Pilot Sugar Reduction Intervention in Kiritimati Teenagers
Surveillance of Obesity and Pre-Diabetes/Diabetes in Kiritimati School Children and Lifestyle Modifications to Reduce Risk
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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London Village, Kiribati
- Kiritimati
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California
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Los Angeles, California, United States, 90033
- University of Southern California
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Enrolled in one of the two high schools on Kiritimati
Exclusion Criteria:
- > 18 years of age
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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No Intervention: Control School
This school did not receive intervention (until after the study was completed)
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Experimental: Intervention School
This school received a one-week sugar-reduction intervention
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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
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Change in mean blood glucose (mg/dL)
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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.
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in mean amplitude of glycemic variability (MAGE) (mg/dL)
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
|
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.
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in standard deviation (mg/dL) of continuous glucose monitor data
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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.
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2 weeks (1 week pre- and 1 week post-intervention)
|
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Change in coefficient of variation (percent) of continuous glucose monitor data
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
|
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.
|
2 weeks (1 week pre- and 1 week post-intervention)
|
|
Change in J-index of continuous glucose monitor data
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
|
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.
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in area under the curve of continuous glucose monitor data
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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.
|
2 weeks (1 week pre- and 1 week post-intervention)
|
|
Change in total sugar consumption (g/day) using 24-hour dietary recalls
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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).
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in added sugar consumption (g/day) using 24-hour dietary recalls
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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).
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in total water consumption (g/day) using 24-hour dietary recalls
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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).
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in unsweetened water consumption (servings/day) using 24-hour dietary recalls
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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).
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in energy (kcal/day) consumption using 24-hour dietary recalls
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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).
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in total carbohydrate (g/day) consumption using 24-hour dietary recalls
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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).
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in percent calories from carbohydrate consumption using 24-hour dietary recalls
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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).
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in percent calories from total sugars consumption using 24-hour dietary recalls
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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).
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in percent calories from added sugars consumption using 24-hour dietary recalls
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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).
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in sugary beverage (tioka) consumption using beverage frequency questionnaires
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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.
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in sugary beverage (tang) consumption using beverage frequency questionnaires
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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.
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in sugary beverage (toddy) consumption using beverage frequency questionnaires
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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.
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in sugary beverage (ice block) consumption using beverage frequency questionnaires
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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.
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in sugary beverage (soda) consumption using beverage frequency questionnaires
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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.
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in sugary beverage (juice) consumption using beverage frequency questionnaires
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
|
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.
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in sugary beverage (fruit drinks) consumption using beverage frequency questionnaires
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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.
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2 weeks (1 week pre- and 1 week post-intervention)
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Change in sugary beverage (coffee/tea) consumption using beverage frequency questionnaires
Time Frame: 2 weeks (1 week pre- and 1 week post-intervention)
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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.
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2 weeks (1 week pre- and 1 week post-intervention)
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Elizabeth Beale, MD, University of Southern California
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- HS-18-00505
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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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