Cadmus-Bertram, L, Marcus, BH, Patterson, RE, et al. (2015) Use of the Fitbit to measure adherence to a physical activity intervention among overweight or obese, postmenopausal women: self-monitoring trajectory during 16 weeks. JMIR Mhealth and Uhealth 3(4): e96. Google Scholar | Crossref | Medline
Chung, AD, Skinner, AC, Hasty, SE, et al. (2017) Tweeting to health: a novel mhealth intervention using Fitbits and twitter to foster healthy lifestyles. Clinical Pediatrics 56(1): 2632. Google Scholar | SAGE Journals | ISI
Clark, MI, Driller, MW (2020) University student’s perceptions of self-tracking devices, data privacy, and sharing digital data for research purposes. Journal for the Measurement of Physical Behaviour 3(2): 128134. Google Scholar | Crossref
Clark, MI, Thorpe, H (2020) Towards diffractive ways of knowing women’s moving bodies: a Baradian experiment with the Fitbit-Motherhood entanglement. Sociology of Sport Journal 37(1): 1226. Google Scholar | Crossref
Clawson, J, Pater, JA, Miller, AD, et al. (2015) No longer wearing: investigating the abandonment of personal health-tracking technologies on Craigslist. In: UbiComp ’15: Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing, September 2015, pp. 647658. DOI: 10.1145/2750858.2807554 Google Scholar | Crossref
Deleuze, G (1994) Difference and Repetition (P., Patton , trans.).(Original work published 1968). New York: Columbia University Press. Google Scholar
Depper, A, Howe, PD (2017) Are we fit yet? English adolescent girls’ experiences of health and fitness apps. Health Sociology Review: The Journal of the Health Section of the Australian Sociological Association 26(1): 98112. Google Scholar | Crossref
Didžiokaitė, G, Saukko, P, Greiffenhagen, C (2018) The mundane experience of everyday calorie trackers: beyond the metaphor of quantified self. New Media & Society 20(4): 14701487. Google Scholar | SAGE Journals | ISI
Doody, O, Slevin, E, Taggart, L (2013) Focus group interviews part 3: analysis. The British Journal of Nursing 22(5): 266269. Google Scholar | Crossref | Medline
Driller, MW, Dixon, ZT, Clark, MI (2017) Accelerometer-based sleep behavior and activity levels in student athletes in comparison to student non-athletes. Sport Sciences for Health 13(2): 411418. Google Scholar | Crossref
Epstein, DA, Kang, JH, Pina, LR, et al. (2016a) Reconsidering the device in the drawer: lapses as a design opportunity in personal informatics. In: UbiComp’16: Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing, September 2016, pp. 829840. DOI: 10.1145/2971648.2971656. Google Scholar | Crossref
Epstein, DA, Caraway, M, Johnston, C, et al. (2016b) Beyond abandonment to next steps: understanding and designing for life after personal informatics tool use. In: CHI’16: Proceedings of the 2016 CHI conference on human factors in computing systems, May 2016, pp. 11091113. DOI: 10.1145/2858036.2858045 Google Scholar | Crossref
Feng, S, Mäntymäki, M, Dhir, A, et al. (2021) How self-tracking and the quantified self promote health and well-being: systematic review. Journal of Medical Internet Research 239(9). e25171. Google Scholar | Crossref
Frers, L (2013) The matter of absence. Cultural Geographies 20(4): 431445. Google Scholar | SAGE Journals | ISI
Gardner, B, Lally, P, Wardle, J (2012) Making health habitual: the psychology of ‘habit-formation’ and general practice. The British Journal of General Practice: The Journal of the Royal College of General Practitioners 62(605): 664666. Google Scholar | Crossref | Medline
Gilmore, JN (2016) Everywear: The quantified self and wearable fitness technologies. New Media & Society 18(11): 25242539. Google Scholar | SAGE Journals | ISI
Gorm, NNS, Shklovski, I (2019) Episodic use: practices of care in self-tracking. New Media & Society 21(11–12): 25052521. Google Scholar | SAGE Journals | ISI
Grosz, E (2013) Habit today: Ravaisson, Bergson, Deleuze and us. Body & Society 19(2–3): 217239. Google Scholar | SAGE Journals | ISI
Guest, G, Namey, E, McKenna, K (2017) How many focus groups are enough? Building an evidence base for nonprobability sample sizes. Field Methods 29(1): 322. Google Scholar | SAGE Journals | ISI
Hand, M, Gorea, M (2018) Digital traces and personal analytics: iTime, self-tracking, and the temporalities of practice. International Journal of Communication Systems 12(0): 17. Google Scholar
Kristensen, DB, Ruckenstein, M (2018) Co-evolving with self-tracking technologies. New Media & Society 20(10): 36243640. Google Scholar | SAGE Journals | ISI
Krueger, RA (2014) Focus Groups: A Practical Guide for Applied Research. Thousand Oaks, CA: SAGE. Google Scholar
Kwon, M, Lee, J-Y, Won, W-Y, et al. (2013) Development and validation of a smartphone addiction scale (SAS). PLoS ONE 8(2): e56936. Google Scholar | Crossref | Medline
Lapworth, A (2015) Habit, art, and the plasticity of the subject: the ontogenetic shock of the bioart encounter. Cultural Geographies 22(1): 85102. Google Scholar | SAGE Journals | ISI
Lazar, A, Koehler, C, Tanenbaum, TJ, et al. (2015) Why we use and abandon smart devices. In: Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing, 7–11 September, Osaka, Japan, pp. 635646. Google Scholar | Crossref
Ledger, D (2014) Inside Wearables-Part 2. Endeavour Partners. Available at: http://endeavourpartners.net/assets/Endeavour-Partners-Inside-Wearables-Part-2-July-2014.pdf Google Scholar
Ledger, D, McCaffrey, D (2014) Inside Wearables: How the Science of Human Behavior Change Offers the Secret to Long-Term Engagement. Cambridge, MA: Endeavour Partners. Google Scholar
Lee, H, Lee, Y (2017) A look at wearable abandonment. In: 18th IEEE international conference on mobile data management (MDM), pp. 392393. DOI: 10.1109/MDM.2017.70 Google Scholar | Crossref
Light, B, Burgess, J, Duguay, S (2016) The walkthrough method: an approach to the study of apps. New Media & Society 20(7): 881900. Google Scholar
Lindlof, TR, Taylor, BC (2002) Qualitative Communication Research Methods. Thousand Oaks, CA: SAGE. Google Scholar
Losada Goya, JM (2012) The subversive triad: a theoretical approach. In: Losada Goya, JM, Ochoa, MG (eds) Myth and Subversion in the Contemporary Novel. Cambridge: Cambridge Scholars Publishing, pp. 312. Google Scholar
Lupton, D (2017a) Feeling your data: touch and making sense of personal digital data. New Media & Society 19(10): 15991614. Google Scholar | SAGE Journals | ISI
Lupton, D (2017b) Self-Tracking, Health and Medicine: Sociological Perspectives. London: Routledge. Google Scholar | Crossref
Lupton, D (2018a) ‘I just want it to be done, done, done!’ Food tracking apps, affects, and agential capacities. Multimodal Technologies and Interaction 2(2): 29. Google Scholar | Crossref
Lupton, D (2019) ‘It’s made me a lot more aware’: a new materialist analysis of health self-tracking. Media International Australia 171(1): 6679. Google Scholar | SAGE Journals | ISI
Lupton, D, Pink, S, Labond, CH, et al. (2018b) Data sense and self-tracking cycling. International Journal of Communication 12(19): 647665. Google Scholar
Lupton, D, Maslen, S (2018) The more-than-human sensorium: sensory engagements with digital self-tracking technologies. The Senses and Society 13(2): 190202. Google Scholar | Crossref
Lyall, B (2019) Fitness for sale: the value of self-tracking in secondhand exchange. The Information Society 35(3): 109121. Google Scholar | Crossref
Malabou, C (2008) Addiction and grace: preface to Félix Ravaisson’s of habit. In: Ravaisson, F, Carlisle, C, Sinclair, M (eds) On Habit. London: Continuum International Publishing Group, pp. vii–xx. Google Scholar
Merleau-Ponty, M (2005) Phenomenology of Perception (C., Smith , trans.). London: Routledge. Google Scholar
Millington, B (2018) Fitness, Technology and Society: Amusing Ourselves to Life. London: Routledge. Google Scholar
Nafus, D, Sherman, J (2014) This one does not go up to 11: the quantified self movement as an alternative big data practice. International Journal of Communication Systems 8: 17841794. Google Scholar
Neff, G, Nafus, D (2016) Self-Tracking. Cambridge, MA: MIT Press. Google Scholar | Crossref
Oulasvirta, A, Rattenbury, T, Ma, L, et al. (2011) Habits make smartphone use more pervasive. Personal and Ubiquitous Computing 16(1): 105114. Google Scholar | Crossref
Pantzar, M, Ruckenstein, M (2015) The heart of everyday analytics: emotional, material and practical extensions in self-tracking market. Consumption Markets & Culture 18(1): 92109. Google Scholar | Crossref | ISI
Patton, MQ (2015) Qualitative Research and Evaluation Methods. 4th ed. Thousand Oaks, CA: SAGE. Google Scholar
Peng, W, Li, L, Kononova, A, et al. (2021) Habit formation in wearable activity tracker use among older adults: Qualitative study. JMIR Mhealth and Uhealth 9(1): e22488. Google Scholar | Crossref | Medline
Pink, S, Horst, H, Postill, J, et al. (2016) Digital Ethnography: Principles and Practice. Thousand Oaks, CA: SAGE. Google Scholar
Ravaisson, F (2008) Of Habit (Carlisle, C., Sinclair, M. (eds. & trans.)). Original work published 1838). London: Continuum Books. Google Scholar
Rothfield, P (2013) Beyond habit, the cultivation of corporeal difference. Parrhesia 18: 100112. Google Scholar
Ruckenstein, M (2014) Visualized and interacted life: personal analytics and engagements with data doubles. Societies 4(1): 6884. Google Scholar | Crossref
Sanders, R (2017) Self-tracking in the digital era: biopower, patriarchy, and the new biometric body projects. Body & Society 23(1): 3663. Google Scholar | SAGE Journals | ISI
Saukko, P, Weedon, A (2020) Self-tracking of/and time: from technological to biographical and political temporalities of work and sitting. New Media & Society. Epub ahead of print 23 December. DOI: 10.1177/1461444820983324 Google Scholar | SAGE Journals
Scholl, S, Lahr-Kurten, M, Redepenning, M (2014) Considering the role of presence and absence in space constructions. Ethnography as methodology in human Geography. Historical Social Research 39(2(148)): 5167. Google Scholar
Sharon, T (2017) Self-tracking for health and the quantified self: re-Articulating autonomy, solidarity, and authenticity in an age of personalized healthcare. Philosophy & Technology 30(1): 93121. Google Scholar | Crossref
Sharon, T, Zandbergen, D (2017) From data fetishism to quantifying selves: self-tracking practices and the other values of data. New Media & Society 19(11): 16951709. Google Scholar | SAGE Journals | ISI
Shih, PC, Han, K, Poole, ES, et al. (2015) Use and adoption challenges of wearable activity trackers. In: Iconference proceedings 2015. Available at: http://www.ideals.illinois.edu/handle/2142/73649 Google Scholar
Smith, GJD, Vonthethoff, B (2017) Health by numbers? Exploring the practice and experience of datafied health. Health Sociology Review 26(1): 621. DOI: 10.1080/14461242.2016.1196600 Google Scholar | Crossref | ISI
Southerton, C, Taylor, E (2020) Habitual disclosure: Routine, affordance, and the ethics of young peoples social media data surveillance. Social Media + Society 6(2): 111. Google Scholar | SAGE Journals
Wang, JB, Cadmus-Bertram, LA, Natarajan, L, et al. (2015) Wearable sensor/device (Fitbit One) and SMS text-messaging prompts to increase physical activity in overweight and obese adults: A randomized controlled trial. Telemedicine Journal and E-health: The Official Journal of the American Telemedicine Association 21(10): 782792. Google Scholar | Crossref | Medline