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Nutrition Group Research Proposal Group Members: Kimberly Robinson, Jessica Rottweiler, Kathe Sehmsdorf, Nick West
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Topic : Nutrition and Impact on Academic Performance Question: Is there a correlation between dietary nutrition and performance on the IOWA Basic Skills Test?
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Hypothesis : There is a positive correlation between dietary nutrition levels and academic performance.
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Independent: Dietary Nutrition Levels (Food Choice Inventory) Dependent: Academic Performance (IOWA Test of Basic Skills) Population: 11 th graders (middle income) in Washington state
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Effect of a 12 month micronutrient intervention on learning and memory in well nourished and marginally nourished school-aged children: 2 parallel, randomized, placebo-controlled studies in Australia and Indonesia. (2007) Experimental Tested: Mix of micronutrients – marked improvements on verbal learning and memory Fatty acids - inconclusive Micronutrients and fatty acids – same as above, fatty acids = no effect Control (placebo)
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The impact of a two-year breakfast program for preschool-aged children on their nutrient intake and pre-academic performance. (1999) Experimental Tested: Effect of School Breakfast Program on cognitive performance Conclusion: Nutritionally balance breakfast has positive impact on cognitive performance
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Effects of Nutrient Intake on Task Performance in a Sample of Inner-City Elementary School Children (2001) Non-experimental Conclusion: Food stamp recipients eat more poorly as the month progresses and academic performance coincides
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Subjects: 500 - 11 th grade (middle income) public school students in WA state from rural, urban and suburban school districts Sampling: #1 – Convenience (districts in WA that administer ITBS) #2 - Stratified Random Sampling (urban, suburban, rural) #3– Volunteer Participants (school administrator permission) #4– Middle Income Survey respondents selected
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ITBS (Iowa Test of Basic Skills) Food Choice Inventory Assesses food choice behaviors of junior and senior high school students and adults. Survey question accounting for income bracket
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Non-experimental Simple correlation
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Originally Experimental Implementation of school lunch Challenges: High cost Subject compliance Parental and school permission Hair sample micronutrient level test Challenges: Extremely high cost Subject compliance Parental and school permission
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Non-Experimental Less costly No intervention necessary What Design??? Original Design multilevel logistic regression account for co-variance of socio-economic status with dependent and independent variables Current Design simple correlation account for co-variance of income level status with dependent and independent variables more simply using middle income bracket as qualifier
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The NEMO Study Group. (2007). Effect of a 12 month micronutrient intervention on learning and memory in well-nourished and marginally nourished school-aged children: 2 parallel, randomized, placebo-controlled studies in Australia and Indonesia. American Journal of Clinical Nutrition, 86(4), 1082-1093. (ERIC Document Reproduction Service No. EJ824000) Retrieved January 22, 2009, from ERIC database. Walingo, Mary K. and Musamali, Betty. (2008). Nutrient Intake and Nutritional Status Indicators of Participant and Nonparticipant Pupils of a Parent-Supported School Lunch Program in Kenya. Journal of Nutrition Education and Behavior, Vol. 40, No. 5, 298-304. Florence, M.D., Asbridge, M. & Veugelers, P. (April 1, 2008). Diet Quality and Academic Performance. Journal of School Health, 78(4), 209-215 (ERIC Document Reproduction Service No. EJ812000) Retrieved January 30, 2009, from ERIC database. Worobey, John, Rutgers U & Worobey, Harriet S. (1999). The impact of a two-year breakfast program for preschool-aged children on their nutrient intake and pre-academic performance. Child Study Journal, Vol29 (2), 113-131 ((ERIC Document Reproduction Service No. EJ 0009-4005) Retrieved February 3, 2009, from ERIC database.
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Worobey, J., Worobey, H. S., Johnson, E. & Hamm, M. (2001, Apr. 21). Effects of Nutrient Intake on Task Performance in a Sample of Inner City Elementary School Children. Society for Research in Child Development Conference. Wyon, D. P., Abrahamsoson, L., Jartelius, M. & Fletcher, R. J. (1997). An experimental study of the effects of energy intake at breakfast on the test performance of 10-year-old children in school. International Journal of Food Sciences and Nutrition, (48), 5-12. Voiland, A. (November 3, 2008). Rethinking School Lunch. U.S. News & World Report, 145(10), 65. Taras, H. & Potts-Datema, W. (October 2005). Obesity and Student Performance at School. Journal of School Health, 75(8), 291-295 Pollit, E. & Mathews, R. (1998). Breakfast and cognition: An integrative summary. American Journal of Clinical Nutrition, 67(4), 804-813. Cromer, B.A., Tarnowski, K.T., Stein, A.M, Harton, P. & Thornton, D.J. (1990). The school breakfast program and cognition in adolescence. Developmental and Behavioral Pediatrics, 11 (6), 295-300.
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