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How science and partnerships can improve the
agricultural and nutrition value chain - towards
delivering more nutritious foods for those in need.
Institute of Biological Chemistry and Nutrition, University of Hohenheim, Stuttgart, Germany
Detection of micronutrient inadequacies and
how to compensate?
• Inadequate supply of micronutrients may have a
strong impact on health and development in
particular during pregenancy and childhood
• Early detection of dietary gaps are necessary to
optimize the diet and to avoid „hidden hunger“
Supply
Symptoms
No Subclinical/unspecific Clinical
Hidden Hunger describes the inadequate supply with
one or more essential nutrients (Vitamins, Minerals,
Trace elements, Amino acids)
Hidden hunger becomes „visible“ with the occurence of
clinical symptoms
Reasons: Missing sources (Liver, Eggs, pro-vitamin A).
Low stores at birth. Frequent diarrhoe (Zinc def.)
200 – 500 million children are vitamin A deficient. 5 million
per year get blind. High mortality in the first 5 years of live
(30-50%). How many children with inadequate intake?
S
Decline of vitamin A status without biochemical signs and occurence
of non-specific and specific symptoms
Clinical consequences
SYSTEMIC (unspecific) COMPLICATIONS
Increased mortality
due to infections
Increase of anemia/
growth retardation
OCULAR COMPLIKATIONS
Nightblindness
Ocular infections
Keratomalacia-Blindness
Vitamin-A-Status
Somer A., Nature Med. 1997
Hidden Hunger and consequences?
How to improve the nutrition value chain with
respect to miconutrients?
• Biochemical data or clinical signs document a more
or less severe deficiency of one or more
micronutrients.
• Prior deficiency signs an inadequate intake of
micronutrients affects health and development
• The composition of the diet and the micronutrient
gaps should be elucidated before clinical symptoms
of a deficiency occur!
Objectives for the developement of CIMI
(calculator for identification of micronutrient inadequacy)
Fast and easy analysis of micronutrient adequacy on basis of population
specific food groups
-> time and cost saving data collection and analysis
Comparison of the results to the reference values including the classification
of iron and zinc bioavailability
Self-explanatory presention of the results
-> visualisation of micronutient sources and deficits for health education
purposes
Calculation of macro- and micronutrient intake
classification of zinc and iron bioavailability
is based on dietary pattern
Program structureProgram structure
Total intake and % of FAO/WHO recommendations
of energy, protein, carbohydrates, fat, iron, zinc, vitamin A,
ß-carotene, retinol equivalents (1:6 and 1:12 conversion factor)
Food intake in grams per day
of a limited number of food groups
Electronic assessment of micronutrient
inadequacies on a population level
Algorithm for iron
Program structureBioavailability calculation
Classification to
15%, 12%, 10% or
5% of iron bioavailability
Software determines:
% of total energy intake is accounted for all starchy stables
% of total energy intake is accounted for protein from fish, eggs, dairy and meat
% of total energy intake is accounted for protein from fish and meat
…
Electronic assessment of micronutrient
inadequacies on a population level
Algorithm for zinc
Classification to
high, moderate or low zinc
bioavailability
Food survey data of target population
Data of the Indonesian Socio Economic Survey taken
among 68,800 public households in 2008
Program structureProgram development
Micronutrient density of extracted food groups
Calculation of
average nutrient
density per food
group based on
the typical food
composition
Electronic assessment of micronutrient
inadequacies on a population level
Program structureCIMI data input
Electronic assessment of micronutrient
inadequacies on a population level
Program structureCIMI data input
Electronic assessment of micronutrient
inadequacies on a population level
Program structureCIMI data input
Electronic assessment of micronutrient
inadequacies on a population level
Program structureCIMI data input
Electronic assessment of micronutrient
inadequacies on a population level
Program structureIndonesian children 4-6 years: nutrition data
Electronic assessment of micronutrient
inadequacies on a population level
Program structureIndonesian children 4-6 years: results in tables
Electronic assessment of micronutrient
inadequacies on a population level
Program structureIndonesian children 4-6 years: results in ring diagrams
Electronic assessment of micronutrient
inadequacies on a population level
Iron Zinc
Program structureIndonesian children 4-6 years: results in ring diagrams
Electronic assessment of micronutrient
inadequacies on a population level
Vitamin A
Females 20 – 52 years
118 Children 1 – 3 years 128 Females 20 – 40 years
The distribution of the ratio of nutrient intake calculated by NS and CIMI
Validation of CIMI using Nutrisurvey programm as a control
Average intake of nutrients calculated by NS and CIMI and number and %
of indviduals below the threshold
The CIMI program can be used to
for a rough estimation of micronutrient gaps
in different age and sex groups
in different income groups
in different local dietary diversity
in different threshold aproaches
educate people how to compose a diet to reduce gaps
uncover food or food composition related to a specific
micronutrient
The CIMI program will not calculate a risk for deficiency or a level
of adequacy
Science and partnership to improve the nutrtion value chain
Electronic assessment of micronutrient
inadequacies on a population level
Micronutrient gaps which, to several reasons, cannot be closed via
optimization of the dietary pattern might be closed with fortified
food or with food with improved bioavailability of one or more
micronutrients.
But
We always must consider that a deficiency of a micronutient does
not mean that only this isolated micronutrient is missing in the diet.
It is the micronutrient containing food which is missing.
Consequently all the other essential micronutrients within that food
might be also missing.
Treatment of the symptom (isolated defciency) might be misleading
Thank you
for your attention

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Hans Biesalski, University of Hohhenheim "How Science and Partnerships Can Improve the Agricultural and Nutrition Value Chain"

  • 1. How science and partnerships can improve the agricultural and nutrition value chain - towards delivering more nutritious foods for those in need. Institute of Biological Chemistry and Nutrition, University of Hohenheim, Stuttgart, Germany
  • 2. Detection of micronutrient inadequacies and how to compensate? • Inadequate supply of micronutrients may have a strong impact on health and development in particular during pregenancy and childhood • Early detection of dietary gaps are necessary to optimize the diet and to avoid „hidden hunger“
  • 3. Supply Symptoms No Subclinical/unspecific Clinical Hidden Hunger describes the inadequate supply with one or more essential nutrients (Vitamins, Minerals, Trace elements, Amino acids) Hidden hunger becomes „visible“ with the occurence of clinical symptoms
  • 4. Reasons: Missing sources (Liver, Eggs, pro-vitamin A). Low stores at birth. Frequent diarrhoe (Zinc def.) 200 – 500 million children are vitamin A deficient. 5 million per year get blind. High mortality in the first 5 years of live (30-50%). How many children with inadequate intake?
  • 5. S Decline of vitamin A status without biochemical signs and occurence of non-specific and specific symptoms Clinical consequences SYSTEMIC (unspecific) COMPLICATIONS Increased mortality due to infections Increase of anemia/ growth retardation OCULAR COMPLIKATIONS Nightblindness Ocular infections Keratomalacia-Blindness Vitamin-A-Status Somer A., Nature Med. 1997 Hidden Hunger and consequences?
  • 6. How to improve the nutrition value chain with respect to miconutrients? • Biochemical data or clinical signs document a more or less severe deficiency of one or more micronutrients. • Prior deficiency signs an inadequate intake of micronutrients affects health and development • The composition of the diet and the micronutrient gaps should be elucidated before clinical symptoms of a deficiency occur!
  • 7. Objectives for the developement of CIMI (calculator for identification of micronutrient inadequacy) Fast and easy analysis of micronutrient adequacy on basis of population specific food groups -> time and cost saving data collection and analysis Comparison of the results to the reference values including the classification of iron and zinc bioavailability Self-explanatory presention of the results -> visualisation of micronutient sources and deficits for health education purposes
  • 8. Calculation of macro- and micronutrient intake classification of zinc and iron bioavailability is based on dietary pattern Program structureProgram structure Total intake and % of FAO/WHO recommendations of energy, protein, carbohydrates, fat, iron, zinc, vitamin A, ß-carotene, retinol equivalents (1:6 and 1:12 conversion factor) Food intake in grams per day of a limited number of food groups Electronic assessment of micronutrient inadequacies on a population level
  • 9. Algorithm for iron Program structureBioavailability calculation Classification to 15%, 12%, 10% or 5% of iron bioavailability Software determines: % of total energy intake is accounted for all starchy stables % of total energy intake is accounted for protein from fish, eggs, dairy and meat % of total energy intake is accounted for protein from fish and meat … Electronic assessment of micronutrient inadequacies on a population level Algorithm for zinc Classification to high, moderate or low zinc bioavailability
  • 10. Food survey data of target population Data of the Indonesian Socio Economic Survey taken among 68,800 public households in 2008 Program structureProgram development Micronutrient density of extracted food groups Calculation of average nutrient density per food group based on the typical food composition Electronic assessment of micronutrient inadequacies on a population level
  • 11. Program structureCIMI data input Electronic assessment of micronutrient inadequacies on a population level
  • 12. Program structureCIMI data input Electronic assessment of micronutrient inadequacies on a population level
  • 13. Program structureCIMI data input Electronic assessment of micronutrient inadequacies on a population level
  • 14. Program structureCIMI data input Electronic assessment of micronutrient inadequacies on a population level
  • 15. Program structureIndonesian children 4-6 years: nutrition data Electronic assessment of micronutrient inadequacies on a population level
  • 16. Program structureIndonesian children 4-6 years: results in tables Electronic assessment of micronutrient inadequacies on a population level
  • 17. Program structureIndonesian children 4-6 years: results in ring diagrams Electronic assessment of micronutrient inadequacies on a population level Iron Zinc
  • 18. Program structureIndonesian children 4-6 years: results in ring diagrams Electronic assessment of micronutrient inadequacies on a population level Vitamin A
  • 19. Females 20 – 52 years
  • 20. 118 Children 1 – 3 years 128 Females 20 – 40 years The distribution of the ratio of nutrient intake calculated by NS and CIMI Validation of CIMI using Nutrisurvey programm as a control
  • 21. Average intake of nutrients calculated by NS and CIMI and number and % of indviduals below the threshold
  • 22. The CIMI program can be used to for a rough estimation of micronutrient gaps in different age and sex groups in different income groups in different local dietary diversity in different threshold aproaches educate people how to compose a diet to reduce gaps uncover food or food composition related to a specific micronutrient The CIMI program will not calculate a risk for deficiency or a level of adequacy
  • 23. Science and partnership to improve the nutrtion value chain Electronic assessment of micronutrient inadequacies on a population level Micronutrient gaps which, to several reasons, cannot be closed via optimization of the dietary pattern might be closed with fortified food or with food with improved bioavailability of one or more micronutrients. But We always must consider that a deficiency of a micronutient does not mean that only this isolated micronutrient is missing in the diet. It is the micronutrient containing food which is missing. Consequently all the other essential micronutrients within that food might be also missing. Treatment of the symptom (isolated defciency) might be misleading
  • 24. Thank you for your attention