ArticleWorld journal of cardiology2022
Association of obesity anthropometric indices with hypertension, diabetes mellitus and hypertriglyceridemia in apparently healthy adult Nigerian population.
Article in World journal of cardiology, 2022. 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, 4 citations in OpenAlex.
- Joint effects of triglyceride glucose index and its obesity-related derivatives with estimated glucose disposal rate on cardiometabolic multimorbidity in middle-aged and older Chinese adults: a nationwide cohort study.Cardiovascular diabetology · 2025Article
- Gender-Specific Moderating Role of Physical Fitness and Cardiovascular Risk Factors in the Relationship Between BMI and C-Reactive Protein: Cross-Sectional Study.JMIR public health and surveillance · 2025Article
- Anti-Hyperlipidemic Effect of Fucoidan Fractions Prepared from Iceland Brown AlgaeMarine drugs · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
backgroundHypertension, hyperglycemia and hypertriglyceridemia are chronic conditions associated with cardiometabolic diseases. Certain anthropometric indices are known to predict them.
aimTo investigate the association of anthropometric indices with these chronic diseases and which anthropometric index predicts them best.
methodsIn 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.
resultsFrom the results, it was found that AH showed superiority over the rest for SBP (
conclusionThe indices of anthropometry used in this study correlated significantly with the studied CVD risk factors, with AH emerging as the most predictive.
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