scholarly journals Glycemic Control: Risk Factors, Quality of Life, Workforce Participation, and Mortality Among US Adults with Type 2 Diabetes

2010 ◽  
Author(s):  
Evelyn P Davila
2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Preethi Mohan Rao ◽  
Enis Mumdzic ◽  
Daniel Marcus Kelly ◽  
Thomas Hugh Jones

Abstract Up to 40% of men with type II diabetes are testosterone deficient. There is growing evidence that testosterone therapy has a beneficial effect on glycemic control, insulin resistance and may have a cardioprotective effect, contrary to the traditional view that testosterone is detrimental to the heart. Our study aims to evaluate the effect of testosterone therapy on glycaemic control other cardiovascular risk factors, symptomatic benefit and quality of life in a randomised double-blind placebo controlled add-on of testosterone therapy to their normal hypoglycemic medication in hypogonadal men with uncontrolled type 2 diabetes. The study population includes 65 eligible men (140 screened) with poorly controlled diabetes (HbA1c between 53 and 80 mmol/mol) and confirmed hypogonadism by early morning [0800−1200h] total testosterone [TT] ≤12 nmol/L or calculated free testosterone ≤255 pmol/L on two occasions ≥1 week apart, with at least two symptoms of hypogonadism. The trial is divided into 2 phases. Phase 1: patients are randomly assigned to either treatment (depot testosterone undecanoate) arm or the placebo arm for 6 months. Phase 2: open label phase for 6 months with subjects on placebo on placebo initiated on to testosterone therapy while subjects in the treatment group continue to receive treatment for the 12 month duration. No change to anti- glycaemic therapy was made during the first phase of the study. The primary endpoint is HbA1c. Secondary endpoints include body composition (bioelectrical impedence DEXA scan), HOMA-IR, lipid profile, blood pressure (24 hr BP monitor), carotid media intima thickness, monocyte mRNA cytokine expression, Questionnaires include AMS (Aging Male Symptom Score), IIEF-5(International Index of Erectile Dysfunction), SF36-Quality of life, Mini mental score, New questionnaire for hypogonadism in diabetes (to be validated), NERI (New England Research Institute) hypogonadal screener. Baseline data indicate the mean age 59 (42-77) years. Mean Duration of diabetes was 8.6(0-21) years. 18 men were on Insulin. The remaining 47 men were either diet controlled or on oral hypoglycaemic medications. 9 men had pre-existing history of MI and 4 had history of angina. Mean HbA1c at baseline was 65(53-80) mmol/mol. Mean total testosterone level was 8.9(2.1-16.9) nmol/l. Mean weight and BMI at baseline were 107(71-187) kg and 34.5(24-52) respectively. Mean waist circumference was 115.7(46-160) cm The primary aim of this is to determine if testosterone therapy improves glycemic control in men with uncontrolled diabetes. Secondly to assess beneficial effects on specific cardiovascular parameters as well as QOL. This could have a major clinical implication on how we treat patients with hypogonadism and type 2 diabetes.


2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Xu Wang ◽  
Biyu Shen ◽  
Xun Zhuang ◽  
Xueqin Wang ◽  
Weiqun Weng

Aim.To assess the depressive symptoms status of chronic kidney diseases in Nantong, China, with type 2 diabetes and to identify factors associated with depressive symptoms.Methods.In this cross-sectional analytic study, 210 type 2 diabetic patients were recruited from the Second Affiliated Hospital of Nantong University. Depressive symptoms were assessed with the depression subscale of the Hospital Anxiety and Depression Scale (HAD-D). The quality of life was measured with the RAND 36-Item Health Survey (SF-36). And the independent risk factors of depressive symptoms were assessed by using a stepwise forward model of logistic regression analysis.Results.The mean age of the study subjects was 57.66 years (SD: 11.68). Approximately 21.4% of subjects reported depressive symptoms (n=45). Forward stepwise logistic regression analysis showed that female gender (P=0.010), hypertension (P=0.022), Stage IV (P=0.003), and Stage V (P<0.001) were significant risk factors for depressive symptoms. The quality of life of individuals with HAD-D score <11 was significantly better compared with individuals with HAD-D score ≥ 11.Conclusions.These results indicate that clinicians should be aware that female patients with chronic kidney diseases with T2DM in their late stage with hypertension are at a marked increased risk of depressive symptoms. Providing optimal care for the psychological health of this population is vital.


2017 ◽  
Vol 43 (1) ◽  
pp. 96-101 ◽  
Author(s):  
Dor Bar-Oz ◽  
Idan Hecht ◽  
Asaf Achiron ◽  
Mohamad Midlij ◽  
Vitaly Man ◽  
...  

2018 ◽  
Vol 128 (03) ◽  
pp. 170-181 ◽  
Author(s):  
Rainer Lundershausen ◽  
Sabrina Müller ◽  
Mahmoud Hashim ◽  
Joachim Kienhöfer ◽  
Stefan Kipper ◽  
...  

Abstract Purpose To assess quality of life, glycemic control, and safety/tolerability associated with liraglutide versus insulin initiation in patients with type 2 diabetes in Germany. Methods Liraglutide/insulin-naïve adults with type 2 diabetes and inadequate glycemic control despite using oral antidiabetic medication were assigned to liraglutide (≤1.8 mg daily; n=878) or any insulin (n=382) according to the treating physician’s decision and followed for 52 weeks. The primary objective was to evaluate Audit of Diabetes-Dependent Quality of Life (ADDQoL) scores. Results At baseline, the liraglutide group was younger and had shorter type 2 diabetes duration, lower glycated hemoglobin (HbA1c), higher body mass index, and a lower prevalence of certain diabetes-related complications than the insulin group (all p<0.05). ADDQoL average weighted impact scores improved numerically in both groups from baseline to 52 weeks (mean difference [95% confidence interval], liraglutide vs. insulin: 0.159 [−0.023;0.340]; not significant). Changes in general wellbeing and five ADDQoL domains significantly favored liraglutide (remaining 14 domains, not significant). HbA1c reductions were greater with insulin than liraglutide (−2.0% vs. −1.2%; p<0.01); however, mean HbA1c after 52 weeks was 7.2% in both groups. Compared with insulin, liraglutide significantly decreased body mass index (−1.54 kg/m2 vs. +0.27 kg/m2; p<0.001), systolic blood pressure (−5.03 mmHg vs. −1.03 mmHg; p<0.01) and non-severe hypoglycemia (0.85% vs. 4.55% at 52 weeks; p<0.01). Adverse drug reactions were reported for<3% of patients in both groups. Conclusions Liraglutide improved certain ADDQoL components and reduced body mass index, systolic blood pressure, and non-severe hypoglycemia versus insulin. Both treatments improved glycemic control.


2015 ◽  
Vol 18 (1) ◽  
pp. 82-89 ◽  
Author(s):  
Chiung-Yu Huang ◽  
Hui-Ling Lai ◽  
Yung-Chuan Lu ◽  
Wen-Kuei Chen ◽  
Shu-Ching Chi ◽  
...  

Objective: Most psychosocial interventions among individuals with Type 2 diabetes mellitus (T2DM) target depressive symptoms (DSs) rather than causal antecedents that lead to DSs or affect health-related quality of life (HrQoL). This research investigated a conceptual model of the effects of risk factors and coping styles on HrQoL and DSs in patients with T2DM. Method: A descriptive, correlational design was used with a convenience sample of 241 adults with T2DM aged ≥ 20 years recruited from a hospital metabolic outpatient department. Data were collected using a demographic questionnaire, the modified Ways of Coping Checklist, the Center for Epidemiological Studies Depression Scale, the Short Form 36 Health Survey, and physiological examination. HbA1C was collected from participants’ medical records. Structural equation modeling techniques were used to analyze relationships among risk factors, mediators, and HrQoL. Results: Younger age, more education, and longer duration of diabetes predicted better physical quality of life. Duration of diabetes and three coping styles predicted DSs. Longer duration of diabetes and lower fasting glucose predicted better mental quality of life. Three coping styles acted as mediators between risk factors and health, that is, active and minimizing styles promoted positive outcomes, while avoidance promoted negative outcomes. Conclusions: This integrated model provides a holistic picture of how risk factors and coping style influence HrQoL and DSs in individuals with T2DM. Nurses could use active coping strategies in cognitive behavioral therapy to enhance glycemic control in patients with T2DM.


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