Dietary Consultation for Obesity
(ATM Trial)
Trial Summary
The trial does not specify if you need to stop taking your current medications, but it mentions that you should not be using medications known to affect glucose and lipid metabolism, except for certain diabetes medications in the MAO-Type 2 Diabetes group.
Research suggests that personalized and frequent dietary counseling can be effective in treating obesity, as it involves ongoing support and tailored advice to help individuals make lifestyle changes. However, there is a lack of consistent guidelines and monitoring practices, which can affect the overall success of these interventions.
12345The research does not provide specific safety data for dietary consultation for obesity, but dietary and lifestyle changes are generally considered safe for most people when guided by professionals.
23567The dietary consultation weight loss intervention is unique because it involves personalized dietary advice based on individual eating habits, preferences, and lifestyle, rather than a one-size-fits-all approach. It emphasizes long-term healthy eating habits and regular follow-ups with a dietitian to ensure sustainable weight loss and prevent weight regain.
25789Eligibility Criteria
This trial is for people with obesity-related conditions like fatty liver disease, type 2 diabetes, or those who are generally healthy. Participants should be willing to undergo body scans and biopsies. Those looking to lose weight may receive dietary consultations.Inclusion Criteria
Exclusion Criteria
Trial Timeline
Screening
Participants are screened for eligibility to participate in the trial
Imaging and Biopsy
Participants undergo body composition testing (DEXA scans, MRI, and MRS scans) and an overnight visit with IV infusion, muscle, and fat tissue biopsies
Weight Loss Intervention
Participants with obesity undergo a dietary weight loss intervention to achieve 10% weight loss
Follow-up
Participants are monitored for safety and effectiveness after the intervention, including macrophage gene expression analysis