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CVD-predictive performances of “a body shape index” versus simple anthropometric measures: Tehran lipid and glucose study

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European Journal of Nutrition Aims and scope Submit manuscript

Abstract

Purpose

To examine whether a body shape index (ABSI) calculated by using waist circumference (WC) adjusted for height and weight could improve the predictive performances for cardiovascular disease (CVD) of the Framingham’s general CVD algorithm and to compare its predictive performances with other anthropometric measures.

Methods

We analyzed data on a 10-year population-based follow-up of 8,248 (4,471 women) individuals aged ≥30 years, free of CVD at baseline. CVD risk was estimated for a 1 SD increment in ABSI, body mass index (BMI), waist-to-hip ratio (WHpR) and waist-to-height ratio (WHtR), by incorporating them, one at a time, into multivariate accelerated failure time models.

Results

ABSI was associated with multivariate-adjusted increased risk of incident CVD among both men (1.26, 95 % CI 1.09–1.46) and women (1.17, 1.03–1.32). Among men, for a one-SD increment, ABSI conferred a greater increase in the hazard of CVD [1.26 (1.09–1.46)] than did BMI [1.06 (0.94–1.20)], WC [1.15(1.03–1.28)], WHpR [1.02 (1.01–1.03)] and WHtR [1.16 (1.02–1.31)], and the corresponding figures among women were 1.17 (1.03–1.32), 1.02 (0.90–1.16), 1.11 (0.98–1.27), 1.03 (1.01–1.05) and 1.14 (0.99–1.03), respectively. ABSI as well as other anthropometric measures failed to add to the predictive ability of the Framingham general CVD algorithm either.

Conclusions

Although ABSI could not improve the predictability of the Framingham algorithm, it provides more information than other traditional anthropometric measures in settings where information on traditional CVD risk factors are not available, and it can be used as a practical criterion to predict adiposity-related health risks in clinical assessments.

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Abbreviations

ABSI:

A body shape index

BMI:

Body mass index

CHD:

Coronary heart disease

CVD:

Cardiovascular disease

CT:

Computed tomography

ECG:

Electrocardiography

HDL-C:

High-density lipoprotein cholesterol

MI:

Myocardial infarction

MRI:

Magnetic resonance imaging

TGs:

Triglycerides

TLGS:

Tehran lipid and glucose study

VIF:

Variance inflation factor

WC:

Waist circumference

WHpR:

Waist-to-hip ratio

WHtR:

Waist-to-height ratio

FPG:

Fasting plasma glucose

2 h-PCPG:

2-h post-challenge plasma glucose

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Acknowledgments

This study was supported by grant No. 121 from the National Research Council of the Islamic Republic of Iran. We thank Michael J. Pencina, PhD, Department of Mathematics and Statistics, Boston University, Boston, MA, for statistical help and the constructive comments. We express our appreciation to the participants of district 13 of Tehran for their enthusiastic support in this study.

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None to declare.

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Authors and Affiliations

  1. Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences (RIES), Shahid Beheshti University of Medical Sciences, No 24, Parvaneh AVE, Velenjak St, Chamran HWY, P.O. Box 19395-4763, Tehran, Iran

    Mohammadreza Bozorgmanesh, Mahsa Sardarinia, Farhad Hajsheikholeslami & Farzad Hadaegh

  2. Endocrine Research Center, Research Institute for Endocrine Sciences (RIES), Shahid Beheshti University of Medical Sciences, Tehran, Iran

    Fereidoun Azizi

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  1. Mohammadreza Bozorgmanesh
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  2. Mahsa Sardarinia
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Correspondence to Farzad Hadaegh.

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Bozorgmanesh, M., Sardarinia, M., Hajsheikholeslami, F. et al. CVD-predictive performances of “a body shape index” versus simple anthropometric measures: Tehran lipid and glucose study. Eur J Nutr 55, 147–157 (2016). https://doi.org/10.1007/s00394-015-0833-1

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