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Relationship between high-sensitivity C-reactive protein and obesity/metabolic syndrome in children / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 621-625, 2014.
Article in Zh | WPRIM | ID: wpr-737382
Responsible library: WPRO
ABSTRACT
Objective To explore the relationship between high-sensitivity C-reactive protein (hsCRP)and obesity/metabolic syndrome(MetS)related factors in children. Methods 403 children aged 10-14 and born in Beijing were involved in this study. Height,weight,waist circumference,fat mass percentage(Fat%),blood pressure(BP),hsCRP,triglyceride(TG),total cholesterol(TC), fasting plasma glucose(FPG),high and low density lipoprotein cholesterol(HDL-C,LDL-C)were observed among these children. hsCRP was transformed with base 10 logarithm(lgCRP). MetS was defined according to the International Diabetes Federation 2007 definition. Associations between MetS related components and hsCRP were tested using partial correlation analysis,analysis of covariance and linear regression models. Results 1) lgCRP was positively correlated with BMI,waist circumference,Fat%,BP,FPG,LDL-C and TC while negatively correlated with HDL-C. With BMI under control,the relationships disappeared,but LDL-C(r=0.102). 2)The distributions of lgCRP showed obvious differences in all the metabolic indices,in most groups,respectively. With BMI under control,close relationships between lgCRP and high blood pressure/high TG disappeared and the relationship with MetS weakened. 3) Through linear regression models, factors as waist circumference,BMI,Fat% were the strongest factors related to hsCRP,followed by systolic BP, HDL-C,diastolic BP,TG and LDL-C. With BMI under control,the relationships disappeared,but LDL-C (β=0.045). Conclusion hsCRP was correlated with child obesity,lipid metabolism and MetS. Waist circumference was the strongest factors related with hsCRP. Obesity was the strongest and the independent influencing factor of hsCRP.
Key words
Full text: 1 Index: WPRIM Type of study: Diagnostic_studies / Prognostic_studies Language: Zh Journal: Chinese Journal of Epidemiology Year: 2014 Type: Article
Full text: 1 Index: WPRIM Type of study: Diagnostic_studies / Prognostic_studies Language: Zh Journal: Chinese Journal of Epidemiology Year: 2014 Type: Article