Middle-School Based Primary Prevention Trial of Type 2 Diabetes (HEALTHY)
|ClinicalTrials.gov Identifier: NCT00458029|
Recruitment Status : Completed
First Posted : April 9, 2007
Last Update Posted : June 1, 2011
|Condition or disease||Intervention/treatment||Phase|
|Type 2 Diabetes||Behavioral: integrated program of nutrition, activity, behavior, and promotion||Phase 3|
Hide Detailed Description
In response to increases in incident cases of type 2 diabetes in American children and youth, NIDDK funded a multi-site primary prevention trial designed to moderate risk for type 2 diabetes in middle school aged children. In pilot studies, it was found that an indicator of adiposity, a body mass index greater than the 85th percentile for gender and age, was the most prevalent, modifiable risk factor for diabetes in this age group. In addition, indicators of insulin resistance and dysglycemia, elevated mean fasting insulin and glucose levels, were assessed to determine if the intervention was capable of reducing these risk factors for diabetes in middle school aged children.
The trial was conducted at 7 field centers in 42 middle schools randomly assigned to intervention or control. Following student recruitment and baseline data collection in the first semester of 6th grade (2006), the intervention was implemented in the second semester of 6th grade (2007) and continued throughout 7th (school year 2007-2008) and 8th (school year 2008-2009) grades. All students were exposed to components of the intervention, which were implemented school-wide or grade-wide; however, only students who provided appropriate informed consent and assent participated in data collection and evaluation. The primary objective of the trial was to determine if, at the end of the 8th grade, the intervention significantly impacted the risk for developing type 2 diabetes compared to control.
Six pilot studies were performed to collect data to guide the development of an intervention. The prior studies focused on:
- Establishing the feasibility of recruiting students and obtaining physical and physiological measurements, including fasting and 2-hour post glucose load blood draws (early 2003).
- Evaluating a physical education (PE) class program designed to increase moderate-to-vigorous physical activity (late 2003).
- Testing the ability of a nutrition intervention to change food and beverage offerings in school food service and vending (early 2004).
- Implementing a program that integrated the PE class and food service nutrition interventions with a communications and awareness campaign (fall 2004).
- Determining the feasibility of a behavior change intervention, delivered through in-class and other school settings and family outreach, to accomplish self monitoring and goal setting (fall 2005).
- Evaluating PE class activities targeting 7th and 8th graders and a training and support program to motivate PE teacher buy-in and adherence (fall 2005).
Formative research was conducted to inform the creation of all intervention components.
Based on a comprehensive review of the literature and the pilot study results, a robust multi-component intervention was developed to impact the environment and lifestyle choices of middle school children. The intervention consisted of the following integrated components:
- changes in the nutritional quality of food and beverage offerings throughout the total school food environment, including cafeteria meals and programs, a la carte, and vending machines;
- changes in the physical education (PE) program, equipment, and teacher training to increase both participation and number of minutes spent in moderate-to-vigorous physical activity when implemented by PE teachers in PE class;
- brief classroom activities designed to increase knowledge, enhance decision making skills, promote peer involvement and interaction, and enhance social influence;
- individual and group behavior change initiatives aimed at promoting healthier behaviors through self monitoring, goal setting, and problem solving;
- family outreach to involve parents/guardians and family members by providing information and strategies to support youth in accomplishing behavioral goals; and
- school-wide communications to enhance and promote changes in nutrition, activity, and behavior.
In addition to the primary objective of affecting risk for T2D, major secondary objectives were to: further understand and characterize the etiology of risk of T2D in this age group; evaluate the ability of the intervention to influence lifestyle changes and choices both in and out of school; determine the cost-effectiveness of the intervention; compare academic performance, attendance, and comportment in intervention versus control schools; and describe the influence of non-study changes in the school environment that affect student nutrition and physical activity. Finally, data were collected to evaluate the degree to which the components of the intervention were delivered and administered as planned.
|Study Type :||Interventional (Clinical Trial)|
|Actual Enrollment :||4603 participants|
|Intervention Model:||Parallel Assignment|
|Masking:||None (Open Label)|
|Official Title:||Studies to Treat Or Prevent Pediatric Type 2 Diabetes (STOPP-T2D) Middle-School Based Primary Prevention Trial (HEALTHY)|
|Study Start Date :||August 2006|
|Primary Completion Date :||June 2009|
|Study Completion Date :||February 2011|
integration of activities, events, and programs affecting total school food service environment, physical education class, behavior change, promotion, and communications
Behavioral: integrated program of nutrition, activity, behavior, and promotion
implemented across 5 half-year periods: winter/spring 2007, fall 2007, winter/spring 2007, fall 2008, winter/spring 2008
No Intervention: 2
- Body mass index (BMI) >= 85th percentile, adjusted for gender and age [ Time Frame: baseline, end of 7th grade, end of study ]
- Fasting glucose (mg/dL) [ Time Frame: baseline, end of study ]
- Fasting insulin (mU/mL) [ Time Frame: baseline, end of study ]
- Lipids (total cholesterol, HDL, LDL, triglycerides) [ Time Frame: baseline, end of study ]
- Other laboratory indicators of diabetes and obesity risk, such as HbA1c [ Time Frame: baseline, end of study ]
- Blood pressure [ Time Frame: baseline, end of study ]
- Waist circumference [ Time Frame: baseline, end of study ]
- Physical activity [ Time Frame: baseline, end of study ]
- Sedentary behavior [ Time Frame: baseline, end of study ]
- Fitness [ Time Frame: baseline, end of study ]
- Daily nutritional intake [ Time Frame: baseline, end of study ]
- PE class activity level (MVPA by heart rate monitor) [ Time Frame: baseline, end of 7th grade, end of study ]
- Quality-adjusted life years saved (QALYS) [ Time Frame: baseline, end of 7th grade, end of study ]
- Total school food environment amounts and nutrients [ Time Frame: baseline, end of 7th grade, end of study ]
- Grade and school level state standardized test score pass rates [ Time Frame: end of 6th, 7th, 8th grades ]
- Grade and school level attendance rates [ Time Frame: end of 6th, 7th, 8th grades ]
- Grade and school level comportment rates (i.e., referral to administrative offices for disciplinary action) [ Time Frame: end of 6th, 7th, 8th grades ]
- Costs associated with intervention delivery and administration [ Time Frame: once per intervention semester (5 x) ]
- Decisions, policies, and activities at the school, local, state, or federal level that influence the school environment for nutrition and physical activity [ Time Frame: once per year (3 x) ]
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00458029
|United States, California|
|University of California at Irvine|
|Irvine, California, United States, 92868|
|United States, Maryland|
|George Washington University Biostatistics Center|
|Rockville, Maryland, United States, 20852|
|United States, North Carolina|
|University of North Carolina at Chapel Hill|
|Chapell Hill, North Carolina, United States, 27599|
|United States, Oregon|
|Oregon Health & Science University|
|Portland, Oregon, United States, 97239|
|United States, Pennsylvania|
|Philadelphia, Pennsylvania, United States, 19140|
|University of Pittsburgh|
|Pittsburgh, Pennsylvania, United States, 15213|
|United States, Texas|
|Baylor College of Medicine|
|Houston, Texas, United States, 77030|
|University of Texas Health Science Center|
|San Antonio, Texas, United States, 78210|
|Principal Investigator:||Gary D Foster, PhD||Temple University|
|Principal Investigator:||Kathryn Hirst, PhD||George Washington University Biostatistics Center|