IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i20p13504-d946567.html
   My bibliography  Save this article

Multiscale Impact of Environmental and Socio-Economic Factors on Low Physical Fitness among Chinese Adolescents and Regionalized Coping Strategies

Author

Listed:
  • Zihan Tong

    (Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China)

  • Zhenxing Kong

    (Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China)

  • Xiao Jia

    (Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China)

  • Hanyue Zhang

    (Institute of Physical Education, Northeast Normal University, Changchun 130024, China)

  • Yimin Zhang

    (Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China)

Abstract

As low physical fitness in adolescents increases their risk of all-cause mortality in future adulthood as well as regional public health budgets, many scholars have studied the factors influencing physical fitness in adolescents. However, the spatial non-stationarity and scale between physical fitness and influencing factors in adolescents are often neglected. To rectify this situation, this study constructed a multi-scale geographically weighted regression model based on data from the China National Student Fitness Survey and the China Statistical Yearbook in 2018 to investigate the spatial patterns of factors influencing low physical fitness among adolescents. The results showed that the influencing factors for measuring the physical fitness of Chinese adolescents had significant spatial heterogeneity and multi-scale effects. The local R 2 values were relatively low in the western region of China. Consideration should be given to increasing the lifestyle and ethnic and cultural characteristics of local residents when selecting influencing factors in the future. The physical fitness of men was mainly influenced by socio-economic factors, while that of women was influenced by natural environmental factors. According to the different spatial distribution patterns of MGWR, this study suggests that each region should develop regionalized strategies to cope with the low physical fitness of adolescents, including taking advantage of the natural environment to develop physical fitness promotion projects, accelerating the upgrading of industrial structures in the north-eastern and western regions, and the need to remain cautious of rapid urbanization in the east.

Suggested Citation

  • Zihan Tong & Zhenxing Kong & Xiao Jia & Hanyue Zhang & Yimin Zhang, 2022. "Multiscale Impact of Environmental and Socio-Economic Factors on Low Physical Fitness among Chinese Adolescents and Regionalized Coping Strategies," IJERPH, MDPI, vol. 19(20), pages 1-24, October.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13504-:d:946567
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/20/13504/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/20/13504/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. María Rivera-Ochoa & Javier Brazo-Sayavera & Barbara Vizmanos-Lamotte & Asier Mañas & Juan Ricardo López-Taylor & Marcela González-Gross & Amelia Guadalupe-Grau, 2020. "Health-Related Factors in Rural and Urban Mexican Adolescents from the State of Jalisco: The HELENA-MEX Study," IJERPH, MDPI, vol. 17(23), pages 1-16, December.
    2. Yunxi Tian & Lingfang Liu & Xuhui Wang & Xue Zhang & Yang Zhai & Kai Wang & Jianjun Liu, 2021. "Urban-Rural Differences in Physical Fitness and Out-of-School Physical Activity for Primary School Students: A County-Level Comparison in Western China," IJERPH, MDPI, vol. 18(20), pages 1-17, October.
    3. Hengyu Gu & Hanchen Yu & Mehak Sachdeva & Ye Liu, 2021. "Analyzing the distribution of researchers in China: An approach using multiscale geographically weighted regression," Growth and Change, Wiley Blackwell, vol. 52(1), pages 443-459, March.
    4. Xiangxiang Zhang & Hong Liu, 2022. "Heterogeneity Perspective on the Dynamic Identification of Low-Income Groups and Quantitative Decomposition of Income Increase: Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-18, July.
    5. Levi N. Bonnell & Benjamin Littenberg, 2022. "Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties," IJERPH, MDPI, vol. 19(11), pages 1-10, June.
    6. Maria E Hermosillo-Gallardo & Russell Jago & Simon J Sebire, 2018. "Association between urbanicity and physical activity in Mexican adolescents: The use of a composite urbanicity measure," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-16, September.
    7. Gerhard Ruedl & Martin Niedermeier & Lukas Wimmer & Vivien Ploner & Elena Pocecco & Armando Cocca & Klaus Greier, 2021. "Impact of Parental Education and Physical Activity on the Long-Term Development of the Physical Fitness of Primary School Children: An Observational Study," IJERPH, MDPI, vol. 18(16), pages 1-13, August.
    8. Ziqi Li & A. Stewart Fotheringham & Taylor M. Oshan & Levi John Wolf, 2020. "Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 110(5), pages 1500-1520, September.
    9. Daniel Puciato & Michał Rozpara, 2020. "Demographic and Socioeconomic Determinants of Body Mass Index in People of Working Age," IJERPH, MDPI, vol. 17(21), pages 1-12, November.
    10. He Jin & Yongmei Lu, 2017. "Academic Performance of Texas Public Schools and Its Relationship with Students' Physical Fitness and Socioeconomic Status," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 8(3), pages 37-52, July.
    11. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    12. Zhiyu Fan & Qingming Zhan & Chen Yang & Huimin Liu & Meng Zhan, 2020. "How Did Distribution Patterns of Particulate Matter Air Pollution (PM 2.5 and PM 10 ) Change in China during the COVID-19 Outbreak: A Spatiotemporal Investigation at Chinese City-Level," IJERPH, MDPI, vol. 17(17), pages 1-19, August.
    13. Yu Chen & Mengke Zhu & Qian Zhou & Yurong Qiao, 2021. "Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model," IJERPH, MDPI, vol. 18(3), pages 1-26, January.
    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. Zihan Tong & Zhenxing Kong & Xiao Jia & Jingjing Yu & Tingting Sun & Yimin Zhang, 2023. "Spatial Heterogeneity and Regional Clustering of Factors Influencing Chinese Adolescents’ Physical Fitness," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    2. Zisis Kozlakidis, 2023. "Promoting Health for Adolescents: An Editorial," IJERPH, MDPI, vol. 20(14), pages 1-4, 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. Zihan Tong & Zhenxing Kong & Xiao Jia & Jingjing Yu & Tingting Sun & Yimin Zhang, 2023. "Spatial Heterogeneity and Regional Clustering of Factors Influencing Chinese Adolescents’ Physical Fitness," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    2. Qinglin Jia & Tao Zhang & Long Cheng & Gang Cheng & Minjie Jin, 2022. "The Impact of the Neighborhood Built Environment on the Walking Activity of Older Adults: A Multi-Scale Spatial Heterogeneity Analysis," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    3. Feili Wei & Shuang Li & Ze Liang & Aiqiong Huang & Zheng Wang & Jiashu Shen & Fuyue Sun & Yueyao Wang & Huan Wang & Shuangcheng Li, 2021. "Analysis of Spatial Heterogeneity and the Scale of the Impact of Changes in PM 2.5 Concentrations in Major Chinese Cities between 2005 and 2015," Energies, MDPI, vol. 14(11), pages 1-20, June.
    4. Pengzhi Wei & Shaofeng Xie & Liangke Huang & Lilong Liu, 2021. "Ingestion of GNSS-Derived ZTD and PWV for Spatial Interpolation of PM 2.5 Concentration in Central and Southern China," IJERPH, MDPI, vol. 18(15), pages 1-26, July.
    5. A. Stewart Fotheringham & M. Sachdeva, 2022. "Scale and local modeling: new perspectives on the modifiable areal unit problem and Simpson’s paradox," Journal of Geographical Systems, Springer, vol. 24(3), pages 475-499, July.
    6. Qing Jiang & Xin Huang & Di Cui, 2023. "Rural–Urban Differences in Physical Fitness and Overweight Prevalence of Children and Adolescents from Central South China," IJERPH, MDPI, vol. 20(3), pages 1-15, January.
    7. Yanzhao Wang & Jianfei Cao, 2023. "Examining the Effects of Socioeconomic Development on Fine Particulate Matter (PM2.5) in China’s Cities Based on Spatial Autocorrelation Analysis and MGWR Model," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
    8. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).
    9. Hengyu Gu & Hanchen Yu & Mehak Sachdeva & Ye Liu, 2021. "Analyzing the distribution of researchers in China: An approach using multiscale geographically weighted regression," Growth and Change, Wiley Blackwell, vol. 52(1), pages 443-459, March.
    10. Jin, Peizhen & Mangla, Sachin Kumar & Song, Malin, 2021. "Moving towards a sustainable and innovative city: Internal urban traffic accessibility and high-level innovation based on platform monitoring data," International Journal of Production Economics, Elsevier, vol. 235(C).
    11. Chunfang Zhao & Yingliang Wu & Yunfeng Chen & Guohua Chen, 2023. "Multiscale Effects of Hedonic Attributes on Airbnb Listing Prices Based on MGWR: A Case Study of Beijing, China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    12. Tianjiao Wang & Congbin Guo, 2022. "Inverted U-Shaped Relationship between Physical Activity and Academic Achievement among Chinese Adolescents: On the Mediating Role of Physical and Mental Health," IJERPH, MDPI, vol. 19(8), pages 1-13, April.
    13. Li Gao & Mingjing Huang & Wuping Zhang & Lei Qiao & Guofang Wang & Xumeng Zhang, 2021. "Comparative Study on Spatial Digital Mapping Methods of Soil Nutrients Based on Different Geospatial Technologies," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    14. Youru Yao & Kang Ma & Cheng He & Yong Zhang & Yuesheng Lin & Fengman Fang & Shiyin Li & Huan He, 2023. "Urban Surface Ozone Concentration in Mainland China during 2015–2020: Spatial Clustering and Temporal Dynamics," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    15. Taylor M. Oshan & Levi J. Wolf & Mehak Sachdeva & Sarah Bardin & A. Stewart Fotheringham, 2022. "A scoping review on the multiplicity of scale in spatial analysis," Journal of Geographical Systems, Springer, vol. 24(3), pages 293-324, July.
    16. Oshan, Taylor M., 2022. "Navigating the methodological landscape in spatial analysis: a comment on ‘A Route Map for Successful Applications of Geographically-Weighted Regression’," OSF Preprints rckzj, Center for Open Science.
    17. Moore, David & Webb, Amanda L., 2022. "Evaluating energy burden at the urban scale: A spatial regression approach in Cincinnati, Ohio," Energy Policy, Elsevier, vol. 160(C).
    18. Hosseinzadeh, Aryan & Algomaiah, Majeed & Kluger, Robert & Li, Zhixia, 2021. "Spatial analysis of shared e-scooter trips," Journal of Transport Geography, Elsevier, vol. 92(C).
    19. Yigong Hu & Binbin Lu & Yong Ge & Guanpeng Dong, 2022. "Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression," Environment and Planning B, , vol. 49(6), pages 1715-1740, July.
    20. Yongxin Liu & Yiting Wang & Yiwen Lin & Xiaoqing Ma & Shifa Guo & Qianru Ouyang & Caige Sun, 2023. "Habitat Quality Assessment and Driving Factors Analysis of Guangdong Province, China," Sustainability, MDPI, vol. 15(15), pages 1-23, July.

    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:19:y:2022:i:20:p:13504-:d:946567. 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.