↓ Skip to main content

The prevalence of metabolic syndrome and its predominant components among pre-and postmenopausal Ghanaian women

Overview of attention for article published in BMC Research Notes, November 2013
Altmetric Badge

Readers on

mendeley
134 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The prevalence of metabolic syndrome and its predominant components among pre-and postmenopausal Ghanaian women
Published in
BMC Research Notes, November 2013
DOI 10.1186/1756-0500-6-446
Pubmed ID
Authors

Fareed Kow Nanse Arthur, Michael Adu-Frimpong, James Osei-Yeboah, Faustina Obu Mensah, Lawrence Owusu

Abstract

Metabolic Syndrome (MetS) is a clump of risk factors for development of type 2 diabetes mellitus and cardiovascular diseases. Menopause and age are thought to predispose women to the development of metabolic syndrome. This study aimed to estimate the prevalence of MetS and identify its predominant components among pre-and postmenopausal women in the Kumasi Metropolis, Ghana.Two hundred and fifty (250) Ghanaian women were randomly selected for the study. They were evaluated for the prevalence of metabolic syndrome using the World Health Organization (WHO), National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III), International Diabetes Federation (IDF) and Harmonization (H_MS) criteria.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 133 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 16%
Researcher 15 11%
Student > Master 15 11%
Student > Postgraduate 13 10%
Student > Ph. D. Student 11 8%
Other 22 16%
Unknown 37 28%
Readers by discipline Count As %
Medicine and Dentistry 30 22%
Nursing and Health Professions 21 16%
Agricultural and Biological Sciences 9 7%
Immunology and Microbiology 6 4%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 19 14%
Unknown 44 33%