#GenderInequality

A groundbreaking new study using artificial intelligence (AI) and machine learning has revealed the most crucial factors that keep people committed to their exercise routines: how much time they spend sitting, their gender, and their education level. Published in the prestigious journal Scientific Reports, this research analyzed health data from nearly 12,000 individuals, offering fresh insights into what helps people meet physical activity guidelines—a finding with important implications for Thailand, where sedentary lifestyles are increasingly common.

A new study using artificial intelligence and machine learning identifies the three strongest predictors of sticking with an exercise routine: sedentary time, gender, and education level. Published in Scientific Reports, the research analyzed health data from nearly 12,000 individuals to understand who meets physical activity guidelines. The findings carry meaningful implications for Thailand, where sedentary lifestyles are rising amid urban life.

Regular exercise is essential for preventing chronic diseases. In Thailand, long hours at desks and routine traffic congestion increase the risk of inactivity-related illnesses such as diabetes and heart disease. Thai health authorities recommend at least 150 minutes of moderate activity or 75 minutes of vigorous activity each week. Yet many Thai people struggle to reach these targets, underscoring the need for effective, culturally informed strategies.