Resting Heart Rate (18-29, Male), 18-29, Male

Resting Heart Rate (18-29, Male) - Health metric data from CDC NHANES 2017-2020

Comprehensive Guide to Resting Heart Rate (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 70 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 Resting Heart Rate (18-29, Male)?

A measurement of this metric As a cardiovascular health indicator, this metric provides critical insight into heart function and circulatory system status. Measured in standard units, this metric helps identify potential cardiovascular risks before they become symptomatic. Regular monitoring of cardiovascular metrics forms a cornerstone of preventive healthcare.

How is Resting Heart Rate (18-29, Male) Measured?

Standardized measurement protocols ensure this metric data remains comparable across studies and populations. The CDC's NHANES program employs rigorously validated procedures developed over decades of population health research. Trained technicians use calibrated equipment following detailed protocols that specify positioning, timing, and environmental conditions. Multiple quality control measures—including regular equipment calibration, inter-rater reliability checks, and data validation—ensure measurement accuracy. Accurate this metric measurement requires attention to standardized conditions: appropriate equipment calibration, consistent measurement technique, proper subject preparation, and trained personnel. These factors minimize variability and ensure reliable results.

Distribution & Percentiles

The chart below shows how Resting Heart Rate (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 range of this metric values in the population spans considerable variation, all within normal bounds. From 50 to 90, the 5th-to-95th percentile range of 40 represents typical population variation. The narrower interquartile range of 16 (from 62 to 78) captures where most values concentrate. This natural variation reflects the diversity in healthy populations.

Percentile Values Breakdown

5th Percentile (P5)

50

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

25th Percentile (P25)

62

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

50th Percentile (Median)

70

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

75th Percentile (P75)

78

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

95th Percentile (P95)

90

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

Mean (Average)

70

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

Statistical Summary

Standard Deviation12
Distribution TypeNormal
Population18-29, Male

Demographic Variations in Resting Heart Rate (18-29, Male)

Biological sex creates distinct patterns in this metric through hormonal, anatomical, and physiological differences. Male individuals demonstrate characteristic this metric distributions shaped by sex-specific hormonal profiles, body composition, and metabolic patterns. These differences emerge during puberty and persist throughout adulthood, making sex-specific reference data essential. Using sex-matched benchmarks enables meaningful comparison that accounts for fundamental biological variation.

Factors Affecting Resting Heart Rate (18-29, Male)

Cardiovascular function, as reflected in this metric, responds to a constellation of lifestyle, genetic, and health factors. Regular exercise strengthens cardiovascular efficiency, while dietary choices affect blood vessel health and metabolic function. Stress management and adequate sleep support optimal cardiovascular function. Genetic inheritance shapes underlying physiology, while health conditions and medications may modify values. Recognizing these diverse influences enables comprehensive approaches to cardiovascular wellness.

Health Implications of Resting Heart Rate (18-29, 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 Cardiovascular 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 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.

🇷🇺 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: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 70. Values between the 5th and 95th percentiles (50 to 90) 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 (70), half the population is above and half below. Between the 25th (62) and 75th (78) 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.