Not provided
Not provided
Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| 3092-51000-04A | Other Grant/Funding Number | USDA |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| USDA Beltsville Human Nutrition Research Center | FED |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
The purpose of this study is to 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. Additionally, the study will investigate the contributions of (total, regional, and depot-specific) fat accumulation on changes in physical activity, sedentary behavior, and cardiometabolic risk factors during childhood and adolescence.
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.
Not provided
Not provided
Not provided
Not provided
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| Objective 1 Primary Outcome: Change in Minutes of Sedentary Behavior, Light Physical Activity, and Moderate-to-vigorous Physical Activity | 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. | Baseline and Year 2 |
| Objective 2 Primary Outcome: Relationship Between Total Fat Accumulation and Change in Sedentary Behavior - Visceral Adipose Tissue | 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. | Baseline and Year 2 |
| Objective 2 Primary Outcome: Relationship Between Total Fat Accumulation and Change in Sedentary Behavior - Adiposity | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Objective 1 Secondary Analysis: Change in Daily Moderate to Vigorous Physical Activity (MVPA) Minutes Between Years. | 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. | Baseline and Year 2 |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
The study aims to identify and recruit 340 boys and girls aged 10 to 16 years. The sample will be screened on the telephone in attempt to achieve a comparable sex and race distribution. An oversample will be taken for severely obese youth so they comprise approximately 50% of the sample (with the other 50% being distributed among normal weight, overweight, and obese status).
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Amanda E Staiano, PhD | PBRC Assistant Professor | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Pennington Biomedical Research Center | Baton Rouge | Louisiana | 70808 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33858416 | Background | Kracht CL, Beyl RA, Maher JP, Katzmarzyk PT, Staiano AE. Adolescents' sedentary time, affect, and contextual factors: An ecological momentary assessment study. Int J Behav Nutr Phys Act. 2021 Apr 15;18(1):53. doi: 10.1186/s12966-021-01121-y. | |
| 32479369 | Background | Kepper MM, Staiano AE, Katzmarzyk PT, Reis RS, Eyler AA, Griffith DM, Kendall ML, ElBanna B, Denstel KD, Broyles ST. Using mixed methods to understand women's parenting practices related to their child's outdoor play and physical activity among families living in diverse neighborhood environments. Health Place. 2020 Mar;62:102292. doi: 10.1016/j.healthplace.2020.102292. Epub 2020 Feb 5. |
| Label | URL |
|---|---|
| Temporal Changes in Energy-Balance Behaviors and Home Factors in Adolescents with Normal Weight and Those with Overweight or Obesity | View source |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| FG000 | TIGER Kids Sample | 342 boys and girls ages 10 to 16 years from every weight category (normal weight, overweight, and obese). Used state-of-the-art technology, including activity trackers and global positioning system (GPS) information, to track physical activity, imaging to measure body fat, and messages sent through a mobile phone app (called ecological momentary assessment) to identify what motivates or prevents kids from being physically active. Participants attended an orientation session at Pennington Biomedical to learn about the study, sign consent and receive their activity tracking tools. These tools were returned at clinic visit approximately 1 week later. Assessments include body measurements, blood pressure, surveys, blood draw, dietary recall and body composition. Participants will repeated the activity monitor tracking and a second clinic visit 2 years later. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| BG000 | TIGER Kids Sample | 342 boys and girls ages 10 to 16 years from every weight category (normal weight, overweight, and obese). Used state-of-the-art technology, including activity trackers and global positioning system (GPS) information, to track physical activity, imaging to measure body fat, and messages sent through a mobile phone app (called ecological momentary assessment) to identify what motivates or prevents kids from being physically active. Participants attended an orientation session at Pennington Biomedical to learn about the study, sign consent and receive their activity tracking tools. These tools were returned at clinic visit approximately 1 week later. Assessments include body measurements, blood pressure, surveys, blood draw, dietary recall and body composition. Participants will repeated the activity monitor tracking and a second clinic visit 2 years later. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Objective 1 Primary Outcome: Change in Minutes of Sedentary Behavior, Light Physical Activity, and Moderate-to-vigorous Physical Activity | 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. | 284/342 children had complete accelerometry data and were therefore included in analysis. | Posted | Mean | Standard Deviation | Minutes measured from accelerometers | Baseline and Year 2 |
|
2 years 3 months
Not provided
Not provided
| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | TIGER Kids Sample | 342 boys and girls ages 10 to 16 years from every weight category (normal weight, overweight, and obese). Used state-of-the-art technology, including activity trackers and global positioning system (GPS) information, to track physical activity, imaging to measure body fat, and messages sent through a mobile phone app (called ecological momentary assessment) to identify what motivates or prevents kids from being physically active. Participants attended an orientation session at Pennington Biomedical to learn about the study, sign consent and receive their activity tracking tools. These tools were returned at clinic visit approximately 1 week later. Assessments include body measurements, blood pressure, surveys, blood draw, dietary recall and body composition. Participants will repeated the activity monitor tracking and a second clinic visit 2 years later. |
Not provided
Not provided
A limitation to assessing sedentary behavior, affect, & context is measuring them in real-time outside of the laboratory setting. Real-time assessment of these may better address complexities of daily life. Another limitation is that the current study does not have access to the CoreScan proprietary algorithm, which impedes algorithm-specific recommendations. Population level differences may provide insight to software developers & researchers on the systematic differences between techniques.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Amanda Staiano | LSU's Pennington Biomedical Research Center | 225.763.2500 | amanda.staiano@pbrc.edu |
Not provided
| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Mar 19, 2021 | Jun 23, 2023 | Prot_SAP_000.pdf |
| ICF | No | No | Yes | Informed Consent Form | Sep 2, 2016 | Jun 21, 2023 | ICF_001.pdf |
Not provided
| ID | Term |
|---|---|
| D063766 | Pediatric Obesity |
| D009043 | Motor Activity |
| D057185 | Sedentary Behavior |
| ID | Term |
|---|---|
| D009765 | Obesity |
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
Not provided
Not provided
Not provided
Not provided
Not provided
An aliquot of sample will be stored in case further tests are needed and if further consent is obtained from the subject.
| Baseline and Year 2 |
| Objective 2 Primary Outcome: Relationship Between Total Fat Accumulation and Change in Sedentary Behavior - Body Fat (%) | 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. | Baseline and Year 2 |
| Objective 2 Primary Outcome: Relationship Between Total Fat Accumulation and Change in Sedentary Behavior. - Waist Circumfrence | 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. | Baseline and Year 2 |
| Objective 1 Secondary Analysis: Change in Days/Week of Physical Activity Between Years. | 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. | Baseline and Year 2 |
| Objective 2 Secondary Analysis: Relationship Between Fat Mass Accumulation and Change in Physical Activity. | 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. | Baseline and Year 2 |
| 32499526 | Background | Kracht CL, Katzmarzyk PT, Staiano AE. Comparison of abdominal visceral adipose tissue measurements in adolescents between magnetic resonance imaging and dual-energy X-ray absorptiometry. Int J Obes (Lond). 2021 Jan;45(1):104-108. doi: 10.1038/s41366-020-0621-8. Epub 2020 Jun 4. |
| 31987725 | Background | 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. |
| 31614711 | Background | Kepper MM, Staiano AE, Katzmarzyk PT, Reis RS, Eyler AA, Griffith DM, Kendall ML, ElBanna B, Denstel KD, Broyles ST. Neighborhood Influences on Women's Parenting Practices for Adolescents' Outdoor Play: A Qualitative Study. Int J Environ Res Public Health. 2019 Oct 12;16(20):3853. doi: 10.3390/ijerph16203853. |
| 31801259 | Background | Kracht CL, Chaput JP, Martin CK, Champagne CM, Katzmarzyk PT, Staiano AE. Associations of Sleep with Food Cravings, Diet, and Obesity in Adolescence. Nutrients. 2019 Nov 30;11(12):2899. doi: 10.3390/nu11122899. |
| 35977103 | Background | Kracht CL, Katzmarzyk PT, Champagne CM, Broyles ST, Hsia DS, Newton RL Jr, Staiano AE. Association between Sleep, Sedentary Time, Physical Activity, and Adiposity in Adolescents: A Prospective Observational Study. Med Sci Sports Exerc. 2023 Jan 1;55(1):110-118. doi: 10.1249/MSS.0000000000003018. Epub 2022 Aug 12. |
| 35544287 | Background | 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. |
| 34333320 | Background | 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. |
| 37897452 | Background | Hu K, Button AM, Tate CM, Kracht CL, Champagne CM, Staiano AE. Adolescent Diet Quality, Cardiometabolic Risk, and Adiposity: A Prospective Cohort. J Nutr Educ Behav. 2023 Dec;55(12):851-860. doi: 10.1016/j.jneb.2023.10.003. Epub 2023 Oct 27. |
| 37675056 | Background | Chen S, Kracht CL, Beyl RA, Staiano AE. Temporal Changes in Energy-Balance Behaviors and Home Factors in Adolescents with Normal Weight and Those with Overweight or Obesity. Int J Phys Act Health. 2023;2(2):5. doi: 10.18122/ijpah.020205.boisestate. |
| 37658323 | Background | Denstel KD, Beyl RA, Danos DM, Kepper MM, Staiano AE, Theall KT, Tseng TS, Broyles ST. An examination of the relationships between the neighborhood social environment, adiposity, and cardiometabolic disease risk in adolescence: a cross-sectional study. BMC Public Health. 2023 Sep 1;23(1):1692. doi: 10.1186/s12889-023-16580-0. |
| 36724791 | Background | Kracht CL, Pochana SS, Staiano AE. Associations Between Moderate to Vigorous Physical Activity, Sedentary Behavior, and Depressive Symptomatology in Adolescents: A Prospective Observational Cohort Study. J Phys Act Health. 2023 Feb 1;20(3):250-257. doi: 10.1123/jpah.2022-0345. Print 2023 Mar 1. |
| 35055781 | Background | Kracht CL, Wilburn JG, Broyles ST, Katzmarzyk PT, Staiano AE. Association of Night-Time Screen-Viewing with Adolescents' Diet, Sleep, Weight Status, and Adiposity. Int J Environ Res Public Health. 2022 Jan 15;19(2):954. doi: 10.3390/ijerph19020954. |
| 41800195 | Derived | Suarez-Reyes M, Button AM, Beyl RA, Katzmarzyk PT, Staiano AE. Family, social, and built environment: examining associations with physical activity and sedentary time in adolescents. Front Sports Act Living. 2026 Feb 19;8:1709140. doi: 10.3389/fspor.2026.1709140. eCollection 2026. |
| 35627467 | Derived | 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. |
| 32335525 | Derived | 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. |
| Associations Between Moderate to Vigorous Physical Activity, Sedentary Behavior, and Depressive Symptomatology in Adolescents: A Prospective Observational Cohort Study | View source |
| The Potential for Bias across GPS-Accelerometer Combined Wear Criteria among Adolescents | View source |
| Participants |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
342 boys and girls ages 10 to 16 years from every weight category (normal weight, overweight, and obese). Used state-of-the-art technology, including activity trackers and global positioning system (GPS) information, to track physical activity, imaging to measure body fat, and messages sent through a mobile phone app (called ecological momentary assessment) to identify what motivates or prevents kids from being physically active. Participants attended an orientation session at Pennington Biomedical to learn about the study, sign consent and receive their activity tracking tools. These tools were returned at clinic visit approximately 1 week later. Assessments include body measurements, blood pressure, surveys, blood draw, dietary recall and body composition. Participants will repeated the activity monitor tracking and a second clinic visit 2 years later. |
|
|
| Primary | Objective 2 Primary Outcome: Relationship Between Total Fat Accumulation and Change in Sedentary Behavior - Visceral Adipose Tissue | 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. | 251 children out of 342 had complete data and were therefore included in analysis. | Posted | Mean | Standard Deviation | liters | Baseline and Year 2 |
|
|
|
| Primary | Objective 2 Primary Outcome: Relationship Between Total Fat Accumulation and Change in Sedentary Behavior - Adiposity | 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. | 251 children out of 342 had complete data and were therefore included in analysis. | Posted | Mean | Standard Deviation | grams | Baseline and Year 2 |
|
|
|
| Primary | Objective 2 Primary Outcome: Relationship Between Total Fat Accumulation and Change in Sedentary Behavior - Body Fat (%) | 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. | 251 children out of 342 had complete data and were therefore included in analysis. | Posted | Mean | Standard Deviation | percentage of body fat | Baseline and Year 2 |
|
|
|
| Primary | Objective 2 Primary Outcome: Relationship Between Total Fat Accumulation and Change in Sedentary Behavior. - Waist Circumfrence | 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. | 251 children out of 342 had complete data and were therefore included in analysis. | Posted | Mean | Standard Deviation | cm | Baseline and Year 2 |
|
|
|
| Secondary | Objective 1 Secondary Analysis: Change in Daily Moderate to Vigorous Physical Activity (MVPA) Minutes Between Years. | 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. | 323 participants had accelerometry data for Year 0 and 213 participants had accelerometry data for Year 2 | Posted | Mean | Standard Deviation | Minutes/day | Baseline and Year 2 |
|
|
|
| Secondary | Objective 1 Secondary Analysis: Change in Days/Week of Physical Activity Between Years. | 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. | 323/213 participants had accelerometry data in Year 0/Year 2 | Posted | Mean | Standard Deviation | Days/week | Baseline and Year 2 |
|
|
|
| Secondary | Objective 2 Secondary Analysis: Relationship Between Fat Mass Accumulation and Change in Physical Activity. | 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. | 217 children out of 342 hand complete data and were therefore included in the analysis | Posted | Mean | Standard Deviation | Kilograms | Baseline and Year 2 |
|
|
|
| 0 |
| 342 |
| 0 |
| 342 |
| 0 |
| 342 |
Not provided
Not provided
| D009750 |
| Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D001519 | Behavior |
|
| Title | Measurements |
|---|---|
|
| Lean mass |
|
| Fat mass |
|