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.

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 Morningness-Eveningness Chronotypes, Sleep Quality, and Sleepiness Among Nurses

2019 ◽  
Vol 12 (1) ◽  
pp. 414-419
Author(s):  
Mohammad Hajaghazadeh ◽  
Vahid Zamanzadeh ◽  
Marjan Ghofrani ◽  
Samira Orujlu
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Analysis Of Covariance ◽  
University Hospital ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Mean

Background:Poor sleep quality and sleepiness is a common problem in nurses. The morningness-eveningness preference of nurses may affect their sleep quality.Objective:The objectives of this study were (1) to describe the quality of sleep in a group of hospital nurses and (2) to analyze the effect of shift work and morningness-eveningness on the sleep quality of nurses.Methods:In this cross-sectional study, 120 nurses completed the survey in a university hospital in Iran. The study tools were Pittsburgh Sleep Quality Questionnaire (PSQI), Epworth Sleepiness Scale (ESS), and Morningness-Eveningness Questionnaire (MEQ). Nurses with PSQI>5 and ESS≥10 were considered having poor sleep quality and excessive daytime sleepiness. Nurses were subdivided into morning-, intermediate- and evening-types according to MEQ. Data were analyzed by chi-square, Mann–Whitney U-test, logistic regression, and analysis of covariance (ANCOVA) tests.Results:The mean (±SD) of PSQI and ESS was 6.88(2.18) and 9.5(±3.9), respectively. About 74% of nurses reported poor sleep quality, and near 40% of the nurses had excessive daytime sleepiness. Sixty percent of nurses were intermediate-type, and the remaining was morning (24.2%) and evening (15.8%) types. The sleep quality and daytime sleepiness had a significant relation with shift work. The mean PSQI was significantly different between shift work and non-shift work nurses. The mean PSQI of three main chronotypes was statistically different.Conclusion:Poor sleep quality was prevalent in the nurses and was significantly associated with shift work and chronotype. The sleep preference of nurses would be considered as an important factor in the assignment of shift work by hospital managers.

Sleep disturbance among Type II diabetic patients and influence of glycemic control (Preprint)

2021 ◽  
Author(s):  
Turk Al Nefaie ◽  
Ghaliah Alnefaie ◽  
Shahad Alqahtani ◽  
Sarah Alqasem ◽  
Albatoul Althobaiti ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Sleep Quality ◽  
Significant Risk ◽  
Military Hospital ◽  
Considerable Proportion ◽  
Diabetic Patients ◽  
Poor Sleep ◽  
Type Ii ◽  
Poor Sleep Quality ◽  
Increased Risk

BACKGROUND Experimental and observational studies have indicated that poor sleep quantity and quality are associated with an increased risk of chronic diseases including insulin resistance. Additionally, sleep disorders has been reported aggravating diabetes due to decreased glucose metabolism and elevated cortisol levels as well as it can increases the risk for the development of diabetes. OBJECTIVE To assess the sleep quality and its determinants and impact on glycemic control of type II diabetic patients. METHODS A cross sectional study was adopted among a representative sample of patients diagnosed with type II Diabetes seen in Prince Mansoure Military Hospital Diabetic Center in Taif throughout the study period (March-July 2021). A self-administered questionnaire was utilized in the present study including 5 main parts: demographic data of the patients, medical and social history, the Pittsburgh Sleep Quality Index (PSQI) to assess the subjective sleep quality, weight and height measurements and the most recent glycated hemoglobin (HbA1c) level. RESULTS The study included 270 type 2 diabetic patients out of a targeted 282 with a response rate of 95.7%. Most of them aged either between 51 and 60 years (34.8%) or over 60 years (42%). Females represent 63% of them. Majority of patients (87.8%) had HbA1c ≥7%, indicating uncontrolled blood glucose level. Overall, poor sleep quality, based on PSQI was observed among 41.1% of type II diabetic patients. Results of multivariate logistic regression analysis revealed that compared to patients whose income was lower than 5000 SR/month, those with income of 50001-1000 and >15000 SR/month were at lower significant risk for having poor sleep (Adjusted odds ratio “AOR” =0.44, 95% confidence interval “CI” =0.22-0.86, p=0.016 and AOR=0.21, 95%CI=0.06-0.77, p=0.019; respectively). Opposed to diabetic patients with duration of less than one year of DM, those with duration exceeded 10 years were at almost 6-folds higher risk for poor sleep quality (AOR=6.39, 95%CI=1.12-36.43, p=0.037). Patients with history of social stressors were at higher significant risk for poor sleep quality compared to those without such history (AOR=4.99, 95%CI=1.71-14.67, p=0.003). CONCLUSIONS A considerable proportion of type II diabetic patients attending the diabetic center, Prince Manasour Military hospital in Taif, Kingdom of Saudi Arabia expressed poor sleep quality. However, there was no association between glycemic control level and poor sleep quality.

scholarly journals Influence of Sleeping Patterns in Health and Academic Performance Among University Students

2020 ◽  
Vol 17 (8) ◽  
pp. 2760
Author(s):  
María Dolores Toscano-Hermoso ◽  
Félix Arbinaga ◽  
Eduardo J. Fernández-Ozcorta ◽  
Juan Gómez-Salgado ◽  
Carlos Ruiz-Frutos
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Ex Post ◽  
Small Effect Size ◽  
The Relationship

Sleep problems in university students are important and have implications for health, quality of life, and academic performance. Using an ex post facto design, a total sample of 855 students (55.7% women) participated in the study. Sleep assessment was conducted using the Pittsburgh Sleep Quality Index, the Nightmare Frequency Scale, the Nightmare Proneness Scale, and the Composite Morningness Scale. Women show a higher risk [OR = 2.61] of presenting poor sleep quality (> 5 points on the PSQI) compared with men (p < 0.001). Similarly, women reported a greater frequency of nightmares (p < 0.001, d = 0.60), greater propensity for nightmares (p < 0.001, d = 0.70) and a higher score on Item-5h of the PSQI regarding nightmares (p < 0.001, d = 0.59). Women, compared with men, show higher risk [OR = 2.84] for a sleep disorder related to nightmares (p = 0.012). Women need more time to reach a state of alertness after getting up (p = 0.022), and there was an interaction between sex and the alertness factor when evaluating the subjective quality of sleep (p = 0.030). Women show worse sleep quality and a higher frequency and propensity for suffering nightmares. When considering the relationship between sleep quality and academic performance, it is observed that students with poor sleep quality obtain lower academic scores (M = 7.21, SD = 0.805) than those with good sleep quality (M = 7.32, SD = 0.685), an effect that reaches significance (t = 2.116, p = 0.035). Regarding the relationship between the categorized chronotype and academic performance, students with a morning chronotype achieve better academic results (M = 7.41, SD = 0.89) than their evening counterparts (M = 7.15, SD = 0.76), although these differences have a small effect size (d = 0.31).

scholarly journals Exploring the relationship of sleep quality with drug use and substance abuse among university students: a cross-cultural study

2020 ◽  
Vol 27 (1) ◽  
Author(s):  
Fahmi Hassan Fadhel
Keyword(s):  
Substance Abuse ◽  
Drug Use ◽  
University Students ◽  
Sleep Quality ◽  
Social Life ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Abstract Background There is a growing interest in studying the area of drugs and college students due to the negative effects that drugs have on a student’s social life, academics, psychology, finances, and health. So, this study aims to identify the relationship between drug/substance abuse and quality of sleep among university students in Yemen and Saudi Arabia. The sample size was 935 (43.21% N = 404 female, 56.79% N = 531 male, 55.40% N = 518 Yemeni, and 44.60% N = 417 Saudi). Students responded to the Drug Abuse Screening Test (DAST-10), the Pittsburgh Sleep Quality Index (PSQI), and the Substance Abuse Questionnaire. Results The results showed a high prevalence of drug use: 43.1% of respondents (27.27% N = 219 Yemenis and 15.83% N = 148 Saudis) abuse drugs, 29.41% were in the low level of drug use, 10.48% were in the moderate level of drug use, 2.46% were in the substantial level of drug, and 0.75% were in the severe level of drug use as per the DAST-10. The differences between both countries in terms of drug use were significant (X2 19.394, P < 0.001). The prevalence rate of inhalants was 16.36% and of sedatives was 12.09%, and the differences between countries were significant. The prevalence of poor sleep quality was 24.81%; a total of 7.91% of respondents had very poor sleep quality, while 16.90% had poor sleep quality. The differences between countries were not significant. The relationship between sleep quality and drug use, smoking, and substance abuse was significant. The quality of sleep decreased consistently with a high level of drug use or substance abuse. Conclusions Poor sleep quality is significantly associated with drug use and substance abuse, and it is important to recognize the factors affecting drug and substance abuse among university students. A significant contribution can make for the protection of university students by guaranteeing that psychological interventions for high-risk groups are planned in advance.

scholarly journals Investigation of Internet Addiction and Its Relationship with Sleep Quality and Depression among Dormitory Students of Larestan School of Health

2021 ◽  
Author(s):  
Bahram KOUHNAVARDT ◽  
Marjan ASDIAR ◽  
Marzieh HONARBAKHSH ◽  
Mohammad Reza ZARE ◽  
Zahra SHAHMOHAMMADI
Keyword(s):  
Sleep Quality ◽  
Internet Addiction ◽  
Analytical Study ◽  
Sampling Method ◽  
Statistical Tests ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Negative Effect ◽  
The Mean ◽  
The Relationship

Introduction: Internet addiction has a negative effect on mental health and leads to clinical discomfort and disorder. Therefore, this study was conducted to investigate the relationship between Internet addiction with sleep quality and depression in dormitory students. Methods: This study was a descriptive-analytical study. Since all students living in dormitories participated in this study (95 people), the sampling method was census. The study used three Young Internet addiction questionnaires, the Goldberg Depression Inventory, and the Petersburg Sleep Quality Questionnaire. For statistical analysis of data, descriptive statistics such as mean, standard deviation and also analytical statistical tests such as one-way analysis of variance with SPSS 22 software were used. Results: Among the students studied, 63 (66.3%) were normal in terms of Internet addiction, 31 (32.6%) were mildly addicted and 1 was severely addicted to the Internet. The study of depression among students showed that out of 95 people, 22 people have mild to moderate depression and 10 people have borderline depression. The mean score of students' sleep quality was 7.38 ± 2.88 and there was a significant relationship between it and Internet addiction (P <0.001) Discussion and Conclusion: Given the prevalence of Internet addiction among students and its significant association with depression and poor sleep quality, the necessary planning should be done to prevent this health problem.

scholarly journals The Relationship between Sleep Quality and Quality of Life of Retired Elderly

2019 ◽  
Author(s):  
Somayeh Sharifi ◽  
Zeinab Heidari ◽  
Saba Bromand ◽  
Nilofar Binayi ◽  
Mahrokh Keshvari
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Statistical Tests ◽  
Pearson Correlation ◽  
Simple Random Sampling ◽  
Poor Sleep ◽  
Life Questionnaire ◽  
The Mean ◽  
The Relationship

Introduction: Survey about the issues and problems related to elderly in order to improve their Quality Of Life (QOL) of this increasing population has become a universal concern. Even though aging is a natural process but many effective factors such as rest and sleep pattern can affect this process. So this study aimed to determine the relationship between sleep quality and QOL of the retried elderly members of Isfahan retirement center Methods: This descriptive-analytic study was done on 192 retired older adults were referred to Isfahan retirement center by simple random sampling. The information collected via demographic variables, Pittsburgh Sleep Quality Index and Elderly Quality of Life Questionnaire (LIPAD). Finally the data analysis by software SPSS 21 and descriptive statistical tests, Pearson correlation coefficient, t-test and ANOVA. Results: The results showed that the mean score of sleep quality in the elderly was 6.63 ± 3.41 (range 0-21), which show their sleep quality were poor. The mean score of their QOL were 61.15 ± 9.97 (range 0-93). In addition there were significant and positive correlations between sleep quality and QOL and its dimensions in the retried elderly (p < 0.05). Conclusion: The findings of this study suggest that poor sleep quality in retired elderly people is associated with lack of QOL. Therefore, paying attention to this issue is important in health supporting programs.

scholarly journals Quality of Sleep and Its Correlates among Yemeni Medical Students: A Cross-Sectional Study

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bothaina Ahmed Attal ◽  
Mohammed Bezdan ◽  
Abdulwahab Abdulqader
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
The Mean

Background. Sleep disturbance is particularly common among medical students worldwide and affects their wellbeing and academic performance. However, little is known about this issue in Yemen. This study looks at sleep quality and its association with personal and life-style factors and self-reported academic performance among medical students at the largest Yemeni university. Methods. A cross-sectional survey was conducted at Sana’a University, Yemen, in 2017. The Pittsburgh Sleep Quality Index (PSQI), consisting of 19 items and 7 components ( score   range = 0 ‐ 3 ), was used to assess sleep quality. The summation of the components’ scores yields the global PSQI score ( range = 0 ‐ 21 ). A global PSQI value higher than 5 indicates poor quality of sleep. Logistic regression was applied to look at relationships. Results. 240 male (41%) and female (59%) medical students took part in the study with 54% being preclinical and 46% clinical with an average age of 23.3 years ( SD = 1.7 ). The mean global score (SD) was 6.85 (2.8), and 68% of the students ( N = 163 ) were identified as poor sleepers. The mean global PSQI score (SD) and proportion of poor sleepers were higher among males (7.7 (2.8) and 81%, respectively) than females (6.27 (2.42) and 59.2%, respectively), p ≤ 0.001 . Good sleep quality was more likely (OR (95% CI)) among females (3.4 (1.3-8.8)), the unmarried (2.8 (1-7.8)), those in good health (2.3 (1.1-4.5)), and nonkhat chewers (4.9 (1.4-17.1)). Nonsmokers were less likely to have good quality sleep compared to occasional smokers (0.185 (0.071-.485)). Stress (30%) and academic workload (21%) were the most commonly reported causes of poor sleep quality. Almost two-thirds of the students (65%) mentioned that disturbed sleep undermined their academic performance. Conclusions. Poor sleep quality is common among Sana’a medical students and impacts their academic performance. Specific stress management and sleep hygiene promoting programs should be incorporated early on in medical education.

scholarly journals The relationship between nutritional habits and sleep quality in adolescents of Yazd, Iran

2019 ◽  
Author(s):  
Hassan Mozaffari-Khosravi ◽  
Majid Karandish ◽  
Ali Mohammad Hadianfard ◽  
Maryam Azhdari ◽  
Leila Sheikhi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Significant Relationship ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Unhealthy Lifestyle ◽  
Nutritional Habits ◽  
Breakfast Skipping ◽  
The Relationship

Abstract BackgroundLifestyle and its relationship to aspects of sleep quality have been reported in many studies. An unhealthy lifestyle is associated with less sleep duration and sleep patterns. Breakfast skipping is as an important part of unhealthy lifestyle. Poor sleep quality and skipping breakfast are common in adolescents. The aim of this study was to investigate the relationship between nutritional habits (breakfast and midmorning snack) and sleep quality in Yazd adolescents.MethodsThis study was conducted among 569 students aged 12–16 years. They were selected by multistage random-cluster sampling method. Information such as demographic characteristics, anthropometric measurements, students' nutritional habits, physical activity and sleep quality were collected from all adolescents. All data were assessed by interview, 7-day food record, short form of the International Physical Activity, and Questionnaire and Pittsburgh Sleep Quality Index. The data were analyzed by SPSS software (version 22).ResultsThe prevalence of breakfast skipping and semi-skipping (57.2%), overweight and obesity (37.8%), and insufficient sleep duration (38.9%) were high. The sleep score was significantly better in boys (p = 0.02). Sleep quality score of 63.7 % of the students was poor, but a significant relationship was not illustrated between sleep quality with breakfast frequency, abnormal weight, breakfast time, morning snack intake. A significant relationship was found between poor sleep quality with late bedtime and low physical activity (p <0.0001), late dinner (p <0.004), and female gender (p <0.02).ConclusionsThis cross-sectional study supported the association between having dinner soon and no late bedtime with good sleep quality. But no significant difference was shown between sleep quality with weight and breakfast habits. This study suggested paying more attention to nutritional and sleeping status in this age group by employing skilled nutritionists and mental health professional in high schools.

scholarly journals Sleep quality and associated factors during the COVID-19 epidemic among community non-medical anti-epidemic Workers of Wuhan, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guanglin Si ◽  
Yi Xu ◽  
Mengying Li ◽  
Yuting Zhang ◽  
Shuzhen Peng ◽  
...  
Keyword(s):  
Social Support ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Associated Factors ◽  
Perceived Social Support ◽  
Educational Background ◽  
Physical Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality

Abstract Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers. Method A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality. Conclusion Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.

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