scholarly journals Digital Device Use, Computer Vision Syndrome, and Sleep Quality among an African Undergraduate Population

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Prince Kwaku Akowuah ◽  
Augustine N. Nti ◽  
Stephen Ankamah-Lomotey ◽  
Asafo Agyei Frimpong ◽  
Jeremiah Fummey ◽  
...  
Keyword(s):  
Computer Vision ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Digital Device ◽  
Computer Vision Syndrome ◽  
Device Use ◽  
Use Behavior ◽  
The Relationship

Background. The purpose of the study was to determine the prevalence of computer vision syndrome (CVS) and poor sleep quality among university students and assess the relationship between digital device usage, CVS, and sleep quality. Methods. A cross-sectional study including undergraduate students was conducted in Ghana between January–March 2020. Information on digital device use and CVS symptoms was collected using a structured questionnaire. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Logistic regression was used to determine the relationship between CVS and digital device use behavior, and linear regression analysis was used to explore the association between sleep quality and digital device use behavior. Statistical significance was set at p  < 0.05. Results. Mean (SD) age of participants was 20.95 (1.68) years and most (54.97%) of them were females. The prevalence of CVS was 64.36%. Factors associated with CVS included hours of digital device use per day (OR = 4.1, p  < 0.001), years of digital device use (OR = 3.0, p  < 0.001), adjustment of digital device screen contrast to the surrounding brightness (OR = 1.95, p  = 0.014), and presence of glare (OR = 1.79, p  = 0.048). Prevalence of poor sleep quality was 62.43%. There was a significant association between poor sleep quality and number of years participants had used a digital device ( p  = 0.015) and the number of hours they used a digital device per day ( p  = 0.005). Conclusion. There is a high prevalence of both CVS and poor sleep quality among undergraduate students in Ghana. This represents a significant public health issue that needs attention.

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 Relationship Between Sleep–Wake Disturbance and Risk of Malnutrition in Hospitalized Patients With Cirrhosis

2021 ◽  
Vol 8 ◽  
Author(s):  
Yangyang Hui ◽  
Xiaoyu Wang ◽  
Zihan Yu ◽  
Hongjuan Feng ◽  
Chaoqun Li ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Adverse Outcomes ◽  
Nutritional Risk ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Entire Cohort ◽  
Related Quality ◽  
Male Patients ◽  
End Stage ◽  
The Relationship

Both sleep–wake disturbance and malnutrition are common in cirrhosis and might be associated with similar adverse outcomes, such as impaired health-related quality of life, hepatic encephalopathy, and sarcopenia, but there is no study investigating the relationship between these two. We aimed to explore the relationship between sleep–wake disturbance [estimated by the Pittsburgh Sleep Quality Index (PSQI)] and malnutrition risk [estimated by the Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT)]. About 150 patients with cirrhosis were prospectively recruited. The nutritional risk is classified as low (0 points), moderate (1 point), and high (2–7 points) according to the RFH-NPT score. A global PSQI &gt;5 indicated poor sleepers. Furthermore, multivariate linear regression analyses were performed to determine the relationship between sleep–wake disturbance and malnutrition. The median PSQI was seven, and RFH-NPT was two in the entire cohort, with 60.67 and 56.67% rated as poor sleep quality and high malnutrition risk, respectively. Patients with cirrhosis with poor sleep quality had significantly higher RFH-NPT score (3 vs. 1, P = 0.007). Our multivariate analyses indicated that male patients (β = 0.279, P &lt; 0.001), ascites (β = 0.210, P = 0.016), and PSQI (β = 0.262, P = 0.001) were independent predictors of malnutrition. In addition, the differences regarding PSQI score were more significant in male patients, as well as those &gt;65 years or with Child-Turcotte-Pugh class A/B (CTP-A/B) or the median model for end-stage liver disease (MELD) &lt;15. Taken together, the sleep–wake disturbance is strongly correlated with high malnutrition risk in patients with cirrhosis. Given sleep–wake disturbance is remediable, it is tempting to incorporate therapies to reverse poor sleep quality for improving nutritional status in patients with cirrhosis.

scholarly journals The relationship between sleep hygiene and sleep quality among residents of an elderly care institution in DKI Jakarta

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Mutia Annisa ◽  
Dwi Nurviyandari Kusuma Wati
Keyword(s):  
Sleep Quality ◽  
Sleep Problems ◽  
Elderly Care ◽  
Sleep Hygiene ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Cross Sectional Design ◽  
The Relationship ◽  
Purposive Sample

<p class="AbstractContent"><strong>Objective:</strong> Elderly are at risk of poor slepp quality and other health problems due to reduced sleep satisfaction. The objective of this study was to explore the association between sleep hygiene and sleep quality in elderly.</p><p class="AbstractContent"><strong>Methods: </strong>This was a descriptive study with cross sectional design. The study was conducted in four elderly care institutions in Jakarta, Indonesia, involving a purposive sample of 103 elderly aged 60 to 111 years old. Data were collected using Sleep Hygiene Index (SHI) and Pittsburgh Sleep Quality Index (PSQI).</p><p class="AbstractContent"><strong>Results:</strong> Over half of the residents had poor sleep hygiene (51.5%) and more than three quarter (81.6%) had poor sleep quality. The study revealed that there was a highly significant relationship between sleep hygiene and sleep quality (p = 0.001). The study also showed that those with poor sleep hygiene were 7.834 times more likely to have poor sleep quality.<strong></strong></p><p class="AbstractContent"><strong>Conclusion: </strong>Nurses need to include interventions that may address residents’ sleep problems. They also need to promote sleep hygiene and improve residents’ sleep quality.<strong></strong></p><strong>Keywords: </strong>elderly, institution, sleep hygiene, sleep quality

scholarly journals Sleep Quality and Self-Control: The Mediating Roles of Positive and Negative Affects

2020 ◽  
Vol 11 ◽  
Author(s):  
Jinru Liu ◽  
Lin Zhu ◽  
Conghui Liu
Keyword(s):  
Negative Affect ◽  
Sleep Quality ◽  
Positive Affect ◽  
Self Control ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Negative Affects ◽  
The Relationship ◽  
Positive And Negative Affects

This study examined the mediating roles of both positive and negative affects in the relationship between sleep quality and self-control. A sample of 1,507 Chinese adults (37% men; mean age = 32.5 years) completed self-report questionnaires measuring sleep quality, positive and negative emotions, and self-control. Poor sleep quality was positively correlated with negative affect and negatively correlated with positive affect and self-control. Positive affect was positively correlated with self-control, while negative affect was negatively correlated with self-control. Both positive and negative affects significantly mediated the relationship between sleep quality and self-control. Improving individuals’ sleep qualities may lead to more positive emotions and less negative emotion, and these mood changes may increase resources for self-control. Regulating positive and negative affects may reduce the negative effects of poor sleep quality on self-control.

Sleep quality mediates the relationship between frailty and cognitive dysfunction in non-demented middle aged to older adults

2019 ◽  
Vol 31 (06) ◽  
pp. 779-788 ◽  
Author(s):  
Sonya Kaur ◽  
Nikhil Banerjee ◽  
Michelle Miranda ◽  
Mitchell Slugh ◽  
Ni Sun-Suslow ◽  
...  
Keyword(s):  
Older Adults ◽  
Executive Function ◽  
Sleep Quality ◽  
Cognitive Decline ◽  
Processing Speed ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Delayed Recall ◽  
The Relationship

ABSTRACTObjectives:Frailty is associated with cognitive decline in older adults. However, the mechanisms explaining this relationship are poorly understood. We hypothesized that sleep quality may mediate the relationship between frailty and cognition.Participants:154 participants aged between 50-90 years (mean = 69.1 years, SD = 9.2 years) from the McKnight Brain Registry were included.Measurements:Participants underwent a full neuropsychological evaluation, frailty and subjective sleep quality assessments. Direct relationships between frailty and cognitive function were assessed using linear regression models. Statistical mediation of these relationships by sleep quality was assessed using nonparametric bootstrapping procedures.Results:Frailty severity predicted weaker executive function (B = −2.77, β = −0.30, 95% CI = −4.05 – −1.29) and processing speed (B = −1.57, β = −0.17, 95% CI = −3.10 – −0.16). Poor sleep quality predicted poorer executive function (B = −0.47, β = −0.21, 95% CI = −0.79 – −0.08), processing speed (B = −0.64, β = −0.28, 95% CI = −0.98 – −0.31), learning (B = −0.42, β = −0.19, 95% CI = −0.76 – −0.05) and delayed recall (B = −0.41, β = −0.16, 95% CI = −0.80 – −0.31). Poor sleep quality mediated the relationships between frailty severity and executive function (B = −0.66, β = −0.07, 95% CI = −1.48 – −0.39), learning (B = −0.85, β = −0.07, 95% CI = −1.85 – −0.12), delayed recall (B = −0.47, β = −0.08, 95% CI = −2.12 – −0.39) and processing speed (B = −0.90, β = −0.09, 95% CI = −1.85 – −0.20).Conclusions:Relationships between frailty severity and several cognitive outcomes were significantly mediated by poor sleep quality. Interventions to improve sleep quality may be promising avenues to prevent cognitive decline in frail older adults.

scholarly journals Psychological Distress Induces Poor Sleep Quality: A Cross-Sectional Study of Pharmacy Students in Bandung City, Indonesia

2018 ◽  
Vol 11 (1) ◽  
pp. 369-375 ◽  
Author(s):  
Sofa D. Alfian ◽  
Henry Ng ◽  
Dika P. Destiani ◽  
Rizky Abdulah
Keyword(s):  
Psychological Distress ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Subjective Sleep

Introduction: Poor subjective sleep quality in undergraduate students has not been widely studied in Bandung city, Indonesia. Poor sleep quality has been related to a number of risk factors for poor health outcomes. Objective: To analyze the association between psychological distress and subjective sleep quality. Methods: A cross sectional survey was done in one of the universities of Bandung city, Indonesia. Data were collected from 290 undergraduate students selected through consecutive sampling. Pittsburg Sleep Quality Index (PSQI) and Kessler-10 questionnaire were administered. Results: The prevalence of psychological distress was well (43.1%), mild (28.6%), moderate (20.7%), and severe (7.6%). The overall sleep quality was poor and good in 84.5% and 15.5% of the students. There was a significant association between psychological distress and poor sleep quality (p=0.006). The multivariate analysis suggested that psychological distress was a predictor of poor sleep quality (OR 1.991; 95% CI, 1.311−3.026). Conclusion: There is a need for an awareness of the college resources to help manage the stress levels of students through effective coping strategy-related study habits.

scholarly journals Anxiety and Sleep Quality are Affected in Students from Social Sciences

2020 ◽  
Vol 10 (3) ◽  
pp. 33-43
Author(s):  
Sofía González Salinas ◽  
Rubí Abigail Cruz Sánchez ◽  
Luis Enrique Ferrer Juárez ◽  
Martha Edith Reyes Garduño ◽  
María José Gil Trejo ◽  
...  
Keyword(s):  
Social Sciences ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Logistic Regression Model ◽  
Depressive Symptomatology ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Anxiety Management ◽  
Improve Sleep Quality ◽  
Eat 26

Sleep quality in college students has been related to anxiety and depressive symptomatology. However, the available statistics have been focused on students from Health Sciences thus preventing to know whether the same problematic is observed in students from other Majors. We applied the scales DASS-21, PSQI, and EAT-26 to 80 Mexican undergraduate students enrolled to any of the first three semesters of Majors in Administration, Industrial Engineering, or Medicine. We report that the percentage of students with abnormal scores in anxiety (33.33%) and poor sleeping quality (71.43%) was higher in Administration students. By using a logistic regression model, we show that anxiety scores can be explained by stress level, poor sleep quality, depression scores, and by the Major of study. Our findings show that anxiety management is needed for students to alleviate other emotional affections and improve sleep quality, particularly for those of Social Sciences.

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.

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