scholarly journals Melatonin Concentrations and Sleep Quality in Patients with Type 2 Diabetes and Obesity

2019 ◽  
Vol 73 (2) ◽  
pp. 152-157
Author(s):  
Ieva Kalere ◽  
Ilze Konrāde ◽  
Anna Proskurina ◽  
Sabīne Upmale ◽  
Tatjana Zaķe ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Retinopathy ◽  
Sleep Quality ◽  
Insulin Analogues ◽  
Control Group ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Acting Insulin ◽  
Short Acting Insulin

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.

Poor Sleep Quality Linked to Decreased Brain Gray Matter Density in Adults with Type 2 Diabetes

2021 ◽  
Author(s):  
Cristina Cabrera-Mino ◽  
Bhaswati Roy ◽  
Mary A. Woo ◽  
Matthew J. Freeby ◽  
Rajesh Kumar ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Sleep Quality ◽  
Gray Matter ◽  
Matter Density ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Gray Matter Density

scholarly journals MON-698 Association of Sleep Quality and Painless Diabetic Peripheral Neuropathy in Type 2 Diabetes

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Dughyun Choi ◽  
Bo Yeon Kim ◽  
Chan-Hee Jung ◽  
Chul-Hee Kim ◽  
Jioh Mok
Keyword(s):  
Type 2 Diabetes ◽  
Peripheral Neuropathy ◽  
Sleep Quality ◽  
Diabetic Peripheral Neuropathy ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Poor ◽  
Painful Sensation ◽  
Good Sleep

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.

scholarly journals 1056 Perceived Financial Difficulty Predicts Sleep Quality In Participants With Type 2 Diabetes And Obstructive Sleep Apnea

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A401-A401
Author(s):  
J L Morris ◽  
L Baniak ◽  
S M Belcher ◽  
C Imes ◽  
F Luyster ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Obstructive Sleep Apnea ◽  
African American ◽  
Sleep Quality ◽  
Disease Severity ◽  
Poor Sleep ◽  
Financial Difficulty ◽  
Poor Sleep Quality ◽  
Obstructive Sleep

Abstract Introduction People with multiple chronic conditions such as type 2 diabetes (T2D) and obstructive sleep apnea (OSA) are at increased risk for poor sleep quality. It is unclear if social determinants of health (SDoH) such as race, perceived financial difficulty, education, gender, and marital status are associated with sleep quality in this population. The purpose of this cross-sectional secondary analysis of data from the Diabetes Sleep Treatment Trial was to explore SDoH and disease severity as predictors of sleep quality in persons with both OSA and T2D. Methods Disease severity was measured by Apnea-Hypopnea Index [(AHI) ≥ 5] and A1C for glycemic control. SDoH included perceived financial difficulty (none/moderate-severe), race (White/African American), sex (f/m), marital status (no/yes), education (≤ or &gt; 2 years post high school), and age. Sleep quality was measured by Pittsburgh Sleep Quality Index (PSQI). Correlations and linear regression modeling investigated associations between SDoH and disease severity on sleep quality. Post-hoc correlations were explored for significant relations among SDoH. Results The sample (N = 229) was middle-aged (57.6 ± 10.0; 66 % White and 34% African American; and 54 % men vs. 46% women. Participants carried a high burden of disease (mean AHI = 20.7±18.1, mean A1C = 7.9 %±1.7%). Disease severity was not significantly associated with sleep quality (all p &gt;.05). The perception of worse financial difficulty was the only SDoH that predicted worse sleep quality (b=-1.54, p=.015). Characteristics significantly associated with worse financial difficulty were being African American, female, ≤ 2 years post high school, and younger (all p&lt;.01). Conclusion Financial difficulty may be a more important predictor of subjective measures of sleep quality than disease severity in patients with OSA and T2D. Researchers and clinicians should be aware of these characteristics as potential markers of vulnerability to poor sleep quality in this population. Support The National Institute of Diabetes and Digestive and Kidney Diseases (R01DK096028) and through the Clinical +Translational Research Institute grants UL1TR001857 and UL1TR000005.

scholarly journals Sleep quality among type 2 diabetes mellitus patients in a private hospital setting in Yangon, Myanmar

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hnin Nandar Htut ◽  
Nopporn Howteerakul ◽  
Nawarat Suwannapong ◽  
Petch Rawdaree
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Sleep Quality ◽  
Family Relationships ◽  
Private Hospital ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Content Type

PurposeThis study aimed to assess the sleep quality and its associated factors among patients with type 2 diabetes mellitus (T2DM) in a private hospital in Yangon, Myanmar.Design/methodology/approachA cross-sectional study was conducted. A total of 289 T2DM patients were interviewed using a structured questionnaire. An English version of the Pittsburgh Sleep Quality Index (PSQI) was translated into Myanmar and used for assessing sleep quality.FindingsApproximately 48.4% of T2DM patients had poor sleep quality (PSQI score > 5). The mean ± SD of the PSQI global score was 5.97 ± 3.45. About 36.0% of participants reported the presence of diabetes complications, and 14.9% used sleep medication. About 27.7% had depression and 8.3% had poor family relationships. Multiple logistic regression analysis revealed that the presence of complications (AOR = 1.86; 95%CI; 1.04–3.35), poor family relationships (AOR = 5.09; 95%CI; 1.55–16.68) and depression (AOR = 7.52; 95%CI; 3.83–14.76) were significantly associated with poor sleep quality.Originality/valueThe prevalence of poor sleep quality is rather high among T2DM patients. Healthcare personnel and hospital administrators should focus on the complication status, family relationships and depression status of T2DM patients by providing regular screening for sleep quality and depression and by providing a program of sleep health education and counselling at diabetic clinics

scholarly journals Sleep Quality and Associated Factors Among Type 2 Dm Patients and Non-Dm Individuals in Bahir Dar Governmental Hospitals: Comparative Cross-Sectional Study

2021 ◽  
Author(s):  
Dagmawit Zewdu ◽  
Haileyesus Gedamu ◽  
Yeshiwork Beyene ◽  
Mekdes Tadesse ◽  
Mahlet Tamirat ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Sleep Quality ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Bahir Dar ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Type 2 Diabetic

Abstract Background: Multiple factors may contribute to sleep disruption in type 2 diabetic individuals. Sleep disruption in type 2 diabetic individuals is frequently associated with long-term damage, dysfunction, and failure of different organs. Nevertheless, literature in this regard is scanty in Ethiopia. Therefore, this study aimed to assess and compare the prevalence of poor sleep quality and associated factors among type 2 diabetic and non-diabetic individuals in Bahir Dar governmental hospitals.Methods: Comparative cross-sectional study was employed among 292 individuals with type 2 diabetes and 291 non-diabetic individuals in Bahir Dar governmental hospitals from March 01- to April-01. A two-stage cluster sampling method was employed to select participants. Pittsburgh sleep quality index was used for assessing sleep quality. For analysis, descriptive and summary statistics were used to determine the prevalence and percentage of variables. Chi-square test was also used for comparison. Binary logistic regression analysis was employed to determine the associated factors of poor sleep quality. Result: The prevalence of poor sleep was 50.7% (95% CI; 44.9-56.2) and 31.8% (95% CI 26.5-37.5) among individuals with type 2 diabetes and non-diabetic individuals respectively. Among the overall participants being type 2 diabetic patient was also found significantly associated with poor sleep quality as compared to non-diabetic individuals (AOR=1.89; 95% CI; 1.19-2.87). Comorbidity, duration of DM >10 years, Poor glycaemic control, having depression, low physical activity, and poor social support were factors significantly associated with poor sleep quality among individuals with type 2 diabetes. Among non-diabetic individual’s low physical activity, poor social support, having depression, and age group (>50 years) were factors significantly associated with poor sleep quality. Conclusion: In this study, the prevalence of poor sleep among individuals with type 2 diabetes was higher than non-diabetes individuals.

555-P: Poor Sleep Quality Linked to Decreased Brain Gray Matter Density in Type 2 Diabetes

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 555-P
Author(s):  
CRISTINA CABRERA-MINO ◽  
BHASWATI ROY ◽  
MARY A. WOO ◽  
RAJESH KUMAR ◽  
SARAH E. CHOI
Keyword(s):  
Type 2 Diabetes ◽  
Sleep Quality ◽  
Gray Matter ◽  
Matter Density ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Gray Matter Density
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