Data Overview

completescan data scans bodyscan facescan user input height, weight, sex height, weight, sex layer 1 individual data points chest circumference waist circumference hips circumference thigh circumference fat free mass systolic blood pressure diastolic blood pressure heart rate heart rate variability irregular heart beats respiratory rate layer 2 derived data waist hip ratio waist height ratio bmi body fat percentage blood pressure cardiac workload user input (required for layer 3) age, ethnicity, question survey age, ethnicity, question survey layer 3 contextual data obesity risk central obesity risk type 2 diabetes risk cardiovascular disease risk stroke risk heart attack risk high/low blood pressure high/low heart rate what are the layers? each scan returns its own set of data categorized into three layers based on the type of data layer 1 – individual data points these are the direct outputs from a scan, such as body circumference, diastolic and systolic blood pressure, and heart rate layer 2 – derived data derived data is a formula or equation applied to one or more data points these are labeled "health indicators" and include waist hip ratio, waist height ratio, and a combined systolic/diastolic blood pressure result layer 3 – contextual data contextual data combines individual data points and derived data with a publically available dataset or study used to predict health risk categorization examples include type 2 diabetes, obesity, hypertension, and cardiovascular disease despite also being an individual measurement, waist circumference is also a risk indicator when displayed as a single number, it is layer one if interpreted against a study, it is layer three