“I just want to keep in touch”: Adolescents’ experiences with leisure-related smartphone use

References

• Adler, R. F., & Benbunan-Fich, R. (2013). Self-interruptions in discretionary multitasking. Computers in Human Behavior, 29(4), 1441–1449. doi:10.1016/j.chb.2013.01.040
   Web of Science ®Google Scholar
• Barker, V. (2009). Older adolescents’ motivations for social network site use: The influence of gender, group identity, and collective self-esteem. Cyberpsychology & Behavior, 12(2), 209–213. doi:10.1089/cpb.2008.0228
   PubMedGoogle Scholar
• Barkley, J. E., & Lepp, A. (2016). Mobile phone use among college students is a sedentary leisure behavior which may interfere with exercise. Computers in Human Behavior, 56, 29–33. doi:10.1016/j.chb.2015.11.001
   Web of Science ®Google Scholar
• Bartko, W. T., & Eccles, J. S. (2003). Adolescent participation in structured and unstructured activities: A person-oriented analysis. Journal of Youth and Adolescence, 32(4), 233–242. doi:10.1023/A:1023056425648
   Web of Science ®Google Scholar
• Biolcati, R., Mancini, G., & Trombini, E. (2018). Proneness to boredom and risk behaviors during adolescents’ free time. Psychological Reports, 121(2), 303–323. doi:10.1177/0033294117724447
   PubMed Web of Science ®Google Scholar
• Blakemore, S. J., & Mills, K. L. (2014). Is adolescence a sensitive period for sociocultural processing? Annual Review of Psychology, 65(1), 187–207. doi:10.1146/annurev-psych-010213-115202
   PubMed Web of Science ®Google Scholar
• Caldwell, L. L. (2016). Youth and leisure. In G. J. Walker, D. Scott, & M. Stodolska (Eds.), Leisure matters (pp. 181–189). State College, PA: Venture Publishing, Inc.
   Google Scholar
• Caldwell, L. L. (2018). Growing up slower with fast-forward and like buttons. In P. A. Witt & L. L. Caldwell (Eds.), Youth development principles and practices in out-of-school settings (pp. 57–85). State College, PA: Sagamore-Venture Publishing, Inc.
   Google Scholar
• Caldwell, L., & Faulk, M. (2013). Adolescent leisure from a developmental and prevention perspective. In T. Freire (Ed.), Positive leisure science (pp. 41–60). New York, NY: Springer.
   Google Scholar
• Côté, J., & Erickson, K. (2015). Diversification and deliberate play during the sampling years. In J. Baker & D. Farrow (Eds.), Routledge handbook of sport expertise (pp. 305–316). London, UK: Routledge.
   Google Scholar
• Coutinho, P., Mesquita, I., Davids, K., Fonseca, A. M., & Côté, J. (2016). How structured and unstructured sport activities aid the development of expertise in volleyball players. Psychology of Sport and Exercise, 25, 51–59. doi:10.1016/j.psychsport.2016.04.004
   Web of Science ®Google Scholar
• Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches. Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Crone, E. A., & Konijn, E. A. (2018). Media use and brain development during adolescence. Nature Communications, 9(1), 588. doi:10.1038/s41467-018-03126-x
   PubMed Web of Science ®Google Scholar
• Csikszentmihalyi, M. (1997). Finding flow: The psychology of engagement with everyday life. New York, NY: Basic Books.
   Google Scholar
• Denault, A. S., & Poulin, F. (2008). Associations between interpersonal relationships in organized leisure activities and youth adjustment. The Journal of Early Adolescence, 28(4), 477–502. doi:10.1177/0272431608317607
   Web of Science ®Google Scholar
• Eccles, J. S., Barber, B. L., Stone, M., & Hunt, J. (2003). Extracurricular activities and adolescent development. Journal of Social Issues, 59(4), 865–889. doi:10.1046/j.0022-4537.2003.00095.x
   Web of Science ®Google Scholar
• Elkins, D. (2003). The overbooked child: Are we pushing our kids too hard? Psychology Today, 36(1), 64–69.
   Google Scholar
• eMarketer. (2016). In Canada, children and teens have an affinity for digital tools. Retrieved October 11, 2018, from https://www.emarketer.com/Article/Canada-Children-Teens-Have-Affinity-Digital-Tools/1013816
   Google Scholar
• eMarketer. (2017). Smartphone penetration rate as share of the population in the United States from 2010 to 2021. In Statista – The Statistics Portal. Retrieved October 11, 2018, from https://www.statista.com/statistics/201183/forecast-of-smartphone-penetration-in-the-us/
   Google Scholar
• Farmer, R., & Sundberg, N. D. (1986). Boredom proneness: The development and correlates of a new scale. Journal of Personality Assessment, 50(1), 4–17.
   PubMed Web of Science ®Google Scholar
• Fennell, C., Barkley, J. E., & Lepp, A. (2019). The relationship between cell phone use, physical activity, and sedentary behavior in adults aged 18–80. Computers in Human Behavior, 90, 53–59. doi:10.1016/j.chb.2018.08.044
   Web of Science ®Google Scholar
• Foley, C., Holzman, C., & Wearing, S. (2007). Moving beyond conspicuous leisure consumption: Adolescent women, mobile phones and public space. Leisure Studies, 26(2), 179–192. doi:10.1080/02614360500418555
   Google Scholar
• Gergen, K. J. (2002). The challenge of absent presence. In J. Katz, & M. Aakhus (Eds.), Perpetual contact: Mobile communication, private talk, public performance (pp. 227–241). Cambridge, MA: Cambridge University Press.
   Google Scholar
• Haight, M., Quan-Haase, A., & Corbett, B. A. (2014). Revisiting the digital divide in Canada: The impact of demographic factors on access to the internet, level of online activity, and social networking site usage. Information, Communication & Society, 17(4), 503–519. doi:10.1080/1369118X.2014.891633
   Web of Science ®Google Scholar
• Hutchinson, S., & Kleiber, D. (2005). Gifts of the ordinary: Casual leisure’s contribution to health and well-being. World Leisure Journal, 43(3), 2–16. doi:10.1080/04419057.2005.9674401
   Google Scholar
• Iso-Ahola, S. E., & Weissinger, E. (1990). Perceptions of boredom in leisure: Conceptualization, reliability and validity of the Leisure Boredom Scale. Journal of Leisure Research, 22(1), 1–17. doi:10.1080/00222216.1990.11969811
   Web of Science ®Google Scholar
• Junco, R., & Cotten, S. R. (2012). No A 4 U: The relationship between multitasking and academic performance. Computers & Education, 59, 505–514. doi:10.1016/j.compedu.2011.12.023
   Web of Science ®Google Scholar
• Karapanos, E., Teixeira, P., & Gouveia, R. (2016). Need fulfillment and experiences on social media: A case on Facebook and WhatsApp. Computers in Human Behavior, 55, 888–897. doi:10.1016/j.chb.2015.10.015
   Web of Science ®Google Scholar
• Konijn, E. A., Veldhuis, J., Plaisier, X. S., Spekman, M., & den Hamer, A. (2015). Adolescent development and psychological mechanisms in interactive media use. In S. Sundar (Ed.), The handbook of psychology of communication technology (pp. 332–364). Hoboken, NJ: Wiley-Blackwell.
   Google Scholar
• Larson, R. W. (2000). Toward a psychology of positive youth development. American Psychologist, 55(1), 170–183. doi:10.1037/0003-066X.55.1.170
   PubMed Web of Science ®Google Scholar
• Larson, R., & Richards, M. (1991). Boredom in the middle school years: Blaming schools versus blaming students. American Journal of Education, 99(4), 418–443. doi:10.1086/443992
   Web of Science ®Google Scholar
• Larson, R. W., & Verma, S. (1999). How children and adolescents spend time across the world: Work, play, and developmental opportunities. Psychological Bulletin, 125(6), 701–736. doi:10.1037//0033-2909.125.6.701
   PubMed Web of Science ®Google Scholar
• Lepp, A. (2014). The intersection of cell phone use and leisure. Journal of Leisure Research, 46(2), 218–225. doi:10.1080/00222216.2014.11950321
   Web of Science ®Google Scholar
• Lepp, A., Barkley, J. E., & Karpinski, A. C. (2014). The relationship between cell phone use, academic performance, anxiety and satisfaction with life in college students. Computers in Human Behavior, 31, 343–350. doi:10.1016/j.chb.2013.10.049
   Web of Science ®Google Scholar
• Lepp, A., Barkley, J. E., & Li, J. (2017). Motivations and experiential outcomes associated with leisure time cell phone use: Results from two independent studies. Leisure Sciences, 39(2), 144–162. doi:10.1080/01490400.2016.1160807
   Web of Science ®Google Scholar
• Lepp, A., Li, J., Barkley, J. E., & Salehi-Esfahani, S. (2015). Exploring the relationships between college students’ cell phone use, personality and leisure. Computers in Human Behavior, 43, 210–219. doi:10.1016/j.chb.2014.11.006
   Web of Science ®Google Scholar
• Mahoney, J. L., Harris, A. L., & Eccles, J. S. (2006). Organized activity participation, positive youth development, and the over-scheduled hypothesis. Society forResearch on Child Development: Social Policy Report: Giving Child and Youth Development Knowledge Away, 20, 3–25. doi:10.1002/j.2379-3988.2006.tb00049.x
   Google Scholar
• Mahoney, J. L., Larson, R. W., & Eccles, J. S. (2005). Organized activities as contexts of development: Extracurricular activities, after-school and community programs. Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Mercer-Lynn, K. B., Bar, R. J., & Eastwood, J. D. (2014). Causes of boredom: The person, the situation, or both? Personality and Individual Differences, 56(1), 122–126. doi:10.1016/j.paid.2013.08.034
   Web of Science ®Google Scholar
• Mikulas, W. L., & Vodanovich, S. J. (1993). The essence of boredom. The Psychological Record, 43(1), 3–12.
   Web of Science ®Google Scholar
• Nimrod, G. (2016). The roles technology plays in twenty-first century leisure. In G. J. Walker, D. Scott, & M. Stodolska (Eds.), Leisure matters: The state and future of leisure studies (pp. 256–267). State College, PA: Venture Publishing, Inc.
   Google Scholar
• Odgers, C. (2018). Smartphones are bad for some teens, not all. Nature, 555(7698), 432–580. doi:10.1038/d41586-018-02109-8
   Web of Science ®Google Scholar
• Oncescu, J. (2015). Rural restructuring and its impact on community recreation opportunities. Annals of Leisure Research, 18(1), 83–104. doi:10.1080/11745398.2014.980834
   Web of Science ®Google Scholar
• Pew Research Center. (2018). March 7–April 10, 2018 – teens, social media and technology 2018. Retrieved from http:///www.pewinternet.org/wp-content/uploads/sites/9/2018/05/PI_2018.05.31_TeensTech_FINAL.pdf
   Google Scholar
• Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. doi:10.1016/j.chb.2013.02.014
   Web of Science ®Google Scholar
• Ragheb, M. G., & Merydith, S. P. (2001). Development and validation of a multidimensional scale measuring free time boredom. Leisure Studies, 20(1), 41–59. doi:10.1080/02614360122569
   Google Scholar
• Säfvenbom, R., Wheaton, B., & Agans, J. P. (2018). ‘How can you enjoy sports if you are under control by others?’ Self-organized lifestyle sports and youth development. Sport in Society, 21(12), 1990–2009. doi:10.1080/17430437.2018.1472242
   Web of Science ®Google Scholar
• Scales, P. C. (2010). Characteristics of young adolescents. In National Middle School Association (Ed.), This we believe: Keys to educating young adolescents (pp. 63–62). Westerville, OH: National Middle School Association.
   Google Scholar
• Sharp, E. H., Tucker, C. J., Baril, M. E., Van Gundy, K. T., & Rebellon, C. J. (2015). Breadth of participation in organized and unstructured leisure activities over time and rural adolescents’ functioning. Journal of Youth and Adolescence, 44(1), 62–76. doi:10.1007/s10964-014-0153-4
   PubMed Web of Science ®Google Scholar
• Sherman, L. E., Payton, A. A., Hernandez, L. M., Greenfield, P. M., & Dapretto, M. (2016). The power of the like in adolescence: Effects of peer influence on neural and behavioral responses to social media. Psychological Science, 27(7), 1027–1035. doi:10.1177/0956797616645673
   PubMed Web of Science ®Google Scholar
• Shin, K., & You, S. (2013). Leisure type, leisure satisfaction and adolescents’ psychological wellbeing. Journal of Pacific Rim Psychology, 7(2), 53–62. doi:10.1017/prp.2013.6
   Web of Science ®Google Scholar
• Snellman, K., Silva, J. M., & Putnam, R. D. (2015). Inequity outside the classroom: Growing class differences in participation in extracurricular activities. Voices in Urban Education, 40, 7–14.
   Google Scholar
• Stebbins, R. A. (1997). Casual leisure: A conceptual statement. Leisure Studies, 16(1), 17–25. doi:10.1080/026143697375485
   Google Scholar
• Steeves, V. (2014). Young Canadians in a wired world, phase III: Trends and recommendations. Ottawa, ON: MediaSmarts.
   Google Scholar
• Thornton, B., Faires, A., Robbins, M., & Rollins, E. (2014). The mere presence of a cell phone may be distracting. Social Psychology, 45(6), 479–488. doi:10.1027/1864-9335/a000216
   Web of Science ®Google Scholar
• Toh, S. H., Howie, E. K., Coenen, P., Straker, L. M. (2019). “From the moment I wake up I will use it… every day, very hour”: A qualitative study on the patterns of adolescents’ mobile touch screen device use from adolescent and parent perspectives. BMC Pediatrics, 19(1), 30. doi:10.1186/s12887-019-1399-5
   PubMed Web of Science ®Google Scholar
• Twenge, J. M. (2017). iGen: Why today’s super-connected kids are growing up less rebellious, more tolerant, less happy – and completely unprepared for adulthood – and what that means for the rest of us. New York, NY: Simon and Schuster.
   Google Scholar
• U.S. Bureau of Labor Statistics. (2019). Time spent in leisure and sports activities for civilian population by selected characteristics, averages per day, 2018 annual averages. Retrieved from https://www.bls.gov/news.release/atus.t11a.htm
   Google Scholar
• Valkenburg, P. M., & Piotrowski, J. T. (2017). Plugged in: How media attract and affect youth. New Haven, CT: Yale University Press.
   Google Scholar
• van Manen, M. (1997). Researching lived experiences: Human science for an action sensitive pedagogy (2nd Ed.). London, UK: The Althouse Press.
   Google Scholar
• Veldhuis, J., Konijn, E. A., & Seidell, J. C. (2014). Counteracting media’s thin-body ideal for adolescent girls: Informing is more effective than warning. Media Psychology, 1, 1–31. doi:10.1080/15213269.2013.788327
   Web of Science ®Google Scholar
• Ward, A. F., Duke, K., Gneezy, A., & Bos, M. W. (2017). Brain drain: The mere presence of one’s own smartphone reduces available cognitive capacity. Journal of the Association for Consumer Research, 2(2), 140–154.
   Google Scholar
• West, J. H., Hall, P. C., Hanson, C. L., Barnes, M. D., Giraud-Carrier, C., & Barrett, J. (2012). There’s an app for that: Content analysis of paid health and fitness apps. Journal of Medical Internet Research, 14(3), e72.
   PubMed Web of Science ®Google Scholar
• Weybright, E. H., Caldwell, L. L., Ram, N., Smith, E. A., & Wegner, L. (2015). Boredom prone or nothing to do? Distinguishing between state and trait leisure boredom and its association with substance use in South African adolescents. Leisure Sciences, 37(4), 311–331. doi:10.1080/01490400.2015.1014530
   PubMed Web of Science ®Google Scholar
• Yang, S. Y., Lin, C. Y., Huang, Y. C., & Chang, J. H. (2018). Gender differences in the association of smartphone use with the vitality and mental health of adolescent students. Journal of American College Health, 66(7), 693–701. doi:10.1080/07448481.2018.1454930
   PubMed Web of Science ®Google Scholar
• Yau, J. C., & Reich, S. M. (2018). Are the qualities of adolescents’ offline friendships present in digital interactions? Adolescent Research Review, 3(3), 339–355. doi:10.1007/s40894-017-0059-y
   Web of Science ®Google Scholar