Vitamin D Deficiency
Vitamin D deficiency is a common condition affecting bone health, immune function, and overall well-being, particularly in those with limited sun exposure.
ð Metriche Chiave da Monitorare
Queste metriche di salute sono essenziali per diagnosticare e monitorare vitamin d deficiency:
ðŽ Diagnostic Criteria
Healthcare providers use these thresholds to diagnose and classify vitamin d deficiency:
| Metric | Threshold | Classification |
|---|---|---|
| Vitamin D | <20 ng/mL | Deficient |
| Vitamin D | 20-29 ng/mL | Insufficient |
| Vitamin D | 30-100 ng/mL | Sufficient |
Note: Diagnosis requires clinical evaluation. These criteria are for reference only.
â ïļ Risk Factors
ðī Potential Complications
If left unmanaged, vitamin d deficiency may lead to:
â Prevention Strategies
ð Understanding Related Metrics
These health metrics play key roles in diagnosing, monitoring, and managing vitamin d deficiency. Understanding what each measures helps you better interpret your results.
â Frequently Asked Questions
What is Vitamin D Deficiency?
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How common is Vitamin D Deficiency?
~42% of U.S. adults
What metrics should I monitor for Vitamin D Deficiency?
Key metrics include: 25-OH Vitamin D, Calcium, PTH, Bone Mineral Density. Regular monitoring of these values can help track disease status and treatment response.
How is Vitamin D Deficiency diagnosed?
Diagnosis requires clinical evaluation and may include blood tests, physical examination, and other assessments.
Can Vitamin D Deficiency be prevented?
Prevention strategies typically focus on lifestyle modifications and managing risk factors. Early detection through screening is also important.
ð Condizioni Correlate
Esplora Le Tue Metriche
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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.