IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i6p931-d214072.html
   My bibliography  Save this article

Prediction of Physical Activity Intensity with Accelerometry in Young Children

Author

Listed:
  • Chiaki Tanaka

    (Division of Integrated Sciences, J. F. Oberlin University, Tokyo 194-0294, Japan)

  • Yuki Hikihara

    (Faculty of Creative Engineering, Chiba Institute of Technology, Chiba 275-0023, Japan)

  • Takafumi Ando

    (Japan Society for the Promotion of Science, Tokyo 102-0083, Japan)

  • Yoshitake Oshima

    (Faculty of Humanities and Social Sciences, University of Marketing and Distribution Sciences, Hyogo 651-2188, Japan)

  • Chiyoko Usui

    (Waseda Institute for Sport Sciences, Waseda University, Saitama 359-1192, Japan)

  • Yuji Ohgi

    (Graduate School of Media and Governance, Keio University, Kanagawa 252-0882, Japan)

  • Koichi Kaneda

    (Faculty of Advanced Engineering, Chiba Institute of Technology, Chiba 275-0023, Japan)

  • Shigeho Tanaka

    (Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan)

Abstract

Background : An algorithm for the classification of ambulatory and non-ambulatory activities using the ratio of unfiltered to filtered synthetic acceleration measured with a triaxial accelerometer and predictive models for physical activity intensity (METs) in adults and in elementary school children has been developed. The purpose of the present study was to derive predictive equations for METs with a similar algorithm in young children. Methods : Thirty-seven healthy Japanese children (four- to six-years old) participated in this study. The five non-ambulatory activities including low-intensity activities, and five ambulatory activities were selected. The raw accelerations using a triaxial accelerometer and energy expenditure by indirect calorimetry using the Douglas bag method during each activity were collected. Results : For non-ambulatory activities, especially light-intensity non-ambulatory activities, linear regression equations with a predetermined intercept (0.9) or quadratic equations were a better fit than the linear regression. The equations were different from those for adults and elementary school children. On the other hand, the ratios of unfiltered to filtered synthetic acceleration in non-ambulatory activities were different from those in ambulatory activities, as in adults and elementary school children. Conclusions : Our calibration model for young children could accurately predict intensity of physical activity including low-intensity non-ambulatory activities.

Suggested Citation

  • Chiaki Tanaka & Yuki Hikihara & Takafumi Ando & Yoshitake Oshima & Chiyoko Usui & Yuji Ohgi & Koichi Kaneda & Shigeho Tanaka, 2019. "Prediction of Physical Activity Intensity with Accelerometry in Young Children," IJERPH, MDPI, vol. 16(6), pages 1-11, March.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:6:p:931-:d:214072
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/6/931/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/6/931/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuki Hikihara & Chiaki Tanaka & Yoshitake Oshima & Kazunori Ohkawara & Kazuko Ishikawa-Takata & Shigeho Tanaka, 2014. "Prediction Models Discriminating between Nonlocomotive and Locomotive Activities in Children Using a Triaxial Accelerometer with a Gravity-removal Physical Activity Classification Algorithm," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-11, April.
    2. Chiaki Tanaka & Masayuki Okuda & Maki Tanaka & Shigeru Inoue & Shigeho Tanaka, 2018. "Associations of Physical Activity and Sedentary Time in Primary School Children with Their Parental Behaviors and Supports," IJERPH, MDPI, vol. 15(9), pages 1-15, September.
    3. Chiaki Tanaka & John J. Reilly & Maki Tanaka & Shigeho Tanaka, 2018. "Changes in Weight, Sedentary Behaviour and Physical Activity during the School Year and Summer Vacation," IJERPH, MDPI, vol. 15(5), pages 1-19, May.
    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. Nao Koizumi & Hitomi Ogata & Yutaro Negishi & Hisashi Nagayama & Miki Kaneko & Ken Kiyono & Naomi Omi, 2023. "Energy Expenditure of Disaster Relief Operations Estimated Using a Tri-Axial Accelerometer and a Wearable Heart Rate Monitor," IJERPH, MDPI, vol. 20(9), pages 1-11, May.
    2. Chiaki Tanaka & Akiko Shikano & Natsuko Imai & Kar Hau Chong & Steven J. Howard & Kosuke Tanabe & Anthony D. Okely & Ellie K. Taylor & Shingo Noi, 2023. "Accelerometer-Measured Physical Activity and Sedentary Time among Children in Japan before and during COVID-19: A Cross-Sectional and Longitudinal Analysis," IJERPH, MDPI, vol. 20(2), pages 1-10, January.

    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. Chiaki Tanaka & Masayuki Okuda & Maki Tanaka & Shigeru Inoue & Shigeho Tanaka, 2018. "Associations of Physical Activity and Sedentary Time in Primary School Children with Their Parental Behaviors and Supports," IJERPH, MDPI, vol. 15(9), pages 1-15, September.
    2. Fernando Rodríguez-Rodríguez & Francisco Javier Huertas-Delgado & Yaira Barranco-Ruiz & María Jesús Aranda-Balboa & Palma Chillón, 2020. "Are the Parents’ and Their Children’s Physical Activity and Mode of Commuting Associated? Analysis by Gender and Age Group," IJERPH, MDPI, vol. 17(18), pages 1-16, September.
    3. Irina Kliziene & Ginas Cizauskas & Saule Sipaviciene & Roma Aleksandraviciene & Kristina Zaicenkoviene, 2021. "Effects of a Physical Education Program on Physical Activity and Emotional Well-Being among Primary School Children," IJERPH, MDPI, vol. 18(14), pages 1-14, July.
    4. Hyunshik Kim & Jiameng Ma & Kenji Harada & Sunkyoung Lee & Ying Gu, 2020. "Associations between Adherence to Combinations of 24-h Movement Guidelines and Overweight and Obesity in Japanese Preschool Children," IJERPH, MDPI, vol. 17(24), pages 1-11, December.
    5. Osama Aljuhani & Rola Alsuwailem & Abdulelah Al-Salawi & Gavin Sandercock, 2022. "Physical Activity and Sedentary Behaviors in Primary School Children in Saudi Arabia during the COVID-19 Pandemic: Association with Parents’ Behaviors," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    6. Chiaki Tanaka & John J. Reilly & Maki Tanaka & Shigeho Tanaka, 2018. "Changes in Weight, Sedentary Behaviour and Physical Activity during the School Year and Summer Vacation," IJERPH, MDPI, vol. 15(5), pages 1-19, May.
    7. Anna Kawalec & Krystyna Pawlas, 2021. "Familial Correlates of Leisure Time Activities among Polish Early School-Age Children: A Cross-Sectional Study," IJERPH, MDPI, vol. 18(7), pages 1-13, April.
    8. Erika Yamanaka & Takayo Inayama & Kanzo Okazaki & Tsubasa Nakada & Michio Kojima & Ichiro Kita & Kazunori Ohkawara, 2023. "The Amount of Light to Vigorous Physical Activity (Met’s-Hours/Day) in Children with and without Down Syndrome Attending Elementary School in Japan," IJERPH, MDPI, vol. 20(2), pages 1-8, January.
    9. Chiaki Tanaka & Yuki Hikihara & Shigeru Inoue & Shigeho Tanaka, 2019. "The Choice of Pedometer Impacts on Daily Step Counts in Primary School Children under Free-Living Conditions," IJERPH, MDPI, vol. 16(22), pages 1-10, November.

    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:6:p:931-:d:214072. 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.