Smartphones are omnipresent and indispensable in today’s society. Research in psychology and education points to both helpful and detrimental implications of smartphone usage for performance and well-being. Competitive and high-performance athletes represent a subsection of a demographic deeply intrenched in smartphone usage, yet few studies have shed light on the impact of smartphones usage in athletes’ lives. The overarching aim of this research was to advance knowledge on athletes’ use of smartphones. The mixed methods research program, with sequential pacing and qualitative priority, was informed by a critical realist paradigm. Data were collected through focus groups, remote tracking and surveys, and individual interviews with competitive and high-performance athletes. The research culminated in four distinct but related studies and four articles.
The purpose of Study 1 was to qualitatively investigate varsity athletes’ lived experiences with smartphones. Five focus groups were conducted with a sample of 21 varsity athletes (9 men, 12 women) representing nine different sports (i.e., track and field, basketball, rowing, fencing, Nordic ski, rugby, swimming, lacrosse, and soccer). The inductive and reflexive thematic analysis led to the creation of three main themes. The first theme pertained to general usage experiences (i.e., characteristics of usage, awareness and nature of usage, restrictions of usage), revealing that social media is a focal point of athletes’ usage. The other two themes concerned athletes’ concurrent experiences of negative (i.e., stress, distraction, disengagement) and positive (i.e., self-regulation, social connectedness) smartphone usage. The majority of varsity athletes (81%) self-identified as moderate or heavy smartphone users, and relied on their devices throughout the day for communication and self-management. Findings suggest that smartphone usage exists along a continuum of negative/unhelpful to positive/helpful usage rather than as distinct “good” or “bad” usage. Usage is complex and often paradoxical for sport preparation, performance, recovery, and well-being.
The purpose of Study 2 was to develop and pilot test a novel research application designed to examine, in an ecologically valid way, the prevalence and features of smartphone usage among a sample of athletes, in tandem with a selection of psychosocial variables. An interdisciplinary research team was formed to create the mobile research application and measure its tracking ability and accuracy to inform Study 3. The smartphone usage of five (n = 5) studentathletes was tracked in real-time over a 15-day period. Participants also completed a mobile self-report survey on psychosocial variables deemed important to athletes’ performance and wellbeing (i.e., mindfulness, mental health, and self-regulation). Results of the pilot study demonstrated a sizable range in total hours of smartphone usage, with an average of 31.1 hours per week, predominantly for social media. Real-time smartphone usage averages surpassed athletes’ self-reported time spent studying (20h per week) and training for sport (11.4h per week). All participants reported moderate-to-high self-regulation capacity, mindfulness, and mental health. The pilot study provided proof of feasibility for a longitudinal study using the research application and methods. It afforded the opportunity to make technical adjustments based on participant feedback, enhance usability and ecological validity, and subject the data to preliminary algorithms to extract detailed information from a large data pool.
Building on Study 2, the purpose of Study 3 was to investigate the prevalence and features of competitive student-athletes’ smartphone usage and psychosocial outcomes using a longitudinal in vivo design. Over the course of one year, student-athletes’ smartphone usage was automatically tracked via the mobile app they installed on their phone and they also completed a self-report survey through the app on a monthly basis to assess self-regulation, mindfulness, mental health, stress, loneliness, and perfectionistic self-presentation. Although 20 participants volunteered to complete the study, only 10 participants consistently completed the survey and were retained in the final dataset. Descriptive analyses showed that the student-athletes used their smartphones for an average of 24.15 hours per week, predominantly for social media, and they formed two distinct user groups (i.e., heavy and light usage). Psychosocial profiles revealed they had moderate-to-high psychosocial functioning and highly nuanced changes in psychosocial outcomes and usage over time. There were no significant relationships between amount of smartphone usage and psychosocial outcomes, except for one positive relationship between usage and mental health in the winter. Findings support a new wave of literature deemphasizing a simple negative relationship between smartphone usage and psychosocial outcomes, and encourage further study of individual characteristics, such as purpose of usage. This study illustrates that although it is resource intensive, it is feasible to leverage the smartphone as an in vivo research tool to collect complex, ecologically valid usage data in tandem with psychosocial self-reports. It lays a foundation for larger-scale studies to assess the impact of athletes’ usage on their psychosocial functioning.
The purpose of Study 4 was to qualitatively examine the self-regulatory processes, conditions, and outcomes related to the smartphone usage of competitive and high-performance athletes, and to postulate a model to inform research and applied practice in this area. Guided by the results of the previous studies showing prevalent social media usage among athletes, Study 4 also furthered explored athletes’ use of social media. Twenty-four (n = 24) competitive and highperformance athletes from eight different sports participated in individual, in-depth interviews. A directed content analysis, informed by the models of self-regulated learning and self-regulatory strength, was performed to analyze the data. While many themes aligned with components of both or either self-regulation models, new themes were generated. To account for all the data and explain athletes’ smartphone usage in and around the sport setting, the “Self-regulation and Smartphone Usage Model” (SSUM) was created. The SSUM includes five broad components: (a) self-regulation capacity, (b) self-regulation processes, (c) conditions (i.e., context of usage, type of usage, awareness of usage, autonomy of usage, and concurrence of usage), (d) outcomes, and (e) self-regulation competencies. Findings support a paradoxical relationship between smartphone usage and self-regulation. On the one hand, athletes use their smartphones to engage and master helpful self-regulation processes and on the other, they face increased self-regulatory demands because of their smartphones—particularly social media—which can lead to self-regulatory depletion.
Overall, the current research sheds light on a new facet of competitive athletes’ livesthe smartphone. It underscores a deeply individualized, nuanced relationship between athletes and their phones, regardless of age, sex, type of sport, or competitive level. These devices can both inhibit and facilitate self-regulation and influence performance and well-being. Regardless of the purpose of usage, smartphones must be effectively managed. Thus, athletes must develop self-regulatory competencies specifically for this tool. This research shows the value of tracking real-time usage of phones and provides a conceptual map for working with athletes to leverage the benefits of smartphone technology.
| Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/43829 |
| Date | 20 July 2022 |
| Creators | DesClouds, Poppy |
| Contributors | Durand-Bush, Natalie |
| Publisher | Université d'Ottawa / University of Ottawa |
| Source Sets | Université d’Ottawa |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
Page generated in 0.0024 seconds