biostudies-literatureUnknown49Haderer M<h4>Objective</h4>HAPpEN aims to implement and evaluate a holistic general practitioner-centered, interdisciplinary obesity management strategy in rural Germany, focusing on feasibility, health outcomes, and economic benefits.<h4>Methods</h4>HAPpEN is a 12-month, pragmatic single-arm, multicenter trial, informed by a formative survey, and initiated in April 2023 with 98 obese participants (body mass index, BMI ≥ 30 kg/m²) in Kulmbach, Germany. The program integrates nutritional counseling, physical activity, and behavior change techniques, including smartphone-based self-monitoring. Monthly consultations help set personalized goals using a multi-stage grading scale. Primary outcomes include BMI, body weight, waist circumference, heart rate, blood pressure and parameters, while sPreventive medicine reports102959https://www.ebi.ac.uk/biostudies/studies/S-EPMC11755079biostudies-literatureGeneral practitioner-centered rural obesity management: Design, protocol and baseline data of the German HAPpEN pragmatic trial.PMC11755079Bader Avon Schau NAl Masri MKonig LBetz CHaderer MHofmann RBartelmeß TfalseGeneral practitioner-centered rural obesity management: Design, protocol and baseline data of the German HAPpEN pragmatic trial.<h4>Objective</h4>HAPpEN aims to implement and evaluate a holistic general practitioner-centered, interdisciplinary obesity management strategy in rural Germany, focusing on feasibility, health outcomes, and economic benefits.<h4>Methods</h4>HAPpEN is a 12-month, pragmatic single-arm, multicenter trial, informed by a formative survey, and initiated in April 2023 with 98 obese participants (body mass index, BMI ≥ 30 kg/m²) in Kulmbach, Germany. The program integrates nutritional counseling, physical activity, and behavior change techniques, including smartphone-based self-monitoring. Monthly consultations help set personalized goals using a multi-stage grading scale. Primary outcomes include BMI, body weight, waist circumference, heart rate, blood pressure and parameters, while s2025-01-01T00:00:00Z2025 Jan2025-04-19T18:24:06.466Z2025-04-19T18:24:06.466ZS-EPMC117550793985064110.1016/j.pmedr.2024.102959