Personalized lifestyle approaches: from sports to medical diagnostics

Ahmad Alkhatib

Research output: Contribution to journalConference articlepeer-review


Inter-and intra-individual variability has been often reported amongst elite athletes and patient groups, despite sharing similar physical characteristics, exercise training, performance assessment methods and nutritional dietary intake habits. Such differences can be deterimental to their response or effects of exercise or nutritional interventions, whether to enhance sports performance, or to prevent and treat lifestyle diseases such as diabetes and cardiovascular disease. It can also explain the differences in long term adherence to the prescribed changes in lifestyle. Adopting individualized exercise and nutritional models includes combining innovative screening and assessment methods for exercise physiological capacity (e.g. individualized metabolic exercise intensity), applying novel biological measurement techniques (e.g. applying an omics approach to detect nutraceutical effectiveness), and understanding of the behavioural lifestyle components. Exercise and nutritional interventions are most effective with such a personalized appraoch. Such approach helps to effectively detect clinically-meaningful differences, which makes the finest difference in effectiveness of treating a metabolic disease or even determining the margin of winning a sports medal. Advanced precision medicine and personalized lifestyle approaches combining both nutrition and exercise requires continuous development of novel assessment methods and requires a multi-progned approach. The future in this field is promising.
Original languageEnglish
JournalJournal of Sports Medicine & Doping Studies
Publication statusPublished - 14 Nov 2018
Event4th International Conference on Sports Medicine and Fitness
- Edinburgh, United Kingdom
Duration: 14 Nov 201815 Nov 2018


Dive into the research topics of 'Personalized lifestyle approaches: from sports to medical diagnostics'. Together they form a unique fingerprint.

Cite this