Rising rates of obesity and related metabolic disorders among the young are urgent public health problems. Despite this, few data are available to guide our understanding of the role of food intake patterns in the etiology of these problems. This study is designed to carry out secondary analyses of the longitudinal National Growth and Health Study (NGHS) to examine the effects of food intake patterns on the development of body fat and physiologic components of the metabolic syndrome. The NGHS enrolled 2,379 nine and ten-year old girls in 1987-1988 and followed them for nine years generating a wealth of diet, activity, and anthropometric data. Nearly 90% of the girls originally enrolled were followed through year 10 of the study and about half of the participants were black. This application is a collaborative partnership between investigators at Boston University School of Medicine and at the University of Cincinnati's Children's Hospital Medical Center (one of the original NGHS sites).
The specific aims of the proposal include the following: 1) to create a food-based data set from diet records collected over nine years in the NGHS by linking NDS data with Pyramid Serving Database for USDA Survey Food Codes to create food pyramid intake information for each girl, 2) to estimate the effects of food intake patterns, as defined by the 2005 Dietary Guidelines, on total body fat change as well as central adiposity in black and white adolescent girls (starting at 9-10 years of age), 3) to estimate the effects of such food intake patterns on selected features of the metabolic syndrome (i.e., serum triglycerides, HDL-cholesterol, insulin resistance, and blood pressure in the girls), and 4) to use the above results to guide the development of a food-based intervention designed to prevent pediatric obesity and related disorders. This R21 application is innovative in its use of unique methods for estimating comprehensive food serving information from diet records collected in an existing cohort, thereby enabling the evaluation of the current Dietary Guidelines in this cohort. The wealth of longitudinal data in this multi-ethnic group of girls makes it an even more valuable resource. This study will not only create a valuable food-based data set for use in future analyses by us and other investigators, but it will also further our understanding of food-based effects on these outcomes and may help to guide dietary recommendations during this crucial developmental period. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21DK075068-02
Application #
7384424
Study Section
Kidney, Nutrition, Obesity and Diabetes (KNOD)
Program Officer
Everhart, James
Project Start
2007-04-01
Project End
2010-03-31
Budget Start
2008-04-01
Budget End
2010-03-31
Support Year
2
Fiscal Year
2008
Total Cost
$209,082
Indirect Cost
Name
Boston University
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
604483045
City
Boston
State
MA
Country
United States
Zip Code
02118
Moore, Lynn L; Singer, Martha R; Bradlee, M Loring et al. (2016) Adolescent dietary intakes predict cardiometabolic risk clustering. Eur J Nutr 55:461-468
Buendia, Justin R; Bradlee, M Loring; Daniels, Stephen R et al. (2015) Longitudinal effects of dietary sodium and potassium on blood pressure in adolescent girls. JAMA Pediatr 169:560-8
Bradlee, M L; Singer, M R; Moore, L L (2014) Lean red meat consumption and lipid profiles in adolescent girls. J Hum Nutr Diet 27 Suppl 2:292-300
Bradlee, M L; Singer, M R; Daniels, S R et al. (2013) Eating patterns and lipid levels in older adolescent girls. Nutr Metab Cardiovasc Dis 23:196-204
Moore, Lynn L; Singer, Martha R; Qureshi, M Mustafa et al. (2012) Food group intake and micronutrient adequacy in adolescent girls. Nutrients 4:1692-708
Moore, Lynn L; Bradlee, M Loring; Singer, Martha R et al. (2012) Dietary Approaches to Stop Hypertension (DASH) eating pattern and risk of elevated blood pressure in adolescent girls. Br J Nutr 108:1678-85
Berz, Jonathan P B; Singer, Martha R; Guo, Xinxin et al. (2011) Use of a DASH food group score to predict excess weight gain in adolescent girls in the National Growth and Health Study. Arch Pediatr Adolesc Med 165:540-6