Browsing by Subject "FINNDIANE"
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(2016)Aims: Diet plays an important role in the management of type 1 diabetes. However, the association between dietary intake and health has not been extensively studied in this population. We studied the cross-sectional association between dietary factors, and selected vascular health markers and complications in type 1 diabetes. Methods: Data from 874 individuals with type 1 diabetes participating in the FinnDiane Study were included. Dietary intake was assessed using a self-reported questionnaire and a diet score, expressing the extent to which individuals adhered to the dietary recommendations, was calculated. Diet questionnaire was also used to reveal dietary patterns using factor analysis. Results: Seven factors with high degree of inter-correlation were formed; healthy, traditional, vegetable, sweets, modern, low-fat cheese, and fish and eggs. In multivariate models, higher diet score and healthy factor score were associated with better glycaemic control. Higher diet score was associated with higher, while sweets, and fish and eggs patterns were associated with lower systolic blood pressure. Healthy, sweets, and fish and eggs factors were additionally associated with lower diastolic blood pressure. Conclusions: Closer adherence to the dietary recommendations, and a diet high in fresh vegetables, fruits and berries, cooked vegetables, fish dishes, and yoghurt may be beneficial for the glycaemic control in type 1 diabetes. Moreover, a diet pattern with fish and eggs may have beneficial effects for blood pressure. (C) 2016 Published by Elsevier Inc.
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(2017)Aims/hypothesis Cardiovascular disease (CVD) is the most common cause of premature death and disability among patients with type 1 diabetes. Diabetic nephropathy accounts for the increased cardiovascular morbidity and mortality of these patients. We recently showed that the intensity of exercise predicts the incidence and progression of diabetic nephropathy in patients with type 1 diabetes. Little is known about the relationship between physical activity and CVD. Therefore, we studied how physical activity affects the risk of CVD events in patients with type 1 diabetes. Methods A 10 year follow-up study including 2180 type 1 diabetes patients from the nationwide multicentre Finnish Diabetic Nephropathy Study (FinnDiane). Leisure time physical activity (LTPA) was assessed by a previously validated self-report questionnaire. A CVD event was defined as a verified myocardial infarction, coronary procedure or stroke. Patients were analysed separately for the risk of developing a first ever CVD event and for the risk of a recurrent CVD event following a baseline event. Results A total of 206 patients had an incident CVD event during follow-up. A higher total LTPA and higher intensity, frequency and duration of activity were associated with a lower risk of incident CVD events. The observed association between exercise frequency and incident CVD remained significant when adjusted for classic risk factors. Exercise intensity also had a borderline effect on the recurrence-free time in patients with a major CVD event at baseline. Conclusion/interprelation This study suggests that exercise, particularly high frequency and high intensity exercise, may reduce the risk of CVD events in patients with type 1 diabetes.
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(2018)Elevated urinary albumin excretion (microalbuminuria) is an early marker of diabetic nephropathy, but there is an unmet need for better biomarkers that capture the individuals at risk with higher accuracy and earlier than the current markers do. We performed an untargeted metabolomic study to assess baseline differences between individuals with type 1 diabetes who either developed microalbuminuria or remained normoalbuminuric. A total of 102 individuals progressed to microalbuminuria during a median follow-up of 3.2 years, whereas 98 sex-, age- and body mass index (BMI) matched nonprogressors remained normoalbuminuric during a median follow-up of 7.1 years. Metabolomic screening identified 1,242 metabolites, out of which 111 differed significantly between progressors and non-progressors after adjustment for age of diabetes onset, baseline glycosylated hemoglobin A1c (HbA(1c)), and albumin excretion rate (AER). The metabolites that predicted development of microalbumiuria included several uremic toxins and carnitine metabolism related molecules. Iterative variable selection indicated erythritol, 3-phenylpropionate, and N-trimethyl-5-aminovalerate as the best set of variables to predict development of microalbuminuria. A metabolomic index based on these metabolites improved the prediction of incident microalbuminuria on top of the clinical variables age of diabetes onset, baseline HbA1c and AER (ROCAUC = 0.842 vs 0.797), highlighting their ability to predict early-phase diabetic nephropathy.
