55 resultados para Diabetes Complications

em Deakin Research Online - Australia


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This review summarises current evidence relating to the effectiveness of physical activity (PA) interventions for treating overweight and obesity and type 2 diabetes. Interventions to increase PA for the treatment of overweight and obesity in both children and adults have primarily consisted of health education and behaviour modification strategies in clinical settings or with selected families or individuals. Although evidence is limited, strategies to reduce sedentary behaviours appear to have potential for reducing obesity among children and adolescents. Among adults, strategies that combine diet and PA are more effective than PA strategies alone. Combined lifestyle strategies are most successful for maintained weight loss, although most programs are unsuccessful in producing long-term changes. There is little evidence about compliance to prescribed behaviour changes or the factors that promote or hinder compliance to lifestyle changes. Limited evidence suggests that continued professional contact and self-help groups can help sustain weight loss. Most of the interventions for the treatment of type 2 diabetes have been conducted in clinical settings and have typically required the use of extensive resources. Evidence suggests that interventions can lead to small but clinically meaningful improvements in glycaemic control, even in the absence of weight loss. A recent study demonstrated that a multifactorial intervention (diet, PA and pharmaceutical) can reduce the risk of diabetes complications in individuals with type 2 diabetes. Nevertheless, there is little evidence about the effectiveness of community-based interventions in producing long-term changes in glycaemic control and reduced mortality in people with type 2 diabetes.

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Factors which may account for the high frequency of macrovascular disease in diabetics are age, sex, cigarette smoking, hypertension, obesity, lack of exercise, diet, hyperglycaemia, hyperinsulinaeroia, hypercholesterolaemia, hypertriglyceridaemia, low HDL-cholesterol concentration, elevated free fatty acid concentration and enhanced platelet aggregation. Twenty seven (13 men and 14 women) non-insulin-dependent diabetics and thirty eight age, height and weight matched healthy subjects (10 men and 28 women) were studied. None of the subjects were smokers, or hypertensive. No subject had any clinical evidence of peripheral arterial disease, coronary heart disease or cerebrovascular disease. All had apparently normal peripheral pulses and normal ankle/arm blood pressure indices. Methods for determining arterial compliance in the segment between the left subclavian artery and each common femoral artery, and proximal resistance at the common femoral artery and posterior tibial artery, have been reviewed and developed. An appropriate food intake methodology for deriving food indices from food records was developed. Biochemical determinants have been made of glucose tolerance, glycosylated haemoglobin, serum total cholesterol, HDL-cholesterol, LDL-cholesterol, triglyceride, plasma free fatty acid and insulin. A significant decrease in the arterial compliance, and a significant increase in the arterial proximal resistance at the common femoral artery and posterior tibial artery in non-insulin-dependent diabetics, compared with their healthy controls, have been found. Significant negative correlation between arterial compliance and proximal resistance and, a significant positive correlation between the arterial proximal resistance of common femoral artery and posterior tibial artery were found. Differences between control (healthy subjects) and non-insulin-dependent diabetic groups indicate that preclinical peripheral arterial disease can be recognised even in mild diabetics by non-invasive measurement of arterial compliance or proximal resistance. There were significant and negative correlations between arterial compliance and each of blood glucose, blood glycosylated haemoglobin (HbAlC), plasma free fatty acid and plasma insulin concentration. There were significant and positive correlations between arterial proximal resistance of common femoral artery and posterior tibial artery and each of blood glucose, glycosylated haemoglobin and plasma free fatty acid concentration. Multivariate analysis to examine each of the biochemical factors Including blood glucose, blood glycosylated haemoglobin (HbAlC), plasma free fatty acid, plasma Insulin and lipids, showed that the factor which most influenced the arterial compliance and the proximal resistance of posterior tibial artery was the glucose level in the fasting state or the glucose response after a glucose load. In addition, the factors which most influenced proximal resistance of the common femoral artery were free fatty acid -level in the fasting state or glucose response after a glucose load. The factors which most influenced arterial compliance were glucose level in men, and the insulin level in the fasting state or the plasma free fatty acid response after a glucose load in women. These findings indicate that blood glucose, plasma free fatty acid and plasma insulin are risk factors for changes in arterial wall characteristic at a stage when no clinical evidence of macrovascular disease is apparent. Arterial compliance was decreased and the proximal resistance of posterior tibial artery was increased in those with a low intake of protective foods compared with those with a high intake whether healthy subjects or non-insulin-dependent diabetics. Arterial compliance was decreased in non-fish eaters compared with the fish eaters whether healthy subjects or non-insulin-dependent diabetics. Proximal resistance of the posterior tibia! artery in non-fish eaters was increased compared with fish eaters in healthy subjects. Overall, food variety, a protective food score consumption and fish consumption emerge as importance determinants of arterial wall characteristics at a stage when no clinical evidence of macrovascular disease is apparent.

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Objective: The evidence treatment gap for patients with type 2 diabetes.
Design: A summary of convenience sample of seven general practices.
Setting: Metropolitan and rural Victoria, Australia.
Participants: 561 patients of general practices (75% from rural general practices).
Main outcome measures: Demographic data, duration of diabetes, diabetes complications, HbA1c and lipid levels, blood pressure and score on PHQ-9.
Results: Patients with depression show more severe, progressive and intensively treated diabetes. The prevalence of depression in diabetes is about twice that of the general population.
Conclusion: Australian guidelines for diabetes should recommend screening for depression.

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Aim. To identify life transitions likely to impact diabetes self-care among young adults with Type 1 diabetes and their coping strategies during transition events.
Background. Relationships among psychosocial stress, adjustment, coping and metabolic control affect clinical outcomes and mental health. Life transitions represent major change and are associated with stress that temporarily affects individuals’ problem-solving, coping abilities and blood glucose levels.
Design. A qualitative interpretive inquiry.
Method. Semi-structured interviews were conducted with 20 young adults with Type 1 diabetes and a constant comparative analysis method. Data and analysis was managed using QSR NVIVO 7 software.
Results. Participants identified two significant transition groups: life development associated with adolescence, going through the education system, entering new relationships, motherhood and the workforce and relocating. Diabetes-related transitions included being diagnosed, developing diabetes complications, commencing insulin pump treatment and going on diabetes camps. Participants managed transitions using ‘strategic thinking and planning’ with strategies of ‘self-negotiation to minimise risks’; ‘managing diabetes using previous experiences’; ‘connecting with others with diabetes’; ‘actively seeing information to ‘patch’ knowledge gaps’; and ‘putting diabetes into perspective’.
Conclusions. Several strategies are used to manage diabetes during transitions. Thinking and planning strategically was integral to glycaemic control and managing transitions. The impact of transitions on diabetes needs to be explored in larger and longitudinal studies to identify concrete strategies that assist diabetes care during life transitions.
Relevance to clinical practice. It is important for health professionals to understand the emotional, social and cognitive factors operating during transitions to assist young adults with Type 1 diabetes to achieve good health outcomes by prioritising goals and plan flexible, timely, individualised and collaborative treatment.

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Background: Complementary and alternative medicine (CAM) is common in patients with chronic disease such as diabetes mellitus. The primary objective of the study was to determine the overall prevalence and type of CAM use in individuals with diabetes mellitus (DM) in Western Sydney and to compare the prevalence and factors associated with CAM use with the literature.

Methods: A multicenter cross-sectional study was undertaken using a self-completed questionnaire distributed to patients with DM attending a public hospital and specialist endocrinology clinics in the region. The type of DM and pattern of CAM utilisation were analyzed.

Results: Sixty nine people responded to the questionnaire: age range of 18-75 years during a twelve week collection period. Overall, 32 respondents with diabetes were using some form of CAM, resulting in a utilisation rate of 46.3%. Twenty of the 32 CAM users used CAM specifically to treat their diabetes accounting for 28.9% of the respondent sample population. Multivitamins (40%), cinnamon, Co-enzyme q10 and prayer were the most frequently used CAM modalities. There was no significant difference between males and females, age range, income or diabetes complications between CAM and non-CAM users. (p values each > 0.05) The factor most significantly associated with CAM usage was being born overseas (p = 0.044).

Conclusions: Almost half the respondents (46.3%) used CAM: 28% used CAM specifically to treat their diabetes. Individuals born overseas were significantly more likely to use CAM than those born in Australia. Other factors such as age, gender, wealth and duration of living with diabetes were not associated with higher rate of CAM usage.

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Aim. To identify life transitions likely to impact diabetes self-care among young adults with Type 1 diabetes and their coping strategies during transition events.

Background. Relationships among psychosocial stress, adjustment, coping and metabolic control affect clinical outcomes and mental health. Life transitions represent major change and are associated with stress that temporarily affects individuals’ problem-solving, coping abilities and blood glucose levels.

Design. A qualitative interpretive inquiry.

Method. Semi-structured interviews were conducted with 20 young adults with Type 1 diabetes and a constant comparative analysis method. Data and analysis was managed using QSR_ NVIVO 7 software.

Results. Participants identified two significant transition groups: life development associated with adolescence, going through the education system, entering new relationships, motherhood and the workforce and relocating. Diabetes-related transitions included being diagnosed, developing diabetes complications, commencing insulin pump treatment and going on diabetes camps. Participants managed transitions using ‘strategic thinking and planning’ with strategies of ‘self-negotiation to minimise risks’; ‘managing diabetes using previous experiences’; ‘connecting with others with diabetes’; ‘actively seeing information to ‘patch’ knowledge gaps’; and ‘putting diabetes into perspective’.

Conclusions. Several strategies are used to manage diabetes during transitions. Thinking and planning strategically was integral to glycaemic control and managing transitions. The impact of transitions on diabetes needs to be explored in larger and longitudinal studies to identify concrete strategies that assist diabetes care during life transitions.

Relevance to clinical practice. It is important for health professionals to understand the emotional, social and cognitive factors operating during transitions to assist young adults with Type 1 diabetes to achieve good health outcomes by prioritising goals and plan flexible, timely, individualised and collaborative treatment.

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A hypoglycemia-induced fall is common in older persons with diabetes. The etiology of falls in this population is usually multifactorial, and includes microvascular and macrovascular complications and age-related comorbidities, with hypoglycemia being one of the major precipitating causes. In this review, we systematically searched the literature that was available up to March 31, 2014 from MEDLINE/PubMed, Embase, and Google Scholar using the following terms: hypoglycemia; insulin; diabetic complications; and falls in elderly. Hypoglycemia, defined as blood glucose <4.0 mmol/L (70 mg/dL) requiring external assistance, occurs in one-third of elderly diabetics on glucose-lowering therapies. It represents a major barrier to the treatment of diabetes, particularly in the elderly population. Patients who experience hypoglycemia are at a high risk for adverse outcomes, including falls leading to bone fracture, seizures, cognitive dysfunction, and prolonged hospital stays. An increase in mortality has been observed in patients who experience any one of these events. Paradoxically, rational insulin therapy, dosed according to a patient's clinical status and the results of home blood glucose monitoring, so as to achieve and maintain recommended glycemic goals, can be an effective method for the prevention of hypoglycemia and falls in the elderly. Contingencies, such as clinician-directed hypoglycemia treatment protocols that guide the immediate treatment of hypoglycemia, help to limit both the duration and severity of the event. Older diabetic patients with or without underlying renal insufficiency or other severe illnesses represent groups that are at high risk for hypoglycemia-induced falls and, therefore, require lower insulin dosages. In this review, the risk factors of falls associated with hypoglycemia in elderly diabetics were highlighted and management plans were suggested. A target hemoglobin A1c level between 7% and 8% seems to be more appropriate for this population. In addition, the first-choice drugs should have good safety profiles and have the lowest probability of causing hypoglycemia - such as metformin (in the absence of significant renal impairment) and incretin enhancers - while other therapies that may cause more frequent hypoglycemia should be avoided.

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Diabetes complications are common and can contribute to unpleasant symptoms, depression and reduced quality of life. A palliative approach to diabetes care in patients with complications, including modified metabolic targets, can reduce symptoms and hospital admissions and improve quality of life and care transitions. GPs have a key role in co-ordinating palliative and end-of-life care in these patients.

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End-of-life care planning is assuming global significance. While general end-of-life care guidelines apply to diabetes, there are some diabetes-specific issues that need to be considered. These include the usual long trajectory to end-of-life care that enables clinicians and people with diabetes to proactively discuss when to change the focus of care from preventing diabetes complications (tight control) to a palliative approach. Palliative care aims to promote comfort and quality of life and reduce the unnecessary burden of care on individuals and their families. The aim of this paper is to discuss common disease trajectories and their relationship to diabetes care, outline strategies for proactively discussing these issues and suggest indications that palliative care is warranted.

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Angiotensin converting enzyme (ACE) polymorphism has been shown to be important in hypertension progression and also in diabetes complications, especially associated with heart disease. Heart rate variability (HRV) is an established measure for classification of autonomic function regulating heart rate, based on the interbeat interval time series derived from a raw ECG recording. Results of this paper show that the length (number of interbeat intervals) and preprocessing of the tachogram affect the HRV analysis outcome. The comparison was based on tachogram lengths of 250, 300, 350, and 400 RR-intervals and five preprocessing approaches. An automated adaptive preprocessing method for the heart rate biosignal and tachogram length of 400 interbeat intervals provided the best classification. HRV results differed for the Type 2 Diabetes Mellitus (T2DM) group between the I/I genotype and the I/D and D/D genotypes, whereas for controls there was no significant difference in HRV between genotypes. Selecting an appropriate length of recording and automated preprocessing has confirmed that there is an effect of ACE polymorphism including the I/I genotype and that I/I should not be combined with I/D genotype in determining the extent of autonomic modulation of the heart rate.

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Cardiac autonomic neuropathy (CAN) poses an important clinical problem, which often remains undetected due difficulty of conducting the current tests and their lack of sensitivity. CAN has been associated with growth in the risk of unexpected death in cardiac patients with diabetes mellitus. Heart rate variability (HRV) attributes have been actively investigated, since they are important for diagnostics in diabetes, Parkinson's disease, cardiac and renal disease. Due to the adverse effects of CAN it is important to obtain a robust and highly accurate diagnostic tool for identification of early CAN, when treatment has the best outcome. Use of HRV attributes to enhance the effectiveness of diagnosis of CAN progression may provide such a tool. In the present paper we propose a new machine learning algorithm, the Multi-Layer Attribute Selection and Classification (MLASC), for the diagnosis of CAN progression based on HRV attributes. It incorporates our new automated attribute selection procedure, Double Wrapper Subset Evaluator with Particle Swarm Optimization (DWSE-PSO). We present the results of experiments, which compare MLASC with other simpler versions and counterpart methods. The experiments used our large and well-known diabetes complications database. The results of experiments demonstrate that MLASC has significantly outperformed other simpler techniques.

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Aims To determine the prevalence and risk factors for neuropathy and peripheral vascular disease (PVD) in the Australian diabetic population and identify those at high risk of foot ulceration.

Methods The Australian Diabetes Obesity and Lifestyle study included 11 247 adults aged ≥ 25 years in 42 randomly selected areas of Australia. Neuropathy and PVD were assessed in participants identified as having diabetes (based on self report and oral glucose tolerance test), impaired fasting glucose, impaired glucose tolerance and in a random sample with normal glucose tolerance (total n = 2436).

Results The prevalence of peripheral neuropathy was 13.1% in those with known diabetes (KDM) and 7.1% in those with newly diagnosed (NDM). The prevalence of PVD was 13.9% in KDM and 6.9% in NDM. Of those with diabetes, 19.6% were at risk of foot ulceration. Independent risk factors for peripheral neuropathy were diabetes duration (odds ratio (95% CI) 1.73 (1.33–2.28) per 10 years), height (1.42 (1.08–1.88) per 10 cm), age (2.57 (1.94–3.40) per 10 years) and uric acid (1.59 (1.21–2.09) per 0.1 mmol/l). Risk factors for PVD were diabetes duration (1.64 (1.25–2.16) per 10 years), age (2.45 (1.86–3.22) per 10 years), smoking (2.07 (1.00–4.28)), uric acid (1.03 (1.00–1.06) per 0.1 mmol/l) and urinary albumin/creatinine ratio (1.11 (1.01–1.21) per 1 mg/mmol).

Conclusions The prevalence of neuropathy and PVD was lower in this population than has been reported in other populations. This may reflect differences in sampling methods between community and hospital-based populations. Nevertheless, a substantial proportion of the diabetic population had risk factors for foot ulceration.

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For individuals with Type 2 diabetes, cardiovascular disease is the principle cause of morbidity and mortality. Lifestyle management is recognized as being an essential part of diabetes and cardiovascular disease prevention. Meta-analyses demonstrate that lifestyle interventions, including diet and physical activity, led to a 63% reduction in diabetes incidence in those at high risk. ‘Real-world’ lifestyle modification programs have demonstrated encouraging improvement in risk factors for diabetes; however, the effect on diabetes incidence has not been reported. It has been demonstrated that lifestyle interventions reduce cardiovascular risk factors; however, data on long-term cardiovascular outcomes is lacking. The aim of this review is to discuss the current evidence of lifestyle interventions in the prevention of diabetes and cardiovascular disease.