher than control group (4.3 ± 3.1; p < 0.01). ADCG frequently reported difficulties falling asleep (72.5%) and disturbed sleep (100%). PDCG reported reduced subjective sleep quality (80%) and increased sleep disturbances (100%). Poor sleep quality was associated with depressive symptoms and correlated with QoL in caregivers of both groups, particularly the psychological symptoms domain.Conclusions: Among caregivers of patients with AD and PD, poor sleep quality is frequent and significantly linked to QoL and depressive symptoms. Identifying the nature of sleep disturbances not only in patients but also in their caregivers is important as appropriate treatment may lead to a better management of the needs of families coping with these patients.

scholarly journals Exploring the relationship of sleep quality with drug use and substance abuse among university students: a cross-cultural study

2020 ◽  
Vol 27 (1) ◽  
Author(s):  
Fahmi Hassan Fadhel
Keyword(s):  
Substance Abuse ◽  
Drug Use ◽  
University Students ◽  
Sleep Quality ◽  
Social Life ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Abstract Background There is a growing interest in studying the area of drugs and college students due to the negative effects that drugs have on a student’s social life, academics, psychology, finances, and health. So, this study aims to identify the relationship between drug/substance abuse and quality of sleep among university students in Yemen and Saudi Arabia. The sample size was 935 (43.21% N = 404 female, 56.79% N = 531 male, 55.40% N = 518 Yemeni, and 44.60% N = 417 Saudi). Students responded to the Drug Abuse Screening Test (DAST-10), the Pittsburgh Sleep Quality Index (PSQI), and the Substance Abuse Questionnaire. Results The results showed a high prevalence of drug use: 43.1% of respondents (27.27% N = 219 Yemenis and 15.83% N = 148 Saudis) abuse drugs, 29.41% were in the low level of drug use, 10.48% were in the moderate level of drug use, 2.46% were in the substantial level of drug, and 0.75% were in the severe level of drug use as per the DAST-10. The differences between both countries in terms of drug use were significant (X2 19.394, P < 0.001). The prevalence rate of inhalants was 16.36% and of sedatives was 12.09%, and the differences between countries were significant. The prevalence of poor sleep quality was 24.81%; a total of 7.91% of respondents had very poor sleep quality, while 16.90% had poor sleep quality. The differences between countries were not significant. The relationship between sleep quality and drug use, smoking, and substance abuse was significant. The quality of sleep decreased consistently with a high level of drug use or substance abuse. Conclusions Poor sleep quality is significantly associated with drug use and substance abuse, and it is important to recognize the factors affecting drug and substance abuse among university students. A significant contribution can make for the protection of university students by guaranteeing that psychological interventions for high-risk groups are planned in advance.

scholarly journals Association of sleep quality with excessive daytime somnolence and quality of life of elderlies of community

2019 ◽  
Vol 13 ◽  
Author(s):  
Glauber Sá Brandão ◽  
Fernanda Warken Rosa Camelier ◽  
Antônia Adonis Callou Sampaio ◽  
Glaudson Sá Brandão ◽  
Anderson Soares Silva ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Epworth Sleepiness Scale ◽  
Functional Mobility ◽  
Abdominal Circumference ◽  
Poor Sleep ◽  
Daytime Somnolence ◽  
Poor Sleep Quality ◽  
Excessive Daytime Somnolence

Background: The progressive increase in the elderly population contributes to the fact that studies on human aging have important attention of health professionals and government agents, since they present a great challenge regarding public health. Our objective is to characterize the profile of older people with poor sleep quality and analyze possible associations with excessive daytime somnolence, quality of life and functional mobility. Methods: This is a cross-sectional descriptive study, involving elderlies of the community, with the questionnaires Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, WHOQOL-OLD and application of the Timed Up and Go test - TUG. Descriptive statistics, Student’s t test for paired samples and Pearson’s correlation coefficient (p ≤ 0.05) were used. Results: We recruited 131 elderly people, predominantly female (87%); mean age 68 ± 7 years, low per capita income (84.8% ≤ 2 minimum wage), low education (86.3% ≤ 3 years of study), and mostly staying with relatives (67.9%), married (39.7%) or amassed (35.9%). Seventy-one percent of the sample is above normal weight, 90.1% of women have an abdominal circumference ≥ 80 cm and a high prevalence of chronic and psychosocial diseases was identified in the self-report, and the risk of obstructive sleep apnea in 38.2%. The mean PSQI, Epworth Sleepiness Scale, WHOQOL-OLD and TUG were equal to, respectively, 11.2 ± 3.2; 8.32 ± 2.2; 84.8 ± 10.2 and 8.97 ± 2. An association of sleep quality with excessive daytime somnolence and quality of life, while not with functional mobility, was observed. Conclusion: The results of the present study allowed to identify a sleep quality associated with excessive daytime somnolence and quality of life and also to characterize the profile of elders with poor sleep quality.

scholarly journals SLEEP QUALITY AND QUALITY OF LIFE AMONG MALAYSIAN PHARMACY UNDERGRADUATE STUDENTS

2021 ◽  
Vol 19 (1) ◽  
pp. 65-75
Author(s):  
NURUL NAJIHAH MOHAMAD HANAPI ◽  
SIEW CHIN ONG ◽  
GUAT SEE OOI ◽  
NUR AIZATI ATHIRAH DAUD
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Physical Functioning ◽  
Short Form ◽  
Well Being ◽  
Pharmacy Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Good Physical Functioning

University students tend to have poor sleeping pattern, especially those who took professional courses. Poor sleep quality may affect one’s mental and physical well- being and quality of life (QoL). Thus, this study aims to determine the sleep quality of pharmacy students, factors associated with it, and their QoL. A cross-sectional study was conducted using questionnaires involving undergraduate pharmacy students in Universiti Sains Malaysia. The Pittsburgh Sleeping Quality Index (PSQI) was used to determine the sleep quality, while QoL was determined using Short Form-36 Survey (SF-36). Poor sleepers were defined as having a PSQI score of ≥ 5. Independent t-test and Chi-square test were used to compare between variables. A total of 256 respondents completed the questionnaires. Majority (n = 215, 84%) of the respondents were poor sleepers. Results showed a nearly 3-fold increase in the risk of being a poor sleeper among those taking more than 20 credit units (odds ratio [OR] 2.73; 95% [confidence interval] CI: 1.38, 5.39). The mean score for QoL in seven domains was 61.5 ± 20.1. Respondents were shown to have good physical functioning (mean: 87.2 ± 18.4) but having a low score in the ‘energy or fatigue’ domain (mean: 47.0 ± 16.8). One domain in QoL, ‘emotional well-being’, was found to be significantly lower among respondents with poor sleep (p = 0.035). In conclusion, the majority of the respondents had poor sleep quality and a higher credit unit was a factor for poor sleep quality. With regards to QoL, respondents had good physical functioning but poor vitality and sleep quality had affected their emotional well-being.

scholarly journals Poor Sleep quality and health-related quality of life impact in adolescents with and without chronic immunosuppressive conditions during COVID-19 quarantine

Clinics ◽  
2021 ◽  
Vol 76 ◽  
Author(s):  
Alberto C. Helito ◽  
Livia Lindoso ◽  
Sofia M. Sieczkowska ◽  
Camilla Astley ◽  
Ligia B. Queiroz ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Health Related Quality ◽  
Poor Sleep Quality ◽  
Life Impact ◽  
Related Quality ◽  
Health Related
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