Does Being Monitored during Sleep Affect People on a Cognitive and a Behavioral Level?

M. S. Goelema, R. Haakma, P. Markopoulos

2014

Abstract

Nowadays it is possible to monitor behavior or physiological features with specially-made devices that make self-monitoring an accessible and simple activity. Unknown is the effect these wearable devices may have on people’s lives and this also applies to the area of sleep monitoring devices. The aim of this preliminary study is to address the extent to which sleep monitoring devices affect people on a cognitive and behavioral level. Four participants aged from 34 to 60, filled out a sleep diary for three consecutive weeks and wore in the latter two weeks a sleep monitoring device. Adjustments on a cognitive and behavioral level were observed, but this was probably due to participating in this study and completing the sleep diary as was indicated by the participants. Since the market for self-monitoring devices is rapidly developing and more accessible for lay people, it is important to investigate the reactive outcomes of these devices as they may have consequences for people who have a high adherence to self-control. Moreover, the knowledge about self-monitoring will improve which will lead to better interventions carried out by, for example, sleep coaches.

References

  1. Amato-Zech, N. A., Hoff, K. E., and Doepke, K. J. (2006). Increasing on-task behavior in the classroom: Extension of self-monitoring strategies. Psychology in the schools, 34(2):211-221.
  2. Boutelle, K. N. and Kirschenbaum, D. S. (1998). Further support for consistent self-monitoring as a vital component of successful weight control. Obesity Research, 6(3):219-224.
  3. Burke, L. E., Wang, J., and Sevick, M. A. (2011). Selfmonitoring in weight loss: A systematic review of the literature. Journal of the American Dietetic Association, 111(1):92-102.
  4. Butryn, M. L., Phelan, S., Hill, J. O., and Wing, R. R. (2007). Consistent self-monitoring of weight: A key component of successful weight loss maintenance. Obesity, 15(12):3091-3096.
  5. Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., and Kupfer, D. J. (1989). The Pitssburg Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Research, 28:193- 213.
  6. Carney, C. E., Buysse, D. J., Ancoli-Israel, S., Edinger, J. S., Krystal, A. D., Lichstein, K. L., and Morin, C. M. (2012). The consensus sleep diary: standardizing prospective sleep self-monitoring. Sleep, 35(2):287- 302.
  7. Cole, R. J., Kripke, D. F., Greun, W., Mullaney, D. J., and Gillin, J. C. (1992). Automatic sleep/wake identification from wrist actigraphy. Sleep, 15(5):461- 469.
  8. Going, S., Thompson, J., Cano, S., Stewart, D., Stone, E., Harnack, L., Hastings, C., Norman, J. and Corbin, C. (2003). The effects of the Pathways Obesity Prevention Program on physical activity in American Indian children. Preventive Medicine, 37:S62-S69.
  9. Helzer, J. E., Badger, G. J., Rose, G. L., Mongeon, J. A., and Searles, J. S. (2002). Decline in alcohol consumption during two years of daily reporting. Journal of studies on Alcohol and Drugs, 63(5):551- 558.
  10. Hufford, M. R., Shields, A. L., Shiffman, S., Paty, J., and Balabanis, M. (2002). Reactivity to Ecological Momentary Assessment: An example using undergraduate problem drinkers. Psychology Of Addictive Behaviors, 16:205-211.
  11. Karter, A. J., Ackerson, L. M., Darbinian, J. A., D'Agostino, R. B., Ferrara, A., Liu, J., and Selby, J. V. (2001). Self-monitoring of blood glucose levels and glycemic control: the Northern California Kaiser Permanente Diabetes Registry. American Journal of Medicine, 111:1-9.
  12. Kazdin, A. E. (1974). Reactive self-monitoring: The effects of response desirability, goal setting, and feedback. Journal of Consulting and Clinical Psychology, 42(5):704-716.
  13. Keklund, G. and Åkerstedt, T. (1997). Objective components of individual differences in subjective sleep quality. Journal of Sleep Research, 6:217-220.
  14. Korotitsch, W. J. and Nelson-Gray, R. O. (1999). An overview of self-monitoring research in assessment and treatment. Psychological Assessment, 11:415-425.
  15. LeMaster, J. W., Mueller, M. J., Reiber, G. E., Mehr, D. R., Madsen, R. W., and Conn, V. S. (2008). Effect of weight-bearing activity on foot ulcer incidence in people with diabetic peripheral neuropathy: feet first randomized controlled trial. Physical Therapy, 88(11):1385-1398.
  16. Litt, M. D., Cooney, N. L., and Morse, P. (1998). Ecological Momentary Assessment (EMA) with treated alcoholics: Methodological problems and potential solutions. Health Psychology, 17(1):48-52.
  17. Maag, J. W., Reid, R., and DiGangi, S. A. (1993). Differential effects of self-monitoring attention, accuracy, and productivity. Journal of Applied Behavior Analysis, 26(3):329-344.
  18. Martin, S., Schneider, B., Heinemann, L., Lodwig, V., Kurth, H. -J., Kolb, H., and Scherbaum, W. A. (2006). Self-monitoring of blood glucose in type 2 diabetes and long-term outcome: An epidemiological cohort study. Diabetologia, 49:271-278.
  19. McFall, R. M. (1970). Effects of self-monitoring on normal smoking behavior. Journal of Consulting and Clinical Psychology, 35(2):135-142.
  20. Motl, R. W., McAuley, E., and Dlugonski, D. (2012). Reactivity in baseline accelerometer data from a physical activity behavioral intervention. Health Psychology, 31(2):172-175.
  21. O'Kane, M. J., Bunting, B., Copeland, M., and Coates, V. E. (2008). Efficacy of self monitoring of blood glucose in patients with newly diagnosed type 2 diabetes (ESMON study): Randomised controlled trial. British Medical Journal, 336(7654):1174-1177.
  22. Shambroom, J. R., Fábregas, S. E., and Johnstone, J. (2012). Validation of an automated wireless system to monitor sleep in healthy adults. Journal of Sleep Research, 21(2):221-230.
  23. Shimabukuro, S. M., Prater, M. A., Jenkins, A., and Edelen-Smith, P. (1999). The effects of selfmonitoring of academic performance on students with learning disabilities and ADD/ADHD. Education and treatment of children, 22:397-414.
  24. Stone, A. A., Broderick, J. E., Schwartz, J. E., Shiffman, S., Litcher-Kelly, L., and Calvanese, P. (2003). Intensive momentary reporting of pain with an electronic diary: reactivity, compliance, and patient satisfaction. Pain, 104:343-351.
  25. Swan, M. (2012). Health 2050: The realization of personalized medicine through crowdsoursing, the quantified self, and the participatory biocitizen. Journal of Personalized Medicine, 2:93-118.
  26. Wang, J., Sereika, S. M., Chasens, E. R., Ewing, L. J., Matthews, J. T., and Burke, L. E. (2012). Effect of adherence to self-monitoring of diet and physical activity on weight loss in a technology-supported behavioural intervention. Patient Preference and Adherence, 6:221-226.
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Paper Citation


in Harvard Style

S. Goelema M., Haakma R. and Markopoulos P. (2014). Does Being Monitored during Sleep Affect People on a Cognitive and a Behavioral Level? . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 27-33. DOI: 10.5220/0004745700270033


in Bibtex Style

@conference{healthinf14,
author={M. S. Goelema and R. Haakma and P. Markopoulos},
title={Does Being Monitored during Sleep Affect People on a Cognitive and a Behavioral Level?},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={27-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004745700270033},
isbn={978-989-758-010-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Does Being Monitored during Sleep Affect People on a Cognitive and a Behavioral Level?
SN - 978-989-758-010-9
AU - S. Goelema M.
AU - Haakma R.
AU - Markopoulos P.
PY - 2014
SP - 27
EP - 33
DO - 10.5220/0004745700270033