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Response from developer
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Body Composition Inaccurate.
Response from developer
Thank you for sharing your feedback. We understand how seeing a significant change in body fat percentage could be concerning, and we’d like to provide some clarification around what you’re seeing. The calculations themselves are not inaccurate, but the Styku Mobile App exclusively displays measurements from our Advanced Model, which is our newest and most advanced body composition model. Our Basic Model uses BIA-style calculations, while our Advanced Model uses DEXA-style calculations, which are widely considered the gold standard in body composition analysis. Because of this, the Advanced Model is the model we recommend and the one displayed within the Styku Mobile App. The values shown on the scanner or in reports may be using the Basic Model instead, depending on the settings selected by the business. Since the two models calculate body composition differently, comparing a Basic Model result to an Advanced Model result can make it appear as though body fat changed dramatically overnight, even though the underlying scan data itself remains the same. On the scanner, users can toggle between the Basic and Advanced models to compare the differences between the two measurement methods. When the same model is applied consistently across scans, the values should remain much more consistent over time. We appreciate your feedback and the opportunity to provide additional context around the reporting models shown within the app and scanner experience.
Very informative
Dev please read
Response from developer
Thank you for taking the time to share your feedback. We take concerns about accuracy very seriously. To clarify, the health screen is not based on BMI alone. BMI is one common reference point in health screening, but our approach also incorporates body-shape and body-distribution measurements that are well supported in the scientific literature, including waist-related and regional body-composition metrics associated with cardiometabolic risk. A growing body of peer-reviewed research shows that central body-fat distribution and body-shape markers can predict health risk more accurately than weight or BMI alone. That includes studies showing improved identification of metabolic syndrome risk using 3D optical body-shape data, as well as research linking waist circumference and trunk-to-leg volume patterns with hypertension, diabetes, cardiovascular risk, and metabolic disease. That said, our health screen is intended as an educational screening tool to help users better understand possible risk patterns and start more informed conversations with qualified healthcare professionals. It is not a medical diagnosis, and it is not intended to replace clinical evaluation, lab testing, or physician judgment. We appreciate your feedback and will continue improving the experience, clarity, and education around how these results are generated and how they should be interpreted.
