NCT06070025

Brief Summary

The goal of this observational study is to learn about the impact of historic and current Traumatic Brain Injuries on a Marine Battalion. Its main objectives are:

  • Establish individual mental and physical performance profile and brain health baseline in Infantry Marines
  • Develop predictive models to identify early signs of mental and/or physical degradation that can help predict "red-line" behavioral events and degradation in brain health.
  • Gather insights that will lead to developing personalized, evidence-based interventions to restore mental and physical performance.
  • Increase warfighter self-knowledge and personal awareness to monitor and maximize performance. Participants will wear wear smart watches and analyte sensors to track their real time physiological and sleep measures and complete subjective and psychological measures in a custom research app.

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
300

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jan 2023

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 22, 2023

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

March 23, 2023

Completed
7 months until next milestone

First Posted

Study publicly available on registry

October 6, 2023

Completed
1.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2025

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2025

Completed
Last Updated

December 11, 2024

Status Verified

December 1, 2024

Enrollment Period

2.6 years

First QC Date

March 23, 2023

Last Update Submit

December 5, 2024

Conditions

Keywords

brain healthtraumatic brain injurymarineswearablesphysiological sensors

Outcome Measures

Primary Outcomes (4)

  • Explanation of Outcomes

    In a traditional clinical trial, we would have explicitly included measures, or measurement tool used to assess the measure, along with the measurement units that would be used to assess this outcome measure. However, in this novel prospective digital health trial, these outcomes are not predefined, but are part of discovery within the digital app. Therefore these data will be reported as digital biomarkers that will not necessarily conform with the typical single or multi-variable traditional clinical trial and will include many novel measurement parameters and blended measures. For instance, a novel measurement that will be used to assess the effect of engaging in this clinical trial will be app adherence, which is not a variable generally used in clinical trials.

    18 months

  • Establish individual mental and physical performance profile and brain health baseline in Infantry Marines.

    Establish individual mental and physical performance profile and brain health baseline in Infantry Marines from physiological and psychological assessments. Assessments will be scored and recorded to contrast with scores during the study and at its conclusion for individuals as well as the group. Scores will be used to determine correlates and other connections between variables. This will include such connections as the connection between TBI history and current cognitive and psychological assessments, etc.

    1 month

  • Develop predictive models

    Develop predictive models to identify early signs of mental and/or physical degradation that can help predict adverse brain health or behavioral events using continuous physiological data and ongoing cognitive and psychological measures. Using assessments on baseline cognitive, physiological and psychological states combined with continuous and periodic assessments of these states, changes in TBI status and cognitive status will be correlated with biomarkers such as sleep, heart rate, O2 measures, glucose measures, and others (as described elsewhere) in order to discover new indications for adverse brain health.

    18 months

  • Increase warfighter self-knowledge and personal awareness

    Determine warfighter self-knowledge and personal awareness by developing and measuring self-reported and recorded interaction with personalized educational and interventional portions of the research app. Because we are interested in individuals being invested in their own data in order to make behavioral changes, we will establish baseline assessment scores, and deliver them back to the user with explanations. Participants will also receive continuous biomarker data. This will allow participants to decide if they will make any changes in their behavior or seek help in order to improve their own health outcomes. These will be measured in the same ways as described earlier - changes in sleep patterns, changes in eating habits, changes in drinking habits, etc., as well as level of access by participants of insights and other tools in the research app.

    18 months

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Healthy service members of the 1st Marine Division 1st Battalion out of Camp Pendleton, CA

You may qualify if:

  • Members of the 1st Marine Division 1st Battalion

You may not qualify if:

  • None

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Camp Pendleton

Oceanside, California, 92058, United States

Location

Related Publications (34)

  • Beckner ME, Main L, Tait JL, Martin BJ, Conkright WR, Nindl BC. Circulating biomarkers associated with performance and resilience during military operational stress. Eur J Sport Sci. 2022 Jan;22(1):72-86. doi: 10.1080/17461391.2021.1962983. Epub 2021 Aug 17.

    PMID: 34346851BACKGROUND
  • Bollyky JB, Bravata D, Yang J, Williamson M, Schneider J. Remote Lifestyle Coaching Plus a Connected Glucose Meter with Certified Diabetes Educator Support Improves Glucose and Weight Loss for People with Type 2 Diabetes. J Diabetes Res. 2018 May 16;2018:3961730. doi: 10.1155/2018/3961730. eCollection 2018.

    PMID: 29888288BACKGROUND
  • Brynes AE, Adamson J, Dornhorst A, Frost GS. The beneficial effect of a diet with low glycaemic index on 24 h glucose profiles in healthy young people as assessed by continuous glucose monitoring. Br J Nutr. 2005 Feb;93(2):179-82. doi: 10.1079/bjn20041318.

    PMID: 15788110BACKGROUND
  • Cauza E, Hanusch-Enserer U, Strasser B, Kostner K, Dunky A, Haber P. Strength and endurance training lead to different post exercise glucose profiles in diabetic participants using a continuous subcutaneous glucose monitoring system. Eur J Clin Invest. 2005 Dec;35(12):745-51. doi: 10.1111/j.1365-2362.2005.01573.x.

    PMID: 16313250BACKGROUND
  • Eslam M, Sarin SK, Wong VW, Fan JG, Kawaguchi T, Ahn SH, Zheng MH, Shiha G, Yilmaz Y, Gani R, Alam S, Dan YY, Kao JH, Hamid S, Cua IH, Chan WK, Payawal D, Tan SS, Tanwandee T, Adams LA, Kumar M, Omata M, George J. The Asian Pacific Association for the Study of the Liver clinical practice guidelines for the diagnosis and management of metabolic associated fatty liver disease. Hepatol Int. 2020 Dec;14(6):889-919. doi: 10.1007/s12072-020-10094-2. Epub 2020 Oct 1.

    PMID: 33006093BACKGROUND
  • Freckmann G, Hagenlocher S, Baumstark A, Jendrike N, Gillen RC, Rossner K, Haug C. Continuous glucose profiles in healthy subjects under everyday life conditions and after different meals. J Diabetes Sci Technol. 2007 Sep;1(5):695-703. doi: 10.1177/193229680700100513.

    PMID: 19885137BACKGROUND
  • Gambhir SS, Ge TJ, Vermesh O, Spitler R, Gold GE. Continuous health monitoring: An opportunity for precision health. Sci Transl Med. 2021 Jun 9;13(597):eabe5383. doi: 10.1126/scitranslmed.abe5383.

    PMID: 34108250BACKGROUND
  • Garcia-Compean D, Jaquez-Quintana JO, Gonzalez-Gonzalez JA, Lavalle-Gonzalez FJ, Villarreal-Perez JZ, Maldonado-Garza HJ. [Diabetes in liver cirrhosis]. Gastroenterol Hepatol. 2013 Aug-Sep;36(7):473-82. doi: 10.1016/j.gastrohep.2013.01.012. Epub 2013 Apr 28. Spanish.

    PMID: 23628170BACKGROUND
  • FDA-NIH Biomarker Working Group. BEST (Biomarkers, EndpointS, and other Tools) Resource [Internet]. Silver Spring (MD): Food and Drug Administration (US); 2016-. Available from http://www.ncbi.nlm.nih.gov/books/NBK326791/

    PMID: 27010052BACKGROUND
  • Hall H, Perelman D, Breschi A, Limcaoco P, Kellogg R, McLaughlin T, Snyder M. Glucotypes reveal new patterns of glucose dysregulation. PLoS Biol. 2018 Jul 24;16(7):e2005143. doi: 10.1371/journal.pbio.2005143. eCollection 2018 Jul.

    PMID: 30040822BACKGROUND
  • Hamaguchi E, Takamura T, Sakurai M, Mizukoshi E, Zen Y, Takeshita Y, Kurita S, Arai K, Yamashita T, Sasaki M, Nakanuma Y, Kaneko S. Histological course of nonalcoholic fatty liver disease in Japanese patients: tight glycemic control, rather than weight reduction, ameliorates liver fibrosis. Diabetes Care. 2010 Feb;33(2):284-6. doi: 10.2337/dc09-0148. Epub 2009 Oct 30.

    PMID: 19880582BACKGROUND
  • Hazell TJ, Islam H, Townsend LK, Schmale MS, Copeland JL. Effects of exercise intensity on plasma concentrations of appetite-regulating hormones: Potential mechanisms. Appetite. 2016 Mar 1;98:80-8. doi: 10.1016/j.appet.2015.12.016. Epub 2015 Dec 22.

    PMID: 26721721BACKGROUND
  • Holzer R, Bloch W, Brinkmann C. Continuous Glucose Monitoring in Healthy Adults-Possible Applications in Health Care, Wellness, and Sports. Sensors (Basel). 2022 Mar 5;22(5):2030. doi: 10.3390/s22052030.

    PMID: 35271177BACKGROUND
  • Jacobs I. Blood lactate. Implications for training and sports performance. Sports Med. 1986 Jan-Feb;3(1):10-25. doi: 10.2165/00007256-198603010-00003.

    PMID: 2868515BACKGROUND
  • Kim CH, Younossi ZM. Nonalcoholic fatty liver disease: a manifestation of the metabolic syndrome. Cleve Clin J Med. 2008 Oct;75(10):721-8. doi: 10.3949/ccjm.75.10.721.

    PMID: 18939388BACKGROUND
  • 15. Karney BR, Crown JS. Families Under Stress: An Assessment of Data, Theory, and Research on ... - Benjamin R. Karney, John S. Crown - Google Books.; 2007.

    BACKGROUND
  • Knapik JJ, Reynolds KL, Harman E. Soldier load carriage: historical, physiological, biomechanical, and medical aspects. Mil Med. 2004 Jan;169(1):45-56. doi: 10.7205/milmed.169.1.45.

    PMID: 14964502BACKGROUND
  • Koutoukidis DA, Astbury NM, Tudor KE, Morris E, Henry JA, Noreik M, Jebb SA, Aveyard P. Association of Weight Loss Interventions With Changes in Biomarkers of Nonalcoholic Fatty Liver Disease: A Systematic Review and Meta-analysis. JAMA Intern Med. 2019 Sep 1;179(9):1262-1271. doi: 10.1001/jamainternmed.2019.2248.

    PMID: 31260026BACKGROUND
  • Kulawiec, D.G., Zhou, T., Knopp, J.L. and Chase, J.G., 2021. Continuous glucose monitoring to measure metabolic impact and recovery in sub-elite endurance athletes. Biomedical Signal Processing and Control, 70, p.103059.

    BACKGROUND
  • LaFountain RA, Miller VJ, Barnhart EC, Hyde PN, Crabtree CD, McSwiney FT, Beeler MK, Buga A, Sapper TN, Short JA, Bowling ML, Kraemer WJ, Simonetti OP, Maresh CM, Volek JS. Extended Ketogenic Diet and Physical Training Intervention in Military Personnel. Mil Med. 2019 Oct 1;184(9-10):e538-e547. doi: 10.1093/milmed/usz046.

    PMID: 30877806BACKGROUND
  • Lee EC, Fragala MS, Kavouras SA, Queen RM, Pryor JL, Casa DJ. Biomarkers in Sports and Exercise: Tracking Health, Performance, and Recovery in Athletes. J Strength Cond Res. 2017 Oct;31(10):2920-2937. doi: 10.1519/JSC.0000000000002122.

    PMID: 28737585BACKGROUND
  • Leung, M.Y., Chan, Y.S. and Yuen, K.W., 2010. Impacts of stressors and stress on the injury incidents of construction workers in Hong Kong. Journal of Construction Engineering and Management, 136(10), pp.1093-1103.

    BACKGROUND
  • Lippi G, Montagnana M, Salvagno GL, Franchini M, Guidi GC. Glycaemic control in athletes. Int J Sports Med. 2008 Jan;29(1):7-10. doi: 10.1055/s-2007-964898. Epub 2007 Jul 5.

    PMID: 17614026BACKGROUND
  • Liu J, Ayada I, Zhang X, Wang L, Li Y, Wen T, Ma Z, Bruno MJ, de Knegt RJ, Cao W, Peppelenbosch MP, Ghanbari M, Li Z, Pan Q. Estimating Global Prevalence of Metabolic Dysfunction-Associated Fatty Liver Disease in Overweight or Obese Adults. Clin Gastroenterol Hepatol. 2022 Mar;20(3):e573-e582. doi: 10.1016/j.cgh.2021.02.030. Epub 2021 Feb 20.

    PMID: 33618024BACKGROUND
  • Mitra-Sarkar, S. and Andreas, M., 2009. Driving behaviors, risk perceptions, and stress: An examination of military personnel during wartime deployment. Transportation research record, 2138(1), pp.42-45.

    BACKGROUND
  • Murray, M., Fitzpatrick, D., and O'Connell, C. (1997). "Fishermen's blues: Factors related to accidents and safety among Newfoundland fishermen." Work Stress, 11(3), 292-297.10.1080/02678379708256842

    BACKGROUND
  • Nowotny B, Cavka M, Herder C, Loffler H, Poschen U, Joksimovic L, Kempf K, Krug AW, Koenig W, Martin S, Kruse J. Effects of acute psychological stress on glucose metabolism and subclinical inflammation in patients with post-traumatic stress disorder. Horm Metab Res. 2010 Sep;42(10):746-53. doi: 10.1055/s-0030-1261924. Epub 2010 Jul 27.

    PMID: 20665427BACKGROUND
  • Opstad K. Circadian rhythm of hormones is extinguished during prolonged physical stress, sleep and energy deficiency in young men. Eur J Endocrinol. 1994 Jul;131(1):56-66. doi: 10.1530/eje.0.1310056.

    PMID: 8038905BACKGROUND
  • Russell WR, Baka A, Bjorck I, Delzenne N, Gao D, Griffiths HR, Hadjilucas E, Juvonen K, Lahtinen S, Lansink M, Loon LV, Mykkanen H, Ostman E, Riccardi G, Vinoy S, Weickert MO. Impact of Diet Composition on Blood Glucose Regulation. Crit Rev Food Sci Nutr. 2016;56(4):541-90. doi: 10.1080/10408398.2013.792772.

    PMID: 24219323BACKGROUND
  • Saeb S, Lattie EG, Schueller SM, Kording KP, Mohr DC. The relationship between mobile phone location sensor data and depressive symptom severity. PeerJ. 2016 Sep 29;4:e2537. doi: 10.7717/peerj.2537. eCollection 2016.

    PMID: 28344895BACKGROUND
  • Sevil, M., Rashid, M., Hajizadeh, I., Maloney, Z., Samadi, S., Askari, M.R., Brandt, R., Hobbs, N., Park, M., Quinn, L. and Cinar, A., 2019, May. Assessing the effects of stress response on glucose variations. In 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 1-4). IEEE.

    BACKGROUND
  • Szivak TK, Kraemer WJ. Physiological Readiness and Resilience: Pillars of Military Preparedness. J Strength Cond Res. 2015 Nov;29 Suppl 11:S34-9. doi: 10.1519/JSC.0000000000001073.

    PMID: 26506195BACKGROUND
  • Tison GH, Kaiyu Hsu, Johnson T. Hsieh, et al. Abstract 21029: Achieving High Retention in Mobile Health Research Using Design Principles Adopted from Widely Popular Consumer Mobile Apps | Circulation. Circulation. 2018;136(No. suppl_1). https://www.ahajournals.org/doi/10.1161/circ.136.suppl_1.21029. Accessed May 1, 2020

    BACKGROUND
  • Wu G, Feder A, Cohen H, Kim JJ, Calderon S, Charney DS, Mathe AA. Understanding resilience. Front Behav Neurosci. 2013 Feb 15;7:10. doi: 10.3389/fnbeh.2013.00010. eCollection 2013.

    PMID: 23422934BACKGROUND

MeSH Terms

Conditions

Brain Injuries, Traumatic

Condition Hierarchy (Ancestors)

Brain InjuriesBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesCraniocerebral TraumaTrauma, Nervous SystemWounds and Injuries

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
OTHER
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor of Medicine, Executive Director, USC Center for Body Computing,

Study Record Dates

First Submitted

March 23, 2023

First Posted

October 6, 2023

Study Start

January 22, 2023

Primary Completion

September 1, 2025

Study Completion

October 1, 2025

Last Updated

December 11, 2024

Record last verified: 2024-12

Data Sharing

IPD Sharing
Will not share

Locations