Scientific References

1. Energy Expenditure Calculation (BMR / TDEE)

The system employs three equations in order of biometric precision: Katch-McArdle (with body fat data), the US Navy/Siri method (with body circumferences), and Mifflin-St Jeor (with basic demographic data). Physical activity level (PAL) and user goal modulate the final TDEE.

• •Cunningham, J.J. (1991). Body composition as a determinant of energy expenditure. American Journal of Clinical Nutrition, 54(6), 963–969. https://doi.org/10.1093/ajcn/54.6.963
• •Frankenfield, D., Roth-Yousey, L., & Compher, C. (2005). Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults. Journal of the American Dietetic Association, 105(5), 775–789.
• •Hodgdon, J.A., & Beckett, M.B. (1984). Prediction of percent body fat for U.S. Navy men and women from body circumferences and height. Naval Health Research Center, Report No. 84-11.
• •Wright, H.F., Taylor, A.M., & Rayson, M.P. (2008). Validity of the US Navy body fat prediction equation in physically active adult males. European Journal of Applied Physiology, 103(4), 415–420.
• •National Research Council. (2002). Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. National Academies Press. https://doi.org/10.17226/10490

2. Adaptive Thermogenesis Engine

The metabolic feedback controller dynamically adjusts TDEE by comparing expected (thermodynamic) vs. actual weight loss, quantifying and compensating for metabolic adaptation.

• •Astrup, A., et al. (1999). Meta-analysis of resting metabolic rate in formerly obese subjects. American Journal of Clinical Nutrition, 69(6), 1117–1122.
• •Hall, K.D. (2010). Predicting metabolic adaptation, body weight change, and energy intake in humans. American Journal of Physiology-Endocrinology and Metabolism, 298(3), E449–E466.
• •Martins, C., et al. (2020). Metabolic adaptation is not a major barrier to weight-loss maintenance. American Journal of Clinical Nutrition, 112(3), 558–565.
• •Müller, M.J., et al. (2015). Metabolic adaptation to caloric restriction and subsequent refeeding: the Minnesota Starvation Experiment revisited. American Journal of Clinical Nutrition, 102(4), 807–819.
• •Rosenbaum, M., & Leibel, R.L. (2010). Adaptive thermogenesis in humans. International Journal of Obesity, 34(S1), S47–S55.

3. Macronutrient Distribution

Macronutrient partitioning prioritizes structural protein and hormonal fat floors before allocating carbohydrates, with adjustments per population group, goal, and activity level.

• •Institute of Medicine (IOM). (2005). Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. National Academies Press.
• •European Food Safety Authority (EFSA). (2017). Dietary Reference Values for nutrients — Summary report. EFSA Supporting Publication, 14(12), e15121E.
• •FAO/WHO/UNU. (2007). Protein and amino acid requirements in human nutrition. WHO Technical Report Series, 935.
• •World Health Organization (WHO). (2015). Guideline: Sugars Intake for Adults and Children. Geneva: WHO.

4. Sports Nutrition

• •Jäger, R., et al. (2017). International Society of Sports Nutrition Position Stand: protein and exercise. Journal of the International Society of Sports Nutrition, 14(1), 20.
• •Kerksick, C.M., et al. (2017). International Society of Sports Nutrition Position Stand: nutrient timing. Journal of the International Society of Sports Nutrition, 14(1), 33.
• •Thomas, D.T., Erdman, K.A., & Burke, L.M. (2016). American College of Sports Medicine Joint Position Statement: Nutrition and Athletic Performance. Medicine & Science in Sports & Exercise, 48(3), 543–568.
• •Helms, E.R., et al. (2014). A systematic review of dietary protein during caloric restriction in resistance trained lean athletes. International Journal of Sport Nutrition and Exercise Metabolism, 24(2), 127–138.
• •Morton, R.W., et al. (2018). A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength. British Journal of Sports Medicine, 52(6), 376–384.

5. Special Populations (Pregnancy, Lactation, Older Adults)

• •Bauer, J., et al. (2013). Evidence-based recommendations for optimal dietary protein intake in older people: a position paper from the PROT-AGE Study Group. Journal of the American Medical Directors Association, 14(8), 542–559.
• •Deutz, N.E., et al. (2014). Protein intake and exercise for optimal muscle function with aging: recommendations from the ESPEN Expert Group. Clinical Nutrition, 33(6), 929–936.
• •European Food Safety Authority (EFSA). (2013). Scientific Opinion on nutrient requirements and dietary intakes of infants and young children in the European Union. EFSA Journal, 11(10), 3408.
• •American College of Obstetricians and Gynecologists (ACOG). (2020). Nutrition During Pregnancy. ACOG Practice Advisory.
• •Institute of Obstetricians and Gynaecologists. (2019). Nutrition During Pregnancy. National Clinical Guideline No. 27. Royal College of Physicians of Ireland.

6. Micronutrients & Vitamins

Requirements for vitamins, minerals, and essential amino acids are calculated using IOM, EFSA, and WHO reference values, with modulators for physiological state.

• •European Food Safety Authority (EFSA). (2015). Scientific Opinion on Dietary Reference Values for calcium. EFSA Journal, 13(5), 4101.
• •Holick, M.F., et al. (2011). Evaluation, treatment, and prevention of vitamin D deficiency: an Endocrine Society clinical practice guideline. Journal of Clinical Endocrinology & Metabolism, 96(7), 1911–1930.
• •Institute of Medicine (IOM). (2001). Dietary Reference Intakes for Vitamin A, Vitamin K, Arsenic, Boron, Chromium, Copper, Iodine, Iron, Manganese, Molybdenum, Nickel, Silicon, Vanadium, and Zinc. National Academies Press.
• •Institute of Medicine (IOM). (2005). Dietary Reference Intakes for Water, Potassium, Sodium, Chloride, and Sulfate. National Academies Press.
• •World Health Organization. (2007). Protein and amino acid requirements in human nutrition. WHO Technical Report Series, 935.
• •Craig, W.J., et al. (2021). The safe and effective use of plant-based diets with guidelines for health professionals. Nutrients, 13(11), 4144.
• •Volek, J.S., & Phinney, S.D. (2012). The Art and Science of Low Carbohydrate Performance. Beyond Obesity LLC.

7. Food Database

Database sources:

• •USDA SR Legacy Food Data — Public domain (U.S. government)
• •Open Food Facts — Open Database License (ODbL)
• •CIQUAL (ANSES, France) — Licence Ouverte

8. Artificial Intelligence

Misura uses Anthropic Claude for the chat, food photo analysis, interpretation of descriptions and dictations, food estimation, dish composition, micronutrient enrichment, allergen classification, and the daily commentary with its recommendations. OpenAI provides the embeddings for semantic search and for the diet-variety indicator. No AI model runs inside the phone: everything runs on servers. All AI-generated content is for guidance only and is explicitly identified in compliance with the EU AI Act (Regulation 2024/1689), as amended by Regulation (EU) 2026/1744.