- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02784509
Translational Investigation of Growth and Everyday Routines in Kids (TIGER Kids)
Translational Investigation of Growth and Everyday Routines in Kids (TIGER Kids)
Study Overview
Status
Conditions
Detailed Description
The proposed study will establish a prospective pediatric cohort to identify intervention targets based on the location, timing, barriers, and facilitators of current physical activity and sedentary behavior in a child's day. The project will be a prospective examination of 340 African American and White girls and boys aged 10 to 16 years, including 50% who are classified as severely obese. State-of-the-art technology will be used including accelerometry to quantify physical activity, magnetic resonance imaging to quantify fat accumulation, and geographic position system and ecological momentary assessment to identify environmental and socio-emotional barriers and facilitators. In further detail, this study will examine the following objectives:
Objective 1: Determine the effect of severe obesity on physical activity, sedentary behavior, and cardiometabolic risk factors during childhood and adolescence and whether these associations are modified by race.
Objective 2: Investigate the contribution of (total, regional, and depot-specific) fat accumulation on changes in physical activity, sedentary behavior, and cardiometabolic risk factors during childhood and adolescence.
Objective 3: Determine barriers and facilitators of physical activity that are related to obesity, including environmental and socio-emotional factors.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
Louisiana
-
Baton Rouge, Louisiana, United States, 70808
- Pennington Biomedical Research Center
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age 10-16 years
- Body weight < 500 lbs.
- Ability to understand instructions and complete all study procedures
Exclusion Criteria:
- Pregnant
- On a restrictive diet due to illness
- Significant physical or mental disabilities that impede walking, wearing accelerometer or GPS, or responding to EMA.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Objective 1 Primary Outcome: Change in minutes of sedentary behavior
Time Frame: Year 0 and Year 2
|
Physical activity and sedentary behavior will be measured by a triaxial accelerometer (Actigraph GT3X+, Actigraph of Ft.
Walton Beach, FL).
The participant will be instructed to wear the accelerometer on an elasticized belt, on the left mid-axillary line.
The Actigraph is one of the most common accelerometers used for scientific purposes.
Participants will be encouraged to wear the accelerometer 24-hours per day for at least 7-days (plus an initial familiarization day and the morning of the final day), including 2 weekend days.
Participants will also complete a Lifestyle survey to collect information including diet and physical activity habits.
|
Year 0 and Year 2
|
Objective 2 Primary Outcome: Relationship between total fat accumulation and change in sedentary behavior.
Time Frame: Year 0 and Year 2
|
Body composition will be determined by DXA and MRI.
With DXA, total body fat and trunk fat will be measured by whole-body DXA using a GE iDXA scanner (GE Medical Systems, Milwaukee, WI) to quantify total and regional body fat (including trunk fat).
MRI - Visceral fat, i.e. visceral adipose tissue, will be measured by water-fat shifting MRI using the General Electric Discovery 750w 3.0 Tesla (GE Medical Systems, Milwaukee, WI).
IDEAL-IQ imaging technique will be used to generate water-only, fat-only, in-phase, and out-of-phase echoes in a single acquisition with a 20-second breath-hold.
Sedentary behavior will be measured by a a triaxial accelerometer as described in outcome 1. Participants will also complete a Lifestyle survey to collect information including physical activity habits.
|
Year 0 and Year 2
|
Objective 3 Primary Outcome: Relationship between BMIz and the environmental (or socio-emotional) factors.
Time Frame: Year 0 and Year 2
|
BMIz will be calculated based on the participant's age, height, and weight using the CDC 2000 growth charts.
To identify where physical activity occurs, children will wear the QStarz BT Q1000XT data logger for 7 days concurrent with the ActiGraph GT3X+.
In regards to the environmental factors, parents of participants will complete the Neighborhood Impact on Kids (NIK) survey, and participants will complete a neighborhood perceptions survey.
In regards to socio-emotional factors, participants will complete the Body Image Assessment for Preadolescents, the Mood and Feelings Questionnaire, the Health-Related Quality of Life, the Personal Experiences Checklist related to stress, and the Food Craving Inventory.
Further, participants will record negative and positive affect during a 7-day period by responding to prompts on a mobile phone-based app, using ecological momentary assessment.
|
Year 0 and Year 2
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Objective 1 Secondary Analysis: Change in daily moderate to vigorous physical activity (MVPA) minutes between years.
Time Frame: Year 0 and Year 2
|
MVPA measured by a triaxial accelerometer (Actigraph GT3X+, Actigraph of Ft.
Walton Beach, FL) as described in outcome 1. Participants will also complete a Lifestyle survey to collect information including physical activity habits.
|
Year 0 and Year 2
|
Objective 1 Secondary Analysis: Change in days/week of physical activity between years.
Time Frame: Year 0 and Year 2
|
MVPA measured by a triaxial accelerometer (Actigraph GT3X+, Actigraph of Ft.
Walton Beach, FL) as described in outcome 1. Participants will also complete a Lifestyle survey to collect information including physical activity habits.
|
Year 0 and Year 2
|
Objective 2 Secondary Analysis: Relationship between fat mass accumulation and change in physical activity.
Time Frame: Year 0 and Year 2
|
Body composition will be determined by DXA and MRI.
With DXA, total body fat and trunk fat will be measured by whole-body DXA using a GE iDXA scanner (GE Medical Systems, Milwaukee, WI) to quantify total and regional body fat (including trunk fat).
MRI - Visceral fat, i.e. visceral adipose tissue, will be measured by water-fat shifting MRI using the General Electric Discovery 750w 3.0 Tesla (GE Medical Systems, Milwaukee, WI).
IDEAL-IQ imaging technique will be used to generate water-only, fat-only, in-phase, and out-of-phase echoes in a single acquisition with a 20-second breath-hold.
Physical Activity will be measured by a triaxial accelerometer as described in outcome 1. Participants will also complete a Lifestyle survey to collect information including physical activity habits.
|
Year 0 and Year 2
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Amanda E Staiano, PhD, PBRC Assistant Professor
Publications and helpful links
General Publications
- Staiano AE, Katzmarzyk PT. Visceral, subcutaneous, and total fat mass accumulation in a prospective cohort of adolescents. Am J Clin Nutr. 2022 Sep 2;116(3):780-785. doi: 10.1093/ajcn/nqac129.
- Fowler LA, Kracht CL, Denstel KD, Stewart TM, Staiano AE. Bullying experiences, body esteem, body dissatisfaction, and the moderating role of weight status among adolescents. J Adolesc. 2021 Aug;91:59-70. doi: 10.1016/j.adolescence.2021.07.006. Epub 2021 Jul 29.
- Fearnbach SN, Johannsen NM, Martin CK, Katzmarzyk PT, Beyl RA, Hsia DS, Carmichael OT, Staiano AE. A Pilot Study of Cardiorespiratory Fitness, Adiposity, and Cardiometabolic Health in Youth With Overweight and Obesity. Pediatr Exerc Sci. 2020 Apr 25;32(3):124-131. doi: 10.1123/pes.2019-0192.
- Kracht CL, Champagne CM, Hsia DS, Martin CK, Newton RL Jr, Katzmarzyk PT, Staiano AE. Association Between Meeting Physical Activity, Sleep, and Dietary Guidelines and Cardiometabolic Risk Factors and Adiposity in Adolescents. J Adolesc Health. 2020 Jun;66(6):733-739. doi: 10.1016/j.jadohealth.2019.12.011. Epub 2020 Jan 25.
- Kepper MM, Staiano AE, Broyles ST. The Potential for Bias across GPS-Accelerometer Combined Wear Criteria among Adolescents. Int J Environ Res Public Health. 2022 May 13;19(10):5931. doi: 10.3390/ijerph19105931.
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 (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- PBRC 2016-028
- 3092-51000-04A (Other Grant/Funding Number: USDA)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Childhood Obesity
-
Universiteit LeidenWageningen University; Nutricia, Inc.; Danone ResearchCompletedChildhood Obesity | Childhood Overweight | Vegetable Acceptance in Early ChildhoodNetherlands
-
Vanderbilt University Medical CenterActive, not recruitingPediatric Obesity | Childhood Obesity | Childhood Onset ObesityUnited States
-
Tehran University of Medical SciencesUnknownChildhood Obesity PreventionIran, Islamic Republic of
-
Oregon State UniversityCompletedChildhood Obesity Prevention
-
The Miriam HospitalHassenfeld Child Health Innovation InstituteCompletedChildhood Obesity PreventionUnited States
-
Fundacion para la Formacion e Investigacion Sanitarias...UnknownChildhood Obesity PreventionSpain
-
Tampere UniversitySeinajoki Central Hospital; Tampere University Hospital; Foundation for Paediatric... and other collaboratorsCompleted
-
Cornell UniversityCompletedChildhood Obesity Prevention
-
Harokopio UniversityCompletedPrevention of Childhood ObesityGreece
-
University of Alabama at BirminghamCompletedObesity, Childhood | Overweight, ChildhoodUnited States