Association between erythrocyte parameters and metabolic syndrome in urban Han Chinese: a longitudinal cohort studyReport as inadecuate




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BMC Public Health

, 13:989

Chronic Disease epidemiology

Abstract

BackgroundAlthough various cross-sectional studies have shown that erythrocyte parameters, including red blood cell RBC, hemoglobin Hb and hematocrit HCT, were linked with metabolic syndrome MetS, few longitudinal studies have been used to confirm their relationship. The study, therefore, constructed a large-scale longitudinal cohort in urban Chinese population to highlight and confirm the association between erythrocyte parameters and MetS-its components.

MethodsA longitudinal cohort with 6,453 participants was established based on the routine health check-up systems to follow up MetS, and Generalized Estimating Equation GEE model was used to detect the association between erythrocyte parameters and MetS-its components obesity, hyperglycemia, dyslipidemia, and hypertension.

Results287 MetS occurred over the four-year follow-up, leading to a total incidence density of 14.19 per 1,000 person-years 287-20218 person-years. Both RBC and Hb were strongly associated with MetS RR-95% CI, P value; 3.016-1.525-5.967, 0.002 for RBC; 3.008-1.481-6.109, 0.002 for Hb, with their dose–response trends detected. All three erythrocyte parameters RBC, Hb and HCT were found to be associated with obesity, hypertension and dyslipidemia with similar dose–response trends respectively, while only Hb showed a significant association with hyperglycemia.

ConclusionsElevated erythrocyte parameters were confirmed to be associated with MetS-its components in urban Chinese population, suggesting that erythrocyte parameters might be served as a potential predictor for risk of MetS.

KeywordsMetabolic syndrome MetS Erythrocyte parameters Longitudinal cohort study Generalized estimated equation GEE Electronic supplementary materialThe online version of this article doi:10.1186-1471-2458-13-989 contains supplementary material, which is available to authorized users.

Shuo Wu, Haiyan Lin contributed equally to this work.

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Author: Shuo Wu - Haiyan Lin - Chengqi Zhang - Qian Zhang - Dongzhi Zhang - Yongyuan Zhang - Wenjia Meng - Zhenxin Zhu - Fang Tan

Source: https://link.springer.com/







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