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. 2022 Aug 1;14(15):3172.
doi: 10.3390/nu14153172.

Introducing zanadio-A Digitalized, Multimodal Program to Treat Obesity

Katarina Forkmann  1 , Lena Roth  2 , Nora Mehl  1
Affiliations

Introducing zanadio-A Digitalized, Multimodal Program to Treat Obesity

Katarina Forkmann et al. Nutrients. .

Abstract

While the prevalence of overweight and obesity has been increasing annually, the accessibility of on-site treatment programs is not rising correspondingly. Digital, evidence-based obesity treatment programs could potentially alleviate this situation. The application zanadio has been developed to enable patients with obesity (BMI 30-45 kg/m2) to participate in a digital, multimodal weight reduction program based on current treatment guidelines. This article is divided into two parts: (I) it introduces zanadio, its aims and therapeutic concept, and (II) provides a first impression and demographic data on more than 11,000 patients from across the country who have used zanadio within the last 16 months, which demonstrates the demand for a digital obesity treatment. zanadio has the potential to partially close the current gap in obesity care. Future work should focus on identifying predictors of successful weight loss to further individualize digital obesity treatment, and an important next step would be to prevent obesity, i.e., to start the treatment at lower BMI levels, and to invent digital treatment programs for children and adolescents.

Keywords: digital disease management; digital health application; digital weight reduction program; digitalization; mHealth; multimodal obesity treatment; zanadio.

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Conflict of interest statement

K.F and N.M. are employees and founder of aidhere GmbH, resp. They supervised the analysis of real-world data and wrote the manuscript. L.R. receives funds from aidhere GmbH.

Figures

Figure 1
Figure 1
Age (A), initial weight (B), and initial BMI (C) of patients when registering for zanadio. Depicted are means (black dot) and distributions (boxplot, violin plot) separately for male and female patients.
Figure 2
Figure 2
Frequencies of the ten most frequently reported comorbidities. Given are both absolute (x-axis) and relative values. Data of n = 1784 (15.8%) patients were not available.
See this image and copyright information in PMC

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