scholarly journals P1153ARE LONG-TERM PERITONEAL DIALYSIS PATIENTS SLEEPING WELL?

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Luisa Pereira ◽  
Anabela Malho Guedes ◽  
Ana Rita Martins ◽  
Patricia Matias ◽  
Patricia Branco
Keyword(s):  
Quality Of Life ◽  
Peritoneal Dialysis ◽  
Sleep Quality ◽  
Life Quality ◽  
Cardiac Insufficiency ◽  
Categorical Variables ◽  
Poor Sleep ◽  
Dialysis Patients ◽  
Poor Sleep Quality

Abstract Background and Aims Sleep quality is an important and determining factor in the quality of life (QoL) during dialysis. The prevalence of sleep disorders in the general population varies between 10 and 40%; this figure increases to 50% in dialysis patients. This study was conducted to determine which factors influence sleep quality in end stage renal disease patients on automated (APD) and continuous (CAPD) ambulatory peritoneal dialysis. Methods This was a cross-sectional study which included stable patients from two Peritoneal Dialysis Units. We excluded patients who weren’t able to understand the questionnaires, the language and the ones who had hospitalar admissions in the previous 3 months. Pittsburg Sleep Quality Index (PSQI) was used for assessing sleep quality (the higher the score, the lower the sleep quality), while quality of life parameters were assessed by self-administered EuroQol questionnaire (EQ-5D-5L). The presence of depressive symptoms was made with Patient Health Questionnaire (PHQ-9). In all patients, demographic variables, Charlson Comorbidity Index (CCI), clinical and laboratory parameters were recorded and analyzed. Descriptive statistics was performed. Two groups were created according to Pittsburg Sleep Quality score: G1 (n=42) - “poor” sleep quality and G2 (n=28) - “good” sleep quality. Groups were compared using independent t-test for comparison of continuous variables and Chi square test for categorical variables. In order to evaluate relationship between sleep quality and the other variables multivariate logistic regression and Pearson bivariate analysis were used. Results The study enrolled 70 patients (male/female 44/26; mean age 55.3±14.6 years; APD/CAPD 25/45; PD duration 28±24.2months). One third (31.4%) of the patients was diabetic, 12.9% presented cardiac insufficiency and 20% had cardiovascular disease. 50% of our population had a sleep disorder, although the majority of the problems were slight to moderate. We found that PD patients who sleep better (G2) had significant better life quality (p<0.001), lower CCI (p<0.001) and were less depressed (p<0.001). 77.3% of the patients with worst sleep quality (G1) were diabetic (p=0.04), regardless glycemic control and hemoglobin A1c. There were no significant differences between the two modalities of peritoneal dialysis (APD and CAPD patients), between genders or in patients who were PD first. We found no significant association between sleep quality and dialysis efficacy (weekly kt/v). Multivariate analysis (linear regression) showed a significant association between sleep quality and EuroQol (ExpB=0.000; IC 95% 0.000 to 0.054; p=0.002) and, depression (ExpB=1.274; IC 95% 1.045 to 1.552; p=0.017) in a model adjusted to age, PD duration and diabetes. Conclusion Our results show that poor sleep quality seems to be linked to life quality, comorbidity burden and depression. A better understanding of risk factors associated with poor sleep quality may help to signalize the patients who may benefit of specific treatment. The PSQI survey is a simple tool offering very complete information on sleep quality. The implementation of actions aimed at improving the hygiene of sleep may be an excellent way to improve the patients’ quality of life in an efficient and effective manner.

P1191PREDICTORS FOR QUALITY OF LIFE IN AUTOMATED AND CONTINOUS AMBULATORY PERITONEAL DIALYSIS

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Luisa Pereira ◽  
Luís Leite de Sousa ◽  
Anabela Malho Guedes ◽  
Patricia Matias ◽  
Patricia Branco ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cardiovascular Disease ◽  
Peritoneal Dialysis ◽  
Sleep Quality ◽  
Quality Index ◽  
Cardiac Insufficiency ◽  
Categorical Variables ◽  
Pittsburg Sleep Quality Index ◽  
Significant Difference

Abstract Background and Aims Quality of life (QoL) influences the morbidity and mortality in End-Stage Kidney Disease (ESKD) patients on dialysis and is increasingly well recognized as an important measure of treatment outcome. Identification of the factors that influence QoL in patients receiving peritoneal dialysis (PD) can help improving their management. This study was carried out to determine the clinical, biochemical and psychological predictors for QoL scores among ESKD patients on automated (APD) and continuous (CAPD) ambulatory peritoneal dialysis. Methods This was a cross-sectional study which included stable patients from two Peritoneal Dialysis Units. We excluded patients who weren’t able to understand the questionnaires, the language and the ones who had hospitalar admissions in the previous 3 months. Quality of life parameters were assessed by self-administered EuroQol questionnaire (EQ-5D-5L) - higher scores indicate better QoL; Pittsburg Sleep Quality Index (PSQI) was used for assessing sleep quality and evaluation of each patient’s depressive symptoms was made with Patient Health Questionnaire (PHQ-9). In all patients, demographic variables, Charlson Comorbidity Index (CCI), clinical and laboratory parameters were recorded and analyzed. Descriptive statistics was performed. Groups were compared using independent t-test for comparison of continuous variables and Chi square test for categorical variables. In order to evaluate relationship between QoL and the other variables multivariate logistic regression and Pearson bivariate analysis were used. Results The study included 70 patients (male/female 44/26; mean age 55.3±14.6 years; APD/CAPD 25/45; PD duration 28±24.2months). Mean CCI was 4.59±1.86; 31.4% of the patients were diabetic, 12.9% presented cardiac insufficiency and 20% had cardiovascular disease. We found that EuroQoL score was significantly associated with Pittsburg Sleep Quality Index (p=0.001), depression score (PHQ-9) (p<0.001), nPCR (p=0.006), duration of PD (p=0.017) and patients’ perception of their own well-being (P=0.002). Comparing EuroQol Score between genders, males had a significant lower score (p=0.011). We found no association with N-terminal pro-brain natriuretic peptide (NTproBNP), overhydration, residual renal function, weekly KT/V and hospital admissions. There were no significant differences regarding EuroQol score between the two modalities of peritoneal dialysis (APD and CAPD patients) or in patients who were PD first. We also found that the patients with lower EuroQol Score were significantly more depressed (p<0.001) and had poorer sleep quality (p<0.001). Sleep quality wasn’t associated with hypertension or cardiovascular disease. There was no significant difference concerning to age and CCI between the group of patients with worst QoL (EuroQol<0.212) and better QoL (EuroQol Score>0.961). Plus, there were no significant differences in the EuroQol score in patients with cardiovascular disease. In a multivariate analysis (linear regression) there was a significant association between EuroQol and depression (B=-0.346; IC 95% -0.022 to -0.004; p=0.004), nPCR (B=-0.417; IC 95% -0.254 to -0.072; p=0.001) and duration of PD (B=-0.351; IC 95% -0.004 to-0.001; p=0,004). Conclusion Poor sleep quality, presence of depression and lower nPCR are associated with poorer quality of life. In order to improve life quality in PD patients, quality of sleep, depression and nutritional status should be serially evaluated and given appropriate treatment when required.

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 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.

Predictors of poor sleep quality and excessive daytime sleepiness in peritoneal dialysis patients

Renal Failure ◽  
2014 ◽  
Vol 37 (1) ◽  
pp. 61-65 ◽  
Author(s):  
Xueli Lai ◽  
Wei Chen ◽  
Xiaolu Bian ◽  
Tieyun Wang ◽  
Juan Li ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Sleep Quality ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Poor Sleep ◽  
Dialysis Patients ◽  
Poor Sleep Quality

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 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

scholarly journals Poor Sleep Quality Decreases Concurrent Training Benefits in Markers of Metabolic Syndrome and Quality of Life of Morbidly Obese Patients

2020 ◽  
Vol 17 (18) ◽  
pp. 6804
Author(s):  
Pedro Delgado-Floody ◽  
Pedro Ángel Latorre-Román ◽  
Daniel Jerez-Mayorga ◽  
Felipe Caamaño-Navarrete ◽  
Johnattan Cano-Montoya ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Metabolic Syndrome ◽  
Sleep Quality ◽  
Concurrent Training ◽  
Morbidly Obese ◽  
Poor Sleep ◽  
Obese Patients ◽  
Poor Sleep Quality ◽  
Post Intervention

Background: Sleep quality (SQ) plays a role in multiple activities of daily living, but little is known about its role in concurrent training [CT, high-intensity interval (HIIT) plus resistance training (RT)] adaptations for metabolic syndrome (MetS) and health-related quality of life (HRQoL) markers. The aim of the present study was to determine the effects of a 20-week CT programme on MetS and HRQoL markers according to the SQ of morbidly obese patients. Methods: Twenty-nine morbidly obese patients were allocated to one of two groups: good sleep quality (GSQ, n = 15, 38.07 ± 12.26 years) and poor sleep quality (PSQ, n = 14, 40.79 ± 11.62 years). HRQoL, body mass index, waist circumference (WC), systolic and diastolic blood pressure (SBP and DBP, respectively), and plasma outcomes were measured. Results: The GSQ group reported significant changes (pre- vs. post-intervention) in WC (114.0 ± 3.1 vs. 110.4 ± 3.4 cm, p = 0.012), SBP (137.0 ± 4.3 vs. 125.6 ± 1.8 mmHg, p = 0.006), and HRQoL general health (51.33 ± 21.08 vs. 64.33 ± 16.24, p = 0.020). By contrast, the PSQ group showed significant changes only in SQ (9.00 ± 2.42 vs. 5.36 ± 2.84, p = 0.004). Conclusions: Morbidly obese PSQ patients showed a lower response for improving MetS and HRQoL markers after a 20-week CT programme than GSQ peers. However, there was a greater effect size for decreasing WC and SBP in favour of the GSQ compared with the PSQ group, suggesting that there are limitations to CT benefits on these outcomes in the PSQ group. These results call for more complex future studies.

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