BODY BENCHMARKS

Name: Body Benchmarks Human Metrics Database
Creator: Body Benchmarks

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Homocysteine, Adult, All, All

Homocysteine - Health metric data from American Heart Association

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 Homocysteine, Adult, All, All

Evidence-based health assessment relies on accurate population benchmarks. this metric measurements for All aged Adult (All population) provide essential reference points backed by rigorous scientific methodology. With a median value of 10, the distribution reveals meaningful patterns about population health. This comprehensive analysis examines measurement protocols, statistical distributions, clinical significance, and practical implications for health monitoring.

What is Homocysteine?

A measurement of this metric this metric is a fundamental cardiovascular indicator that healthcare providers assess routinely. Quantified in standard units, it provides actionable information about heart and circulatory health. Whether used for screening, diagnosis, or ongoing monitoring, cardiovascular metrics inform critical healthcare decisions.

How is Homocysteine Measured?

Standardized measurement protocols ensure this metric data remains comparable across studies and populations. Accurate this metric measurement requires attention to standardized conditions: appropriate equipment calibration, consistent measurement technique, proper subject preparation, and trained personnel. These factors minimize variability and ensure reliable results.

Distribution & Percentiles

The chart below shows how Homocysteine 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

From a clinical perspective, this metric percentiles guide interpretation and decision-making. The 5th percentile (5.1) marks the lower boundary where only 5% of the population falls below. Values in this range may warrant clinical attention depending on context. Similarly, the 95th percentile (14.9) represents the upper threshold, with only 5% exceeding this value. Clinicians use these benchmarks alongside other factors to assess individual health status.

Percentile Values Breakdown

5th Percentile (P5)

5.06

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

25th Percentile (P25)

7.98

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

50th Percentile (Median)

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

75th Percentile (P75)

12.03

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

95th Percentile (P95)

14.94

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

Mean (Average)

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

Statistical Summary

Standard Deviation3

Distribution TypeNormal

PopulationAdult, All

Demographic Variations in Homocysteine

Age significantly influences this metric through biological processes that vary across the lifespan. For All All individuals, age-specific benchmarks account for these developmental patterns. Age-appropriate reference data ensures accurate interpretation regardless of life stage.

Factors Affecting Homocysteine

What influences this metric? Cardiovascular health reflects the cumulative impact of daily choices and inherited factors. Physical fitness, dietary patterns, stress management, and sleep habits directly affect cardiovascular function. Genetic inheritance shapes underlying physiology and disease susceptibility. Body composition, particularly visceral fat, influences cardiovascular metrics. The good news: many cardiovascular determinants respond to lifestyle modification, offering opportunities for improvement regardless of genetic background.

Health Implications of Homocysteine

this metric values contribute to overall health risk assessment when interpreted alongside other factors. Extreme values—particularly those below the 5th or above the 95th percentile—may indicate increased health risks depending on the specific metric and clinical context. However, being at an extreme doesn't automatically mean poor health; some individuals naturally fall at distribution tails. Risk assessment considers: absolute values, trends over time, family history, lifestyle factors, and co-existing health conditions. Within Cardiovascular, this metric contributes specific risk information that clinicians integrate with broader health assessment. Understanding your this metric as one piece of a larger health puzzle supports informed decision-making.

Clinical Significance

Healthcare providers interpret this metric within comprehensive clinical assessment. but clinical interpretation weighs individual values against patient history, symptoms, other measurements, and treatment goals. Within Cardiovascular assessment, this metric contributes specific diagnostic and monitoring value. Clinicians use this metric data for screening, diagnosis, treatment monitoring, and outcome assessment—always interpreted within individual clinical context.

Research Insights

Research on this metric has established robust population benchmarks that inform clinical practice and public health policy. Population research on this metric combines rigorous measurement protocols with representative sampling to establish reliable benchmarks. These data support clinical practice, public health surveillance, and ongoing research.

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.

🇷🇺 Региональные данные о здоровье: Россия

✓Проверенные данные из официальных источников

Данные о здоровье населения России собираются Росстатом в рамках выборочных наблюдений состояния здоровья населения.

Система здравоохранения России обеспечивает бесплатную медицинскую помощь через систему обязательного медицинского страхования (ОМС) и включает регулярную диспансеризацию.

Официальные данные Росстат / Минздрав ↗

Примечание: Основные данные из CDC NHANES (США). Местная статистика из официальных национальных обследований здоровья. (2024-01)

📊Data Transparency & Sources

Sources & References

Source Citation

Source:American Heart Association

Year:2020-2024

Population:Adult All (All)

Evidence Level:Level 1 (clinical guidelines)

View Original Source →

Frequently Asked Questions

What this metric range is typical?

Normal this metric encompasses a range of values that varies by demographic group. For individuals aged Adult, All, All population, the median value is 10. Values between the 5th and 95th percentiles (5.1 to 14.9) represent normal variation. Using demographic-matched benchmarks ensures appropriate comparison.

How do percentiles work for this metric?

Percentiles show where your this metric falls relative to others in your demographic group. At the 50th percentile (10), half the population is above and half below. Between the 25th (8.0) and 75th (12.0) 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.

Is it possible to change my this metric?

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 should I be concerned about my this metric?

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.

Should I use ethnicity-specific this metric benchmarks?

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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