Hypothyroidism
Hypothyroidism occurs when the thyroid gland doesn't produce enough thyroid hormone, slowing metabolism and causing fatigue, weight gain, and cold sensitivity.
📊 Key Metrics to Monitor
These health metrics are essential for diagnosing and monitoring hypothyroidism:
🔬 Diagnostic Criteria
Healthcare providers use these thresholds to diagnose and classify hypothyroidism:
| Metric | Threshold | Classification |
|---|---|---|
| TSH | >4.5 mIU/L | Elevated (Primary) |
| Free T4 | <0.8 ng/dL | Low |
| TSH | >10 mIU/L | Overt Hypothyroidism |
Note: Diagnosis requires clinical evaluation. These criteria are for reference only.
⚠️ Risk Factors
🔴 Potential Complications
If left unmanaged, hypothyroidism may lead to:
✅ Prevention Strategies
📊 Understanding Related Metrics
These health metrics play key roles in diagnosing, monitoring, and managing hypothyroidism. Understanding what each measures helps you better interpret your results.
❓ Frequently Asked Questions
What is Hypothyroidism?
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How common is Hypothyroidism?
~5% of U.S. adults
What metrics should I monitor for Hypothyroidism?
Key metrics include: TSH, Free T4, Free T3, TPO Antibodies. Regular monitoring of these values can help track disease status and treatment response.
How is Hypothyroidism diagnosed?
Diagnosis requires clinical evaluation and may include blood tests, physical examination, and other assessments.
Can Hypothyroidism 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
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