Study on the risk factors of metabolic syndrome in Jiangsu province, China / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 536-539, 2007.
Article
in Chinese
| WPRIM
| ID: wpr-294290
ABSTRACT
<p><b>OBJECTIVE</b>To explore the associated risk factors of metabolic syndrome in Jiangsu province, China.</p><p><b>METHODS</b>Using identical protocol and questionnaire, an epidemiological study was carried out in a population of 5888 adults in 12 counties in Jiangsu. Anthropometric test and blood sampling were conducted at the time of interview. IDF (2005) was used as the diagnostic criteria of metabolic syndrome . The prevalence and age-standardized prevalence of metabolic syndrome were calculated. Univariate and multivariate logistic regression model were used to identify associated risk factors.</p><p><b>RESULTS</b>The prevalence and age-standardized prevalence of metabolic syndrome in Jiangsu were 19.07% (11.10% in males and 25.72% in females) and 17.48% (11.49% in males, 22.86 % in females), respectively. Among the potential risk factors of metabolic syndrome as gender, age, education level, occupation, income, physical activity, smoking, alcohol drinking, disease family history, data from univariate and multivariate logistic regression analyses suggested that gender (OR = 1.91), age (OR = 1.15), physical inactivity (OR = 1.94), with hypertension family history (OR = 1.99) and with obesity family history (OR = 6.24) could significantly increase the risk of disease development.</p><p><b>CONCLUSION</b>Metabolic syndrome has become a significant public health problem among the adults in Jiangsu province.</p>
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Physiology
/
Blood
/
Alcohol Drinking
/
Smoking
/
Logistic Models
/
China
/
Sex Factors
/
Epidemiology
/
Surveys and Questionnaires
/
Risk Factors
Type of study:
Etiology study
/
Practice guideline
/
Prognostic study
/
Risk factors
Limits:
Adult
/
Aged
/
Female
/
Humans
/
Male
Country/Region as subject:
Asia
Language:
Chinese
Journal:
Chinese Journal of Epidemiology
Year:
2007
Type:
Article
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