TSH: By Age Group
How do metric values change across different age groups? Understand age-related variations.
- Group A has no percentile data
- Group B has no percentile data
💡 Key Insight
TSH values are very similar between undefined and undefined, with less than 2% difference.
Percentile Comparison
| Percentile | Difference | ||
|---|---|---|---|
| 5th | 0.36 mIU/L | 0.36 mIU/L | 0.0% |
| 25th | 1.33 mIU/L | 1.33 mIU/L | 0.0% |
| 50th | 2 mIU/L | 2 mIU/L | 0.0% |
| 75th | 2.68 mIU/L | 2.68 mIU/L | 0.0% |
| 95th | 3.65 mIU/L | 3.65 mIU/L | 0.0% |
| Mean | 2 mIU/L | 2 mIU/L | 0.0% |
Visual Comparison
📊 TSH Across Age Groups
❓ Frequently Asked Questions
How should I interpret my tsh compared to these benchmarks?
Find your appropriate demographic group and percentile range. Being in the 25th-75th percentile (middle 50%) is typical. Percentiles below 5th or above 95th may warrant discussion with a healthcare provider, though clinical context is essential—a single measurement rarely tells the whole story.
Source: Clinical GuidelinesHow reliable is this comparison data?
This data comes from the CDC's National Health and Nutrition Examination Survey (NHANES), a continuously conducted survey that uses rigorous sampling methodology to represent the U.S. civilian non-institutionalized population. Sample sizes typically exceed 5,000 per demographic group, with weighted analysis accounting for the complex survey design.
Source: CDC NHANESWhat This Comparison Means
Understanding differences in tsh between different groups and populations is important for:
- Accurate benchmarking – Compare yourself to the appropriate reference population
- Clinical interpretation – Healthcare providers use demographic-specific ranges
- Research understanding – Biological and lifestyle factors influence these differences
- Personalized health goals – Set realistic targets based on your demographic
この指標を探索
📊 インタラクティブなパーセンタイル計算機付きの完全なTSHベンチマークを表示→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.
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- 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
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