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

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.

Download Full-text

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

Applied Sciences ◽

10.3390/app10093282 ◽

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.

Download Full-text

Group-based cognitive behavioral therapy program for improving poor sleep quality and quality of life in people with epilepsy: A pilot study

Epilepsy & Behavior ◽

10.1016/j.yebeh.2019.106884 ◽

2020 ◽

Vol 104 ◽

pp. 106884 ◽

Cited By ~ 1

Author(s):

Diana Paardekooper ◽

Zoe Thayer ◽

Laurie Miller ◽

Armin Nikpour ◽

Michael B Gascoigne

Keyword(s):

Quality Of Life ◽

Pilot Study ◽

Cognitive Behavioral Therapy ◽

Sleep Quality ◽

Behavioral Therapy ◽

Cognitive Behavioral ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Therapy Program

Download Full-text

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

ERJ Open Research ◽

10.1183/23120541.00062-2019 ◽

2019 ◽

Vol 5 (3) ◽

pp. 00062-2019 ◽

Cited By ~ 3

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.

Download Full-text

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

International Psychogeriatrics ◽

10.1017/s1041610212001032 ◽

2012 ◽

Vol 24 (11) ◽

pp. 1827-1835 ◽

Cited By ~ 36

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.

Download Full-text

SLEEP QUALITY AND QUALITY OF LIFE AMONG MALAYSIAN PHARMACY UNDERGRADUATE STUDENTS

Malaysian Journal of Pharmaceutical Sciences ◽

10.21315/mjps2021.19.1.5 ◽

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.

Download Full-text

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

Clinics ◽

10.6061/clinics/2021/e3501 ◽

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

Download Full-text

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

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17186804 ◽

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.

Download Full-text

Factors affecting sleep quality and its association to quality of life in adult Filipinos with cancer.

Journal of Clinical Oncology ◽

10.1200/jco.2019.37.15_suppl.e23100 ◽

2019 ◽

Vol 37 (15_suppl) ◽

pp. e23100-e23100

Author(s):

Amabelle Trina Borgonia Gerona ◽

Ryelene Baquilod ◽

Deborah A. Bernardo ◽

Roselle B. De Guzman

Keyword(s):

Quality Of Life ◽

Sleep Quality ◽

Sleep Disturbance ◽

Cancer Patients ◽

Advanced Disease ◽

Poor Sleep ◽

Quality Of Sleep ◽

Poor Sleep Quality ◽

Factors Affecting

e23100 Background: Sleep disturbances are highly prevalent in cancer patients and may be attributable to factors including pain, treatment side effects and psychological factors. However, the relationship between sleep and cancer is bidirectional. There is substantial evidence that sleep disturbance is associated with many aspects of cancer treatment, morbidity, mortality and quality of life. This study evaluated sleep quality in adult Filipinos with cancer and determined the association of demographic characteristics and clinical features to sleep quality. Methods: This was a cross-sectional surveillance study conducted among adult Filipinos with cancer seen at the Ambulatory Care Unit of a tertiary hospital. Questionnaires were answered to assess subjective sleep quality, pain score and quality of life. Frequency and percentages were determined. Determination of factors affecting sleep quality was analyzed using univariate and multivariate statistics. Results: Of the 406 cancer patients studied, 80% were women and the mean age was 53 years old. Majority (62%) had breast cancer. Seventy-nine percent (79%) of the patients had a PSQI score of 5 or greater, indicating poor sleep quality. Sleep among participants was characterized by prolonged time to fall asleep and shortened sleep duration. Majority reported some degree of daytime dysfunction due to poor sleep. Age, gender and marital status did not appear to affect the quality of sleep. Among disease-related factors, presence of more advanced disease, increasing pain severity and treatment with chemotherapy and/or radiotherapy were demonstrated to lead to poorer sleep quality. Surprisingly, even patients who were not receiving any active therapies (on-going surveillance) complained of sleep disturbance. Upon further investigation, poor sleep quality was shown to predict a worse quality of life among the study participants. Conclusions: Overall, the quality of sleep among adult Filipinos with cancer is significantly impaired. In particular, presence of more advanced disease, treatment with chemotherapy and radiotherapy and moderate to severe pain significantly increase the risk of having poor sleep. In turn, disturbed sleep predicted a poorer quality of life. These findings support the need to include assessment of sleep quality for a more holistic approach to cancer care.

Download Full-text

Cross-sectional research on sleep hygiene and health complaints among Pakistani college students

International Journal of Adolescent Medicine and Health ◽

10.1515/ijamh-2019-0187 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Arshi Rashid ◽

Najam-us Sahar

Keyword(s):

Quality Of Life ◽

Sleep Quality ◽

Physical Symptoms ◽

World Health ◽

Poor Sleep ◽

Daily Routine ◽

Health Complaints ◽

Poor Sleep Quality ◽

World Health Organization Quality

AbstractWith recent technological advancement, a major shift in the lifestyle of individuals has been observed. This change is more evident in youth in terms of sleep pattern changes and socialization. It is therefore important to assess the quality of life in this productive group of society. The protocol consisted of the Urdu version of the demographic questionnaires, the Pittsburgh Sleep Quality Index (PSQI), the Cohen-Hoberman Inventory of Physical symptoms (CHIPS) and the World Health Organization Quality of Life (WHOQOL-BREF). A total of 150 young adults (boys = 62, girls = 88) were included through convenience sampling. A significant positive association was found between poor sleep quality and health complaints (r = 0.53**). However, a significant negative association was found between poor sleep and quality of life in terms of physical health, psychological health, social relationships and the environment (r = −0.57**, −0.35**, −0.39**, −0.33**), respectively, which indicates the importance of sleep in determining quality of life. Furthermore, the majority of the participants (57%) reported good sleep quality and low health complaints [M = 15.08, standard deviation (SD) = 13.29] whereas 43% of participants reported poor sleep quality, more health complaints (M = 32.94, SD = 22.59) and poor quality of life. It shows that most of the participants are healthy and able to manage their daily routine, work commitment and provide services for country’s development.

Download Full-text