IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i10p1027-d80919.html
   My bibliography  Save this article

The Association of Ideal Cardiovascular Health and Atherogenic Index of Plasma in Rural Population: A Cross-Sectional Study from Northeast China

Author

Listed:
  • Ye Chang

    (Department of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China)

  • Yuan Li

    (Department of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China)

  • Xiaofan Guo

    (Department of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China)

  • Dongxue Dai

    (Department of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China)

  • Yingxian Sun

    (Department of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China)

Abstract

In 2010, the American Heart Association has proposed a new concept “ideal cardiovascular health” (CVH) based on seven CVH metrics: smoking, body mass index, physical activity, diet score, total cholesterol, blood pressure, and fasting plasma glucose. We aimed to determine the association of CVH with atherogenic index of plasma (AIP), a strong marker for atherosclerosis (AS). This cross-sectional study was conducted in the rural areas of northeast China and 11,113 middle-aged subjects were enrolled. Seven CVH metrics were classified into ideal, intermediate, and poor groups. AIP was calculated as log (TG/HDL) (triglycerides/high-density lipoprotein cholesterol). AIP > 0.21 was classified into the high AIP group and served as dependent variable. All seven CVH metrics were correlated with AIP. A gradient relationship between the number of poor CVH metrics and the prevalence of high AIP existed. Log binomial regression analysis showed that compared to those with five to seven ideal CVH metrics, individuals with four, three, two, one, and no ideal CVH metrics had 1.67, 2.66, 4.00, 5.30 and 6.50 times higher prevalence for high AIP. The subjects with poor CVH status had 2.73 times higher prevalence for high AIP. We found an inversely gradient relationship between the number of ideal CVH metrics and lower prevalence of high AIP.

Suggested Citation

  • Ye Chang & Yuan Li & Xiaofan Guo & Dongxue Dai & Yingxian Sun, 2016. "The Association of Ideal Cardiovascular Health and Atherogenic Index of Plasma in Rural Population: A Cross-Sectional Study from Northeast China," IJERPH, MDPI, vol. 13(10), pages 1-13, October.
  • Handle: RePEc:gam:jijerp:v:13:y:2016:i:10:p:1027-:d:80919
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/10/1027/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/13/10/1027/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Slavenka Janković & Dragana Stojisavljević & Janko Janković & Miloš Erić & Jelena Marinković, 2014. "Status of cardiovascular health in a transition European country: findings from a population-based cross-sectional study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(5), pages 769-778, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ye Chang & Yuan Li & Xiaofan Guo & Yintao Chen & Dongxue Dai & Yingxian Sun, 2017. "The Prevalence of Hypertension Accompanied by High Homocysteine and its Risk Factors in a Rural Population: A Cross-Sectional Study from Northeast China," IJERPH, MDPI, vol. 14(4), pages 1-16, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Grzegorz Józef Nowicki & Barbara Ślusarska & Honorata Piasecka & Agnieszka Bartoszek & Katarzyna Kocka & Alina Deluga, 2018. "The Status of Cardiovascular Health in Rural and Urban Areas of Janów Lubelski District in Eastern Poland: A Population-Based Study," IJERPH, MDPI, vol. 15(11), pages 1-15, October.
    2. Janko Janković & Sladjana Šiljak & Miloš Erić & Jelena Marinković & Slavenka Janković, 2018. "Inequalities in the utilization of health care services in a transition European country: results from the national population health survey," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(2), pages 261-272, March.
    3. Izabela Gąska & Katarzyna Sygit & Elżbieta Cipora & Marian Sygit & Anna Pacian & Maryna Surmach & Dorota Kaleta & Adam Rzeźnicki, 2021. "Assessment of the Health Behaviours and Value-Based Health Analysis of People Aged 50+ Who Were Hospitalized Due to Cardiovascular Disease," IJERPH, MDPI, vol. 18(8), pages 1-23, April.

    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:10:p:1027-:d:80919. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.