IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i5p487-d97713.html
   My bibliography  Save this article

Dietary Patterns and Obesity among Chinese Adults: Results from a Household-Based Cross-Sectional Study

Author

Listed:
  • Yan Zou

    (Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou 310051, China)

  • Ronghua Zhang

    (Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou 310051, China)

  • Shichang Xia

    (Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou 310051, China)

  • Lichun Huang

    (Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou 310051, China)

  • Jia Meng

    (Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou 310051, China)

  • Yueqiang Fang

    (Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou 310051, China)

  • Gangqiang Ding

    (Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou 310051, China)

Abstract

The key dietary pattern other than dietary factors influencing obesity has been reported by several large epidemiological studies. This study was carried out between 2010 and 2012 including 1613 adult residents in Zhejiang Province. Dietary patterns were extracted by factor analysis based on 24-h dietary recall. Associations with dietary patterns and obesity were examined and adjusted for age and gender by logistic regression. Five dietary patterns were identified by factor analysis with their eigenvalues greater than 1: ‘cereal, animal, and plant food’, ‘high protein food’, ‘plant food’, ‘poultry’, and ‘beverage’. After adjustment for age and gender, the ‘cereal, animal, and plant food’ and ‘beverage’ pattern was associated with obesity (OR = 2.924, 3.257; 95% CI = 1.147–7.463, 1.372–7.692). In conclusion, ‘cereal, animal, and plant food’ and ‘beverage’ dietary patterns may be associated with increased risk of obesity. ‘Cereal, animal, and plant food’ dietary patterns may be associated with increased risk of obesity resulting from increased total energy intake by increased protein and fat intake; while a ‘beverage’ dietary pattern may be associated with increased risk of obesity resulting from increased total energy intake by increased carbohydrate intake. The findings are valuable in targeting future nutrition education.

Suggested Citation

  • Yan Zou & Ronghua Zhang & Shichang Xia & Lichun Huang & Jia Meng & Yueqiang Fang & Gangqiang Ding, 2017. "Dietary Patterns and Obesity among Chinese Adults: Results from a Household-Based Cross-Sectional Study," IJERPH, MDPI, vol. 14(5), pages 1-12, May.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:5:p:487-:d:97713
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/5/487/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/14/5/487/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Chao Song & Meng Wang & Zheng Chen & Yecheng Yao & Ganyu Feng & Yanning Ma & Jing Fan & Ailing Liu, 2020. "Fetal Exposure to Chinese Famine Increases Obesity Risk in Adulthood," IJERPH, MDPI, vol. 17(10), pages 1-12, May.

    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:14:y:2017:i:5:p:487-:d:97713. 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.