Many prevention and intervention measures are still targeting isolated behaviours such as
tobacco use or physical inactivity. Cluster analysis enables the aggregation of single health behaviours in
order to identify distinctive behaviour patterns. The purpose of this study was to group a sample of the
over-50 population into clusters that exhibit specific health behaviour patterns regarding regular
tobacco use, excessive alcohol consumption, unhealthy diet and physical inactivity.