Obesity Clinical Trial
Official title:
Wellness Program Implementation: School & Student Toolkits
| NCT number | NCT02277496 |
| Other study ID # | 2013-2056 |
| Secondary ID | |
| Status | Completed |
| Phase | N/A |
| First received | |
| Last updated | |
| Start date | July 2013 |
| Est. completion date | June 30, 2018 |
| Verified date | January 2018 |
| Source | Albert Einstein College of Medicine, Inc. |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
The project is designed to evaluate a participatory implementation model in HealthCorps (HC)
high schools and to assess outcomes within and across school settings . The behavioral
objectives from the 2010 Dietary Guidelines to address obesity in youth include: 1)
decreasing sugary beverage intake; 2) increasing frequency of breakfast; 3) increasing
vegetable and fruit intake to 2½ cups per day;4) decreasing frequency of fast food meals;5)
becoming physically active (goal of 1 hour per day); and 6) reducing sedentary behavior time
(<2 hour day). The study is employing system dynamics modeling (SDM) to assess wellness
programming options and to evaluate the program implementation within the context of diverse
school ecologies. The RE-AIM evaluation metric (Reach, Effectiveness, Adoption,
Implementation, and Maintenance) is used to guide SDM development and validation.
The Specific Aims are:
1. To use PAR (Participatory Action Research) methods to refine the school wellness program
model and toolkit components that address institutional/community level program
implementation barriers and individual level barriers to achieving healthy lifestyle
recommendations.
2. To assess the effectiveness of program components using process evaluation techniques
guided by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance)
model.
3. To evaluate implementation with system dynamics modeling to facilitate dissemination.
The simulation analysis will apply the RE-AIM framework to address: Reach (participation
rates), effectiveness (outcomes), adoption (acceptability), implementation (intervention
fidelity), and maintenance (sustainability of lifestyle changes by students and programs
by schools), in order to facilitate refining the toolkits and training program for
dissemination to other school setting and diverse educational venues.
| Status | Completed |
| Enrollment | 14520 |
| Est. completion date | June 30, 2018 |
| Est. primary completion date | June 30, 2018 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | All |
| Age group | 14 Years to 20 Years |
| Eligibility |
Inclusion Criteria: - Students (grades 9-12). Exclusion Criteria: |
| Country | Name | City | State |
|---|---|---|---|
| United States | Albert Einstein College of Medicine | Bronx | New York |
| Lead Sponsor | Collaborator |
|---|---|
| Albert Einstein College of Medicine, Inc. | HealthCorps |
United States,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Other | Effects of Goal Setting | Student goal setting behaviors and perceived outcomes will be measured by the research team. This includes the type of goals, the quality of the goals (defined as S-specific, M-measurable, A-actiona oriented, R-realistic, and T-time bound), and the students' perceived success. | 12 months | |
| Primary | Key Behaviors | The primary dependent variables will be the following key behaviors: physical activity, sugary beverage consumptions, fruit and vegetable consumptions and breakfast eating. Scores of these primary study outcomes will be measured annually by administering the high school survey and analyzed cross-sectionally. | 12 months | |
| Secondary | Effect of weight changes | The investigators will conduct exploratory analysis to test the effect of weight changes on behavior changes, regardless of intervention assignments. To this end, the investigators will again apply mixed effects linear models in which the dependent variables will be changes in the behavior variables and independent variables will be indicator for direction of changes in BMI z-scores. | 12 months |
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