scholarly journals Association between Facebook Dependence and Poor Sleep Quality: A Study in a Sample of Undergraduate Students in Peru

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e59087 ◽  
Author(s):  
Isabella Wolniczak ◽  
José Alonso Cáceres-DelAguila ◽  
Gabriela Palma-Ardiles ◽  
Karen J. Arroyo ◽  
Rodrigo Solís-Visscher ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Undergraduate Students ◽  
Poor Sleep ◽  
Poor Sleep Quality

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 Association of the Pattern and Quality of Sleep with Consumption of Stimulant Beverages, Cigarette and Alcohol among Medical Students

2020 ◽  
Vol 18 (3) ◽  
pp. 379-385
Author(s):  
Sunil Bogati ◽  
Tulika Singh ◽  
Sagar Paudel ◽  
Baikuntha Adhikari ◽  
Dharanidhar Baral
Keyword(s):  
Sleep Quality ◽  
Undergraduate Students ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Health Sciences ◽  
Alcoholic Beverages ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Sleep Parameters

Background: Sleep is important in maintenance of proper functioning of both mental and physical functions of human body. Studies have shown there is impact on the sleep parameters with the use of caffeine, cigarette and alcohol. As there is little availability of similar studies here in Nepal, we made an attempt to know the relation of consumption of such substances with the sleep quality and sleep parameters as per Pittsburgh Sleep Quality Index scale.  Methods: A cross sectional study was conducted among the undergraduate students at BP Koirala Institute of Health Sciences, Dharan. Students were asked to complete a self- administered questionnaire to give information about demographic variables and habit of consumption of caffeinated beverages, cigarette and alcohol. The Pittsburgh Sleep Quality Index was utilized after the permission from authority to evaluate sleep quality. Results: Out of 350, almost half of the students (44.6%) had poor sleep quality. 40.8% students reported sleeping six hours or less per night and 10.1% used medications to sleep. 96% reported consuming caffeinated beverages, 20% consumed cigarettes and 38.3% consumed alcoholic beverages. There was significant association of poor sleep quality with the increased consumption caffeine, cigarette and alcohol (p<0.05). Conclusions: Poor sleep is prevalent among the undergraduate students of B P Koirala Institute of Health Sciences and the consumption of caffeine, cigarette and alcohol is associated with increment in poor sleep quality among them. Keywords: Caffeinated beverages; pittsburgh sleep quality index

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 Consumption of Energy Drinks and Their Effects on Sleep Quality among Students at the Copperbelt University School of Medicine in Zambia

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Richard Kalima Mwape ◽  
David Mulenga
Keyword(s):  
Sleep Quality ◽  
Undergraduate Students ◽  
Energy Drinks ◽  
Energy Drink ◽  
The United States ◽  
P Value ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
School Of Medicine ◽  
Energy Drink Consumption

Background. Good sleep quality is cardinal to good health, and research has shown that it plays a fundamental role in immunity, learning, metabolism, and other biological functions. Energy drink consumption is a popular practice among college students in the United States. There has been little research done on the consumption of energy drinks and its effects in Zambian universities. The main objective was to determine the effects of energy drinks on sleep quality among students at the Copperbelt University School of Medicine. A self-administered questionnaire was administered to 195 undergraduate students at the Copperbelt University School of Medicine in their second- and third-year of study. Energy drink consumption and sleep quality were assessed by univariate, bivariate, and multivariate analyses. 157 students were enrolled into the study. The prevalence of energy drink consumption was 27.4% among participants. Studying for an exam was the most common reason for drinking energy drinks (83.7% of energy drink users). The majority of participants were found to be have poor sleep quality (59.6%). There was a statistically significant association between energy drink consumption and poor sleep quality (p value < 0.01). The findings of our study show that energy drink consumption is not a common practice in the Zambian university setting as the prevalence was 27.4%. Furthermore, the prevalence of poor sleep quality among Zambian university students is high and is significantly associated with energy drink consumption, and there is a need to better understand the patterns of energy drink use as well as their effects on various aspects of health including sleep quality in the Zambian setting. Further research should assess the knowledge of nonmedical students on the effects of energy drinks.

Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Severe Depression ◽  
Dental Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.

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