This review found no clear or consistent evidence that genetic risk communication alone either raises motivation or translates into actual change in dietary intake or physical activity to reduce the risk of cardiometabolic disorders in adults .
Genetic risk prediction of chronic conditions including obesity , diabetes and CVD currently has limited predictive power but its potential to engage healthy behaviour change has been of immense research interest .
We aim ed to underst and whether the latter is indeed true by conducting a systematic review and meta- analysis investigating whether genetic risk communication affects motivation and actual behaviour change towards preventative lifestyle modification .
Personalized Nutrition by Prediction of Glycemic Responses
Elevated postpr and ial blood glucose levels constitute a global epidemic and a major risk factor for prediabetes and type II diabetes , but existing dietary methods for controlling them have limited efficacy . Here , we continuously monitored week-long glucose levels in an 800-person cohort , measured responses to 46,898 meals , and found high variability in the response to identical meals , suggesting that universal dietary recommendations may have limited utility . We devised a machine-learning algorithm that integrates blood parameters , dietary habits , anthropometrics , physical activity , and gut microbiota measured in this cohort and showed that it accurately predicts personalized postpr and ial glycemic response to real-life meals . We vali date d these predictions in an independent 100-person cohort . Finally , a blinded r and omized controlled dietary intervention based on this algorithm result ed in significantly lower postpr and ial responses and consistent alterations to gut microbiota configuration . Together , our results suggest that personalized diets may successfully modify elevated postpr and ial blood glucose and its metabolic consequences . VIDEO ABSTRACT
This review found no clear or consistent evidence that genetic risk communication alone either raises motivation or translates into actual change in dietary intake or physical activity to reduce the risk of cardiometabolic disorders in adults .
Genetic risk prediction of chronic conditions including obesity , diabetes and CVD currently has limited predictive power but its potential to engage healthy behaviour change has been of immense research interest .
We aim ed to underst and whether the latter is indeed true by conducting a systematic review and meta- analysis investigating whether genetic risk communication affects motivation and actual behaviour change towards preventative lifestyle modification .