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Original Article

Predictors for metabolic syndrome in perimenopausal and postmenopausal Thai women

, , , , , , & show all
Pages 58-65 | Received 18 Feb 2010, Accepted 26 Mar 2010, Published online: 11 Feb 2011
 

Abstract

Objective To determine the prevalence and predictors of metabolic syndrome in perimenopausal and postmenopausal Thai women.

Materials and Methods The cross-sectional study was carried out in the Siriraj Menopause Clinic, Faculty of Medicine Siriraj Hospital, Mahidol University, a tertiary-care university hospital, from May 2006 to August 2009. Metabolic syndrome was diagnosed using the International Diabetes Federation (IDF) criteria for an Asian population, the modified National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria with Asian waist circumference, and the NCEP-ATP III with body mass index cut-off value. The outcome measures were the prevalence and predictors of metabolic syndrome in perimenopausal and postmenopausal Thai women.

Results There were 971 women classified into perimenopausal (n == 331), naturally postmenopausal (n == 442) and surgically postmenopausal (n == 198) groups. The overall prevalences (95%% confidence interval, CI) of metabolic syndrome were 16.0%% (15.1–24.3%%), 15.9%% (13.6–18.2%%), and 14.9%% (14.0–19.8%%) by IDF criteria, modified NCEP-ATP III criteria with Asian waist circumference, and with body mass index cut-off value, respectively. Focusing on the NCEP-ATP III criteria with Asian waist circumference, the prevalence was the highest in the surgically postmenopausal group (19.7%%, 95%% CI 15.1–24.3%%) followed by the perimenopausal (12.4%%, 95%% CI 9.4–15.4%%) and naturally postmenopausal (16.9%%, 95%% CI 14.0–19.8%%) groups, but without statistical significance. The prevalence increased with age, body mass index and family history of cardiovascular disease.

Conclusion The overall prevalence of metabolic syndrome in perimenopausal and postmenopausal Thai women is 14.9–16.0%%, depending on diagnostic criteria, and its significant predictors include age, body mass index, and family history of cardiovascular disease.

ACKNOWLEDGEMENT

The authors wish to thank all staff members of the Siriraj Menopause Clinic for their assistance in this survey.

Conflict of interest  The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Source of funding  The study was financially supported by Siriraj Research Development Fund.

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