Exploring factors affecting workers' acquisition of exercise habits using machine learning approaches

Researchers analyzed data from middle-aged workers who had received Specific Health Guidance -- a revolutionary system implemented by the Japanese Ministry of Health, Labor, and Welfare to improve lifestyle habits for individuals with metabolic syndrome and those at presumptive risk of metabolic syndrome. Using machine learning approaches, they explored the factors that affect the acquisition of exercise habits. The results revealed that the most crucial factor that positively impacts the acquisition of exercise habits is 'the higher stages of lifestyle behavior based on the transtheoretical model.'

source https://www.sciencedaily.com/releases/2024/11/241122130503.htm