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.

scholarly journals Profile of nursing students: quality of life, sleep and eating habits

2020 ◽  
Vol 73 (suppl 1) ◽  
Author(s):  
Carolina Pasquini Praxedes Salvi ◽  
Sandra Soares Mendes ◽  
Milva Maria Figueiredo De Martino
Keyword(s):  
Quality Of Life ◽  
Nursing Students ◽  
Sleep Quality ◽  
Eating Habits ◽  
Poor Sleep ◽  
Self Perception ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Study Results

ABSTRACT Objective: to profile and analyze sleep quality, quality of life and eating habits of nursing students. Methods: a cross-sectional, comparative and correlational study with the following variables: sociodemographic characteristics, Pittsburgh sleep quality index, quality of life and eating habits. One hundred ninety-five students participated in the study. Results: participants were on average 24 years old. Results showed that females were prevalent (87.1%); 71.0% of the students had poor sleep quality; 98.9% used electronic devices before bedtime. Self-perception of quality of life was indifferent (38.3%), and self-perception of general health, 36.9% expressed satisfaction. Among the participants, 45.13% consumed one portion of fruit and 40.66% two to three portions of vegetables daily. Conclusion: the study allowed the profile of these students, sedentary, overweight and poor sleep quality young students who studied and worked.

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.

The use of gadgets and their relationship to poor sleep quality and social interaction on mid-adolescents: a cross-sectional study

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ilya Krisnana ◽  
Venni Hariani ◽  
Iqlima Dwi Kurnia ◽  
Yuni Sufyanti Arief
Keyword(s):  
Social Interaction ◽  
Sleep Quality ◽  
Rank Correlation ◽  
Simple Random Sampling ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
The Social

AbstractBackgroundMid-adolescents dominate the number of gadget users in Indonesia. The use of gadgets to a high intensity can cause various problems such as poor sleep quality and decreased social interaction. The purpose of this study was to analyze the relationship between the intensity of the use of gadgets and the quality of sleep and social interaction in adolescents.MethodThe research design used was a correlational research study with a cross-sectional approach. Through the calculation of the sample, the respondents were 250 adolescents who met the inclusion criteria, namely (1) adolescents aged 15–18 years and (2) teens who owned and used gadgets. The sampling method used simple random sampling by conducting a lottery system in each class. The independent variable was the intensity of using the gadget, while the dependent variable was the quality of sleep and social interaction. Data collection focused on the intensity of gadget use using questionnaires and it was analyzed using the Pittsburgh Sleep Quality Index (PSQI) and the Social Interaction Anxiety Scale (SIAS). The data was analyzed using Spearman’s rank correlation with α = 0.05.ResultsThe results showed that the intensity of gadget use was positively related to poor sleep quality in adolescents (p = <0.001; r = 0.555). The intensity of the use of gadgets was also related to social interaction with a negative direction. The higher the intensity of the use of gadgets, the lower the social interaction in adolescents (p = 0.001; r = –293).ConclusionThe use of gadgets in the mid-adolescent years is related to sleep disorders as regards the latency and duration of sleep. Adolescents are more likely to engage in social interaction and communication through gadgets than face to face.

scholarly journals Factors Associated with Sleep Disorders among Methadone-Maintained Drug Users in Vietnam

2019 ◽  
Vol 16 (22) ◽  
pp. 4315 ◽  
Author(s):  
Tuan Anh Le ◽  
Anh Duc Dang ◽  
An Ha Thi Tran ◽  
Long Hoang Nguyen ◽  
Trang Huyen Thi Nguyen ◽  
...  
Keyword(s):  
Social Support ◽  
Sleep Quality ◽  
Associated Factors ◽  
Drug Users ◽  
Methadone Maintenance ◽  
Poor Sleep ◽  
Linear Regression Models ◽  
Poor Sleep Quality ◽  
Cross Sectional

Sleep quality among heroin-dependent patients receiving methadone maintenance treatment (MMT) is not fully investigated in Vietnam. This study explored the prevalence of poor sleep quality in methadone-maintained patients and associated factors. This cross-sectional included 395 MMT patients at three clinics in Nam Dinh province, Vietnam. The Pittsburgh Sleep Quality Index (PSQI) was employed to measure patients’ sleep quality. Sociodemographic, clinical, behavioral, psychological, and social support characteristics were collected. Multivariate Logistic and Generalized Linear Regression models were applied to identify associated factors. Among 395 patients, 26.6% had poor sleep quality according to the PSQI scale. People having jobs were less likely to have poor sleep quality and lower PSQI scores compared to unemployed patients. Those having spouses had lower PSQI scores than single patients. High depression, anxiety, and stress scores were associated with poor sleep quality and high PSQI scores. A longer duration of MMT increased the likelihood of experiencing poor sleep quality. Patients smoking tobacco daily or concurrently using drugs had lower PSQI scores than those that did not. This study highlights a moderate prevalence of poor sleep quality among Vietnamese MMT patients. Regular evaluation, appropriate psychological management, and social support, as well as the provision of employment opportunities, potentially improve the sleep quality of methadone-maintained patients.

scholarly journals The quality and characteristics of sleep of hypertensive patients

2015 ◽  
Vol 49 (4) ◽  
pp. 0596-0602 ◽  
Author(s):  
Juliét Silveira Hanus ◽  
Graziela Amboni ◽  
Maria Inês da Rosa ◽  
Luciane Bisognin Ceretta ◽  
Lisiane Tuon
Keyword(s):  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Registration System ◽  
Hypertensive Patients

OBJECTIVEAnalyzing the quality of sleep of hypertensive patients registered in the national registration system and monitoring of hypertensive patients.METHODSA cross-sectional study of quantitative and descriptive analyses with 280 hypertensive patients registered in the National Program of Hypertension and Diabetes of the Federal Government in the months from August to October 2011. Questionnaires were used which allowed for tracking sociodemographic data on hypertension and Pittsburgh Sleep Quality Index (PSQI).RESULTSThe prevalence of poor sleep quality among respondents (156 hypertensive patients) and high rates of using medication for sleeping (106 hypertensive patients) was observed. Other relevant data refers to the quality of sleep among hypertensive patients using sleep medication compared to those who do not use it (p≤0.01).CONCLUSIONIndividuals with high blood pressure have a negative association with sleep quality.

scholarly journals Quality of sleep and use of computers and cell-phones among university students

2019 ◽  
Vol 65 (12) ◽  
pp. 1454-1458 ◽  
Author(s):  
Diogo von Gaevernitz Lima ◽  
Ana Claudia Garabeli Cavalli Kluthcovsky ◽  
Luiz Gustavo Rachid Fernandes ◽  
Giovane Okarenski
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Computer Use ◽  
Cell Phones ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Good Sleep

SUMMARY OBJECTIVE Evaluate the quality of sleep and its association with the use of computers and cell-phones among medicine and dentistry students. METHODS Cross-sectional and comparative study, which evaluated 425 students through a socioeconomic questionnaire, the Pittsburgh Sleep Quality Index(PSQI), and a questionnaire on their use of computers and cell phones. RESULTS Poor sleep quality was observed in 61.4% of medical students and in 60.1% of dentistry students. Medical students with poor sleep quality had a higher mean time of computer use at night when compared to those with good sleep quality (p=0.04), as well as for computer (p<0.001) and cell phone use (p<0.01) immediately before bedtime. Dentistry students with poor sleep quality had a higher average time of computer use before bedtime than those with good sleep quality (p=0.03). CONCLUSION Students should receive guidance on prevention strategies and quality of sleep care.

scholarly journals Sleep quality of Brazilian nursing students: A cross-sectional study

2019 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Andréia Ferreira dos Santos ◽  
Fernanda Carneiro Mussi ◽  
Cláudia Geovana da Silva Pires ◽  
Melissa Almeida Santos Paim ◽  
Fernanda Michelle Santos e Silva ◽  
...  
Keyword(s):  
Nursing Students ◽  
Sleep Quality ◽  
Family Income ◽  
Cross Sectional Study ◽  
Public Institution ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional

Objective: To describe the sleep quality of nursing students according to the Pittsburgh Sleep Quality Index.Methods: This is a cross-sectional study conducted with 286 nursing students from a public institution in Salvador, Bahia. Data gathering instruments were applied in classrooms and data were assessed in absolute and relative frequencies, means and standard deviation.Results: The mean age of participants was 23.48 years (SD = 4.421). Most of students were female (90.2%), single with partner (90.9%), afro descendent (87.8%), unemployed (81.5%), total Family income below than four minimum wages (47.2%), enrolled between 6th and 10th  semester (54.5%), attending academic activities in two or three shifts (80.8%). Sample showed poor sleep quality (86.4%), especially due to the sleep duration, sleep disturbances and daytime disfunction.Conclusions: Poor sleep quality was prevalent in the sample, what rises the need of further analysis of the associated factors and interventions to change this reality.

scholarly journals Health status, resilience and quality of life of first and fourth year nursing students

2019 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Rodrigo Marques da Silva ◽  
Ana Lucia Siqueira Costa ◽  
Fernanda Carneiro Mussi ◽  
Fernanda Michelle Santos e Silva ◽  
Keila Cristina Félis ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Nursing Education ◽  
Depressive Symptoms ◽  
Health Status ◽  
Nursing Students ◽  
Sleep Quality ◽  
Depression Scale ◽  
Poor Sleep ◽  
Cross Sectional

Objective: To compare the health status (stress, depressive symptoms and sleep quality), the resilience and quality of life in first and fourth year nursing students.Methods: This is a cross-sectional research conducted in 2016 with 86 students enrolled in first and fourth years of the nursing degree. We applied the instrument for Assessment of Stress in Nursing Students, the Center for Epidemiologic Studies Depression Scale, Pittsburg Sleep Quality Index, Wagnild and Young’s Resilience Scale; and the WHOQOL-BREF. ANOVA (Test F) was applied for data analysis.Results and conclusions: A total of 49 first-year and 37 fourth-year students were sampled for this study. Fourth- year nursing students showed higher levels of stress, lower intensity of depressive symptoms and higher quality of life and resilience levels. The poor sleep quality was prevalent in both groups. Conclusion: although the nursing education potentially contributes for students’ sickness, the experiences lived in this period may strength the resilience skills.Conclusions: Video indexing and retrieval are accomplished by using hashing and $k$-d tree methods, while visual signatures containing color, shape and texture information are estimated for the key-frames, by using image and frequency domain techniques. Experimental results with the dataset of a multimedia information system especially developed for managing television broadcast archives demonstrate that our approach works efficiently, retrieving videos in 0.16 seconds on average and achieving recall, precision and F1 measure values, as high as 0.76, 0.97 and 0.86 respectively.

scholarly journals Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction

2020 ◽  
Vol 37 (1) ◽  
Author(s):  
Betul Ozcan ◽  
Nurhan Meydan` Acimis
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Smartphone Addiction ◽  
Short Version ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Creative Commons

Objective: Research shows that poor sleep quality and smartphone addiction are common problems among university students. This study was planned to evaluate the quality of sleep in students at Pamukkale University and to investigate its relationship with smartphone addiction. Methods: This cross-sectional study was carried out at the university campus in 2017-2018. Its dependent variable was low sleep quality. Independent variables were smartphone addiction, features related to smartphone addiction, socio-demographic features and other questioned features. The total number of students attending normal education in seven faculties and two colleges for four years was 20862. The minimum sample size of the study was calculated as 1088. Smartphone Addiction Scale-Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) were used. The data were analyzed with the SPSS program. Results: The mean age was of the participants 21.39 ± 2.21. The sleep quality of students with a PSQI total score of more than five was defined as ‘poor’. The frequency of poor sleep quality was 52.4%. The frequency of smartphone addiction was 34.6% according to the SAS-SV scale. It was found that the frequency of poor sleep quality was significantly higher in students with smartphone addiction compared to others. Conclusion: Smartphone addiction was found as one of the risk factors for poor sleep quality. doi: https://doi.org/10.12669/pjms.37.1.3130 How to cite this:Ozcan B, Acimis NM. Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction. Pak J Med Sci. 2021;37(1):206-211. doi: https://doi.org/10.12669/pjms.37.1.3130 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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