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Prevalence and predictors of metabolic syndrome among Congolese pre- and postmenopausal women.
Climacteric. 2014 Aug; 17(4):442-8.C

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.

Authors+Show Affiliations

* Department of Gynecology and Obstetrics, Kinshasa University Hospital , Kinshasa , Democratic Republic of the Congo.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

24156784

Citation

Muchanga Sifa, M J., et al. "Prevalence and Predictors of Metabolic Syndrome Among Congolese Pre- and Postmenopausal Women." Climacteric : the Journal of the International Menopause Society, vol. 17, no. 4, 2014, pp. 442-8.
Muchanga Sifa MJ, Lepira FB, Longo AL, et al. Prevalence and predictors of metabolic syndrome among Congolese pre- and postmenopausal women. Climacteric. 2014;17(4):442-8.
Muchanga Sifa, M. J., Lepira, F. B., Longo, A. L., Sumaili, E. K., Makulo, J. R., Mbelambela, E. P., Tozin, R., Ngatu, N. R., & Suganuma, N. (2014). Prevalence and predictors of metabolic syndrome among Congolese pre- and postmenopausal women. Climacteric : the Journal of the International Menopause Society, 17(4), 442-8. https://doi.org/10.3109/13697137.2013.856403
Muchanga Sifa MJ, et al. Prevalence and Predictors of Metabolic Syndrome Among Congolese Pre- and Postmenopausal Women. Climacteric. 2014;17(4):442-8. PubMed PMID: 24156784.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Prevalence and predictors of metabolic syndrome among Congolese pre- and postmenopausal women. AU - Muchanga Sifa,M J, AU - Lepira,F B, AU - Longo,A L, AU - Sumaili,E K, AU - Makulo,J R, AU - Mbelambela,E P, AU - Tozin,R, AU - Ngatu,N R, AU - Suganuma,N, Y1 - 2013/12/27/ PY - 2013/10/26/entrez PY - 2013/10/26/pubmed PY - 2015/4/11/medline KW - BLACK WOMEN KW - MENOPAUSE KW - METABOLIC SYNDROME KW - PREDICTORS SP - 442 EP - 8 JF - Climacteric : the journal of the International Menopause Society JO - Climacteric VL - 17 IS - 4 N2 - 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. SN - 1473-0804 UR - https://www.unboundmedicine.com/medline/citation/24156784/Prevalence_and_predictors_of_metabolic_syndrome_among_Congolese_pre__and_postmenopausal_women_ L2 - https://www.tandfonline.com/doi/full/10.3109/13697137.2013.856403 DB - PRIME DP - Unbound Medicine ER -