- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05147324
"MyPlan" - Individualized Planned Eating Patterns for Adolescents With Type 1 Diabetes
Individualized Planned Eating Patterns to Improve Glycemic Management in Adolescents With Type 1 Diabetes: A Pilot Clinical Trial
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Angelica Cristello Sarteau, MSPH
- Phone Number: 6178239470
- Email: angcri@live.unc.edu
Study Locations
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North Carolina
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Chapel Hill, North Carolina, United States, 27599
- University of North Carolina At Chapel Hill
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Ohio
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Cincinnati, Ohio, United States, 45267-0394
- University of Cincinnati
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Youth 12-17 years old
- History of T1D of at least one year
- HbA1c 7.5-11%
- Guardian willing to also participate
- English as preferred language
Exclusion Criteria:
- Youth with other metabolic disorders, unstable thyroid disease, diagnosed eating disorders, prohibitively strict dietary restrictions, or those with other serious condition that renders participation inappropriate.
- Females who are pregnant, breast feeding, planning to become pregnant during the study period or delivered a baby in the last 12 months.
- Unwillingness to follow a personalized eating plan for 6 months or complete MyFitnessPal logs at least 3 days/week throughout the study.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: "MyPlan" - Individualized Planned Eating Pattern
All youth enrolled in the study will receive the 6-month MyPlan behavioral intervention.
Youth and their guardian will be paired with a dietitian to individualize the eating pattern and receive support in setting and refining action plans focused on adhering to the five eating behavior goals that define the eating pattern.
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Sessions involve a structured behavior change counseling module derived from FLEX (NCT01286350), DASH-4-Teens (NCT00585832), and a Social Cognitive Theory and Transtheoretical Model informed conceptual framework, which uses education, motivation and self-efficacy enhancement, goal setting, and problem-solving skills training to initiate and sustain eating pattern adherence.
Sessions support incremental progress towards meeting all five eating behavior goals by helping youth develop action plans, troubleshoot barriers to adherence, and refine action plans to improve adherence.
Youth log in MyFitnessPal at least three days per week.
Logs are used to assess and troubleshoot adherence, support youth in developing and refining action plans, and reward youth with points.
Incentives are allocated using a point scheme designed to promote logging and goal achievement.
Formal adjustment of the eating pattern is based on adherence according to logs and youth/guardian acceptability.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Percent Time in Range (Baseline)
Time Frame: Baseline (Week 0-2)
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Percentage of time spent in the glycemic range of 70-180 mg/dL between Baseline week 0-2 week of blinded continuous glucose monitor (CGM) wear time.
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Baseline (Week 0-2)
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Percent Time in Range (Week 22-24)
Time Frame: Week 22-24
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Percentage of time spent in the glycemic range of 70-180 mg/dL during Week 22-24 of blinded continuous glucose monitor (CGM) wear time.
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Week 22-24
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Adherence to Each Eating Behavior Goal
Time Frame: Between Week 22 and Week 24
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Percentage of participants who adhered to each eating behavior goal assessed through two unannounced 24-hour dietary recalls (1 weekday and 1 weekend day) collected during Week 22-24: Goal 1. 3-4 meals and 0-2 snacks; Goal 2. Spacing of meals/snacks >2 hours and <4 hours apart; Goal 3. Carbohydrate gram target ranges at meals (>15% daily carbohydrate) and snacks; Goal 4. No snacking after dinner; Goal 5. Meal/snack consumed ≤2 hours of waking; |
Between Week 22 and Week 24
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Adherence to 0-5 Eating Behavior Goals
Time Frame: Between Week 22 and Week 24
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Percentage of participants who adhered to 0-5 eating behavior goals assessed through two unannounced 24-hour dietary recalls (1 weekday and 1 weekend day) collected during Week 22 - 24. Goal 1. 3-4 meals and 0-2 snacks; Goal 2. Spacing of meals/snacks >2 hours and <4 hours apart Goal 3. Carbohydrate gram target ranges at meals (>15% daily carbohydrate) and snacks Goal 4. No snacking after dinner Goal 5. Meal/snack consumed ≤2 hours of waking |
Between Week 22 and Week 24
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Mean Adherence to Overall Eating Behavior Pattern
Time Frame: Between Week 22 and Week 24
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Mean number of eating behavior goals (range: 0-5) adhered to by participants as assessed through two unannounced 24-hour dietary recalls (1 weekday and 1 weekend day) collected during Week 22 - 24: Goal 1. 3-4 meals and 0-2 snacks; Goal 2. Spacing of meals/snacks >2 hours and <4 hours apart; Goal 3. Carbohydrate gram target ranges at meals (>15% daily carbohydrate) and snacks; Goal 4. No snacking after dinner; Goal 5. Meal/snack consumed ≤2 hours of waking; |
Between Week 22 and Week 24
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Mean Acceptability Score (Youth)
Time Frame: Week 26
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Mean composite acceptability score (range: 5-20) calculated from Likert responses (1- Strongly Agree, 2- Agree, 3- Disagree, 4- Strongly Disagree) to 5 items from an instrument that captures ease of eating pattern adoption, satisfaction, food enjoyment, sustainability, and ease of blood sugar management as perceived by youth.
Lower composite acceptability scores indicate greater acceptability (5 - highly acceptable 20 - highly unacceptable).
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Week 26
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Acceptability Percentage (Youth)
Time Frame: Week 26
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Percentage of youth with a mean acceptability score (range: 5-20) <=10.
Lower acceptability scores indicate greater acceptability (5 - highly acceptable 20 - highly unacceptable) where a score >10 indicates the eating pattern is unacceptable.
Scores calculated from Likert responses (1- Strongly Agree 2- Agree 3- Disagree 4- Strongly Disagree) to 5 scored items from an instrument that captures ease of eating pattern adoption, satisfaction, food enjoyment, sustainability, and ease of blood sugar management as perceived by youth.
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Week 26
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Mean Acceptability Score (Guardian)
Time Frame: Week 26
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Mean composite acceptability score (range: 5-20) calculated from Likert responses (1- Strongly Agree, 2- Agree, 3- Disagree, 4- Strongly Disagree) to 5 items from an instrument that captures ease of eating pattern adoption, satisfaction, food enjoyment, sustainability, and ease of blood sugar management as perceived by youth's guardian.
Lower composite acceptability scores indicate greater acceptability (5 - highly acceptable 20 - highly unacceptable).
|
Week 26
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Acceptability Percentage (Guardian)
Time Frame: Week 26
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Percentage of guardians with a mean acceptability score (range: 5-20) <=10.
Lower acceptability scores indicate greater acceptability (5 - highly acceptable 20 - highly unacceptable) where a score >10 indicates the eating pattern is unacceptable.
Scores calculated from Likert responses (1- Strongly Agree 2- Agree 3- Disagree 4- Strongly Disagree) to 5 scored items from an instrument that captures ease of eating pattern adoption, satisfaction, food enjoyment, sustainability, and ease of blood sugar management as perceived by youth's guardian.
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Week 26
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in Hemoglobin A1c Percentage
Time Frame: Baseline (Week 0) and Endline (Week 26)
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Change in point-of-care hemoglobin A1c (HbA1c) percentage.
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Baseline (Week 0) and Endline (Week 26)
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Elizabeth J Mayer-Davis, PhD, University of North Carolina, Chapel Hill
- Principal Investigator: Sarah Couch, PhD, University of Cincinnati
Publications and helpful links
General Publications
- Miller KM, Foster NC, Beck RW, Bergenstal RM, DuBose SN, DiMeglio LA, Maahs DM, Tamborlane WV; T1D Exchange Clinic Network. Current state of type 1 diabetes treatment in the U.S.: updated data from the T1D Exchange clinic registry. Diabetes Care. 2015 Jun;38(6):971-8. doi: 10.2337/dc15-0078.
- Nathan DM, Cleary PA, Backlund JY, Genuth SM, Lachin JM, Orchard TJ, Raskin P, Zinman B; Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Study Research Group. Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med. 2005 Dec 22;353(25):2643-53. doi: 10.1056/NEJMoa052187.
- Effect of intensive diabetes treatment on the development and progression of long-term complications in adolescents with insulin-dependent diabetes mellitus: Diabetes Control and Complications Trial. Diabetes Control and Complications Trial Research Group. J Pediatr. 1994 Aug;125(2):177-88. doi: 10.1016/s0022-3476(94)70190-3.
- Markowitz JT, Butler DA, Volkening LK, Antisdel JE, Anderson BJ, Laffel LM. Brief screening tool for disordered eating in diabetes: internal consistency and external validity in a contemporary sample of pediatric patients with type 1 diabetes. Diabetes Care. 2010 Mar;33(3):495-500. doi: 10.2337/dc09-1890. Epub 2009 Dec 23.
- Beaton GH, Milner J, Corey P, McGuire V, Cousins M, Stewart E, de Ramos M, Hewitt D, Grambsch PV, Kassim N, Little JA. Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am J Clin Nutr. 1979 Dec;32(12):2546-59. doi: 10.1093/ajcn/32.12.2546. No abstract available.
- Writing Group for the DCCT/EDIC Research Group; Orchard TJ, Nathan DM, Zinman B, Cleary P, Brillon D, Backlund JY, Lachin JM. Association between 7 years of intensive treatment of type 1 diabetes and long-term mortality. JAMA. 2015 Jan 6;313(1):45-53. doi: 10.1001/jama.2014.16107.
- Smart CE, Annan F, Bruno LP, Higgins LA, Acerini CL; International Society for Pediatric and Adolescent Diabetes. ISPAD Clinical Practice Consensus Guidelines 2014. Nutritional management in children and adolescents with diabetes. Pediatr Diabetes. 2014 Sep;15 Suppl 20:135-53. doi: 10.1111/pedi.12175. No abstract available.
- Weissberg-Benchell J, Glasgow AM, Tynan WD, Wirtz P, Turek J, Ward J. Adolescent diabetes management and mismanagement. Diabetes Care. 1995 Jan;18(1):77-82. doi: 10.2337/diacare.18.1.77.
- Overby NC, Margeirsdottir HD, Brunborg C, Anderssen SA, Andersen LF, Dahl-Jorgensen K; Norwegian Study Group for Childhood Diabetes. Physical activity and overweight in children and adolescents using intensified insulin treatment. Pediatr Diabetes. 2009 Apr;10(2):135-41. doi: 10.1111/j.1399-5448.2008.00454.x. Epub 2008 Aug 20.
- Overby NC, Margeirsdottir HD, Brunborg C, Andersen LF, Dahl-Jorgensen K. The influence of dietary intake and meal pattern on blood glucose control in children and adolescents using intensive insulin treatment. Diabetologia. 2007 Oct;50(10):2044-51. doi: 10.1007/s00125-007-0775-0. Epub 2007 Aug 9.
- Li C, D'Agostino RB Jr, Dabelea D, Liese AD, Mayer-Davis EJ, Pate R, Merchant AT. Longitudinal association between eating frequency and hemoglobin A1c and serum lipids in diabetes in the SEARCH for Diabetes in Youth study. Pediatr Diabetes. 2018 Apr 30:10.1111/pedi.12690. doi: 10.1111/pedi.12690. Online ahead of print.
- Wolever TM, Hamad S, Chiasson JL, Josse RG, Leiter LA, Rodger NW, Ross SA, Ryan EA. Day-to-day consistency in amount and source of carbohydrate intake associated with improved blood glucose control in type 1 diabetes. J Am Coll Nutr. 1999 Jun;18(3):242-7. doi: 10.1080/07315724.1999.10718858.
- International Hypoglycaemia Study Group. Glucose Concentrations of Less Than 3.0 mmol/L (54 mg/dL) Should Be Reported in Clinical Trials: A Joint Position Statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2017 Jan;40(1):155-157. doi: 10.2337/dc16-2215. Epub 2016 Nov 21. No abstract available.
- Posner BM, Smigelski C, Duggal A, Morgan JL, Cobb J, Cupples LA. Validation of two-dimensional models for estimation of portion size in nutrition research. J Am Diet Assoc. 1992 Jun;92(6):738-41. No abstract available.
- Kozey Keadle S, Lyden K, Hickey A, Ray EL, Fowke JH, Freedson PS, Matthews CE. Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation. Int J Behav Nutr Phys Act. 2014 Feb 3;11:12. doi: 10.1186/1479-5868-11-12.
- Clark BK, Pavey TG, Lim RF, Gomersall SR, Brown WJ. Past-day recall of sedentary time: Validity of a self-reported measure of sedentary time in a university population. J Sci Med Sport. 2016 Mar;19(3):237-241. doi: 10.1016/j.jsams.2015.02.001. Epub 2015 Feb 21.
- Maahs DM, Mayer-Davis E, Bishop FK, Wang L, Mangan M, McMurray RG. Outpatient assessment of determinants of glucose excursions in adolescents with type 1 diabetes: proof of concept. Diabetes Technol Ther. 2012 Aug;14(8):658-64. doi: 10.1089/dia.2012.0053.
- Couch SC, Saelens BE, Levin L, Dart K, Falciglia G, Daniels SR. The efficacy of a clinic-based behavioral nutrition intervention emphasizing a DASH-type diet for adolescents with elevated blood pressure. J Pediatr. 2008 Apr;152(4):494-501. doi: 10.1016/j.jpeds.2007.09.022. Epub 2007 Nov 5.
- Kichler JC, Seid M, Crandell J, Maahs DM, Bishop FK, Driscoll KA, Standiford D, Hunter CM, Mayer-Davis E. The Flexible Lifestyle Empowering Change (FLEX) intervention for self-management in adolescents with type 1 diabetes: Trial design and baseline characteristics. Contemp Clin Trials. 2018 Mar;66:64-73. doi: 10.1016/j.cct.2017.12.006. Epub 2017 Dec 24.
- Mayer-Davis EJ, Maahs DM, Seid M, Crandell J, Bishop FK, Driscoll KA, Hunter CM, Kichler JC, Standiford D, Thomas JM; FLEX Study Group. Efficacy of the Flexible Lifestyles Empowering Change intervention on metabolic and psychosocial outcomes in adolescents with type 1 diabetes (FLEX): a randomised controlled trial. Lancet Child Adolesc Health. 2018 Sep;2(9):635-646. doi: 10.1016/S2352-4642(18)30208-6. Epub 2018 Jul 30.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 21-1337
- 1R21DK125033-01A1 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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