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Understand the client’s overall physique category versus recommended body shape.
Matrix plotting strength/fitness vs. body size. Dot = current; outline = recommended direction.
1–10 index estimating internal abdominal fat. Track the trend with lifestyle changes.
Use alongside composition (muscle vs fat); never alone for decisions.
Left/Right and Upper/Lower comparisons highlight imbalances.
Relative fat distribution by limb and trunk (LA/RA/LL/RL/TR).
Lean mass by segment. Look for symmetry and functional balance.
Asymmetry can relate to posture, dominance, or injury history.
Breakdown of mass components to guide programming.
Correlates with lean mass/hydration; extremes need clinical context.
Proxy for soft-tissue quality alongside mineral.
Long-term structural/bone mass indicator.
Absolute fat; pair with Percent Body Fat for clarity.
Key indices with standard ranges and comparison arrows.
Height-normalized weight; not composition-aware (screening only).
Contractile tissue that drives BMR, posture, performance.
Fat as % of body weight; target ranges vary by age/sex.
Estimated resting calories; higher SMM generally raises BMR.
Height-normalized lean mass for cross-stature comparison.
Composite indicator aligning composition with normative datasets.
Motivational framing; reassess every 4–8 weeks.
Not a clinical age; depends on device model/algorithm.
Optional targets from the system to reach optimal zones.
Suggested Soft Lean Mass and Body Fat Mass changes.
Treat as directional; personalize to history and goals.
Progress lines for Weight, PBF, and WHR across past tests.
Single tests are snapshots; trends tell adherence/adaptation.
Keep test timing, hydration, and prep consistent to reduce variance.
High-level qualitative health risk summary.
Aggregate of markers; pair with vitals, labs, and clinician guidance.