IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i22p4494-d287089.html
   My bibliography  Save this article

Associations of Sedentary Behavior with Physical Fitness and Academic Performance among Chinese Students Aged 8–19 Years

Author

Listed:
  • Xin Huang

    (Institute of Child Development, Jiaxing University, Jiaxing 314001, Zhejiang, China)

  • Nan Zeng

    (Department of Food Science and Human Nutrition, Colorado State University, Fort Collins, CO 80523, USA)

  • Sunyue Ye

    (Institute of Child Development, Jiaxing University, Jiaxing 314001, Zhejiang, China)

Abstract

Background : Existing evidence regarding how time spent on various types of sedentary behavior (SB) in relation to physical fitness (PF) and academic performance (AP) in children and adolescents is limited. This cross-sectional study aimed to explore the associations of SB types with PF and AP among 8–19-year-old Chinese students. Methods : A total of 1164 students were recruited from five schools in Zhejiang province, China. Children’s SB was assessed by a valid questionnaire and AP was represented by scores on four courses. PF was measured by Chinese National Student PF Standard battery. The associations were assessed using linear mixed-effects models adjusted for age, school, grade, and class. Results : Students’ screen-based SB was observed to be negatively associated with PF in girls ( p < 0.05). Screen-based SB was inversely associated with AP in both girls and boys ( p < 0.001). The significant interaction between weekdays and weekends, and SB on AP was observed in girls ( p < 0.001). On weekends, screen-based SB ≥ 6 h/day (<3 h/day as reference group) was significantly and negatively associated with AP ( p < 0.01 for both sex). Conclusions: Longer screen-based SB, especially on weekends, was related to poorer AP in 8–19-year-old Chinese students. Our findings suggest that restrictions on any type of screen-based SB for leisure on weekends are beneficial to AP in Chinese students.

Suggested Citation

  • Xin Huang & Nan Zeng & Sunyue Ye, 2019. "Associations of Sedentary Behavior with Physical Fitness and Academic Performance among Chinese Students Aged 8–19 Years," IJERPH, MDPI, vol. 16(22), pages 1-9, November.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:22:p:4494-:d:287089
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/22/4494/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/22/4494/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hanyi Yan & Rui Zhang & Theresa M. Oniffrey & Guoxun Chen & Yueqiao Wang & Yingru Wu & Xinge Zhang & Quan Wang & Lu Ma & Rui Li & Justin B. Moore, 2017. "Associations among Screen Time and Unhealthy Behaviors, Academic Performance, and Well-Being in Chinese Adolescents," IJERPH, MDPI, vol. 14(6), pages 1-15, June.
    2. Wu, Jia & Wei, Xiangdong & Zhang, Hongliang & Zhou, Xiang, 2019. "Elite schools, magnet classes, and academic performances: Regression-discontinuity evidence from China," China Economic Review, Elsevier, vol. 55(C), pages 143-167.
    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. Kaori Ishii & Kenryu Aoyagi & Ai Shibata & Mohammad Javad Koohsari & Alison Carver & Koichiro Oka, 2020. "Joint Associations of Leisure Screen Time and Physical Activity with Academic Performance in a Sample of Japanese Children," IJERPH, MDPI, vol. 17(3), pages 1-8, January.
    2. George Danut Mocanu & Gabriel Murariu & Dan Munteanu, 2021. "The Influence of Socio-Demographic Factors on the Forms of Leisure for the Students at the Faculty of Physical Education and Sports," IJERPH, MDPI, vol. 18(23), pages 1-24, November.
    3. David Cabello-Manrique & Juan Angel Lorente & Rosario Padial-Ruz & Esther Puga-González, 2022. "Play Badminton Forever: A Systematic Review of Health Benefits," IJERPH, MDPI, vol. 19(15), pages 1-21, July.

    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. Fort, Margherita & Ichino, Andrea & Rettore, Enrico & Zanella, Giulio, 2022. "Multi-cutoff RD designs with observations located at each cutoff: problems and solutions," CEPR Discussion Papers 16974, C.E.P.R. Discussion Papers.
    2. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    3. Yu Gao & Ning Fu & Yuping Mao & Lu Shi, 2021. "Recreational Screen Time and Anxiety among College Athletes: Findings from Shanghai," IJERPH, MDPI, vol. 18(14), pages 1-8, July.
    4. Huang, Bin & Li, Bo & Walker, Ian & Zhu, Yu, 2022. "Does It Pay to Attend More Selective High Schools? Regression Discontinuity Evidence from China," IZA Discussion Papers 15756, Institute of Labor Economics (IZA).
    5. Landaud, Fanny & Maurin, Eric, 2022. "Tracking When Ranking Matters," IZA Discussion Papers 15157, Institute of Labor Economics (IZA).
    6. Magdalena Górnicka & Jadwiga Hamulka & Lidia Wadolowska & Joanna Kowalkowska & Eliza Kostyra & Marzena Tomaszewska & Jan Czeczelewski & Monika Bronkowska, 2020. "Activity–Inactivity Patterns, Screen Time, and Physical Activity: The Association with Overweight, Central Obesity and Muscle Strength in Polish Teenagers. Report from the ABC of Healthy Eating Study," IJERPH, MDPI, vol. 17(21), pages 1-21, October.
    7. Marie-Maude Dubuc & Mylène Aubertin-Leheudre & Antony D. Karelis, 2019. "Lifestyle Habits Predict Academic Performance in High School Students: The Adolescent Student Academic Performance Longitudinal Study (ASAP)," IJERPH, MDPI, vol. 17(1), pages 1-15, December.
    8. Huang, Bin & Tani, Massimiliano & Wei, Yi & Zhu, Yu, 2022. "Returns to education in China: Evidence from the great higher education expansion," China Economic Review, Elsevier, vol. 74(C).
    9. Xiao Gu & Bojan Obrenovic & Wei Fu, 2023. "Empirical Study on Social Media Exposure and Fear as Drivers of Anxiety and Depression during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    10. Huang, Bin & Zhu, Yu, 2020. "Higher Education Expansion, the Hukou System, and Returns to Education in China," IZA Discussion Papers 12954, Institute of Labor Economics (IZA).
    11. Ran Bao & Si-Tong Chen & Yanlei Wang & Jun Xu & Lei Wang & Liye Zou & Yujun Cai, 2020. "Sedentary Behavior Research in the Chinese Population: A Systematic Scoping Review," IJERPH, MDPI, vol. 17(10), pages 1-26, May.
    12. Oosterbeek, Hessel & Ruijs, Nienke & de Wolf, Inge, 2023. "Heterogeneous effects of comprehensive vs. single-track academic schools: Evidence from admission lotteries," Economics of Education Review, Elsevier, vol. 93(C).

    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:16:y:2019:i:22:p:4494-:d:287089. 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.