PFLPhysiological Fitness Landscape

Biomarkers · Hematology

White Blood Cell Count (WBC)

Lower values go with lower risk of death. In NHANES 1999–2018 with linked mortality to 2019, each standard deviation above average goes with 20% higher risk of death. We found the same pattern in NHANES

WBC and risk of death

NHANES, our fit with 95% CIPublished curve

Published curve higher than the NHANES fitNHANES fit higher

Risk of death relative to each curve's own reference value, so the two curves need not cross 1 at the same point. The dotted vertical line marks the NHANES median.

Risk of death per SD (NHANES)1.20×95% CI 1.17–1.22 · 49,104 adults, 7,188 deaths
Published risk of death1.42×10th decile of total WBC vs decile of lowest risk, men (women: 1.54, 1.42-1.68) (95% CI 1.33–1.53) · General Taiwanese adult population (men; sex-specific Cox models); n=436,750 per title
Value of the measurement+0.014gain in concordance within age bands; rank 27 of 56 · all tests

WBC by age and sex

Each bar runs from the 5th to the 95th percentile, the darker part from the 25th to the 75th, and the tick is the median. Not a reference range or a target.

The percentiles as a table
Each row is one sex and age band: the values below which 5%, 25%, 50%, 75% and 95% of people fall (10^3 cells/uL), from the survey named in the row. Not a reference range or a target.
SexAge5th25thMedian75th95thnCycle / source
All20-394.506.007.108.7011.31,457NHANES 2017-2018
All40-594.205.707.008.5011.31,584NHANES 2017-2018
All60+4.405.607.008.4011.21,940NHANES 2017-2018
Allall4.405.807.108.5011.34,981NHANES 2017-2018
Men20-394.205.806.808.4011.1698NHANES 2017-2018
Men40-594.305.706.908.4010.8740NHANES 2017-2018
Men60+4.415.607.208.6411.2981NHANES 2017-2018
Menall4.305.706.908.4011.12,419NHANES 2017-2018
Women20-394.606.207.408.9011.5759NHANES 2017-2018
Women40-594.105.707.308.7011.7844NHANES 2017-2018
Women60+4.305.606.908.3011.1959NHANES 2017-2018
Womenall4.405.807.208.6011.52,562NHANES 2017-2018

What studies found when this marker was changed

They describe what happened in those study groups, not a recommendation. See all catalogued interventions.

Each row is one study: what was changed, the effect it reported on this marker, and the source.
TypeInterventionReported effectEvidenceSource
behavioralSmoking cessationSuccessful quitters had significant decreases in WBC count after 1 year vs continuing smokers, independent of weight changeprospective cohortKing CC, et al. Longitudinal Impact of Smoking and Smoking Cessation on…
behavioralSmoking cessationWBC and neutrophil counts fell significantly within one year of quitting and stayed lower beyond two years (effect size not reported)cohortHiguchi T, et al. Current cigarette smoking is a reversible cause of elevated…
clinicalTreatment of chronic dental focal infection (periodontitis)Non-surgical periodontal therapy reduced WBC and neutrophil counts at 6-8 weeks (effect size not reported)non-randomised trialGuan X, et al. Effects of Non-Surgical Treatment on Hematological Indices in…
dietHigh adherence to the Mediterranean diet in healthy adults14% lower white blood cell counts in the highest vs lowest tertile of Mediterranean diet score (p = 0.001)cross-sectionalChrysohoou C, et al. Adherence to the Mediterranean diet attenuates…

Things that worsen it

Each row is one study: what was changed, the effect it reported on this marker, and the source.
TypeCondition or exposureReported effectEvidenceSource
pharmacologicMyelosuppressive chemotherapyMyelosuppressive chemotherapy causes neutropenia (effect size not reported)clinical guidelineFreifeld AG, et al. Clin Infect Dis. 2011;52:e56-e93.

Sources

Map White Blood Cell Count (WBC) against another biomarker.

Related markers: Absolute Lymphocyte Count · Absolute Neutrophil Count · Basophil Count · Eosinophil Count · Hematocrit · Hemoglobin Concentration · Immature Reticulocyte Fraction · Lymphocyte Percentage