BODY BENCHMARKS

Name: Body Benchmarks Human Metrics Database
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Diastolic Blood Pressure (18-29, Male), 18-29, Male

Diastolic Blood Pressure (18-29, 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.

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Reviewed by: Health Metrics Team

Comprehensive Guide to Diastolic Blood Pressure (18-29, Male), 18-29, Male

Whether you're tracking your health or interpreting clinical measurements, this metric benchmarks provide essential context. For 18-29 Male, having demographic-specific reference data matters significantly for accurate interpretation. The population median of 73 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 Diastolic Blood Pressure (18-29, Male)?

A measurement of this metric Cardiovascular metrics like this metric serve as windows into the complex workings of the heart and blood vessels. Expressed in appropriate units, this measurement helps clinicians assess cardiovascular health, track treatment effectiveness, and predict potential complications. Understanding your cardiovascular benchmarks empowers proactive health management.

How is Diastolic Blood Pressure (18-29, Male) 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 Diastolic Blood Pressure (18-29, 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

The distribution of this metric values across the population follows a characteristic pattern that reveals important health insights. The central 90% of values fall between 57 (5th percentile) and 89 (95th percentile), defining the typical range for healthy individuals. At the center, the median value of 73 indicates that half the population falls above and half below this point. The interquartile range—66 to 80—encompasses the middle 50% of values, representing the most common range. Understanding where your measurement falls within this distribution provides meaningful context for health assessment.

Percentile Values Breakdown

5th Percentile (P5)

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

25th Percentile (P25)

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)

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

95th Percentile (P95)

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 Deviation10

Distribution TypeNormal

Population18-29, Male

Demographic Variations in Diastolic Blood Pressure (18-29, Male)

Age significantly influences this metric through biological processes that vary across the lifespan. Young adults aged 18-29 typically demonstrate values reflecting peak physical development and physiological efficiency. Age-appropriate reference data ensures accurate interpretation regardless of life stage.

Factors Affecting Diastolic Blood Pressure (18-29, Male)

Cardiovascular metrics like this metric respond to lifestyle factors, genetic predisposition, and overall cardiovascular health. Regular physical activity, dietary choices (particularly sodium and fat intake), stress levels, sleep quality, and substance use directly influence cardiovascular function. Genetic factors affect underlying cardiovascular physiology and risk profiles. Medications, health conditions, and body composition also contribute to individual values. The modifiable nature of many cardiovascular determinants makes lifestyle optimization particularly impactful.

Health Implications of Diastolic Blood Pressure (18-29, Male)

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. 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:18-29 Male

Evidence Level:Level 1

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 18-29, Male, the median value is 73. Values between the 5th and 95th percentiles (57 to 89) represent normal variation. Using demographic-matched benchmarks ensures appropriate comparison.

What's the significance of this metric percentiles?

Percentiles show where your this metric falls relative to others in your demographic group. At the 50th percentile (73), half the population is above and half below. Between the 25th (66) and 75th (80) 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.

Can my this metric change over time?

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 18-29 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.

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