Prediabetes
Prediabetes is a condition where blood sugar levels are higher than normal but not high enough for a type 2 diabetes diagnosis. It's a critical window for intervention.
📊 Key Metrics to Monitor
These health metrics are essential for diagnosing and monitoring prediabetes:
🔬 Diagnostic Criteria
Healthcare providers use these thresholds to diagnose and classify prediabetes:
| Metric | Threshold | Classification |
|---|---|---|
| Fasting Glucose | 100-125 mg/dL | Impaired Fasting Glucose |
| HbA1c | 5.7-6.4% | Prediabetes |
| OGTT 2-hour | 140-199 mg/dL | Impaired Glucose Tolerance |
Note: Diagnosis requires clinical evaluation. These criteria are for reference only.
⚠️ Risk Factors
🔴 Potential Complications
If left unmanaged, prediabetes may lead to:
✅ Prevention Strategies
📊 Understanding Related Metrics
These health metrics play key roles in diagnosing, monitoring, and managing prediabetes. Understanding what each measures helps you better interpret your results.
❓ Frequently Asked Questions
What is Prediabetes?
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How common is Prediabetes?
38% of U.S. adults (96 million people)
What metrics should I monitor for Prediabetes?
Key metrics include: Fasting Glucose, HbA1c, Oral Glucose Tolerance, Fasting Insulin. Regular monitoring of these values can help track disease status and treatment response.
How is Prediabetes diagnosed?
Diagnosis requires clinical evaluation and may include blood tests, physical examination, and other assessments.
Can Prediabetes be prevented?
Prevention strategies typically focus on lifestyle modifications and managing risk factors. Early detection through screening is also important.
🔗 Related Conditions
Explore Your Metrics
Check your own values against population benchmarks using our interactive calculators.
Data Transparency & Sources
Content Information
About this page: This page combines data from authoritative sources with AI-assisted analysis to provide comprehensive metric benchmarks. The content has been written and reviewed by our team to ensure accuracy, relevance, and quality.
How we create this content
Our content creation process combines multiple approaches to ensure quality and accuracy:
- Data Collection: We gather metrics from authoritative sources including WHO, CDC, NIH, and peer-reviewed research
- Analysis: AI tools assist in analyzing patterns, calculating percentiles, and identifying correlations
- Writing: Our team writes original content providing context and insights beyond raw data
- Review: All content is reviewed by our editorial team for accuracy, clarity, and completeness
- Verification: Claims are verified against original sources and cross-referenced with multiple studies
Our commitment: We prioritize accuracy and transparency. If you find any errors or have concerns about content accuracy, please contact us.