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Family Partners for Health

University of North Carolina, Chapel Hill · 2007
ClinicalTrials.gov · Datasets · License: Public Domain · 2007
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adultschildrennaobesityoverweight
Young children who are overweight or at risk for overweight are at increased risk for becoming obese as young adults and developing type 2 diabetes and cardiovascular disease. To date, there have been no interdisciplinary interventions that targeted predominantly ethnic minority low-income children and parents and taught them to work together to improve nutrition and exercise. Using a two-group, repeated measures experimental design, this proposed study will test a 12-week intensive intervention on nutrition, exercise and coping skills (Phase I) and 9 months of continued monthly contact (Phase II) to help overweight 2nd, 3rd, and 4th grade children and their parents improve self-efficacy, health behaviors, weight status, and adiposity. The study will take this intervention to the community in which children and parents live, working with four schools in Alamance-Burlington County, NC, and four schools in Wilson County in the early evening. A total of 356 Black, Hispanic, and White children with a BMI \>85th percentile and 356 parents with a BMI \>25 kg/m2 will be inducted over 3 ½ years and randomized by school to either the experimental or control group. Data will be collected at Time 1 (Baseline), Time 2 (Post Phase I-Intensive Intervention), Time 3 (Post Phase II-Continued Contact), and Time 4 (6-Month Follow-Up). Data collected will include scores on the Health Promoting Lifestyle Profile II in the parents; eating self-efficacy in the children (CATCH) and parents (Eating Self-Efficacy Scale) and exercise self-efficacy in the children (CATCH) and parents (Exercise Self-Efficacy); health behaviors in the children and parents (3 Day 24-Hour Food Recall and 4 Day Accelerometry Measurement); weight status in the children (BMI percentile) and parents (BMI); and adiposity in the children and parents (waist circumference and triceps and subscapular skinfolds). Data analysis will use general linear mixed models to test the hypotheses. Decreasing overweight in children an
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