Korean Diabetes J.
2008 Jun;32(3):243-251. 10.4093/kdj.2008.32.3.243.
Relationship between Menopausal Status and Metabolic Syndrome Components in Korean Women
- Affiliations
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- 1Health Promotion Center, Samsung Seoul Hospital, Sungkyunkwan University School of Medicine, Korea.
- 2Department of Internal Medicine, Yonsei University Wonju College of Medicine, Korea.
- 3Institute of Lifelong Health, Yonsei University Wonju College of Medicine, Korea.
- KMID: 2298095
- DOI: http://doi.org/10.4093/kdj.2008.32.3.243
Abstract
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BACKGROUND: Postmenopausal status is associated with a 60% increased risk for metabolic syndrome. It is thought to be associated with decreased estrogens and increased abdominal obesity in postmenopausal women with metabolic syndrome. The purpose of this study was to investigate the association between metabolic syndrome components and menopausal status.
METHODS
A total of 1,926 women were studied and divided into three groups according to their menstrual stage (premenopausal, perimenopausal or postmenopausal). The presence of metabolic syndrome was assessed using the National Cholesterol Education Program's (NCEP) Adult Treatment Panel III criteria.
RESULTS
The prevalence of metabolic syndrome was 7.1% in premenopause, 9.8% in perimenopause, and 24.2% in postmenopause. The strong correlation was noted between the metabolic syndrome score and waist circumference in postmenopause (r = 0.56, P < 0.01) and perimenopause (r = 0.60, P < 0.01). Along the menopausal transition, the risk of metabolic syndrome increased with high triglyceride after the age-adjusted (odds ratio (OR) 1.517 [95% confidence interval (CI) 1.014~2.269] in perimenopausal women and OR 1.573 [95% CI 1.025~2.414] in postmenopausal women). In addition, the prevalence of metabolic syndromeincreased in accordance with elevated alanine aminotransferase (ALT) and gamma-glutamyl transpeptidase (GGT) levels.
CONCLUSION
Triglyceride and waist circumference were important metabolic syndrome components, though ALT and GGT may also be related for predicting metabolic syndrome during the transition to menopause.
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