IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i5p941-d145318.html
   My bibliography  Save this article

The Physical Activity Patterns among Rural Chinese Adults: Data from China National Nutrition and Health Survey in 2010–2012

Author

Listed:
  • Caicui Ding

    (Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Chao Song

    (Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Fan Yuan

    (Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Yan Zhang

    (Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Ganyu Feng

    (Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Zheng Chen

    (Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Ailing Liu

    (Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

Abstract

China has experienced a rapid increase in non-communicable diseases (NCDs), especially in rural China. In addition to a dramatic increase in energy intake, the decrease in physical activity (PA) may be a reason. The study described the patterns and factors of physical activity and sedentary behaviors of 70,038 adults in rural China, based on data from the Chinese Nutrition and Health Survey (CNNHS) in 2010–2012. The mean working time of the employed subjects was 6.04 ± 1.3 day/week, 8.38 ± 2.2 h/day, of which 3.37 ± 2.8 h was sitting time. The occupational PA intensity was significantly relevant with occupation. The average transportation time of the rural Chinese adults was 57.9 ± 45.4 min, and 60.0% took the active transportation mode. The leisure-time PA (LTPA) participation rate was 3.8%, the LTPA time of those who had LTPA was 234.9 ± 231.3 min/week, lower participation was found in farmers and those in younger age groups, and those with lower educational and economic levels. The average domestic PA time, sedentary leisure-time, and sleeping time was 93.0 ± 72.7 min, 2.5 ± 1.4 h, and 7.9 ± 1.1 h, respectively. PA programs should be implemented in rural China, and the PA guidelines for farmers should be developed separately for the farming and non-farming seasons.

Suggested Citation

  • Caicui Ding & Chao Song & Fan Yuan & Yan Zhang & Ganyu Feng & Zheng Chen & Ailing Liu, 2018. "The Physical Activity Patterns among Rural Chinese Adults: Data from China National Nutrition and Health Survey in 2010–2012," IJERPH, MDPI, vol. 15(5), pages 1-13, May.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:5:p:941-:d:145318
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/5/941/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/5/941/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lykke E. Andersen & Boris Branisa & Marcelo Cardona, 2016. "S - Salud," INESAD book chapters, in: Lykke E. Andersen & Boris Branisa & Stefano Canelas (ed.), El ABC del desarrollo en Bolivia, edition 1, volume 1, chapter 0, pages 207-213, Institute for Advanced Development Studies.
    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. Wenwen Du & Huijun Wang & Chang Su & Xiaofang Jia & Bing Zhang, 2022. "Thirty-Year Urbanization Trajectories and Obesity in Modernizing China," IJERPH, MDPI, vol. 19(4), pages 1-11, February.
    2. Caicui Ding & Ganyu Feng & Fan Yuan & Weiyan Gong & Yecheng Yao & Yanning Ma & Yan Zhang & Ailing Liu, 2019. "Temporal Trends and Recent Correlates in Sedentary Behaviors among Chinese Adults from 2002 to 2010–2012," IJERPH, MDPI, vol. 17(1), pages 1-14, December.

    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. Alex Véliz Burgos & Dionisio Godoy Oyarzun & Alexis Soto Salcedo & Anita Dörner Paris & Victor Hugo Robles-Francia & Juan Guillermo Estay Sepúlveda & Germán Moreno Leiva & Juan Mansilla Sepúlveda, 2020. "Mental Health Levels Of Students Of A State University," Entrepreneurship, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 8(1), pages 17-31.

    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:15:y:2018:i:5:p:941-:d:145318. 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.