BODY BENCHMARKS

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

Hematocrit (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 Hematocrit (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 45, 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 Hematocrit (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 Hematocrit (Adult, Male) Measured?

Measurement context significantly influences this metric values, making standardization essential. NHANES protocols carefully control measurement conditions to minimize contextual variability. Survey centers maintain consistent environments, and measurement timing follows prescribed schedules. These controls enable meaningful comparison of values across the entire survey population. 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 Hematocrit (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

Interpreting your this metric measurement requires understanding what percentiles mean in practical terms. If your value matches the 50th percentile (45), you're exactly at the population median—neither high nor low relative to others. Values between 43.0 and 47.0 (25th to 75th percentile) are considered typical, representing the central half of the distribution. The extremes—below 40.1 or above 49.9—represent the outer 10% where values are less common but not necessarily abnormal. Percentile position helps contextualize your measurement within the broader population.

Percentile Values Breakdown

5th Percentile (P5)

40.07

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

25th Percentile (P25)

42.98

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)

47.03

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

95th Percentile (P95)

49.94

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, Male

Demographic Variations in Hematocrit (Adult, Male)

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

Factors Affecting Hematocrit (Adult, Male)

The factors influencing this metric span genetic inheritance, lifestyle behaviors, environmental conditions, and overall health status. This complexity means that individual values reflect numerous influences working together. While genetic factors set certain parameters, lifestyle modifications may still influence where values fall within those limits. Understanding these determinants supports meaningful interpretation of individual measurements.

Health Implications of Hematocrit (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 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.

🇮🇹 Dati Sanitari Regionali: Italia

✓Dati verificati da fonti ufficiali

I dati italiani provengono dall'indagine multiscopo ISTAT "Aspetti della vita quotidiana" che raccoglie informazioni sulla salute di circa 20.000 famiglie ogni anno.

Il Servizio Sanitario Nazionale (SSN) italiano garantisce copertura universale con servizi di prevenzione e monitoraggio della salute.

Dati ufficiali da ISTAT / Ministero della Salute ↗

Nota: I dati principali provengono da CDC NHANES (USA). Le statistiche locali sono da indagini sanitarie nazionali ufficiali. (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

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 45. Values between the 5th and 95th percentiles (40.1 to 49.9) 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 (45), half the population is above and half below. Between the 25th (43.0) and 75th (47.0) 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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