Lower Energy-Adjusted Nutrient Intakes Occur Among Food Energy Under-Reporters With Poor Mental Health.

Background: Food energy under-reporting is differentially distributed among populations. Currently, little is known about how mental health state may affect energy-adjusted nutrient intakes among food energy under-reporters.

Methods: Stratified analysis of energy-adjusted nutrient intake by mental health (poor vs.

Use of Technology for Dietary Assessment in Immigrant Populations.

To determine the impact of educational programs on immigrant groups in the United States, nutrition educators must have assessment and evaluation tools that use the language and vocabulary of the target population. Filipino Americans exhibit health disparities with regard to several conditions and are an important target for nutrition education. Currently, there are no existing rigorously tested tools in the Tagalog language which also have a low user burden and are designed to measure diet for assessment and evaluation of nutrition education programs.

Comparison of Nutrigenomics Technology Interface Tools for Consumers and Health Professionals: A Sequential Explanatory Mixed Methods Investigation.

Background: Nutrigenomics forms the basis of personalized nutrition by customizing an individual's dietary plan based on the integration of life stage, current health status, and genome information. Some common genes that are included in nutrition-based multigene test panels include CYP1A2 (rate of caffeine break down), MTHFR (folate usage), NOS3 (risk of elevated triglyceride levels related to omega-3 fat intake), and ACE (blood pressure response in related to sodium intake). The complexity of gene test-based personalized nutrition presents barriers to its implementation.