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Do diabetics have shorter life expectancy compared to non-diabetic people? 


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People with diabetes, both type 1 and type 2, generally have a shorter life expectancy compared to non-diabetic individuals. For individuals aged 45, those with type 1 diabetes live on average 13 years less than those without diabetes, while those with type 2 diabetes live around 4 years less . Diabetes remains a significant risk factor for premature death, with approximately 26.6% of deaths in 2019 being of people with diabetes, resulting in around 40,000 excess deaths compared to the general population . Additionally, individuals with type 2 diabetes treated with metformin showed shorter survival times compared to matched controls over a twenty-year period . The mortality associated with both type 1 and type 2 diabetes leads to a loss of future life years, emphasizing the importance of effective engagement with therapy and lifestyle recommendations .

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Diabetics, including those treated with metformin, have shorter life expectancy compared to non-diabetic individuals over a twenty-year period, as per the study findings.
Diabetics, especially those with T1DM and T2DM, have a shorter life expectancy compared to non-diabetic individuals, resulting in significant life years lost due to the condition.
People with diabetes, especially type 1, have a substantially lower life expectancy compared to non-diabetic individuals, with type 1 diabetes associated with a 13-year reduction and type 2 with a 4-year reduction.
Diabetics have a stable life years lost compared to non-diabetics, with no significant change over 15 years, indicating a similar life expectancy between the two groups.

Related Questions

What is the association between lifestyle and mortality risk in people with diabetes?4 answersAdherence to a healthy lifestyle significantly reduces mortality risk in individuals with diabetes. Multiple studies highlight the importance of lifestyle factors such as non-smoking, moderate alcohol consumption, regular physical activity, healthy diet, and optimal body weight in lowering the risk of cardiovascular disease (CVD) mortality, all-cause mortality, and diabetes-related adverse outcomes. The combination of low-risk lifestyle factors was found to be as crucial as achieving ideal blood pressure and glycemic control in preventing diabetes-related complications and mortality. Moreover, a healthy lifestyle was associated with a lower risk of cardiovascular events and mortality in diabetic individuals, emphasizing the significance of promoting healthy habits to reduce the healthcare burden of diabetes.
How does survival bias affect the accuracy of cross-sectional studies in diabetes?5 answersSurvival bias significantly impacts the accuracy of cross-sectional studies in diabetes by underestimating risks associated with the disease. This bias arises from excluding fatal endpoints, leading to a substantial risk underestimation, especially in genotype-dependent survival scenarios. Studies show that misconceptions about diabetes hinder effective management, with factors like low education and specific treatments contributing to prevalent misconceptions among diabetic patients. Additionally, research on death rates among diabetic populations highlights the importance of accurate estimates, with survival ratios and parametric rates aiding in overcoming sampling variations. In epidemiologic studies, length-biased sampling can pose challenges in analyzing time-to-event outcomes, particularly when coupled with censoring, necessitating specialized models for accurate analysis.
Is there a gebetic difference in intelligence between different races?4 answersThere is evidence suggesting that there are genetic differences in intelligence between different races. Studies have shown that intelligence tests are good predictors of school and job performance, and there are common racial/ethnic differences in mean IQ. Based on research, it has been proposed that genetic factors play a role in these differences in general intelligence (g) across different racial or ethnic groups. Twin studies have indicated that intelligence and brain volume have moderate to high heritability for both White and non-White populations, with low variance attributable to shared environment. Additionally, genetic ancestry and education-related polygenic scores have been found to predict both brain volume and intelligence within racial or ethnic groups. These findings support the hypothesis that there are partly genetic causes of intelligence differences between races.
When rate is compared with the diabetic population in other studies examining the prevalence of DRP?3 answersThe prevalence of diabetic retinopathy (DRP) varies when compared with the diabetic population in other studies. In one study by Knudsen et al., the point prevalence of proliferative retinopathy was found to be 0.8% and 0.3% for type 1 and type 2 diabetes, respectively. Another study by Lu et al. reported an overall prevalence of DPN across different countries to be 26.71%, with country-specific prevalences showing considerable variation. Tesfaye and Selvarajah found a prevalence of 28% for DPN in the Eurodiab baseline DPN study. Additionally, Michaelis and Jutzi observed an increase in relative mortality rates in the diabetic population of the GDR, with rates ranging from 466% to 600% in insulin-treated diabetics and from 352% to 528% in non-insulin-treated diabetics. Therefore, the prevalence of DRP can differ depending on the population studied and the specific risk factors considered.
Is the level of serum myeloperoxidase lower in diabetic patients than in non-diabetic patients?3 answersThe level of serum myeloperoxidase is lower in diabetic patients compared to non-diabetic patients.
Are there any differences in the apoptosis of diabetic and non-diabetic cells?5 answersThere are differences in the apoptosis of diabetic and non-diabetic cells. Diabetic cells, specifically β-cells, show increased DNA damage and DNA strand breaks (DSBs), leading to overexpression of p21, a key player in the DNA damage response (DDR) pathway. This overexpression of p21 prevents apoptosis and triggers the p53/p21 cellular response. In the hippocampal CA1 region, diabetes stimulates apoptosis and promotes cell proliferation, leading to increased apoptotic cells and astrocyte cell density in diabetic individuals. Hyperglycemia in cells from children of diabetes mellitus pregnancies (DMPs) also increases apoptosis and affects mRNA expression of genes involved in apoptosis and cellular response. In gingival connective tissue, apoptosis is increased in diabetic patients with chronic periodontitis compared to non-diabetic individuals, suggesting a role for pro-apoptotic proteins in the pathogenesis of periodontal disease in diabetes. Opium addiction has been shown to increase apoptosis in ovary cells, with non-diabetic rats being more susceptible to opium-induced apoptosis than diabetic rats.

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