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Diagnostic value of anthropometric indices for initial stage of atherosclerosis in adult women

  • Motahar Heidari-Beni
  • , Masoud Hajimaghsood
  • , Mehrangiz Ebrahimi-Mamaghani
  • , Mohammad Asghari Jafarabadi
  • , Seyed Mohammad Hosein Mousavi-Jazayeri
  • , Javad Mohtadinia

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Excess body weight is a cardiovascular risk factor. The relationship between anthropometric indices and cardiovascular health is not completely understood. Carotid Intima-Media Thickness (CIMT) is a subclinical marker of atherosclerosis. This study aimed to investigate the best anthropometric obesity indicator for diagnosis of initial stage of atherosclerosis by CIMT. This cross-sectional study included 100 adult women, aged 18-50 years. Anthropometric indices were measured with standard protocol and CIMT was measured by non-invasive ultrasound. Receiver Operating Characteristics (ROC) curve analysis was carried out to determine the optimal cut-off values of anthropometric indices, and the best indices for atherosclerosis diagnosis. On ROC curve analysis the suggested appropriate cut-offs of waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR), body mass index (BMI) and percentage body fat (%BF) were 96 cm, 0.86, 0.64, 31.29 kg/m2) and 30.42%, respectively. The area under the ROC curve of BMI (AUC=0.74, 95%CI=0.62-0.86) and WHtR (AUC=0.74, 95%CI=0.63-0.85) were greater than other anthropometric indices. The AUC for WHR was the lowest among the studied obesity indices AUC=0.68 (95% CI=0.54-0.81). In our study, WHtR and BMI were the best diagnostic parameters of initial stage of atherosclerosis while WHR was the worst based on AUC.

Original languageEnglish
Pages (from-to)220-226
Number of pages7
JournalAsia Pacific Journal of Clinical Nutrition
Volume21
Issue number2
Publication statusPublished - Jun 2012
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • anthropometric indices
  • Atherosclerosis
  • Carotid arteries
  • Cut-off values
  • ROC analysis

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