Enhanced health intelligence for personal behavioral strategies in everyday life- 1st application scenario

• Conditions: EBERGEWICHT; Obesity due to excess calories; E66.0

• Registration Number: DRKS00027551
• Lead Sponsor: Bodymed AG

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2022-05-10
• Study Completion: 2022-12-12
• Last Update Posted: 19 August 2024

Recruitment & Eligibility

• Status: Complete
• Sex: All
• Target Recruitment: 2

Inclusion Criteria

BMI = 25.0 kg/m², i.e. overweight or obesity

- Regular participation in the Bodymed nutrition program

- Presence of own Android smartphone at least version Android 7.

Exclusion Criteria

- Eating disorders
- Cancer diseases
- Diabetic nephropathy or renal insufficiency only after consultation with the specialist physician in charge
- Protein utilization disorders (e.g. phenylketonuria)
- Cachexia
- Decompensated liver cirrhosis
- Pregnancy (from the 3rd trimester)
- Breastfeeding
- Taking the following medications: Amiodarone, tamoxifen, corticosteroid, methotrexate, tetracyclines, valproic acid, Chemotherapy (CASH; 5-FU, taxanes, platinum-containing chemotherapeutic agents)

Study & Design

• Study Type: observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
In the 1st application scenario of the study, requierments for successful implementation are first defined. For this:<br>- Acquisition of various behavioral parameters as well as biomarkers via Smartwatch and Smartphone to create a digital twin. <br>--> Derivation of behavioral patterns<br>--> Generation of recommendations for behavioral change<br><br>- Conducting a semi-structured interview:<br>--> Query affinity and willingness to use technological support options in the context of weight management or behavior modeling in general, and in this context query potential forms of technological support. <br>- In addition, motivation, affinity, comprehensibility, user-friendliness, presentation and meaningfulness of exemplary recommendations for action or personally-adapted behavioral strategies were queried.<br>

Secondary Outcome Measures

Name	Time	Method
ong-term and sustainable improvement of health and nutritional behavior through the support in everyday life by the use of digital applications.<br>Successful weight reduction with decrease in fat mass and increase in metabolically active mass (musculature).