Big Data and Artificial Intelligence in Promoting Physical Activity

Regular physical activity (PA) is a cornerstone of public health, contributing to the prevention and management of a wide range of chronic conditions, such as cardiovascular disease, type 2 diabetes, obesity, and depression ( Saint-Maurice et al., 2022 ; Wang et al., 2021 ). Yet, physical inactivity remains prevalent worldwide. According to the World Health Organization (WHO), over a quarter (27%) of adults and over 80% of adolescents globally fail to meet recommended levels of PA ( WHO, 2022 ). Moreover, global burden estimates suggest that physical inactivity contributes to 9% of premature deaths and over five million deaths annually, highlighting the scale of impact on population health ( Lee et al., 2012 ). This ongoing challenge has prompted public health practitioners to seek innovative, scalable, and cost-effective approaches to motivate individuals to become more active and sustain healthy behavior over time.