“…Furthermore, individual differences in cognitive reserve (Stern, 2009(Stern, , 2012, or resilience to neuropathological changes typically associated with ageing, could influence differences in age-prediction scores. Future studies might therefore aim to investigate these difference scores in the context of cognitive functions known to change with age, such as memory and reaction time (Grady, 2012), as well as reserve-related mechanisms including education, socioeconomic status, and lifestyle (Anatürk et al, 2021) Previous studies have demonstrated that variation in predicted brain age is partly explained by individual differences in body composition and health traits, including abdominal fat (Beck, de Lange, Pedersen, et al, 2022;Schindler et al, 2022;Subramaniapillai et al, 2022), muscle-fat infiltration (Beck, de Lange, Alnaes, et al, 2022), hand-grip strength (Cole et al, 2018;Sanders et al, 2021) and muscle volume (Beck, de Lange, Alnaes, et al, 2022). Our findings support these previous reports, but also suggest that health traits may differentially influence age predictions beyond what is captured by the brain imaging measures.…”