14 research outputs found

    Exercise and nutrition in type 1 diabetes : Insights from the FinnDiane cohort

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    Type 1 diabetes is a challenging disease, characterized by dynamic changes in the insulin need during life periods, seasons of the year, but also by everyday situations. In particular, changes in insulin need are evident before, during and after exercise and having meals. In the midst of different life demands, it can be very burdensome to achieve tight glycemic control to prevent late diabetes complications, and at the same time, to avoid hypoglycemia. Consequently, many individuals with type 1 diabetes are faced with diabetes distress, decreasing profoundly their quality of life. Today, the nationwide Finnish Diabetic Nephropathy (FinnDiane) Study, launched in 1997, has gathered data from more than 8,000 well-characterized individuals with type 1 diabetes, recruited from 93 centers all over Finland and has established its position as the world's leading project on studying complications in individuals with type 1 diabetes. Studying risk factors and mechanisms of diabetes complications is inconceivable without trying to understand the effects of exercise and nutrition on glycemic control and the development of diabetes complications. Therefore, in this paper we provide findings regarding food and exercise, accumulated during the 25 years of studying lives of Finnish people with type 1 diabetes.Peer reviewe

    Long-term population-based trends in the incidence of cardiovascular disease in individuals with type 1 diabetes from Finland : a retrospective, nationwide, cohort study

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    Background Cardiovascular disease is the main determinant of premature mortality in patients with type 1 diabetes. However, time trends regarding different types of cardiovascular disease in childhood-onset type 1 diabetes with a long timespan from the diagnosis of diabetes are not well established. This study aimed to investigate the cumulative incidence of cardiovascular disease in individuals with type 1 diabetes in a population-based cohort in Finland, the country with the world's highest incidence of type 1 diabetes. Methods In this retrospective, nationwide registry-based, cohort study, all patients who were diagnosed between Jan 1, 1965, and Dec 31, 1999 with type 1 diabetes when they were younger than 15 years old in Finland were followed up and monitored for the occurrence of cardiovascular disease (including coronary artery disease, stroke, peripheral artery disease, and heart failure) until the end of 2016 and for cardiovascular disease mortality until 2017. Cumulative incidences of cardiovascular disease were calculated by the Fine and Gray method according to the year of diabetes diagnosis using six diagnosis cohorts: 1965-69, 1970-74, 1975-1979, 1980-84, 1985-89, 1990-94, and 1990-95. Trends in cardiovascular disease event rates were analysed by Fine and Gray competing risks regression models using year of diabetes diagnosis as continuous variable. In addition, non-linearity in trends was assessed with restricted cubic splines. The excess risk of coronary artery disease and stroke was estimated by comparison with the risk in the Finnish general population by calculating standardised incidence ratios (SIRs) and their time trends. The data for Finnish general population were drawn from the Cardiovascular Disease Register of the National Institute of Health and Welfare. The SIRs were calculated as ratios of observed and expected number of events in individuals with type 1 diabetes during 1991-2014. Findings 11 766 individuals were included in this study. During 361 033 person-years of follow-up and a median of 29.6 years (IQR 22.3-37.9) follow-up, a total of 1761 individuals had single or multiple types of cardiovascular disease events. 2686 events (864 [32.2%] coronary artery disease events, of which 663 were acute myocardial infarctions; 497 [18.5%] strokes; 854 [31.8%] peripheral artery diseases, of which 498 were lower extremity amputations; and 471 [17.5%] heart failure events) were reported until Dec 31, 2016, and 1467 deaths until Dec 31, 2017. Cardiovascular disease risk decreased linearly by 3.8% (hazard ratio [HR] 0.96 [95% CI 0.96-0.97]; p Interpretation The risk of cardiovascular disease has decreased over time in Finland in individuals with childhood onset type 1 diabetes. However, there is still considerable excess cardiovascular disease risk in individuals with type 1 diabetes compared with the general population. These results highlight the need for studies on the mechanisms of atherosclerosis from the time of diagnosis of type 1 diabetes to facilitate early and effective prevention of cardiovascular disease in these individuals. Copyright (C) 2021 Elsevier Ltd. All rights reserved.Peer reviewe

    Physical Activity in the Prevention of Development and Progression of Kidney Disease in Type 1 Diabetes

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    Purpose of Review Physical activity is a fundamental part of lifestyle management in diabetes care. Although its benefits are very well recognized in the general population and in people with type 2 diabetes, much less is known about the effects of exercise in type 1 diabetes. In particular, exercise effects in relation to diabetic kidney disease (DKD) are understudied. Some uncertainties about physical activity recommendations stem from the fact that strenuous exercise may worsen albuminuria immediately after the activity. However, in middle-aged and older adults without diabetes, observational studies have suggested that physical activity is associated with a decreased risk of rapid kidney function deterioration. In this review, we focus on the role of physical activity in patients with DKD and type 1 diabetes.\ Recent Findings Hereby, we present data that show that in individuals at risk of DKD or with established DKD, regular moderate-to-vigorous physical activity was associated with reduced incidence and progression of DKD, as well as reduced risk of cardiovascular events and mortality. Summary Therefore, regular moderate-to-vigorous exercise should become a central part of the management of individuals with type 1 diabetes, in the absence of contraindications and accompanied with all needed educational support for optimal diabetes management.Peer reviewe

    Sphingomyelin and progression of renal and coronary heart disease in individuals with type 1 diabetes

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    Aims/hypothesis Lipid abnormalities are associated with diabetic kidney disease and CHD, although their exact role has not yet been fully explained. Sphingomyelin, the predominant sphingolipid in humans, is crucial for intact glomerular and endothelial function. Therefore, the objective of our study was to investigate whether sphingomyelin impacts kidney disease and CHD progression in individuals with type 1 diabetes. Methods Individuals (n = 1087) from the Finnish Diabetic Nephropathy (FinnDiane) prospective cohort study with serum sphingomyelin measured using a proton NMR metabolomics platform were included. Kidney disease progression was defined as change in eGFR or albuminuria stratum. Data on incident end-stage renal disease (ESRD) and CHD were retrieved from national registries. HRs from Cox regression models and regression coefficients from the logistic or linear regression analyses were reported per 1 SD increase in sphingomyelin level. In addition, receiver operating curves were used to assess whether sphingomyelin improves eGFR decline prediction compared with albuminuria. Results During a median (IQR) 10.7 (6.4, 13.5) years of follow-up, sphingomyelin was independently associated with the fastest eGFR decline (lowest 25%; median [IQR] for eGFR change: <-4.4 [-6.8, -3.1] ml min(-1)[1.73 m(-2)] year(-1)), even after adjustment for classical lipid variables such as HDL-cholesterol and triacylglycerols (OR [95% CI]: 1.36 [1.15, 1.61],p < 0.001). Similarly, sphingomyelin increased the risk of progression to ESRD (HR [95% CI]: 1.53 [1.19, 1.97],p = 0.001). Moreover, sphingomyelin increased the risk of CHD (HR [95% CI]: 1.24 [1.01, 1.52],p = 0.038). However, sphingomyelin did not perform better than albuminuria in the prediction of eGFR decline. Conclusions/interpretation This study demonstrates for the first time in a prospective setting that sphingomyelin is associated with the fastest eGFR decline and progression to ESRD in type 1 diabetes. In addition, sphingomyelin is a risk factor for CHD. These data suggest that high sphingomyelin level, independently of classical lipid risk factors, may contribute not only to the initiation and progression of kidney disease but also to CHD

    Carbohydrate Intake and Closed-Loop Insulin Delivery System during Two Subsequent Pregnancies in Type 1 Diabetes

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    Carbohydrate intake is one of the main determinants of glycemic control. In pregnancy, achievement of tight glycemic control is of utmost importance; however, data on the role of hybrid closed-loop systems (HCLs) in pregnancy are scarce. Therefore, we aimed to assess glycemic control achieved through the use of HCLs, and its association with carbohydrate intake in type 1 diabetes pregnancy. We included data from women with a sensor-augmented pump (SAP) during their first pregnancy and HCL use during the subsequent pregnancy. Student’s paired t-test was used to compare data between both pregnancies. Six women were identified, with age 30.2 ± 3.6 vs. 33.0 ± 3.6 years, diabetes duration 23 ± 5 vs. 26 ± 5 years, and baseline HbA1c 6.7 ± 0.7% (50.1 ± 7.7 mmol/mol) vs. 6.3 ± 0.6% (45.2 ± 6.5 mmol/moll) in the first and second pregnancies, respectively. Time with glucose in the range 3.5–7.8 mmol/L was 69.1 ± 6.7 vs. 78.6 ± 7.4%, p = 0.045, with the HCLs compared to SAP. Higher meal frequency, but not the amount of carbohydrate consumption, was associated with more time spent in the target range and lower glycemic variability. HCLs and meal frequency were associated with better glycemic control in a small series of pregnant women with type 1 diabetes. Whether this translates to better perinatal outcomes remains to be seen

    Sphingomyelin and progression of renal and coronary heart disease in individuals with type 1 diabetes

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    Aims/hypothesis Lipid abnormalities are associated with diabetic kidney disease and CHD, although their exact role has not yet been fully explained. Sphingomyelin, the predominant sphingolipid in humans, is crucial for intact glomerular and endothelial function. Therefore, the objective of our study was to investigate whether sphingomyelin impacts kidney disease and CHD progression in individuals with type 1 diabetes. Methods Individuals (n = 1087) from the Finnish Diabetic Nephropathy (FinnDiane) prospective cohort study with serum sphingomyelin measured using a proton NMR metabolomics platform were included. Kidney disease progression was defined as change in eGFR or albuminuria stratum. Data on incident end-stage renal disease (ESRD) and CHD were retrieved from national registries. HRs from Cox regression models and regression coefficients from the logistic or linear regression analyses were reported per 1 SD increase in sphingomyelin level. In addition, receiver operating curves were used to assess whether sphingomyelin improves eGFR decline prediction compared with albuminuria. Results During a median (IQR) 10.7 (6.4, 13.5) years of follow-up, sphingomyelin was independently associated with the fastest eGFR decline (lowest 25%; median [IQR] for eGFR change:Peer reviewe
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