Lifestyle and outcome among patients with type 2 diabetes

Personalized optimal nutrition lifestyle for self obesity management using metaalgorithms

Precision medicine applies machine learning methods to estimate the personalized optimal treatment decision based on individual information, such as genetic data and medical history. The main purpose of self obesity management is to develop a personalized optimal life plan that is easy to implement and adhere to, thereby reducing the incidence of obesity and obesity-related diseases. The methodology comprises three components. First, we apply catboost, random forest and lasso covariance test to evaluate the importance of individual features in forecasting body mass index. Second, we apply metaalgorithms to estimate the personalized optimal decision on alcohol, vegetable, high caloric food and daily water intake respectively for each individual. Third, we propose new metaalgorithms named SX and SXwint learners to compute the personalized optimal decision and compare their performances with other prevailing metalearners. We find that people who receive individualized optimal treatment options not only have lower obesity levels than others, but also have lower obesity levels than those who receive ’one-for-all’ treatment options. In conclusion, all metaalgorithms are effective at estimating the personalized optimal decision, where SXwint learner shows the best performance on daily water intake.

Physical activity: The importance of the extended theory of planned behavior, in type 2 diabetes patients

This study focused on the contribution of the extended theory of planned behavior regarding intention to perform physical activity, adherence to physical activity, and its mediator role in the relationship between trust in the physician and adherence to physical activity, in a sample of 120 patients with type 2 diabetes. The results revealed that positive attitudes and perception of control predicted a stronger intention to do physical activity. The intention to do physical activity was the only predictor of adherence to physical activity. Planning mediated the relationship between trust in the physician and adherence. Implications for patients with type 2 diabetes are discussed.