Excessive daytime sleepiness in type 2 diabetes (original) (raw)
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PloS one, 2016
Type 2 diabetes (T2D) is an independent risk factor for sleep breathing disorders. However, it is unknown whether T2D affects daily somnolence and quality of sleep independently of the impairment of polysomnographic parameters. A case-control study including 413 patients with T2D and 413 non-diabetic subjects, matched by age, gender, BMI, and waist and neck circumferences. A polysomnography was performed and daytime sleepiness was evaluated using the Epworth Sleepiness Scale (ESS). In addition, 135 subjects with T2D and 45 controls matched by the same previous parameters were also evaluated through the Pittsburgh Sleep Quality Index (PSQI) to calculate sleep quality. Daytime sleepiness was higher in T2D than in control subjects (p = 0.003), with 23.9% of subjects presenting an excessive daytime sleepiness (ESS>10). Patients with fasting plasma glucose (FPG ≥13.1 mmol/l) were identified as the group with a higher risk associated with an ESS>10 (OR 3.9, 95% CI 1.8-7.9, p = 0.000...
Diabetes Care, 2013
OBJECTIVEdSleep-disordered breathing and sleepiness cause metabolic, cognitive, and behavioral disturbance. Sleep-disordered breathing is common in type 2 diabetes, a condition that requires adherence to complex dietary, behavioral, and drug treatment regimens. Hypoglycemia is an important side effect of treatment, causing physical and psychological harm and limiting ability to achieve optimal glycemic control. We hypothesized that sleep disorder might increase the risk of hypoglycemia through effects on self-management and glucose regulation.
Influence of Diabetes on Sleep Quality: A Literature Review (Atena Editora)
Influence of Diabetes on Sleep Quality: A Literature Review (Atena Editora), 2023
This study aims to analyze the relationship between sleep disorders, such as insomnia, excessive daytime sleepiness and sleep apnea, and diabetes. Through clinical trials and statistical data, the impacts of these disorders on the quality of life and glycemic control of individuals with diabetes were investigated. The results revealed that insomnia is associated with a higher risk of developing type 2 diabetes and interferes with glycemic control in diabetic patients. Excessive daytime sleepiness has been shown to be related to insulin resistance and higher prevalence of type 2 diabetes. Sleep apnea has been identified as a significant risk factor for the development of type 2 diabetes and negatively affects glycemic control in already diagnosed patients. The pathophysiological mechanisms underlying this relationship include hormonal changes, chronic low-grade inflammation, insulin resistance, and endothelial dysfunction. These factors act in concert, contributing to the onset and progression of diabetes. Early identification and adequate treatment of sleep disorders in patients with diabetes are essential to improve quality of life and reduce the risk of complications. In this context, therapeutic approaches such as cognitive behavioral therapy, the use of appropriate medications, and continuous positive airway pressure therapy have been shown to be effective in improving symptoms and controlling diabetes in patients with sleep disorders. The adoption of a healthy lifestyle, including regular physical activity, balanced diet, and stress management, also plays a crucial role in the management of these conditions. Given this evidence, it is critical that healthcare professionals are aware of the relationship between sleep disorders and diabetes in order to take an integrated approach to the care of these patients. Investments in further research are needed to deepen our understanding of the pathophysiological mechanisms involved and to develop more effective prevention and treatment strategies aimed at improving the quality of life and clinical outcomes of individuals with diabetes and sleep disorders. Keywords: Sleep disorders, insomnia, excessive daytime sleepiness, sleep apnea, diabetes, glycemic control, quality of life.
Prevalence of sleep disorder in type 2 diabetes Mellitus patients and it's related factors
Journal of Research & Health, 2015
There are some evidences for the decrease of sleep quality among diabetic patients. Because of negative impact of blood glucose on sleep disorders, we aimed at investigating The prevalence of sleep disorders in patients with type 2 diabetes and its related factors. This cross-sectional study was carried out on 507 patients with type 2 diabetes. For data collection valid and reliable questionnaire and the Pittsburgh sleep quality questionnaire were used. The data were analyzed by software SPS-20 and descriptive statistics. The prevalence of sleep disorders in this study was 50.7%. 65% of participants were women, and mean (standard deviation) age of patients were 57.37 (12.15). Sleep disorder score significantly higher in women than men, and the marital status, education, occupation, daily glibenclamide, a significant relationship was observed in other diseases, and improve sleep program.In this study the prevalence of sleep disorders in patients with diabetes was high. So it seems ne...
ASSESSMENT OF INDIVIDUAL SLEEP DISTURBANCES IN TYPE-2 DIABETES MELLITUS: AN INTERVENTIONAL STUDY
Background: Diabetes mellitus is a widespread disease, associated with rapid social and cultural changes, such as aging of population, urbanization, dietary changes, reduced physical activity, and unhealthy behaviours, leading to lower quality of life and decreased survival of affected individuals. This study aims to evaluate the sleep quality in patients with type 2 diabetes mellitus (T2DM), and to assess the relevance of other factors to sleep quality. Methods: A cross-sectional study was carried out at the Government general hospital, Ananthapuramu, during the period from December 2020 to May, 2021. A total of 384 patients with T2DM were recruited. Data were collected using the Pittsburgh sleep quality index (PSQI) and ESS to assess the sleep quality with a cutoff point of PSQI ≥ 8. Participants' demographic background data were also recorded. Statistical analysis was conducted by using graph pad prism. Results& discussion: Using Scale scores with cutoff point global PSQI ≥ 8 for sleep evaluationin our study, we found that 77.6% of T2DM patients suffer from poorsleep quality.Our study found that poor sleep quality was higher in employed diabeticpatients, as compared to unemployed patients.This study showed that diabetic patients on insulin treatment were 2.17times more likely to complain of poor sleep quality compared to patients receiving OHA only. Conclusions: Effectiveness of patient counselling by clinical pharmacist which improves the sleep quality. Thus patients reporting with sleep difficulties should be screened for diabetes. Type 2 diabetes patients with poor glycaemic control should be assessed for sleep disorders and if present it should be corrected to achieve optimum control of blood sugar levels.
Sleep Quality and Its Determinants Among Type 2 Diabetes Patients with Comorbid Metabolic Syndrome
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 2022
The prevalence of poor sleep quality in patients with diabetes was higher than the general population. This study aimed to explore risk factors for not only poor sleep quality, but also long sleep latency, short sleep duration and low sleep efficiency, in type 2 diabetes patients (T2DM) with comorbid metabolic syndrome (MS). Patients and Methods: A total of 281 patients aged 18-75 years were enrolled from Ningbo First Hospital during October 2021 to March 2022. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI). Sleep latency, sleep duration and sleep efficiency were obtained by a response to the questionnaire. Descriptive, independent two-sample t-test, Chi-square test and multiple logistic regression were conducted using SPSS Version 28. Results: The prevalence of poor sleep quality in T2DM with comorbid MS patients was 59.10%. The factors significantly associated with poor sleep quality were depression symptoms (OR = 3.10, 95% CI: 1.38 to 6.96, P = 0.006), poor quality of life (OR = 2.49, 95% CI: 1.24 to 4.99, P = 0.010), and age (OR = 1.07, 95% CI: 1.04 to 1.10, P < 0.001). The factor significantly associated with long sleep latency was depression symptoms (OR = 2.19, 95% CI: 1.15 to 4.16, P = 0.017). The factors significantly related to short sleep duration were depression symptoms (OR = 2.56, 95% CI: 1.31 to 5.00, P = 0.006) and age (OR = 1.05, 95% CI: 1.02 to 1.08, P = 0.002). The factor significantly related to short sleep efficiency was age (OR = 1.03, 95% CI: 1.01 to 1.06, P = 0.019). Conclusion: This study found that depression symptoms, together with poor quality of life, and increasing age were associated with poor sleep quality. Symptoms of depression were related to long sleep latency and short sleep duration. The increasing age was associated with short sleep duration and low sleep efficiency.
2012
Aim: The objective of this study was to determine the prevalence and to evaluate factors associated with excessive daytime sleepiness as a symptom of sleep apnea syndrome (SAS) in type 2 diabetic patients. Material and Methods: The Berlin Sleep Apnea (BSA) questionnaire was administered to 242 consecutive patients with type 2 diabetes and a body mass index (BMI) ≥30kg/m 2 . High or low risk was considered pathologic. Results: Twenty-two percent of diabetic obese patients had excessive daytime sleepiness. Compared with patients without daytime sleepiness, the median HbA1c was increased with 1.3% (p<0.001) in sleepy patients. Waist circumference (odds ratio:1.04, 95% CI (1.01-1.07), BMI (odds ratio: 1.1, 95%CI (1.04-1.18) and HbA1c (odds ratio 1.29, 95%CI (1.07-1.56) were significantly related to the presence of excessive daytime sleepiness. Conclusion: Excessive daytime sleepiness as a symptoms of suspected SAS is highly prevalent in patients with type 2 diabetes and should be sys...
Consequences of Sleep Deprivation in Adult Diabetes Mellitus Type 2 Patients: An Integrative Review
Open Access Macedonian Journal of Medical Sciences
BACKGROUND: Sleep deprivation in individuals with diabetes mellitus type 2 is more prevalent than in ordinary people. At present, the adverse effects of diabetes type 2 people with sleep disorders and sleep deprivation on blood sugar control are irrefutable. Thorough assessments covering the whole structure should be of concern in health-care treatment. It is precipitated and delivered to the physical, mental health, and social environment, but no systematic review or minimal data were published. Furthermore, it may significantly affect the system more than existing research. AIM: An integrative review aims to clarify the results or consequences of sleep disturbance/deprivation or insomnia symptoms among diabetes mellitus type 2 patients. METHODS: The writers implemented a literature search in PubMed, CINAHL, and Medline using the terms DM type 2, insomnia, adult, effect, DM, sleep disturbance, sleep disorder, and a consequence between 2012 and 2022. Inclusion criteria selected thro...
Poor Sleep Quality and Its Predictor Among Type 2 Diabetes Mellitus Patients
2022
Introduction Type 2 diabetes mellitus (DMT2) is a global health threat because it causes persistent hyperglycemia, resulting in various complications, one of which is sleep quality disorders. Sleep quality is related to a person's quality of life because it is related to health, psychological, sociodemographic, and lifestyle conditions and is influenced by various factors. Knowing the factors that affect sleep quality in T2DM patients can improve their quality of life by conducting early detection and intervention. This study aims to identify factors affecting sleep quality in T2DM patients. Methods This cross-sectional study was conducted on DMT2 patients who came to the Endocrine and Neurology Clinic at Hasan Sadikin Hospital Bandung from January to June 2022. All subjects were examined by the Pittsburgh Sleep Quality Index (PSQI) to measure sleep quality. Statistical analysis was conducted to compare the characteristics and risk factors. Results During the study period, 92 patients met the criteria with a mean age of 55±9 years, and most of them were female (n=59/92; 58.5%). There were 57 subjects (61.9%) suffering from poor sleep quality. Obesity (OR 2.33, 95% CI: 1.00 – 5.41) and diabetic neuropathy (OR 2.79 95% CI: 1.16 – 6.70) affect sleep quality. Conclusion Most DMT2 patients suffer from sleep disturbances. Obesity and diabetic neuropathy are factors that affect sleep quality in T2DM patients. Keywords Diabetes mellitus, sleep quality, PSQI
Daytime sleepiness in patients with type 2 Diabetes Mellitus – a prospective cohort study
International Archives of Medicine, 2016
Introduction: Daytime sleepiness is an independent factor for increased health care utilization and all cause mortality. Diabetic patients are more likely to be sleepy during the daytime than non-diabetics. Objectives: To examine factors influencing the evolution of daytime sleepiness in patients with type 2 diabetes (T2D) in a two-year followup study. Methods: Patients (N=145) aged from 40 to 60 of both genders were consecutively recruited and evaluated for comorbidity severity (Charlson Comorbidity Index), depressive symptoms (Beck Depression Inventory, BDI II), sleep quality (Pittsburgh Sleep Quality Index) and physical activity levels (International Physical Activity Questionnaire, IPAQ). Daytime sleepiness was assessed by the Epworth Sleepiness Scale (ESS). Results: Excessive daytime sleepiness (ESS>10) was found in 51 (35.2%) patients. At baseline, men had more excessive daytime sleepiness; however, women evolved with more sleepiness after two years. Levels of physical activity were independently associated with excessive daytime sleepiness: patients with a sedentary lifestyle developed worse levels of daytime sleepiness after two years. Active lifestyle was more beneficial for reducing daytime sleepiness in women. In this study, among all patients, levels of physical activity (IPAQ) improved after two years. Conclusion: Excessive daytime sleepiness affects approximately 1/3 of T2D patients and women evolve with more sleepiness. Better levels of physical activity are independently associated with less daytime sleepiness. Implementing physical exercise possibly break a chain involving sleep-wake alterations and comorbidites in T2D. Gender differences show that these effects are more important for women.