Anthropometric Measurements in Predicting Haemorrhagic Stroke Among Bangladeshi Population: The MAGPIE Study
Redoy Ranjan,1,2 Dipannita Adhikary,1 Gie Ken-Dror,1 Md Abdullah Yusuf,3 Adneen Moureen,4 Maliha Hakim,5 Pankaj Sharma1,6 1Department of Biological Sciences, Royal Holloway University of London, London, UK; 2Department of Cardiac Surgery, Bangabandhu Sheikh Mujib Medical University, Dhaka, Banglades...
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Dove Medical Press
2024-12-01
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| author | Ranjan R Adhikary D Ken-Dror G Yusuf MA Moureen A Hakim M Sharma P |
| author_facet | Ranjan R Adhikary D Ken-Dror G Yusuf MA Moureen A Hakim M Sharma P |
| author_sort | Ranjan R |
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| description | Redoy Ranjan,1,2 Dipannita Adhikary,1 Gie Ken-Dror,1 Md Abdullah Yusuf,3 Adneen Moureen,4 Maliha Hakim,5 Pankaj Sharma1,6 1Department of Biological Sciences, Royal Holloway University of London, London, UK; 2Department of Cardiac Surgery, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh; 3Department of Microbiology, National Institute of Neurosciences and Hospital, Dhaka, Bangladesh; 4Tuberculosis New Technologies and Diagnostics, USAID’s, Dhaka, Bangladesh; 5Department of Neurology, National Institute of Neurosciences and Hospital, Dhaka, Bangladesh; 6Department of Clinical Neuroscience, Imperial College Healthcare NHS Trust, London, UKCorrespondence: Pankaj Sharma, Department of Biological Sciences, Royal Holloway University of London, London, UK, Email pankaj.sharma@rhul.ac.ukBackground: 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/m2, 78.8cm, and 84.6cm, respectively, in men and 21.1 kg/m2, 81.5cm, and 88.1cm, respectively, in women haemorrhagic stroke population. Furthermore, an age-adjusted multivariate LR model identified a HC of ≥ 84.6 cm in men (OR 2.8, 95% CI 1.61– 4.97; P < 0.001) and a WC of ≥ 81.5cm in women (OR 1.6, 95% CI 1.01– 2.37; P=0.001) as potential independent predictors of haemorrhagic stroke.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.Keywords: haemorrhagic stroke, body mass index, waist circumference, hip circumference, Bangladesh |
| format | Article |
| id | doaj-art-d2bea5ab0cd64295b2c5395831408ff5 |
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| issn | 1178-2390 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Dove Medical Press |
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| series | Journal of Multidisciplinary Healthcare |
| spelling | doaj-art-d2bea5ab0cd64295b2c5395831408ff52025-08-20T02:37:58ZengDove Medical PressJournal of Multidisciplinary Healthcare1178-23902024-12-01Volume 175941594798378Anthropometric Measurements in Predicting Haemorrhagic Stroke Among Bangladeshi Population: The MAGPIE StudyRanjan RAdhikary DKen-Dror GYusuf MAMoureen AHakim MSharma PRedoy Ranjan,1,2 Dipannita Adhikary,1 Gie Ken-Dror,1 Md Abdullah Yusuf,3 Adneen Moureen,4 Maliha Hakim,5 Pankaj Sharma1,6 1Department of Biological Sciences, Royal Holloway University of London, London, UK; 2Department of Cardiac Surgery, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh; 3Department of Microbiology, National Institute of Neurosciences and Hospital, Dhaka, Bangladesh; 4Tuberculosis New Technologies and Diagnostics, USAID’s, Dhaka, Bangladesh; 5Department of Neurology, National Institute of Neurosciences and Hospital, Dhaka, Bangladesh; 6Department of Clinical Neuroscience, Imperial College Healthcare NHS Trust, London, UKCorrespondence: Pankaj Sharma, Department of Biological Sciences, Royal Holloway University of London, London, UK, Email pankaj.sharma@rhul.ac.ukBackground: 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/m2, 78.8cm, and 84.6cm, respectively, in men and 21.1 kg/m2, 81.5cm, and 88.1cm, respectively, in women haemorrhagic stroke population. Furthermore, an age-adjusted multivariate LR model identified a HC of ≥ 84.6 cm in men (OR 2.8, 95% CI 1.61– 4.97; P < 0.001) and a WC of ≥ 81.5cm in women (OR 1.6, 95% CI 1.01– 2.37; P=0.001) as potential independent predictors of haemorrhagic stroke.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.Keywords: haemorrhagic stroke, body mass index, waist circumference, hip circumference, Bangladeshhttps://www.dovepress.com/anthropometric-measurements-in-predicting-haemorrhagic-stroke-among-ba-peer-reviewed-fulltext-article-JMDHhaemorrhagic strokebody mass indexwaist circumferenceand hip circumferencebangladesh |
| spellingShingle | Ranjan R Adhikary D Ken-Dror G Yusuf MA Moureen A Hakim M Sharma P Anthropometric Measurements in Predicting Haemorrhagic Stroke Among Bangladeshi Population: The MAGPIE Study Journal of Multidisciplinary Healthcare haemorrhagic stroke body mass index waist circumference and hip circumference bangladesh |
| title | Anthropometric Measurements in Predicting Haemorrhagic Stroke Among Bangladeshi Population: The MAGPIE Study |
| title_full | Anthropometric Measurements in Predicting Haemorrhagic Stroke Among Bangladeshi Population: The MAGPIE Study |
| title_fullStr | Anthropometric Measurements in Predicting Haemorrhagic Stroke Among Bangladeshi Population: The MAGPIE Study |
| title_full_unstemmed | Anthropometric Measurements in Predicting Haemorrhagic Stroke Among Bangladeshi Population: The MAGPIE Study |
| title_short | Anthropometric Measurements in Predicting Haemorrhagic Stroke Among Bangladeshi Population: The MAGPIE Study |
| title_sort | anthropometric measurements in predicting haemorrhagic stroke among bangladeshi population the magpie study |
| topic | haemorrhagic stroke body mass index waist circumference and hip circumference bangladesh |
| url | https://www.dovepress.com/anthropometric-measurements-in-predicting-haemorrhagic-stroke-among-ba-peer-reviewed-fulltext-article-JMDH |
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