The study described here applies a variety of statistical methods to develop strategies to determine meal based dietary patterns within nationally representative food consumption databases. The work will apply methods such as Principal component analysis, latent class analysis, basket set analysis, topic models and others to explore methods to accurately identify meal based dietary patterns for use in personalised nutrition.