BODY BENCHMARKS

Name: Body Benchmarks Human Metrics Database
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Visceral Fat (Adult, Male), Adult, Male, All

Visceral Fat (Adult, Male) - Health metric data from Clinical Research

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 Visceral Fat (Adult, Male), Adult, Male, All

Evidence-based health assessment relies on accurate population benchmarks. this metric measurements for Male 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 Visceral Fat (Adult, Male)?

A measurement of this metric As a quantifiable health indicator measured in appropriate units, this metric enables systematic health assessment. Understanding normal ranges and what influences this metric empowers better health management.

How is Visceral Fat (Adult, Male) Measured?

Measurement context significantly influences this metric values, making standardization essential. Factors such as time of day, recent physical activity, food intake, and environmental conditions can affect this metric. Standardized measurement protocols account for these variables, ensuring that observed differences reflect true variation rather than measurement artifacts.

Distribution & Percentiles

The chart below shows how Visceral Fat (Adult, Male) 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 (1.8) 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 (18.2) 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)

1.78

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

25th Percentile (P25)

6.63

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)

13.38

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

95th Percentile (P95)

18.23

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 Deviation5

Distribution TypeNormal

PopulationAdult, Male

Demographic Variations in Visceral Fat (Adult, Male)

Demographic factors shape this metric values in meaningful ways that must be considered for accurate interpretation. Ethnicity influences this metric through genetic, environmental, and cultural factors unique to All populations. Research consistently shows demographic-specific patterns that make matched reference data essential. Age-related changes in the Adult group reflect developmental, hormonal, and lifestyle factors characteristic of this life stage. Biological sex differences affect this metric through hormonal influences, body composition variations, and physiological distinctions between Male individuals and others. Using demographic-matched benchmarks ensures your comparison reflects meaningful variation rather than expected population differences.

Factors Affecting Visceral Fat (Adult, Male)

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 Visceral Fat (Adult, Male)

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

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 Body Composition 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

Applying this metric knowledge to real-world health decisions involves several practical considerations. First, obtain accurate measurements under appropriate conditions. Second, compare your values to demographic-matched benchmarks. Third, consider trends over time rather than isolated values. Fourth, discuss findings with healthcare providers who can integrate this metric with your complete health picture. Fifth, if warranted, take evidence-based actions to optimize your this metric through lifestyle modifications or medical interventions.

🇷🇺 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:Clinical Research

Year:2020-2024

Population:Adult Male (All)

Evidence Level:Level 2 (clinical studies)

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, Male, All population, the median value is 10. Values between the 5th and 95th percentiles (1.8 to 18.2) 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 (6.6) and 75th (13.4) 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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