Excessive daytime sleepiness in type 2 diabetes

The prevalence of excessive daytime sleepiness and associated factors in older diabetic patients

OBJECTIVES

Sleep disorders are a frequent health problem in older patients with diabetes mellitus (DM). There has been no study investigating the factors associated with excessive daytime sleepiness (EDS) in older diabetic patients. We aimed to investigate the prevalence and associated factors of EDS.

METHODS

We performed a retrospective cross-sectional study in older diabetic patients. The Epworth Sleepiness Scale score of ≥ 11 points indicated EDS. All patients underwent comprehensive geriatric assessment including demographic characteristics, blood pressures, comorbid diseases, cognitive and nutritional states, basic and instrumental daily living activity indexes, lower urinary tract symptoms, and laboratory values.

RESULTS

Of 227 patients, 73.1% were females, with a mean age of 78.8 ± 6.5. The prevalence of EDS was 19.8%. Patients with EDS were mostly males with dementia and used significantly more medication with more anticholinergic drug burden, falls, urge incontinence, and nocturia (p < 0.05). They had higher SARC-F and lower Barthel index, Lawton-Brodie, Tinetti, MMSE scores, and high-density lipoprotein than the patients without EDS (p < 0.05). After adjusting for age, sex, and dementia, all parameters that were significant in univariate analysis remained associated with EDS, except for falls, and MMSE scores.

CONCLUSION

The EDS was found in one in five older diabetic patients. There was a significant relationship between EDS and drug use, anticholinergic drug burden, impaired excretory functions, sarcopenia, decreased functional capacity, falls, gait-balance disorder, and cognitive dysfunction. The recognization of EDS and the implementation of interventions may be helpful in the management of geriatric syndromes.

Self-reported sleepiness associates with greater brain and cortical volume and lower prevalence of ischemic covert brain infarcts in a community sample

STUDY OBJECTIVES

We evaluated if self-reported sleepiness was associated with neuroimaging markers of brain aging and ischemic damage in a large community-based sample.

METHODS

Participants from the Framingham Heart Study Offspring cohort (n = 468, 62.5 ± 8.7 years old, 49.6%M) free of dementia, stroke, and neurological diseases, completed sleep questionnaires and polysomnography followed by magnetic resonance imaging (MRI), 3 years later on average. We used linear and logistic regression models to evaluate the associations between Epworth Sleepiness Scale (ESS) scores and total brain, cortical and subcortical gray matter, and white matter hyperintensities volumes, and the presence of covert brain infarcts.

RESULTS

Higher sleepiness scores were associated with larger total brain volume, greater cortical gray matter volume, and a lower prevalence of covert brain infarcts, even when adjusting for a large array of potential confounders, including demographics, sleep profiles and disorders, organic health diseases, and proxies for daytime cognitive and physical activities. Interactions indicated that more sleepiness was associated with larger cortical gray matter volume in men only and in APOE ε4 noncarriers, whereas a trend for smaller cortical gray matter volume was observed in carriers. In longitudinal analyses, those with stable excessive daytime sleepiness over time had greater total brain and cortical gray matter volumes, whereas baseline sleepiness scores were not associated with subsequent atrophy or cognitive decline.

CONCLUSION

Our findings suggest that sleepiness is not necessarily a marker of poor brain health when not explained by diseases or sleep debt and sleep disorders. Rather, sleepiness could be a marker of preserved sleep-regulatory processes and brain health in some cases.

Prevalence of restless legs syndrome in people with diabetes mellitus: A pooling analysis of observational studies

BACKGROUND

Diabetes mellitus (DM) is associated with different clinical complications. The aim of this study was to explore the prevalence of RLS in people with diabetes mellitus and compare the risk of restless leg syndrome (RLS) between diabetic and non-diabetic population.

METHODS

We searched for studies of RLS prevalence in DM through PubMed, Embase, and Web of Science. Two authors independently completed the literature screening, data extraction, and bias risk assessment of eligible studies. All observational studies that assessed the prevalence or risk of RLS in DM were included, where the diagnosis of RLS was based on the International Restless Legs Syndrome Study Group (IRLSSG). Percentages, odds ratio (OR) with 95% confidence intervals (CI) were used to assess pooled estimates of RLS prevalence and risk based on random-effects models. Newcastle-Ottawa-scale (NOS) or a modified NOS were used to evaluate the quality of studies.

FINDINGS

A total of 42 studies, including 835,986 participants, met the eligibility criteria for the meta-analysis. Among them, 30 studies were included in meta-analysis to analyze the prevalence of RLS. A second meta-analysis was conducted using 31 studies to determine RLS risk between diabetes and non-diabetes. The results indicate that between 25% (95% confidence interval 21%-29%) of people with diabetes showed signs of RLS, and people with diabetes had an increased risk of developing RLS compare to people without diabetes (OR 1.98, 95%CI 1.66- 2.34, p < 0.001). However, the available evidence was limited due to potential risk of bias and variability between studies (I² >75%), all of observational design.

INTERPRETATION

Our study suggests that the prevalence and risk of RLS might be higher in DM patients than in non-diabetes population. However, given limitations in the analysis and study design, the findings need to be corroborated in future studies.

FUNDING

This work was supported by the Basic Conditions Platform Construction Project of Sichuan Science and Technology Department (2019JDPT0015), and the "1・3・5 project for disciplines of excellence, West China Hospital, Sichuan University" (ZYJC18003).

The association between Diabetes and Excessive Daytime Sleepiness among American adults aged 20-79 years: Findings from the 2015-2018 National Health and Nutrition Examination Surveys

PURPOSE

To examine the association between diabetes and EDS.

METHODS

Using the 2015-2018 cycles of the National Health and Nutrition Examination Survey, we applied survey-featured modified Poisson regression to estimate the association between diabetes and EDS among American adults aged 20-79 years, adjusting for confounding demographic, clinical and lifestyle variables. Effect modification by age, sex, race, education, income, sleep apnea and inadequate sleep was assessed. We performed sensitivity analyses using propensity score matched (PS) data and applied ordinal logistic regression using multiple levels of daytime sleepiness. Among people with diabetes, we assessed the association between EDS and diabetes-care variables.

RESULTS

Of the 6,289 participants, 895 (10%) had diabetes. The estimated prevalence of EDS was higher among adults with diabetes (30.6%) than counterparts without diabetes (26.3%). After adjusting for confounding variables, diabetes remained associated with EDS (aPR:1.20; 95%CI:1.06 1.36). There was no statistically significant effect modification. Sensitivity analyses confirmed our main results. Among people with diabetes, there was limited evidence that the diabetes-care variables were related to EDS.

CONCLUSIONS

Among American adults, diabetes is associated with EDS after controlling for confounding variables. Although the cross-sectional design is a limitation, our findings support further exploration of the role of diabetes in EDS.

Predicting and preventing diabetes: Translational potential of Ayurveda information on pre-diabetes

Continued rise in incidence and prevalence of diabetes globally warrants an effective strategy for its prevention and control. Prevention of diabetes seems more logical to attempt seeing its health care burden, long dormancy, systemic affliction and poor general awareness.

Pre-diabetes is the intermediate state of erratic glucose metabolism without overt features of diabetes. This state seems to be a crossroad having a possibility to either convert into clinical diabetes, remain dormant or return to normal glucose control depending upon the efforts made. Unfortunately, due to the paucity of apparent clinical symptoms, this state embedded with reversal possibility, remains unexplored. Ayurveda account of prameha purvarupa (subclinical features of diabetes) may be proposed as the foundation upon which clinic-based pre-diabetes identification and subsequent prevention may be explored. Knowing the symptoms for their reliable proximity with upcoming diabetes may turn to be sensible sensitizers prompting the people to abort the disease process in an effective and timely manner. Considering diabetes from its purvarupa to complications as disease continuum and exploring the opportunities to intervene in order to prevent, or manage the disease on the basis of shada kriyaa kaala therefore, has a huge translational potential warrants an urgent exploration.

Sleep Quality and Associated Factors in Adults with Type 2 Diabetes: A Retrospective Cohort Study

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.

Excessive Daytime Sleepiness in Depression and Obstructive Sleep Apnea: More Than Just an Overlapping Symptom

Excessive daytime sleepiness (EDS) is a significant public health concern, with obstructive sleep apnea (OSA) being a common cause, and a particular relationship exists with the severity of depression. A literature search on OSA, depression, and EDS was performed in PubMed. The chosen evidence was limited to human studies. Available evidence was systematically reviewed to ascertain the association of EDS with depression and OSA according to the general population and some specific population subgroups. In addition, effectiveness of continuous positive airway pressure (CPAP) was analyzed as a standard therapy for improving EDS and depression in patients with OSA. In the general population, patients with OSA, and some other subpopulations, the review contributed to: (1) delineating the prevalence of EDS; (2) substantiating the relationship of EDS and depression; (3) presenting the relationship between EDS and OSA; and (4) revealing that the duration of CPAP is crucial for its therapeutic effects in improving EDS and depressive symptoms in patients with OSA.

Health-related quality of life and sleep quality among North Indian type 2 diabetes mellitus patients: evidence from a cross-sectional study

OBJECTIVE

The objective of this study is to measure the relationship between sleep quality and health-related quality of life (HRQOL), in Indian population with type 2 diabetes mellitus (T2DM).

METHODS

A cross-sectional study, included a total of 300 patients with T2DM. All participants were responding to the Pittsburgh Sleep Quality Index (PSQI) and European Quality of Life-5 Dimensions Questionnaire (EQ-5D). A PSQI global score ≥5 was defined as poor sleep quality. EQ-5D visual analogue scale (VAS), determining the overall health status. Logistic regression analysis was used to examine the association between PSQI and EQ-5D. All the study data were analysed using the SPSS software version 20.0. Values of p < 0.05 were considered statistically significant.

RESULTS

The mean age of included participants were 55.29. Majority of the participants (55.3%) were identified as "poor sleepers" and female (31.3%) contributing higher proportion. Poor sleepers had significantly lower the HRQoL (p < 0.001). After adjustment, poor sleep quality was significantly associated with a lower HRQoL; EQ-5D index (OR = 1.080, 95%, CI: 1.015-1.148, p < 0.05), and EQ-5D VAS (OR = 1.092, 95%, CI: 1.021-1.176, p < 0.01). Overall, the EQ-5D index and EQ-5D VAS were found to be an independent predictors of sleep quality.

CONCLUSIONS

Poor sleep quality is prevalent in Indian T2DM population, and it imparts negative impact on several dimensions of EQ-5D that characterising the daily activities performance. Therefore, further real-world studies are needed to determine the causal relationship between T2DM patients and measure of objective sleep and their impact on health.

A comparison of diabetes self-care behavior in people with type 2 diabetes with and without insomnia symptoms

AIMS

Individuals with type 2 diabetes (T2DM) are advised to undertake diabetes self-care behavior (DSCB) in order to avoid complications of T2DM. However, comorbidities, such as insomnia symptoms which are commonly reported in people with T2DM, may limit the ability to engage in DSCB. Insomnia and the common sequelae accompanying insomnia such as pain, depression, and anxiety may negatively influence the performance of DSCB. Therefore, this study aimed to compare the DSCB of people with T2DM with and without insomnia symptoms.

METHODS

Sixty participants with T2DM were divided into two groups based on the presence of insomnia symptoms: T2DM-only group and T2DM+ insomnia group. Insomnia symptoms were identified using the Insomnia Severity Index (ISI). DSCB was assessed using the Diabetic Care Profile (DCP). A standardized composite score was established to account for all of the DCP domains. Chi-square and independent sample t tests were used to assess between-group differences in categorical and continuous variables, respectively. Stepwise linear regression analysis used the ISI score to predict standardized DCP composite score, while controlling for covariates.

RESULTS

Significant between-group differences were found in age, symptoms of pain, depression, and anxiety. The total DCP composite score was significantly lower in the T2DM+ insomnia group compared to the T2DM-only group (- 0.30 ± 0.46 vs. 0.36 ± 0.48, respectively, p < 0.001) with large effect size (g = 1.40). Stepwise linear regression results showed that a 1-point increase in ISI score significantly predicted a .03-point decrease in standardized DCP composite score, after controlling for age, symptoms of pain, depression, and anxiety (β = - 0.03, p = 0.04).

CONCLUSIONS

The data suggest that people with T2DM and insomnia symptoms had worse scores on the majority of the DSCB domains and a worse DCP composite score compared to people with T2DM only. The data suggest a negative association between insomnia severity and DSCB among people with T2DM. Further research using a larger sample size and more rigorous research design is required to examine the causal relationship between insomnia symptoms and DSCB.

Depressive symptoms mediate the relationship between sleep disturbances and type 2 diabetes mellitus

BACKGROUND

The current study aimed at examining whether individuals diagnosed with type 2 diabetes mellitus (T2DM) have more severe sleep disturbances compared to individuals who are healthy or have prediabetes and whether depressive symptoms mediate the relationship between sleep disturbances and having T2DM.

METHODS

T2DM patients (n = 107) were compared to individuals with prediabetes (n = 48) and healthy individuals (n = 154) regarding the severity of depressive symptoms, measured via the Beck Depression Inventory-II (BDI-II), and sleep disturbances, measured via the Mini Sleep Questionnaire (MSQ). Mediation analysis examined whether depressive symptoms mediated the relationship between sleep disturbances and T2DM.

RESULTS

Compared to healthy individuals and individuals with prediabetes, T2DM patients had more depressive symptoms and higher levels of insomnia, hypersomnia, and overall more sleep disturbances. The prediabetes group did not differ from the healthy control group on these measures, and these groups were thus combined for further analysis. Sleep disturbances were correlated with severity of depressive symptoms (r =0.43). After controlling for age, gender, and ethnic background, both severity of sleep disturbances (odds ratio [OR]: 1.04; 95% CI: 1.01-1.07, P <.001) and severity of depressive symptoms (OR: 8.54, 95% CI: 3.37-21.69, P <.001) predicted T2DM. Depression symptoms mediated the relationship between sleep disturbances and T2DM, whereas the direct relationship between sleep disturbances and T2DM was nonsignificant.

CONCLUSIONS

The findings imply that sleep disturbances may contribute to the development and progression of T2DM by promoting depressive symptoms. Thus, treatments for the emotional distress associated with sleep disturbances may help reduce the risk for T2DM and the progression of the disease.

The association between sleep and diabetes outcomes - A systematic review

AIM

This study aimed to systematically review the prevalence of diagnosed sleep disorders in people with diabetes and to determine the association between sleep disorders and blood glucose levels and diabetes outcomes.

METHODS

We conducted a literature search in the following databases: MEDLINE (Pubmed), EMBASE, CINAHL, PsychInfo and Web of Science Citation Index. Meta-analysis (random-effects models) was conducted to estimate the prevalence of sleep disorders in people with diabetes.

RESULTS

Forty-one articles measured the prevalence of sleep disorders in adults with diabetes. The estimated pooled prevalence of sleep disorders in diabetes was estimated to be 52% (95% CI 42-63%). The highest pooled prevalence was observed for unspecified sleep apnea (69%; 95% CI: 59-78%), followed by obstructive sleep apnea (60%; 95% CI 39-80%), and restless leg syndrome (27%; 95% CI 20-34%). Eleven studies examined the association between sleep disorders and diabetes control and complications. The presence of comorbid sleep disorders was associated with increased diabetes outcomes.

CONCLUSIONS

Diagnosed sleep disorders are highly prevalent in people with diabetes. Sleep disorders are associated with diabetes outcomes, though there was considerable heterogeneity across studies.

Prevalence of Insomnia (Symptoms) in T2D and Association With Metabolic Parameters and Glycemic Control: Meta-Analysis

OBJECTIVE

We aimed to determine the prevalence of insomnia and insomnia symptoms and its association with metabolic parameters and glycemic control in people with type 2 diabetes (T2D) in a systematic review and meta-analysis.

DATA SOURCES

A systematic literature search was conducted in PubMed/Embase until March 2018.

STUDY SELECTION

Included studies described prevalence of insomnia or insomnia symptoms and/or its association with metabolic parameters or glycemic control in adults with T2D.

DATA EXTRACTION

Data extraction was performed independently by 2 reviewers, on a standardized, prepiloted form. An adaptation of Quality Assessment Tool for Quantitative Studies was used to assess the methodological quality of the included studies.

DATA SYNTHESIS

When possible, results were meta-analyzed using random-effects analysis and rated using Grading of Recommendations Assessment, Development and Evaluation (GRADE).

RESULTS

A total of 11 329 titles/abstracts were screened and 224 were read full text in duplicate, of which 78 studies were included. The pooled prevalence of insomnia (symptoms) in people with T2D was 39% (95% confidence interval, 34-44) with I2 statistic of 100% (P < 0.00001), with a very low GRADE of evidence. Sensitivity analyses identified no clear sources of heterogeneity. Meta-analyses showed that in people with T2D, insomnia (symptoms) were associated with higher hemoglobin A1c levels (mean difference, 0.23% [0.1-0.4]) and higher fasting glucose levels (mean difference, 0.40 mmol/L [0.2-0.7]), with a low GRADE of evidence. The relative low methodological quality and high heterogeneity of the studies included in this meta-analysis complicate the interpretation of our results.

CONCLUSIONS

The prevalence of insomnia (symptoms) is 39% (95% confidence interval, 34-44) in the T2D population and may be associated with deleterious glycemic control.

Active Time-Restricted Feeding Improved Sleep-Wake Cycle in db/db Mice

People with diabetes are more likely to experience sleep disturbance than those without. Sleep disturbance can cause daytime sleepiness in diabetic patients, which may impair their daytime performance or even lead to workplace injuries. Therefore, restoring the normal sleep-wake cycle is critical for diabetic patients who experience daytime sleepiness. Previous data on a diabetic mouse model, the db/db mice, have demonstrated that the total sleep time and sleep fragmentation are increased and the daily rhythm of the sleep-wake cycle is attenuated. Accumulating evidence has shown that active time-restricted feeding (ATRF), in which the timing of food availability is restricted to the active-phase, is beneficial to metabolic health. However, it is unknown whether ATRF restores the normal sleep-wake cycle in diabetes. To test that, we used a non-invasive piezoelectric system to monitor the sleep-wake profile in the db/db mice with ad libitum feeding (ALF) as a baseline and then followed with ATRF. The results showed that at baseline, db/db mice exhibited abnormal sleep-wake patterns: the sleep time percent during the light-phase was decreased, while during the dark-phase it was increased with unusual cycling compared to control mice. In addition, the sleep bout length during both the light-phase and the full 24-h period was shortened in db/db mice. Analysis of the sleep-wake circadian rhythm showed that ATRF effectively restored the circadian but suppressed the ultradian oscillations of the sleep-wake cycle in the db/db mice. In conclusion, ATRF may serve as a novel strategy for treating diabetes-induced irregularity of the sleep-wake cycle.

Excessive daytime sleepiness and its impact on quality of life in de novo Parkinson's disease

Excessive daytime sleepiness (EDS) is one of the most common sleep problems in patients with Parkinson's disease (PD); however, its clinical implications are not clear, especially in early stage, non-medicated PD patients. This study investigated EDS in Korean patients with de novo PD and its impact on quality of life. This cross-sectional study was carried out with 198 PD patients who underwent a structured clinical interview and examination based on common and conventional scales. Motor and nonmotor symptoms were assessed by the Unified Parkinson's Disease Rating Scale (UPDRS) and Non-Motor Symptoms Scale (NMSS). EDS was evaluated with the Epworth Sleepiness Scale (ESS), the nocturnal disabilities and nighttime sleep problems were assessed with Parkinson's Disease Sleep Scale 2nd version, and quality of life was measured with the Parkinson's Disease Quality of Life 39 (PDQ-39). The relationships between ESS score and each scale were investigated. Among the patients studied, 42 patients had EDS defined as ESS > 10. Patients with EDS had a higher motor burden, greater nocturnal disabilities, more severe non-motor symptoms, and lower quality of life than did patients without EDS. Partial correlations revealed that ESS score was related to PDQ-39 summary index, irrespective of age, body mass index, or disease duration. These results show that EDS can have an immense negative impact on quality of life. The causes of EDS are multifactorial, which complicates its treatment. Further investigations are required to determine the safety and efficacy of potential EDS therapies and to develop novel EDS treatments in PD.

SLEep among diabetic patients and their GlycaEmic control (SLEDGE): A pilot observational study

BACKGROUND

Recent cohort studies have proven the association between sleep deprivation and adverse glycemic control (GC). The aim of this study was to assess the prevalence of excessive daytime sleepiness (EDS), a subjective measure of sleep deprivation, among type 2 diabetic mellitus (T2DM) patients and its association with GC.

METHODS

This cross-sectional study was conducted between July 2015 and June 2016 in five diabetes clinics in the district of Erode, Tamil Nadu, India. An equal number of consenting patients with T2DM was recruited consecutively from each of the centers, and EDS was measured subjectively using the Epworth sleepiness scale (ESS), whereas GC was assessed using HbA1c levels.

RESULTS

In all, 126 patients were screened and 102 were found eligible for the study. The prevalence of EDS was 17.5% (95% confidence interval 10.13-24.87). The association between ESS scores and HbA1c levels was analyzed using linear regression after adjusting for age, dietary intake, inflammatory markers (erythrocyte sedimentation rate), depression (Patient Health Questionnaire-9 score) and stress (Perceived Stress Scale score): for every unit increase in the ESS score, HbA1c increased by 0.143 g/dL (P < 0.001).

CONCLUSION

Subjective EDS was seen in approximately one-quarter of patients with diabetes in our population. There was a positive association between EDS and glycemic control. Screening of patients with diabetes for EDS should be part of routine diabetes management.

Factors associated with diabetes-related distress over time among patients with T2DM in a tertiary hospital in Singapore

BACKGROUND

Persistent diabetes-related distress (DRD) is experienced by patients with Type 2 Diabetes Mellitus. Knowing factors associated with persistent DRD will aid clinicians in prioritising interventions efforts.

METHODS

A total of 216 patients were recruited from a tertiary hospital in Singapore, an Asian city state, and followed for 1.5 years (2011-2014). Data was collected by self-completed questionnaires assessing DRD (measured by the Problem Areas in Diabetes score) and other psychosocial aspects such as social support, presenteeism, depression, health-related quality of life (HRQoL) and excessive daytime sleepiness (EDS) at three time points. Clinical data (body-mass-index and glycated haemoglobin) was obtained from medical records. Change score was calculated for each clinical and psychosocial variable to capture changes in these variables from baseline. Generalized Linear Model with Generalized Estimating Equation method was used to assess whether baseline and change scores in clinical and psychosocial are associated with DRD over time.

RESULTS

Complete data was available for 73 patients, with mean age 44 (SD 12.5) years and 67% males. Persistent DRD was experienced by 21% of the patients. In the final model, baseline HRQoL (OR = 0.56, p < 0.05) and change score of EDS (OR = 1.22, p < 0.05) was significantly associated with DRD over time.

CONCLUSIONS

EDS might be a surrogate marker for persistent DRD and should be explored in larger samples of population to confirm the findings from this study.

Obstructive sleep apnoea and the need for its introduction into dental curricula

Obstructive sleep apnoea (OSA) is a major health problem which causes blood oxygen desaturation that may initiate a cascade of events via inflammatory cytokines and adrenocorticotrophic hormone that may have impact upon quality of life and lead to potential life-threatening events. Even though OSA affects an increasing number of individuals, the role of dental practitioners in recognition, screening and management has not developed accordingly. The goal of this article was to provide updated information to dental practitioners on pathophysiology, consequences and treatment options of OSA with a focused discussion on oral appliance (OA) therapy, as this topic is not routinely included in current dental curricula of many dental schools. Additionally, we present a template dental curriculum for predoctoral and/or postdoctoral students in education regarding sleep disordered breathing.

Prevalence of self-reported sleep duration and sleep habits in type 2 diabetes patients in South Trinidad

The present study aims to determine the prevalence of self-reported sleep duration and sleep habits and their associated factors in patients with type 2 diabetes in Trinidad. This was a cross-sectional multicenter study. There were 291 patients with type 2 diabetes studied. Sleep habits were assessed using the Epworth Sleepiness Scale (ESS) and the National Health and Nutrition Examination Survey sleep disorder questionnaire. Demographic, anthropometric and biochemical data were also collected. The sample had a mean age of 58.8 years; 66.7% were female. The mean BMI was 28.9 kg/m(2). The prevalence of Excessive Daytime Sleepiness (EDS) was 11.3%. The prevalence of patients with short sleep (⩽6h) was 28.5%. The prevalence of patients with poor sleep was 63.9%. Poor sleep was associated with age, intensive anti-diabetic treatment and longer duration of diabetes. Short sleep was associated with intensive anti-diabetic treatment and BMI, while EDS was associated with increased BMI. In a sample of patients with type 2 diabetes, a high prevalence of self-reported sleep duration and unhealthy sleep habits was found. There needs to be an increased awareness of sleep conditions in adults with type 2 diabetes by doctors caring for these patients.

Subjective sleep impairment in adults with type 1 or type 2 diabetes: Results from Diabetes MILES--The Netherlands

AIMS

Despite growing recognition of the impact of sleep on diabetes, a clear profile of people with diabetes regarding subjective sleep impairment has yet to be established. This study examines: (1) subjective sleep characteristics in adults with type 1 and type 2 diabetes; (2) the relationship of poor subjective sleep quality with glycaemic control, self-care and daytime functioning; (3) possible risk markers for poor sleep quality.

METHODS

In a cross-sectional study, Dutch adults with type 1 (n=267) or type 2 diabetes (n=361) completed an online survey, including the Pittsburgh Sleep Quality Index (PSQI), socio-demographic, clinical, self-care and psychological measures.

RESULTS

Poor sleep quality (PSQI-score >5) was reported by 31% of adults with type 1 and 42% of adults with type 2 diabetes. Participants with good and poor sleep quality did not differ in self-reported HbA1c or the frequency of meeting lifestyle recommendations. Poor sleep quality was related to a higher self-care burden and higher levels of daytime sleepiness, fatigue, depressive and anxiety symptoms, and diabetes-specific distress. In multivariable logistic regression analyses examining risk markers, poor sleep quality was associated with depressive symptoms in adults with type 1 (OR=1.39, 95% CI 1.25-1.54) and type 2 diabetes (OR=1.31, 1.16-1.47), and with being female in those with type 2 diabetes (OR=2.72, 1.42-5.20).

CONCLUSIONS

Poor subjective sleep quality is prevalent both in adults with type 1 and type 2 diabetes, and is related to poor daytime functioning and higher self-care burden. The temporal relation with depression and merits of therapy should be explored.

The nature of excessive sleepiness and sudden sleep onset in Parkinson׳s disease

Objectives

Excessive daytime sleepiness (EDS) and sudden sleep onset (SOS) episodes are frequent in Parkinson׳s disease (PD). The objectives are to identify clinical characteristics and factors associated with EDS and SOS episodes.

Methods

Clinical demographic data were recorded (N=100, mean age=65.0±10.4). EDS was identified by the Epworth Sleepiness Scale (ESS>10) and SOS episodes were registered. Disease severity was evaluated by the Unified Parkinson׳s Disease Rating Scale (UPDRS, I, II, and III), sleep disturbances by the Parkinson׳s Disease Sleep Scale (PDSS<100), depressive symptoms by the Beck Depression Inventory (BDI>10) and rapid eye movement (REM) sleep behavior disorder (RBD) by the REM sleep behavior scale. Levodopa equivalent dose was measured.

Results: PD patients with EDS (67%) were predominately male (73.1%) and had worse disease severity (UPDRS II and III p= 0.005); SOS episodes (39%) were associated with disease duration, diabetes, sleep disturbances (PDSS Scale), disease severity (UPDRS I, II, III) and RBD symptoms (p<0.05). Stepwise regression analysis showed that EDS was independently associated with motor-symptoms severity (UPDRS III scale, p=0.003). SOS episodes were independently associated with disease duration (p=0.006) and sleep disturbances (PDSS scale, p=0.03): patients had more uncomfortable immobility at night, tremor on waking and snoring or difficult breathing.

Discussion

EDS and or SOS episodes are frequent and manifest a differential pattern in PD. SOS episodes are associated with longer disease duration, diabetes, sleep disturbances and RBD symptoms indicating that these “sleep attacks” are of multifactorial origin and probably influenced by brain structural abnormalities.