Distribution of Blood Eosinophil Count in the Chinese General Population

BACKGROUND: Current clinical assessments of blood eosinophil (EOS) count often overlook demographic variability, particularly in Asian populations, where large-scale data remain scarce. We aimed to define demographic-specific distributions of EOS counts and identify factors associated with elevated levels in the general Chinese population. METHODS: Using the large-scale Chinese health-check population dataset comprising over 680 000 participants (2010-2023), we conducted a cross-sectional study to characterize overall and demographic-stratified distributions of blood eosinophil counts and construct age- and sex-specific percentile curves. We then applied multivariable regression to quantify associations between EOS counts and selected respiratory and systemic conditions, adjusting for key demographic and clinical covariates. Robustness was evaluated through sensitivity analyses. RESULTS: _Bonferroni <0.05). Findings were robust in sensitivity analyses. CONCLUSIONS: In this large Chinese health-check population, blood eosinophil counts showed substantial demographic heterogeneity. These findings support age- and sex-stratified reference ranges and may inform more context-specific thresholds for eosinophilia in clinical practice.

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Publication Details

Journal
European Respiratory Journal
Published
2026-05-01
DOI
https://doi.org/10.1183/13993003.01570-2025
Primary Topic
Eosinophilic Disorders and Syndromes
Type
article
Field-Weighted Citation Impact
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article

Distribution of Blood Eosinophil Count in the Chinese General Population

Y W Lin, Wenhua Li, Li Li, Dongyu He et al.
European Respiratory Journal
Eosinophilic Disorders and Syndromes
article

Distribution of Blood Eosinophil Count in the Chinese General Population

Y W Lin, Wenhua Li, Li Li, Dongyu He, Peiji Yao, Lan Yang, Dan Liu, Jin Huang
article en

Abstract

BACKGROUND: Current clinical assessments of blood eosinophil (EOS) count often overlook demographic variability, particularly in Asian populations, where large-scale data remain scarce. We aimed to define demographic-specific distributions of EOS counts and identify factors associated with elevated levels in the general Chinese population. METHODS: Using the large-scale Chinese health-check population dataset comprising over 680 000 participants (2010-2023), we conducted a cross-sectional study to characterize overall and demographic-stratified distributions of blood eosinophil counts and construct age- and sex-specific percentile curves. We then applied multivariable regression to quantify associations between EOS counts and selected respiratory and systemic conditions, adjusting for key demographic and clinical covariates. Robustness was evaluated through sensitivity analyses. RESULTS: _Bonferroni <0.05). Findings were robust in sensitivity analyses. CONCLUSIONS: In this large Chinese health-check population, blood eosinophil counts showed substantial demographic heterogeneity. These findings support age- and sex-stratified reference ranges and may inform more context-specific thresholds for eosinophilia in clinical practice.

European Respiratory Journal
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Sichuan University (CN), West China Hospital of Sichuan University (CN), Zero to Three (US)
Good health and well-being
Openalex Percentile: Top 9%
Eosinophilic Disorders and Syndromes
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Distribution of Blood Eosinophil Count in the Chinese General Population — Y W Lin, Wenhua Li, et al. · European Respiratory Journal (2026) | TGRS Research Map | TGRS