The 3rd Intl. Workshop on NL-based Software Engineering
Impact of Food Security Interventions and Nutrition Education on Child Dietary Diversity
1. Impact of Food Security Interventions
& Nutrition Education on Child Dietary
Diversity
Results from 3 Cross-sectional Surveys
The IMCF Team
at the 2nd ECAMA Symposium
Malawi Institute of Management
Lilongwe
04 June 2015
3. Background – as of 2011
Inappropriate feeding practices during the complementary feeding
period contribute to inadequate nutrient intake among infants &
young children
Even when food resources are available in the home, caregivers are
not able to make the best use of them:
Inadequate knowledge
Unhealthy beliefs & practices
Inappropriate advice
Need for interventions to improve quality of complementary foods by
promoting consumption of a variety of foods, including local foods
Lack of evidence! 3
4. IFSN Project
To improve food security & nutrition:
• Support to joint nutrition education between Agriculture and Health
for increased impact of knowledge and skills on: production,
processing, storage and utilization including improved
complementary feeding practices
• Distribution of a range of agricultural inputs to vulnerable
households including those with young children and pregnant
women
• Increased diversification of local production to include different
livestock and nutritious food crops covering the six food groups
5. Key Activities
5
Promote diversified agriculture to improve availability,
access and utilization of all six food groups
Capacity building of farmers, lead farmers, frontline staff
Promote income generating activities: fruit trees, apiary,
mushrooms, vegetables, cassava, Irish potatoes, orange-
fleshed sweet potatoes
Promotion of environment, soil & water conservation
Improve water & sanitation
Promotion of small scale irrigation-gravity fed, treadle
pumps, residual moisture
6. Objectives of the Research Project …
… was to test the following hypotheses:
1. TIPs formative research generates behaviour
change communication messages & nutritionally
improved recipes that lead to lasting improvements in
complementary feeding practices, dietary intakes &
child nutritional status
2. Locally available & affordable foods can provide a
significant contribution to the nutritional requirements of
children 6-23 months
6
7. 3. Nutrition education with focus on IYCF & linked with
a food security intervention can improve child
feeding practices & nutritional status, &
4. Using locally available foods for improving
complementary feeding practices & children’s nutrition
status is a sustainable strategy, which can be
replicated by households at low cost & taken to scale
using available Government services.
7
Objectives of the Research Project …
8. Cross-sectional nutrition baseline survey in households
with children below 2 years (Aug 11; n=1041)
Restricted randomization of intervention & control villages
(mean height-for-age Z-score)
Nutrition Education on
complementary feeding
(Dec 12 – Jan 14)
Intervention area
(12 clusters)
Cross sectional mid-term survey (Aug 13; n=921)
Food security interventions (Oct 11- Sep 12)
e.g. farmer field schools,
seed & fertilizer distribution,
distribution of fruit seedlings, livestock
Foodsecurity
interventions
1year
NEingroup1
&1monthsin
group2;NE
max9months
Control area
(12 clusters)
Cross sectional impact survey (Aug 14; n=1221)
Longi-
tudinal
study
(n=124)
Focus
Group
discus-
sions,
know-
ledge
tests,
obser-
vations
8
9. 9
Primary outcome indicator:
change in length of children
Secondary outcome indicators:
achieved Minimum Dietary Diversity (MDD) among children
achieved Minimum Meal Frequency (MMF) among children
improved caregiver’s knowledge, attitudes & feeding, hygiene & food
safety practices
Enrolment criteria:
Caregivers with children 6-9 months at first assessment
Intervention area: member of FAO nutrition education group
Control area: resident in FAO intervention villages; matched by sex &
age in days (±14 days)
Assessments: every 3 months for one year = five assessments
Study Design
10. Cross-sectional Surveys
Baseline, Mid-term, & Impact
• Cross-sectional nutrition surveys in 24 EPA sections
in Kasungu & Mzimba Districts
• Study population: mothers/primary caregivers and
children <2 years
• Random selection of 3 villages on section (cluster)
level (PPS) (baseline and mid-term)
• Random selection of 4 villages per section (PPS)
(impact)
• Random selection of participants at village level
10
11. • Baseline: August/September 2011 (sample size: height-for-
age z-score)
– IFSN intervention villages
• Mid-term: August/September 2013 (sample size: children’s
dietary diversity)
– Intervention area: nutrition education villages only (Round 1)
– Control area: food security intervention villages only
• Impact: August/September 2014 (sample size: height-for-
age z-score)
– Intervention area: nutrition education villages only
(Round 1, same as in mid-term + 1 additional per section)
– Control area: food security intervention villages only
11
Cross-sectional Surveys
Baseline, Mid-term, & Impact
12. Study Population at Baseline, Mid-term, & Impact
Baseline (N=1041)
Aug/Sept 2011
Midterm (N=921)
Aug/Sept 2013
Impact (N=1221)
Aug/Sept 2014
Main characteristics Int. Cont. Int. Cont. Int. Cont.
Percentage (%)
Main income source = farming 73 78 77 81 68 77
Improved drinking water source 77 76 86 83 86 83
Improved sanitation facility 27 31 59 59 50 42
Mean (SD)
HFIAS Score (min-max= 0 – 27) 6.9 ± 6.6 8.8 ± 6.9 4.4 ± 5.9 5.7 ± 6.5
Wealth index (min-max = -6.1 – 13.5) 0.4 ± 3.7 -0.1 ± 3.4 0.1 ± 3.7 -0.5 ± 3.4 0.2 ± 3.7 -0.1 ± 3.9
Years of school education of mother 5.6 ± 3.2 5.2 ± 3.1 6.3 ± 3.1 6.5 ± 2.9 7.0 ± 2.6 6.7 ± 2.9
Int.=Intervention area = food security intervention and nutrition education; Cont.=Control area = food security intervention only
12
Access to improved water & sanitation facilities
increased over time
Food security situation improved over time, was
higher in intervention area
Average years of schooling increased over time
13. WHO IYCF Indicators at
Baseline, Mid-term, & Impact
% children 6 to < 24
months receiving …
Baseline
Aug/Sep 2011
(n = 832 )
Midterm
Aug/Sep 2013
(n = 780 )
Impact
Aug/Sep 2014
(n = 977)
Int. Cont. Int. Cont. Int. Cont.
Breast milk 96 93 97 98 96 95
Minimum dietary diversity 63 56 71 49 71 55
Minimum meal frequency 89 80 85 79 91 81
Minimum acceptable diet 58 48 63 43 67 48
Standardised WHO indicators (WHO 2011)
Int.= intervention area = food security and nutrition education
Cont. = control area = food security only
13
17. Children Consuming ASF & Legumes a
Day Before the Survey
0%
20%
40%
60%
80%
Intervention Control Intervention Control Intervention Control
Baseline Midterm Impact
Animal source foods (ASF) Legumes 17
18. P=0.001
ASF Consumption – DiD Model
12%
13%
16%
6%
Intervention
Control
Baseline Impact
Covariates: age of child, maternal education, wealth
Estimatedprevalence
ofASFandegg
consumption
45% 45%
52%
39%
All ASF
Eggs
P=0.005
19. Legumes Consumption – DiD Model
67%
59%
76%
62%
Baseline Impact
Covariates: age of child, maternal education, wealth
Estimatedprevalence
oflegumes
consumption
P=ns
Intervention
Control
20. Mean (SD) height for age z-score
(6-23 months old children, IMCF research area)
20
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
0
control intervention control intervention control intervention
Baseline 08/2011 Mid-term 08/2013 Impact 08/2014
Meanheightforagez-score(HAZ)
21. Impact on Height-for-age Z-score (DiD)
Midterm Survey & Impact Survey
21
• Midterm Survey: Sign. differences in mean
HAZ between intervention (-0.17) & control (-
0.19) which can be related to the intervention:
food security & nutrition education
• Impact Survey: No sign. differences in mean
HAZ between intervention (-0.17) & control (-
0.18)
22. Conclusions
• Food security interventions & participatory
nutrition education improved children’s
nutritional status at community level
• IFSN nutrition education approach using
local resources has a high potential to
improve dietary diversity of children
22
23. IMCF Project Team
Malawi Cambodia
Food security Project IFSN MALIS
Research Institutions Lilongwe University of
Agriculture and Natural
Resources (LUANAR):
Dr C Masangano
Dr B Mtimuni
Dr A Kalimbira
Dr C Nthinda
Mahidol University & NNP
Cambodia:
Dr O Kevanna
Dr P Winichagoon
Dr G Charoonruk
Dr K Sranacharoenpong
Students Ms J Kuchenbecker
Ms G Chiutsi Phiri
et al.
Ms A Reinbott
Mr M Khun
et al.
FAO Headquarters Rome,
Italy
Ms E Muehlhoff, Dr E Westaway,
Ms T. Jeremias, Ms Graz, and
until August 2013: Dr Gina Kennedy
JLU Giessen, Germany Prof. MB Krawinkel, MD, Dr I Jordan,
Dr J Herrmann, Dr E Heil
23
24. Registration & Funding
German Clinical Trial Register (DRKS)
https://drks-neu.uniklinik-freiburg.de/drks_web/setLocale_EN.do
The research was conducted within the IMCF Project of
FAO:
http://www.fao.org/ag/humannutrition/nutritioneducation/70106/en/
24
Editor's Notes
Cluster = Section
2 stage sampeling: 1. village, then participants
Research study area = area wich was targeted by IFSN in the first year of project intervention (Round 1)
Assuming that changes in dietary diversity could already be observed after a relatively short intervention period, sample size was calculated on CDDS rather than on HAZ
Midterm and Impact: Selected participants were households with children under two regardless wether they were direct beneficiaries of any IFSN intervention
throughout all surveys, majority of enrolled hh were farming hh
Access to improved water as well as improved sanitation facilities increased over time
Household food security was measured at midterm and impact survey based on FAO Household foodinsecurity access scale and showed that food security improved between 2013 and 2014 and food security was higher in the intervention area
The difference in wealth-status between the goups was significant at baseline.
Education improved over time, reaching higher mean years of schooling
The following WHO IYCF indicators were assessed at baseline, mid-term and impact:
Breastfeeding status, MDD based on 7 food group score, MMF and MAD
During the last 3 years, breastfeeding remaind high with close to 100% of the enrolled children being breastfed
DD increased within the intervention area from 63-71%
DD did not improve in the control area
Meal frequency remaind stable
Therefor, the combined indicator minimum acceptable diet improved in the interevention area only.
These obeservations we followed up in a DiD model comparing Baseline and Impact Survey data.
We used a difference-in-differences (DiD) analysis was used to identify changes in outcomes associated with the spread of the programme across the intervention area.
The DID design is based on comparing two different groups.
CDDS based on 7 food group score improved in the intervention area. Reaching an estimated mean of 4 at Impact while CDDS decreased in the control group. Resulting in a significant Intervention Effect
Important changes in dietary diversity were observed in the consumption of ASF and legumes, both food groups being promoted in the NE.
Y-axis: shows prevalence of children consuming ASF and legumes
X-axis: shows the three surveys, stratified by intervention and control
In the intervention group, there is an increase of ASF-consumption to over 50% B – M, which remains stable at this level in Impact survey
Control: ASF decresd to Midterm and reached baseline level at Impact
Intervention: consumption of legumes increased to around 80% B – M and remained stable at that level in Impact
Control: Legume consumption slowly increased, but did not meet the consumption levels of the intervention group.
In conclusion: gelber Kasten
Again we followed up these observations using DiD models comparing Baseline and Impact Survey data. At Baseline estimated prevalence of ASF consumption was 45% in both groups. To Impact, the control dropped to 39% while the intervention group improved to 52%, which is a significant intervention effect of 13%.
This effect can mostly be attributed to increased consumption of eggs rather than changes in the consumption of flesh foods or dairy.
Regarding the consumption of legumes the DiD model shows an improvement in both groups from BL to IS, with a relatively small intervention effect which is not significant.
Mean hight for age z-scores of children 6-23months of age were not different in intervention and control at baseline
Negative-Axis: meanining the longer the colum, the more children are stunted
At mid term we observed changes in mean HAZ: it decreased in the control and increased in the intervention group. At impact mean HAZ had slighty increased in the control and decresed in the intervention area.
Based on a DID analysis: we observed significant differences.....
Research team: Malawi, Cambodia, Italy and Germany