400 likes | 784 Views
Intake Assessment of Dietary Components. Food Intake. Component Values. Component Intake. . . . . . Supplement Intake. . . National Nutrient Data Bank Nutrient Data Lab, BHNRC, ARS, USDA. The ?reference" source for food composition dataFoundation for most other databases- National surveys- The
E N D
1. The National Food and Nutrient Analysis Program (NFNAP) Joanne Holden
David Haytowitz
Pamela Pehrsson
2. Include footnote that Foods includes food and beveragesInclude footnote that Foods includes food and beverages
3. National Nutrient Data BankNutrient Data Lab, BHNRC, ARS, USDA The “reference” source for food composition data
Foundation for most other databases
- National surveys
- Therapeutic and research databases
- Food frequency questionnaires
- Product development, labeling, regulation
Internet access and CD-ROM
4. Expansion of Food Composition Databases
6. Database Applications NHANES: USDA’s FNDDS
Dietary Reference Intakes (DRIs)
2005 Dietary Guidelines & MyPyramid.gov
Clinical research
GCRCs
CRCs
Epidemiological research
7. NFNAP 1 1997 – 2005
Designed to improve the quality and quantity of data in USDA food composition databases
Provide baseline nutrient data for important foods
Provide information on nutrient variability in foods
Targeted foods and nutrients
General and AI/AN population groups
8. NFNAP 1: Principle Aims Identify and prioritize Key Foods and nutrients
Evaluate quality of existing data
Develop sampling plans
Analyze samples under USDA sponsored contracts
Compile and disseminate data
9. Aim 1: Key Foods and Critical Nutrients Key Foods provide about 75% of the intake of a specific component or nutrient to the diet
Based on nutrients of public health significance
Consumption x concentration
Foods alone and as ingredients
Some foods are “key” for several nutrients
Approximately 675 foods
Ranking of Key Foods helps to set priorities for future research
10. Aim 2: Evaluate Quality of Existing Data Existing data were evaluated against the following criteria:
Sampling plan
Sample handling
Number of samples
Analytical methodology
Analytical Quality Control (QC)
-Existing data were frequently missing this information
-Rating system applied to “emerging bioactive” components
11. Aim 3: Develop Sampling Plans Sample states selected proportional to the state population (US Census, 2000)
Sample counties dispersed over the 48 states
Sample counties selected proportional to the county population
Sample Consolidated Metropolitan Statistical Areas (CMSA) selected proportional to CMSA population
12 primary locations, multiples (24, 48), and random subsets of the primary 12 selected
13. Aim 4: Analysis of Samples Use qualified commercial analytical labs
For special nutrients, cooperative agreements with scientists at universities and government agencies
Vitamin K: Tufts Univ., Dr. Booth
Choline: Univ. of North Carolina, Dr. Zeisel
Fluoride: Univ. of Iowa, Dr. Levy
Proanthocyanidins: Univ. of Arkansas, Dr. Prior
Folate & Tocopherols: Univ. of Georgia, Dr. Eitenmiller
Fatty acids (including trans): Univ. of Maryland, Dr. Sampugna
Phytosterols, folate (5MTHF): VPI&SU, Dr. Phillips
14. Aim 4: Analysis of Samples Use of validated analytical methods
Quality Control
Certified reference materials
National Institute of Standards and Technology
American Association of Cereal Chemists
Others (Europe, China, etc.)
“In-house” materials developed
Cross validation of analyte concentrations
16. Aim 5: Data Compilation and Dissemination Data reviewed by Quality Control Panel
Data migrated to NDL’s Nutrient Databank System (NDBS)
Data aggregated by NDL’s staff scientists using statistical algorithms developed as part of NDBS redesign
Released in SR
Released in Special Interest Tables
17. Nutrient distribution and bias
18. NFNAP 1: Significant Findings Complete analytical profiles for foods!
Fat levels in ground beef show major changes
Fat in pizza doubled
10 g vs. 5 g/100g in cheese pizza
ß-carotene in broccoli lower
361 µg/100 g compared to 778 µg/100 g in prelim. data
Vitamin C in MDII cultivar of pineapple doubled compared to older cultivars
Monounsaturated fatty acids lower in “jarred” spaghetti sauce
19. Impact of DRI Changes
20. ß-Carotene in Broccoli
21. Selenium in Ground Beef
22. Research and Methods Support Supported development or enhancement of analytical methods for:
Folate: FCL
Choline: UNC
Flavonoids: FCL
Proanthocyanidins: U. ARK.
Phytosterols: VPI
23. Research Infrastructure Support Developed QC program for fluoride database
Previously unknown to dental community
Developed series of control composites for NFNAP QC program
24. Research Findings: Folate Demonstrated storage stability of folate
Supported development of method to measure added folate and 5-methyltetrahydratefolate
Updated database to reflect
Changes in enrichment standards
Adoption of Dietary Folate Equivalents (DFEs) in DRIs
Showed variability between labs
25. Folate Variability between Labs for Different Food Items
26. Fluoride variability in municipal water
28. Bioactive Compounds
29. Research Accomplishments: NFNAP1 36 peer-reviewed publications/conference proceedings
23 oral presentations
71 poster presentations
12 database releases
3 articles in Agricultural Research Magazine
Other media
30. NFNAP 2 - 5 New Project Objectives Institute a monitoring program for Key Foods and other foods
Conduct a comprehensive analysis of selected foods
Develop databases for high priority foods consumed by U.S. ethnic subpopulations
Databases for bioactive components
Develop validated database for ingredients in dietary supplements
31. Institute Monitoring Plan Designed to track changes in nutrient content of the food supply
Industry reformulations
Changes in nutrition labeling regulations
Trans fatty acids
New DRIs
Public health concerns
Obesity
Carbohydrates (e.g., added sugars, fiber)
32. Institute Monitoring Plan Identify foods and nutrients
Pickup of reformulated margarines in March 2006
Pickup of reformulated cookies/crackers in April 2006
Develop sampling plan
Analysis of limited nutrients in each food
Statistical Assessment of differences
33. Conduct Comprehensive Analysis of Selected Foods Foods not analyzed in first phase of NFNAP
Poultry products
Rotisserie chicken (analyzed in FY2005)
Fast Food products (1st sampling 2/6/06)
Fresh/frozen chicken/turkey
FDA’s top 20 seafood, fruits, vegetables for nutrition labeling
34. Ethnic Foods Hispanic/Latino
African American
Asian/Pacific Islanders
Native Americans/Alaskan Natives
35. Ethnic Foods Increased rates of diet related diseases
Obesity
CV disease
Diabetes
Cancer
Use of traditional foods
USDA support from 2006
36. Hispanic/Latino Foods Analyzed ~30 foods under NFNAP 1
Diverse population
Mexican
Cuban
Puerto Rican
Central/South America
Varying degrees of acculturation
Working with NCI to develop food priorities
Full profile of nutrients to be analyzed
37. Bioactive Compounds: Future Research Vitamin D
Collaboration with food industry (e.g. Coca Cola, National Dairy Council), universities, and government incl. FCL
Validation of methods of analysis
Development of control materials
Identify foods and develop sampling plans
Trans fatty acids - reformulations
N-3 fatty acids database
Conjugated linoleic acid?
Glucosinolates/isothiocyanates?
38. Cost of Analyses Sample pickup
~$1,000 per food (12 pickup locations)
Sample preparation
~$3,500 per food (4 composites)
Analyses
~$1,500 per sample
~$6,000 per food (4 composites)
39. Gaps in Knowledge
Lack of data for restaurant foods
Limited nutrient profiles for some products
Magnitude of variability for some foods and nutrients unknown
Labs’ analytical expertise for some components
Limits of NIST Standard Reference Materials and QC materials
40. Conclusions Original analytical data are an essential part of USDA’s food composition databases
Since the food supply is dynamic continuous support is required
Nationwide sampling is critical
New methods, new priorities, new protocols