Personalized Nutrition & Communication (WP 3-5)

Successful means for modifying dietary habits

Nutrition App "Nutrilize" ©Mira Madenach/TUM

 Participants for testing Nutrilize wanted!

In enable subproject a nutrition app, Nutrilize, has been developed that offers automated and personalized nutrition recommendations. To investigate the extent to which the Nutrilize app is suitable to help people change their dietary habits and to maintain a healthy diet, we are looking for study participants. The study participants will use and evaluate the smartphone app within a 6-months study with a follow-up after a total of 9 months.

If you are interested, please contact us under info[at]nutrilize.de

All informations about the study you will find under https://www.nutrilize.de.

Nutrilize - Personalized Nutrition by Using an App

Nutrilize provides automated and personalized recommendations that take into account your personal lifestyle, health, and metabolism. The goal is to improve nutrition behavior and stimulate a healthier lifestyle.

With the smartphone app we want to reach more people than with conventional nutrition advice, which is not available or affordable for many people. The app provides an interesting alternative to conventional methods, as you can enter data from home or from the road and immediately get recommendations back. In addition, the app makes it easy to track your personal progress, allowing you to keep track of them.

Successful means for modifying dietary habits

Nutrition & Health
Nutrition has a significant impact on health and plays an important role in the development of chronic diseases such as diabetes mellitus and cardiovascular diseases. Nutritional recommendations as a preventive measure are often based on general population guidelines, without addressing individual factors. In the EU-funded project Food4Me (www.food4me.org) first steps were taken towards a personalized dietary intervention.

Personalized Nutrition
In subproject 3-5 of the enable cluster, this approach is continued and new methods for the individualization of nutritional recommendations are developed and the effectiveness on health behavior will be examined. Recommendations are based on food preferences, nutrient uptake, health-relevant blood parameters and physical activity. The collection of the individual data and the output of the personalized nutritional recommendations are carried out via a smartphone app.

Due to the high number of smartphone owners and app users, a mobile nutrition app represents a good way to reach many people and make nutritional interventions easier for both the scientists/nutritionists and the participants of the intervention. Smartphone app based interventions have already been successful in reducing body weight and stimulating physical activity. However, there is a lack of data that investigates nutritional behavior in this context.

Nutrilize - Smartphone App for Personalized Nutrition ©Mira Madenach/TUM

Aim of the study
The aim of this study is to evaluate the extent to which automated personalized nutritional recommendations are more effective in improving nutritional behavior compared to generic recommendations.

Co-Investigators

Prof. Dr. Hannelore Daniel

Technische Universität München
Lehrstuhl für Ernährungsphysiologie

Tel.:     +49 (0)8161 71 3400
Email:  daniel[at]wzw.tum.de

PD Dr. Kurt Gedrich

Technische Universität München
Lehrstuhl für Ernährungsphysiologie

Tel.:     +49 (0)8161 71 2483
Email:   kgedrich[at]tum.de

Coordinating Investigator

Prof. Dr. Helmut Krcmar

Technische Universität München
Lehrstuhl für Wirtschaftsinformatik


E-Mail: krcmar[at]in.tum.de
www.winfobase.de

Prof. Dr. Johann Schlichter

Technische Universität München
Lehrstuhl für angewandte Informatik
Kooperative Systeme

E-Mail: schlichter[at]in.tum.de
www11.in.tum.de

PD Dr. Georg Groh

Technische Universität München
Lehrstuhl für angewandte Informatik
Kooperative Systeme

E-Mail: grohg[at]in.tum.de
www11.in.tum.de