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Scholars Journal of Applied Medical Sciences | Volume-13 | Issue-04
Lipid Profile Parameters and Their Correlation with Anthropometric Indices among Adult Female Subjects in Port Harcourt and Obio/Akpor Local Government Areas of Rivers State
Ogechi Stephanie Ezeala, O.M Adienbo, F.S Amah-Tariah
Published: April 3, 2025 |
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DOI: https://doi.org/10.36347/sjams.2025.v13i04.003
Pages: 848-853
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Abstract
Introduction: obesity is a well-known risk factor for heart disease which is associated with high rates of dyslipidaemia which is abnormal lipids in the blood. Aim: The aim of this study was to evaluate the correlation of anthropometric indices with lipid profile among women resident in Port Harcourt and Obio/Akpor local government areas of Rivers State. Materials and Methods: We performed a cross-sectional analytical study. A total of 332 participants were selected using the multi-stage sampling method after giving their consent. Anthropometric measurement was done using the standard protocol and the lipid profile parameters was analysed. 5mls of random blood was collected into lithium heparin bottles and spun at 3000 rpm for 5 minutes to obtain plasma. Total cholesterol was measured enzymatically, high density lipoprotein cholesterol was measured using the direct method, triglyceride was estimated using the Gpo-pap method while low density lipoprotein was estimated using the Friedwald equation. Results: There was a significant positive correlation between Total cholesterol TC, triglycerides and low density lipoprotein LDL with anthropometric indices BMI, AC, WC, HC, WHR, W-HT-R, CI, VAI, BAI, AVI, ABSI, and HI. High density lipoprotein cholesterol HDL was positively correlated with anthropometric indices of BMI, AC, WC, HC, WHR, W-HT-R, CI, BAI, AVI, ABSI and HI but was negatively correlated with VAI. Conclusion: High levels of total cholesterol TC, triglycerides, TG and low density lipoprotein cholesterol LDL observed in this participants that are obese and overweight are risk factors for cardiovascular disease. This shows that anthropometric indices are sensitive and better predictor of cardiovascular risks particularly in subjects that are obese. It can be used as an effective screening tool to predict dyslipidaemia and its associated complications.