Repository of Research and Investigative Information

Repository of Research and Investigative Information

Dezful University of Medical Sciences

Association of anthropometric indices with cardiovascular disease risk factors among adults: a study in Iran

(2020) Association of anthropometric indices with cardiovascular disease risk factors among adults: a study in Iran. European journal of cardiovascular nursing : journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology. ISSN 1873-1953 (Electronic) 1474-5151 (Linking)

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Official URL: https://www.ncbi.nlm.nih.gov/pubmed/33620478

Abstract

AIMS: Cardiovascular diseases (CVDs) are the leading cause of death in the world. Many modifiable risk factors have been reported to synergistically act in the development of CVDs. We aimed to compare the predictive power of anthropometric indices, as well as to provide the best cut-off point for these indicators in a large population of Iranian people for the prediction of CVDs and CVD risk factors. METHODS AND RESULTS: All the data used in the present study were obtained from Khuzestan comprehensive health study (KCHS). Anthropometric indices, including BMI (body mass index), WC (waist circumference), HC (hip circumference), WHR (waist-to-hip ratio), WHtR (waist-to-height ratio), ABSI (a body shape index), as well as CVD risk factors dyslipidaemia, abnormal blood pressure (BP), and hyperglycaemia were recorded among 30 429 participants. WHtR had the highest adjusted odds ratios amongst anthropometric indices for all the risk factors and CVDs. WC had the highest predictive power for dyslipidaemia and hyperglycaemia area under the curve (AUC) = 0.622, 0.563; specificity 61%, 59%; sensitivity 69%, 60%; cut-off point 87.95, 92.95 cm, respectively, while WHtR had the highest discriminatory power for abnormal BP (AUC = 0.585; specificity 60%; sensitivity 65%; cut-off point 0.575) and WHR tended to be the best predictor of CVDs (AUC = 0.527; specificity 58%; sensitivity 64%; cut-off point 0.915). CONCLUSION: In this study, we depicted a picture of the Iranian population in terms of anthropometric measurement and its association with CVD risk factors and CVDs. Different anthropometric indices showed different predictive power for CVD risk factors in the Iranian population.

Item Type: Article
Keywords: Anthropometric indices Cardiovascular disease risk factors Cardiovascular diseases Obesity
Subjects: WG Cardiovascular System > WG 200-460 Heart. Heart Diseases
WG Cardiovascular System > WG 500-700 Blood Vessels. Vascular Diseases
Divisions: Education Vice-Chancellor Department > Faculty of Medicine > Departments of Clinical Sciences > Department of Cardiology
Journal or Publication Title: European journal of cardiovascular nursing : journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology
Journal Index: Pubmed
Identification Number: https://doi.org/10.1093/eurjcn/zvaa007
ISSN: 1873-1953 (Electronic) 1474-5151 (Linking)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.dums.ac.ir/id/eprint/754

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