Metabolic syndrome among pre- and post-menopausal rural women in Bangladesh: result from a population-based study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Subrina Jesmin, AM Shahidul Islam, Shamima Akter, Md Majedul Islam, Sayeeda Nusrat Sultana, Naoto Yamaguchi, Osamu Okazaki, Masao Moroi, Michiaki Hiroe, Sosuke Kimura, Tetsu Watanabe, Kawano Saturo, Taro Mizutani

ABSTRACT

BACKGROUND: Prevalence of non-communicable diseases are a challenging problems among menopausal women specially in a least developed country like Bangladesh, where majority of women suffering from at least one chronic diseases after menopausal age. So, the main objective of this study was to determine the prevalence of metabolic syndrome and related risk factors in Bangladeshi pre- and post-menopausal women living in the rural setting. METHODS: This study is based on a community based cross-sectional survey among 1802 rural women aged ≥15 years. Metabolic syndrome was defined according to the criteria of NCEP-ATP III. Logistic regression was used to estimate the association between menopausal status and metabolic syndrome and its components. RESULTS: Metabolic syndrome was presented in 25.6% respondents and it was more prevalent among post-menopausal (39.3%) as compared to pre-menopausal (16.8%) women. Logistic regression analysis reveals that prevalence of metabolic syndrome was 1.78 times higher in post-menopausal women than pre-menopausal women (P = 0.001). Prevalence of high blood pressure, elevated fasting blood glucose, and high triglyceride were significantly higher in post-menopausal women than pre-menopausal women (P < 0.05). However, prevalence of low high-density lipoprotein cholesterol was significantly lower in post-menopausal women than pre-menopausal women (P < 0.001). CONCLUSIONS: Metabolic syndrome seems to be a major health problem among post-menopausal women in many developing countries like Bangladesh and proper policy emphasis should be given on its prevention and control. More... »

PAGES

157

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1756-0500-6-157

DOI

http://dx.doi.org/10.1186/1756-0500-6-157

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040940311

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23597398


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-6-157'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-6-157'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-6-157'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-6-157'


 

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299 National Center for Global Health and Medicine (NCGM), 1-21-1 Toyama, 162-8655, Shinjuku-ku, Tokyo, Japan
300 rdf:type schema:Organization
 




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