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Purpose: To compare two intensity levels (standard vs. enhanced) of a nutrition and physical activity intervention vs. a control (usual programs) on nutrition knowledge, body mass index, fitness, academic performance, behavior, and medication use among elementary school students., Design: Quasi-experimental with three arms., Setting: Elementary schools, students' homes, and a supermarket., Subjects: A total of 1487 third-grade students., Intervention: The standard intervention (SI) provided daily physical activity in classrooms and a program on making healthful foods, using food labels. The enhanced intervention (EI) provided these plus additional components for students and their families., Measures: Body mass index (zBMI), food label literacy, physical fitness, academic performance, behavior, and medication use for asthma or attention-deficit hyperactivity disorder (ADHD)., Analysis: Multivariable generalized linear model and logistic regression to assess change in outcome measures., Results: Both the SI and EI groups gained less weight than the control (p < .001), but zBMI did not differ between groups (p = 1.00). There were no apparent effects on physical fitness or academic performance. Both intervention groups improved significantly but similarly in food label literacy (p = .36). Asthma medication use was reduced significantly in the SI group, and nonsignificantly (p = .10) in the EI group. Use of ADHD medication remained unchanged (p = .34)., Conclusion: The standard intervention may improve food label literacy and reduce asthma medication use in elementary school children, but an enhanced version provides no further benefit.

Background: Improving diets has considerable potential to improve health, but progress in this area has been limited, and advice to increase fruit and vegetable intake has largely gone unheeded., Objectives: Our objective was to test the performance characteristics of the Overall Nutritional Quality Index (ONQI), a tool designed to help improve dietary patterns one well-informed choice at a time., Design: The ONQI was developed by a multidisciplinary group of nutrition and public health scientists independent of food industry interests and is the basis for the NuVal Nutritional Guidance System. Dietary guidelines, existing nutritional scoring systems, and other pertinent scientific literature were reviewed. An algorithm incorporating >30 entries that represent both micro- and macronutrient properties of foods, as well as weighting coefficients representing epidemiologic associations between nutrients and health outcomes, was developed and subjected to consumer research and testing of performance characteristics., Results: ONQI and expert panel rankings correlated highly (R = 0.92, P < 0.001). In consumer testing, approximately 80% of >800 study participants indicated that the ONQI would influence their purchase intent. ONQI scoring distinguished the more-healthful DASH (Dietary Approaches to Stop Hypertension) diet (mean score: 46) from the typical American diet according to the National Health and Nutrition Examination Survey (NHANES) 2003-2006 (mean score: 26.5; P < 0.01). In linear regression analysis of the NHANES 2003-2006 populations (n = 15,900), the NuVal system was significantly associated with the Healthy Eating Index 2005 (P < 0.0001). Recently generated data from ongoing studies indicate favorable effects on purchase patterns and significant correlation with health outcomes in large cohorts of men and women followed for decades., Conclusion: NuVal offers universally applicable nutrition guidance that is independent of food industry interests and is supported by consumer research and scientific evaluation of its performance characteristics.

Purpose. Consumer understanding of nutrition information is key to making dietary choices consistent with guidelines. The development of an objective, science-based, and univ. sally applicable system of nutrition guidance would he of considerable Potential value to the public health. Design. A multidisciplinary expert panel was convened to develop the Overall Nutritional Quality Index (ONQI). Dietary guidelines, existing nutritional scoring systems, and other pertinent scientific literature were reviewed. An algorithm based on the overall nutritional quality of food was developed and subjected to consumer research and validation testing. Results. The ONQI algorithm incorporates over 30 entries representing both micronutrient and macronutrient properties of foods, as well as weighting coefficients representing epidemiologic associations between nutrients and health outcomes. The basic entry in the algorithm is a weighted trajectory score, which compares nutrient concentration in a food to the recommended concentration of a given nutrient in a healthful diet. In content validity testing, ONQI rankings and expert panel rankings correlated highly (R = .92; p < .001). In regression analysis, aggregated ONQI scores for total diet corresponded well with the Healthy Eating Index (p < .001) in the National Health and Nutrient Examination Survey 2003-2006 cohort (n = 15,900). Consumer research indicated strong appeal to consumers of the ONQI system in general, and the scores on a 1 to 100 scale specifically. A system for acquiring nutrient data, meeting U.S. Food and Drug Administration and U.S. Department of Agriculture standards, has been established so that virtually any food, beverage, meal, or recipe can be scored. Conclusions. The ONQI is a sophisticated nutrition guidance system developed by a multidisciplinary group independently of all food industry interests with excellent initial performance in both consumer research and validation testing. Combined with a consumer education program, the ONQI has considerable potential to improve dietary pattewis, and consequently the public health. Prospective. Study of effects on dietary patterns and health outcomes is warranted. [ABSTRACT FROM AUTHOR]

The Department of Health and Human Services initiated a pilot "microgrant" or small grants program in 2001 to promote Healthy People 2010 (HP 2010) implemented by the Yale-Griffin Prevention Research Center. This article describes the 103 agencies funded under this initiative and 67 control group agencies. It evaluates the HP 2010 focus areas targeted and the effectiveness of promoting HP 2010 objectives through microgrants. Forty-four percent of the grant recipients and 79% of the control group agencies indicated low levels of familiarity with HP 2010 goals. Changes in knowledge of HP 2010 goals for the microgrant group increased significantly from 5.24 ± 3.67 to 7.83 ± 1.86 (p < .05). The results suggest that microgrants can be a useful mechanism to plant the seeds for developing community and organizational capacity to define local health priorities, practice and test new initiatives or expand existing programs and promote knowledge about HP 2010. [ABSTRACT FROM AUTHOR]