Systolic Blood Pressure (18-29, Male) - Health metric data from CDC NHANES 2017-2020
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How does your this metric compare to others in your demographic group? For the general population of Male in the 18-29 age range, understanding normal variation is crucial for meaningful health assessment. Values typically range from 91 to 141, encompassing 90% of the population. This guide provides the data-driven insights you need to interpret your measurements accurately and make informed decisions about your health.
A measurement of this metric Within cardiovascular medicine, this metric (measured in standard units) represents a key diagnostic and monitoring parameter. This metric reflects the dynamic interaction between heart function, blood vessel health, and metabolic status. Abnormal values may signal the need for further investigation or lifestyle modifications.
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.
The chart below shows how Systolic 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.
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This metric does not have enough statistical parameters for generating a visualization.
From a clinical perspective, this metric percentiles guide interpretation and decision-making. The 5th percentile (91) marks the lower boundary where only 5% of the population falls below. Values in this range may warrant clinical attention depending on context. Similarly, the 95th percentile (141) represents the upper threshold, with only 5% exceeding this value. Clinicians use these benchmarks alongside other factors to assess individual health status.
91
5% of the population falls below this value. This represents the lower range of typical variation.
106
25% of the population falls below this value. This represents the lower-middle range.
116
This is the middle value. 50% of the population falls below and 50% falls above this value.
126
75% of the population falls below this value. This represents the upper-middle range.
141
95% of the population falls below this value. This represents the upper range of typical variation.
116
The arithmetic average of all values. This may differ from the median if the distribution is skewed.
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.
The cardiovascular metric this metric reflects the dynamic state of heart and circulatory health influenced by numerous factors. Aerobic fitness, dietary composition, body weight, stress levels, and substance use directly impact cardiovascular function. Genetic factors determine baseline cardiovascular physiology and disease risk. Age-related changes, hormonal factors, and health conditions further modify individual values. This multifactorial nature makes cardiovascular health amenable to comprehensive lifestyle approaches.
Interpreting this metric within proper context requires balanced consideration of population benchmarks and individual factors. Values within typical ranges generally indicate normal variation rather than health concerns. Values outside these ranges warrant contextual interpretation rather than automatic alarm—many healthy individuals fall at the extremes. Clinical significance depends on: how far values deviate from expected ranges, whether changes have occurred over time, presence of associated symptoms, and relationship to other health indicators. Consultation with healthcare providers enables personalized interpretation that accounts for your complete health picture.
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 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.
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.
Os dados antropométricos brasileiros vêm da Pesquisa de Orçamentos Familiares (POF) 2008-2009 do IBGE, com medições diretas de mais de 180.000 pessoas.
O Sistema Único de Saúde (SUS) oferece cobertura universal gratuita com programas de atenção básica e monitoramento de saúde populacional.
Dados oficiais de IBGE / Ministério da Saúde ↗
Nota: Os dados principais são do CDC NHANES (EUA). As estatísticas locais são de pesquisas nacionais oficiais. (2024-01)
Normal this metric encompasses a range of values that varies by demographic group. For individuals aged 18-29, Male, the median value is 116. Values between the 5th and 95th percentiles (91 to 141) represent normal variation. Using demographic-matched benchmarks ensures appropriate comparison.
Percentiles show where your this metric falls relative to others in your demographic group. At the 50th percentile (116), half the population is above and half below. Between the 25th (106) and 75th (126) 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.
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.
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.
