Antipsychotic-induced weight gain in first-episode psychosis patients: a meta-analysis of differential effects of antipsychotic medications.
Cenk Tek, Suat Kucukgoncu, Sinan Guloksuz...
https://pubmed.ncbi.nlm.nih.gov/25962699Actively Recruiting
Led by Capital Medical University · Updated on 2025-06-05
204
Participants Needed
1
Research Sites
N/A
Total Duration
C
Capital Medical University
Lead Sponsor
M
Merck Sharp & Dohme LLC
Collaborating Sponsor
Researchers are evaluating the use of a digital health app called Huawei Health combined with a smart body fat scale to help overweight patients diagnosed with schizophrenia or bipolar disorder manage their weight. The study focuses on whether longer use of these tools leads to better weight loss and whether regular tracking motivates sustained engagement. The trial aims to improve long-term weight management through this digital and professional support approach. Participants will use the Huawei Health app and Huawei Scale 2pro smart body fat scale for self-monitoring. The intervention is rolled out in two batches: one group starts using the tools from Month 3 to Month 6, and the second group from Month 5 to Month 6. Patients weigh themselves weekly, log their diet at least three times per week, and follow biweekly exercise plans. They also receive weekly motivational messages and support from doctors and nutritionists via WeChat. During the 6-month study, participants undergo baseline observation, training, and intervention phases. Data collected include weight, BMI, body composition, heart rate, and dietary intake. Monthly assessments use validated scales to measure subjective outcomes. Adherence to self-monitoring and protocol compliance are tracked through the app and scale metrics. Researchers also conduct interviews to explore user experiences and assess the feasibility and effectiveness of this combined digital and multidisciplinary intervention.
CONDITIONS
App and Body Fat Scale in the Management of Overweight Patients
You may qualify if you...
You will not qualify if you...
Complete this quick 3-step screening to check your eligibility
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - 2 months
Participants undergo baseline observation using usual care with no intervention to collect initial data on body composition and health status.
Monthly visits for assessments
Duration - 2 weeks
Participants receive training on using the mobile app and smart body fat scale, including device distribution and installation.
1 to 2 visits for training and device setup
Duration - Up to 4 months depending on cluster assignment
Participants use the digital behavioral intervention involving weekly weigh-ins with the smart scale, dietary logging at least three times per week, biweekly exercise plans, and weekly motivational messages.
Monthly visits for clinical, functional, and subjective outcome assessments; weekly remote monitoring through the app
Duration - 2 months
All participants receive the digital intervention concurrently across all units, with continued self-monitoring and behavioral reinforcement.
Monthly visits for assessments and ongoing app-based monitoring
Total: 1 location
1
Beijing Anding Hospital
Beijing, Beijing Municipality, China
Actively Recruiting
L
Le Xiao
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
SEQUENTIAL
Primary Purpose
TREATMENT
Number of Arms
2
Have more questions? Get in touch with our team for quick support
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here
Cenk Tek, Suat Kucukgoncu, Sinan Guloksuz...
https://pubmed.ncbi.nlm.nih.gov/25962699Madhubhashinee Dayabandara, Raveen Hanwella, Suhashini Ratnatunga...
https://pubmed.ncbi.nlm.nih.gov/28883731Andrea N Brockmann, Abraham Eastman, Kathryn M Ross
https://pubmed.ncbi.nlm.nih.gov/32437055Michele L Patel, Lindsay N Wakayama, Gary G Bennett
https://pubmed.ncbi.nlm.nih.gov/33624440Scott W Cheatham, Kyle R Stull, Mike Fantigrassi...
https://pubmed.ncbi.nlm.nih.gov/28488834Lorna Suen, Wenru Wang, Kenneth King Yip Cheng...
https://pubmed.ncbi.nlm.nih.gov/31144666Gemma Flores Mateo, Esther Granado-Font, Carme Ferré-Grau...
https://pubmed.ncbi.nlm.nih.gov/26554314Stephanie P Goldstein, Carly M Goldstein, Dale S Bond...
https://pubmed.ncbi.nlm.nih.gov/31556659Michele L Patel, Christina M Hopkins, Taylor L Brooks...
https://pubmed.ncbi.nlm.nih.gov/30816851