Background: Elevated levels of depressive symptoms among medical students have been the subject of international and national research before, yet associated risk factors and protective factors are to be determined. This study aims to show the burdens of depression at different stages of academic medical education with a special emphasis on correlated risk factors and protective factors. Methods: A total number of n=1103 medical students of a middle-sized German university were sampled and surveyed regarding depressive symptoms and correlating factors. The assessment of potential depressive symptoms was based on the BDI-II. Correlating factors were surveyed through a self-designed questionnaire consisting of possible cofactors for depressive symptoms based on established scientific literature. Results: Survey response rate was 90.2% (1103/1223). The prevalence of depressive symptoms was 11% for mild, 5.6% for moderate and 2.4% for severe symptoms. The sample’s most prevalent risk factors were feeling unable to confide one’s own worries to someone else (88%); and experiencing a lack of time for partner, friends and family (77%) or hobbies (76%). Significant predictors for depressive symptoms were neuroticism above all, insufficient emotional support, eating irregular meals, use of medication or drugs to calm down, and mental overload. Factors associated with less depressive symptoms could be identified as: spending time with partner, friends, family, hobbies and exercise; and confiding worries to classmates. Conclusions: Every fifth medical student surveyed reported at least mild depressive symptoms. The majority of the surveyed medical students felt unable to confide their worries to someone else and lamented not having enough time for social interaction with peers, family and hobbies. Certain personality traits – such as neuroticism – and insufficient emotional support showed to play important roles in making medical students more prone to developing depressive symptoms. Based on this research, control of the surveyed cofactors associated with depressive symptoms and possible intervention programs targeted to these are proposed to be a key subject of further research.