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Developing and Testing an Application to Assess the Impact of Smartphone Usage on Well-Being and Performance Outcomes of Student-Athletes

  • Poppy DesClouds
  • Fedwa Laamarti
  • Natalie Durand-Bush
  • Abdulmotaleb El Saddik
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 721)

Abstract

This paper outlines the development and testing of a novel mobile research application, which was specifically conceptualized and produced for sport psychology research assessing the prevalence and impact of student-athletes’ smartphone usage. Research examining athletes’ use of smartphones within and related to sport is scarce. As well, the research pertaining to smartphone usage in similar domains (i.e., physical activity and exercise), has relied heavily on retrospective, self-report data to determine smartphone usage prevalence. This study takes a step toward leveraging the smartphone as a sport psychology research tool, and toward recognizing the potential impact of smartphone usage in the sport domain. Sport psychology and computer science researchers collaborated to conceptualize, develop, and test a specialized mobile application that remotely tracks objective, detailed, smartphone usage, in real-time, via the personal smartphones of five (n = 5) student-athlete participants. The application also allows for efficient administration, completion, and storage of demographic and self-report surveys on key psychosocial, behavioral, and performance variables in student athletics. The results of this pilot study highlight preliminary smartphone usage trends of student-athletes and some key psychosocial variables related to their well-being. As well, the results underscore the capabilities of the research app to be used as a sport psychology assessment tool in an upcoming longitudinal prospective study with 500 varsity athletes.

Keywords

Smartphones Mobile application Sport psychology Student-athletes 

References

  1. 1.
    Rosen, L., Samuel, A.: Conquering digital distraction. Harvard Bus. Rev. 93(6), 110–113 (2015)Google Scholar
  2. 2.
    Magen, H.: The relations between executive functions, media multitasking and polychronicity. Comput. Hum. Behav. 67, 1–9 (2017)CrossRefGoogle Scholar
  3. 3.
    Rosen, L.D., Carrier, L.M., Cheever, N.A.: Facebook and texting made me do it: media-induced task-switching while studying. Comput. Hum. Behav. 29, 948–958 (2013)CrossRefGoogle Scholar
  4. 4.
    Steeves, V.: Young Canadians in a Wired World, Phase III: Life Online. MediaSmarts, Ottawa (2014). http://mediasmarts.ca/ycww
  5. 5.
    Collins, L., Ellis, S.R.: Mobile Devices: Tools and Technologies. CRC Press, Boca Raton (2015)CrossRefGoogle Scholar
  6. 6.
    Lookout Mobile Security: Mobile Mindset Study. Lookout, Inc., San Francisco (2012)Google Scholar
  7. 7.
    Bentley, F., Church, K., Harrison, B., Lyons, K., Rafalow, M.: Three hours a day: understanding current teen practices of smartphone application use. arXiv:1510.05192 (2015)
  8. 8.
    Dubuc-Charbonneau, N., Durand-Bush, N.: Moving to action: the effects of a self-regulation intervention on the stress, burnout, well-being, and self-regulation capacity levels of university student-athletes. J. Clin. Sport Psychol. 9, 173–192 (2015)CrossRefGoogle Scholar
  9. 9.
    Watt, S., Moore, J., Howard-Hamilton, M.: Who are student-athletes? New Dir. Stud. Serv. 2001(93), 7–18 (2001)Google Scholar
  10. 10.
    Adlaf, E.M., Demers, A., Gliksman, L.: Canadian Campus Survey 2004. Centre for Addiction and Mental Health, Toronto (2005)Google Scholar
  11. 11.
    Dubuc-Charbonneau, N., Durand-Bush, N., Forneris, T.: Exploring levels of student athlete burnout at two Canadian Universities. Can. J. High. Educ. 44(2), 135–151 (2014)Google Scholar
  12. 12.
    Hofer, J., Busch, H., Kärtner, J.: Self-regulation and well-being: the influence of identity and motives. Eur. J. Pers. 25, 211–224 (2011)CrossRefGoogle Scholar
  13. 13.
    Gould, D., Whitley, M.A.: Sources and consequences of athletic burnout among college athletes. J. Intercoll. Sports 2, 16–30 (2009)CrossRefGoogle Scholar
  14. 14.
    Watson, J.C., Kissinger, D.B.: Athletic participation and wellness: implications for counseling college student-athletes. J. Coll. Couns. 10(2), 153–162 (2007)CrossRefGoogle Scholar
  15. 15.
    Durand-Bush, N., McNeil, K., Harding, M., Dobransky, J.: Investigating stress, psychological well-being, mental health functioning, and self-regulation capacity among university undergraduate students: is this population optimally functioning? Can. J. Couns. Psychother. 49(3), 253–274 (2015)Google Scholar
  16. 16.
    Park, C.L., Edmondson, D., Lee, J.: Development of self-regulation abilities as predictors of psychological adjustment across the first year of college. J. Adult Dev. 19, 40–49 (2012)CrossRefGoogle Scholar
  17. 17.
    Angster, A., Frank, M., Lester, D.: An exploratory study of students’ use of cell phones, texting, and social networking sites. Psychol. Rep. 107(2), 402–404 (2010)CrossRefGoogle Scholar
  18. 18.
    Green, E., Singleton, C.: Mobile connections: an exploration of the place of mobile phones in friendship relations. Sociol. Rev. 57(1), 125–144 (2009)CrossRefGoogle Scholar
  19. 19.
    Ling, R.: Mobile communications vis-à-vis teen emancipation, peer group integration and deviance. In: Harper, R., Taylor, A., Palen, L. (eds.) The Inside Text: Social Perspectives on SMS in the Mobile Age, pp. 175–189. Springer, Norwell (2005).  https://doi.org/10.1007/1-4020-3060-6_10CrossRefGoogle Scholar
  20. 20.
    Rau, P.L.P., Gao, Q., Wu, L.M.: Using mobile communication technology in high school education: motivation, pressure, and learning performance. Comput. Educ. 50, 1–22 (2008)CrossRefGoogle Scholar
  21. 21.
    Young, N.: The Virtual Self: How Our Digital Lives are Altering the World Around Us. McClelland & Stewart, Toronto (2012)Google Scholar
  22. 22.
    Cleary, T.J., Zimmerman, B.J.: Self-regulation differences during athletic practice by experts, non-experts, and novices. J. Appl. Sport Psychol. 13, 185–206 (2001)CrossRefGoogle Scholar
  23. 23.
    Collins, J., Durand-Bush, N.: Enhancing the cohesion and performance of an elite curling team through a self-regulation intervention. Int. J. Sports Sci. Coach. 5(3), 343–362 (2010)CrossRefGoogle Scholar
  24. 24.
    Goudas, M., Kolovelonis, A., Dermitzaki, I.: Implementation of self-regulation interventions in physical education and sports contexts. In: Bembenutty, H., Cleary, T., Kitsantas, A. (eds.) Applications of Self-regulated Learning across Diverse Disciplines: A Tribute to Barry J. Zimmerman, pp. 383–416. Information Age, Greenwich (2013)Google Scholar
  25. 25.
    Jonker, L., Elferink-Gemser, M.T., Visscher, C.: Differences in self-regulatory skills among talented athletes: the significance of competitive level and type of sport. J. Sports Sci. 28(8), 901–908 (2010)CrossRefGoogle Scholar
  26. 26.
    Kermarrec, G., Pasco, D.: Self-regulation, training and performance. In: Chang, C. (ed.) Handbook of Sports Psychology, pp. 297–313. Nova Science Publishers, New York (2009)Google Scholar
  27. 27.
    Toering, T., Elferink-Gemser, M., Jordet, G., Jorna, C., Pepping, G.J., Visscher, C.: Self-regulation of practice behavior among elite youth soccer players: an exploratory observation study. J. Appl. Sport Psychol. 23, 110–128 (2011)CrossRefGoogle Scholar
  28. 28.
    Elhai, J.D., Levine, J.C., Dvorak, R.D., Hall, B.J.: Non-social features of smartphone use are most related to depression, anxiety and problematic smartphone use. Comput. Hum. Behav. 69, 75–82 (2017)CrossRefGoogle Scholar
  29. 29.
    Roberts, J.A., Yaya, L., Manolis, C.: The invisible addiction: cell-phone activities and addiction among male and female college students. J. Behav. Addict. 3(4), 254–265 (2014)CrossRefGoogle Scholar
  30. 30.
    Tzavela, E.C., Macromati, F.M.: Online social networking in adolescence: associations with development, well-being and internet addictive behaviours. Int. J. Adolesc. Health 6(4), 411–420 (2013)Google Scholar
  31. 31.
    Barr, N., Pennycook, G., Stolz, J.A., Fugelsang, J.A.: The brain in your pocket: evidence that smartphones are used to supplant thinking. Comput. Hum. Behav. 48, 473–480 (2015)CrossRefGoogle Scholar
  32. 32.
    Thornton, B., Faires, A., Robbins, M., Rollins, E.: The mere presence of a cell phone may be distracting: implications for attention and task performance. Soc. Psychol. 45(6), 479–488 (2014)CrossRefGoogle Scholar
  33. 33.
    Rosen, L.D., Whaling, K., Rab, S., Carrier, L.M., Cheever, N.A.: Is Facebook creating “iDisorders”? The link between clinical symptoms of psychiatric disorders and technology use, attitudes and anxiety. Comput. Hum. Behav. 29, 1243–1254 (2013)CrossRefGoogle Scholar
  34. 34.
    Skierkowski, D., Wood, R.M.: To text or not to text? The importance of text messaging among college-aged youth. Comput. Hum. Behav. 28, 744–756 (2012)CrossRefGoogle Scholar
  35. 35.
    Elhai, J.D., Dvorak, R.D., Levine, J.C., Hall, B.J.: Problematic smartphone use: a conceptual overview and systematic review of relations with anxiety and depression psychopathology. J. Affect. Disord. 207, 251–259 (2017)CrossRefGoogle Scholar
  36. 36.
    Knapton, S.: High-fliers at risk of isolation and depression from internet addiction. The Telegraph. http://www.telegraph.co.uk/news/health/news/10557025/High-fliers-at-risk-of-isolation-and-depression-from-internet-addiction.html#disqus_thread. Accessed 15 Sep 2017
  37. 37.
    Oberst, U., Wegmann, E., Stodt, B., Brand, M., Chamarro, A.: Negative consequences from heavy social networking in adolescents: the mediating role of fear of missing out. J. Adolesc. 55, 51–60 (2017)CrossRefGoogle Scholar
  38. 38.
    Lau, W.F.: Effects of social media usage and social media multitasking on the academic performance of university students. Comput. Hum. Behav. 68, 286–291 (2017)CrossRefGoogle Scholar
  39. 39.
    Boak, A., Hamilton, H.A., Adlaf, E.M., Henderson, J.L., Mann, R.E.: The mental health and well-being of Ontario students, 1991–2015: detailed OSDUHS findings (CAMH Research Document Series No. 43). Centre for Addiction and Mental Health, Toronto (2015)Google Scholar
  40. 40.
    Encel, K., Mesango, C., Brown, H.: Facebook and its relationship with sport anxiety. J. Sports Sci. 35(8), 756–761 (2017)CrossRefGoogle Scholar
  41. 41.
    Heron, K.E., Smyth, J.M.: Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br. J. Health. Psychol. 15, 1–39 (2011)CrossRefGoogle Scholar
  42. 42.
    Holtz, B., Buis, L.: Effectively promoting healthy living and behaviours through mobile phones. In: Ahmed, R., Bates, B.R. (eds.) Health Communication and Mass Media: An Integrated Approach to Policy and Practice, pp. 99–114. Routledge, New York (2013)Google Scholar
  43. 43.
    DesClouds, P., Durand-Bush, N.: A scoping review: what is the impact of mobile communication devices on youth in sport and physical activity settings? (2017, Manuscript in preparation)Google Scholar
  44. 44.
    Durand-Bush, N., DesClouds, P.: Self-regulation for the Enhancement of Performance and Well-Being (SEWP) Scale (2016, Unpublished)Google Scholar
  45. 45.
    Feldman, G., Hayes, A., Kumar, S., Greeson, J., Laurenceau, J.P.: Mindfulness and emotion regulation: The development and initial validation of the cognitive and affective mindfulness scale - revised (CAMS-R). J. Psychopathol. Behav. Assess. 29(3), 177–190 (2007)CrossRefGoogle Scholar
  46. 46.
    Hewitt, P.L., Flett, G.L., Sherry, S.B., Habke, M., Parkin, M., Lam, R.W., et al.: The interpersonal expression of perfection: perfectionistic self-presentation and psychological distress. J. Pers. Soc. Psychol. 84(6), 1303–1325 (2003)CrossRefGoogle Scholar
  47. 47.
    Lee, S., Quigley, B.M., Nesler, M.S., Corbett, A.B., Tedeschi, J.T.: Development of a self-presentation tactics scale. Personality Individ. Differ. 26, 701–722 (1999)CrossRefGoogle Scholar
  48. 48.
    Zimmerman, B.J.: Attaining self-regulation: A social cognitive perspective. In: Boekaerts, M., Pintrich, P.R., Zeidner, M. (eds.) Handbook of Self-regulation, pp. 13–39. Academic Press, San Diego (2000)CrossRefGoogle Scholar
  49. 49.
    Cohen, S., Kamarak, T., Mermelstein, R.: A global measure of perceived stress. J. Health Soc. Behav. 24(4), 385–396 (1983)CrossRefGoogle Scholar
  50. 50.
    Chen, G., Gully, S.M., Eden, D.: Validation of a new general self-efficacy scale. Organ. Res. Methods 4(1), 62–83 (2001)CrossRefGoogle Scholar
  51. 51.
    Keyes, C.L.M., Wissing, M., Potgieter, J.P., Temane, M., Kruger, A., van Rooy, S.: Evaluation of the mental health continuum-short form (MHC-SF) in Setswana-speaking South Africans. Clin. Psychol. Psychother. 15, 181–192 (2008)CrossRefGoogle Scholar
  52. 52.
    Gierveld, J.D., Tilburg, T.V.: A 6-item scale for overall, emotional, and social loneliness: confirmatory tests on survey data. Res. Aging 28(5), 582–598 (2006)CrossRefGoogle Scholar
  53. 53.
    COMSA-R2 (Communication Skills Assessment): Psychometric Report. PsychTests AIM, Inc. (2014)Google Scholar
  54. 54.
    Lamers, S.M., Westerhof, G.J., Bohlmeijer, E.T., ten Klooster, P.M., Keyes, C.L.: Evaluating the psychometric properties of the mental health continuum-short form (MHC-SF). J. Clin. Psychol. 67(1), 99–110 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Poppy DesClouds
    • 1
  • Fedwa Laamarti
    • 2
  • Natalie Durand-Bush
    • 1
  • Abdulmotaleb El Saddik
    • 2
  1. 1.SEWPLab, School of Human KineticsUniversity of OttawaOttawaCanada
  2. 2.MCRLab, School of Electrical Engineering and Computer ScienceUniversity of OttawaOttawaCanada

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