scholarly journals The Relationship between Sleep Quality and Hba1c Levels in Type 2 Diabetes mellitus Patients at Dr. Pirngadi Medan in 2019

2021 ◽  
Vol 6 (1) ◽  
pp. 24
Author(s):  
Nensi Aristya Zalukhu ◽  
Octo P Marpaung ◽  
Poida PB Gurning
Author(s):  
Cristina Naranjo ◽  
María Dueñas ◽  
Carlos Barrera ◽  
Guillermo Moratalla ◽  
Inmaculada Failde

This study aims to compare the sleep characteristics (structure and quality) in patients with type-2 diabetes mellitus with and without diabetic neuropathic pain (DNP), and to investigate the relationship of sensory phenotypes, anxiety, and depression with sleep quality in DNP patients. A cross-sectional study was performed in patients with type-2 diabetes mellitus and neuropathy. Patients were classified into two groups—with or without neuropathic pain—according to the “Douleur Neuropathique-4 (DN4)” scale. Sleep characteristics and quality (Medical Outcomes Study—MOS-sleep), pain phenotype (Neuropathic Pain Symptom Inventory—NPSI), mood status (Hospital Anxiety and Depression scale—HADS), pain intensity (Visual Analogue Scale—VAS), and quality of life (SF-12v2) were measured. The sample included 130 patients (65 with DNP). The mean scores in all the dimensions of the MOS-sleep scale were higher (more disturbances) in the DNP patients. Higher scores in anxiety or depression, greater intensity of pain or a higher score in the paroxysmal pain phenotype were associated with lower sleep quality in DNP patients. A shorter duration of the diabetes and lower levels of glycated hemoglobin were also associated with lower sleep quality. The results show the relationship between DNP and sleep quality, and the importance of assessing sensory phenotypes and mental comorbidities in these patients. Taking these factors into consideration, to adopt a multimodal approach is necessary to achieve better clinical results.


2021 ◽  
Vol 12 ◽  
Author(s):  
Liqun Wang ◽  
Jiangping Li ◽  
Yuqi Dang ◽  
Haiyu Ma ◽  
Yang Niu

Objective: There are few studies about the relationship between social capital (SC) and depression among type 2 diabetes mellitus (T2DM) patients, and the mechanism explaining how SC leads to decreased depression is unclear. The current study aims to explore the relationship between SC and depressive symptoms among the T2DM patients in northwest China, with a particular focus on the mediating role of sleep quality.Methods: A cross-sectional study of 1,761 T2DM patients from Ningxia Province was conducted. The Center for Epidemiological Survey Depression Scale (CES-D) and self-report sleep quality questionnaire coupled with the SC scales were administered during the face-to-face survey. The Bootstrap methods PROCESS program is employed to test the mediation model.Results: The prevalence of depressive symptoms among T2DM patients was 24.8%. After controlling for covariates, the SC (r = −0.23, p < 0.001) was negatively correlated with CES-D score; the sleep quality was also negatively correlated with CES-D score (r = −0.31, p < 0.001); and the SC was positively correlated with sleep quality (r = 0.10, p < 0.001). Logistic regression analysis showed that SC was inversely related to the risk of depressive symptoms. Meanwhile, sleep quality was negatively associated with depressive symptoms. Sleep quality has mediated the relationship between SC and depressive symptoms among T2DM patients (explaining 12.6% of the total variance).Conclusions: We elucidated how SC interacted with depressive symptoms through the mediation pathway of sleep quality using a representative sample of the Chinese diabetes patients. The findings indicate that the improvement of SC and sleep quality may help in maintaining mental health among T2DM patients. Hence, clinicians can suggest that patients communicate more with others to improve the SC and, in turn, maintain their health.


Author(s):  
Sherly Karolina Simanjuntak ◽  
I Nyoman Wande ◽  
Ida Ayu Putri Wirawati

Patients with Type 2 Diabetes Mellitus (T2DM) have an increased prevalence of dyslipidemia, which contributes to ahigher risk of dyslipidemia- related complications in T2DM such as cardiovascular disease and stroke. This study aimed todetermine the correlation between TG and VLDL-C towards HbA1c levels in a person with T2DM. A retrospective study of 74outpatients with T2DM at Sanglah General Hospital, Denpasar, who examined serum HbA1c and lipid profiles were tracedfor serum TG. From the obtained TG profile, a secondary calculation of VLDL was carried out using the Friedewald equation(TG/5). A correlation test was used to determine the relationship between TG and VLDL-C towards HbA1c levels. Serum TG(212.95±147.46 mg/dL) and VLDL (36.69±23.54 mg/dL) were found to be higher in the group with poor glycemic control(HbA1c > 7 mg/dL) compared to serum TG (111.00±39.56 mg/dL) and VLDL (21.05±6.13 mg/dL) in the group with goodglycemic control (HbA1c ≤ 7 mg/dL) (p < 0.05). A positive correlation between serum TG (r=0.512; p < 0.001) and VLDL(r=0.18; p <0.001) towards HbA1c levels in T2DM patient was found. Insulin resistance increases the production of VLDL andApoC-III in the liver and increased chylomicron absorption in the gastrointestinal tract, causing prolonged postprandiallipemia and disruption of VLDL and TG clearance, thereby resulting in increased TG and VLDL in circulation. There is asignificant positive correlation between serum TG and VLDL towards HbA1c levels in a patient with T2DM. 


PUINOVAKESMAS ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 84-93
Author(s):  
Putri Nur Cahyani ◽  
Atik Martsiningsih ◽  
Budi Setiawan

Background: People with Type 2 Diabetes Mellitus in Indonesia continue to increase in prevalence. Understanding of complications due to this disease, one of which is diabetic nephropathy or damage to kidney nephrons. Objective: To determine the relationship between HbA1c levels and creatinine levels in patients with Type 2 Diabetes Mellitus. Method: This study was an observational experiment using a cross sectional approach based on secondary data. The research was carried out in February to April 2020. The population of this research study is a member of Prolanis (Chronic Disease Management Advanced Program) in Gamping 1 Puskesmas Sleman Yogyakarta. Sample with 24 patients. Analysis of data using the Spearman’s test. Results: From the results of the normality test using the Shapiro Wilk test data obtained were not normally distributed so that continued with the Spearman rank test obtained r of -0.006 and p values with sig. (2-tailed) of 0.961 or> 0.05 (H0 received). This means that there is no relationship between HbA1c levels and blood creatinine levels in patients with type 2 DM. Conclusion: There is no relationship between HbA1c levels and creatinine levels in patients with Type 2 Diabetes Mellitus.


2021 ◽  
Vol 22 (7) ◽  
pp. 3566
Author(s):  
Chae Bin Lee ◽  
Soon Uk Chae ◽  
Seong Jun Jo ◽  
Ui Min Jerng ◽  
Soo Kyung Bae

Metformin is the first-line pharmacotherapy for treating type 2 diabetes mellitus (T2DM); however, its mechanism of modulating glucose metabolism is elusive. Recent advances have identified the gut as a potential target of metformin. As patients with metabolic disorders exhibit dysbiosis, the gut microbiome has garnered interest as a potential target for metabolic disease. Henceforth, studies have focused on unraveling the relationship of metabolic disorders with the human gut microbiome. According to various metagenome studies, gut dysbiosis is evident in T2DM patients. Besides this, alterations in the gut microbiome were also observed in the metformin-treated T2DM patients compared to the non-treated T2DM patients. Thus, several studies on rodents have suggested potential mechanisms interacting with the gut microbiome, including regulation of glucose metabolism, an increase in short-chain fatty acids, strengthening intestinal permeability against lipopolysaccharides, modulating the immune response, and interaction with bile acids. Furthermore, human studies have demonstrated evidence substantiating the hypotheses based on rodent studies. This review discusses the current knowledge of how metformin modulates T2DM with respect to the gut microbiome and discusses the prospect of harnessing this mechanism in treating T2DM.


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