BODY BENCHMARKS

Name: Body Benchmarks Human Metrics Database
Creator: Body Benchmarks

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Albumin, Adult, All, All

Albumin - 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 Albumin, 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 4.2 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 Albumin?

A measurement of this metric This health metric, measured in appropriate units, provides valuable information for health assessment and monitoring. Understanding what this metric represents and how it varies across populations helps individuals and healthcare providers make informed decisions.

How is Albumin Measured?

The procedure for measuring this metric follows evidence-based protocols designed to maximize accuracy and reproducibility. NHANES measurements adhere to detailed procedural manuals that specify every aspect of the measurement process. From subject preparation to data recording, each step follows standardized procedures that minimize measurement error. 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 Albumin 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 range of this metric values in the population spans considerable variation, all within normal bounds. From 3.6 to 4.8, the 5th-to-95th percentile range of 1.2 represents typical population variation. The narrower interquartile range of 0.5 (from 4.0 to 4.4) captures where most values concentrate. This natural variation reflects the diversity in healthy populations.

Percentile Values Breakdown

5th Percentile (P5)

3.62

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

25th Percentile (P25)

3.96

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

50th Percentile (Median)

4.2

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

75th Percentile (P75)

4.44

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

95th Percentile (P95)

4.78

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

Mean (Average)

4.2

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

Statistical Summary

Standard Deviation0.35

Distribution TypeNormal

PopulationAdult, All

Demographic Variations in Albumin

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 All individuals and others. Using demographic-matched benchmarks ensures your comparison reflects meaningful variation rather than expected population differences.

Factors Affecting Albumin

this metric emerges from the interplay of nature and nurture across the lifespan. Genetic factors establish physiological frameworks, while lifestyle choices, environmental conditions, and health status shape specific values. Age-related changes add another layer of influence. Recognizing this complexity helps interpret measurements accurately and identify realistic opportunities for health optimization.

Health Implications of Albumin

Tracking this metric over time provides more valuable health information than single measurements. While individual values inform current status, trends reveal important patterns: stable values suggest consistent health status, while changing values may indicate developing conditions or successful interventions. Establishing your personal baseline—through repeated measurements under similar conditions—enables meaningful comparison over time. Regular monitoring, whether through clinical visits or personal tracking, supports early detection of meaningful changes and evaluation of health interventions.

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

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

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.

🇰🇷 지역 건강 데이터: 대한민국

✓공식 출처에서 확인된 데이터

한국 데이터는 질병관리청이 매년 실시하는 국민건강영양조사(KNHANES)에 기반합니다. 이 조사는 전국적으로 약 10,000명을 대상으로 직접 측정을 실시합니다.

한국의 국민건강보험제도는 전 국민을 대상으로 하며, 국가건강검진 프로그램을 통해 정기적인 건강 모니터링을 제공합니다.

공식 데이터 질병관리청 ↗

참고: 주요 데이터는 CDC NHANES(미국)에서 가져온 것입니다. 지역 통계는 공식 국가 건강 조사에서 가져온 것입니다. (2024-01)

📊Data Transparency & Sources

Sources & References

Source Citation

Source:CDC NHANES 2017-2020

Year:2017-2020

Population:Adult All (All)

Evidence Level:Level 1 (NHANES nationally representative survey)

View Original Source →

Frequently Asked Questions

Is my this metric within normal limits?

Normal this metric encompasses a range of values that varies by demographic group. For individuals aged Adult, All, All population, the median value is 4.2. Values between the 5th and 95th percentiles (3.6 to 4.8) represent normal variation. Using demographic-matched benchmarks ensures appropriate comparison.

Where does my this metric rank compared to others?

Percentiles show where your this metric falls relative to others in your demographic group. At the 50th percentile (4.2), half the population is above and half below. Between the 25th (4.0) and 75th (4.4) 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.

What influences changes in 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.

What this metric values require medical attention?

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.

Why do this metric values differ across ethnic groups?

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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