• Login
  • Register
  • Search

Self-tracking of Exercise and Sleep Quality

Jue Wang

Abstract


In the fast-paced life era, managing personal health, especially sleep, is paramount. However, due to reasons like work stress and inadequate time management, individuals often experience poor sleep. Inspired by Gina Neff and Dawn Nafus’ “SelfTracking,” I explored the potential of self-tracking in improving sleep quality. Self-tracking involves recording, monitoring, and analyzing data on life, health, and activities, enabling individuals to understand their behaviors and habits better, leading to positive changes and improved quality of life. I specifically investigated the effect of exercising before bedtime on sleep quality. Drawing from “Quantified Self” and “Biomedicalization,” I recognized the potential of quantifying daily life for clearer self-understanding, leading to improved health and quality of life.

Keywords


Self-Tracking, Biomedicalization; Sleep Quality; Quantified Self; Data Visualization; Correlation Coefficient

Full Text:

PDF

Included Database


References


[1] Neff, G., & Nafus, D. (2016). Self-tracking. The MIT Press.

[2] Quantitative Finance & Algo Trading Blog by QuantInsti. (2023, November 23). Creating seaborn heatmap using Python. Quantitative Finance & Algo Trading Blog by QuantInsti. https://blog.quantinsti.com/creating-heatmap-using-python-seaborn/

[3] Track your sleep on Apple Watch and use sleep on iPhone. Apple Support. (2023, November 13). https://support.apple.com/en-us/HT211685

[4] Neff, Gina, and Dawn Nafus. (2016). Self-Tracking: The Quantification of the Self in Everyday Life. MIT Press.

[5] Ware, Anne-Wil Harzing, and Martin J. Smith. (2014). “The future of HR analytics: New insights from employee self-tracking.” Human Resource Management Review, 24(1), 1-13.

[6] Mander, Bryce A., et al. (2018). “The impact of sleep quality, quantity, and timing on the human transcriptome.” Proceedings of the National Academy of Sciences, 115(29), E6976-E6985.

[7] Smith, Martin J., et al. (2013). “The quantified self: theoretical and practical implications of self-tracking.” The Information Society, 29(2), 119-127.

[8] Troxel, Wendy R., et al. (2011). “Improving sleep with cognitive-behavioral therapy: A meta-analysis.” Sleep, 34(8), 1101-1110.

[9] Johnson, Emily O., et al. (2019). “Can self-tracking improve health? The promise and challenges of digital technologies for self-management.” Patient Education and Counseling, 102(6), 1032-1039.

[10] Calvo, Rocío A., and Francisco J. Ortega. (2014). "Sleep quality and quantity and the risk of type 2 diabetes: A systematic review and meta-analysis." Diabetes Care, 37(6), 1556-1566.




DOI: http://dx.doi.org/10.18686/ahe.v8i1.12805

Refbacks