Suzanne Bennett Johnson1, Kristian F Lynch2, Judith Baxter3, Barbro Lernmark4, Roswith Roth5, Tuula Simell6, Laura Smith2. 1. Department of Behavioral Science and Social Medicine, Florida State University, suzanne.johnson@med.fsu.edu. 2. Health Informatics Institute, University of South Florida. 3. Barbara Davis Center for Childhood Diabetes, University of Colorado. 4. Department of Clinical Sciences, Lund University. 5. Helmholtz Center and Institute for Psychology, Graz University. 6. Department of Pediatrics, University of Turku, and.
Abstract
OBJECTIVE: To identify predictors of later study withdrawal among participants active in The Environmental Determinants of Diabetes in the Young (TEDDY) for 1 year. METHODS: Multiple logistic regression was used to discriminate 3,042 children active in TEDDY for the first 3 years from 432 children who withdrew in Years 2 or 3. Predictor variables were tested in blocks-demographic, maternal lifestyle behaviors, stress and child illness, maternal reactions to child's increased diabetes risk, in-study behaviors-and a final best model developed. RESULTS: Few demographic factors predicted study withdrawal. Maternal lifestyle behaviors, accuracy of the mother's risk perception, and in-study behaviors were more important. Frequent child illnesses were associated with greater study retention. CONCLUSIONS: Demographic measures are insufficient predictors of later study withdrawal among those active in a study for at least 1 year; behavioral/psychological factors offer improved prediction and guidance for the development of retention strategies.
OBJECTIVE: To identify predictors of later study withdrawal among participants active in The Environmental Determinants of Diabetes in the Young (TEDDY) for 1 year. METHODS: Multiple logistic regression was used to discriminate 3,042 children active in TEDDY for the first 3 years from 432 children who withdrew in Years 2 or 3. Predictor variables were tested in blocks-demographic, maternal lifestyle behaviors, stress and child illness, maternal reactions to child's increased diabetes risk, in-study behaviors-and a final best model developed. RESULTS: Few demographic factors predicted study withdrawal. Maternal lifestyle behaviors, accuracy of the mother's risk perception, and in-study behaviors were more important. Frequent child illnesses were associated with greater study retention. CONCLUSIONS: Demographic measures are insufficient predictors of later study withdrawal among those active in a study for at least 1 year; behavioral/psychological factors offer improved prediction and guidance for the development of retention strategies.
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