GLP-1 results:
What to expect in 12 months
Results from GLP-1 treatments like Ozempic®, Wegovy®, and Mounjaro® can look different for everyone. Below you’ll see what to expect — and how MyBodySimulator helps you visualize your journey and stay motivated along the way.
How GLP-1 treatments work
GLP-1 medications — like Ozempic®, Wegovy®, Mounjaro®, and Zepbound® — mimic a natural hormone in your body that helps control appetite and blood sugar. Originally developed for type 2 diabetes, they’re now widely used for weight management.
Here’s what they do:
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Reduce hunger so you feel full sooner and stay satisfied longer.
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Slow digestion, helping control how quickly food leaves your stomach.
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Support steady weight loss and improve overall metabolic health when combined with healthy habits.
What drives your 12 month results?
Expected Ranges by Behaviour & Starting Point
Patient type | Behavior over 12 months | Expected weight loss | Typical traits |
|---|---|---|---|
Minimal | Relies on injection only - no diet/activity change | ~ 7%-10% kg | Occasional missed doses, minimal extra effort |
Moderate | Reduces eating, walks twice a week | ~10%-14% kg | Some habit changes, no consistent tracking |
Committed | Consistent injections + basic nutrtion plan | ~14%-18% kg | Stable diet, modest or no formal exercise |
Lifestyle changes | Full nutrition plan + regular exercise + emotional/behavioral support | ~18%-22% kg | Actively tracks, seldom drops off |
Elite transformation | Tailored nutrition + coach/trainer + strong adherance | ~22%-25%+ | Maintains results long term, minimal rebound |
These are illustrative ranges based on research + clinical experience. Individual results will always vary.
AI Weight Loss Simulator
Why pair GLP-1 with My Body Simulator
1
Expectation setting that’s visual
Simulate likely body changes across 3, 6, and 12 months based on your inputs (age, sex, start weight/BMI, pace, adherence style).
2
Target planning
Set monthly milestones that adapt to real progress
3
Progress tracking
Compare real photos and measurements to the simulated path — close feedback loops keep you engaged
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