DOI: 10.11958/20241665
Distribution characteristics and risk factor analysis of metabolic syndrome in children in Lubei district of Tangshan City from 2020 to 2024
GU Xiaona
CHEN Xinchun
KOU Yongmei
JI Guoqiang
Abstract:Objective To investigate the clinical distribution and risk factors of metabolic syndrome(MS)in children from Lubei district of Tangshan City from 2020 to 2024.Methods A total of 964 children were identified by multi-segment stratified cluster sampling.A questionnaire survey was conducted on all subjects,and the recovery rate of the questionnaire was 98.0%,with 945 samples recovered.The detection rates of MS in different populations were compared,and risk factors of MS in children were analysed by Logistic regression analysis.Results In 945 children,49(5.19%)had MS,and there was no significant difference in detection rate between different genders of children(P>0.05).There were no significant differences in blood pressure[systolic blood pressure(SBP)and diastolic blood pressure(DBP)],blood lipid[triglycerides(TG)and high density lipoprotein cholesterol(HDL-C)]between children ages 7 to 10 years old and 11 to 14 years old(P>0.05).The values of total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C)and waist circumference(WC)were higher in boys aged 11-14 than those in girls(P<0.05).The proportion of body weight and obesity,the proportion of physical activity time<10 h/week,the proportion of family history of hypertension and WC level were higher in the MS group than those in the non-MS group(P<0.05).Multivariate Logistic regression model showed that weight obesity,physical activity time<10 h/week,family history of hypertension and high WC value were independent risk factors for MS in children(P<0.05).Conclusion Obesity,family history of hypertension,time spent in physical activity and higher WC are strongly associated with the development of MS in children,and clinical attention should be paid to them.
Keywords:metabolic syndromechildrisk factorsLogistic models
Publication Date:2025-03-15
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:5( 307-311 )
