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Pilot Sugar Reduction Intervention in Kiritimati Teenagers

Primary Purpose

Type 2 Diabetes, Obesity

Status
Completed
Phase
Not Applicable
Locations
International
Study Type
Interventional
Intervention
Sugar-reduction intervention
Sponsored by
University of Southern California
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional prevention trial for Type 2 Diabetes

Eligibility Criteria

10 Years - 18 Years (Child, Adult)All SexesAccepts Healthy Volunteers

Inclusion Criteria:

  • Enrolled in one of the two high schools on Kiritimati

Exclusion Criteria:

  • > 18 years of age

Sites / Locations

  • University of Southern California
  • Kiritimati

Arms of the Study

Arm 1

Arm 2

Arm Type

No Intervention

Experimental

Arm Label

Control School

Intervention School

Arm Description

This school did not receive intervention (until after the study was completed)

This school received a one-week sugar-reduction intervention

Outcomes

Primary Outcome Measures

Change in mean blood glucose (mg/dL)
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Mean blood glucose was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Change in mean amplitude of glycemic variability (MAGE) (mg/dL)
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Glycemic variability (mean amplitude of glycemic excursions) was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Change in standard deviation (mg/dL) of continuous glucose monitor data
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Glycemic variability (standard deviation) was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Change in coefficient of variation (percent) of continuous glucose monitor data
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Glycemic variability (coefficient of variation (percent) was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Change in J-index of continuous glucose monitor data
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Glycemic variability (J-index) was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Change in area under the curve of continuous glucose monitor data
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Glycemic variability (area under the curve) was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Change in total sugar consumption (g/day) using 24-hour dietary recalls
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in total sugar intake between the control and intervention schools (time x group interaction).
Change in added sugar consumption (g/day) using 24-hour dietary recalls
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in added sugar intake between the control and intervention schools (time x group interaction).
Change in total water consumption (g/day) using 24-hour dietary recalls
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in total water intake between the control and intervention schools (time x group interaction).
Change in unsweetened water consumption (servings/day) using 24-hour dietary recalls
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in unsweetened water intake between the control and intervention schools (time x group interaction).
Change in energy (kcal/day) consumption using 24-hour dietary recalls
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in energy (kcal) intake between the control and intervention schools (time x group interaction).
Change in total carbohydrate (g/day) consumption using 24-hour dietary recalls
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in total carbohydrate intake between the control and intervention schools (time x group interaction).
Change in percent calories from carbohydrate consumption using 24-hour dietary recalls
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in % calories from carbohydrate intake between the control and intervention schools (time x group interaction).
Change in percent calories from total sugars consumption using 24-hour dietary recalls
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in % calories from total sugars intake between the control and intervention schools (time x group interaction).
Change in percent calories from added sugars consumption using 24-hour dietary recalls
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in % calories from added sugars intake between the control and intervention schools (time x group interaction).
Change in sugary beverage (tioka) consumption using beverage frequency questionnaires
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Change in sugary beverage (tang) consumption using beverage frequency questionnaires
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Change in sugary beverage (toddy) consumption using beverage frequency questionnaires
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Change in sugary beverage (ice block) consumption using beverage frequency questionnaires
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Change in sugary beverage (soda) consumption using beverage frequency questionnaires
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Change in sugary beverage (juice) consumption using beverage frequency questionnaires
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Change in sugary beverage (fruit drinks) consumption using beverage frequency questionnaires
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Change in sugary beverage (coffee/tea) consumption using beverage frequency questionnaires
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.

Secondary Outcome Measures

Full Information

First Posted
February 26, 2020
Last Updated
March 24, 2020
Sponsor
University of Southern California
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1. Study Identification

Unique Protocol Identification Number
NCT04319003
Brief Title
Pilot Sugar Reduction Intervention in Kiritimati Teenagers
Official Title
Surveillance of Obesity and Pre-Diabetes/Diabetes in Kiritimati School Children and Lifestyle Modifications to Reduce Risk
Study Type
Interventional

2. Study Status

Record Verification Date
March 2020
Overall Recruitment Status
Completed
Study Start Date
August 3, 2018 (Actual)
Primary Completion Date
September 19, 2018 (Actual)
Study Completion Date
September 19, 2018 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
University of Southern California

4. Oversight

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

5. Study Description

Brief Summary
Kiritimati is an isolated coral atoll in the Pacific Ocean, and is one of 32 islands that comprise the Republic of Kiribati. Obesity and type 2 diabetes rates are high in Kiribati, but the causes and rates of childhood obesity/diabetes are unknown. However, it has been hypothesized that high consumption of sugar-sweetened beverages on Kiritimati may be a contributing factor. The investigators therefore conducted a study in Kiritimati in September 2018 with the aim of 1) quantifying obesity and diabetes rates amongst children on Kiritimati and 2) testing the feasibility of a sugar-reduction intervention in Kiritimati schools. The investigators randomized the two high schools on the island to either the control group or the intervention group. The investigators measured height/weight, continuous blood glucose (using flash glucose monitoring), and diet (using 24-hour diet recalls). One week into the study, the intervention school received an intervention, which consisted of installation of a water filter at the school, the provision of water bottles to each student at the school, and a 30-minute educational presentation on the link between sugar consumption and type 2 diabetes. The investigators then measured how blood glucose and diet changed the week following the intervention, and compared this to the control school.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Type 2 Diabetes, Obesity

7. Study Design

Primary Purpose
Prevention
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
None (Open Label)
Allocation
Randomized
Enrollment
63 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Control School
Arm Type
No Intervention
Arm Description
This school did not receive intervention (until after the study was completed)
Arm Title
Intervention School
Arm Type
Experimental
Arm Description
This school received a one-week sugar-reduction intervention
Intervention Type
Behavioral
Intervention Name(s)
Sugar-reduction intervention
Intervention Description
The intervention consisted of a) installation of a water filter at the school. b) each participant received a metal water bottle. c) a registered dietitian gave a 30-minute presentation on sugar reduction for the purposes of type 2 diabetes prevention
Primary Outcome Measure Information:
Title
Change in mean blood glucose (mg/dL)
Description
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Mean blood glucose was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in mean amplitude of glycemic variability (MAGE) (mg/dL)
Description
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Glycemic variability (mean amplitude of glycemic excursions) was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in standard deviation (mg/dL) of continuous glucose monitor data
Description
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Glycemic variability (standard deviation) was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in coefficient of variation (percent) of continuous glucose monitor data
Description
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Glycemic variability (coefficient of variation (percent) was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in J-index of continuous glucose monitor data
Description
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Glycemic variability (J-index) was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in area under the curve of continuous glucose monitor data
Description
A continuous glucose monitor was attached to all participants, which collected data for 2 weeks. Glycemic variability (area under the curve) was calculated for each participant using GlyCulator, an online tool for analyzing CGM data.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in total sugar consumption (g/day) using 24-hour dietary recalls
Description
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in total sugar intake between the control and intervention schools (time x group interaction).
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in added sugar consumption (g/day) using 24-hour dietary recalls
Description
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in added sugar intake between the control and intervention schools (time x group interaction).
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in total water consumption (g/day) using 24-hour dietary recalls
Description
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in total water intake between the control and intervention schools (time x group interaction).
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in unsweetened water consumption (servings/day) using 24-hour dietary recalls
Description
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in unsweetened water intake between the control and intervention schools (time x group interaction).
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in energy (kcal/day) consumption using 24-hour dietary recalls
Description
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in energy (kcal) intake between the control and intervention schools (time x group interaction).
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in total carbohydrate (g/day) consumption using 24-hour dietary recalls
Description
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in total carbohydrate intake between the control and intervention schools (time x group interaction).
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in percent calories from carbohydrate consumption using 24-hour dietary recalls
Description
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in % calories from carbohydrate intake between the control and intervention schools (time x group interaction).
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in percent calories from total sugars consumption using 24-hour dietary recalls
Description
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in % calories from total sugars intake between the control and intervention schools (time x group interaction).
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in percent calories from added sugars consumption using 24-hour dietary recalls
Description
The investigators conducted 24-hour diet recalls and entered data into the NDSR database for comparison of change in % calories from added sugars intake between the control and intervention schools (time x group interaction).
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in sugary beverage (tioka) consumption using beverage frequency questionnaires
Description
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in sugary beverage (tang) consumption using beverage frequency questionnaires
Description
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in sugary beverage (toddy) consumption using beverage frequency questionnaires
Description
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in sugary beverage (ice block) consumption using beverage frequency questionnaires
Description
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in sugary beverage (soda) consumption using beverage frequency questionnaires
Description
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in sugary beverage (juice) consumption using beverage frequency questionnaires
Description
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in sugary beverage (fruit drinks) consumption using beverage frequency questionnaires
Description
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)
Title
Change in sugary beverage (coffee/tea) consumption using beverage frequency questionnaires
Description
The investigators conducted beverage frequency questionnaires which asked about consumption of popular beverages on Kiritimati (specifically: "how many days per week do you typically drink this drink?" and "how much each day?") then compared change pre-and post-intervention between the two groups (time x group interaction) in servings/day.
Time Frame
2 weeks (1 week pre- and 1 week post-intervention)

10. Eligibility

Sex
All
Minimum Age & Unit of Time
10 Years
Maximum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion Criteria: Enrolled in one of the two high schools on Kiritimati Exclusion Criteria: > 18 years of age
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Elizabeth Beale, MD
Organizational Affiliation
University of Southern California
Official's Role
Principal Investigator
Facility Information:
Facility Name
University of Southern California
City
Los Angeles
State/Province
California
ZIP/Postal Code
90033
Country
United States
Facility Name
Kiritimati
City
London Village
Country
Kiribati

12. IPD Sharing Statement

Plan to Share IPD
No

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Pilot Sugar Reduction Intervention in Kiritimati Teenagers

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