Predictors of poor sleep quality and excessive daytime sleepiness in Turkish adults with type 2 diabetes

2015 ◽  
Vol 16 ◽  
pp. S59-S60
Author(s):  
B. Kara ◽  
Ö Kılıç
Author(s):  
Ching-Pyng Kuo ◽  
Shu-Hua Lu ◽  
Chien-Ning Huang ◽  
Wen-Chun Liao ◽  
Meng-Chih Lee

Purpose: Sleep disturbance is one of the major complaints among patients with diabetes. The status of diabetes control and associated complications may contribute to sleep disturbance. This study explored night time sleep and excessive daytime sleepiness in adults with type 2 diabetes and examined the association of diabetes control and associated complications on their sleep quality. Methods: A retrospective cohort study design was used. Type 2 diabetic patients (87 females and 79 males, aged 63.1 ± 10.5 years) were recruited from the outpatient clinics of the endocrine department. Sleep quality was assessed by the Pittsburg Sleep Quality Index and the Epworth Sleepiness Scale. Diabetes control and complications were obtained by retrospectively reviewing patients’ medical records over 1 year prior to study enrollment. Results: 72.3% of recruited patients had poor glycemic control, and 71.1% had at least one diabetic complication. 56.0% of patients experienced poor sleep quality, and 24.1% had excessive daytime sleepiness. Those who were female (OR = 3.45) and who had ophthalmological problems (OR = 3.17) were associated with poor night time sleep quality, but if they did exercise to the point of sweating (OR = 0.48) reduced the risk of poor sleep quality. Furthermore, poor sleep quality (OR = 4.35) and having nephropathy (OR = 3.78) were associated with a higher risk of excessive daytime sleepiness. Conclusions: Sex, ophthalmological problems, nephropathy, and no exercise to the point of sweating are associated with sleep problems in patients with type 2 diabetes. Both lifestyle behaviors and diabetic complications affect sleep disturbances in patients with diabetes.


2010 ◽  
Vol 81 (9) ◽  
pp. 963-967 ◽  
Author(s):  
A. A. Tieleman ◽  
H. Knoop ◽  
A.-E. van de Logt ◽  
G. Bleijenberg ◽  
B. G. M. van Engelen ◽  
...  

2021 ◽  
Vol 74 (7-8) ◽  
pp. 266-272
Author(s):  
Ramazan Erdem ◽  
Nazan Şimşek Erdem ◽  
Erdal Kurtoğlu

To investigate the quality of sleep and the presence of Restless Legs Syndrome (RLS) in the Turkish population with β-thalassemia major (TM). The second aim was to assess the risk factors of RLS in TM adults. The study sample comprised of 121 patients at least 18 years old with TM. The patients’ socio-demographic information, body mass indexes (BMI), current medications, laboratory data were recorded. The patients were asked if they had a history of chronic kidney disease, diabetes mellitus (DM), and polyneuropathy. Restless legs syndrome was diagnosed according to the International Restless Legs Syndrome Study Group criteria. The sleep quality of the patients was assessed using the Pittsburgh Sleep Quality Index (PSQI) scale. The Epworth Sleepiness Scale (ESS) was used to assess excessive daytime sleepiness in the patients. The median age of the patients was 25 years (range 18-52). The mean BMI was 21.49±2.5 (R 14-26.5) for all patients. The prevalence of RLS was 5% in TM adult patients. The TM patients with RLS had no major complications of TM. The median PSQI global score of all patients was 3. Twenty-two (18.1%) patients had poor sleep quality. The reason for poor sleep quality was RLS symptoms in four patients (18%). There was no significant association between PSQI total score and blood parameters of the patients. Twelve (9.9%) patients had ESS scores greater than 10, which indicates excessive daytime sleepiness. The prevalence of RLS in TM patients was similar to that of the general Turkish adult population. These results indicate that RLS may occur in patients with TM, although they had a high level of serum ferritin.


Author(s):  
Ieva Kalere ◽  
Ilze Konrāde ◽  
Anna Proskurina ◽  
Sabīne Upmale ◽  
Tatjana Zaķe ◽  
...  

Abstract There is a close relationship between melatonin as a circadian regulator and insulin, glucagon and somatostatin production. This study aimed to describe subgroups of type 2 diabetes mellitus (T2DM) patients that may benefit from melatonin clock-targeting properties. The study involved 38 participants: 26 T2DM patients, and 12 participants without diabetes in the control group. Subjects were asked to complete the questionnaire of Pittsburgh Sleep Quality Index (PSQI). Standard biochemical venous sample testing was performed, and a sample of saliva was collected for melatonin testing. Melatonin concentration in participants without obesity (body mass index (BMI) < 30 kg/m2) was significantly higher than in obese participants: 13.2 (6.4; 23.50) pg/ml vs 5.9 (0.78; 13.1) pg/ml, p = 0.035. Subjects with BMI 30 kg/m2 had a significantly higher PSQI score than non-obese subjects: 7 (4.5; 10) vs 5.5 (3; 7), p = 0.043. T2DM patients showed significantly lower levels of melatonin than the control group: 6.1 (0.78; 12.2) pg/ml vs 17.8 (8.2; 25.5) pg/ml, p = 0.003. T2DM patients using short-acting insulin analogues showed a significantly higher PSQI score than patients not using insulin: 9 (6; 10) vs 6 (3; 8), respectively (p = 0.025). Poor sleep quality was more prevalent in patients with diabetic retinopathy than in those without this complication (p = 0.031). Lower melatonin levels were detected in T2DM and obese patients. Furthermore, poor sleep quality was observed in T2DM patients using short-acting insulin analogues and those with diabetic retinopathy, and obese individuals.


Author(s):  
Cristina Cabrera-Mino ◽  
Bhaswati Roy ◽  
Mary A. Woo ◽  
Matthew J. Freeby ◽  
Rajesh Kumar ◽  
...  

Author(s):  
Kawanna Vidotti Amaral ◽  
Maria José Quina Galdino ◽  
Júlia Trevisan Martins

Objective: to evaluate the association of the burnout syndrome with daytime sleepiness and sleep quality among technical-level Nursing students. Method: a cross-sectional, analytical and quantitative study, conducted with 213 students from four technical Nursing courses in a city of Paraná, Brazil. Data collection was carried out using an instrument containing characterization information, the Maslach Burnout Inventory - Student Survey, the Epworth Sleepiness Scale and the Pittsburgh Sleep Quality Index. The data were analyzed using descriptive statistics and logistic regression. Results: the prevalence values of the burnout syndrome, excessive daytime sleepiness and poor sleep quality were 4.7%, 34.7% and 58.7%, respectively. Excessive daytime sleepiness significantly increased the chances of high emotional exhaustion (ORadj: 5.714; p<0.001) and high depersonalization (ORadj: 4.259; p<0.001). Poor sleep quality, especially sleep disorders, was associated with all dimensions of the syndrome (p<0.05). Conclusion: high levels of the burnout syndrome dimensions were associated with excessive daytime sleepiness and poor sleep quality. Educational institutions should include sleep hygiene and psychosocial support in their student health promotion programs.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Dughyun Choi ◽  
Bo Yeon Kim ◽  
Chan-Hee Jung ◽  
Chul-Hee Kim ◽  
Jioh Mok

Abstract Aims Diabetic peripheral neuropathy (DPN) is one of the most common and early manifested complication in T2D. Previous reports have shown that painful sensation of diabetic peripheral neuropathy (DPN) results in sleep problems in type 2 diabetes (T2D)1, 2. However, it is not known that subtype of DPN, the painless DPN also is associated with poor sleep quality in T2D. The purpose of the current study was to investigate the association between painless DPN and poor sleep quality in T2D. Methods A total of 146 patients of T2D who did not previously diagnose with symptomatic DPN were recruited into the study. Among the patients, painless DPN was diagnosed by using the current perception threshold (CPT) test. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results The percentage of painless DPN was significantly higher in the poor sleep quality group than the good sleep quality group (70.0% vs. 35.5%, P&lt;0.001). In the subscale results, stimulus values in 2000 Hz, hypoesthesia and hyperesthesia were significantly higher in the poor sleep quality group, than in the good sleep quality group (45.7% vs. 25.0%, P=0.009; 34.3% vs. 18.4%, P=0.029; 40.0% vs. 19.7%, P=0.007, respectively). The association of painless DPN and poor sleep quality remained significant after adjustment for significant variants (odds ratio, 3.825; 95% confidence interval, 1.674-8.742; P&lt;0.001). Conclusions The current study showed that painless DPN was associated with poor sleep quality. Future studies are required to clarify the pathophysiologic causal relationship between painless DPN and sleep quality. References 1. Gore M, Brandenburg NA, Dukes E, Hoffman DL, Tai K-S, Stacey B. Pain severity in diabetic peripheral neuropathy is associated with patient functioning, symptom levels of anxiety and depression, and sleep. Journal of pain and symptom management. 2005;30(4): 374-385. 2. Zelman DC, Brandenburg NA, Gore M. Sleep impairment in patients with painful diabetic peripheral neuropathy. Clin J Pain. 2006;22(8): 681-685.


Author(s):  
Mayonara Fabíola Silva Araújo ◽  
Xaíze de Fátima de Medeiros Lopes ◽  
Carolina Virginia Macedo de Azevedo ◽  
Diego de Sousa Dantas ◽  
Jane Carla de Souza

Abstract: Introduction: Changes in the Sleep/Wake Cycle (SWC) of university students can have consequences on physical, mental and social health. In addition, some behaviors adopted at this stage may be associated with SWC impairment. Objective: Therefore, this study aims to identify which factors of social determinants of health (SDH) are associated with poor sleep quality and excessive daytime sleepiness (EDS) in university students. Method: This is a cross-sectional study that included 298 university students, aged between 18 and 35 years; 73.2% of the students were females and from the countryside of the state of Rio Grande do Norte, Brazil. Data were collected from the following questionnaires: Health and Sleep, Munich Chronotype Questionnaire, Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale. To assess the association of SDH with poor sleep quality and excessive daytime sleepiness, Poisson Regression with robust variance was performed. Result: The prevalence of poor sleep quality and excessive daytime sleepiness among the university students was 79.2% and 51.3%, respectively. Between the intermediate determinants of health, a higher prevalence rate of poor sleep quality was observed in students who reported health problems in the previous month (18.4%), smoked (23.5%), drank stimulating beverages close to bedtime (25.8%) and those who used electronic devices before bedtime during the week (18.4%) when compared to those who did not have these behaviors. Regarding excessive daytime sleepiness, students who justified bedtime during the week and wake-up time at the weekend because of the academic demand showed, respectively, 27% and 34% lower prevalence of EDS than the group that did not have these behaviors. Conclusions: The high prevalence of poor sleep quality and EDS observed among university students was associated to biological factors and most of them, behavioral factors.


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