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Comparison of the Combined Obesity Indices to Predict Cardiovascular Diseases Risk Factors and Metabolic Syndrome in Northeast China

Author

Listed:
  • Yuchun Tao

    (Epidemiology and Biostatistics School of Public Health, NO. 1163 Xinmin Street, Jilin University, Changchun 130021, China)

  • Jianxing Yu

    (Epidemiology and Biostatistics School of Public Health, NO. 1163 Xinmin Street, Jilin University, Changchun 130021, China)

  • Yuhui Tao

    (Department of Immunization Program, Changchun Center for Disease Control and Prevention, Changchun 130021, China)

  • Hui Pang

    (Epidemiology and Biostatistics School of Public Health, NO. 1163 Xinmin Street, Jilin University, Changchun 130021, China)

  • Yang Yu

    (Epidemiology and Biostatistics School of Public Health, NO. 1163 Xinmin Street, Jilin University, Changchun 130021, China)

  • Yaqin Yu

    (Epidemiology and Biostatistics School of Public Health, NO. 1163 Xinmin Street, Jilin University, Changchun 130021, China)

  • Lina Jin

    (Epidemiology and Biostatistics School of Public Health, NO. 1163 Xinmin Street, Jilin University, Changchun 130021, China)

Abstract

Background : Obesity is associated with cardiovascular disease (CVD) risk factors (hypertension, dyslipidemia and diabetes) and metabolic syndrome (MetS), and it may be flawed that most studies only use one obesity index to predict these risk factors. Therefore, our study aims to compare the various combined obesity indices systematically, and to find the optimal combined obesity indices to predict CVD risk factors and MetS. Methods : A total of 16,766 participants aged 18–79 years old were recruited in Jilin Province in 2012. Receiver operating characteristic curve (ROC) curves and multiple logistic regressions were used to evaluate the predictive capacity of the combined obesity indices for CVD risk factors and MetS. Results : The adjusted area under receiver operating characteristic (AUROC) with two combined obesity indices had been improved up to 19.45%, compared with one single obesity index. In addition, body mass index (BMI) and waist circumference (WC) were the optimal combinations, where the AUROC (95% confidence interval (CI)) for hypertension, dyslipidemia, diabetes and MetS in males were 0.730 (0.718, 0.740), 0.694 (0.682, 0.706), 0.725 (0.709, 0.742) and 0.820 (0.810, 0.830), and in females were 0.790 (0.780, 0.799), 0.727 (0.717, 0.738), 0.746 (0.731, 0.761) and 0.828 (0.820, 0.837), respectively. Conclusions : The more abnormal obesity indices that one has the higher the risk for CVD risk factors and MetS, especially in males. In addition, the combined obesity indices have better predictions than one obesity index, where BMI and WC are the optimal combinations.

Suggested Citation

  • Yuchun Tao & Jianxing Yu & Yuhui Tao & Hui Pang & Yang Yu & Yaqin Yu & Lina Jin, 2016. "Comparison of the Combined Obesity Indices to Predict Cardiovascular Diseases Risk Factors and Metabolic Syndrome in Northeast China," IJERPH, MDPI, vol. 13(8), pages 1-9, August.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:8:p:801-:d:75596
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    Citations

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    Cited by:

    1. Javier Martínez-Torres & Jorge Enrique Correa-Bautista & Katherine González-Ruíz & Andrés Vivas & Héctor Reynaldo Triana-Reina & Daniel Humberto Prieto-Benavidez & Hugo Alejandro Carrillo & Jeison Ale, 2017. "A Cross-Sectional Study of the Prevalence of Metabolic Syndrome and Associated Factors in Colombian Collegiate Students: The FUPRECOL-Adults Study," IJERPH, MDPI, vol. 14(3), pages 1-14, February.
    2. Sung Hoon Jeong & Bich Na Jang & Seung Hoon Kim & Sung-In Jang & Eun-Cheol Park, 2021. "Investigation of the Association between Smoking Behavior and Metabolic Syndrome Using Lipid Accumulation Product Index among South Korean Adults," IJERPH, MDPI, vol. 18(8), pages 1-10, April.

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