The association between eosinophil count, serum lipids and metabolic syndrome in Taiwanese.

BACKGROUND

Eosinophil count, dyslipidemia, and metabolic syndrome (MetS) are associated with systemic inflammation. We conducted this large population-based study to investigate the association between elevated eosinophil count, serum lipids, and MetS in the Taiwanese population.

METHODS

A cross-sectional study of 10,357 adults who underwent health checkups at Shin Kong Wu Ho-Su Memorial Hospital in Taiwan between January 2006 and December 2016 was conducted. MetS was defined according to criteria modified by the International Diabetes Federation specifically for the Chinese population. The measurement of serum lipids included high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), apolipoprotein A-I (ApoA-I), and apolipoprotein B (ApoB). Pearson's correlation and linear regression were used to determine the association of eosinophil count with waist circumference, blood pressure, fasting glucose, and serum lipids. Multivariate logistic regression analysis was used to determine the odds ratio of MetS and abnormal serum lipid levels in each eosinophil count quartile.

RESULTS

Eosinophil count was positively associated with triglycerides levels and negatively associated with HDL-C levels; however, it was not significantly associated with ApoA-I and ApoB. The odds ratio of MetS increased significantly across eosinophil count quartiles. The adjusted odds ratios of MetS for the second, third, and fourth quartiles were 1.28, 1.38, and 1.42, respectively, with reference to the first quartile.

CONCLUSIONS

High eosinophil count is an independent risk factor for MetS. Hypertriglyceridemia and hypo-HDL-cholesterolemia might partly contribute to this result.