search
Back to results

"MyPlan" - Individualized Eating Patterns for Adolescents With Type 1 Diabetes

Primary Purpose

Type 1 Diabetes

Status
Completed
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
"MyPlan" - Individualized Eating Pattern
Sponsored by
University of North Carolina, Chapel Hill
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Type 1 Diabetes focused on measuring Diabetes Mellitus, Type 1, Feeding Behavior, Glycemic Control

Eligibility Criteria

12 Years - 17 Years (Child)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Youth 12-17 years old
  • History of T1D of at least one year
  • HbA1c 8-11%
  • 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.

Sites / Locations

  • University of North Carolina at Chapel Hill
  • University of Cincinnati

Arms of the Study

Arm 1

Arm Type

Experimental

Arm Label

"MyPlan" - Individualized Eating Pattern

Arm Description

All youth enrolled in the study will receive the 6-month MyPlan behavioral intervention. Youth will be paired with a dietitian to individualize the eating plan and receive support in setting and refining action plans focused on adhering to the five eating behavior goals that define the eating plan.

Outcomes

Primary Outcome Measures

Change in percent time in range
Change in percentage of time spent in the glycemic range of 70-180 mg/dL between 22-24 week and 0-2 week blinded continuous glucose monitor (CGM) wear time.

Secondary Outcome Measures

Mean adherence to each of the personalized eating behavior goals
Two unannounced 24-hour dietary recalls (1 weekday and 1 weekend day) collected during 22-24 weeks of blinded CGM wear time will be used to assess average continuous percent deviation from each personalized eating behavior goal: 3-4 meals (>15% CHO) and 1-2 snacks consumed; Spacing of meals/snacks (e.g., >2 hours and <4 hours apart); Personalized carbohydrate gram target ranges at each meal and snack; No snacking after dinner; Snack/meal consumed within 1-2 hours of waking;
Mean adherence to personalized eating behavior pattern
The average of the average percent deviations from each personalized eating behavior goal for an overall measure of adherence to the eating behavior pattern, as assessed via two unannounced 24-hour dietary recalls (1 weekday and 1 weekend day) collected during 22-24 weeks of blinded CGM wear time: 3-4 meals (>15% CHO) and 1-2 snacks consumed; Spacing of meals/snacks (e.g., >2 hours and <4 hours apart); Personalized carbohydrate gram target ranges at each meal and snack; No snacking after dinner; Snack/meal consumed within 1-2 hours of waking;
Percentage of time participant adhered to each personalized eating behavior goal
Two unannounced 24-hour dietary recalls (1 weekday and 1 weekend day) collected during 22-24 weeks blinded CGM wear time will be used to assess the percentage of time participants followed each of the personalized eating behavior goals: 3-4 meals (>15% CHO) and 1-2 snacks consumed; Spacing of meals/snacks (e.g., >2 hours and <4 hours apart); Personalized carbohydrate gram target ranges at each meal and snack; No snacking after dinner; Snack/meal consumed within 1-2 hours of waking;
Mean number of personalized eating behavior goals adhered to by participants
Two unannounced 24-hour dietary recalls (1 weekday and 1 weekend day) collected during the 22-24 weeks blinded CGM wear time will be used to assess the average number of personalized eating behavior goals (range: 0-5) adhered to by participants.
Guardian composite acceptability score
Composite acceptability scores (range: 0-8) will be calculated from ordinal responses to 8 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. Acceptability assessment will be filled out at 26 weeks of the study. Higher composite acceptability scores indicate greater acceptability of the eating plan (0 - unacceptable to 8 - highly acceptable).
Youth composite acceptability score
Composite acceptability scores (range: 0-8) will be calculated from ordinal responses to 8 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. Acceptability assessment will be filled out at 26 weeks of the study. Higher composite acceptability scores indicate greater acceptability of the eating plan (0 - unacceptable to 8 - highly acceptable).
Change in hemoglobin A1c percentage
Change in point-of-care hemoglobin A1c (HbA1c) percentage.

Full Information

First Posted
November 29, 2021
Last Updated
June 21, 2023
Sponsor
University of North Carolina, Chapel Hill
Collaborators
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), University of Cincinnati
search

1. Study Identification

Unique Protocol Identification Number
NCT05147324
Brief Title
"MyPlan" - Individualized Eating Patterns for Adolescents With Type 1 Diabetes
Official Title
Individualized Eating Patterns to Improve Glycemic Control in Adolescents With Type 1 Diabetes: A Pilot Clinical Trial
Study Type
Interventional

2. Study Status

Record Verification Date
June 2023
Overall Recruitment Status
Completed
Study Start Date
December 13, 2021 (Actual)
Primary Completion Date
April 24, 2023 (Actual)
Study Completion Date
April 24, 2023 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
University of North Carolina, Chapel Hill
Collaborators
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), University of Cincinnati

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes

5. Study Description

Brief Summary
The purpose of this study is to test the acceptability and effectiveness of an individualized eating strategy as part of diabetes self-management to improve glycemic levels among youth with type 1 diabetes (T1D) and suboptimal glycemic management. Investigators will assess participant acceptability of and adherence to a 6-month individualized eating strategy ("MyPlan") characterized by approximate day-to-day consistency in the frequency and timing of meals and snacks and distribution of carbohydrate throughout the day. Within-individual change in glycemic levels between baseline and 6-months of the study will also be compared. The goal of the study is to inform the design of a future randomized clinical trial to test the addition of the MyPlan eating strategy to ongoing diabetes clinical care among youth with T1D.
Detailed Description
This is a pilot, single-arm clinical trial to assess whether "MyPlan" is an acceptable and effective dietary strategy to be included in future fully powered trials aimed at optimizing diabetes outcomes in youth with T1D. Youth and guardian dyads will be enrolled for a total of 6 months, during which time dyads will be counseled to follow an individualized eating plan defined by five eating behavior goals: 3-4 meals per day and 1-2 optional snacks; eating occasions no less than 2 hours or greater than 4 hours apart; target carbohydrate ranges for each eating occasion; no post-dinner snacking; eating occasion within 1-2 hours of waking. The plan, including the eating behavior goals, will be tailored to youth and family routines and preferences. Registered dieticians will support participant adherence to the plan via telehealth counseling sessions on a weekly basis for the first 2 months followed by bi-weekly sessions for 4 months. Investigators will assess a) acceptability of the eating plan and counseling strategy according to youth and guardians; b) youth adherence to the five eating behavior targets; c) change in youth glycemic levels between baseline and 6-months.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Type 1 Diabetes
Keywords
Diabetes Mellitus, Type 1, Feeding Behavior, Glycemic Control

7. Study Design

Primary Purpose
Treatment
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
N/A
Enrollment
44 (Actual)

8. Arms, Groups, and Interventions

Arm Title
"MyPlan" - Individualized Eating Pattern
Arm Type
Experimental
Arm Description
All youth enrolled in the study will receive the 6-month MyPlan behavioral intervention. Youth will be paired with a dietitian to individualize the eating plan and receive support in setting and refining action plans focused on adhering to the five eating behavior goals that define the eating plan.
Intervention Type
Behavioral
Intervention Name(s)
"MyPlan" - Individualized Eating Pattern
Other Intervention Name(s)
"MyPlan"
Intervention Description
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 plan 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 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 eating plan at three months is based on weight status, adherence according to logs, and youth/guardian acceptability.
Primary Outcome Measure Information:
Title
Change in percent time in range
Description
Change in percentage of time spent in the glycemic range of 70-180 mg/dL between 22-24 week and 0-2 week blinded continuous glucose monitor (CGM) wear time.
Time Frame
Baseline (Week 0) and Week 24
Secondary Outcome Measure Information:
Title
Mean adherence to each of the personalized eating behavior goals
Description
Two unannounced 24-hour dietary recalls (1 weekday and 1 weekend day) collected during 22-24 weeks of blinded CGM wear time will be used to assess average continuous percent deviation from each personalized eating behavior goal: 3-4 meals (>15% CHO) and 1-2 snacks consumed; Spacing of meals/snacks (e.g., >2 hours and <4 hours apart); Personalized carbohydrate gram target ranges at each meal and snack; No snacking after dinner; Snack/meal consumed within 1-2 hours of waking;
Time Frame
Week 24
Title
Mean adherence to personalized eating behavior pattern
Description
The average of the average percent deviations from each personalized eating behavior goal for an overall measure of adherence to the eating behavior pattern, as assessed via two unannounced 24-hour dietary recalls (1 weekday and 1 weekend day) collected during 22-24 weeks of blinded CGM wear time: 3-4 meals (>15% CHO) and 1-2 snacks consumed; Spacing of meals/snacks (e.g., >2 hours and <4 hours apart); Personalized carbohydrate gram target ranges at each meal and snack; No snacking after dinner; Snack/meal consumed within 1-2 hours of waking;
Time Frame
Week 24
Title
Percentage of time participant adhered to each personalized eating behavior goal
Description
Two unannounced 24-hour dietary recalls (1 weekday and 1 weekend day) collected during 22-24 weeks blinded CGM wear time will be used to assess the percentage of time participants followed each of the personalized eating behavior goals: 3-4 meals (>15% CHO) and 1-2 snacks consumed; Spacing of meals/snacks (e.g., >2 hours and <4 hours apart); Personalized carbohydrate gram target ranges at each meal and snack; No snacking after dinner; Snack/meal consumed within 1-2 hours of waking;
Time Frame
Week 24
Title
Mean number of personalized eating behavior goals adhered to by participants
Description
Two unannounced 24-hour dietary recalls (1 weekday and 1 weekend day) collected during the 22-24 weeks blinded CGM wear time will be used to assess the average number of personalized eating behavior goals (range: 0-5) adhered to by participants.
Time Frame
Week 24
Title
Guardian composite acceptability score
Description
Composite acceptability scores (range: 0-8) will be calculated from ordinal responses to 8 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. Acceptability assessment will be filled out at 26 weeks of the study. Higher composite acceptability scores indicate greater acceptability of the eating plan (0 - unacceptable to 8 - highly acceptable).
Time Frame
Week 26
Title
Youth composite acceptability score
Description
Composite acceptability scores (range: 0-8) will be calculated from ordinal responses to 8 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. Acceptability assessment will be filled out at 26 weeks of the study. Higher composite acceptability scores indicate greater acceptability of the eating plan (0 - unacceptable to 8 - highly acceptable).
Time Frame
Week 26
Title
Change in hemoglobin A1c percentage
Description
Change in point-of-care hemoglobin A1c (HbA1c) percentage.
Time Frame
Baseline (Week 0) and Endline (Week 26)

10. Eligibility

Sex
All
Minimum Age & Unit of Time
12 Years
Maximum Age & Unit of Time
17 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
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.
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Elizabeth J Mayer-Davis, PhD
Organizational Affiliation
University of North Carolina, Chapel Hill
Official's Role
Principal Investigator
First Name & Middle Initial & Last Name & Degree
Sarah Couch, PhD
Organizational Affiliation
University of Cincinnati
Official's Role
Principal Investigator
Facility Information:
Facility Name
University of North Carolina at Chapel Hill
City
Chapel Hill
State/Province
North Carolina
ZIP/Postal Code
27599
Country
United States
Facility Name
University of Cincinnati
City
Cincinnati
State/Province
Ohio
ZIP/Postal Code
45267-0394
Country
United States

12. IPD Sharing Statement

Plan to Share IPD
Yes
IPD Sharing Plan Description
Deidentified individual data that supports the results will be shared beginning 36 months following publication provided the investigator who proposes to use the data has approval from an Institutional Review Board (IRB), Independent Ethics Committee (IEC), or Research Ethics Board (REB), as applicable, and executes a data use/sharing agreement with the University of North Carolina at Chapel Hill (UNC).
IPD Sharing Time Frame
Beginning 36 months following publication. No end date.
IPD Sharing Access Criteria
The investigator who proposes to use the data has approval from an IRB, IEC, or REB, as applicable, and an executed data use/sharing agreement with UNC.
Citations:
PubMed Identifier
8040759
Citation
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.
Results Reference
background
PubMed Identifier
16371630
Citation
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.
Results Reference
background
PubMed Identifier
25562265
Citation
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.
Results Reference
background
PubMed Identifier
25998289
Citation
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.
Results Reference
background
PubMed Identifier
25182313
Citation
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.
Results Reference
background
PubMed Identifier
7698052
Citation
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.
Results Reference
background
PubMed Identifier
18721165
Citation
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.
Results Reference
background
PubMed Identifier
17687538
Citation
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.
Results Reference
background
PubMed Identifier
29708292
Citation
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.
Results Reference
background
PubMed Identifier
10376780
Citation
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.
Results Reference
background
PubMed Identifier
27872155
Citation
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.
Results Reference
background
PubMed Identifier
506977
Citation
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.
Results Reference
background
PubMed Identifier
1607574
Citation
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.
Results Reference
background
PubMed Identifier
24490619
Citation
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.
Results Reference
background
PubMed Identifier
25766507
Citation
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.
Results Reference
background
PubMed Identifier
22853720
Citation
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.
Results Reference
background
PubMed Identifier
20032278
Citation
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.
Results Reference
background
PubMed Identifier
18346503
Citation
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.
Results Reference
background
PubMed Identifier
29277316
Citation
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.
Results Reference
background
PubMed Identifier
30119757
Citation
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.
Results Reference
background

Learn more about this trial

"MyPlan" - Individualized Eating Patterns for Adolescents With Type 1 Diabetes

We'll reach out to this number within 24 hrs