Skip to main content
Springer Nature Link
Log in

Home-Based Assessment of Sleep Quality and Post Concussive Symptoms in Veterans with Mild Traumatic Brain Injury

  • Conference paper
  • First Online:
Augmented Cognition (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13310))

Included in the following conference series:

  • 1389 Accesses

Abstract

Military Veterans report sleep complaints which can be exacerbated by traumatic brain injuries (TBIs) contributing to poor health outcomes. The aim of this study is to examine the relation between sleep quality and postconcussive symptoms, cognitive performance, behavior, and physical activity using home-based remote measures in Veterans with a history of mild TBIs. Methods: Participants completed online questionnaires (Neurobehavioral Symptom Inventory [NSI], Five Facet Mindfulness Questionnaire-39 [FFMQ], and Pittsburgh Sleep Quality Index [PSQI]). The Oral Trail Making test and Ohio State University TBI Identification Method (OSU TBI-ID) were administered by a licensed psychologist. Actigraphy (wGT3X-BT) was monitored to measure sleep and step count over 7 days. During three-month follow up the NSI and PSQI were repeated, and sleep and step count was reassessed for 7-days (using a Fitbit). Data were analyzed using Pearson’s correlations. Results: Eight (8 Males; age: 55 ± 7 yrs, Body Mass Index (BMI): 32 ± 7 kg/m2 mean ± SD) Veterans with mild TBI completed the baseline. Six Veterans completed during the three month follow up. There were no significant relations between sleep and FFMQ, or step count. There was a significant relation between sleep duration and processing speed (r2 = 0.76, P = 0.01) and between the PSQI and NSI (r2 = 0.69, P = 0.02). During the follow up, there were no relations between sleep and NSI, FFMQ, or step count. Conclusion: This preliminary analysis suggests evaluating sleep remotely is achievable and valuable information can be gathered to evaluate sleep and health in Veterans with mild TBI. Our work supports the usefulness of home-based assessments and wearable devices.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Folmer, R.L., et al.: Prevalence and management of sleep disorders in the Veterans health administration. Sleep Med. Rev. 54, 101358 (2020)

    Article  Google Scholar 

  2. O’Neil, M.E., et al.: Complications of mild traumatic brain injury in veterans and military personnel: a systematic review. In: VA Evidence Synthesis Program Reports (2013)

    Google Scholar 

  3. Lu, L.H., Reid, M.W., Cooper, D.B., Kennedy, J.E.: Sleep problems contribute to post-concussive symptoms in service members with a history of mild traumatic brain injury without posttraumatic stress disorder or major depressive disorder. NeuroRehabilitation 44, 511–521 (2019)

    Article  Google Scholar 

  4. Orff, H.J., Ayalon, L., Drummond, S.P.A.: Traumatic brain injury and sleep disturbance: a review of current research. J. Head Trauma Rehabil. 24, 155–165 (2009)

    Article  Google Scholar 

  5. Mahmood, O., Rapport, L.J., Hanks, R.A., Fichtenberg, N.L.: Neuropsychological performance and sleep disturbance following traumatic brain injury. J. Head Trauma Rehabil. 19, 378–390 (2004)

    Article  Google Scholar 

  6. Holcomb, E., et al.: The relationship between sleep-wake cycle disturbance and trajectory of cognitive recovery during acute traumatic brain injury. J. Head Trauma Rehabil. 31, 108–116 (2016)

    Google Scholar 

  7. Lehtonen, S., et al.: Neuropsychological outcome and community re-integration following traumatic brain injury: the impact of frontal and non-frontal lesions. Brain Inj. 19, 239–256 (2009)

    Article  Google Scholar 

  8. Fong, T.C., Ho, R.T.: Mindfulness facets predict quality of life and sleep disturbance via physical and emotional distresses in Chinese cancer patients: a moderated mediation analysis. Psychooncology 29, 894–901 (2020)

    Article  Google Scholar 

  9. Dolezal, B.A., Neufeld, E.V., Boland, D.M., Martin, Cooper, C.B.: Interrelationship between sleep and exercise: a systematic review. Adv. Prev. Med. 1364387 (2017)

    Google Scholar 

  10. Chennaoui, M., Arnal, P.J., Sauvet, F., Eger, D.L.: Sleep and exercise: a reciprocal issue? Sleep Med. Rev. 20, 59–72 (2014)

    Article  Google Scholar 

  11. Baron, K.G., Reid, K.J., Zee, P.C.: Exercise to improve sleep in insomnia: exploration of the bidirectional effects. J. Clin. Sleep Med. 9 (2013)

    Google Scholar 

  12. Grima, N., Ponsford, J., Rajaratnam, S.M., Mansfield, D., Pase, M.P.: Sleep disturbances in traumatic brain injury: a meta-analysis. J. Clin. Sleep Med. 12, 419–428 (2016)

    Article  Google Scholar 

  13. Deboer, T.: Sleep homeostasis and the circadian clock: do the circadian pacemaker and the sleep homeostat influence each other’s functioning? Neurobiol. Sleep Circadian Rhythm 5, 68–77 (2018)

    Article  Google Scholar 

  14. Bei, B., Wiley, J.F., Trinder, J., Manber, R.: Beyond the mean: a systematic review on the correlates of daily intraindividual variability of sleep/wake patterns. Sleep Med. Rev. 28, 108–124 (2016)

    Article  Google Scholar 

  15. Watson, N.F., et al.: Recommended amount of sleep for a healthy adult: a joint consensus statement of the American academy of sleep medicine and sleep research society. Sleep 38, 843 (2015)

    Article  Google Scholar 

  16. Vanderploeg, R.D., et al.: Screening for postdeployment conditions: development and cross-validation of an embedded validity scale in the neurobehavioral symptom inventory. J. Head Trauma Rehabil. 29, 1–10 (2014)

    Article  Google Scholar 

  17. Carpenter, J.K., Conroy, K., Gomez, A.F., Curren, L.C., Hofmann, S.G.: The relationship between trait mindfulness and affective symptoms: a meta-analysis of the five facet mindfulnessquestionnaire (FFMQ). Clin. Psychol. Rev. 74, 101785 (2019)

    Article  Google Scholar 

  18. Buysse, D.J., Reynolds, C.F.I., Monk, T.H., Berman, S.R., Kupfer, D.J.: The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 28(2), 193–213 (1989)

    Article  Google Scholar 

  19. Matsangas, P., Mysliwiec, V.: The utility of the Pittsburgh sleep quality index in US military personnel. Mil. Psychol. 30, 360–369 (2018)

    Article  Google Scholar 

  20. Corrigan, J.D., Bogner, J.: Initial reliability and validity of the Ohio State University TBI identification method. J. Head Trauma Rehabil. 22, 318–329 (2007)

    Article  Google Scholar 

  21. Tudor-Locke, C., Barreira, T.V., Schuna, J.M., Mire, E.F., Katzmarzyk, P.T.: Fully automated waist-worn accelerometer algorithm for detecting children’s sleep-period time separate from 24-h physical activity or sedentary behaviors. Appl. Physiol. Nutr. Metab. 39, 53–57 (2014)

    Article  Google Scholar 

  22. Castriotta, R.J., Wilde, M.C., Lai, J.M., Atanasov, S., Masel, B.E., Kuna, S.T.: Prevalence and consequences of sleep disorders in traumatic brain injury. J. Clin. Sleep Med. 3, 349–356 (2007)

    Article  Google Scholar 

  23. Minen, M.T., Boubour, A., Walia, H., Barr, W.: Post-concussive syndrome: a focus on post-traumatic headache and related cognitive, psychiatric, and sleep issues. Curr. Neurol. Neurosci. Rep. 16(11), 1–12 (2016). https://doi.org/10.1007/s11910-016-0697-7

    Article  Google Scholar 

  24. Hirshkowitz, M., et al.: National sleep foundation’s sleep time duration recommendations: methodology and results summary. Sleep Heal. 1, 40–43 (2015)

    Google Scholar 

  25. Zuraikat, F.M., Makarem, N., Redline, S., Aggarwal, B., Jelic, S., St-Onge, M.P.: Sleep regularity and cardiometabolic health: is variability in sleep patterns a risk factor for excess adiposity and glycemic dysregulation? Curr. Diab. Rep. 20 (2020)

    Google Scholar 

  26. Wilckens, K.A., Woo, S.G., Kirk, A.R., Erickson, K.I., Wheeler, M.E.: The role of sleep continuity and total sleep time in executive function across the adult lifespan. Psychol. Aging. 29, 658 (2014)

    Article  Google Scholar 

  27. Ratcliff, R., van Dongen, H.P.A.: Sleep deprivation affects multiple distinct cognitive processes. Psychon. Bull. Rev. 16, 742 (2009)

    Article  Google Scholar 

  28. Yin, J., et al.: Relationship of sleep duration with all-cause mortality and cardiovascular events: a systematic review and dose-response meta-analysis of prospective cohort studies. J. Am. Heart Assoc. 6(9), e005947 (2017)

    Article  Google Scholar 

  29. McIntyre, R.S., et al.: The prevalence, measurement, and treatment of the cognitive dimension/domain in major depressive disorder. CNS Drugs 29, 577–589 (2015)

    Article  Google Scholar 

  30. Ong, J.C., Ulmer, C.S., Manber, R.: Improving sleep with mindfulness and acceptance: a metacognitive model of Insomnia. Behav. Res. Ther. 50 (651) (2012)

    Google Scholar 

  31. Mrazik, M., Millis, S., Drane, D.L.: The oral trail making test: effects of age and concurrent validity. Arch. Clin. Neuropsychol. 25, 236–243 (2010)

    Article  Google Scholar 

  32. Ancoli-Israel, S., Cole, R., Alessi, C., Chambers, M., Moorcroft, W., Pollak, C.P.: The role of actigraphy in the study of sleep and circadian rhythms. Sleep 26, 342–392 (2003)

    Article  Google Scholar 

  33. Ibáñez, V., Silva, J., Cauli, O.: A survey on sleep assessment methods. PeerJ 6, e4849 (2018)

    Article  Google Scholar 

  34. Depner, C.M., et al.: Wearable technologies for developing sleep and circadian biomarkers: a summary of workshop discussions. Sleep 43(1–13), 1–13 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Washington DC VA Medical Center, War Related Illness and Injury Study Center, Washington DC, 20422, USA

    Kamila U. Pollin, Immanuel Samuel, Charity B. Breneman, Mary M. Valmas, Ryan C. Brewster, Matthew J. Reinhard & Michelle E. Costanzo

  2. Henry M Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, 20817, USA

    Immanuel Samuel & Charity B. Breneman

Authors
  1. Kamila U. Pollin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Immanuel Samuel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Charity B. Breneman
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mary M. Valmas
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ryan C. Brewster
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Matthew J. Reinhard
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Michelle E. Costanzo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Michelle E. Costanzo .

Editor information

Editors and Affiliations

  1. Soar Technology Inc., Orlando, FL, USA

    Dylan D. Schmorrow

  2. Katmai Government Services, Orlando, FL, USA

    Cali M. Fidopiastis

Ethics declarations

Authors report no conflicts of interest. the opinions presented in this article are those of the authors and do not reflect the views of any institution/agency of the U.S. government or the Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pollin, K.U. et al. (2022). Home-Based Assessment of Sleep Quality and Post Concussive Symptoms in Veterans with Mild Traumatic Brain Injury. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Augmented Cognition. HCII 2022. Lecture Notes in Computer Science(), vol 13310. Springer, Cham. https://doi.org/10.1007/978-3-031-05457-0_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-05457-0_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05456-3

  • Online ISBN: 978-3-031-05457-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics