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Predictive Ability of Six Obesity Measures to Identify 7-Year Fatal and Non-Fatal Cardiovascular Events: A Population-Based Cohort Study Publisher



Motamed N1 ; Roozafzai F2, 3 ; Khoonsari MR2 ; Malek M4 ; Mahdavi A5 ; Maadi M2 ; Ahmadi M2 ; Karbalaie Niya MH2 ; Babaei MR6 ; Safarnezhad Tameshkel F2 ; Faraji AH2 ; Nikkhah M2 ; Ebrahimi R6 ; Ajdarkosh H2 Show All Authors
Authors
  1. Motamed N1
  2. Roozafzai F2, 3
  3. Khoonsari MR2
  4. Malek M4
  5. Mahdavi A5
  6. Maadi M2
  7. Ahmadi M2
  8. Karbalaie Niya MH2
  9. Babaei MR6
  10. Safarnezhad Tameshkel F2
  11. Faraji AH2
  12. Nikkhah M2
  13. Ebrahimi R6
  14. Ajdarkosh H2
  15. Zamani F2
Show Affiliations
Authors Affiliations
  1. 1. Department of Social Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
  2. 2. Gastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran
  3. 3. Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Research Center for Prevention of Cardiovascular diseases, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
  5. 5. School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Radiology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran

Source: International Journal of Cardiology: Cardiovascular Risk and Prevention Published:2022


Abstract

Background: Globally, most people die from cardiovascular diseases. We aimed to compare predictive ability of six obesity indices, including body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, conicity index, and abdominal volume index, to identify people at risk of fatal and non-fatal cardiovascular events, in a cohort study. Methods: We studied 5147 participants in a baseline population-based cohort study conducted in northern Iran. The obesity measures were calculated in enrollment phase (2009–2010), and the cardiovascular events were recorded during a 7-year follow-up phase (2010–2017). Receiver operating characteristic (ROC) analyses and Cox hazard regression models were applied, considering the obesity measures as predictors, and the 7-year cardiovascular events as outcomes. Multiple Cox models were adjusted by age, prior history of cardiovascular diseases, chronic kidney diseases, insulin resistance, diabetes mellitus, dyslipidemia, hypertension, and smoking status. Results: Conicity index showed the highest performance in predicting 7-year fatal and non-fatal cardiovascular events with areas under the ROC curve of 0.77 [95% confidence interval: 0.71–0.82], and 0.63 [0.59–0.68] in men, and 0.80 [0.74–0.87], and 0.65 [0.60–0.71] in women, respectively. In multiple Cox models, the obesity measures had no significant associations with cardiovascular events in women. In men, only waist-to-height ratio was independently associated with 7-year non-fatal cardiovascular events (hazard ratio: 1.19 [95% confidence interval: 1.01–1.38]). Conclusions: Although waist-to-height ratio had an independent association with 7-year non-fatal cardiovascular events in men, conicity index showed the best ability to predict 7-year fatal and non-fatal cardiovascular events in our study. © 2022
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