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Understanding Healthpass Health Metrics and Key Biometrics

Understanding Healthpass Health Metrics and Key Biometrics

Overview

Styku's Healthpass health screen uses anthropometric measurements to assess a client's current health status and estimate risk for preventable chronic diseases. Understanding these metrics enables staff to deliver expert consultations and help clients interpret their results.

Health Score

The health score is a comprehensive indicator of overall well-being based on anthropometric and body composition metrics. Clients can compare their score to others of the same age and sex.

Scoring Scale:

Range | Category

90–100 | Optimal

80–89 | Good

70–79 | Average

60–69 | Average

25–49 | Poor

< 25 | Alarming

Improvements in the health score indicate the client is losing visceral fat, losing body fat, gaining lean mass, and reducing chronic disease risk.

Health Radar

The health radar is a graphical tool that complements the health score by showing how a client ranks across five body shape and composition categories:

  • Body Mass Index (BMI)
  • Body Fat Percentage
  • Trunk-Leg Volume Ratio
  • Waist-to-Height Ratio
  • Waist (Abdominal) Circumference

Reading the radar:

  • Points closer to the center = lower scores = areas for improvement
  • Points toward the outer edge = higher/better scores

Key Biometrics and Reference Ranges

Body Fat Percentage

Quantifies the proportion of fat in the body relative to total body weight. Excessive body fat is directly linked to metabolic and cardiovascular disease risk.

  • Males: Should be under 28%
  • Females: Should be under 40%

Lean Mass Percentage

Lower lean mass signals reduced metabolic efficiency and elevated risk for metabolic and musculoskeletal disorders.

  • Males: Ideal range is 72–80%
  • Females: Ideal range is 60–65%

Waist (Abdominal) Circumference

Measured at or just above the belly button. A critical marker for metabolic syndrome risk and an indirect indicator of visceral fat.

Sex | Low Risk | Moderate Risk | High Risk

Male | < 94 cm (37 in) | 94–102 cm (37–40 in) | > 102 cm (40 in)

Female | < 80 cm (31 in) | 80–88 cm (31–35 in) | > 88 cm (35 in)

Thresholds established by the WHO and NIH.

Body Mass Index (BMI)

An elevated BMI suggests increased likelihood of obesity-related health issues including diabetes and heart disease. BMI is not a measure of body fat percentage.

  • Optimal range: 18.5–24.9 kg/m²
  • Ideal body weight is calculated as the weight range aligning with this BMI range.

Visceral Fat Area (VFA)

High VFA indicates greater risk of cardiovascular disease and metabolic issues due to fat accumulation around vital organs.

  • Ideal: < 100 cm²

Waist-to-Hip Ratio (WHR)

An indicator of fat distribution. Higher ratios suggest increased risk of heart disease and type 2 diabetes.

  • Males: Should be below 0.95
  • Females: Should be below 0.80

Blood Biomarkers Estimated from Scan Data

Styku's algorithms can infer cardiometabolic risk markers from physical measurements:

  • Triglycerides: Elevated levels signal increased heart disease risk and possible insulin resistance
  • Blood Sugar (Fasting Glucose): High readings may indicate prediabetes or diabetes
  • HDL Cholesterol ("good" cholesterol): Low HDL reduces the protective mechanism against heart disease
  • Insulin Resistance (HOMA-IR): Higher scores indicate greater insulin resistance, a key factor in type 2 diabetes and metabolic syndrome

A peer-reviewed paper has shown Styku can accurately estimate risk of these metabolic blood markers, and a separate paper validated Styku's ability to predict metabolic syndrome with up to 92% accuracy.

Postural Metrics

Shoulder and hip shifts outside of normal ranges increase the risk for upper and lower body joint pain and injury. These are flagged in the Health Screen when measurements exceed reference thresholds.

Aging and Longevity Indicators

Anthropometric data correlates with biological aging rate. A higher aging velocity means the client's body shape metrics are consistent with someone aging faster than their chronological age — a signal that lifestyle intervention may extend healthy years.

Financial Health Risk

Being overweight or obese is associated with higher insurance premiums, co-pays, and long-term care costs. The health screen helps practitioners frame the financial implications of a client's current health trajectory as part of a comprehensive consultation.