The aim of these analyses is to identify determinants of diastolic dysfunction in individuals with T2DM. Outcome and potential explanatory variables will be summarized using mean (standard deviation) for normally distributed continuous variables, median (interquartile range) for non-normally distributed continuous variables, and count (percentage) for categorical variables. We anticipate including the following potential explanatory variables: duration of diabetes, age, sex, myocardial and liver triglyceride content, myocardial perfusion reserve, blood pressure, HBA1c, blood pressure and myocardial extracellular volume. Univariate linear regression models will then be fitted with diastolic strain rate as the outcome, and each of the explanatory variables under consideration as the covariate in turn to identify factors associated with diastolic strain rate. Variables that have a significant univariate association with diastolic strain rate will be entered into a multivariate regression analysis to determine independent associations with diastolic strain rate. Redundant variables will be removed in a stepwise manner, based on a significance level of 0.05.