Dietary assessment using the CIMI approach · Nutrisurvey®) Validation •Fast and easy assessment...
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www.biomassweb.org Contact: Starchy Staples (54%) Fruits (21%) Meat, Fish and Eggs (4%) Vegetables (17%) Low dietary Intake of Calcium (Pro) Vitamin A rich Oils (1%) Moderate dietary Intake of Folic Acid, Iron and Zinc Adequate dietary Intake of Energy, Protein, Vitamin A and Vitamin C Others (3%) • Food Frequency Questionnaires • Food Composition Tables Construction • 24h-Recalls • Result verification with standard nutrition software (here: Nutrisurvey®) Validation • Fast and easy assessment of dietary intakes • Results are subdivided into contributing food (groups) • Algorithm considers mineral bioavailability • Comparison with WHO RNI • Geomapping Android Application Dietary assessment using the CIMI approach: A case study from three districts of the Ashanti region in Ghana Julian Philipp Wald 1 , Emmanuel Asare 1,2 , Emmanuel Kweku Nakua 2 , Christine Lambert 1 , Hans Konrad Biesalski 1 , Ute Gola 1 , Donatus Nohr 1 1 Institute of Biological Chemistry and Nutritional Science, University of Hohenheim, Stuttgart, Germany 2 School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana [email protected] Institute of Biological Chemistry and Nutritional Science (140) University of Hohenheim 70599 Stuttgart, Germany Introduction • Nutrient gap assessment of people living in food insecurity helps to educate and support families and small holder farmers to improve their diet • However, regional food security is often evaluated using non-specific data of socio-economic surveys (e.g. food balance sheets) that are not directly based on food intake » This study illustrates the calculator of inadequate micronutrient intake (CIMI) approach; an android application that determines dietary energy, protein and micronutrient intakes based on regional dietary patterns Methodology 3 rd International Conference on GLOBAL FOOD SECURITY 3-6 December 2017 Cape Town, South Africa Results Conclusion • In the Ashanti region, WHO RNIs are acquired largely by dietary nutrient intake • However, calcium intake is limited and deficits of dietary iron as well as zinc are observed in women of reproductive age and children <5y, respectively • The software results can easily be used by different stakeholders (e.g. nutritionists, farmers, politicians, economists) to influence product lines, markets and finally the (micro-) economy Fig. 1: Screenshot demonstration of the CIMI android application District Population Energy Intake [kcal/d] Protein Intake [g/d] Vitamin A Intake [%RNI] Folic Acid Intake [%RNI] Vitamin C Intake [%RNI] Iron Intake [%RNI] Zinc Intake [%RNI] Calcium Intake [%RNI] Ahafo Ano Children (<5y; n=31) 893±352 31.1±14.6 113±85.1 107±81.7 129±128 102±48.4 50.1±22.3 22.8±9.56 Women (19-50y; n=40) 2107±686 74.1±30.5 186±216 113±90.4 328±175 46.9±21.8 99.4±43.0 36.6±14.4 Obuasi Children (<5y; n=22) 1214±388 36.1±18.8 195±94.5 169±164 128±64.5 147±84.8 62.1±31.2 36.2±13.9 Women (19-50y; n=37) 2022±554 60.9±26.3 238±161 83.0±74.9 187±156 40.5±24.4 82.2±40.8 34.2±15.2 Kumasi Children (<5y; n=30) 1238±403 39.7±14.8 168±137 126±108 165±103 159±85.8 68.8±27.0 37.3±18.7 Women (19-50y; n=42) 2528±964 83.8±47.0 274±187 114±106 243±176 56.8±27.5 120±63.1 42.6±22.5 Total Children (<5y; n=83) 1115±381 35.6±16.1 158±106 134±118 141±98.4 136±73.0 60.3±26.8 32.1±14.1 Women (19-50y; n=119) 2219±735 73.0±34.6 233±188 103±90.6 253±169 48.1±24.6 100±49.0 37.8±17.4 Tab. 1: Absolute and percentage dietary energy and nutrient intakes of children <5y and women in reproductive age compared to respective WHO RNIs R² = 0.9657 0 10 20 30 40 0 10 20 30 40 Iron Intake mg/d (CIMI) Iron Intake mg/d (NutriSurvey®) R² = 0.9683 0 5 10 15 20 25 0 5 10 15 20 25 Iron Intake mg/d (CIMI) Iron Intake mg/d (NutriSurvey®) Fig.2: Correlation between CIMI and NutriSurvey® of dietary iron intake in children <5y (A; n=83) and women of reproductive age (B; n=119) Fig. 3: Dietary pattern of people living in the Ashanti region of Ghana Fig. 4: Mean dietary energy and nutrient intakes of study participants • Dietary pattern in the Ashanti region of Ghana is characterized by starchy staples (54%), fruits (21%) and vegetables (17%) • Results show an intake of energy, protein and most micronutrients above recommendations (RNI), due to a moderate consumption of animal-based food and substantial intakes of (pro) vitamin A rich oils, vegetables and fruits. • Iron uptake of women in reproductive age and zinc uptake of children <5y is <50% and ~60% RNI, respectively • Virtually no dairy products are part of the diet in the Ashanti region, resulting in an overall low calcium intake (<40% RNI). A B
Transcript of Dietary assessment using the CIMI approach · Nutrisurvey®) Validation •Fast and easy assessment...
www.biomassweb.org
Contact: Your Logos
StarchyStaples(54%)
Fruits(21%)
Meat, Fish and
Eggs
(4%)
Vegetables
(17%)
Low dietary
Intake ofCalcium
(Pro) Vitamin A rich Oils
(1%)
Moderate dietary
Intake ofFolic Acid, Iron and
Zinc
Adequatedietary Intake
of Energy, Protein,
Vitamin A andVitamin C
Others
(3%)
• Food Frequency Questionnaires
• Food Composition Tables
Construction
• 24h-Recalls
• Result verification with standard nutrition software (here: Nutrisurvey®)
Validation
• Fast and easy assessment of dietary intakes
• Results are subdivided into contributing food (groups)
• Algorithm considers mineral bioavailability
• Comparison with WHO RNI
• Geomapping
Android Application
Dietary assessment using the CIMI approach:A case study from three districts of the Ashanti region in Ghana
Julian Philipp Wald1, Emmanuel Asare1,2, Emmanuel Kweku Nakua2,
Christine Lambert1, Hans Konrad Biesalski1, Ute Gola1, Donatus Nohr1
1 Institute of Biological Chemistry and Nutritional Science, University of Hohenheim, Stuttgart, Germany2 School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
Institute of Biological Chemistry
and Nutritional Science (140)
University of Hohenheim
70599 Stuttgart, Germany
Introduction
• Nutrient gap assessment of people living in food insecurity helps to educateand support families and small holder farmers to improve their diet
• However, regional food security is often evaluated using non-specific data ofsocio-economic surveys (e.g. food balance sheets) that are not directly basedon food intake
»This study illustrates the calculator of inadequate micronutrient intake (CIMI)approach; an android application that determines dietary energy, protein andmicronutrient intakes based on regional dietary patterns
Methodology
3rd International Conference on
GLOBAL FOOD SECURITY
3-6 December 2017
Cape Town, South Africa
Results
Conclusion• In the Ashanti region, WHO RNIs are acquired largely by dietary nutrient intake
• However, calcium intake is limited and deficits of dietary iron as well as zincare observed in women of reproductive age and children <5y, respectively
• The software results can easily be used by different stakeholders(e.g. nutritionists, farmers, politicians, economists) to influence product lines,markets and finally the (micro-) economy
Fig. 1: Screenshot demonstration of the CIMI android application
District Population Energy
Intake
[kcal/d]
Protein
Intake
[g/d]
Vitamin A
Intake
[%RNI]
Folic Acid
Intake
[%RNI]
Vitamin C
Intake
[%RNI]
Iron
Intake
[%RNI]
Zinc
Intake
[%RNI]
Calcium
Intake
[%RNI]
Ahafo
Ano
Children
(<5y; n=31)893±352 31.1±14.6 113±85.1 107±81.7 129±128 102±48.4 50.1±22.3 22.8±9.56
Women
(19-50y; n=40)2107±686 74.1±30.5 186±216 113±90.4 328±175 46.9±21.8 99.4±43.0 36.6±14.4
Obuasi Children
(<5y; n=22)1214±388 36.1±18.8 195±94.5 169±164 128±64.5 147±84.8 62.1±31.2 36.2±13.9
Women
(19-50y; n=37)2022±554 60.9±26.3 238±161 83.0±74.9 187±156 40.5±24.4 82.2±40.8 34.2±15.2
Kumasi Children
(<5y; n=30)1238±403 39.7±14.8 168±137 126±108 165±103 159±85.8 68.8±27.0 37.3±18.7
Women
(19-50y; n=42)2528±964 83.8±47.0 274±187 114±106 243±176 56.8±27.5 120±63.1 42.6±22.5
Total Children
(<5y; n=83)1115±381 35.6±16.1 158±106 134±118 141±98.4 136±73.0 60.3±26.8 32.1±14.1
Women
(19-50y; n=119)2219±735 73.0±34.6 233±188 103±90.6 253±169 48.1±24.6 100±49.0 37.8±17.4
Tab. 1: Absolute and percentage dietary energy and nutrient intakes ofchildren <5y and women in reproductive age compared to respective WHO RNIs
R² = 0.96570
10
20
30
40
0 10 20 30 40
Iro
n In
take
mg
/d (
CIM
I)
Iron Intake mg/d (NutriSurvey®)
R² = 0.96830
5
10
15
20
25
0 5 10 15 20 25
Iro
n In
take
mg
/d (
CIM
I)
Iron Intake mg/d (NutriSurvey®)
Fig.2: Correlation between CIMI and NutriSurvey® of dietary iron intake inchildren <5y (A; n=83) and women of reproductive age (B; n=119)
Fig. 3: Dietary pattern of people livingin the Ashanti region of Ghana
Fig. 4: Mean dietary energy andnutrient intakes of study participants
• Dietary pattern in the Ashanti region of Ghana is characterized by starchystaples (54%), fruits (21%) and vegetables (17%)
• Results show an intake of energy, protein and most micronutrients aboverecommendations (RNI), due to a moderate consumption of animal-basedfood and substantial intakes of (pro) vitamin A rich oils, vegetables and fruits.
• Iron uptake of women in reproductive age and zinc uptake of children <5yis <50% and ~60% RNI, respectively
• Virtually no dairy products are part of the diet in the Ashanti region, resultingin an overall low calcium intake (<40% RNI).
A B
