Skip to main content
Back to Research Library
B
Good Confidence
Cohort Study2016

Crofts 2016: Hyperinsulinemia in the Kraft Database

Crofts et al.Diabetes Research and Clinical Practice

Key Finding

Over 50% with normal glucose have hyperinsulinemia - earliest metabolic disease marker

Original title: Identifying hyperinsulinaemia in the absence of impaired glucose tolerance: An examination of the Kraft database

Plain English Summary

Analysis of Dr. Kraft two-decade OGTT database: over 50% with normal glucose have hyperinsulinemia. Fasting insulin alone insufficient for detection.

In-Depth Analysis

Background

Dr. Catherine Crofts and colleagues from AUT University, New Zealand, analyzed Dr. Joseph Kraft's remarkable database of over 14,000 oral glucose tolerance tests with insulin measurements. Published in Diabetes Research and Clinical Practice (PMID: 27344544).

Study Design

Database: 4,416 subjects from Dr. Kraft's clinical practice (1972-1998) Method: 5-hour OGTT with insulin measured at 0, 30, 60, 120, 180, 240, and 300 minutes Analysis: Applied Kraft patterns to identify hyperinsulinemia with and without glucose abnormalities

Key Findings

Glucose StatusHyperinsulinemia Present
Normal glucose tolerance53%
Impaired glucose tolerance75%
Diabetic glucose tolerance85%

Critical insight: Over half of people with completely normal glucose responses already have hyperinsulinemia—the earliest detectable metabolic abnormality.

Fasting insulin alone missed 75% of hyperinsulinemia cases. Only the full insulin response pattern revealed dysfunction.

Mechanistic Insights

Hyperinsulinemia precedes glucose abnormalities by years to decades. The pancreas compensates for insulin resistance by producing more insulin, maintaining normal glucose until compensation fails.

Clinical Implications

Fasting glucose and A1C are late markers of metabolic disease. Earlier detection requires:

  1. Fasting insulin (imperfect but accessible)
  2. TG/HDL ratio as proxy
  3. Full OGTT with insulin (gold standard but rarely done)

Metabolic Health Perspective

This study validates the metabolic optimization approach: identify and address hyperinsulinemia before glucose ever becomes abnormal. Prevention is far more effective than reversal of established diabetes.

Paradigm Relevance

How this study applies to different clinical perspectives:

Standard Medical

Conventional clinical guidelines used by most doctors

Not directly relevant to this paradigm

Research Consensus

Relevant

Current scientific understanding, often ahead of guidelines

Metabolic Optimization

Relevant

Proactive targets for optimal health, not just disease absence

Study Details

Type
Cohort Study

Topic

Related Biomarkers

INSULINGLUCOSE

Calculate & Evaluate on Metabolicum

Original Source

View on PubMedView DOIFull Text Not Available

DOI (Digital Object Identifier) is a permanent link to this publication. Unlike website URLs that can change, a DOI always resolves to the correct source.

Related Studies