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Module 5: Nutritional assessment in
       policy and programmatic application
                                                            By
      Tina G. Sanghvi, PhD Senior Country Director Alive & Thrive, FHI360
                     Training on Assessment of Nutritional Status 18-22 December 2011

                                                 Date : 22 December 2011,
                                                Venue: FPMU Meeting Room



  The Training is organized by the National National Food Policy Capacity Strengthening Programme (NFPCSP) . The NFPCSP is jointly
implemented by the Food Planning and Monitoring Unit (FPMU), Ministry of Food and Disaster Management and Food and Agriculture
                       Organization of the United Nations (FAO) with the financial support of the EU and USAID.
Acknowledgements
• M. Ruel, IFPRI. Nutrition and economic growth A&T
  Partners’ Meeting Hanoi, September 2011
• Lalita Bhattacharjee, FSNSP Dissemination Workshop.
  December 13 December 13, 2011.
• Mahbub Hossain, BRAC. FSNSP Dissemination
  Workshop. December 13, 2011
• John B. Mason. Keynote paper: Measuring hunger and
  malnutrition.FAO Symposium 2002
• IFPRI. Alive & Thrive Baseline Survey 2011.
• Haider, Sanghvi et al. Alive & Thrive Formative Research
  on IYCF. 2009.


               Module 5: Program and Policy Application, Tina Sanghvi PhD
Session Overview
• Uses of data for policy & programs
  – Examples


• Why dietary adequacy does not always equal
  nutritional status
  – Examples




               Module 5: Program and Policy Application, Tina Sanghvi PhD
Indicators – Country Investment Plan
Key Indicators                                  Baseline (‘07-’10)                Final ‘15-’16)
Overall goal:
% People undernourished                                         27                      17.5
% Child stunting                                                43                       25
% Child underweight                                             41                       33
Outcome/impact:
Food availability (food supplies)                 (rice supply & share)
Food access (income)
   - Poverty rate < 2022 kcals/day                              40                       24
   - Poverty rate < 1805 kcals/day                             19.5                      14
Food utilization
   - Minimum acceptable                                         42                       56
     complementary feeding
  (quantity & quality of CF 6-23 m)
                     Module 5: Program and Policy Application, Tina Sanghvi PhD
Uses of data for policy & programs
• How food & nutrition assessments are used:
   – Define trends to trigger action
   – Identify causes to design interventions
   – Monitor & evaluate effects of programs & policies
• Choice of indicators & interpretation are key
Example: In Bangladesh, food and poverty trends
  have improved. Fertility & mortality rates have
  declined but malnutrition is stagnant. This is
  triggering actions to find out the causes, evaluate
  past programs and strengthen nutrition
  interventions, e.g. CIP, NFP, POA, National
  Nutrition Service to evaluate their future effects

                 Module 5: Program and Policy Application, Tina Sanghvi PhD
METHODS OF ASSESSING FOOD
       SECURITY& NUTRITION & THEIR USE
    Method                                                 Use
                          Trends analysis           Research into             Evaluation
                                                       causes
(1 ) FAO: DES/CV           Main use: global and   Not very useful except Not very useful
dietary energy supply regional level; always      for broad inter-country
(coefficient of variation) under-estimates        trends


(2) Household income Useful: national and         Can be useful           Useful
and expenditure survey subnational level
(3) Food consumption/ Useful: now available at Main use                   Main use
                       the national level, thus
individual intake (24- very useful, captures
hour)                  intra-HH food distrib.
(4) Anthropometry       Useful at all levels, but Useful for physical     Useful but should also
(mother, child weight & for physical malnutrition malnutrition not food   have food security
height)                 and not food security     security                indicators
(5) Qualitative method Useful: national and       Useful                  Useful
(food habits)          subnational level
Questions that can be addressed by
                 different methods
    Method                                                    Use
                           Trends analysis             Causal analysis            Evaluation
(1 ) FAO: DES/CV           Is the supply of food in   Is the cause of food    Are food supply
dietary energy supply terms of calories/              insecurity &            policies/programs
(coefficient of variation) energy improving to        undernutrition due to   working? Impact of
                           meet needs, if             overall food supply?
                                                                              climate change/
                           equitably distributed?
                                                                              disasters on supplies?
(2) Household income Are no. of food secure           Is the cause of         Are programs working
and expenditure survey HH (in energy and              problems due to low     to reach the poor?
                          nutrients) improving?       expenditures on food?
(3) Food consumption/ Are mothers and young           Is the problem food    Are programs for
                          children consuming          availability/access or women and young
individual intake (24-hr) more adequate diets?        dietary habits?        children working?
(4) Anthropometry        Is nutritional status        No                      Does the program
(mother/child wt, ht)    improving?                                           improve nutrition of
                                                                              mothers & children?
(5) Qualitative method Are food habits                Are habits a barrier?   Does the program
(food habits, frequency) improving?                                           improve food habits?
How we present and interpret data
  makes a difference: examples




        Module 5: Program and Policy Application, Tina Sanghvi PhD
Trends in food intake (gms/capita/day)
                   All                          Urban                           Rural

1991-92             886                         938                              878
1995-96             914                         931                              911
2005                949                         952                              946
2010               1000                         985                             1005
•Intakes improving faster in rural areas,
•Averages hide disparities among economic groups


                         Module 5: Program and Policy Application, Tina Sanghvi PhD
Food available in grams per head per day
 1050

 1000

 950
                                                                                      All
                                                                                      Urban
 900
                                                                                      Rural
 850

 800
        1991-92          1995-96                    2005                       2010

                  Module 5: Program and Policy Application, Tina Sanghvi PhD
Diversity:
-National supplies
 -Household level
   - Child’s diet
  -Women’s diet


Module 5: Program and Policy Application, Tina Sanghvi PhD
Trends in food content adequacy
           (gms/capita/day)
Food            Recom.                    2005                    2010    Trend
Rice            390                       440                     416
Wheat           100                       12                      26
Vegetables      225                       220                     236
Pulses          30                        14                      14
Oil             20                        16                      21
Fish            45                        42                      49
Meat/eggs       34                        20                      25
             Module 5: Program and Policy Application, Tina Sanghvi PhD
Content of food basket: improving
             diversity
 500
 450
 400
 350                                                          Rice
 300                                                          Wheat
 250                                                          Vegetables
 200
                                                              Pulses
 150
 100                                                          Oil
  50                                                          Fish
   0                                                          Meat/eggs
       2005                2010

         Module 5: Program and Policy Application, Tina Sanghvi PhD
Content of food basket: gaps in diversity
 500
 450
 400
 350                                                              Recom.

 300
 250                                                              2005
 200
 150                                                              2010
 100
  50
   0




          Module 5: Program and Policy Application, Tina Sanghvi PhD
Dietary intake assessment is key
• RAP –low cost, primary method for collecting dietary data
    (locally available /commonly consumed foods, dietary
    habits, behaviour)
•   Household surveys – provide data on foods consumed by
    HH not individuals
•   Point to which foods are major contributors to nutrients of
    particular concern ( identify vulnerability/at risk of dietary
    deficiency - e.g lack of animal foods; no fresh
    vegetables/fruits, lack of DGLV/YOV–lack of vit. C & A in
    diet)
•   Food record and 24 hr recall methods of choice for
    estimating mean intakes; quantitative dietary intake
    methods to obtain individual nutrient intakes
•   Take measurements for each individual on at least 2 non-
    consecutive days to obtain intra-individual variation

                   Module 5: Program and Policy Application, Tina Sanghvi PhD
Why improving food security does not
 necessarily remove undernutrition




         Module 5: Program and Policy Application, Tina Sanghvi PhD
A&T Baseline: Stunting is High Even
                               in Food Secure Households
                                                                      Bivariate
                       55

                                                                                53.29
                       50
                                                                                                                  49.88
                       45                                         46.39 47.32                             47.07
                                                                                                  44.52
                       40
                                                                                          39.28
                       35
     PERCENT STUNTED




                                                          35.38
                       30
                                                                                                                          Food secure
                       25
                                                                                                                          Mildly food insecure
                       20                   22.99 23.14                                                                   Moderate food insecure
                                    19.18                                                                                 Severely food insecure
                       15
                            13.88
                       10

                       5

                       0


                                    Vietnam                 Bangladesh                            Ethiopia
+   p < 0.10, * p < 0.05, ** p < 0.01, *** p < 0.001
                                                          Module 5: Program and Policy Application, Tina Sanghvi PhD
    Ruel; A&T Partners' Meeting, Hanoi
                9/27/2011
Factors that determine nutritional status




                     Module 5: Program and Policy Application, Tina Sanghvi PhD
Adequate Complementary Feeding
100

 90
          By Wealth Quintiles                         By Age Groups
 80

 70

 60
                                                                      58
 50
                      47     44     48                        48
 40
       38     38                                        36
 30

 20                                              16
 10

  0


      Lowest Second Middle Fourth Highest        6-8m 9-11m 12-17m 18-23m

                                     BDHS 2007
Quality of Children’s Diets (BDHS, 2007)
              Meat, Fish, Poultry and Eggs Consumed (< 24 h)

  100
   90
   80                                                         71    75
   70                                                   64
   60                                             48
   50
   40                                       34
   30                                24
   20                           10
   10           0     0    2
    0
        Age    <2 m 2-3 m 4-5 m 6-7m 8-9m   10-   12-   16-   20-   24-
                                            11m   15m   19m   23m   35m
Why is nutrition not improving?
• Knowledge: do people know what foods they should
  consume by age, sex, occupation, physiological status?
• Do families have the resources/motivation to convert
  knowledge to practice
• If food intakes (energy and nutrients) are
  adequate, could there be intervening factors e.g. illness
• Pre-disposing factors: maternal undernutrition
  seasonal food/income shortages, migration, illness
  outbreaks, hygiene/sanitation, emergencies
• Importance of under 2’s


               Module 5: Program and Policy Application, Tina Sanghvi PhD
Illustration of association between
       dietary adequacy and anthropometry
Prevalence of               % with                       % with                     Total under
under                       inadequate                   adequate                   or adequate
nutrition                   diet                         diet                       nutrition
% <-2SDs                       20                          10                        30

% > -2SDs                           0                         70                       70

Total sample                      20                          80                      100

 Note: 10% have adequate diets but are still undernourished due to other causes

    Source : Mason, 2002 in “Measurement and Assessment of Food Deprivation and Undernutrition”, FAO
New focus on under 2 yr age group
• Most rapid decline in nutritional status
• Damage is largely not reversible
• Affects child growth + adult chronic diseases
• Affects brain development/learning as well as
  physical development
• All national nutrition indicators focus on
  young children, to improve MDG 1 have to
  prevent under 2 decline in nutrition
            Module 5: Program and Policy Application, Tina Sanghvi PhD
Goal: To reduce undernutrition, improve IYCF
                           Maximum decline at 3 to 15 months – period of IYCF
                         0.5
Length-for-age Z-score


                                    EBF           Complementary Feeding
                           0
                                    -------       ---------------------------
                         -0.5
                                                                            Boys WHO           Girls WHO
                                                                                    Growth of girls/ boys
                                                                            Boys NCHS          Girls NCHS
                                                                                   NCHS/WHO standards
                          -1

                         -1.5

                          -2

                         -2.5
                                1     3       5       7        9       11      13       15       17        19   21   23   25

                                                                        Age (mo)
                                          Growth data: Kuntal K. Saha et al, Food Nutr Bull. 2009; 30: 137-44
                                                                       ICDDRB

                                              Module 5: Program and Policy Application, Tina Sanghvi PhD
CF Provides Adequate Energy & Nutrients
                   Energy Required & Amount From Breastmilk & CF
                   1000
                    900
                    800                                      BF + CF
Calories per day




                    700                                                                 550
                          Exclusive BF
                    600
                                                                        300                      Compl. Food
                    500                                 200
                    400                                                                          Breastmilk
                    300
                    200
                    100
                      0

                           0-2           3-6             7-8            9-11           12-23
                                                Age in months

                                                     ½ Bati          ½ Bati          1 Bati    •At least 4 types
             Recommended diet:                       2 times         3 times         3 times   •Hygienically
                                                     Daily +         Daily +         Daily+     prepared

                                  Module 5: Program and Policy Application, Tina Sanghvi PhD
                                                                                                    Bati = 250 ml
Indicators – Country Investment Plan
Key Indicators                                  Baseline (‘07-’10)                Final ‘15-’16)
Overall goal:
% People undernourished                                         27                      17.5
% Child stunting                                                43                       25
% Child underweight                                             41                       33
Outcome/impact:
Food availability (food supplies)                 (rice supply & share)
Food access (income)
   - Poverty rate < 2022 kcals/day                              40                       24
   - Poverty rate < 1805 kcals/day                             19.5                      14
Food utilization
   - Minimum acceptable                                         42                       56
     complementary feeding
  (quantity & quality of CF 6-23 m)
                     Module 5: Program and Policy Application, Tina Sanghvi PhD
Minimum acceptable diet for under 2’s
• 3 conditions must be met:

  – Breastfeeding
  – Meal frequency as per age (2 to 3 times plus snacks)
  – At least 4 different categories of food

  Analysis should be used to focus BCC messages, how to
    deal with HH food availability, mothers’ time
    constraints etc.

              Module 5: Program and Policy Application, Tina Sanghvi PhD
100
                                 Gaps in feeding
 90


 80
      Median EBF 1.8 m                                                                           68
 70


 60
                                                              58
 50
                                                 48                                         47
       43       43                                                                     43
 40                                 36
 30


 20                      16
 10


  0
      Breastfeeding      Complementary Feeding



                                         BDHS 2007, WHO (HKI 2006)
                          Module 5: Program and Policy Application, Tina Sanghvi PhD
Main messages
• What is needed to ensure food security &
  nutrition results:
  – Food availability - Food access - Food utilization
  – Behavior change communications to promote
    specific dietary & health habits
• Disaggregated analysis of trends, causes &
  evaluations to design relevant interventions
• Equity: rational use of foods to reach the
  disadvantaged & high risk ages; targeted
  nutrition

              Module 5: Program and Policy Application, Tina Sanghvi PhD
Conclusion
• Understanding what indicators & assessment
  methods to use in policy & programs is key
• Food & dietary adequacy (total energy &
  diversity) is a necessary, but not sufficient
  condition for good nutrition
• Interpreting and presenting data in an
  accurate and relevant manner is essential
• Assessments that do not lead to actions are
  meaningless
            Module 5: Program and Policy Application, Tina Sanghvi PhD

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Plus de Sizwan Ahammed

Topic 21 evidence on diet diversity
Topic 21 evidence on diet diversityTopic 21 evidence on diet diversity
Topic 21 evidence on diet diversitySizwan Ahammed
 
Topic 21 diet diversity
Topic 21 diet diversityTopic 21 diet diversity
Topic 21 diet diversitySizwan Ahammed
 
Topic 20 anthropomeric indicators
Topic 20 anthropomeric indicatorsTopic 20 anthropomeric indicators
Topic 20 anthropomeric indicatorsSizwan Ahammed
 
Topic 20 anthro meaurement
Topic 20 anthro meaurementTopic 20 anthro meaurement
Topic 20 anthro meaurementSizwan Ahammed
 
Topic 19 inequality stata
Topic 19 inequality stataTopic 19 inequality stata
Topic 19 inequality stataSizwan Ahammed
 
Topic 18 multiple regression
Topic 18 multiple regressionTopic 18 multiple regression
Topic 18 multiple regressionSizwan Ahammed
 
Topic17 regression spss
Topic17 regression spssTopic17 regression spss
Topic17 regression spssSizwan Ahammed
 
Topic 15 correlation spss
Topic 15 correlation spssTopic 15 correlation spss
Topic 15 correlation spssSizwan Ahammed
 
Topic 14 maternal education
Topic 14 maternal educationTopic 14 maternal education
Topic 14 maternal educationSizwan Ahammed
 
Topic 13 con pattern spss
Topic 13 con pattern spssTopic 13 con pattern spss
Topic 13 con pattern spssSizwan Ahammed
 
Topic 12 gender technology interface
Topic 12 gender technology interfaceTopic 12 gender technology interface
Topic 12 gender technology interfaceSizwan Ahammed
 
Topic 11 commercialization
Topic 11 commercializationTopic 11 commercialization
Topic 11 commercializationSizwan Ahammed
 

Plus de Sizwan Ahammed (20)

Topic 21 evidence on diet diversity
Topic 21 evidence on diet diversityTopic 21 evidence on diet diversity
Topic 21 evidence on diet diversity
 
Topic 21 diet diversity
Topic 21 diet diversityTopic 21 diet diversity
Topic 21 diet diversity
 
Topic 20 anthropomeric indicators
Topic 20 anthropomeric indicatorsTopic 20 anthropomeric indicators
Topic 20 anthropomeric indicators
 
Topic 20 anthro meaurement
Topic 20 anthro meaurementTopic 20 anthro meaurement
Topic 20 anthro meaurement
 
Topic 20 anthro stata
Topic 20 anthro stataTopic 20 anthro stata
Topic 20 anthro stata
 
Topic 19 inequaltiy
Topic 19 inequaltiyTopic 19 inequaltiy
Topic 19 inequaltiy
 
Topic 19 inequality stata
Topic 19 inequality stataTopic 19 inequality stata
Topic 19 inequality stata
 
Topic 18 multiple regression
Topic 18 multiple regressionTopic 18 multiple regression
Topic 18 multiple regression
 
Topic 17 regression
Topic 17 regressionTopic 17 regression
Topic 17 regression
 
Topic17 regression spss
Topic17 regression spssTopic17 regression spss
Topic17 regression spss
 
Topic 16 poverty(ii)
Topic 16 poverty(ii)Topic 16 poverty(ii)
Topic 16 poverty(ii)
 
Topic 16 poverty(i)
Topic 16 poverty(i)Topic 16 poverty(i)
Topic 16 poverty(i)
 
Topic 15 correlation spss
Topic 15 correlation spssTopic 15 correlation spss
Topic 15 correlation spss
 
Topic 15 correlation
Topic 15 correlationTopic 15 correlation
Topic 15 correlation
 
Topic 14 two anova
Topic 14 two anovaTopic 14 two anova
Topic 14 two anova
 
Topic 14 maternal education
Topic 14 maternal educationTopic 14 maternal education
Topic 14 maternal education
 
Topic 13 cons pattern
Topic 13 cons patternTopic 13 cons pattern
Topic 13 cons pattern
 
Topic 13 con pattern spss
Topic 13 con pattern spssTopic 13 con pattern spss
Topic 13 con pattern spss
 
Topic 12 gender technology interface
Topic 12 gender technology interfaceTopic 12 gender technology interface
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Topic 11 commercialization
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Sanghvi 9 linking dietary intakes with nutritional assessment

  • 1. Module 5: Nutritional assessment in policy and programmatic application By Tina G. Sanghvi, PhD Senior Country Director Alive & Thrive, FHI360 Training on Assessment of Nutritional Status 18-22 December 2011 Date : 22 December 2011, Venue: FPMU Meeting Room The Training is organized by the National National Food Policy Capacity Strengthening Programme (NFPCSP) . The NFPCSP is jointly implemented by the Food Planning and Monitoring Unit (FPMU), Ministry of Food and Disaster Management and Food and Agriculture Organization of the United Nations (FAO) with the financial support of the EU and USAID.
  • 2. Acknowledgements • M. Ruel, IFPRI. Nutrition and economic growth A&T Partners’ Meeting Hanoi, September 2011 • Lalita Bhattacharjee, FSNSP Dissemination Workshop. December 13 December 13, 2011. • Mahbub Hossain, BRAC. FSNSP Dissemination Workshop. December 13, 2011 • John B. Mason. Keynote paper: Measuring hunger and malnutrition.FAO Symposium 2002 • IFPRI. Alive & Thrive Baseline Survey 2011. • Haider, Sanghvi et al. Alive & Thrive Formative Research on IYCF. 2009. Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 3. Session Overview • Uses of data for policy & programs – Examples • Why dietary adequacy does not always equal nutritional status – Examples Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 4. Indicators – Country Investment Plan Key Indicators Baseline (‘07-’10) Final ‘15-’16) Overall goal: % People undernourished 27 17.5 % Child stunting 43 25 % Child underweight 41 33 Outcome/impact: Food availability (food supplies) (rice supply & share) Food access (income) - Poverty rate < 2022 kcals/day 40 24 - Poverty rate < 1805 kcals/day 19.5 14 Food utilization - Minimum acceptable 42 56 complementary feeding (quantity & quality of CF 6-23 m) Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 5. Uses of data for policy & programs • How food & nutrition assessments are used: – Define trends to trigger action – Identify causes to design interventions – Monitor & evaluate effects of programs & policies • Choice of indicators & interpretation are key Example: In Bangladesh, food and poverty trends have improved. Fertility & mortality rates have declined but malnutrition is stagnant. This is triggering actions to find out the causes, evaluate past programs and strengthen nutrition interventions, e.g. CIP, NFP, POA, National Nutrition Service to evaluate their future effects Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 6. METHODS OF ASSESSING FOOD SECURITY& NUTRITION & THEIR USE Method Use Trends analysis Research into Evaluation causes (1 ) FAO: DES/CV Main use: global and Not very useful except Not very useful dietary energy supply regional level; always for broad inter-country (coefficient of variation) under-estimates trends (2) Household income Useful: national and Can be useful Useful and expenditure survey subnational level (3) Food consumption/ Useful: now available at Main use Main use the national level, thus individual intake (24- very useful, captures hour) intra-HH food distrib. (4) Anthropometry Useful at all levels, but Useful for physical Useful but should also (mother, child weight & for physical malnutrition malnutrition not food have food security height) and not food security security indicators (5) Qualitative method Useful: national and Useful Useful (food habits) subnational level
  • 7. Questions that can be addressed by different methods Method Use Trends analysis Causal analysis Evaluation (1 ) FAO: DES/CV Is the supply of food in Is the cause of food Are food supply dietary energy supply terms of calories/ insecurity & policies/programs (coefficient of variation) energy improving to undernutrition due to working? Impact of meet needs, if overall food supply? climate change/ equitably distributed? disasters on supplies? (2) Household income Are no. of food secure Is the cause of Are programs working and expenditure survey HH (in energy and problems due to low to reach the poor? nutrients) improving? expenditures on food? (3) Food consumption/ Are mothers and young Is the problem food Are programs for children consuming availability/access or women and young individual intake (24-hr) more adequate diets? dietary habits? children working? (4) Anthropometry Is nutritional status No Does the program (mother/child wt, ht) improving? improve nutrition of mothers & children? (5) Qualitative method Are food habits Are habits a barrier? Does the program (food habits, frequency) improving? improve food habits?
  • 8. How we present and interpret data makes a difference: examples Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 9. Trends in food intake (gms/capita/day) All Urban Rural 1991-92 886 938 878 1995-96 914 931 911 2005 949 952 946 2010 1000 985 1005 •Intakes improving faster in rural areas, •Averages hide disparities among economic groups Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 10. Food available in grams per head per day 1050 1000 950 All Urban 900 Rural 850 800 1991-92 1995-96 2005 2010 Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 11. Diversity: -National supplies -Household level - Child’s diet -Women’s diet Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 12. Trends in food content adequacy (gms/capita/day) Food Recom. 2005 2010 Trend Rice 390 440 416 Wheat 100 12 26 Vegetables 225 220 236 Pulses 30 14 14 Oil 20 16 21 Fish 45 42 49 Meat/eggs 34 20 25 Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 13. Content of food basket: improving diversity 500 450 400 350 Rice 300 Wheat 250 Vegetables 200 Pulses 150 100 Oil 50 Fish 0 Meat/eggs 2005 2010 Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 14. Content of food basket: gaps in diversity 500 450 400 350 Recom. 300 250 2005 200 150 2010 100 50 0 Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 15. Dietary intake assessment is key • RAP –low cost, primary method for collecting dietary data (locally available /commonly consumed foods, dietary habits, behaviour) • Household surveys – provide data on foods consumed by HH not individuals • Point to which foods are major contributors to nutrients of particular concern ( identify vulnerability/at risk of dietary deficiency - e.g lack of animal foods; no fresh vegetables/fruits, lack of DGLV/YOV–lack of vit. C & A in diet) • Food record and 24 hr recall methods of choice for estimating mean intakes; quantitative dietary intake methods to obtain individual nutrient intakes • Take measurements for each individual on at least 2 non- consecutive days to obtain intra-individual variation Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 16. Why improving food security does not necessarily remove undernutrition Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 17. A&T Baseline: Stunting is High Even in Food Secure Households Bivariate 55 53.29 50 49.88 45 46.39 47.32 47.07 44.52 40 39.28 35 PERCENT STUNTED 35.38 30 Food secure 25 Mildly food insecure 20 22.99 23.14 Moderate food insecure 19.18 Severely food insecure 15 13.88 10 5 0 Vietnam Bangladesh Ethiopia + p < 0.10, * p < 0.05, ** p < 0.01, *** p < 0.001 Module 5: Program and Policy Application, Tina Sanghvi PhD Ruel; A&T Partners' Meeting, Hanoi 9/27/2011
  • 18. Factors that determine nutritional status Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 19. Adequate Complementary Feeding 100 90 By Wealth Quintiles By Age Groups 80 70 60 58 50 47 44 48 48 40 38 38 36 30 20 16 10 0 Lowest Second Middle Fourth Highest 6-8m 9-11m 12-17m 18-23m BDHS 2007
  • 20. Quality of Children’s Diets (BDHS, 2007) Meat, Fish, Poultry and Eggs Consumed (< 24 h) 100 90 80 71 75 70 64 60 48 50 40 34 30 24 20 10 10 0 0 2 0 Age <2 m 2-3 m 4-5 m 6-7m 8-9m 10- 12- 16- 20- 24- 11m 15m 19m 23m 35m
  • 21. Why is nutrition not improving? • Knowledge: do people know what foods they should consume by age, sex, occupation, physiological status? • Do families have the resources/motivation to convert knowledge to practice • If food intakes (energy and nutrients) are adequate, could there be intervening factors e.g. illness • Pre-disposing factors: maternal undernutrition seasonal food/income shortages, migration, illness outbreaks, hygiene/sanitation, emergencies • Importance of under 2’s Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 22. Illustration of association between dietary adequacy and anthropometry Prevalence of % with % with Total under under inadequate adequate or adequate nutrition diet diet nutrition % <-2SDs 20 10 30 % > -2SDs 0 70 70 Total sample 20 80 100 Note: 10% have adequate diets but are still undernourished due to other causes Source : Mason, 2002 in “Measurement and Assessment of Food Deprivation and Undernutrition”, FAO
  • 23. New focus on under 2 yr age group • Most rapid decline in nutritional status • Damage is largely not reversible • Affects child growth + adult chronic diseases • Affects brain development/learning as well as physical development • All national nutrition indicators focus on young children, to improve MDG 1 have to prevent under 2 decline in nutrition Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 24. Goal: To reduce undernutrition, improve IYCF Maximum decline at 3 to 15 months – period of IYCF 0.5 Length-for-age Z-score EBF Complementary Feeding 0 ------- --------------------------- -0.5 Boys WHO Girls WHO Growth of girls/ boys Boys NCHS Girls NCHS NCHS/WHO standards -1 -1.5 -2 -2.5 1 3 5 7 9 11 13 15 17 19 21 23 25 Age (mo) Growth data: Kuntal K. Saha et al, Food Nutr Bull. 2009; 30: 137-44 ICDDRB Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 25. CF Provides Adequate Energy & Nutrients Energy Required & Amount From Breastmilk & CF 1000 900 800 BF + CF Calories per day 700 550 Exclusive BF 600 300 Compl. Food 500 200 400 Breastmilk 300 200 100 0 0-2 3-6 7-8 9-11 12-23 Age in months ½ Bati ½ Bati 1 Bati •At least 4 types Recommended diet: 2 times 3 times 3 times •Hygienically Daily + Daily + Daily+ prepared Module 5: Program and Policy Application, Tina Sanghvi PhD Bati = 250 ml
  • 26. Indicators – Country Investment Plan Key Indicators Baseline (‘07-’10) Final ‘15-’16) Overall goal: % People undernourished 27 17.5 % Child stunting 43 25 % Child underweight 41 33 Outcome/impact: Food availability (food supplies) (rice supply & share) Food access (income) - Poverty rate < 2022 kcals/day 40 24 - Poverty rate < 1805 kcals/day 19.5 14 Food utilization - Minimum acceptable 42 56 complementary feeding (quantity & quality of CF 6-23 m) Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 27. Minimum acceptable diet for under 2’s • 3 conditions must be met: – Breastfeeding – Meal frequency as per age (2 to 3 times plus snacks) – At least 4 different categories of food Analysis should be used to focus BCC messages, how to deal with HH food availability, mothers’ time constraints etc. Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 28. 100 Gaps in feeding 90 80 Median EBF 1.8 m 68 70 60 58 50 48 47 43 43 43 40 36 30 20 16 10 0 Breastfeeding Complementary Feeding BDHS 2007, WHO (HKI 2006) Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 29. Main messages • What is needed to ensure food security & nutrition results: – Food availability - Food access - Food utilization – Behavior change communications to promote specific dietary & health habits • Disaggregated analysis of trends, causes & evaluations to design relevant interventions • Equity: rational use of foods to reach the disadvantaged & high risk ages; targeted nutrition Module 5: Program and Policy Application, Tina Sanghvi PhD
  • 30. Conclusion • Understanding what indicators & assessment methods to use in policy & programs is key • Food & dietary adequacy (total energy & diversity) is a necessary, but not sufficient condition for good nutrition • Interpreting and presenting data in an accurate and relevant manner is essential • Assessments that do not lead to actions are meaningless Module 5: Program and Policy Application, Tina Sanghvi PhD