This report explores the use of association rule mining techniques: Apriori, FP-Growth style pattern mining, and ECLAT to identify co-occurring health risk factors across countries. Using 2015 data from the WHO Global Health Observatory, the analysis treats each country as a transaction and examines patterns involving BMI, cholesterol, depression, and alcohol consumption.