White blood cell count and the metabolic syndrome in older Chinese: The Guangzhou Biobank Cohort Study

XQ Lao, Graham Thomas, C Jiang, W Zhang, Peymane Adab, TH Lam, Kar Cheng

    Research output: Contribution to journalArticle

    39 Citations (Scopus)


    Aims: To examine the association between white blood cell count (WBC) and metabolic syndrome (MS) in an older Chinese population. Methods: Three thousand and twenty men and 7256 women aged 50-85 years were recruited and received a medical check-Lip including measurement of complete blood count, blood pressure, obesity indices, fasting total, LDL-, HIDL-cholesterol, triglycerides. glucose and C-reactive protein (CRP). Information on socioeconomic and lifestyle factors was also collected. Results: Vascular risk factors including waist circumference. body mass index, triglyceride, total-, LDL-cholesterol, CRP and systolic and diastolic blood pressures were all positively associated with WBC in both men and women (1) from 0.0085 to <0.001). The risk of MS increased significantly with higher total WBC, with adjusted odds ratios (95% confident interval) for second and third tertiles of 1.86 (1.43, 2.42), 2.56 (1.98, 3.32) in men and 1.67 (1.46, 1.90), 2.66 (2.34, 3.03) in women, respectively. Neutrophil and lymphocyte were strongly correlated with total WBC and showed similar association with the MS. Conclusion: There is a strong relationship between total WBC. neutrophil and lymphocyte and the constellation of MS components and associated vascular risk in this older Chinese Population. (C) 2008 Elsevier Ireland Ltd. All rights reserved.
    Original languageEnglish
    Pages (from-to)418-424
    Number of pages7
    Issue number2
    Publication statusPublished - 1 Dec 2008


    • Vascular risk factors
    • Metabolic syndrome
    • White blood cell
    • Chinese


    Dive into the research topics of 'White blood cell count and the metabolic syndrome in older Chinese: The Guangzhou Biobank Cohort Study'. Together they form a unique fingerprint.

    Cite this