Dysregulated 24 h melatonin secretion associated with intrinsically photosensitive retinal ganglion cell function in diabetic retinopathy: a cross-sectional study.

AIMS/HYPOTHESIS: The aim of this study was to explore whether diabetic retinopathy is associated with alterations of the circadian system, and to examine the role of reduced intrinsically photosensitive retinal ganglion cell (ipRGC) function. METHODS: Participants with type 2 diabetes, with diabetic retinopathy (n=14) and without diabetic retinopathy (n=9) underwent 24 h blood sampling for melatonin and cortisol under controlled laboratory conditions. ipRGC function was inferred from the post-illumination pupil response (PIPR). Habitual sleep duration, efficiency and variability were assessed by actigraphy. RESULTS: Participants with diabetic retinopathy compared to participants without diabetic retinopathy had smaller PIPR (p=0.007), lower 24 h serum melatonin output (p=0.042) and greater day-to-day sleep variability (p=0.012). By contrast, 24 h cortisol profiles, sleep duration and efficiency were similar in both groups. Six individuals with diabetic retinopathy had no detectable dim-light melatonin onset. PIPR correlated with 24 h mean melatonin levels (r=0.555, p=0.007). CONCLUSIONS/INTERPRETATION: ipRCG dysfunction in diabetic retinopathy is associated with disruptions of the 24 h melatonin rhythm, suggesting circadian dysregulation in diabetic retinopathy.

Sleep extension and cardiometabolic health: what it is, possible mechanisms and real-world applications.

Short sleep duration is associated with heightened cardiometabolic disease risk and has reached epidemic proportions among children, adolescents and adults. Potential mechanisms underlying this association are complex and multifaceted, including disturbances in circadian timing, food intake and appetitive hormones, brain regions linked to control of hedonic eating, physical activity, an altered microbiome and impaired insulin sensitivity. Sleep extension, or increasing total sleep duration, is an emerging and ecologically relevant intervention with significant potential to advance our understanding of the mechanisms underlying the association between short sleep duration and the risk of cardiometabolic disease. If effective, sleep extension interventions have potential to improve cardiometabolic health across the lifespan. Existing data show that sleep extension is feasible and might have potential cardiometabolic health benefits, although there are limitations that the field must overcome. Notably, most existing studies are short term (2-8 weeks), use different sleep extension strategies, analyse a wide array of cardiometabolic health outcomes in different populations and, frequently, lack adequate statistical power, thus limiting robust scientific conclusions. Overcoming these limitations will require fully powered, randomized studies conducted in people with habitual short sleep duration and existing cardiometabolic risk factors. Additionally, randomized controlled trials comparing different sleep extension strategies are essential to determine the most effective interventions. Ongoing and future research should focus on elucidating the potential cardiometabolic health benefits of sleep extension. Such studies have high potential to generate crucial knowledge with potential to improve health and quality of life for those struggling with short sleep duration.

Impact of irregular sleep pattern, and sleep quality on glycaemic parameters and endothelial function in adolescents and young adults with type 1 diabetes.

This study investigated the impact of comprehensive sleep patterns on glycaemic parameters and endothelial function in adolescents and young adults with type 1 diabetes (T1D). Thirty subjects with type 1 diabetes (aged 13-25) without chronic complications participated. For 1 week, glucose levels were monitored by real-time continuous glucose monitoring (CGM) and sleep was simultaneously assessed by actigraphy. Subjective sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Flow-mediated dilatation (FMD) measured endothelial function at the brachial artery. Insulin sensitivity was determined by calculated estimated glucose disposal rate (eGDR). Glycaemic control was assessed using haemoglobin A1C (HbA1C) levels. To address potential confounding by metabolic syndrome on the FMD results, three affected subjects were excluded from FMD correlation analyses. Participants with PSQI scores >5 had a lower %FMD compared with those with scores ≤5 (4.6 ± 3.7% vs. 7.6 ± 3.0%, p = 0.03). Multivariate analysis indicated that lower sleep efficiency and higher sleep duration variability were associated with higher HbA1C levels (ß = -0.076, 95%CI [-0.145, -0.008], p = 0.029; ß = 0.012, 95%CI [0.001, 0.023], p = 0.033). Irregular sleep timing and lower sleep efficiency were related to decreased insulin sensitivity (sleep midpoint irregularity ß = -1.581, 95%CI [-2.661, -0.502], p = 0.004, and sleep efficiency ß = 0.147, 95%CI [0.060, 0.235], p = 0.001). No significant associations were found between glycaemic parameters and FMD. Our study demonstrated that sleep irregularity in type 1 diabetes was associated with glycaemic control and insulin resistance, while poor subjective sleep quality was linked to endothelial dysfunction. Promoting healthy sleep habits, including consistent sleep timing could benefit metabolic and cardiovascular health in type 1 diabetes.

Greater sleep variability is associated with higher systemic inflammation in type 2 diabetes.

Sleep irregularity and variability have been shown to be detrimental to cardiometabolic health. The present pilot study explored if higher day-to-day sleep irregularity and variability were associated with systemic inflammation, as assessed by high-sensitivity C-reactive protein, in type 2 diabetes. Thirty-five patients with type 2 diabetes (mean age 54.3 years, 54.3% female) who were not shift-workers participated. The presence of diabetic retinopathy was determined. The standard deviation of sleep duration and sleep midpoint across all recorded nights were used to quantify sleep variability and regularity, respectively, assessed by 14-day actigraphy. The presence and severity of sleep apnea were assessed using an overnight home monitor. Low-density lipoprotein, haemoglobin A1C and high-sensitivity C-reactive protein were collected. Multiple regression analysis using natural-log-transformed values was performed to establish an independent association between sleep variability and high-sensitivity C-reactive protein. Twenty-two (62.9%) patients had diabetic retinopathy. The median (interquartile range) of high-sensitivity C-reactive protein was 2.4 (1.4, 4.6) mg L-1 . Higher sleep variability was significantly associated with higher high-sensitivity C-reactive protein (r = 0.342, p = 0.044), as was haemoglobin A1C (r = 0.431, p = 0.010) and low-density lipoprotein (r = 0.379, p = 0.025), but not sleep regularity, sleep apnea severity or diabetic retinopathy. Multiple regression analysis showed that higher sleep variability (B = 0.907, p = 0.038) and higher HbA1c (B = 1.519, p = 0.035), but not low-density lipoprotein, contributed to higher high-sensitivity C-reactive protein. In conclusion, higher sleep variability in patients with type 2 diabetes who were not shift-workers was independently associated with higher systemic inflammation, conferring increased cardiovascular risk. Whether sleep interventions to reduce sleep variability can reduce systemic inflammation and improve cardiometabolic health should be investigated.

Association between nocturnal hypoxemic burden and glucose metabolism.

PURPOSE: To evaluate the association between a novel integrated event-based and hypoxemia-based parameter of polysomnography (PSG), hypoxemic load or HL100, and fasting blood glucose (FBG) and hemoglobin A1c (HbA1c) levels. METHODS: Adult patients, who underwent an in-lab PSG at the University of Iowa Hospitals and Clinics with FBG or HbA1c levels, were included. Event-based parameter and hypoxemia-based parameter data were derived. HL100, defined as the integrated area of desaturation between the 100% oxygen saturation and the measured saturation levels during sleep divided by the total sleep time, was calculated by Python software. Demographic data and glycemic parameters within 1 year prior to PSG (FBG and HbA1c) were retrieved from chart review. Spearman correlation analysis and stepwise backward regression analysis were performed to determine independent predictors of FBG and HbA1c levels. RESULTS: Of the 467 patients who underwent an in-lab PSG, 218 had FBG levels, 84 had HbA1c levels, and 118 had both values. All event-based and hypoxemia-based parameters, including HL100, were significantly correlated to FBG and HbA1c levels. Stepwise backward regression analyses, adjusted for age, sex, body mass index, and diabetes status, revealed that log HL100 was significantly related to FBG (B = 23.9, p = 0.010), but none of log event-based or hypoxemia-based parameters were found to be significantly related HbA1c levels. CONCLUSIONS: HL100 was shown to be an independent predictor of FBG in this cohort, implying that any degree of desaturation below 100% could adversely affect glucose metabolism. HL100 may be useful for interpretation of sleep studies, risk stratification, and patient management purposes in the future.

Type 1 Diabetes, Sleep, and Hypoglycemia.

PURPOSE OF REVIEW: To review the relationship between sleep and hypoglycemia, sleep characteristics, and their associations with glycemic control in persons with type 1 diabetes (T1D). The effects of sleep interventions and diabetes technology on sleep are summarized. RECENT FINDINGS: Nocturnal hypoglycemia affects objective and subjective sleep quality and is related to behavioral, psychological, and physiological factors. Sleep disturbances are common, including inadequate sleep, impaired sleep efficiency, poor subjective satisfaction, irregular timing, increased daytime sleepiness, and sleep apnea. Some have a bidirectional relationship with glycemic control. Preliminary evidence supports sleep interventions (e.g., sleep extension and sleep coach) in improving sleep and glycemic control, while diabetes technology use could potentially improve sleep. Hypoglycemia and sleep disturbances are common among persons with T1D. There is a need to develop sleep promotion programs and test their effects on sleep, glucose, and related outcomes (e.g., self-care, psychological health).

Metabolomic profile associated with obstructive sleep apnoea severity in obese pregnant women with gestational diabetes mellitus: A pilot study.

Obstructive sleep apnoea (OSA) is prevalent in obese women with gestational diabetes mellitus (GDM). The present pilot study explored associations between OSA severity and metabolites in women with GDM. A total of 81 obese women with diet-controlled GDM had OSA assessment (median gestational age [GA] 29 weeks). The metabolic profile was assayed from fasting serum samples via liquid chromatography-mass spectrometry (LC-MS) using an untargeted approach. Metabolites were extracted and subjected to an Agilent 1,290 UPLC coupled to an Agilent 6,545 quadrupole time-of-flight (Q-TOF) MS. Data were acquired using electrospray ionisation in positive and negative ion modes. The raw LC-MS data were processed using the OpenMS toolkit to detect and quantify features, and these features were annotated using the Human Metabolite Database. The feature data were compared with OSA status, apnea-hypopnea index (AHI), body mass index (BMI) and GA using "limma" in R. Correlation analyses of the continuous covariates were performed using Kendall's Tau test. The p values were adjusted for multiple testing using the Benjamini-Hochberg false discovery rate correction. A total of 42 women (51.8%) had OSA, with a median AHI of 9.1 events/hr. There were no significant differences in metabolomics profiles between those with and without OSA. However, differential analyses modelling in GA and BMI found 12 features that significantly associated with the AHI. These features could be annotated to oestradiols, lysophospholipids, and fatty acids, with higher levels related to higher AHI. Metabolites including oestradiols and phospholipids may be involved in pathogenesis of OSA in pregnant women with GDM. A targeted approach may help elucidate our understanding of their role in OSA in this population.

Sleep variability, 6-sulfatoxymelatonin, and diabetic retinopathy.

PURPOSE: Recent evidence suggests that diabetic retinopathy (DR) is associated with abnormal melatonin regulation, possibly related to dysfunction of the melanopsin-expressing intrinsically photosensitive retinal ganglion cells. This study explored melatonin regulation in type 2 diabetes (T2D) patients with DR and its relation to sleep and circadian functioning. METHODS: Thirty-five participants (10 non-diabetic controls, 10 T2D without DR, and 15 T2D with DR) were recruited. Overnight urine 6-sulfatoxymelatonin (aMT6s) and objective sleep and wrist activity (7-day actigraphy) were obtained. RESULTS: After adjusting for covariates, having T2D with DR was significantly associated with lower urinary aMT6s (ß = - 1.369, p = 0.004) compared with controls, while having T2D without DR was not (p = 0.418). T2D patients with DR reported poorer sleep quality (p = 0.014) and had greater variability of sleep duration (p = 0.017) than others, while no differences were found in sleep duration, efficiency, and rest-activity rhythm. After adjusting for covariates, lower nocturnal aMT6s was significantly associated with greater sleep variability. CONCLUSION: T2D patients with DR exhibited low overnight production of aMT6s which likely contributed to sleep irregularities possibly due to weak circadian signaling. Whether or not melatonin supplementation could improve health in T2D patients with DR remains to be explored.

Understanding the pathophysiological mechanisms of cardiometabolic complications in obstructive sleep apnoea: towards personalised treatment approaches.

In January 2019, a European Respiratory Society research seminar entitled "Targeting the detrimental effects of sleep disturbances and disorders" was held in Dublin, Ireland. It provided the opportunity to critically review the current evidence of pathophysiological responses of sleep disturbances, such as sleep deprivation, sleep fragmentation or circadian misalignment and of abnormalities in physiological gases such as oxygen and carbon dioxide, which occur frequently in respiratory conditions during sleep. A specific emphasis of the seminar was placed on the evaluation of the current state of knowledge of the pathophysiology of cardiovascular and metabolic diseases in obstructive sleep apnoea (OSA). Identification of the detailed mechanisms of these processes is of major importance to the field and this seminar offered an ideal platform to exchange knowledge, and to discuss pitfalls of current models and the design of future collaborative studies. In addition, we debated the limitations of current treatment strategies for cardiometabolic complications in OSA and discussed potentially valuable alternative approaches.

Prediabetes among HIV-infected individuals receiving antiretroviral therapy: prevalence, diagnostic tests, and associated factors.

BACKGROUND: Metabolic complications in human immunodeficiency virus (HIV)-infected individuals are common. Prediabetes represents a high risk for future diabetes development. This study aimed to determine the prevalence, diagnostic methods, and associated factors of prediabetes among HIV-infected individuals receiving antiretroviral therapy (ART). METHODS: A cross-sectional study was conducted among HIV-infected adults without a history of diabetes who were receiving ART. Fasting plasma glucose (FPG), 2-hour plasma glucose (2-h PG) after a 75-g oral glucose tolerance test, and hemoglobin A1c (HbA1c) were assessed. RESULTS: A total of 397 patients with a mean age of 47.0 ± 9.8 years and 55.7% male, were studied. All received ART with undetectable plasma viral load. The mean duration of ART was 9.6 ± 5.2 years, and the mean CD4 cell count was 554 ± 235 cells/mm3. Among the patients, 28 (7.1%) had first-diagnosed diabetes, and 133 (33.5%) patients had prediabetes. Glycemia estimation by FPG, 2-h PG, and HbA1c showed a prediabetes prevalence of 17.4%, 14.7%, and 12.5%, respectively. The kappa statistics for the agreement of FPG and 2-h PG, HbA1c and 2-h PG, and HbA1c and FPG were 0.317, 0.429, and 0.396, respectively. In multivariate analysis, hypertension [odds ratio (OR) 3.38; 95% confidence interval (CI), 1.16-9.91; p = 0.026), and triglycerides > 150 mg/dL (OR 2.11; 95% CI, 1.01-4.44; p = 0.047) were factors significantly associated with prediabetes. CONCLUSIONS: Prediabetes among HIV-infected individuals receiving ART is common. The agreements of glycemia estimation methods are minimal to weak. HbA1c may underestimate prediabetes prevalence. Using FPG together with HbA1c increases the detection rate to approximately three-quarters of prediabetes patients. HIV-infected individuals who had hypertension and hypertriglyceridemia should be regularly assessed for prediabetes. Trial registration ClinicalTrial.gov, NCT03545217. Registered 1 June 2018-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03545217.

Effect of Nighttime Earplugs and Eye Masks on Sleep Quality in Intensive Care Unit Patients.

PURPOSE: Poor sleep quality in intensive care unit (ICU) can be associated with poor outcome. Excessive noise and lights in ICU are known to disrupt patients' sleep by causing arousals. STUDY DESIGN: A prospective randomized controlled study. MATERIALS AND METHODS: The patients admitted to the medical ICU were prospectively included and randomized to receive earplugs and eye masks or no intervention during their first 5 nights in ICU. Their arousal index and other sleep parameters were measured during the first night by polysomnography. Secondary outcomes including wrist actigraphy profiles and subjective sleep quality were recorded during all study nights. RESULTS: Seventeen patients were enrolled. Eight patients were randomized to earplugs and eye masks group and nine patients were randomized to control group during their first 5 nights in the ICU. The use of earplugs and eye masks demonstrated the trend toward lower arousal index during the first night (21.15 (14.60) vs 42.10 (18.20) events per hour, p = 0.086) and increased activity index (activity count/hour) (16.12 (7.99) vs 10.84 (10.39) count/hour, p = 0.059) compared to control group. Polysomnography and actigraphy did not demonstrate good agreement. CONCLUSION: The use of earplugs and eye masks has a trend toward reduction in arousal index and increased activity in patients admitted to ICU. Limited sample size most likely explained insignificant difference in outcomes. Wrist actigraphy did not accurately measure sleep parameters in ICU patients. TRIAL REGISTRATION: www.clinicaltrials.in.th, TCTR20170727003. HOW TO CITE THIS ARTICLE: Arttawejkul P, Reutrakul S, Muntham D, Chirakalwasan N. Effect of Nighttime Earplugs and Eye Masks on Sleep Quality in Intensive Care Unit Patients. Indian J Crit Care Med 2020;24(1):6-10.

Lack of associations between thyroid function and obstructive sleep apnea severity in adults with prediabetes and diabetes mellitus.

PURPOSE: Hypothyroidism is associated with a high frequency of obstructive sleep apnea (OSA). However, the prevalence of OSA in hypothyroid patients is not different from the general population in many reports. The importance of thyroid function screening in sleep-disordered breathing is still controversial. This study aimed to explore the association between thyroid dysfunction and OSA in the adults with prediabetes or diabetes mellitus type 2, who have very high prevalence of OSA. METHODS: OSA was assessed using an in-home monitoring device, WatchPAT200. OSA severity was measured using apnea-hypopnea index (AHI), oxygen desaturation index (ODI), minimum oxygen saturation (minO2), and time spent under oxygen saturation < 90% (T90). Patients with pre-existing thyroid dysfunction were excluded. RESULTS: Participants included 70 men and 118 women with mean age 52.8 ± 10.9 years and body mass index 28.2 ± 4.9 kg/m2. One hundred forty participants (75%) had OSA, with a median AHI of 10.1 (interquartile range 4.8, 18.3). The percentage of positive thyroid autoantibody (thyroperoxidase and thyroglobulin antibody) was similar among the subjects with and without OSA. There was no correlation between the levels of thyroid function (TSH, FT3, FT4, TSH/FT3, and TSH/FT4 ratio) and the severity indices of OSA (AHI, ODI, minO2, and T90). CONCLUSIONS: These data do not support universal screening for thyroid dysfunction in OSA patients with diabetes or prediabetes.

Effect of bioelectrical impedance analysis-guided dry weight adjustment, in comparison to standard clinical-guided, on the sleep quality of chronic haemodialysis patients (BEDTIME study): a randomised controlled trial.

BACKGROUND: Sleep disturbance is common among chronic haemodialysis patients, which leads to poor quality of life, in addition to increased instances of morbidity and mortality. Hypervolemia has been linked to sleep problems observed in chronic haemodialysis patients, which suggests that optimising one's fluid status could improve the sleep quality of this patient group. In our study, we subjectively examined and objectively measured sleep parameters, using actigraphy recordings, the Pittsburgh Sleep Quality Index (PSQI) questionnaire, and Epworth Sleepiness Scale (ESS), in order to compare bioelectrical impedance analysis (BIA)-guided and standard clinical-guided dry weight adjustment. METHODS: We randomly selected 19 chronic haemodialysis patients with subclinical hypervolemia, defined as a clinically euvolemic status, despite the ratio of extracellular water to total body water being more than 0.4 in BIA. Furthermore, these patients, who were poor sleepers (PSQI > 5), were assigned to either a BIA-guided dry weight group (BIA group) or a standard clinical-guided one (clinical group). The primary outcome was changes in sleep actigraphy parameters between the groups at 1, 3, and 6 months. Changes observed in the PSQI and ESS score between the two groups over the same period of time were the secondary endpoints. RESULTS: The mean age of the participants was 63.53 ± 11.12 years, and 42% of them were male. All sleep parameters measured by means of actigraphy were not significantly different between the two groups. Interestingly, at 3 and 6 months, the subjective sleep quality significantly improved in the BIA group, as reflected by a greater decline in the PSQI score, in comparison with the clinical group (3 months: mean difference - 1.82 [- 3.13 to - 0.51], P = 0.006; 6 months: mean difference - 3.16 [- 4.49 to - 1.83], P <  0.001). However, sleepiness assessed by the ESS was not significantly different between the groups throughout the study. CONCLUSIONS: Optimisation of the fluid status by employing BIA did not improves sleep actigraphy parameter, however, it significantly ameliorates the subjective sleep quality of chronic haemodialysis patients. This observation should be further explored in larger samples and longer clinical trials. TRIAL REGISTRATION: This trial was registered at ClinicalTrials.gov ( NCT02825589 ) on July 7, 2016.

Eveningness Is Associated With Greater Depressive Symptoms in Type 2 Diabetes Patients: A Study in Two Different Ethnic Cohorts.

BACKGROUND: Eveningness is associated with greater depressive symptoms in the general population. Depression and type 2 diabetes (T2D) commonly coexist. We aimed to explore the association between morningness-eveningness and depressive symptoms in T2D patients in the United States and in Thailand. PARTICIPANTS: T2D patients (n = 182) from an endocrinology clinic in Chicago, Illinois, and six hospitals in Thailand (n = 251) were enrolled. METHODS: Diabetes history was collected. Depressive symptoms were assessed by the Center for Epidemiologic Studies Depression scale (CES-D). The Chicago cohort completed the Morningness-Eveningness Questionnaire (MEQ) and the Thai cohort completed the Composite Scale of Morningness (CSM). Sleep quality was assessed using the Pittsburg Sleep Quality Index (PSQI). RESULTS: The mean (SD) CES-D score was 13.7 (9.1) in Chicago and 11.9 (6.4) in Thailand. In Chicago participants, after adjusting for age, sex, ethnicity, hemoglobin A1c, insulin use, and PSQI score, greater eveningness (lower MEQ scores) was associated with higher CESD scores (B = -0.117, p = 0.048). In Thai participants, after adjusting for age, sex, and PSQI score, eveningness (lower CSM score) was associated with higher CES-D score (B = -0.147, p = 0.016). In both cohorts, however, eveningness was not independently associated with the likelihood of being in the at-risk range for clinical depression (CES-D ≥ 16). CONCLUSIONS: Eveningness is independently associated with greater depressive symptoms in T2D in two different ethnic cohorts. The results support the association between individual differences in circadian rhythms and psychological functioning in T2D.

The relationship between sleep and glucagon-like peptide 1 in patients with abnormal glucose tolerance.

Glucagon-like peptide 1 plays a role in glucose regulation. Sleep disturbances (obstructive sleep apnea, insufficient or poor sleep quality) have been shown to adversely affect glucose metabolism. This study aimed to explore the relationship between sleep and glucagon-like peptide 1 regulation in patients with abnormal glucose tolerance. Seventy-one adults with haemoglobin A1c levels between 5.7% and < 6.5% and no history of diabetes participated. Habitual sleep duration and efficiency were obtained from 7-day actigraphy recordings. Obstructive sleep apnea was assessed using an overnight home monitor. Glucagon-like peptide 1 levels were measured during a 75-g glucose tolerance. The area under the curve of glucagon-like peptide 1 was calculated. The mean age (SD) was 55.1 (8.3) years and median (interquartile range) haemoglobin A1c was 5.97% (5.86, 6.23). There was no relationship between sleep duration or efficiency and fasting or area under the curve glucagon-like peptide 1. Glucagon-like peptide 1 levels did not differ among those sleeping ≤ 5.75, > 5.75-< 6.5 or ≥ 6.5 h per night. Increasing apnea-hypopnea index, an indicator of obstructive sleep apnea severity, correlated with lower area under the curve glucagon-like peptide 1 (B -0.242, P = 0.045), but not with fasting glucagon-like peptide 1 (B -0.213, P = 0.079). After adjusting for sex, haemoglobin A1c and body mass index, increasing apnea-hypopnea index was negatively associated with having area under the curve glucagon-like peptide 1 in the highest quartile (odds ratio 0.581, P = 0.028, 95% CI 0.359, 0.942). This study demonstrated that increasing obstructive sleep apnea severity was associated with lower glucagon-like peptide 1 response to glucose challenge. This could possibly be an additional mechanism by which obstructive sleep apnea affects glucose metabolism. Whether raising glucagon-like peptide 1 levels in patients with abnormal glucose tolerance with more severe obstructive sleep apnea will be beneficial should be explored.

Night-shift work is associated with poorer glycaemic control in patients with type 2 diabetes.

The circadian system plays a role in regulating metabolism. Night-shift work, a form of circadian misalignment, is associated with increased type 2 diabetes risk. This study aimed to determine if night-shift workers with type 2 diabetes experience poorer glycaemic control than non-shift workers. Patients with type 2 diabetes (104 unemployed, 85 day workers and 60 night-shift workers) participated. Sleep duration, sleep quality, morningness-eveningness preference, depressive symptoms and dietary intake were assessed using standardized questionnaires. Haemoglobin A1c levels were measured. Night-shift workers had significantly higher haemoglobin A1c levels compared with others, while there were no differences between day workers and unemployed participants (median 7.86% versus 7.24% versus 7.09%, respectively). Additionally, night-shift workers were younger, had a higher body mass index, and consumed more daily calories than others. Among night-shift workers, there were no significant differences in haemoglobin A1c levels between those performing rotating versus non-rotating shifts (P = 0.856), or those with clockwise versus counterclockwise shift rotation (P = 0.833). After adjusting for age, body mass index, insulin use, sleep duration, morningness-eveningness preference and percentage of daily intake from carbohydrates, night-shift work, compared with day work, was associated with significantly higher haemoglobin A1c (B = 0.059, P = 0.044), while there were no differences between unemployed participants and day workers (B = 0.016, P = 0.572). In summary, night-shift work is associated with poorer glycaemic control in patients with type 2 diabetes.

Diabetes in Thailand: Status and Policy.

Like other countries in the Western Pacific region, Thailand is facing increasing numbers of patients with diabetes due to unhealthy diets, high obesity rates, and an aging society. Diabetes is a considerable burden for developing countries as it reduces quality of life, increases mortality, and drives up healthcare costs. The disease detection rate in Thailand has improved in recent years, but glycemic control remains suboptimal and significant numbers of patients suffer from complications. Universal healthcare coverage has increased access to care, but inequality exists between different health plans and non-medication diabetes supplies are not yet widely covered. Diabetes self-management education has not yet been standardized and a multidisciplinary team approach is not widely utilized. The Thai government recognizes the burden of diabetes and has launched nationwide programs of health promotion and disease prevention. In addition, local initiatives have targeted reductions in specific complications, including retinopathy and diabetic foot problems, which has resulted in better disease prevention and treatment. Along with strategic public health planning, increased collaboration between private and public sectors, enhanced professional training, increased use of technology and data management, and equitable distribution of care are all needed to improve outcomes of patients with diabetes in Thailand.

Higher sleep variability is associated with poorer glycaemic control in patients with type 1 diabetes.

Sleep disturbances have been linked to insulin resistance and poor glycaemic control in patients with type 2 diabetes. However, the data are limited in type 1 diabetes. Recently, varying day-to-day sleep schedules, i.e. sleep variability, have been associated with adverse metabolic profile in healthy individuals. This study explored whether sleep variability affects glycaemic control and insulin requirement in type 1 diabetes. Forty-one adult patients with type 1 diabetes wore an actigraphy for 5 nights. Standard deviation of sleep duration, efficiency and mid-sleep time were sleep variability parameters. Sleep apnoea risk and self-reported sleep quality were assessed by the Berlin questionnaire and Pittsburgh Sleep Quality Index. Haemoglobin A1c, diabetes complications and insulin regimen were obtained from medical records. After adjusting for neuropathic symptoms, sleep apnoea risk and poor self-reported sleep quality, higher sleep variability was significantly associated with poorer glycaemic control (standard deviation of sleep duration, B = 0.100, P = 0.004; and standard deviation of mid-sleep time, B = 0.068, P = 0.04). In addition, standard deviations of sleep duration and mid-sleep time were highly correlated, suggesting that participants changed their sleep duration along with sleep timing. After adjusting for covariates, the standard deviation of sleep duration (P = 0.009) and standard deviation of mid-sleep time (P = 0.012) were associated with higher insulin requirement. In summary, higher sleep variability, which likely reflects sleep deprivation alternating with sleep compensation along with shifts in their circadian timing, was associated with poorer glycaemic control and higher insulin requirement in patients with type 1 diabetes. Increased sleep regularity may improve metabolic control in type 1 diabetes.

Shorter sleep duration is associated with poorer glycemic control in type 2 diabetes patients with untreated sleep-disordered breathing.

PURPOSE: The purpose of this study is to explore the impact of sleep duration on glycemic control in type 2 diabetes patients with untreated sleep-disordered breathing (SDB). METHODS: Ninety type 2 diabetes patients participated in the study. SDB was diagnosed using an overnight in-home monitoring device (WatchPAT200). Sleep duration was recorded by wrist actigraphy for 7 days. Medical records were reviewed for hemoglobin A1c (HbA1c) values. RESULTS: Seventy-one patients (78.8 %) were diagnosed with SDB [apnea-hypopnea index (AHI) ≥ 5]. In patients with SDB, there was no significant relationship between AHI and glycemic control. In addition, oxygen desaturation index, minimum oxygen saturation, and time spent below oxygen saturation of 90 % were not significantly correlated with glycemic control. Sleep duration, however, was inversely correlated with HbA1c (r = -0.264, p 0.026). Multiple regression analysis adjusting for age, sex, body mass index, insulin use, diabetes duration, and AHI revealed that sleep duration was significantly associated with HbA1c (p = 0.005). Each hour reduction in sleep duration was associated with a 4.8 % increase in HbA1c of its original value (95 % CI 1.5-8.0). CONCLUSION: In type 2 diabetes patients with untreated SDB, shorter sleep duration was independently associated with poorer glycemic control. Sleep duration optimization may lead to improved glycemic control in this population.

Management of Severe Insulin Resistance in Patients with Type 1 Diabetes.

Managing severe insulin resistance (IR) in patients with type 1 diabetes (T1DM) can be challenging for both clinicians and patients. As average weight for patients with T1DM has increased in recent decades, IR in this population has become more widespread. Currently, almost 50 % of patients with T1DM are overweight or obese. While intensive insulin therapy is associated with reduction in complications, aggressive treatment can lead to weight gain. With increasing weight, insulin can become less effective to control glycemia, resulting in higher insulin doses and hence more weight gain. Novel strategies to break this vicious cycle are needed. This review will investigate current research on insulin formulations, lifestyle modification, adjunct therapies, and surgery that may help better manage patients with T1DM and IR.