Scientists have developed a mathematical model that promises to optimise training for competitors in 400-metre and 1,500-metre athletics events, according to a study published Tuesday.
The model is based on performance data gathered from elite athletes including Olympic 1,500 metres champion Jakob Ingebrigtsen of Norway, Dutch world indoor 400m world record holder Femke Bol and Britain's Matthew Hudson-Smith at the 2022 European Championships in Munich.
"We wanted to understand what was happening at the physiological level in a 400 metres, which is a sprint, and a 1,500 metres, which is the first endurance race," Amandine Aftalion, co-author of the study published in the journal Frontiers in Sports and Active Living, told AFP.
