Fitness motivations in United States Airmen
DOI:
https://doi.org/10.14687/jhs.v19i3.6275Keywords:
Extrinsic motivation, intrinsic motivation, wearable fitness trackers, United States Airforce, Physical Fitness Assessment, self-determination theoryAbstract
The increased consumer use of wearable fitness trackers which began in the early 2010s, has provided researchers with the opportunity to better understand human motivations for fitness. While physical fitness remains vital to health and is recognized as a predictor of long-term healthcare cost, it is crucial to better understand how to influence lasting changes in behavior and how those changes are associated with different motivation. The United States Air Force requires members to adhere to certain fitness standards as a means to measure mission readiness as well as in consideration of healthcare costs throughout an Airmen’s career and into their retirement. Wearable fitness trackers offer an opportunity for the Air Force to increase physical fitness among Airmen by tailoring motivation tactics to fit their individual needs. This article will review the differing types of human motivation that drive fitness by examining them in relation to self-determination theory and exploring how wearable fitness trackers can be utilized in conjunction with this to improve fitness among Airmen.
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Air Force Manual 36-2905. Air Force E Publishing Forms Schools. (n.d.). Retrieved November 15, 2021, from https://www.best-schools.info/air-force-e-publishing-forms/.
Alia-Novobilski, M. (2021, October). Fiscal Year 21 drives innovation, Readiness Across Command, enterprise. Air Force. Retrieved April 30, 2022, from https://www.af.mil/News/Article-Display/Article/2808220/fiscal-year-21-drives-innovation-readiness-across-command-enterprise/
Brickwood, K.-J., Watson, G., O'Brien, J., & Williams, A. D. (2019). Consumer-based wearable activity trackers increase physical activity participation: Systematic review and meta-analysis. JMIR MHealth and UHealth, 7(4).
View Article: https://doi.org/10.2196/11819
Carson, S. A., Fulton, J. E., Pratt, M., Yang, Z., & Adams, E. K. (2014). Inadequate physical activity and health care expenditures in the United States. Progress in Cardiovascular Diseases, 57, 315-323.
View Article: https://doi.org/10.1016/j.pcad.2014.08.002
Leonard, A. (2016, October 16). Four strikes and your Out. > Air Force Reserve Command > Feature Article. Retrieved November 29, 2021, from https://www.afrc.af.mil/News/Features/Display/Article/986848/four-strikes-and-youre-out/.
James, T. L., Wallace, L., & Deane, J. K. (2019). Using organismic integration theory to explore the associations between users' exercise motivations and fitness technology feature set use. MIS Quarterly, 43(1), 287–312.
View Article: https://doi.org/10.25300/misq/2019/14128
Lynch, C., Bird, S., Lythgo, N., & Selva-Raj, I. (2019). Changing the physical activity behavior of adults with fitness trackers: A systematic review and meta-analysis. American Journal of Health Promotion, 34(4), 418–430.
View Article: https://doi.org/10.1177/0890117119895204
Moran, M. (2006, October). Modern Military Force structures. Council on Foreign Relations. Retrieved from https://www.cfr.org/backgrounder/modern-military-force-structures
Pawl (2021) Air Force Demographics . Air Force Personnel Center. (2021, October 31). Retrieved November 28, 2021, from https://www.afpc.af.mil/About/Air-Force-Demographics/.
Pawlyk, O. (2017, August 8). 119 airmen failed the waist measurement test, and alternatives. Military Times. Retrieved November 28, 2021, from https://www.militarytimes.com/news/your-military/2014/09/12/119-airmen-failed-the-waist-measurement-test-and-alternatives/.
Pebley, K., Beauvais, A., Gladney, L. A., Kocak, M., Klesges, R. C., Hare, M., Richey, P. A., Johnson, K. C., Hryshko-Mullen, A., Talcott, G. W., & Krukowski, R. A. (2019). Weight loss intervention impact on the physical fitness test scores of Air Force Service members. Military Medicine, 185(5-6).
View Article: https://doi.org/10.1093/milmed/usz371
Pourzanjani, A., Quisel, T., & Foschini, L. (2016). Adherent use of digital health trackers is associated with weight loss. PLOS ONE, 11(4).
View Article: https://doi.org/10.1371/journal.pone.0152504
Vogels, E. A. (2020, August 14). About one-in-five Americans use a smart watch or fitness tracker. Pew Research Center. Retrieved November 28, 2021, from https://www.pewresearch.org/fact-tank/2020/01/09/about-one-in-five-americans-use-a-smart-watch-or-fitness-tracker/.
Wright, S. P., Hall Brown, T. S., Collier, S. R., & Sandberg, K. (2017). How consumer physical activity monitors could transform human physiology research. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 312(3).
View Article: https://doi.org/10.1152/ajpregu.00349.2016
Zhu, Y., Dailey, S. L., Kreitzberg, D., & Bernhardt, J. (2017). “social Networkout”: Connecting social features of wearable fitness trackers with physical exercise. Journal of Health Communication, 22(12), 974–980.
View Article: https://doi.org/10.1080/10810730.2017.1382617
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