Myocardial strain analysis is a promising tool for the detection of subtle but relevant alterations of left ventricular function, also in asymptomatic subjects. Thus, we determined the feasibility of cardiac MR-based 2D global strain analysis using feature tracking and its association with cardiovascular risk factors in a sample from the general population.Materials and Methods: Subjects without history of cardiocerebrovascular disease were enrolled in a sub-study of the population-based KORA (Cooperative Health Research in the Region of Augsburg) cohort. In all participants with absence of late gadolinium enhancement, longitudinal and circumferential global strain were measured on Cine SSFP imaging (TR: 29.97ms, TE: 1.46ms, ST: 8mm), using a semiautomatic segmentation algorithm (CVI42, Circle, Canada). Differences in strain values according to age, gender, BMI, hypertension, diabetes mellitus and hyperlipidemia were derived using linear regression analysis.Results: Among 360 subjects (mean age, 56.2±9.2 years, 57% male), average global systolic radial strain was 40.1±8.2%, circumferential 19.9±2.7% and longitudinal 19.8±3.2%.Male gender was associated with decreased global strain values, independent of the strain direction (all p<0.001). While many cardiovascular risk factors were correlated with strain in univariate analysis, mainly waist-to-hip ratio and HbA1c remained associated with decreased radial and circumferential strain in fully adjusted models. Similarly, higher radial and circumferential strain was observed in older subjects (β=0.14, p=0.01 and β=0.11, p=0.04, respectively).