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Prognostic significance of the complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study.

Mohammadreza B, Farzad H, Davoud K, Fereidoun Prof AF - Cardiovasc Diabetol (2012)

Bottom Line: VAI was associated with multivariate-adjusted increased risk of incident CVD among women.However, the magnitude of risk conferred by VAI was not significantly higher than those conferred by BMI, WHpR, or WHtR.Among men, after adjustment for established CVD risk factors, VAI was no longer associated with increased risk of CVD.

View Article: PubMed Central - HTML - PubMed

Affiliation: Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences (RIES), Shahid Beheshti University of Medical Sciences, Tehran, Iran.

ABSTRACT

Background: Visceral adiposity index (VAI) has recently been suggested to be used as a surrogate of visceral adiposity. We examined if VAI could improve predictive performances for CVD of the Framingham's general CVD algorithm (a multivariate model incorporating established CVD risk factors). We compared the predictive abilities of the VAI with those of simple anthropometric measures i.e. BMI, waist-to-height ratio (WHtR) or waist-to-hip ratio (WHpR).

Design and methods: In a nine-year population-based follow-up, 6,407 (2,778 men) participants, free of CVD at baseline, aged≥30 years were eligible for the current analysis. The risk of CVD was estimated by incorporating VAI, BMI, WHpR, and WHtR, one at a time, into multivariate accelerated failure time models.

Results: We documented 534 CVD events with the annual incidence rate (95%CIs) being 7.3 (6.4-8.3) among women and 13.0 (11.7-14.6) among men. Risk of future CVD increased with increasing levels of VAI among both men and women. VAI was associated with multivariate-adjusted increased risk of incident CVD among women. However, the magnitude of risk conferred by VAI was not significantly higher than those conferred by BMI, WHpR, or WHtR. Among men, after adjustment for established CVD risk factors, VAI was no longer associated with increased risk of CVD. VAI failed to add to the predictive ability of the Framingham general CVD algorithm.

Conclusions: Using VAI instead of simple anthropometric measures may lead to loss of much information needed for predicting incident CVD.

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Related in: MedlinePlus

Age-adjusted survival curves across quintiles of the visceral adiposity index: men.
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Figure 1: Age-adjusted survival curves across quintiles of the visceral adiposity index: men.

Mentions: Participants' characteristics are shown according to baseline VAI quintiles in Tables 1 and 2. In general, CVD risk factors levels at baseline increased in stepwise fashion across VAI quintiles; except for smoking. The annual incidence rate of CVD events showed an increasing trend across quintiles of VAI among women (P < 0.001). Age-adjusted survival functions for quintiles of VAI have been compared in Figures 1 and 2. Age-adjusted CVD-free survival probability decreased significantly across VAI quintiles among both men and women (P values < 0.001).


Prognostic significance of the complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study.

Mohammadreza B, Farzad H, Davoud K, Fereidoun Prof AF - Cardiovasc Diabetol (2012)

Age-adjusted survival curves across quintiles of the visceral adiposity index: men.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376032&req=5

Figure 1: Age-adjusted survival curves across quintiles of the visceral adiposity index: men.
Mentions: Participants' characteristics are shown according to baseline VAI quintiles in Tables 1 and 2. In general, CVD risk factors levels at baseline increased in stepwise fashion across VAI quintiles; except for smoking. The annual incidence rate of CVD events showed an increasing trend across quintiles of VAI among women (P < 0.001). Age-adjusted survival functions for quintiles of VAI have been compared in Figures 1 and 2. Age-adjusted CVD-free survival probability decreased significantly across VAI quintiles among both men and women (P values < 0.001).

Bottom Line: VAI was associated with multivariate-adjusted increased risk of incident CVD among women.However, the magnitude of risk conferred by VAI was not significantly higher than those conferred by BMI, WHpR, or WHtR.Among men, after adjustment for established CVD risk factors, VAI was no longer associated with increased risk of CVD.

View Article: PubMed Central - HTML - PubMed

Affiliation: Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences (RIES), Shahid Beheshti University of Medical Sciences, Tehran, Iran.

ABSTRACT

Background: Visceral adiposity index (VAI) has recently been suggested to be used as a surrogate of visceral adiposity. We examined if VAI could improve predictive performances for CVD of the Framingham's general CVD algorithm (a multivariate model incorporating established CVD risk factors). We compared the predictive abilities of the VAI with those of simple anthropometric measures i.e. BMI, waist-to-height ratio (WHtR) or waist-to-hip ratio (WHpR).

Design and methods: In a nine-year population-based follow-up, 6,407 (2,778 men) participants, free of CVD at baseline, aged≥30 years were eligible for the current analysis. The risk of CVD was estimated by incorporating VAI, BMI, WHpR, and WHtR, one at a time, into multivariate accelerated failure time models.

Results: We documented 534 CVD events with the annual incidence rate (95%CIs) being 7.3 (6.4-8.3) among women and 13.0 (11.7-14.6) among men. Risk of future CVD increased with increasing levels of VAI among both men and women. VAI was associated with multivariate-adjusted increased risk of incident CVD among women. However, the magnitude of risk conferred by VAI was not significantly higher than those conferred by BMI, WHpR, or WHtR. Among men, after adjustment for established CVD risk factors, VAI was no longer associated with increased risk of CVD. VAI failed to add to the predictive ability of the Framingham general CVD algorithm.

Conclusions: Using VAI instead of simple anthropometric measures may lead to loss of much information needed for predicting incident CVD.

Show MeSH
Related in: MedlinePlus