Tackling malnutrition in all its
forms by acting on its multiple
determinants
Purnima Menon
Mussoorie | February 13, 2019
Understanding causes of malnutrition: four
things to keep in mind!
1. Malnutrition takes many forms but the risk factors
for poor nutrition are often similar
2. Timing matters [the first 1000 days matter for
most forms of malnutrition!]
3. Multiple causal factors, and therefore,
interventions needed in multiple sectors
4. Effective convergence means “reaching every
household, every woman, every child in the first
1000 days with ALL interventions”
Scope of the challenge: India’s nutrition challenge has taken
a different shape in the last decade; despite many
improvements, the new challenge is one of variability
across India
Districts
with no
data
Districts
with
10⎼20%
Districts
with 20⎼30%
Districts
with 30⎼40%
Districts
with >40%
1 29 170 202 239
Anemia among women of reproductive age, 2016
Districts
with no
data
Districts
with
0 - <20%
Districts
with
20 -
<40%
Districts
with
40 -
<60%
Districts
with
≥60%
0 7 122 360 151
Overweight or obesity among men, 2016
Districts
with no
data
Districts
with
0 - <10%
Districts
with
10 -
<20%
Districts
with
20 -
<30%
Districts
with
≥30%
0 141 288 149 62
Stunting among children < 5 years, 2016
What forms of malnutrition are challenges in your district?
-2
-1,75
-1,5
-1,25
-1
-0,75
-0,5
-0,25
0
0,25
0,5
0,75
1
1
4
7
10
13
16
19
22
25
28
31
34
37
40
43
46
49
52
55
58
Age (months)
Z-scores(WHO)
Weight for age (WAZ)
Weight for length (WHZ)
Height for age (HAZ)
Source: Victora CG, de Onis M, Hallal PC, Blössner M, Shrimpton R.
Worldwide timing of growth faltering: revisiting implications for
interventions using the World Health Organization growth standards.
Pediatrics, 2010 (Feb 15 Epub ahead of print)
2. Timing matters (the first few years are really important)
4
Fig 3. Categories of length-for-age stratified by exact month of age and site.
MAL-ED Network Investigators (2017) Childhood stunting in relation to the pre- and postnatal environment during the first 2 years of life: The
MAL-ED longitudinal birth cohort study. PLOS Medicine 14(10): e1002408. https://doi.org/10.1371/journal.pmed.1002408
http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002408
6
Immediate causes of malnutrition
(especially for children)
Food
• Breastfeeding
• Complementary
feeding
• Limiting non-
nutritive foods
Care
• All activities that
assure that family
food, health and
other resources
reach the child
• Attention to the
child, care
arrangements
• Responsive
feeding
• Psychosocial
stimulation
Health
• Maternal health
and well-being
• Preventive and
curative health
care
• Assurance of a
healthy and clean
environment
Underlying causes of poor nutrition for children
Food-related
resources
• Household food
security
• Household food
diversity
• Healthy/unhealthy
food environment
Care-related
resources
• Support available
to parents
• Time
• Stress
• Workload
Health-related
resources
• Access to and
availability of
health care
• Access to clean
environments
Poverty, social exclusion and lack of agency and opportunity
are underpinnings of these causes
Causes of the causes!
Stunting: Factors related to gender, poverty and health services
account for much of the difference between high and low stunting
districts. Half the difference is tied to women’s wellbeing
Districts
with no
data
Districts
with
10⎼20%
Districts
with 20⎼30%
Districts
with 30⎼40%
Districts
with >40%
1 29 170 202 239
Stunting among children < 5 years, 2016
Source: P Menon, D Headey, P Nguyen, R. Avula. 2018. Understanding the
geographical burden of stunting in India: A regression‐decomposition analysis of
district‐level data from 2015–16. Maternal & Child Nutrition
Stunting differences between high and low stunting
districts
Menon et al., Maternal and Child Nutrition 2018
Anemia: Factors related to gender, poverty and health
services account for changes in anemia over time – both
for women and for children
Decomposition analysis for factors contributing
to change in hemoglobin among children and
pregnant women in India from 2006 to 2016
Source: Nguyen et al., 2018
Factors contributing to changes in anemia over time
• Changes in women’s
anemia: Schooling, diet,
socioeconomic status,
sanitation and nutrition
interventions
• Changes in children’s
anemia: maternal schooling,
SES, health and nutrition
interventions and other
factors (majority related to
maternal wellbeing)
How these determinants play out differs from place to
place: your response must tackle the most important
causes first
Indicator Nuapada (Odisha) Bongaigaon (Assam)
Outcome: Stunting 37.6% 39.1%
Immediate determinants
Women BMI<18.5 kg/m2 34% 19.2%
Exclusive breastfeeding 49.2% 68.3%
Adequate diet 2.6% 13.7%
Coverage of interventions
>=4 ANC 75.5% 24.2%
Institutional delivery 84.7% 67%
Newborn check-up 35.7% 14.2%
Full immunization 83.8% 42.4%
Underlying and basic determinants
Women literate 49.9% 71.4%
Girls married before 18 years 19.1% 42.6%
Households with an improved
drinking water source
95% 74%
Households using improved
sanitation facility
20.2% 45.9%
Open defecation 84.6% 42.2%
Households below poverty line 60.5% 31.9% Source: NFHS 4
Do a little
diagnosis for your
district!
• What does the burden of
malnutrition look like in
your district? What forms
does it take?
• What do major risk
factors/causes for
malnutrition look like in
the district?
• Start off a causal map of
the components and their
interactions – on paper
Lancet 2013 conceptual framework: linking
interventions to determinants
13
14
15
Nutrition-specific interventions:
What are they?
What’s the evidence base?
Where do they site in India’s policy response?
16
Global evidence on nutrition-specific
interventions in the first 1000 days
17
Bhutta et al. 2013
Most of these evidence-informed nutrition
interventions exist in the Indian policy framework
Preconception Pregnancy
Delivery &
Postnatal
Early
childhood
•Iron and folic acid
(IFA) supplementation
•Deworming
•Fortification (Iodized
salt)
•IFA supplementation
•Calcium
supplementation
•Food
supplementation
•Counseling on
nutrition during
pregnancy
•Counseling on EIBF
•Malaria prevention
•Deworming
•Maternity benefits
•Conditional cash
transfer
•Institutional birth
•Birth conducted by
skill health personnel
•Delayed cord
clamping
•Counseling- EIBF
•Counseling on
kangaroo mother care
•IFA supplementation
•Calcium
supplementation
•Food
supplementation
•Counseling- EBF
•Counseling-
Complementary feeding
•Immunization
•Vitamin A suppl
• IFA supplementation
•ORS with zinc during
diarrhea
•Growth monitoring
•Food supplementation
•Management of SAM
•Management of MAM
•Deworming in children
•Sanitation
90% coverage  20% reduction in stunting (Bhutta et al. 2008)
* Preventive zinc supplementation in early childhood – Not in the Indian policy framework
Birthspacing-pregnancycare
AntenatalCare
Immunization
Home Based
Newborn Care
Feeding counseling: breast feeding and complementary feeding
Birth
Institutional
Deliveries
6 weeks
Facility Based
Newborn
Care
Integrated Management of Neonatal and Childhood Illnesses
Home-based Young Child Care
(Nutrition and health counseling, early
stimulation
6
months
1
year
2
years
Swachh: Safe water, hand washing, toilet use, safe disposal of feces
Supplementary nutrition: mother >>> baby
Growth monitoring; stimulation and care of the malnourished child
HEALTH*ICDS*
Not to
scale
Pregnancy
Pre-
pregna
ncy
*predominant
role
Care for severe acute malnutrition
Program packages of
Interventions for first 1000 days:
for health, nutrition and development
19
BetiBachao,betipadhao
Adolescentcare
Iron-folic acid; Vitamin A; Deworming
All
Enablers: Pradhan Mantri Surakshit Matritva Abhiyan (PMSMA), Janani Suraksha Yojana (JSY) Pradhan Mantri Maatru Vandana Yojana (PMMVY),
Janani Shishu Suraksha Yojana (JSSY), Rashtriya Bal Suraksha Karyakram (RBSK)
Delivery platforms to help achieve scale are also
in place
Delivery platforms
• Public sector programs
• ICDS
• NHM
• Private sector providers
• Self-help groups
• Mass media
• Jan Andolan
Service providers/Events
• Anganwadi workers
• ASHAs
• ANMs
• Doctors
• Nurses
• Group facilitators
• Public service announcements
• Campaigns/Celebrations
20
And yet - coverage of interventions remains highly
variable: by life-stage, by intervention, by the delivery
channel …
21
93.3
51
77.7
30.2
83
18
75.4
40.1
52.6
35.1
43.8
81
83.3
36.7
65.1
27.1
47.8
35.137.1
62.6
59.3
26.5
32.2
79.1
50.5
20.2
51.7
42.744.6
28.55
0
10
20
30
40
50
60
70
80
90
100
PREGNANCY DELIVERY & POSTNATAL EARLY CHILDHOOD
Health
ICDS
Health
ICDS
Health
ICDS
….and among states and…
22
0
10
20
30
40
50
60
70
80
90
100
DemandforFPsatisfied
Iodizedsalt
≥4ANCvisits
Consumed100+IFAduring…
Neonataltetanusprotection
Dewormingduringpregnancy
Weighingduringpregnancy
Breastfeedingcounselingduring…
Supplementaryfood-pregnancy
Healthandnutritioneducation‐…
Healthcheckup-pregnancy
Institutionaldelivery
Skilledbirthattendant
JSY
Postnatalcareformothers
Postnatalcareforbabies
Supplementaryfood-lactation
Healthandnutritioneducation‐…
Healthcheckup-lactation
Fullimmunization
ReceivedvitaminAinthelast6…
PediatricIFA
Dewormingforchildren
Careseekingforpneumonia
ORSduringdiarrhea
Zincduringdiarrhea
Supplementaryfood-children
Healthcheckup-children
Weighing-children
Cousellingonchildgrowth
Prepregnancy Pregnancy Delivery and early postnatal Early childhood
%
Source: National Family Health Survey -4
Proportion of mothers receiving any ANC
…among the districts
23
Proportion of mothers receiving 4 or more ANC
Source: National Family Health Survey -4
Take a look
at your
district for
ANC
490 districts ≥75%
women received
any ANC
156 districts ≥75%
women received 4
or more ANC
24
Proportion of women who received food
supplements during their pregnancy
Proportion of children (6-35 mo) who received
food supplements
172 districts ≥75%
children received
food supplements
An example of coverage variability – Food
supplementation
Source: National Family Health Survey -4
144 districts - ≥75%
women who received
food supplements
during pregnancy
Take a look at
your district for
food
supplementation
coverage
Exercise time!
• 5 mins (individual exercise)
• Take a look at your state coverage
note and focus on the district
dashboard
• Which interventions are
consistently high?
• Which ones are low for all
districts?
• 5 mins - table buzz – what are you
finding
• As you think forward to your district
action plans – think of how you will
achieve C2IQ
• Coverage
• Consistency
• Intensity
• Quality
Nutrition-sensitive interventions
What are they?
What is India’s policy landscape?
What opportunities exist to strengthen them?
Many underlying determinants contribute to difference in stunting
between very high‐burden & low-burden districts, 2016
Source: Understanding the geographical burden of stunting in India: A regression‐decomposition analysis of district‐level data from
2015–16; Authors: Purnima Menon, Derek Headey, Rasmi Avula, and Phuong Hong Nguyen
Lancet 2013 conceptual framework
28
How to think about maximizing nutrition
sensitivity of other sectors
Three ways that programs in other sectors
can have a greater impact on nutrition, i.e. be
more ‘nutrition-sensitive’.
1. addressing the underlying determinants of
fetal and childhood nutrition and
development
2. incorporate specific nutrition goals and
actions
3. serve as delivery platforms for nutrition-
specific interventions
Ruel, Marie T., and Harold Alderman. "Nutrition-sensitive interventions and programmes: how can they help to
accelerate progress in improving maternal and child nutrition?." The Lancet (2013).g
Agriculture and food
systems
Social protection
Sanitation
Gender
Beyond agriculture, to food systems for better nutrition
Global Panel Foresight Report 2016
30
Social safety net programs and
nutrition: mixed evidence
31
Lack of impact due to:
• Short duration of transfers
• Lack of linkages to nutrition
interventions
• Poor quality of health and
nutrition services
• Lack of consideration of
caregivers’ time constraints
Ruel & Alderman 2013; Alderman
2014
Pathways for nutrition-
sensitive social protection:
1) Increasing incomes through
cash
2) Providing subsidies and price
supports
3) Addressing preferences and
behaviours
Alderman 2015
What is the current state of evidence in India?
Approach one Approach two Approach three
Address the
underlying
determinants
Incorporate specific
nutrition goals and
actions
Delivery platforms
for nutrition-
specific
interventions
| | |
Public distribution
system (PDS)
___
Strong
(numerous
studies)
Weak
(7 studies)
None
| | |
Mid-day meal
scheme (MDMS)
___
Weak
(4 studies)
Weak
(6 studies)
Weak
(1 study)
| | |
Mahatma Gandhi
national rural
employment
guarantee scheme
(act) (MGNREGA)
___
Weak
(7 studies)
None None
Raghunathan et al. Economic and Political Weekly, 2017
Stopping transmission of fecal matter into the mouths
of human beings is the primary goal of WASH
interventions! FIVE F’s
Source: Perez et al., 2012
33
Recent evidence on WASH
intervention impact on
malnutrition NOT promising
• 3 large randomized controlled trials
published in 2018/19
• Combinations of nutritional
supplements, behaviour change
communication and WASH (pit
latrines, Tippy taps, promotion)
• None of the trials found an ADDED
benefit of the WASH interventions for
child growth over the nutritional
supplement and behaviour change
• Stunting/growth retardation
remained high
• Requires re-thinking WASH solutions!
34
Gender & patriarchy are major contributors to
malnutrition in India (recognized in 1996!) and how
girls and women are invested in and supported
throughout their lives.
35
Girls
• Education
• Age at marriage
• Nutrition
Women
• Health
• Nutrition
• Economic
opportunities
Pregnant
women/mothers
• Care during and
after pregnancy
• Support
Underweight women in India vs. Sub Saharan Africa
36
Coffey, PNAS 2015
INDIA
SUB-SAHARAN AFRICA
The challenge for multisectoral action is to bring
sectoral interventions together for effective
convergence on the household, woman, child)
Basic
causes/enabling
environment
•Leadership
•Commitment
•Financing
•Knowledge
systems/learning
Underlying causes
•Economic
growth/jobs
•PDS
•Livelihoods programs
•Sanitation mission
•Gender/women’s
programs
•Girls education/MDM
Immediate causes
•Health
•ICDS
•SHGs
•Media
Effective convergence:
reaching all households,
all women, all children
with all interventions
during the entire 1000-
day window
• Data from a cross-sectional
survey of 1644 mothers with
children 6-24 months of age in
5 states, IFPRI WINGS study
2017
Nutrition-sensitiveNutrition-specific
0
10
20
30
40
50
60
70
80
90
100
1
≥4ANC Received MCP card
Received IFA tablets /syrup Food supplementation (preg)
Institutional birth Visited by health worker within 2 days of delivery
Food supplementation (lactation) Vitamin A (in the last 6 months)
Paediatric IFA (in the last 6 months) Deworming (in the last 6 months)
Food supplementation (child) Weighing (in the last 3 months)
JSY-enrolled PDS - has ration card
MNREGA - has job card SHG member
Drinking water safe Aware of Swachh Bharat
HH has an improved toilet facility
What do you think effective convergence looks
like for these people?
100%
• Received at least ONE intervention of the 19 interventions
• 12.6 on average, range 4 to 19
1.9%
• Received ALL 13 nutrition-specific interventions
• Average number of nutrition-specific interventions = 8.8
6.9%
• Received ALL 6 nutrition-sensitive interventions
• Average number of nutrition-specific interventions = 3.9
2 households
out of ~ 1600
got all 19
interventions
Data from a cross-sectional survey of 1644 mothers
with children 6-24 months of age in 5 states, IFPRI
WINGS study 2017
Let’s discuss how to make convergence of
interventions happen?
• How can YOU know the extent
of effective convergence in your
geographic areas?
• What can do you to focus on
effective convergence?
SUMMARY
 Malnutrition burden in India remains high despite some progress, with
tremendous inter-state and inter-district variability and multiple drivers of
disparity
 Stunting differences are not explained by any single factor, but rather
by a multitude of economic, health, hygiene and demographic factors.
 Many success stories across India! Several states (Chhattisgarh,
Arunachal Pradesh, Gujarat) are among high performers on stunting
reduction
 Multiple forms of malnutrition – with several common drivers – health,
food and physical environments
Children < 5 years of age
• Stunting: child <5 years of age is too short for their age—a result of chronic undernutrition (more than 2
standard deviations below median in a healthy population)
• Wasting: child <5 years of age has weight too low for their height—a result of acute undernutrition (more than 2
standard deviations below median in a healthy population)
• Underweight: child <5 years of age has weight too low for their age—from either chronic or acute undernutrition
(more than 2 standard deviations below median in a healthy population)
• Overweight: child < 5 years of age has weight too high for height (more than 2 standard deviations above median
in a healthy population)
The ways malnutrition is most frequently referred to
in major reports
42
Stunting: an index of child growth based on attained height for age
Wasting: an index of child growth based on weight proportional to
height
43
38.4% children (<5y)
in India are stunted
21 % of children
(<5y) in India are
wasted

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day 1 session 1 causes and interventions

  • 1. Tackling malnutrition in all its forms by acting on its multiple determinants Purnima Menon Mussoorie | February 13, 2019
  • 2. Understanding causes of malnutrition: four things to keep in mind! 1. Malnutrition takes many forms but the risk factors for poor nutrition are often similar 2. Timing matters [the first 1000 days matter for most forms of malnutrition!] 3. Multiple causal factors, and therefore, interventions needed in multiple sectors 4. Effective convergence means “reaching every household, every woman, every child in the first 1000 days with ALL interventions”
  • 3. Scope of the challenge: India’s nutrition challenge has taken a different shape in the last decade; despite many improvements, the new challenge is one of variability across India Districts with no data Districts with 10⎼20% Districts with 20⎼30% Districts with 30⎼40% Districts with >40% 1 29 170 202 239 Anemia among women of reproductive age, 2016 Districts with no data Districts with 0 - <20% Districts with 20 - <40% Districts with 40 - <60% Districts with ≥60% 0 7 122 360 151 Overweight or obesity among men, 2016 Districts with no data Districts with 0 - <10% Districts with 10 - <20% Districts with 20 - <30% Districts with ≥30% 0 141 288 149 62 Stunting among children < 5 years, 2016 What forms of malnutrition are challenges in your district?
  • 4. -2 -1,75 -1,5 -1,25 -1 -0,75 -0,5 -0,25 0 0,25 0,5 0,75 1 1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 Age (months) Z-scores(WHO) Weight for age (WAZ) Weight for length (WHZ) Height for age (HAZ) Source: Victora CG, de Onis M, Hallal PC, Blössner M, Shrimpton R. Worldwide timing of growth faltering: revisiting implications for interventions using the World Health Organization growth standards. Pediatrics, 2010 (Feb 15 Epub ahead of print) 2. Timing matters (the first few years are really important) 4
  • 5. Fig 3. Categories of length-for-age stratified by exact month of age and site. MAL-ED Network Investigators (2017) Childhood stunting in relation to the pre- and postnatal environment during the first 2 years of life: The MAL-ED longitudinal birth cohort study. PLOS Medicine 14(10): e1002408. https://doi.org/10.1371/journal.pmed.1002408 http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002408
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  • 7. Immediate causes of malnutrition (especially for children) Food • Breastfeeding • Complementary feeding • Limiting non- nutritive foods Care • All activities that assure that family food, health and other resources reach the child • Attention to the child, care arrangements • Responsive feeding • Psychosocial stimulation Health • Maternal health and well-being • Preventive and curative health care • Assurance of a healthy and clean environment
  • 8. Underlying causes of poor nutrition for children Food-related resources • Household food security • Household food diversity • Healthy/unhealthy food environment Care-related resources • Support available to parents • Time • Stress • Workload Health-related resources • Access to and availability of health care • Access to clean environments Poverty, social exclusion and lack of agency and opportunity are underpinnings of these causes Causes of the causes!
  • 9. Stunting: Factors related to gender, poverty and health services account for much of the difference between high and low stunting districts. Half the difference is tied to women’s wellbeing Districts with no data Districts with 10⎼20% Districts with 20⎼30% Districts with 30⎼40% Districts with >40% 1 29 170 202 239 Stunting among children < 5 years, 2016 Source: P Menon, D Headey, P Nguyen, R. Avula. 2018. Understanding the geographical burden of stunting in India: A regression‐decomposition analysis of district‐level data from 2015–16. Maternal & Child Nutrition Stunting differences between high and low stunting districts Menon et al., Maternal and Child Nutrition 2018
  • 10. Anemia: Factors related to gender, poverty and health services account for changes in anemia over time – both for women and for children Decomposition analysis for factors contributing to change in hemoglobin among children and pregnant women in India from 2006 to 2016 Source: Nguyen et al., 2018 Factors contributing to changes in anemia over time • Changes in women’s anemia: Schooling, diet, socioeconomic status, sanitation and nutrition interventions • Changes in children’s anemia: maternal schooling, SES, health and nutrition interventions and other factors (majority related to maternal wellbeing)
  • 11. How these determinants play out differs from place to place: your response must tackle the most important causes first Indicator Nuapada (Odisha) Bongaigaon (Assam) Outcome: Stunting 37.6% 39.1% Immediate determinants Women BMI<18.5 kg/m2 34% 19.2% Exclusive breastfeeding 49.2% 68.3% Adequate diet 2.6% 13.7% Coverage of interventions >=4 ANC 75.5% 24.2% Institutional delivery 84.7% 67% Newborn check-up 35.7% 14.2% Full immunization 83.8% 42.4% Underlying and basic determinants Women literate 49.9% 71.4% Girls married before 18 years 19.1% 42.6% Households with an improved drinking water source 95% 74% Households using improved sanitation facility 20.2% 45.9% Open defecation 84.6% 42.2% Households below poverty line 60.5% 31.9% Source: NFHS 4
  • 12. Do a little diagnosis for your district! • What does the burden of malnutrition look like in your district? What forms does it take? • What do major risk factors/causes for malnutrition look like in the district? • Start off a causal map of the components and their interactions – on paper
  • 13. Lancet 2013 conceptual framework: linking interventions to determinants 13
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  • 16. Nutrition-specific interventions: What are they? What’s the evidence base? Where do they site in India’s policy response? 16
  • 17. Global evidence on nutrition-specific interventions in the first 1000 days 17 Bhutta et al. 2013
  • 18. Most of these evidence-informed nutrition interventions exist in the Indian policy framework Preconception Pregnancy Delivery & Postnatal Early childhood •Iron and folic acid (IFA) supplementation •Deworming •Fortification (Iodized salt) •IFA supplementation •Calcium supplementation •Food supplementation •Counseling on nutrition during pregnancy •Counseling on EIBF •Malaria prevention •Deworming •Maternity benefits •Conditional cash transfer •Institutional birth •Birth conducted by skill health personnel •Delayed cord clamping •Counseling- EIBF •Counseling on kangaroo mother care •IFA supplementation •Calcium supplementation •Food supplementation •Counseling- EBF •Counseling- Complementary feeding •Immunization •Vitamin A suppl • IFA supplementation •ORS with zinc during diarrhea •Growth monitoring •Food supplementation •Management of SAM •Management of MAM •Deworming in children •Sanitation 90% coverage  20% reduction in stunting (Bhutta et al. 2008) * Preventive zinc supplementation in early childhood – Not in the Indian policy framework
  • 19. Birthspacing-pregnancycare AntenatalCare Immunization Home Based Newborn Care Feeding counseling: breast feeding and complementary feeding Birth Institutional Deliveries 6 weeks Facility Based Newborn Care Integrated Management of Neonatal and Childhood Illnesses Home-based Young Child Care (Nutrition and health counseling, early stimulation 6 months 1 year 2 years Swachh: Safe water, hand washing, toilet use, safe disposal of feces Supplementary nutrition: mother >>> baby Growth monitoring; stimulation and care of the malnourished child HEALTH*ICDS* Not to scale Pregnancy Pre- pregna ncy *predominant role Care for severe acute malnutrition Program packages of Interventions for first 1000 days: for health, nutrition and development 19 BetiBachao,betipadhao Adolescentcare Iron-folic acid; Vitamin A; Deworming All Enablers: Pradhan Mantri Surakshit Matritva Abhiyan (PMSMA), Janani Suraksha Yojana (JSY) Pradhan Mantri Maatru Vandana Yojana (PMMVY), Janani Shishu Suraksha Yojana (JSSY), Rashtriya Bal Suraksha Karyakram (RBSK)
  • 20. Delivery platforms to help achieve scale are also in place Delivery platforms • Public sector programs • ICDS • NHM • Private sector providers • Self-help groups • Mass media • Jan Andolan Service providers/Events • Anganwadi workers • ASHAs • ANMs • Doctors • Nurses • Group facilitators • Public service announcements • Campaigns/Celebrations 20
  • 21. And yet - coverage of interventions remains highly variable: by life-stage, by intervention, by the delivery channel … 21 93.3 51 77.7 30.2 83 18 75.4 40.1 52.6 35.1 43.8 81 83.3 36.7 65.1 27.1 47.8 35.137.1 62.6 59.3 26.5 32.2 79.1 50.5 20.2 51.7 42.744.6 28.55 0 10 20 30 40 50 60 70 80 90 100 PREGNANCY DELIVERY & POSTNATAL EARLY CHILDHOOD Health ICDS Health ICDS Health ICDS
  • 22. ….and among states and… 22 0 10 20 30 40 50 60 70 80 90 100 DemandforFPsatisfied Iodizedsalt ≥4ANCvisits Consumed100+IFAduring… Neonataltetanusprotection Dewormingduringpregnancy Weighingduringpregnancy Breastfeedingcounselingduring… Supplementaryfood-pregnancy Healthandnutritioneducation‐… Healthcheckup-pregnancy Institutionaldelivery Skilledbirthattendant JSY Postnatalcareformothers Postnatalcareforbabies Supplementaryfood-lactation Healthandnutritioneducation‐… Healthcheckup-lactation Fullimmunization ReceivedvitaminAinthelast6… PediatricIFA Dewormingforchildren Careseekingforpneumonia ORSduringdiarrhea Zincduringdiarrhea Supplementaryfood-children Healthcheckup-children Weighing-children Cousellingonchildgrowth Prepregnancy Pregnancy Delivery and early postnatal Early childhood % Source: National Family Health Survey -4
  • 23. Proportion of mothers receiving any ANC …among the districts 23 Proportion of mothers receiving 4 or more ANC Source: National Family Health Survey -4 Take a look at your district for ANC 490 districts ≥75% women received any ANC 156 districts ≥75% women received 4 or more ANC
  • 24. 24 Proportion of women who received food supplements during their pregnancy Proportion of children (6-35 mo) who received food supplements 172 districts ≥75% children received food supplements An example of coverage variability – Food supplementation Source: National Family Health Survey -4 144 districts - ≥75% women who received food supplements during pregnancy Take a look at your district for food supplementation coverage
  • 25. Exercise time! • 5 mins (individual exercise) • Take a look at your state coverage note and focus on the district dashboard • Which interventions are consistently high? • Which ones are low for all districts? • 5 mins - table buzz – what are you finding • As you think forward to your district action plans – think of how you will achieve C2IQ • Coverage • Consistency • Intensity • Quality
  • 26. Nutrition-sensitive interventions What are they? What is India’s policy landscape? What opportunities exist to strengthen them?
  • 27. Many underlying determinants contribute to difference in stunting between very high‐burden & low-burden districts, 2016 Source: Understanding the geographical burden of stunting in India: A regression‐decomposition analysis of district‐level data from 2015–16; Authors: Purnima Menon, Derek Headey, Rasmi Avula, and Phuong Hong Nguyen
  • 28. Lancet 2013 conceptual framework 28
  • 29. How to think about maximizing nutrition sensitivity of other sectors Three ways that programs in other sectors can have a greater impact on nutrition, i.e. be more ‘nutrition-sensitive’. 1. addressing the underlying determinants of fetal and childhood nutrition and development 2. incorporate specific nutrition goals and actions 3. serve as delivery platforms for nutrition- specific interventions Ruel, Marie T., and Harold Alderman. "Nutrition-sensitive interventions and programmes: how can they help to accelerate progress in improving maternal and child nutrition?." The Lancet (2013).g Agriculture and food systems Social protection Sanitation Gender
  • 30. Beyond agriculture, to food systems for better nutrition Global Panel Foresight Report 2016 30
  • 31. Social safety net programs and nutrition: mixed evidence 31 Lack of impact due to: • Short duration of transfers • Lack of linkages to nutrition interventions • Poor quality of health and nutrition services • Lack of consideration of caregivers’ time constraints Ruel & Alderman 2013; Alderman 2014 Pathways for nutrition- sensitive social protection: 1) Increasing incomes through cash 2) Providing subsidies and price supports 3) Addressing preferences and behaviours Alderman 2015
  • 32. What is the current state of evidence in India? Approach one Approach two Approach three Address the underlying determinants Incorporate specific nutrition goals and actions Delivery platforms for nutrition- specific interventions | | | Public distribution system (PDS) ___ Strong (numerous studies) Weak (7 studies) None | | | Mid-day meal scheme (MDMS) ___ Weak (4 studies) Weak (6 studies) Weak (1 study) | | | Mahatma Gandhi national rural employment guarantee scheme (act) (MGNREGA) ___ Weak (7 studies) None None Raghunathan et al. Economic and Political Weekly, 2017
  • 33. Stopping transmission of fecal matter into the mouths of human beings is the primary goal of WASH interventions! FIVE F’s Source: Perez et al., 2012 33
  • 34. Recent evidence on WASH intervention impact on malnutrition NOT promising • 3 large randomized controlled trials published in 2018/19 • Combinations of nutritional supplements, behaviour change communication and WASH (pit latrines, Tippy taps, promotion) • None of the trials found an ADDED benefit of the WASH interventions for child growth over the nutritional supplement and behaviour change • Stunting/growth retardation remained high • Requires re-thinking WASH solutions! 34
  • 35. Gender & patriarchy are major contributors to malnutrition in India (recognized in 1996!) and how girls and women are invested in and supported throughout their lives. 35 Girls • Education • Age at marriage • Nutrition Women • Health • Nutrition • Economic opportunities Pregnant women/mothers • Care during and after pregnancy • Support
  • 36. Underweight women in India vs. Sub Saharan Africa 36 Coffey, PNAS 2015 INDIA SUB-SAHARAN AFRICA
  • 37. The challenge for multisectoral action is to bring sectoral interventions together for effective convergence on the household, woman, child) Basic causes/enabling environment •Leadership •Commitment •Financing •Knowledge systems/learning Underlying causes •Economic growth/jobs •PDS •Livelihoods programs •Sanitation mission •Gender/women’s programs •Girls education/MDM Immediate causes •Health •ICDS •SHGs •Media
  • 38. Effective convergence: reaching all households, all women, all children with all interventions during the entire 1000- day window • Data from a cross-sectional survey of 1644 mothers with children 6-24 months of age in 5 states, IFPRI WINGS study 2017 Nutrition-sensitiveNutrition-specific 0 10 20 30 40 50 60 70 80 90 100 1 ≥4ANC Received MCP card Received IFA tablets /syrup Food supplementation (preg) Institutional birth Visited by health worker within 2 days of delivery Food supplementation (lactation) Vitamin A (in the last 6 months) Paediatric IFA (in the last 6 months) Deworming (in the last 6 months) Food supplementation (child) Weighing (in the last 3 months) JSY-enrolled PDS - has ration card MNREGA - has job card SHG member Drinking water safe Aware of Swachh Bharat HH has an improved toilet facility
  • 39. What do you think effective convergence looks like for these people? 100% • Received at least ONE intervention of the 19 interventions • 12.6 on average, range 4 to 19 1.9% • Received ALL 13 nutrition-specific interventions • Average number of nutrition-specific interventions = 8.8 6.9% • Received ALL 6 nutrition-sensitive interventions • Average number of nutrition-specific interventions = 3.9 2 households out of ~ 1600 got all 19 interventions Data from a cross-sectional survey of 1644 mothers with children 6-24 months of age in 5 states, IFPRI WINGS study 2017
  • 40. Let’s discuss how to make convergence of interventions happen? • How can YOU know the extent of effective convergence in your geographic areas? • What can do you to focus on effective convergence?
  • 41. SUMMARY  Malnutrition burden in India remains high despite some progress, with tremendous inter-state and inter-district variability and multiple drivers of disparity  Stunting differences are not explained by any single factor, but rather by a multitude of economic, health, hygiene and demographic factors.  Many success stories across India! Several states (Chhattisgarh, Arunachal Pradesh, Gujarat) are among high performers on stunting reduction  Multiple forms of malnutrition – with several common drivers – health, food and physical environments
  • 42. Children < 5 years of age • Stunting: child <5 years of age is too short for their age—a result of chronic undernutrition (more than 2 standard deviations below median in a healthy population) • Wasting: child <5 years of age has weight too low for their height—a result of acute undernutrition (more than 2 standard deviations below median in a healthy population) • Underweight: child <5 years of age has weight too low for their age—from either chronic or acute undernutrition (more than 2 standard deviations below median in a healthy population) • Overweight: child < 5 years of age has weight too high for height (more than 2 standard deviations above median in a healthy population) The ways malnutrition is most frequently referred to in major reports 42
  • 43. Stunting: an index of child growth based on attained height for age Wasting: an index of child growth based on weight proportional to height 43 38.4% children (<5y) in India are stunted 21 % of children (<5y) in India are wasted

Editor's Notes

  • #2: Delhi pollution
  • #19: -Product-based interventions -Information-based interventions -Incentive-based interventions
  • #20: Earlier I had shown a slide on the interventions in the Indian Policy Framework. These are the interventions featuring the package of interventions in the first 1000 days under the POSHAN Abhiyaan. So there are no new nutrition-specific interventions.
  • #21: -Delivery platforms are key to achieving scale. In India what are the delivery platforms that we have: These could be public sector programs or private sector providesr. It could be through the SHGs, mass media or Jan Andolans.
  • #22: Coverage of our nutrition-specific interventions remains variable- A cursory look at the graph makes this quite evident. Not all the bars are at the same level nor are they touching the 100% mark Zooming in a bit, le us look athe graph by the life-stage. We have divided the graph by three life stages. In pregnancy, the coverage ranges from 18-83%.
  • #23: - >4ANC - Range:12% (Bihar)to 90% (Kerala)
  • #34: F-diagramme highlights pathways of transmission of faecal pathogens from the environment to humans
  • #40: Variable Proportion of respondents who recd … N Mean no. of interventions recd Std Dev Min Max Received/Covered by atleast one of the 19 intervention 100.00 1114 - - - - Received/Covered by all the 19 interventions 0.18 1114 12.75 2.62 4 19 Received/Covered by all the 13 nutrition specific interventions 1.89 1114 8.84 2.07 2 13 Received/Covered by all the 6 nutrition sensitive interventions 6.91 1114 3.91 1.17 0 6