#Sleep_as_Android: Feasibility of Using Sleep Logs on Twitter for Sleep Studies (original) (raw)

Abstract

Social media enjoys a growing popularity as a platform to seek and share personal health information. For sleep studies using data from social media, most researchers focused on inferring sleep-related artifacts from self-reported anecdotal pointers to sleep patterns or issues such as insomnia. The data shared by "quantified-selfers" on social media presents an opportunity to study more quantitative and objective measures of sleep. We propose and validate the approach of collecting and analyzing sleep logs that are generated and shared through a sleep-tracking mobile application. We highlight the value of this data by combining it with users' social media data. The results provide a validation of using social media for sleep studies as the collected sleep data is aligned with sleep data from other sources. The results of combining social media data with sleep data provide preliminary evidence that higher social media activity is associated with lower sleep duration and quality.

Loading...

Loading Preview

Sorry, preview is currently unavailable. You can download the paper by clicking the button above.

References (25)

  1. Bureau of Labor Statistics, "American time use survey," Tech. Rep., June 2015.
  2. K. Spiegel, E. Tasali, R. Leproult, and E. Van Cauter, "Effects of poor and short sleep on glucose metabolism and obesity risk," Nature Reviews Endocrinology, vol. 5, no. 5, pp. 253-261, 2009.
  3. M. A. Miller and F. P. Cappuccio, "Inflammation, sleep, obesity and cardio- vascular disease." Current vascular pharmacology, vol. 5, no. 2, pp. 93-102, 2007.
  4. F. P. Cappuccio, L. D'Elia, P. Strazzullo, and M. A. Miller, "Quantity and quality of sleep and incidence of type 2 diabetes a systematic review and meta-analysis," Diabetes care, vol. 33, no. 2, pp. 414-420, 2010.
  5. J. E. Gangwisch, S. B. Heymsfield, B. Boden-Albala, R. M. Buijs, F. Kreier, T. G. Pickering, A. G. Rundle, G. K. Zammit, and D. Malaspina, "Short sleep duration as a risk factor for hypertension analyses of the first national health and nutrition examination survey," hypertension, vol. 47, no. 5, pp. 833-839, 2006.
  6. A. J. Fuligni and C. Hardway, "Daily variation in adolescents' sleep, activities, and psychological well-being," Journal of Research on Adolescence, vol. 16, no. 3, pp. 353-378, 2006. [Online]. Available: http://dx.doi.org/10.1111/j.1532-7795.2006.00498.x
  7. D. E. Ford and L. Cooper-Patrick, "Sleep disturbances and mood disorders: An epidemiologic perspective," Depression and Anxiety, vol. 14, no. 1, pp. 3-6, 2001. [Online]. Available: http://dx.doi.org/10.1002/da.1041
  8. M. R. Rosekind, K. B. Gregory, M. M. Mallis, S. L. Brandt, B. Seal, and D. Lerner, "The cost of poor sleep: workplace productivity loss and associ- ated costs." Journal of Occupational and Environmental Medicine, vol. 52, no. 1, pp. 91-98, 2010.
  9. D. J. McIver, J. B. Hawkins, R. Chunara, A. K. Chatterjee, A. Bhandari, T. P. Fitzgerald, S. H. Jain, and J. S. Brownstein, "Characterizing sleep issues using twitter," Journal of medical Internet research, vol. 17, no. 6, 2015.
  10. S. Jamison-Powell, C. Linehan, L. Daley, A. Garbett, and S. Lawson, "I can't get no sleep: discussing #insomnia on twitter," in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2012, pp. 1501-1510.
  11. M. Swan, "Emerging patient-driven health care models: an examination of health social networks, consumer personalized medicine and quantified self-tracking," International journal of environmental research and public health, vol. 6, no. 2, pp. 492-525, 2009.
  12. Y. Wang, I. Weber, and P. Mitra, "Quantified self meets social media: Shar- ing of weight updates on twitter," in International Conference on Digital Health, 2016, pp. 93-97.
  13. H. Haddadi, F. Ofli, Y. Mejova, I. Weber, and J. Srivastava, "360-degree quantified self," in International Conference on Healthcare Informatics, 2015, pp. 587-592.
  14. M. De Choudhury, M. R. Morris, and R. W. White, "Seeking and sharing health information online: Comparing search engines and social media," in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2014, pp. 1365-1376.
  15. C. C. Yang, L. Jiang, H. Yang, and X. Tang, "Detecting signals of adverse drug reactions from health consumer contributed content in social media," in Proceedings of ACM SIGKDD Workshop on Health Informatics, 2012.
  16. H. Yang and C. C. Yang, "Harnessing social media for drug-drug inter- actions detection," in Healthcare Informatics (ICHI), 2013 IEEE Interna- tional Conference on. IEEE, 2013, pp. 22-29.
  17. K. Wu, J. Ma, Z. Chen, and P. Ren, "Sleep quality evaluation of active microblog users," in APWeb, 2015, pp. 178-189.
  18. J. Behar, A. Roebuck, J. S. Domingos, E. Gederi, and G. D. Clifford, "A re- view of current sleep screening applications for smartphones," Physiological measurement, vol. 34, no. 7, p. R29, 2013.
  19. A. A. Ong and M. B. Gillespie, "Overview of smartphone applications for sleep analysis," World Journal of Otorhinolaryngology-Head and Neck Surgery, 2016.
  20. S. Bhat, A. Ferraris, D. Gupta, M. Mozafarian, V. DeBari, N. Gushway- Henry, S. Gowda, P. Polos, M. Rubinstein, H. Seidu et al., "Is there a clinical role for smartphone sleep apps? comparison of sleep cycle detection by a smartphone application to polysomnography." Journal of clinical sleep medicine: JCSM: official publication of the American Academy of Sleep Medicine, vol. 11, no. 7, pp. 709-715, 2014.
  21. M. T. Bianchi, "Consumer sleep apps: When it comes to the big picture, it's all about the frame," Journal of clinical sleep medicine: JCSM: official publication of the American Academy of Sleep Medicine, vol. 11, no. 7, p. 695, 2015.
  22. A. van de Water, A. Holmes, and D. A. Hurley, "Objective measurements of sleep for non-laboratory settings as alternatives to polysomnography-a systematic review," Journal of sleep research, vol. 20, no. 1pt2, pp. 183-200, 2011.
  23. J. M. Kelly, R. E. Strecker, and M. T. Bianchi, "Recent developments in home sleep-monitoring devices," ISRN neurology, vol. 2012, 2012.
  24. Y. Bai, B. Xu, Y. Ma, G. Sun, and Y. Zhao, "Will you have a good sleep tonight?: sleep quality prediction with mobile phone," in Proceedings of the 7th International Conference on Body Area Networks. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineer- ing), 2012, pp. 124-130.
  25. I. Wolniczak, J. A. Caceres-DelAguila, G. Palma-Ardiles, K. J. Arroyo, R. Sols-Visscher, S. Paredes-Yauri, K. Mego-Aquije, and A. Bernabe-Ortiz, "Association between facebook dependence and poor sleep quality: A study in a sample of undergraduate students in peru," PLOS ONE, vol. 8, no. 3, p. e59087, 2013.