ALT: 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
ALT values are very similar between undefined and undefined, with less than 2% difference.
Percentile Comparison
| Percentile | Difference | ||
|---|---|---|---|
| 5th | 5.32 U/L | 5.32 U/L | 0.0% |
| 25th | 19.88 U/L | 19.88 U/L | 0.0% |
| 50th | 30 U/L | 30 U/L | 0.0% |
| 75th | 40.13 U/L | 40.13 U/L | 0.0% |
| 95th | 54.68 U/L | 54.68 U/L | 0.0% |
| Mean | 30 U/L | 30 U/L | 0.0% |
Visual Comparison
📊 ALT Across Age Groups
❓ Frequently Asked Questions
How should I interpret my alt 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 alt 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
Explore This Metric
📊 View full ALT benchmarks with interactive percentile calculator→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.