Food Consumption Patterns among Syrian Refugees Vulnerability - - PowerPoint PPT Presentation

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Food Consumption Patterns among Syrian Refugees Vulnerability - - PowerPoint PPT Presentation

Faculty of Health Sciences Food Consumption Patterns among Syrian Refugees Vulnerability Assessment and Mapping Unit. WFP Lebanon. Presented by Mazen Makarem Background Time # of Refugees Increasing influx of Syrian refugees Dec 2012


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Vulnerability Assessment and Mapping Unit. WFP Lebanon. Presented by Mazen Makarem

Food Consumption Patterns among Syrian Refugees

Faculty of Health Sciences

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  • Since June 2012, WFP has provided food assistance (electronic food vouchers)

with the aim of:

  • ensuring refugees have the minimum access to food
  • mitigating risks of engaging in irreversible coping strategies
  • To better understand refugees’ vulnerability situation and inform programme

decision making, 2 assessments were conducted in 2013 and 2014: “VASyR”.

  • VASyR: Vulnerability Assessment of Syrian Refugees. Nation-wide, multi-sectoral

household survey.

  • A WFP leaded joint exercise together with UNICEF and UNHCR.

Background

Time # of Refugees Dec 2012 129,000 Dec 2013 806,000 Dec 2014 1.1 million

  • Increasing influx of Syrian refugees

in Lebanon since 2011.

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VASyR general objective: To better understand/ monitor and evaluate the vulnerability situation of Syrian refugees in Lebanon regarding education, food security, health, nutrition, protection, shelter, WASH. Specific objectives of this presentation

  • Analyze food consumption patterns
  • Identify potential risks of malnutrition
  • Monitor food consumption changes
  • Provide recommendations for food assistance programs

Objectives

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Methodology

  • Household multi-sectoral survey
  • 2 steps cluster random selection of HH proportional to population

size (pps)

  • 1step: random selection of cluster within strata (pps)
  • 2 step: random selection of households within each cluster
  • Household questionnaire – 1 hour long
  • Open Data Kit Collect (ODK)- tool

VASyR 2013 2014 Sample size 1422 1750 Strata 4 (By registration date) 5 (Regional) Households/ strata 350 Clusters / strata 35

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How many days in the past week did any member of your household consume the following food groups Cereals, grains and cereal products

|___|

Bread and pasta

|___|

Roots, tubers

|___|

Nuts and pulses

|___|

Green leafy vegetables

|___|

Vit A rich vegetables

|___|

Other vegetables:

|___|

Vit A rich fruits:

|___|

Other fruits:

|___|

Liver, organ meat,

|___|

Red flesh meat.

|___|

Eggs

|___|

Fish

|___|

Sugar/sugar products/honey

|___|

Milk/milk products

|___|

Fats/oil

|___|

Spices/condiments

|___|

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7 day recall food consumption scores

Indicators

  • HWDD: Household Weekly Diet Diversity.
  • Number of food groups consumed in the past week. (Based on 12 HDDS food

groups)

  • Diet diversity dimension
  • E.g. HWDD = 5; 5 different food groups were consumed in the household in

the week.

HDADD: Household Daily Average Diet Diversity

  • Mean number of food groups consumed per day in the past week
  • Diet diversity and frequency dimensions
  • E.g. HDADD = 3; on average, 3 different food groups are consumed per day

FCS: Food Consumption Score

  • Diet diversity, frequency and nutrition value dimensions
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WFP Food Consumption Module

Cereal Pulse Fruit Vegetable Meat, fish, eggs Dairy Sugar Oil

FOOD CONSUMPTION SCORE

Diet diversity Consumption frequency Nutrient value Poor Borderline Acceptable

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Results: Food Consumption Score

5% 3% 2% 2% 6% 4% 2%

11% 7% 13% 6% 9% 9% 4%

85% 89% 85% 92% 85% 87% 93% 65 69 66 73 66 68 75

60 62 64 66 68 70 72 74 76

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Acceptable Borderline Poor Mean

  • Most refugee households have acceptable FCS
  • Acceptable FCS has decreased between 2013 and 2014
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Results: Food Consumption Score

FCS

2013 2014

Poor 2% 4% Border line 4% 9% Acceptable 93% 87%

  • Increase in proportion of HH with

poor and border line FCS

  • Increase in proportion of

households applying food consumption related coping strategies

  • Reduction of portion sizes
  • Reduction in number of meals
  • Less preferred /expensive

food

  • Spend days without eating
  • Reduction of adults or females

consumption

2013 2014

Acceptable 57% 34% Acceptable with coping strategies 36% 53%

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Household Weekly Diet diversity Mean ≤6 7-8 ≥9 2013 9.7 3% 16% 81% 2014 9.4 4% 22% 74%

Results: Diet Diversity

Household Daily Average Diet Diversity Mean ≤4.4 4.5-6.4 ≥6.5 2013 7.4 1% 19% 80% 2014 6.8 6% 32% 63% Out of 12 food groups:

  • Most refugee households consumed 9 or more food groups per

week and 7 or more food groups per day.

  • Acceptable diet diversity
  • Reduction of diet diversity between 2013 and 2014
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Food Consumption Pattern - 2014

Acceptable FCS and diet diversity do not necessary rule out potential micronutrient deficiencies 43% did not consume any iron-rich food groups (fish and meat) Nearly 60% of households did not consume any Vitamin A rich vegetables or fruit

0% 2% 13% 2% 4% 15% 3% 3% 18% 14% 57% 79% 83% 73% 95% 90% 92% 94% 85% 72% 69% 49% 51% 31% 9% 22% 1% 0% 1% 1% 1% 1% 1% 0% 1 2 3 4 5 6 7 8 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 6-7 days 1-5 days 0 days Mean

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Food Consumption Pattern

99% 96% 98% 92% 91% 86% 90% 83% % 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 2013 2014 2013 2014 2013 2014 2013 2014 Bread Condiments Sugar Fats

6-7 days

79% 80% 91% 87% 86% 89% 97% 94% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 2013 2014 2013 2014 2013 2014 2013 2014 Vit A Vegetables Fish Vit A fruits Organ Meat

0 days Most consumed Least consumed High energy foods lack micro-nutrients High content in micro nutrients

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  • Although most refugee households had acceptable food

consumption score and diet diversity, the food pattern shows a potential risk of micronutrient deficiencies.

  • The high caloric content and low nutritious value of the most

consumed food groups together with the risk

  • f

micronutrient deficiencies could lead to a double burden of malnutrition.

  • A reduction on FCS and diet diversity was observed in 2014

compared to 2013 without significant differences in the general food pattern.

  • Following these results WFP developed leaflets as guidance

for a balance diet and smart shopping.

  • Despite

the limitations associated with multi-sectoral emergency assessments, specific analysis can provide useful insights of risk of malnutrition and inform programme design.

  • Conclusions
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World Food Programme World Food Programme

Questions?

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Food groups Weight Justification

Main staples

2 Energy dense/usually eaten in large quantities, protein content lower and poorer quality (PER less) than legumes, micro-nutrients (bounded by phytates)

Pulses

3 Energy dense, high amounts of protein but of lower quality (PER less) than meats, micro-nutrients (inhibited by phytates), low fat

Vegetables

1 Low energy, low protein, no fat, micro-nutrients

Fruits

1 Low energy, low protein, no fat, micro-nutrients

Meat and fish

4 Highest quality protein, easily absorbable micro-nutrients (no phytates), energy dense, fat. Even when consumed in small quantities, improvement to the quality of diet are large

Milk

4 Highest quality protein, micro-nutrients, vitamin A, energy. However, milk could be consumed only in very small amount and should then be treated as condiment and therefore re-classification in such cases is needed

Sugar

0.5 Empty calories. Usually consumed in small quantities

Oil

0.5 Energy dense but usually no other micro-nutrients. Usually consumed in small quantities

Condiments

These foods are by definition eaten in very small quantities and not considered to have an important impact on overall diet.