Complex associations between alcohol consumption, cigarette smoking, eating habits and physical exercise are explored. Data from the 1985 German Cardiovascular Prevention Study are used to explore associations between these behaviours, separate for young men (n = 561) and young women (n = 509) between 25 to 34 years of age. Analyses concern three forms of associations: 1. associations between different categories of single health behaviours; 2. associations between various health behaviours, and 3. associations between health behaviours and their social determinants. Contigency tables, cluster analyses and logistic regression analyses are applied. Cluster analyses identified subgroups with particular health behaviour patterns. One distinct pattern, similarly among men and women, was typified by increased physical exercise, less smoking and increased beer consumption. For young men, results from regression analyses showed significant effects of higher income and positive health attitudes on belonging to this distinct cluster. For young women cluster membership was significantly correlated with higher education and positive health attitudes. Results of the statistical analyses demonstrate the usefulness of a multi-methods approach in studying complex behaviour patterns. Finally the relevance of the present findings for future studies and applications is indicated.