Association of obesity anthropometric indices with hypertension, diabetes mellitus and hypertriglyceridemia in apparently healthy adult Nigerian population.
| Autor: | Sirisena A; Department of Radiology, Jos University Teaching Hospital, Jos 930001, Nigeria., Okeahialam B; Department of Medicine, Jos University Teaching Hospital, Jos 930001, Nigeria. basokeam@yahoo.com. |
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| Jazyk: | angličtina |
| Zdroj: | World journal of cardiology [World J Cardiol] 2022 Jun 26; Vol. 14 (6), pp. 363-371. |
| DOI: | 10.4330/wjc.v14.i6.363 |
| Abstrakt: | Background: Hypertension, hyperglycemia and hypertriglyceridemia are chronic conditions associated with cardiometabolic diseases. Certain anthropometric indices are known to predict them. Aim: To investigate the association of anthropometric indices with these chronic diseases and which anthropometric index predicts them best. Methods: In this study, 221 apparently healthy individuals who never received treatments for cardiovascular disease (CVD), diabetes or other chronic diseases participated. The age of the participants ranged from 20-75 years with mean age of 36.9 ± 11.4 years. The risk factors of these diseases namely systolic blood pressures (SBP) and diastolic blood pressures (DBP), fasting blood glucose (FBG) and triglycerides (TG) were determined for all the participants using standard clinical procedures. The obesity anthropometric indices, waist circumference, waist-to-height ratio, waist-to-hip ratio and body mass index as well as abdominal height (AH) and body surface index were determined. The association between each of them with the risk factors were determined by the Pearson correlation method. Results: From the results, it was found that AH showed superiority over the rest for SBP ( r = 0.301, P < 0.01), DBP ( r = 0.370, P < 0.01), FBG ( r = 0.297, P < 0.01) and TG ( r = 0.380, P < 0.01). Using the receiver operating characteristic curves, cut-off values of AH for SBP, DBP, FBG and TG were determined to be 24.75 cm, 24.75 cm, 25.25 cm and 24.75 cm respectively. Conclusion: The indices of anthropometry used in this study correlated significantly with the studied CVD risk factors, with AH emerging as the most predictive. Competing Interests: Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article. (©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.) |
| Databáze: | MEDLINE |
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