IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i23p9115-d457702.html
   My bibliography  Save this article

Physical Fitness Level and Mood State Changes in Basic Military Training

Author

Listed:
  • Hyoyeon Ahn

    (Department of Physical Education, College of Education, Seoul National University, Seoul 08826, Korea)

  • Yongse Kim

    (Department of Physical Education, College of Education, Seoul National University, Seoul 08826, Korea)

  • Jaeuk Jeong

    (Department of Physical Education, College of Education, Seoul National University, Seoul 08826, Korea)

  • Youngho So

    (College of Sports Science, Dankook University, Cheonan 31116, Korea)

Abstract

The purpose of this study was to investigate the change of fitness level and mood states in the basic military training (BMT) for midshipmen using latent growth model analysis. A total of 285 midshipmen were selected as participants in BMT. The results were as follow: First, the slope of low initial fitness level increase higher than high initial fitness level. Second, there is no significant on relation between the slope of total mood disturbance score (TMD) and initial TMD level. Third, initial fitness level might increase the difference in participants’ mood state. To Sum up, participants in low initial fitness level scored lower on the results of initial TMD than people in high initial fitness level, and the rate of change in TMD of the stronger participants was larger than the others. Thus, we suggested that to consideration not only fitness level but also psychological, social aspect during in BMT.

Suggested Citation

  • Hyoyeon Ahn & Yongse Kim & Jaeuk Jeong & Youngho So, 2020. "Physical Fitness Level and Mood State Changes in Basic Military Training," IJERPH, MDPI, vol. 17(23), pages 1-12, December.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:23:p:9115-:d:457702
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/23/9115/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/23/9115/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kenneth Bollen, 1986. "Sample size and bentler and Bonett's nonnormed fit index," Psychometrika, Springer;The Psychometric Society, vol. 51(3), pages 375-377, September.
    2. Hannes Kröger & Johan Fritzell & Rasmus Hoffmann, 2016. "The Association of Levels of and Decline in Grip Strength in Old Age with Trajectories of Life Course Occupational Position," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-16, May.
    Full references (including those not matched with items on IDEAS)

    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. Liliya Leopold, 2019. "Health Measurement and Health Inequality Over the Life Course: A Comparison of Self-rated Health, SF-12, and Grip Strength," Demography, Springer;Population Association of America (PAA), vol. 56(2), pages 763-784, April.
    2. Golob, Thomas F. & Regan, A C, 2002. "Trucking Industry Preferences for Driver Traveler Information Using Wireless Internet-enabled Devices," University of California Transportation Center, Working Papers qt40q8h6sf, University of California Transportation Center.
    3. Randi Hammervold & Ulf Olsson, 2012. "Testing structural equation models: the impact of error variances in the data generating process," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(5), pages 1547-1570, August.
    4. Zheng Zhao & Yaoqi Zhang & Yali Wen, 2018. "Residents’ Support Intentions and Behaviors Regarding Urban Trees Programs: A Structural Equation Modeling-Multi Group Analysis," Sustainability, MDPI, vol. 10(2), pages 1-11, January.
    5. Ogasawara, Haruhiko, 2016. "Bias correction of the Akaike information criterion in factor analysis," Journal of Multivariate Analysis, Elsevier, vol. 149(C), pages 144-159.
    6. Ingo Balderjahn, 1988. "A note to Bollen's alternative fit measure," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 283-285, June.
    7. Alessandra Fermani & Maria Rita Sergi & Angelo Carrieri & Isabella Crespi & Laura Picconi & Aristide Saggino, 2020. "Sustainable Tourism and Facilities Preferences: The Sustainable Tourist Stay Scale (STSS) Validation," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    8. Ying Tan & Feng Hai & József Popp & Judit Oláh, 2022. "Minimizing Waste in the Food Supply Chain: Role of Information System, Supply Chain Strategy, and Network Design," Sustainability, MDPI, vol. 14(18), pages 1-15, September.
    9. Wioleta Kucharska, 2017. "Consumer social network brand identification and personal branding. How do social network users choose among brand sites?," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1315879-131, January.
    10. Yu, Wantao & Jacobs, Mark A. & Salisbury, W. David & Enns, Harvey, 2013. "The effects of supply chain integration on customer satisfaction and financial performance: An organizational learning perspective," International Journal of Production Economics, Elsevier, vol. 146(1), pages 346-358.
    11. Herbert Marsh & John Balla, 1994. "Goodness of fit in confirmatory factor analysis: The effects of sample size and model parsimony," Quality & Quantity: International Journal of Methodology, Springer, vol. 28(2), pages 185-217, May.
    12. Christina Musalek & Sylvia Kirchengast, 2017. "Grip Strength as an Indicator of Health-Related Quality of Life in Old Age—A Pilot Study," IJERPH, MDPI, vol. 14(12), pages 1-12, November.
    13. Alexander Weiss, 1994. "Identifying Sources of Error in Informant Reports," Evaluation Review, , vol. 18(5), pages 592-612, October.
    14. Dhruba Kumar Gautam & Gunja Kumari Sah, 2023. "Online Banking Service Practices and Its Impact on E-Customer Satisfaction and E-Customer Loyalty in Developing Country of South Asia-Nepal," SAGE Open, , vol. 13(3), pages 21582440231, July.
    15. Scarpi, Daniele, 2012. "Work and Fun on the Internet: The Effects of Utilitarianism and Hedonism Online," Journal of Interactive Marketing, Elsevier, vol. 26(1), pages 53-67.
    16. Asada, Yukiko & Grignon, Michel & Hurley, Jeremiah & Kirkland, Susan, 2020. "Cautionary tails of grip strength in health inequality studies: An analysis from the Canadian longitudinal study on aging," Social Science & Medicine, Elsevier, vol. 265(C).
    17. Teerapong Pienwisetkaew & Peerapong Wongthahan & Phaninee Naruetharadhol & Sasichakorn Wongsaichia & Chonnipa Vonganunsuntree & Siraphat Padthar & Santi Nee & Ping He & Chavis Ketkaew, 2022. "Consumers’ Intention to Purchase Functional Non-Dairy Milk and Gender-Based Market Segmentation," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    18. Ana F. Silva & Jose Mª Cancela & Irimia Mollinedo & Miguel Camões & Pedro Bezerra, 2021. "The Relationship between Health Perception and Health Predictors among the Elderly across European Countries," IJERPH, MDPI, vol. 18(8), pages 1-10, April.
    19. repec:gdk:wpaper:39 is not listed on IDEAS
    20. Wm. David Salisbury & Wynne W. Chin & Abhijit Gopal & Peter R. Newsted, 2002. "Research Report: Better Theory Through Measurement—Developing a Scale to Capture Consensus on Appropriation," Information Systems Research, INFORMS, vol. 13(1), pages 91-103, March.
    21. Mishra, Deepa & Sharma, R.R.K. & Kumar, Sameer & Dubey, Rameshwar, 2016. "Bridging and buffering: Strategies for mitigating supply risk and improving supply chain performance," International Journal of Production Economics, Elsevier, vol. 180(C), pages 183-197.

    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:17:y:2020:i:23:p:9115-:d:457702. 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.