Epidemiological Investigation of Metabolic Syndrome and Analysis of Relevant Factors in North-Eastern China

This epidemiological study was conducted to investigate the prevalence of metabolic syndrome and associated risk factors in Chinese subjects from Dehui in northeastern China. Using a random sampling method, a questionnaire was completed by 3785 permanent residents aged 18-72 years and relevant clini...

Full description

Saved in:
Bibliographic Details
Published in:Journal of international medical research 2010-01, Vol.38 (1), p.150-159
Main Authors: Wang, W, Kong, J, Sun, J, Wang, CY, Chen, HY, Jiang, YF, Feng, XW, He, SM, Niu, JQ
Format: Article
Language:English
Subjects:
Adolescent
Adult
Age Factors
Aged
Body Mass Index
China - epidemiology
Female
Humans
Male
Metabolic Syndrome - epidemiology
Middle Aged
Overweight - epidemiology
Risk Factors
Sex Factors
Surveys and Questionnaires
Young Adult
Citations: Items that this one cites
Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This epidemiological study was conducted to investigate the prevalence of metabolic syndrome and associated risk factors in Chinese subjects from Dehui in northeastern China. Using a random sampling method, a questionnaire was completed by 3785 permanent residents aged 18-72 years and relevant clinical data were collected from each subject. Binary multivariate logistic regression analysis was used to identify factors that were significantly associated with metabolic syndrome. Based on the International Diabetes Federation definition, the prevalence of metabolic syndrome was 22.4%, which is higher than that of the general Chinese population. Metabolic syndrome occurred more frequently in females and the prevalence gradually increased with age. Living in an urban setting and being female, > 50 years old, overweight, having total cholesterol ≥ 5.18 mmol/l, low-density lipoprotein cholesterol ≥ 3.1 mmol/l, and a fatty liver were significant risk factors associated with metabolic syndrome.
ISSN:0300-0605
1473-2300
DOI:10.1177/147323001003800117