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The role of food systems in improving
maternal and child nutrition in challenging
African low-income settings
Paula Dominguez-Salas
RVC / ILRI / LCIRAH
ISVEE, Merida, 5th November 2015
Pablo Alarcón
Eric Fèvre
Delia Grace
Elaine Ferguson
Laura Cornelsen
Livestock value chain team
James Akoko
Patrick Muinde
Maurice Karani…
Paula Dominguez-Salas
Nutrition team
Douglas Angogo
Judith Mwangangi
Gideon Mwangi
Emma Osoro
Jonathan Rushton
Barbara Häsler Silvia Alonso
Overweight	
  
Obesity	
  
MALNUTRITION	
  
MICRONUTRIENTS	
  
OVERNUTRITION	
  UNDERNUTRITION	
  
CHRONIC	
  
Stun4ng	
  
ACUTE	
  	
  
Was4ng	
  
Types of malnutrition
Moderate	
  
Severe	
  
Key micronutrients supplied by animal-
source foods (ASFs)
Nutrient	
  	
   ASF	
  source	
   Consequences	
  of	
  deficits	
   Availability	
  
	
  
Vit	
  A	
  
Dairy	
  
Liver	
  
Eggs	
  
Blindness,	
  growth	
  faltering,	
  
impaired	
  development	
  and	
  
immune	
  system	
  increased	
  
mortality.	
  
Preformed	
  vitamin	
  A	
  (reGnol	
  )	
  -­‐	
  almost	
  exclusive	
  of	
  
ASFs.	
  	
  
	
  
Plants	
  contain	
  pro-­‐vitamin	
  A	
  carotenoids,	
  less	
  
bioavailable.	
  
	
  
	
  
Iron	
  
Meat,	
  Fish	
  (Heme	
  iron	
  )	
  
Dairy,	
  Eggs	
  (Non-­‐heme	
  
iron)	
  
Anaemia;	
  Impaired	
  growth,	
  
immune	
  funcGon,	
  child	
  cogniGve	
  
development	
  and	
  school	
  
performance	
  lower	
  work	
  capacity,	
  	
  
maternal	
  mortality	
  
	
  Heme-­‐iron:	
  higher	
  availability	
  (15-­‐35%	
  absorpGon)	
  
and	
  enhances	
  absorpGon	
  of	
  non-­‐heme	
  iron	
  
	
  
Non-­‐heme	
  iron:	
  less	
  	
  bioavailable	
  (2-­‐20%	
  absorpGon)	
  
inhibited	
  by	
  phyGc	
  acid	
  and	
  fiber	
  of	
  cereal	
  diets.	
  
	
  
Calcium	
  
Dairy	
  	
  
Fish	
  (with	
  bones)	
  
NutriGonal	
  rickets,	
  increased	
  
effects	
  of	
  pre-­‐eclampsia	
  
AbsorpGon	
  inhibited	
  by	
  oxalates,	
  phytates	
  and	
  fiber.	
  
	
  
High	
  calcium	
  (and	
  casein)	
  	
  in	
  milk	
  inhibits	
  absorpGon	
  
non-­‐heme	
  iron.	
  
	
  
Vit	
  B2	
  
Dairy	
  	
  
Meat	
  and	
  organs	
  
Eggs	
  
Fish	
  
Stunted	
  growth,	
  skin	
  lesions,	
  
cheilosis,	
  angular	
  stomaGGs,	
  
glossiGs,	
  neuropathy,...	
  	
  
	
  
Zinc	
  
Meat	
  and	
  organs	
  
Fish.	
  
Eggs,	
  Dairy	
  to	
  a	
  lesser	
  
extent	
  
Pregnancy	
  complicaGons,	
  low	
  
birth	
  weight,	
  impaired	
  immune	
  
funcGon,	
  mortality,	
  	
  stunGng	
  
ASFs	
  have	
  higher	
  bioavailability	
  than	
  plant	
  sources.	
  
	
  
Protein	
  increases	
  absorpGon/	
  calcium,	
  phytates	
  and	
  
fiber	
  inhibit.	
  
Vit	
  B12	
   All	
  ASFs	
  -­‐only	
  in	
  ASF	
   MegaloblasGc	
  anaemia,	
  
demyelinaGng	
  disorder.	
  
	
  
Impaired	
  absorpGon	
  in	
  elderly	
  
Modified	
  from:	
  Randolph	
  2007	
  
Livestock	
  value	
  
chain	
  analysis	
  
LIVESTOCK	
  VALUE	
  CHAIN	
  ANALYSIS	
  
(Focus	
  group	
  discussions	
  and	
  key	
  informant	
  and	
  
individual	
  interviews	
  
	
  
	
  
Mapping	
  	
  
	
  
Governance	
  	
  
	
  
Upgrading	
  
	
  
Food	
  safety	
  risks	
  
	
  
Distribu4on	
  of	
  benefits	
  
Objectives
Methods: Cross -sectional
205	
  low-­‐income	
  
households	
  
Monthly income
<20,000 KES)	
  
	
  
HOUSEHOLD	
  SURVEY	
  
	
  
	
  
	
  
Maternal	
  (non-­‐pregnant	
  women	
  of	
  reproduc4ve	
  
age)	
  and	
  child	
  (1-­‐3y)	
  nutri4on:	
  
•  Anthropometry	
  and	
  hemoglobin	
  
•  24-­‐h	
  recall	
  
	
  
Consump4on	
  pa[erns	
  of	
  ASF	
  
•  ASFs	
  consumpGon	
  (what,	
  when,	
  why,	
  who?)	
  
•  Expenditure	
  in	
  ASFs	
  (how	
  much)	
  
•  Supply	
  of	
  ASFs	
  (from	
  where	
  and	
  why)	
  
Nairobi	
  Slums	
  malnutri4on	
  key	
  findings:	
  
•  Underweight-­‐	
  Children:	
  StunGng	
  41%;	
  WasGng:	
  4%	
  
•  Overweight	
  -­‐Women:	
  Overweight:	
  19%;	
  Obesity:	
  10%	
  
•  Anaemia:	
  Children	
  74%;	
  Women:	
  26%	
  
Nutrient	
  %	
  covered	
  
by	
  the	
  
recommenda4ons
Vit	
  C B1 B2 B3 B6 Fol B12 Vit	
  A Ca Fe Zn
Cost/day	
  
[KES]
N
Best	
  possible	
  
individual	
  diet
273.4 166.8 238.5 145.5 192 220.7 869.9 847.7 100 81 427.6 229.2 11
No	
  recommenda4ons 9 69.3 79.3 54 62.1 33 336.1 30.2 12 21.7 150.6 80.1 3
1.	
  7p/wk	
  Fruit 99.6 70.7 81.9 57 79.8 41.4 336.1 46 14.2 21.7 150.6 87.1 5
2.	
  Rec	
  1	
  	
  
+	
  28p/wk	
  Vegetables
186.2 81.9 91.9 64.4 98.8 50 336.1 130.9 18.9 24.3 154.2 91.9 7
3.	
  Rec	
  1	
  +2	
  	
  
+	
  7	
  p/wk	
  Pulses
193.9 114.5 94.8 64.4 109.5 130.5 336.1 130.9 24.8 30 163.5 91.9 8
4.	
  Rec	
  1	
  +	
  2+	
  3	
  	
  
+	
  28	
  p/wk	
  Dairy
198.4 116 144.4 64.4 109.7 132.3 379.9 177.5 81.6 30 176.1 125.4 9
5.	
  Rec	
  1	
  +	
  2+	
  3	
  +	
  4	
  
+	
  21	
  p/wk	
  ASF
198.4 116 148.7 70.8 114.4 132.3 404.5 177.9 81.8 34.1 186.6 141.6 10
6.	
  Rec	
  1	
  +	
  2+	
  3	
  +	
  4	
  
+	
  21	
  p/wk	
  ASF	
  (7	
  egg-­‐	
  
4	
  red	
  meat-­‐	
  4	
  poultry-­‐	
  
3	
  sausage)
198.4 126.8 172.3 89.8 140.7 146.4 1273.6 227.2 83.6 46.6 300 172.9 10
Population-based diet recommendations -women
Nairobi	
  Slums	
  malnutri4on	
  key	
  findings:	
  
•  Underweight-­‐	
  Children:	
  StunGng	
  41%;	
  WasGng:	
  4%	
  
•  Overweight	
  -­‐Women:	
  Overweight:	
  19%;	
  Obesity:	
  10%	
  
•  Anaemia:	
  Children	
  74%;	
  Women:	
  26%	
  
ASF own-price and income elasticities
ASF	
  own-­‐/	
  
cross-­‐	
  price	
  
elas4ci4es	
  
Beef	
  meat Offal Processed	
  
meat
Fresh	
  
milk
Fermented	
  
milk
Eggs Fish Other	
  
meats
Broiler	
  
chicken
Beef	
  meat
-­‐0.95** -­‐0.38** 0.22 -­‐0.19* 0.18 -­‐0.15 -­‐0.30** 0.27 -­‐0.01
Offal
-­‐0.56** -­‐1.62** 0.09 0.07 0.43 0.52** -­‐0.03 0.17 -­‐0.24
Processed	
  meat
0.5 0.16 -­‐1.34* 0.06 0.01 0.93** -­‐0.09 0.82* -­‐0.24
Fresh	
  milk
0.009 0.11* -­‐0.003 -­‐1.08** 0.15 0.03 0.1** -­‐0.09 0.15*
Fermented	
  milk
0.47 0.65 0.03 0.85** -­‐2.4** -­‐0.19 0.09 0.44 -­‐0.06
Eggs
-­‐0.26 0.76** 0.88** -­‐0.04 -­‐0.25 0.22 -­‐0.14 0.82* 0.20
Fish
-­‐0.20* 0.03 -­‐0.04 0.38** 0.03 -­‐0.02 -­‐1.09** -­‐0.44** 0.21
Other	
  meats
0.29 0.14 0.41* -­‐0.19 0.21 0.44* -­‐0.49* -­‐0.81* 0.22
Broiler	
  chicken
-0.05 -0.19 -0.15 0.07 -0.06 -0.14 0.16 0.19 -­‐1.90**
Expenditure	
  
elas4ci4es
1.35** 1.38** 0.81** 0.82** 0.28 1.17** 0.52** 0.98** 1.47**
HHs	
  allocated	
  on	
  average	
  42%	
  of	
  their	
  food	
  expenditure	
  to	
  ASFs,	
  of	
  which	
  52%	
  were	
  allocated	
  
to	
  dairy	
  products	
  and	
  13%	
  to	
  beef.	
  
*significant	
  at	
  least	
  p<0.1;	
  **p<0.05	
  
ASF choice drivers: Why is it (not) consumed?
0%	
  
20%	
  
40%	
  
60%	
  
80%	
  
100%	
  
taste	
  
nutriGon	
  
price	
  
tradiGon	
  
access	
  risk	
  dis	
  
hygiene	
  
prod	
  pres	
  
don't	
  know	
  
Beef	
  meat	
  	
  
eat	
  (n=163)	
   not	
  eat	
  (n=37)	
  
Dairy demand-supply considerations
Consump4on	
  	
  
	
  
98.5%	
  of	
  HHs	
  
5.5	
  Gmes/week/HH	
  
Nutri&on:	
  68%	
  
Taste:	
  65%	
  
Why	
  NOT	
  
	
  
Access:	
  73%	
  
Price:	
  40%	
  
Why	
  YES	
  
	
   Elas4city	
  
	
  
-­‐1.08	
  own-­‐price	
  
Value	
  chain	
  issues	
  
	
  •  Key	
  retailers:	
  
•  Milk	
  bars	
  (raw,	
  informal	
  traders),	
  
•  Kiosks	
  (mainly	
  processed,	
  large	
  
companies),	
  
•  Slum	
  producers	
  (raw).	
  
•  In	
  some	
  slums,	
  factories	
  sell	
  milk	
  
about	
  to	
  expire	
  at	
  a	
  cheaper	
  price.	
  
•  	
  Mainly	
  women-­‐dominated	
  chain.	
  	
  
•  Processed	
  milk	
  is	
  controlled	
  by	
  few	
  
large	
  companies.	
  	
  
•  Important	
  wastage	
  in	
  large	
  companies	
  
•  Informal	
  sector:	
  Food	
  safety	
  risks	
  due	
  
to	
  adultera4on,	
  lack	
  of	
  cold	
  chain,	
  
inadequate	
  transport,	
  poor	
  hygiene,	
  
an4microbial	
  use,	
  lack	
  of	
  licensing,	
  
regulaGon	
  and	
  training.	
  
DEMAND	
  
SUPPLY	
  	
  
•  ‘Triple	
  burden’	
  of	
  malnutriGon	
  →	
  think	
  food	
  systems	
  
backwards	
  from	
  consumer’s	
  nutriGon	
  gaps/problems	
  
•  Importance	
  of	
  ASFs	
  in	
  malnutriGon	
  →	
  nutri4on-­‐
sensi4ve	
  livestock	
  value	
  chain	
  approaches	
  are	
  necessary
•  Food	
  choice	
  drivers	
  influence	
  ASF	
  strategies	
  success:	
  
economic	
  (price,	
  income),	
  biological	
  (taste,	
  health),	
  
physical	
  (access,	
  appearance),	
  cultural	
  (religion,	
  peer)	
  
•  This	
  supply-­‐demand	
  	
  approach	
  allows	
  to	
  idenGfy	
  safe	
  
entry	
  points	
  in	
  the	
  livestock	
  value	
  chains	
  that	
  opGmise	
  
nutriGon	
  	
  	
  
Final remarks	
  
THANK YOU!!
Funding:	
  A4NH,	
  ILRI,	
  LCIRAH,	
  Urban	
  Zoonoses	
  project	
  	
  
Field	
  support:	
  APHRC,	
  	
  MoH,	
  HKI	
  	
  
Photobooks:	
  Kenyan	
  Medical	
  Research	
  InsGtute/Micronutrient	
  
IniGaGve	
  

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The role of food systems in improving maternal and child nutrition in challenging African low-income settings

  • 1. The role of food systems in improving maternal and child nutrition in challenging African low-income settings Paula Dominguez-Salas RVC / ILRI / LCIRAH ISVEE, Merida, 5th November 2015
  • 2. Pablo Alarcón Eric Fèvre Delia Grace Elaine Ferguson Laura Cornelsen Livestock value chain team James Akoko Patrick Muinde Maurice Karani… Paula Dominguez-Salas Nutrition team Douglas Angogo Judith Mwangangi Gideon Mwangi Emma Osoro Jonathan Rushton Barbara Häsler Silvia Alonso
  • 3. Overweight   Obesity   MALNUTRITION   MICRONUTRIENTS   OVERNUTRITION  UNDERNUTRITION   CHRONIC   Stun4ng   ACUTE     Was4ng   Types of malnutrition Moderate   Severe  
  • 4. Key micronutrients supplied by animal- source foods (ASFs) Nutrient     ASF  source   Consequences  of  deficits   Availability     Vit  A   Dairy   Liver   Eggs   Blindness,  growth  faltering,   impaired  development  and   immune  system  increased   mortality.   Preformed  vitamin  A  (reGnol  )  -­‐  almost  exclusive  of   ASFs.       Plants  contain  pro-­‐vitamin  A  carotenoids,  less   bioavailable.       Iron   Meat,  Fish  (Heme  iron  )   Dairy,  Eggs  (Non-­‐heme   iron)   Anaemia;  Impaired  growth,   immune  funcGon,  child  cogniGve   development  and  school   performance  lower  work  capacity,     maternal  mortality    Heme-­‐iron:  higher  availability  (15-­‐35%  absorpGon)   and  enhances  absorpGon  of  non-­‐heme  iron     Non-­‐heme  iron:  less    bioavailable  (2-­‐20%  absorpGon)   inhibited  by  phyGc  acid  and  fiber  of  cereal  diets.     Calcium   Dairy     Fish  (with  bones)   NutriGonal  rickets,  increased   effects  of  pre-­‐eclampsia   AbsorpGon  inhibited  by  oxalates,  phytates  and  fiber.     High  calcium  (and  casein)    in  milk  inhibits  absorpGon   non-­‐heme  iron.     Vit  B2   Dairy     Meat  and  organs   Eggs   Fish   Stunted  growth,  skin  lesions,   cheilosis,  angular  stomaGGs,   glossiGs,  neuropathy,...       Zinc   Meat  and  organs   Fish.   Eggs,  Dairy  to  a  lesser   extent   Pregnancy  complicaGons,  low   birth  weight,  impaired  immune   funcGon,  mortality,    stunGng   ASFs  have  higher  bioavailability  than  plant  sources.     Protein  increases  absorpGon/  calcium,  phytates  and   fiber  inhibit.   Vit  B12   All  ASFs  -­‐only  in  ASF   MegaloblasGc  anaemia,   demyelinaGng  disorder.     Impaired  absorpGon  in  elderly   Modified  from:  Randolph  2007  
  • 5. Livestock  value   chain  analysis   LIVESTOCK  VALUE  CHAIN  ANALYSIS   (Focus  group  discussions  and  key  informant  and   individual  interviews       Mapping       Governance       Upgrading     Food  safety  risks     Distribu4on  of  benefits  
  • 7. Methods: Cross -sectional 205  low-­‐income   households   Monthly income <20,000 KES)     HOUSEHOLD  SURVEY         Maternal  (non-­‐pregnant  women  of  reproduc4ve   age)  and  child  (1-­‐3y)  nutri4on:   •  Anthropometry  and  hemoglobin   •  24-­‐h  recall     Consump4on  pa[erns  of  ASF   •  ASFs  consumpGon  (what,  when,  why,  who?)   •  Expenditure  in  ASFs  (how  much)   •  Supply  of  ASFs  (from  where  and  why)  
  • 8. Nairobi  Slums  malnutri4on  key  findings:   •  Underweight-­‐  Children:  StunGng  41%;  WasGng:  4%   •  Overweight  -­‐Women:  Overweight:  19%;  Obesity:  10%   •  Anaemia:  Children  74%;  Women:  26%  
  • 9. Nutrient  %  covered   by  the   recommenda4ons Vit  C B1 B2 B3 B6 Fol B12 Vit  A Ca Fe Zn Cost/day   [KES] N Best  possible   individual  diet 273.4 166.8 238.5 145.5 192 220.7 869.9 847.7 100 81 427.6 229.2 11 No  recommenda4ons 9 69.3 79.3 54 62.1 33 336.1 30.2 12 21.7 150.6 80.1 3 1.  7p/wk  Fruit 99.6 70.7 81.9 57 79.8 41.4 336.1 46 14.2 21.7 150.6 87.1 5 2.  Rec  1     +  28p/wk  Vegetables 186.2 81.9 91.9 64.4 98.8 50 336.1 130.9 18.9 24.3 154.2 91.9 7 3.  Rec  1  +2     +  7  p/wk  Pulses 193.9 114.5 94.8 64.4 109.5 130.5 336.1 130.9 24.8 30 163.5 91.9 8 4.  Rec  1  +  2+  3     +  28  p/wk  Dairy 198.4 116 144.4 64.4 109.7 132.3 379.9 177.5 81.6 30 176.1 125.4 9 5.  Rec  1  +  2+  3  +  4   +  21  p/wk  ASF 198.4 116 148.7 70.8 114.4 132.3 404.5 177.9 81.8 34.1 186.6 141.6 10 6.  Rec  1  +  2+  3  +  4   +  21  p/wk  ASF  (7  egg-­‐   4  red  meat-­‐  4  poultry-­‐   3  sausage) 198.4 126.8 172.3 89.8 140.7 146.4 1273.6 227.2 83.6 46.6 300 172.9 10 Population-based diet recommendations -women Nairobi  Slums  malnutri4on  key  findings:   •  Underweight-­‐  Children:  StunGng  41%;  WasGng:  4%   •  Overweight  -­‐Women:  Overweight:  19%;  Obesity:  10%   •  Anaemia:  Children  74%;  Women:  26%  
  • 10. ASF own-price and income elasticities ASF  own-­‐/   cross-­‐  price   elas4ci4es   Beef  meat Offal Processed   meat Fresh   milk Fermented   milk Eggs Fish Other   meats Broiler   chicken Beef  meat -­‐0.95** -­‐0.38** 0.22 -­‐0.19* 0.18 -­‐0.15 -­‐0.30** 0.27 -­‐0.01 Offal -­‐0.56** -­‐1.62** 0.09 0.07 0.43 0.52** -­‐0.03 0.17 -­‐0.24 Processed  meat 0.5 0.16 -­‐1.34* 0.06 0.01 0.93** -­‐0.09 0.82* -­‐0.24 Fresh  milk 0.009 0.11* -­‐0.003 -­‐1.08** 0.15 0.03 0.1** -­‐0.09 0.15* Fermented  milk 0.47 0.65 0.03 0.85** -­‐2.4** -­‐0.19 0.09 0.44 -­‐0.06 Eggs -­‐0.26 0.76** 0.88** -­‐0.04 -­‐0.25 0.22 -­‐0.14 0.82* 0.20 Fish -­‐0.20* 0.03 -­‐0.04 0.38** 0.03 -­‐0.02 -­‐1.09** -­‐0.44** 0.21 Other  meats 0.29 0.14 0.41* -­‐0.19 0.21 0.44* -­‐0.49* -­‐0.81* 0.22 Broiler  chicken -0.05 -0.19 -0.15 0.07 -0.06 -0.14 0.16 0.19 -­‐1.90** Expenditure   elas4ci4es 1.35** 1.38** 0.81** 0.82** 0.28 1.17** 0.52** 0.98** 1.47** HHs  allocated  on  average  42%  of  their  food  expenditure  to  ASFs,  of  which  52%  were  allocated   to  dairy  products  and  13%  to  beef.   *significant  at  least  p<0.1;  **p<0.05  
  • 11. ASF choice drivers: Why is it (not) consumed? 0%   20%   40%   60%   80%   100%   taste   nutriGon   price   tradiGon   access  risk  dis   hygiene   prod  pres   don't  know   Beef  meat     eat  (n=163)   not  eat  (n=37)  
  • 12. Dairy demand-supply considerations Consump4on       98.5%  of  HHs   5.5  Gmes/week/HH   Nutri&on:  68%   Taste:  65%   Why  NOT     Access:  73%   Price:  40%   Why  YES     Elas4city     -­‐1.08  own-­‐price   Value  chain  issues    •  Key  retailers:   •  Milk  bars  (raw,  informal  traders),   •  Kiosks  (mainly  processed,  large   companies),   •  Slum  producers  (raw).   •  In  some  slums,  factories  sell  milk   about  to  expire  at  a  cheaper  price.   •   Mainly  women-­‐dominated  chain.     •  Processed  milk  is  controlled  by  few   large  companies.     •  Important  wastage  in  large  companies   •  Informal  sector:  Food  safety  risks  due   to  adultera4on,  lack  of  cold  chain,   inadequate  transport,  poor  hygiene,   an4microbial  use,  lack  of  licensing,   regulaGon  and  training.   DEMAND   SUPPLY    
  • 13. •  ‘Triple  burden’  of  malnutriGon  →  think  food  systems   backwards  from  consumer’s  nutriGon  gaps/problems   •  Importance  of  ASFs  in  malnutriGon  →  nutri4on-­‐ sensi4ve  livestock  value  chain  approaches  are  necessary •  Food  choice  drivers  influence  ASF  strategies  success:   economic  (price,  income),  biological  (taste,  health),   physical  (access,  appearance),  cultural  (religion,  peer)   •  This  supply-­‐demand    approach  allows  to  idenGfy  safe   entry  points  in  the  livestock  value  chains  that  opGmise   nutriGon       Final remarks  
  • 14. THANK YOU!! Funding:  A4NH,  ILRI,  LCIRAH,  Urban  Zoonoses  project     Field  support:  APHRC,    MoH,  HKI     Photobooks:  Kenyan  Medical  Research  InsGtute/Micronutrient   IniGaGve