BODY BENCHMARKS

Name: Body Benchmarks Human Metrics Database
Creator: Body Benchmarks

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HOMA-IR, Adult, All, All

HOMA-IR - Health metric data from Clinical Reference Ranges

Body Benchmarks Research TeamMPH, MS

Health Metrics Specialists

Dedicated team of health scientists and data analysts specializing in body metrics research and population health data.

About Body Publications

Reviewed by: Health Metrics Team

Comprehensive Guide to HOMA-IR, Adult, All, All

Whether you're tracking your health or interpreting clinical measurements, this metric benchmarks provide essential context. For Adult All of All background, having demographic-specific reference data matters significantly for accurate interpretation. The population median of 2.5 serves as a central reference point, though individual optimal values may vary. Explore the complete distribution, understand what influences these measurements, and discover how to apply this knowledge to your health journey.

What is HOMA-IR?

A measurement of this metric The measurement of this metric in standard units provides objective health data that supports clinical decisions and personal health monitoring. Population reference values contextualize individual measurements within expected ranges.

How is HOMA-IR Measured?

The procedure for measuring this metric follows evidence-based protocols designed to maximize accuracy and reproducibility. Key procedural elements include: appropriate subject positioning, correct equipment use, consistent timing, and accurate recording. When these elements are standardized, this metric measurements provide reliable data for health assessment and comparison.

Distribution & Percentiles

The chart below shows how HOMA-IR is distributed across the population. The percentile values help you understand where you fall relative to others in your demographic group.

Insufficient data for visualization

This metric does not have enough statistical parameters for generating a visualization.

Understanding Percentile Distribution

The distribution of this metric values across the population follows a characteristic pattern that reveals important health insights. The central 90% of values fall between 0.3 (5th percentile) and 5.0 (95th percentile), defining the typical range for healthy individuals. At the center, the median value of 2.5 indicates that half the population falls above and half below this point. The interquartile range—1.5 to 3.5—encompasses the middle 50% of values, representing the most common range. Understanding where your measurement falls within this distribution provides meaningful context for health assessment.

Percentile Values Breakdown

5th Percentile (P5)

0.25

5% of the population falls below this value. This represents the lower range of typical variation.

25th Percentile (P25)

1.49

25% of the population falls below this value. This represents the lower-middle range.

50th Percentile (Median)

2.5

This is the middle value. 50% of the population falls below and 50% falls above this value.

75th Percentile (P75)

3.51

75% of the population falls below this value. This represents the upper-middle range.

95th Percentile (P95)

4.97

95% of the population falls below this value. This represents the upper range of typical variation.

Mean (Average)

2.5

The arithmetic average of all values. This may differ from the median if the distribution is skewed.

Statistical Summary

Standard Deviation1.5

Distribution TypeNormal

PopulationAdult, All

Demographic Variations in HOMA-IR

The intersection of demographic factors creates unique patterns in this metric that require matched reference data for accurate assessment. For All All individuals aged Adult, the combination of ethnicity, age, and sex produces a specific profile that differs from other demographic combinations. Using precisely matched reference data provides the most relevant comparison for your individual measurement. This demographic specificity enhances the clinical utility and personal relevance of benchmark comparisons.

Factors Affecting HOMA-IR

What determines your this metric? Multiple factors contribute, from inherited genetic traits to daily lifestyle choices. Environmental influences, health conditions, and life stage all play roles in shaping individual values. Recognizing this multifactorial nature supports realistic interpretation and informed health decisions. Some influences offer opportunities for modification while others must simply be understood and accepted.

Health Implications of HOMA-IR

What can your this metric measurement tell you about potential health actions? Values within normal ranges generally require continued monitoring rather than intervention. Values at extremes may suggest opportunities for lifestyle modification or the need for further evaluation. Key questions to consider: Has your this metric changed significantly over time? Do you have symptoms related to this metric? Do other health indicators suggest concern? Are lifestyle modifications possible? Many factors influencing this metric respond to lifestyle modifications, making proactive health management potentially impactful.

Clinical Significance

From clinical perspective, this metric provides actionable health information when properly contextualized. In metabolic assessment, this metric helps clinicians evaluate current status, track changes, and guide interventions. but individual assessment considers the complete clinical picture. Discussion with healthcare providers enables personalized interpretation relevant to your specific health situation.

Research Insights

Population health research provides the foundation for this metric benchmarks used in clinical practice. Ongoing research continues to refine understanding of normal variation, demographic patterns, and health implications associated with this metric.

Practical Applications

this metric data serves practical purposes across multiple contexts. For individuals: understanding your values relative to benchmarks, tracking changes over time, and informing health discussions with providers. For healthcare: screening, diagnosis, treatment monitoring, and outcome assessment. For researchers: studying population health trends, evaluating interventions, and identifying health disparities. For public health: surveillance, policy development, and health promotion. This multi-level utility makes this metric benchmarks valuable across the health ecosystem.

🇯🇵 地域の健康データ: 日本

✓公式情報源で確認済みのデータ

日本のデータは厚生労働省が毎年実施する「国民健康・栄養調査」に基づいています。2019年調査では約5,000世帯が参加しました。

日本の国民皆保険制度は全国民をカバーし、定期健康診断と予防医療を重視しています。

公式データ厚生労働省 ↗

注：主要データはCDC NHANES（米国）からのものです。地域統計は公式の国民健康調査に基づいています。 (2024-01)

📊Data Transparency & Sources

Sources & References

Source Citation

Source:Clinical Reference Ranges

Year:2020-2024

Population:Adult All (All)

Evidence Level:Level 2 (clinical studies)

View Original Source →

Frequently Asked Questions

How do I know if my this metric is normal?

Normal this metric encompasses a range of values that varies by demographic group. For individuals aged Adult, All, All population, the median value is 2.5. Values between the 5th and 95th percentiles (0.3 to 5.0) represent normal variation. Using demographic-matched benchmarks ensures appropriate comparison.

How should I interpret my this metric percentile?

Percentiles show where your this metric falls relative to others in your demographic group. At the 50th percentile (2.5), half the population is above and half below. Between the 25th (1.5) and 75th (3.5) percentiles represents the middle half of the distribution—where most healthy values fall. Percentiles at extreme ends (below 5th or above 95th) are less common but not necessarily abnormal. Context matters for interpretation.

How might my this metric change as I age?

this metric can change over time due to age-related processes, lifestyle modifications, health conditions, and interventions. Some factors are relatively fixed (like genetics), while others respond to deliberate changes (like exercise or diet). In the Adult age range, age-related changes may be occurring. Tracking your this metric over time reveals personal trends that provide valuable health information. Consistent measurement conditions enable meaningful comparison of values over time.

When is this metric a health concern?

Consider discussing your this metric with a healthcare provider if: values fall significantly outside normal range (below 5th or above 95th percentile), you've noticed substantial changes over time, values are associated with symptoms, or you have questions about health implications. Being at a percentile extreme doesn't automatically indicate problems—many healthy individuals naturally fall at distribution tails. Clinical significance depends on context, symptoms, and other health factors. Healthcare providers can offer personalized interpretation.

Are this metric values different for All populations?

this metric values differ across ethnic groups due to genetic, environmental, and lifestyle factors. All populations show characteristic patterns that reflect population-specific genetics, dietary traditions, activity patterns, and environmental influences. These differences are normal and expected—not indicators of better or worse health. Using All-specific reference data ensures your comparison reflects meaningful variation rather than expected population differences. This demographic specificity improves the accuracy and relevance of health assessment.

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