#Bigdata

A new AI-driven study sheds light on why some people stick to exercise while others abandon routines. Using data from nearly 12,000 individuals, researchers found three strong predictors of meeting weekly activity guidelines: daily sedentary time, gender, and educational attainment. The results suggest tailored health advice and smarter public campaigns could help people stay active, including in Thailand.

Thailand faces rising health risks from obesity, heart disease, and diabetes. Urban life and demanding work schedules can limit time for movement, while long commutes and crowded cities encourage sedentary habits. Thailand’s Health Promotion Foundation reports that only about 40% of Thais exercise regularly, underscoring the need for effective, culturally relevant strategies. The study’s insights offer a practical framework for policymakers and health professionals working toward healthier communities.

A groundbreaking study using artificial intelligence (AI) has taken a scientific leap in answering an age-old question: why do some people stick with regular exercise, while others quickly fall off the wagon? By analyzing the habits and characteristics of nearly 12,000 individuals, a research team from the University of Mississippi has identified three surprisingly robust predictors of exercise adherence—how much time you spend sitting, your gender, and your education level—shedding new light on what keeps people committed to their fitness goals. This finding could open the door to more individualized health advice and smarter public health campaigns worldwide, including here in Thailand (Neuroscience News, Science Daily).