BODY BENCHMARKS

Name: Body Benchmarks Human Metrics Database
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Serum Iron (Adult, Male), Adult, Male, All

Serum Iron (Adult, Male) - Health metric data from CDC NHANES 2017-2020

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 Serum Iron (Adult, Male), Adult, Male, All

Population health research has established robust benchmarks for this metric across diverse demographic groups. This analysis focuses specifically on Male aged Adult, with data representing All populations. The interquartile range of 79.8 to 120.3 represents the central 50% of values where most healthy individuals fall. Understanding these benchmarks enables more accurate health monitoring and supports evidence-based decision-making.

What is Serum Iron (Adult, Male)?

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 Serum Iron (Adult, Male) Measured?

Reliable this metric measurement depends on properly calibrated equipment and trained personnel. The NHANES survey utilizes medical-grade instruments that undergo regular calibration checks. Measurement equipment meets strict specifications for precision and accuracy. Technicians complete comprehensive training programs before conducting measurements and receive ongoing quality assurance monitoring. For consistent results, equipment should be calibrated according to manufacturer specifications, measurement environment should be controlled, and standardized procedures should be followed precisely. These quality measures ensure that this metric values are meaningful and comparable.

Distribution & Percentiles

The chart below shows how Serum Iron (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

Comparing your this metric to population percentiles reveals where you stand relative to others in your demographic group. A value at the 25th percentile (79.8) means approximately one-quarter of the population has lower values than yours. At the 75th percentile (120.3), three-quarters of the population falls below your value. These comparisons provide context for understanding your individual measurement.

Percentile Values Breakdown

5th Percentile (P5)

50.65

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

25th Percentile (P25)

79.75

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

50th Percentile (Median)

100

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

75th Percentile (P75)

120.25

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

95th Percentile (P95)

149.35

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

Mean (Average)

100

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

Statistical Summary

Standard Deviation30

Distribution TypeNormal

PopulationAdult, Male

Demographic Variations in Serum Iron (Adult, Male)

Population-specific patterns in this metric reflect the complex interplay of genetics, environment, and health behaviors. All populations exhibit characteristic this metric distributions that differ from other groups due to genetic predisposition, dietary patterns, physical activity norms, and environmental factors. These differences are well-documented in health research and inform demographic-specific reference ranges. Within All Male aged Adult, these patterns become more specific, reflecting the intersection of multiple demographic factors. Acknowledging these differences doesn't imply better or worse—just different normal ranges that enable more accurate assessment.

Factors Affecting Serum Iron (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 Serum Iron (Adult, Male)

this metric represents one component within the complex picture of overall health. No single metric defines health status; this metric values gain meaning when interpreted alongside other measurements, symptoms, lifestyle factors, and health history. A value that appears concerning in isolation may be less significant when viewed within broader context—and vice versa. Within Blood Count assessment, this metric contributes specific information that clinicians synthesize with related indicators. Healthcare providers integrate this metric with other data to form comprehensive assessments and recommendations. Maintaining perspective on this metric as part of a larger health picture supports balanced interpretation and appropriate response to individual values.

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 Blood Count 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. The NHANES program, conducted continuously since the 1960s, provides among the most comprehensive this metric data available. This nationally representative survey combines standardized physical measurements with health interviews, enabling researchers to understand how this metric relates to health outcomes across diverse populations. NHANES data has informed countless research studies, clinical guidelines, and health policies.

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.

🇨🇳 区域健康数据: 中国

✓经官方来源核实的数据

中国数据来自国家卫健委发布的《中国居民营养与慢性病状况报告（2020年）》，基于全国性的监测调查。

中国医疗卫生体系覆盖城乡居民，基本医疗保险参保率超过95%，强调预防为主和健康管理。

官方数据来自国家卫生健康委员会 ↗

注：主要数据来自CDC NHANES（美国）。本地统计数据来自官方国家健康调查。 (2024-01)

📊Data Transparency & Sources

Sources & References

Source Citation

Source:CDC NHANES 2017-2020

Year:2020-2024

Population:Adult Male (All)

Evidence Level:Level 1 (nationally representative survey)

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, Male, All population, the median value is 100. Values between the 5th and 95th percentiles (50.6 to 149.3) 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 (100), half the population is above and half below. Between the 25th (79.8) and 75th (120.3) 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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