IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i2p235-d64122.html
   My bibliography  Save this article

Appropriate LDL-C-to-HDL-C Ratio Cutoffs for Categorization of Cardiovascular Disease Risk Factors among Uygur Adults in Xinjiang, China

Author

Listed:
  • Qing-Jie Chen

    (Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
    Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi 830054, China
    These authors contributed equally to this work.)

  • Hong-Mei Lai

    (Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, China
    These authors contributed equally to this work.)

  • Bang-Dang Chen

    (Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi 830054, China
    Clinical Research Institute of Xinjiang Medical University, Urumqi 830054, China)

  • Xiao-Mei Li

    (Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
    Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi 830054, China)

  • Hui Zhai

    (Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
    Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi 830054, China)

  • Chun-Hui He

    (Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
    Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi 830054, China)

  • Shuo Pan

    (Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
    Department of Cardiology, People’s Hospital of Shaanxi Province, Xian 710000, China)

  • Jun-Yi Luo

    (Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
    Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi 830054, China)

  • Jing Gao

    (Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
    Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi 830054, China)

  • Fen Liu

    (Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi 830054, China
    Clinical Research Institute of Xinjiang Medical University, Urumqi 830054, China)

  • Yi-Tong Ma

    (Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
    Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi 830054, China)

  • Yi-Ning Yang

    (Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
    Xinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi 830054, China)

Abstract

Elevated LDL-C/HDL-C ratio has been shown to be a marker of lipid metabolism as well as a good predictor of coronary artery disease (CAD). Thus, the aim of this study was to investigate whether the LDL-C/HDL-C ratio is useful for detecting cardiovascular disease (CVD) risk factors in general healthy Uygur adults in Xinjiang. A total of 4047 Uygur subjects aged ≥35 years were selected from the Cardiovascular Risk Survey (CRS) study which was carried out from October 2007 to March 2010. Anthropometric data, blood pressure, lipid profile and fasting glucose were measured in all participants. The prevalence, sensitivity, specificity and distance on the receiver operating characteristic (ROC) curve of each LDL-C/HDL-C ratio were calculated. The prevalence of high LDL-C and low HDL-C cholesterol was high and positively correlated with higher LDL-C/HDL-C ratio in the Uygur population. In both men and women, we detected a slight apparent trend of high prevalence of hypertension and hypercholesterolemia with higher LDL-C/HDL-C ratio. Our study also demonstrated that the discriminatory power of the LDL-C/HDL-C ratio for CVD risk factors was slightly stronger in men than in women. Analysis of the shortest distance in the ROC curves for hypertension, dyslipidemia, diabetes, or ≥two of these risk factors suggested a LDL-C/HDL-C ratio cutoff of 2.5 for both men and women. The results of this study showed that a LDL-C/HDL-C ratio cut-off of 2.5 might be used as the predictive marker to detect CVD risk factors among Uygur adults in Xinjiang.

Suggested Citation

  • Qing-Jie Chen & Hong-Mei Lai & Bang-Dang Chen & Xiao-Mei Li & Hui Zhai & Chun-Hui He & Shuo Pan & Jun-Yi Luo & Jing Gao & Fen Liu & Yi-Tong Ma & Yi-Ning Yang, 2016. "Appropriate LDL-C-to-HDL-C Ratio Cutoffs for Categorization of Cardiovascular Disease Risk Factors among Uygur Adults in Xinjiang, China," IJERPH, MDPI, vol. 13(2), pages 1-12, February.
  • Handle: RePEc:gam:jijerp:v:13:y:2016:i:2:p:235-:d:64122
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/2/235/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/13/2/235/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:13:y:2016:i:2:p:235-:d:64122. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.