dietary behaviour Anthropometric and biological parameters of health
Conditions
Interventions
Group 1: Interventiongroup: Usage of a personalised and automatised smartphone application (personalised recipe recommendations, self-monitoring of progress, personalised feedback about critical nutri
Sponsors
Lehrstuhl für Ernährungsphysiologie der Technischen Universität München
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Owner of an Android Smartphone Owner of a body scale Body Mass Index between 25 and 40 kg/m2 Absence of food allergies or intollerances Generally healthy
Exclusion criteria
Exclusion criteria: Untreated chronic diseases Chronic diseases related to nutrition
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Healthy Eating Index (evaluated by Food Frequency Questionnaire after 0, 3 and 6 months) Nutrient intake (evaluated by Food Frequency Questionnaire after 0, 3 and 6 months) Body weight, height, waist and hip circumference (self-measurements after 0, 3 and 6 months) Physical activity (evaluated by Baecke questionnaire after 0, 3 and 6 months) Blood biomarkers (evaluated using Dried Blood Spots after 0, 3 and 6 months) | — |
Secondary
| Measure | Time frame |
|---|---|
| Evaulation of the mobile application (e.g. drop-out rates, frequency and intensity of app usage, satisfaction of the different features of the app) using a feedback questionnaire after 6 months and using data logging of the app during the entire study period | — |
Countries
Germany
Contacts
Public ContactMira Madenach
Lehrstuhl für Ernährungsphysiologie der Technischen Universität München
Outcome results
None listed