Pediatric metabolic syndrome and cell blood counts: bivariate Bayesian modeling.

摘要: Cell blood counts are components of hematological parameters and indicators pro-inflammatory states. They proposed to be associated with metabolic syndrome (MetS). This study aimed assess the relationship white cell (WBC) red (RBC) MetS in pediatric age group. The sample consisted 300 children (152 boys) aged 6-12 years. Hierarchical Bayesian analysis bivariate Poisson regression model was used estimate effect various according counts. We found that RBC WBC were correlated fasting glucose, waist-to-height ratio, serum triglycerides pressure levels adjusted for age, body mass index, gender, total cholesterol, low-density lipoprotein cholesterol hip circumference. high-density based on 95% high posterior density regions model. Our findings may serve as confirmatory evidence beginning inflammatory process related cardio-metabolic factors from early life.