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| ID | Type | Description | Link |
|---|---|---|---|
| U54MD008602-P02UAB | Other Grant/Funding Number | UAB | |
| U54MD008602 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute on Minority Health and Health Disparities (NIMHD) | NIH |
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Objective is to examine the physical activity and screen-time behaviors of children enrolled in licensed childcare centers before and after the enactment of new state regulations.
Pause and Play aims to enroll 266 children. Each child will participate in the study for approximately 1 year. Surveys, anthropometric measures, and screen-time observations will take approximately 1 day each to complete, and the child will be given an accelerometer to wear at home for 7 days at both baseline and 1 year follow-up. Fundamental motor skill assessments will take place at baseline and 1 year follow-up after the 7 days of accelerometer wear. Staff members will spend approximately 2 weeks at each childcare center at baseline and 1 year follow-up to complete study procedures with each child.
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| Measure | Description | Time Frame |
|---|---|---|
| Changes in Objective Child Physical Activity | Physical activity will be measured with a 7 day accelerometer at baseline and 1 year, including minutes/day MVPA in childcare center, minutes/day MVPA total. Physical activity and time spent in moderate to vigorous physical activity will be measured by a triaxial accelerometer (Actigraph GT3X+, Actigraph of Ft. Walton Beach, FL). Children will be measured on 7 full days during the baseline and follow-up periods.The Actigraph is one of the most common accelerometers used for scientific purposes, and the GT3X+ version provides extensive data on steps/day and time spent in various activity intensities. The research team will ask the parents to have the children wear the accelerometer for additional days (to a maximum of 14 days) to ensure that minimal data requirements are met. | 1 Year |
| Measure | Description | Time Frame |
|---|---|---|
| Changes in Classroom Observation of Child Screen-time | Classroom observation of child screen-time will be measured with the Environment and Policy Assessment and Observation (EPAO) method to quantify average minutes/day screen-time in childcare center. Screen time will be assessed using classroom observation at the childcare center (from the EPAO observation in Aim 1). Results are reflecting changes in screen-time. |
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Inclusion Criteria:
Exclusion Criteria:
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Ten licensed DOE Class A or B childcare centers will be randomly selected from a list of all DOE licensed childcare centers in East Baton Rouge Parish (EBR). From the ten centers, 266 children and their parent(s) will be recruited to complete additional measures of physical activity and screen-time behaviors.
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| 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 |
|---|---|---|---|
| 29755053 | Result | Staiano AE, Allen AT, Fowler W, Gustat J, Kepper MM, Lewis L, Martin CK, Romain JS, Webster EK. State Licensing Regulations on Screen Time in Childcare Centers: An Impetus for Participatory Action Research. Prog Community Health Partnersh. 2018;12(1S):101-109. doi: 10.1353/cpr.2018.0025. | |
| 30199286 | Result | Staiano AE, Webster EK, Allen AT, Jarrell AR, Martin CK. Screen-Time Policies and Practices in Early Care and Education Centers in Relationship to Child Physical Activity. Child Obes. 2018 Aug/Sep;14(6):341-348. doi: 10.1089/chi.2018.0078. |
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Children were recruited from 10 local preschool centers. Parents were not recruited or enrolled in this study, but they did complete surveys to assess for efficacy.
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| ID | Title | Description |
|---|---|---|
| FG000 | ECE Center Changes Between Baseline and Follow-up | Assessed differences in total EPAO score at baseline, follow-up, and overall change by policy engagement category (no engagement, some engagement, high engagement). |
| Title | Milestones | Reasons Not Completed | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | ECE Center Changes Between Baseline and Follow-up | Assessed differences in total EPAO score at baseline, follow-up, and overall change by policy engagement category (no engagement, some engagement, high engagement). |
| Units | Counts |
|---|---|
| Participants |
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| 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 | Changes in Objective Child Physical Activity | Physical activity will be measured with a 7 day accelerometer at baseline and 1 year, including minutes/day MVPA in childcare center, minutes/day MVPA total. Physical activity and time spent in moderate to vigorous physical activity will be measured by a triaxial accelerometer (Actigraph GT3X+, Actigraph of Ft. Walton Beach, FL). Children will be measured on 7 full days during the baseline and follow-up periods.The Actigraph is one of the most common accelerometers used for scientific purposes, and the GT3X+ version provides extensive data on steps/day and time spent in various activity intensities. The research team will ask the parents to have the children wear the accelerometer for additional days (to a maximum of 14 days) to ensure that minimal data requirements are met. | Posted | Mean | Standard Deviation | minutes | 1 Year |
|
1 year
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | ECE Center Changes Between Baseline and Follow-up | Assessed differences in total EPAO score at baseline, follow-up, and overall change by policy engagement category (no engagement, some engagement, high engagement). |
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The timing of some assessments occurred into 2017 due to delays, there's a chance ECE centers changed their policy after the regulations were first released thus the baseline data collection was not a true baseline. However, this study did utilize handbooks for policy scoring & baseline policies were dated for the 2016-2017 school year. Another limitation is that ECE centers were aware of the day of observation, there's a potential the center made changes to present as a healthier environment.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Amanda Staiano | LSU's Pennington Biomedical Research Center | 225.763.2500 | amanda.staiano@pbrc.edu |
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| 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 | Oct 17, 2016 | Jun 28, 2023 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D063766 | Pediatric Obesity |
| D009043 | Motor Activity |
| D057185 | Sedentary Behavior |
| ID | Term |
|---|---|
| D009765 | Obesity |
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
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| 1 year |
| Parent Reports of Child Screen Time | Parent reports of child screen time to quantify minutes/day screen-time total. Parents will complete a survey adapted to provide information about the child's screen-time (separately for TV, computer, games console and smartphone) on weekdays and weekend days. For each item the parent will be asked to report the time the child spent using it for (a) a normal weekday and (b) a normal weekend day, with response options: none; 1 to 30 minutes; 31 minutes to 1 hour; 1 to 2 hours; 2 to 3 hours; 3 to 4 hours; 4 hours or more. The assessment of TV viewing using parental report has been shown to correlate moderately (r=0.60) with 10 days of TV diaries among young children. | 1 Year |
| Sedentary Behavior and Physical Activity | Cross-sectional and longitudinal associations among sedentary behavior (by screen-time observation/self-report and accelerometry) and physical activity (by accelerometry). The mean and standard deviation for time sedentary behavior and physical activity are presented in the table below. | 1 year |
| Fundamental Motor Skills | Cross-sectional and longitudinal associations among Test of Gross Motor Development, 3rd edition (TGMD-3), and subscales (Ball Skills and Locomotor Skills). The TGMD-3 is a process-oriented assessment designed to assess gross motor performance of young children age 3-10 years. The total score for each item is established by the summation of all performance criteria scores for both trials, which are accumulated to determine the total locomotor and ball skills subtest scores and the overall TGMD-3 raw score for gross motor performance The maximum score a participant can obtain on locomotor is 46, for ball skills its 54, and overall gross motor performance is 100. The minimum score a child can receive is 0. Higher scores indicate better performance. Lower scores help identify delays and deficits in gross motor development in early childhood. | 1 year |
| 32209069 | Result | Kracht CL, Webster EK, Staiano AE. A natural experiment of state-level physical activity and screen-time policy changes early childhood education (ECE) centers and child physical activity. BMC Public Health. 2020 Mar 24;20(1):387. doi: 10.1186/s12889-020-08533-8. |
| 31384633 | Result | Joseph ED, Kracht CL, St Romain J, Allen AT, Barbaree C, Martin CK, Staiano AE. Young Children's Screen Time and Physical Activity: Perspectives of Parents and Early Care and Education Center Providers. Glob Pediatr Health. 2019 Jul 24;6:2333794X19865856. doi: 10.1177/2333794X19865856. eCollection 2019. |
| 30997257 | Result | Webster EK, Martin CK, Staiano AE. Fundamental motor skills, screen-time, and physical activity in preschoolers. J Sport Health Sci. 2019 Mar;8(2):114-121. doi: 10.1016/j.jshs.2018.11.006. Epub 2018 Nov 24. |
| Result | Martins, C., Webster, E. K., Bandeira, P. F. R., & Staiano, A. E. (2022). Identifying Fundamental Motor Skills Building Blocks in Preschool Children From Brazil and the United States: A Network Analysis. Journal of Motor Learning and Development, 10(1), 96-115. Retrieved Mar 27, 2024, from https://doi.org/10.1123/jmld.2021-0022 |
| 32653249 | Result | Kracht CL, Webster EK, Staiano AE. Relationship between the 24-Hour Movement Guidelines and fundamental motor skills in preschoolers. J Sci Med Sport. 2020 Dec;23(12):1185-1190. doi: 10.1016/j.jsams.2020.06.021. Epub 2020 Jul 5. |
| 31491748 | Result | Kracht CL, Webster EK, Staiano AE. Sociodemographic Differences in Young Children Meeting 24-Hour Movement Guidelines. J Phys Act Health. 2019 Oct 1;16(10):908-915. doi: 10.1123/jpah.2019-0018. Epub 2019 Sep 6. |
| Participants |
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| Sex: Female, Male | Count of Participants | Participants |
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| Race/Ethnicity, Customized | Count of Participants | Participants |
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Assessed differences in total EPAO score at baseline, follow-up, and overall change by policy engagement category (no engagement, some engagement, high engagement).
|
|
| Secondary | Changes in Classroom Observation of Child Screen-time | Classroom observation of child screen-time will be measured with the Environment and Policy Assessment and Observation (EPAO) method to quantify average minutes/day screen-time in childcare center. Screen time will be assessed using classroom observation at the childcare center (from the EPAO observation in Aim 1). Results are reflecting changes in screen-time. | Posted | Mean | Standard Deviation | minutes/day | 1 year |
|
|
|
| Secondary | Parent Reports of Child Screen Time | Parent reports of child screen time to quantify minutes/day screen-time total. Parents will complete a survey adapted to provide information about the child's screen-time (separately for TV, computer, games console and smartphone) on weekdays and weekend days. For each item the parent will be asked to report the time the child spent using it for (a) a normal weekday and (b) a normal weekend day, with response options: none; 1 to 30 minutes; 31 minutes to 1 hour; 1 to 2 hours; 2 to 3 hours; 3 to 4 hours; 4 hours or more. The assessment of TV viewing using parental report has been shown to correlate moderately (r=0.60) with 10 days of TV diaries among young children. | 110 parents completed the screen time survey in year 1. In Year 2 this dropped to 36. Some questions only one or two parents did not answer. All questions | Posted | Count of Participants | Participants | 1 Year |
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| Secondary | Sedentary Behavior and Physical Activity | Cross-sectional and longitudinal associations among sedentary behavior (by screen-time observation/self-report and accelerometry) and physical activity (by accelerometry). The mean and standard deviation for time sedentary behavior and physical activity are presented in the table below. | 107 participants had complete physical activity and screen-time data sets at Baseline. Researchers followed up a year later- at this follow-up time, 53 participants had complete data sets at baseline and follow-up. "Cross-sectional" arm presents the mean number of hours participants spent in light physical activity, moderate-to-vigorous physical activity, and screen time - at baseline. The "Longitudinal" arm presents means at follow-up. | Posted | Mean | Standard Deviation | hours per day | 1 year |
|
|
|
| Secondary | Fundamental Motor Skills | Cross-sectional and longitudinal associations among Test of Gross Motor Development, 3rd edition (TGMD-3), and subscales (Ball Skills and Locomotor Skills). The TGMD-3 is a process-oriented assessment designed to assess gross motor performance of young children age 3-10 years. The total score for each item is established by the summation of all performance criteria scores for both trials, which are accumulated to determine the total locomotor and ball skills subtest scores and the overall TGMD-3 raw score for gross motor performance The maximum score a participant can obtain on locomotor is 46, for ball skills its 54, and overall gross motor performance is 100. The minimum score a child can receive is 0. Higher scores indicate better performance. Lower scores help identify delays and deficits in gross motor development in early childhood. | 107 participants had complete physical activity and screen-time data sets at Baseline. Researchers followed up a year later- at this follow-up time, 53 participants had complete data sets at baseline and follow-up. "Cross-sectional" arm presents the mean number of hours participants spent in light physical activity, moderate-to-vigorous physical activity, and screen time - at baseline. The "Longitudinal" arm presents means at follow-up. | Posted | Mean | Standard Deviation | Raw Score | 1 year |
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| 0 |
| 112 |
| 0 |
| 112 |
| 0 |
| 112 |
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| D009750 |
| Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D001519 | Behavior |
| Title | Measurements |
|---|---|
|
| 1 hour |
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| 2 hours |
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| 3 hours |
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| 4 hours |
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| 5 hours |
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| More than 5 hours |
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| None, my child does not watch TV or videos |
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| Monthly average of computer hours/day outside of school. |
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| Monthly average of video games outside of school. |
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| Monthly average of smartphone use hours/day outside of school. |
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| Monthly average of ipad/tablet use hours/day outside of school. |
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| Screen-time |
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| Total TGMD-3 |
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