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Health Information Risk Analysis Based on BMI Fluctuation

Received: 1 December 2020    Accepted: 9 December 2020    Published: 22 December 2020
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Abstract

Obesity is a factor that lowers productivity in companies. In recent years there has been a focus on health management in the management of human resources, including obesity. Actually, as living habits change after people graduate from university and become company employees, a situation arises in which it is easy for obesity to occur from a lack of activity and the accumulation of stress. People therefore need to establish risk management for obesity while they are still university students. However, the concept of obesity as a human resource and the magnitude of that risk are not clear in university students. Since the cutoff value for obesity is not established, if health information on risk due to the degree of obesity were understood, it would perhaps contribute to the facilitation of health management in university students. In this study we assessed the level of health risk based on BMI fluctuations, calculated mean values for health information items for each unit of BMI for BMI values from 14 to 34, and analyzed fluctuations in health information items by analyzing changing trends in each item based on BMI fluctuation. The results showed that blood pressure and maximum oxygen uptake increased risks together with fluctuations in BMI. With this, it is thought that a new cutoff point for obesity risk can be established.

Published in American Journal of Sports Science (Volume 8, Issue 4)
DOI 10.11648/j.ajss.20200804.15
Page(s) 105-110
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Obesity, Health Information, BMI Fluctuation, Cutoff Value

References
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  • APA Style

    Yuki Takeyama, Katsunori Fujii. (2020). Health Information Risk Analysis Based on BMI Fluctuation. American Journal of Sports Science, 8(4), 105-110. https://doi.org/10.11648/j.ajss.20200804.15

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    ACS Style

    Yuki Takeyama; Katsunori Fujii. Health Information Risk Analysis Based on BMI Fluctuation. Am. J. Sports Sci. 2020, 8(4), 105-110. doi: 10.11648/j.ajss.20200804.15

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    AMA Style

    Yuki Takeyama, Katsunori Fujii. Health Information Risk Analysis Based on BMI Fluctuation. Am J Sports Sci. 2020;8(4):105-110. doi: 10.11648/j.ajss.20200804.15

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  • @article{10.11648/j.ajss.20200804.15,
      author = {Yuki Takeyama and Katsunori Fujii},
      title = {Health Information Risk Analysis Based on BMI Fluctuation},
      journal = {American Journal of Sports Science},
      volume = {8},
      number = {4},
      pages = {105-110},
      doi = {10.11648/j.ajss.20200804.15},
      url = {https://doi.org/10.11648/j.ajss.20200804.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajss.20200804.15},
      abstract = {Obesity is a factor that lowers productivity in companies. In recent years there has been a focus on health management in the management of human resources, including obesity. Actually, as living habits change after people graduate from university and become company employees, a situation arises in which it is easy for obesity to occur from a lack of activity and the accumulation of stress. People therefore need to establish risk management for obesity while they are still university students. However, the concept of obesity as a human resource and the magnitude of that risk are not clear in university students. Since the cutoff value for obesity is not established, if health information on risk due to the degree of obesity were understood, it would perhaps contribute to the facilitation of health management in university students. In this study we assessed the level of health risk based on BMI fluctuations, calculated mean values for health information items for each unit of BMI for BMI values from 14 to 34, and analyzed fluctuations in health information items by analyzing changing trends in each item based on BMI fluctuation. The results showed that blood pressure and maximum oxygen uptake increased risks together with fluctuations in BMI. With this, it is thought that a new cutoff point for obesity risk can be established.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Health Information Risk Analysis Based on BMI Fluctuation
    AU  - Yuki Takeyama
    AU  - Katsunori Fujii
    Y1  - 2020/12/22
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ajss.20200804.15
    DO  - 10.11648/j.ajss.20200804.15
    T2  - American Journal of Sports Science
    JF  - American Journal of Sports Science
    JO  - American Journal of Sports Science
    SP  - 105
    EP  - 110
    PB  - Science Publishing Group
    SN  - 2330-8540
    UR  - https://doi.org/10.11648/j.ajss.20200804.15
    AB  - Obesity is a factor that lowers productivity in companies. In recent years there has been a focus on health management in the management of human resources, including obesity. Actually, as living habits change after people graduate from university and become company employees, a situation arises in which it is easy for obesity to occur from a lack of activity and the accumulation of stress. People therefore need to establish risk management for obesity while they are still university students. However, the concept of obesity as a human resource and the magnitude of that risk are not clear in university students. Since the cutoff value for obesity is not established, if health information on risk due to the degree of obesity were understood, it would perhaps contribute to the facilitation of health management in university students. In this study we assessed the level of health risk based on BMI fluctuations, calculated mean values for health information items for each unit of BMI for BMI values from 14 to 34, and analyzed fluctuations in health information items by analyzing changing trends in each item based on BMI fluctuation. The results showed that blood pressure and maximum oxygen uptake increased risks together with fluctuations in BMI. With this, it is thought that a new cutoff point for obesity risk can be established.
    VL  - 8
    IS  - 4
    ER  - 

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Author Information
  • Graduate School of Business Administration and Computer Science, Aichi Institute of Technology, Aichi-prefecture, Japan

  • Graduate School of Business Administration and Computer Science, Aichi Institute of Technology, Aichi-prefecture, Japan

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