Development of an Exploratory Metabolic Typing Instrument Integrating Self-Report and Basic Biomarker Proxies
Draft for pilot-study preparation and manuscript scaffolding. This document does not imply validated clinical utility.
Consumer-facing health quizzes often rely on poorly supported body-type narratives. HBTI is proposed as an alternative exploratory framework that organizes users by metabolic and behavior-related tendencies rather than visible body-shape archetypes. The framework is intended for hypothesis generation and health-management personalization research, not diagnosis.
To evaluate whether a four-dimension HBTI prototype can produce internally coherent participant profiles and show plausible associations with selected anthropometric, lifestyle, and basic metabolic indicators.
- Participants with stronger
Stendencies will show less favorable carbohydrate-related proxy patterns, such as higher fasting glucose, higher triglycerides, or larger waist circumference. - Participants with stronger
Ctendencies will report higher emotional or reward-driven eating behavior. - Participants with stronger
Wtendencies will report shorter sleep duration, higher stress load, and less stable appetite regulation. - Participants with stronger
Dtendencies will report lower spontaneous activity and stronger fatigue or activity suppression during caloric restriction.
- The four HBTI dimensions will show acceptable internal consistency for an early exploratory instrument.
- Objective indicators will improve discriminative validity beyond questionnaire-only scoring.
- Continuous dimension scores may perform better analytically than the final 16-type code.
- Design: cross-sectional pilot study
- Phase: exploratory instrument-development study
- Setting: community sample or digital convenience sample
- Data source: self-report questionnaire plus participant-provided recent health metrics
Adults interested in weight management, energy regulation, or metabolic health self-tracking.
- Age 18 years or older
- Able to read and complete the questionnaire in the study language
- Willing to provide self-reported lifestyle information
- Willing to provide recent measured or lab-based health indicators if available
- Pregnancy
- Acute medical illness during data collection
- Severe active eating-disorder symptoms if the study setting lacks adequate safeguards
- Inability to provide informed consent
F: Fuel FlexibleS: Sugar Sensitive- Intended construct: tolerance for meal spacing, carbohydrate load, and energy stability
H: Hunger StableC: Craving Reactive- Intended construct: relative dominance of physiological hunger regulation versus reward- and emotion-linked intake
R: Recovery EfficientW: Stress Wired- Intended construct: stability of appetite, energy, and training response under sleep and stress variation
N: Naturally ActiveD: Energy Defending- Intended construct: spontaneous activity and adaptive downregulation under energy deficit
- meal spacing tolerance
- postprandial sleepiness or energy crash
- reward-driven eating frequency
- emotional eating tendency
- satiety stability after high-protein meals
- perceived recovery from training
- stress-related appetite dysregulation
- spontaneous daily movement tendency
- activity suppression during dieting
- height
- weight
- body mass index
- waist circumference
- resting heart rate
- average sleep duration
- average step count if available
- fasting glucose
- HbA1c if available
- triglycerides
- HDL-C
| Dimension | Example signal | Source |
|---|---|---|
| F/S | post-meal crash after high-carb intake | self-report |
| F/S | fasting glucose, triglycerides, waist circumference | objective |
| H/C | craving without physiological hunger | self-report |
| R/W | sleep-loss-related appetite instability | self-report |
| R/W | resting heart rate, sleep duration | mixed |
| N/D | reduced movement during calorie restriction | self-report |
- Likert items scored from 1 to 5
- Items normalized to dimension-level left/right poles
- Higher agreement strengthens the intended pole
- Optional indicators contribute small directional weight adjustments
- Objective indicators must not dominate the questionnaire in the pilot version
- Missing objective values are permitted and should not block scoring
- Primary analytic output: continuous dimension scores
- Secondary consumer-facing output: four-letter HBTI code
- Item-total correlations
- Cronbach's alpha or McDonald's omega by dimension
- exploratory factor analysis if sample size permits
- correlation of dimension scores with relevant biomarkers and anthropometrics
- known-group comparisons where relevant
- regression models controlling for age and sex if available
- compare questionnaire-only and questionnaire-plus-biomarker scoring
- assess whether type labels lose information relative to continuous scores
For a true psychometric study, a larger sample will be needed. For an early pilot, aim for a practical initial sample sufficient to:
- inspect item distributions
- estimate preliminary internal consistency
- explore directional associations
A minimal exploratory target may be 100 to 200 participants, but stronger factor-analytic work will likely require larger samples.
- self-report bias
- convenience-sample bias
- inconsistent recency or quality of participant lab values
- cross-sectional design cannot establish causality
- heuristic scoring may encode designer assumptions before empirical calibration
- state clearly that HBTI is not a diagnostic tool
- avoid collecting unnecessary health data
- obtain explicit consent for health-related self-report fields
- provide a support pathway if participants report disordered-eating risk signals
- Introduction
- Rationale for moving beyond somatotype framing
- Construct development of HBTI
- Methods
- Pilot results
- Discussion
- Limitations
- Future validation work
- refine item wording with expert review
- pilot comprehension with a small qualitative sample
- collect first-wave cross-sectional data
- recalibrate item and biomarker weights using observed distributions
- decide whether to preserve or retire the type-code layer