Prevalence and predictors of metabolic syndrome among Congolese pre- and postmenopausal women

Abstract

Objectives This study aimed to determine the prevalence and predictors of metabolic syndrome (MetS) among Congolese pre- and postmenopausal women.

Methods In total, 200 women (100 premenopausal and 100 postmenopausal) were interviewed and underwent clinical and biological investigations searching for lipid and non-lipid cardiovascular risk factors. National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATPIII) criteria were used to define MetS. Multivariate logistic regression analysis was used to evaluate predictors of MetS.

Results There were significant differences between the two groups in terms of age, plasma cholesterol, high density lipoprotein cholesterol and triglyceride levels. MetS was present in 20% and 10% of postmenopausal and premenopausal women (p = 0.07), respectively. The MetS components hypertension, elevated plasma glucose and triglycerides were more frequently observed in post- vs. premenopausal women with MetS. Menopause (adjusted odds ratio (aOR) 2.49; 95% confidence interval (CI) 1.05–5.95), overweight (aOR 6.35; 95% CI 1.66–24.23) and obesity (aOR 14.29; 95% CI: 3.84–53.06) emerged as the main independent predictors of MetS.

Conclusion This study showed that MetS is common among Congolese postmenopausal women; menopause and weight gain emerged as its main predictors. This suggests that an integrated therapeutic approach combining hormone replacement therapy and lifestyle change in postmenopausal women should be considered.

Key words::

• METABOLIC SYNDROME
• PREDICTORS
• BLACK WOMEN
• MENOPAUSE

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

Source of funding University of Kinshasa.