BODY BENCHMARKS

Name: Body Benchmarks Human Metrics Database
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Non-HDL Cholesterol, Adult, All, All

Non-HDL Cholesterol - Health metric data from ACC/AHA Cholesterol Guidelines 2018

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 Non-HDL Cholesterol, 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 130 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 Non-HDL Cholesterol?

A measurement of this metric Healthcare providers and researchers utilize this metric (in appropriate units) as part of thorough health evaluation. This metric contributes to understanding overall health status and identifying potential areas of concern.

How is Non-HDL Cholesterol Measured?

Standardized measurement protocols ensure this metric data remains comparable across studies and populations. 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 Non-HDL Cholesterol 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 (106.4) means approximately one-quarter of the population has lower values than yours. At the 75th percentile (153.6), three-quarters of the population falls below your value. These comparisons provide context for understanding your individual measurement.

Percentile Values Breakdown

5th Percentile (P5)

72.43

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

25th Percentile (P25)

106.38

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

50th Percentile (Median)

130

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

75th Percentile (P75)

153.63

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

95th Percentile (P95)

187.58

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

Mean (Average)

130

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

Statistical Summary

Standard Deviation35

Distribution TypeNormal

PopulationAdult, All

Demographic Variations in Non-HDL Cholesterol

The intersection of demographic factors creates unique patterns in this metric that require matched reference data for accurate assessment. For All All individuals aged Adult, the combination of ethnicity, age, and sex produces a specific profile that differs from other demographic combinations. Using precisely matched reference data provides the most relevant comparison for your individual measurement. This demographic specificity enhances the clinical utility and personal relevance of benchmark comparisons.

Factors Affecting Non-HDL Cholesterol

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 Non-HDL Cholesterol

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 Blood Lipids, 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

Clinical utility of this metric extends beyond simple comparison to population norms. Healthcare providers consider: how values compare to demographic-matched benchmarks, whether significant changes have occurred, presence of associated symptoms, and relationship to other clinical findings. individual clinical significance depends on broader context. this metric contributes specific information to blood lipids evaluation. This nuanced approach enables meaningful clinical decision-making.

Research Insights

Research on this metric has established robust population benchmarks that inform clinical practice and public health policy. Population research on this metric combines rigorous measurement protocols with representative sampling to establish reliable benchmarks. These data support clinical practice, public health surveillance, and ongoing research.

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:ACC/AHA Cholesterol Guidelines 2018

Year:2018-2023

Population:Adult All (All)

Evidence Level:Level 1 (ACC/AHA Guidelines)

View Original Source →

Frequently Asked Questions

What is a normal this metric value?

Normal this metric encompasses a range of values that varies by demographic group. For individuals aged Adult, All, All population, the median value is 130. Values between the 5th and 95th percentiles (72.4 to 187.6) 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 (130), half the population is above and half below. Between the 25th (106.4) and 75th (153.6) 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.

Will my this metric stay the same throughout life?

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.

Should I worry about my this metric measurement?

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.

How does ethnicity affect this metric?

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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