Novel mHealth Physical Activity Intervention for Youth With Type 1 Diabetes Mellitus

NCT ID: NCT06018844

Last Updated: 2025-08-19

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

View full results

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

TERMINATED

Total Enrollment

1 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-07-25

Study Completion Date

2025-06-26

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The goal of this longitudinal cohort study is to learn about a mHealth intervention in Type 1 Diabetes (T1D)

The main question\[s\] it aims to answer are:

* Does the intervention increase the amount of text messages between the mHealth software and participants?
* Do the text messages from the Nudge software increase moderate to vigorous physical activity (MVPA) in participants?
* Does the MVPA encouraged by the Nudge software improve the HbA1c levels of participants?

Participants will:

* Receive text messages from the Nudge software
* Report physical activity goals via the text messages to the Nudge software
* Wear both an accelerometer and an actigraph for three weeks (spread out across the beginning, 30 days, and 90 days of participation)
* Complete surveys at the beginning of participation
* Complete daily surveys while wearing the devices
* Complete surveys at the end of participation
* Record physical activity in study surveys

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Type 1 Diabetes

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

NUDGE

NUDGE is a brief mHealth text messaging intervention designed to promote activity in adolescents by allowing them to set, monitor, and receive feedback on daily PA goals through text message.

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Participants 12.00-21.99 years old
* Participants with a physician confirmed T1D diagnosis.
* T1D diagnosis was at least 6 months prior to study enrollment
* Participants are on an intensive insulin regiment (either with an insulin pump or multiple daily injection)
* Participants must be using a continuous glucose monitor (CGM)
* Participants and parents/legally authorized representatives (LARS) of participants less than 18.00 speak/read English.

Exclusion Criteria

* Participants with evidence of type 2 or monogenic diabetes.
* Participants with a comorbid chronic condition (e.g., renal disease).
* Participants with presence of severe psychiatric disorders.
* Participants with a diagnosis of low vision (vision that cannot be corrected with contact lenses or eyeglasses).
* Participants with limited mobility that would prevent participant from engaging in daily physical activity, self-assessed by participant.
Minimum Eligible Age

13 Years

Maximum Eligible Age

21 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

University of Kansas

OTHER

Sponsor Role collaborator

Nemours Children's Clinic

OTHER

Sponsor Role collaborator

Children's Mercy Hospital Kansas City

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Mark Clements, MD

Role: PRINCIPAL_INVESTIGATOR

Children's Mercy

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Children's Mercy

Kansas City, Missouri, United States

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United States

References

Explore related publications, articles, or registry entries linked to this study.

Dabelea D. The accelerating epidemic of childhood diabetes. Lancet. 2009 Jun 13;373(9680):1999-2000. doi: 10.1016/S0140-6736(09)60874-6. Epub 2009 May 27. No abstract available.

Reference Type BACKGROUND
PMID: 19481250 (View on PubMed)

Vehik K, Hamman RF, Lezotte D, Norris JM, Klingensmith G, Bloch C, Rewers M, Dabelea D. Increasing incidence of type 1 diabetes in 0- to 17-year-old Colorado youth. Diabetes Care. 2007 Mar;30(3):503-9. doi: 10.2337/dc06-1837.

Reference Type BACKGROUND
PMID: 17327312 (View on PubMed)

Mayer-Davis EJ, Dabelea D, Lawrence JM. Incidence Trends of Type 1 and Type 2 Diabetes among Youths, 2002-2012. N Engl J Med. 2017 Jul 20;377(3):301. doi: 10.1056/NEJMc1706291. No abstract available.

Reference Type BACKGROUND
PMID: 28723318 (View on PubMed)

Miller GF, Coffield E, Leroy Z, Wallin R. Prevalence and Costs of Five Chronic Conditions in Children. J Sch Nurs. 2016 Oct;32(5):357-64. doi: 10.1177/1059840516641190. Epub 2016 Apr 4.

Reference Type BACKGROUND
PMID: 27044668 (View on PubMed)

American Diabetes Association. 13. Children and Adolescents: Standards of Medical Care in Diabetes-2020. Diabetes Care. 2020 Jan;43(Suppl 1):S163-S182. doi: 10.2337/dc20-S013.

Reference Type BACKGROUND
PMID: 31862756 (View on PubMed)

Riddell MC, Gallen IW, Smart CE, Taplin CE, Adolfsson P, Lumb AN, Kowalski A, Rabasa-Lhoret R, McCrimmon RJ, Hume C, Annan F, Fournier PA, Graham C, Bode B, Galassetti P, Jones TW, Millan IS, Heise T, Peters AL, Petz A, Laffel LM. Exercise management in type 1 diabetes: a consensus statement. Lancet Diabetes Endocrinol. 2017 May;5(5):377-390. doi: 10.1016/S2213-8587(17)30014-1. Epub 2017 Jan 24.

Reference Type BACKGROUND
PMID: 28126459 (View on PubMed)

Miculis CP, De Campos W, da Silva Boguszweski MC. Correlation between glycemic control and physical activity level in adolescents and children with type 1 diabetes. J Phys Act Health. 2015 Feb;12(2):232-7. doi: 10.1123/jpah.2013-0024. Epub 2014 Feb 5.

Reference Type BACKGROUND
PMID: 24508755 (View on PubMed)

Nguyen T, Obeid J, Walker RG, Krause MP, Hawke TJ, McAssey K, Vandermeulen J, Timmons BW. Fitness and physical activity in youth with type 1 diabetes mellitus in good or poor glycemic control. Pediatr Diabetes. 2015 Feb;16(1):48-57. doi: 10.1111/pedi.12117. Epub 2014 Jan 20.

Reference Type BACKGROUND
PMID: 24444038 (View on PubMed)

Tully C, Aronow L, Mackey E, Streisand R. Physical Activity in Youth With Type 1 Diabetes: a Review. Curr Diab Rep. 2016 Sep;16(9):85. doi: 10.1007/s11892-016-0779-6.

Reference Type BACKGROUND
PMID: 27475093 (View on PubMed)

Cushing CC, Mitchell TB, Bejarano CM, Walters RW, Crick CJ, Noser AE. Bidirectional Associations Between Psychological States and Physical Activity in Adolescents: A mHealth Pilot Study. J Pediatr Psychol. 2017 Jun 1;42(5):559-568. doi: 10.1093/jpepsy/jsw099.

Reference Type BACKGROUND
PMID: 28131985 (View on PubMed)

Lenhart, A. (2015). Teens, Social Media, & Technology Overview. Retrieved from http://pewinternet.org/2015/04/09/teens-social-media-technology-2015/

Reference Type BACKGROUND

Fedele DA, Cushing CC, Fritz A, Amaro CM, Ortega A. Mobile Health Interventions for Improving Health Outcomes in Youth: A Meta-analysis. JAMA Pediatr. 2017 May 1;171(5):461-469. doi: 10.1001/jamapediatrics.2017.0042.

Reference Type BACKGROUND
PMID: 28319239 (View on PubMed)

Yang CH, Maher JP, Conroy DE. Implementation of behavior change techniques in mobile applications for physical activity. Am J Prev Med. 2015 Apr;48(4):452-5. doi: 10.1016/j.amepre.2014.10.010. Epub 2015 Jan 6.

Reference Type BACKGROUND
PMID: 25576494 (View on PubMed)

Brannon EE, Cushing CC. A systematic review: is there an app for that? Translational science of pediatric behavior change for physical activity and dietary interventions. J Pediatr Psychol. 2015 May;40(4):373-84. doi: 10.1093/jpepsy/jsu108. Epub 2014 Dec 13.

Reference Type BACKGROUND
PMID: 25502745 (View on PubMed)

Michie S, Abraham C, Whittington C, McAteer J, Gupta S. Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychol. 2009 Nov;28(6):690-701. doi: 10.1037/a0016136.

Reference Type BACKGROUND
PMID: 19916637 (View on PubMed)

Militello LK, Melnyk BM, Hekler E, Small L, Jacobson D. Correlates of Healthy Lifestyle Beliefs and Behaviors in Parents of Overweight or Obese Preschool Children Before and After a Cognitive Behavioral Therapy Intervention With Text Messaging. J Pediatr Health Care. 2016 May-Jun;30(3):252-60. doi: 10.1016/j.pedhc.2015.08.002. Epub 2015 Oct 1.

Reference Type BACKGROUND
PMID: 26429638 (View on PubMed)

Cushing CC, Bejarano CM, Ortega A, Sayre N, Fedele DA, Smyth JM. Adaptive mHealth Intervention for Adolescent Physical Activity Promotion. J Pediatr Psychol. 2021 Jun 3;46(5):536-546. doi: 10.1093/jpepsy/jsaa125.

Reference Type BACKGROUND
PMID: 33484137 (View on PubMed)

Carver CS, Scheier MF. Control theory: a useful conceptual framework for personality-social, clinical, and health psychology. Psychol Bull. 1982 Jul;92(1):111-35. No abstract available.

Reference Type BACKGROUND
PMID: 7134324 (View on PubMed)

Cushing CC, Steele RG. A meta-analytic review of eHealth interventions for pediatric health promoting and maintaining behaviors. J Pediatr Psychol. 2010 Oct;35(9):937-49. doi: 10.1093/jpepsy/jsq023. Epub 2010 Apr 14.

Reference Type BACKGROUND
PMID: 20392790 (View on PubMed)

Bergenstal RM, Ahmann AJ, Bailey T, Beck RW, Bissen J, Buckingham B, Deeb L, Dolin RH, Garg SK, Goland R, Hirsch IB, Klonoff DC, Kruger DF, Matfin G, Mazze RS, Olson BA, Parkin C, Peters A, Powers MA, Rodriguez H, Southerland P, Strock ES, Tamborlane W, Wesley DM. Recommendations for standardizing glucose reporting and analysis to optimize clinical decision making in diabetes: the Ambulatory Glucose Profile (AGP). Diabetes Technol Ther. 2013 Mar;15(3):198-211. doi: 10.1089/dia.2013.0051. Epub 2013 Feb 28.

Reference Type BACKGROUND
PMID: 23448694 (View on PubMed)

Patton SR, Clements MA, Fridlington A, Cohoon C, Turpin AL, Delurgio SA. Frequency of mealtime insulin bolus as a proxy measure of adherence for children and youths with type 1 diabetes mellitus. Diabetes Technol Ther. 2013 Feb;15(2):124-8. doi: 10.1089/dia.2012.0229. Epub 2013 Jan 14.

Reference Type BACKGROUND
PMID: 23317372 (View on PubMed)

Laurent J, Catanzaro SJ, Joiner TE, Rudolph KD, Potter KI, Lambert S, Gathright T. A measure of positive and negative affect for children: scale development and preliminary validation. Psychol Assess. 1999; 11: pp. 326.

Reference Type BACKGROUND

Terry PC, Lane AM, Lane HJ, Keohane L. Development and validation of a mood measure for adolescents. J Sports Sci. 1999 Nov;17(11):861-72. doi: 10.1080/026404199365425.

Reference Type BACKGROUND
PMID: 10585166 (View on PubMed)

Levesque CS, Williams GC, Elliot D, Pickering MA, Bodenhamer B, Finley PJ. Validating the theoretical structure of the Treatment Self-Regulation Questionnaire (TSRQ) across three different health behaviors. Health Educ Res. 2007 Oct;22(5):691-702. doi: 10.1093/her/cyl148. Epub 2006 Nov 30.

Reference Type BACKGROUND
PMID: 17138613 (View on PubMed)

Nelson TD, Benson ER, Jensen CD. Negative attitudes toward physical activity: measurement and role in predicting physical activity levels among preadolescents. J Pediatr Psychol. 2010 Jan-Feb;35(1):89-98. doi: 10.1093/jpepsy/jsp040. Epub 2009 May 15.

Reference Type BACKGROUND
PMID: 19447878 (View on PubMed)

Fox KR, Corbin CB. The physical self-perception profile: development and preliminary validation. J Sport Exerc Psychol. 1989; 11:408-430.

Reference Type BACKGROUND

Duncan TE, McAuley E. Social support and efficacy cognitions in exercise adherence: a latent growth curve analysis. J Behav Med. 1993 Apr;16(2):199-218. doi: 10.1007/BF00844893.

Reference Type BACKGROUND
PMID: 8315646 (View on PubMed)

Motl RW, Dishman RK, Trost SG, Saunders RP, Dowda M, Felton G, Ward DS, Pate RR. Factorial validity and invariance of questionnaires measuring social-cognitive determinants of physical activity among adolescent girls. Prev Med. 2000 Nov;31(5):584-94. doi: 10.1006/pmed.2000.0735.

Reference Type BACKGROUND
PMID: 11071840 (View on PubMed)

Lowe MR, Butryn ML, Didie ER, Annunziato RA, Thomas JG, Crerand CE, Ochner CN, Coletta MC, Bellace D, Wallaert M, Halford J. The Power of Food Scale. A new measure of the psychological influence of the food environment. Appetite. 2009 Aug;53(1):114-8. doi: 10.1016/j.appet.2009.05.016. Epub 2009 Jun 12.

Reference Type BACKGROUND
PMID: 19500623 (View on PubMed)

Varni JW, Seid M, Kurtin PS. PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations. Med Care. 2001 Aug;39(8):800-12. doi: 10.1097/00005650-200108000-00006.

Reference Type BACKGROUND
PMID: 11468499 (View on PubMed)

Larsen DL, Attkisson CC, Hargreaves WA, Nguyen TD. Assessment of client/patient satisfaction: development of a general scale. Eval Program Plann. 1979;2(3):197-207. doi: 10.1016/0149-7189(79)90094-6. No abstract available.

Reference Type BACKGROUND
PMID: 10245370 (View on PubMed)

Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O'Neal L, McLeod L, Delacqua G, Delacqua F, Kirby J, Duda SN; REDCap Consortium. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform. 2019 Jul;95:103208. doi: 10.1016/j.jbi.2019.103208. Epub 2019 May 9.

Reference Type BACKGROUND
PMID: 31078660 (View on PubMed)

Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377-81. doi: 10.1016/j.jbi.2008.08.010. Epub 2008 Sep 30.

Reference Type BACKGROUND
PMID: 18929686 (View on PubMed)

Provided Documents

Download supplemental materials such as informed consent forms, study protocols, or participant manuals.

Document Type: Study Protocol and Statistical Analysis Plan

View Document

Document Type: Informed Consent Form

View Document

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

STUDY00002143

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.