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GLP-1 muscle & weight-loss calculator

Your calories, your protein target, and a projection of how much muscle you keep, with versus without enough protein and training. Built on published equations, not guesses.

How this is calculated (and the research behind it)

Resting metabolism (BMR). The calculator uses the Mifflin-St Jeor equation, the predictive equation validated as most accurate for healthy adults.1 For women it is 10 × weight(kg) + 6.25 × height(cm) − 5 × age − 161; for men the last term is + 5.

Total burn (TDEE). BMR is multiplied by a physical-activity factor (1.2 sedentary to 1.9 very active), the standard way to scale resting metabolism to real-world expenditure.2 Your calorie target is TDEE minus the deficit implied by your chosen pace.

Weight-loss trajectory. The pace-to-deficit conversion uses the classic estimate that about 7,700 kcal equals one kilogram of body weight (3,500 kcal per pound).3 This is a first approximation. Real loss slows over time as metabolism adapts, so a dynamic model predicts less than a straight line at the far end.4 Treat the timeline as a planning estimate, not a promise.

Protein target. The 1.6 to 2.2 g/kg range comes from lean-mass research, where benefit to fat-free mass leveled off near 1.6 g/kg.5 It is split across four meals because distribution matters more than any single dose.6

The two muscle lines. Reviews of the trial data put lean mass at roughly 15 to 40 percent of the weight lost on a GLP-1.7 The red line models the higher end that occurs without countermeasures. The green line models the outcome with adequate protein and resistance training, using the finding that resistance training offset about 93.5 percent of the lean mass that caloric restriction alone would cost.8 These are illustrative projections from published ranges, not a measurement of your body.

Honest limits

Every number here is an estimate. Predictive BMR equations carry error at the individual level, the 7,700 kcal rule overstates loss over months, and the muscle split is modeled from population ranges rather than a scan of you. A target scaled to total body weight is a starting point, not a prescription, and it can overestimate protein for people carrying more fat mass. Use this as a framework, and confirm the specifics with your clinician, especially the calorie floor while on a GLP-1.

Go deeper

The Protein Playbook

This tool gives you the numbers. The $1 mini-guide gives you the system to hit them: a four-meal method built for a gone appetite, a USDA-sourced food table, and three sample days you can copy.

Get The Protein Playbook — $1 →

Want the training routines and maintenance phase too? The complete $5 handbook covers the rest.

References

  1. Mifflin MD, St Jeor ST, Hill LA, et al. A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition. 1990;51(2):241–247. pubmed.ncbi.nlm.nih.gov/2305711
  2. Food and Agriculture Organization / WHO / UNU. Human energy requirements: physical activity level (PAL) values. Report of a Joint Expert Consultation. 2004.
  3. Wishnofsky M. Caloric equivalents of gained or lost weight. American Journal of Clinical Nutrition. 1958;6(5):542–546.
  4. Hall KD, Sacks G, Chandramohan D, et al. Quantification of the effect of energy imbalance on bodyweight. The Lancet. 2011;378(9793):826–837. doi.org/10.1016/S0140-6736(11)60812-X
  5. Morton RW, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance-training-induced gains. British Journal of Sports Medicine. 2018. pmc.ncbi.nlm.nih.gov/articles/PMC5867436
  6. Schoenfeld BJ, Aragon AA. How much protein can the body use in a single meal for muscle-building? Journal of the International Society of Sports Nutrition. 2018. pmc.ncbi.nlm.nih.gov/articles/PMC5828430
  7. Neeland IJ, et al. Changes in lean body mass with established and emerging GLP-1-based therapies and mitigation strategies. Diabetes, Obesity & Metabolism. 2024. doi.org/10.1111/dom.15728
  8. Sardeli AV, et al. Resistance training prevents muscle loss induced by caloric restriction in obese elderly: a systematic review and meta-analysis. Nutrients. 2018;10(4):423. mdpi.com/2072-6643/10/4/423