ArticleCardiovascular journal of Africa
Comparison of risk variables associated with the metabolic syndrome in pre- and postmenopausal Bengalee women.
Article in Cardiovascular journal of Africa. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- A review of menopause nomenclature.Reproductive health · 2022Review
- Synergistic effects of ACE (I/D) and Apo E (Hha I) gene polymorphisms on obesity, fat mass, and blood glucose level among the adult Asian Indians: A population-based study from Calcutta, India.Indian journal of endocrinology and metabolism · 2013Article
- Menopause versus aging: The predictor of obesity and metabolic aberrations among menopausal women of Karnataka, South India.Journal of mid-life health · 2012Article
- Factor analysis of risk variables associated with metabolic syndrome in adult Asian Indians.Journal of cardiovascular disease research · 2010Article
- The metabolic syndrome: a definition dilemma.Cardiovascular journal of AfricaArticle
- Evaluation of Cardiovascular Risk in Climacteric Women: A Cross-Sectional Study.Journal of mid-life healthArticle
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Authors and funding
1 author at 1 institution in 1 country.
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Abstract
backgroundClustering of risk variables associated with the metabolic syndrome (MS) begins before the onset of menopause. However, studies of the factors underlying this clustering have focused on only postmenopausal women.
aimThe present community-based, cross-sectional investigation was aimed at identifying the principal components of risk variables associated with the metabolic syndrome in pre- and postmenopausal Bengalee women.
methodsA total of 200 (100 premenopausal women; mean age = 40.2 +/- 6.5 years and 100 postmenopausal women; mean age = 55.4 +/- 5.2 years) healthy adult (30 years and older) Bengalee women took part in the study. Obesity measures, metabolic profiles and blood pressures were taken. Principal components factor analysis (PCFA) was used to identify the principal components of the MS.
resultsThere were significant differences between the two groups for obesity measures, metabolic profiles and blood pressure, even after adjusting for age. PCFA revealed three uncorrelated factors with a 67.1% explanation in the premenopausal women. Four factors, with overlapping between the first three factors, and a 73% explanation were evident for the postmenopausal women.
conclusionSince more than one factor was identified, more than one physiological mechanism could have accounted for clustering of the risk variables associated with the MS and this would warrant early intervention, well before the menopause.
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Identifiers
18776958PMC3971768W1535855600What OpenQuestion holds
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