BODY BENCHMARKS

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TSI, Adult, All, All

TSI - Health metric data from American Thyroid Association

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Comprehensive Guide to TSI, 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 90 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 TSI?

A measurement of this metric As a quantifiable health indicator measured in appropriate units, this metric enables systematic health assessment. Understanding normal ranges and what influences this metric empowers better health management.

How is TSI Measured?

Measurement context significantly influences this metric values, making standardization essential. 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 TSI 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 (90), you're exactly at the population median—neither high nor low relative to others. Values between 69.8 and 110.3 (25th to 75th percentile) are considered typical, representing the central half of the distribution. The extremes—below 40.6 or above 139.3—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)

40.65

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

25th Percentile (P25)

69.75

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)

110.25

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

95th Percentile (P95)

139.35

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 Deviation30

Distribution TypeNormal

PopulationAdult, All

Demographic Variations in TSI

Biological sex creates distinct patterns in this metric through hormonal, anatomical, and physiological differences. All 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. Within All populations aged Adult, sex-based differences remain consistent with broader patterns while showing population-specific nuances. Using sex-matched benchmarks enables meaningful comparison that accounts for fundamental biological variation.

Factors Affecting TSI

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 TSI

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

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 Endocrine 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

Scientific understanding of this metric continues to evolve through ongoing research. Current research explores how this metric relates to health outcomes, what factors influence it, and how benchmarks should be updated as populations change. This evolving science ensures that reference values remain relevant and useful.

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.

🇪🇸 Datos de Salud Regionales: España

✓Datos verificados de fuentes oficiales

Los datos españoles provienen de la Encuesta Nacional de Salud (ENSE) 2017, realizada por el Ministerio de Sanidad y el INE con más de 23.000 participantes.

El Sistema Nacional de Salud español ofrece cobertura universal gratuita con énfasis en atención primaria y medicina preventiva.

Datos oficiales de Ministerio de Sanidad ↗

Nota: Los datos principales son de CDC NHANES (EE.UU.). Las estadísticas locales son de encuestas nacionales oficiales. (2024-01)

📊Data Transparency & Sources

Sources & References

Source Citation

Source:American Thyroid Association

Year:2020-2024

Population:Adult All (All)

Evidence Level:Level 1 (clinical 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 90. Values between the 5th and 95th percentiles (40.6 to 139.3) 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 (90), half the population is above and half below. Between the 25th (69.8) and 75th (110.3) 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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