ArticleJournal of multidisciplinary healthcare2024
Anthropometric Measurements in Predicting Haemorrhagic Stroke Among Bangladeshi Population: The MAGPIE Study.
Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Epidemiological and Clinical Profile of Acute Stroke in Young Adults from a Tertiary Stroke Center in Abu Dhabi-A Retrospective Study.Journal of clinical medicine · 2026Article
- Article
- Association of Paternal Diabetes With Hemorrhagic Stroke in Bangladeshi Women: The MAGPIE Study.Health science reports · 2025Article
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7 authors.
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Abstract
Background: Anthropometric measurements used to predict cardiovascular disease vary worldwide but are mostly derived from those of Caucasian ancestry. We sought to undertake such measurements in the little studied Bangladeshi population. Methods: The MAGPIE (Multidimensional Approach of Genotype and Phenotype in Stroke Etiology) study is a Bangladeshi stroke case-control study that recruited nationwide between January 2022 and June 2024. The univariate analysis was utilised to curtail the risk of independent variables, and a receiver operating characteristic (ROC) curve was employed to identify the cut-off values of Body Mass Index (BMI), Waist Circumference (WC), and Hip Circumference (HC). Furthermore, a multivariate logistic regression (LR) model demonstrated the risk of independent predictors of haemorrhagic stroke (HS) among sexes. Results: Of a total of 1491 age- and sex-matched study population, 918 were haemorrhagic stroke (61.5%) with female predominance (n=489; 53.3%) and significantly older than men (P=0.003). The BMI (22.9 ±3.0 vs 21.3 ±3.0; P<0.001), WC (84.0 ±7.3 vs 80.8 ±7.3; P<0.001) and HC (90.6 ±7.1 vs 85.5 ±7.7; P<0.001) was significantly higher among women compared to men. A ROC curve demonstrated that the cut-off values of BMI, WC, and HC are 20.6kg/m Conclusion: Bangladeshi men with a hip circumference of ≥84.6cm have about threefold, and women with a waist circumference of ≥81.1cm have about twofold heightened risk of haemorrhagic stroke.
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