An assessment of the causes of malnutrition in Ethiopia: A ...
An assessment of the causes of malnutrition in Ethiopia: A ... An assessment of the causes of malnutrition in Ethiopia: A ...
Table 3.2: Poverty headcount (2002), malnutrition indicators (2000), and per capita food production by region. Region Poverty head count ratio Urban Rural Total Food production, per capita Stunted Wasted Child malnutrition Tigray 60.7 61.6 61.4 159 55.3 11.1 47.9 Afar 26.8 68.0 56.0 12 47.6 12.6 50.5 Amhara 33.1 42.9 41.8 176 57.0 9.5 51.8 Oromiya 35.9 40.4 39.9 202 47.2 10.4 42.2 Somali 26.1 44.1 37.9 11 46.4 15.8 44.3 Underweight Benishangul- Gumuz 28.9 55.8 54.0 530 41.3 14.2 42.3 SNNP 40.2 51.7 50.9 78 55.4 11.8 53.7 Gambella 38.4 54.6 50.5 86 37.0 18.1 39.0 Harari 35.0 14.9 25.8 31 37.3 6.3 27.1 Addis Ababa 36.2 27.1 36.1 6 26.8 4.2 14.1 Dire Dawa 33.1 33.2 33.1 19 30.5 11.1 30.8 NATIONAL 36.9 45.4 44.2 -- 51.5 10.5 47.2 Source: For the poverty head count ratio MOFED 2002, MOFED. The per capita food production is computed using CSA data on cereal, oilseed, and pulse production for 1996/97-2003/4. For health and health related indicators, the source is the MOH Planning and Programming Department. Note: For SNNP root crops and vegetables, including enset, are very important crops but data on their production is not available for most of the years. For those years where data is available (2001/02 and 2002/03) the total per capita food production increases to 103 and 114 kg respectively. hand, communities in the central highlands maintain sedentary agriculture, which is based on crops and livestock. Separate assessments of food security status in different regions are required in order to tailor food aid programs to Ethiopia’s geographic, demographic, and cultural diversity. Between 2000 and 2004, per capita production of food crops was above the national average in three of the four major regions of the country (Tigray, Amhara, and Oromia). The national average for this period was 145.5 kg/person while the regional average was 164, 177 207, and 71 for Tigray, Amhara, Oromia, and SNNPR, respectively (EEA 2003/04). The regions with the highest food deficits, Afar and Somali, also have the highest level of child malnutrition (Table 3.2). The prevalence of wasted and underweight children in Afar in 2000 was 12.6 percent and 50.5 percent, while the national prevalence was 10.5 percent and 47.2 percent, respectively. As show in Figure 3.3, using the 225 kg/person/year food crop (grain) production (or 2.25 quintals/person/year) as a benchmark for measuring the food crop production deficit, the food deficit in drought prone regions in 2000 was high. In addition to the magnitude of malnutrition, Table 3.2 shows the poverty level and the average per capita food production for the 1996/97-2003/4 period by region. It is important to relate the data in this table to Figure 3.3. Note that Benishangul-Gumuz, a region with the highest per capita food production in all the reported years – producing above the FAO recommended yearly per capita food intake – nevertheless has the highest poverty measure. This indicates that high agricultural production does not guarantee poverty reduction or a reduction in malnutrition, since poverty is one of its basic determinants. 50
Figure 3.3: Per capita food production by major region – 1996/97 to 2003/04. Qt/person 4.000 3.500 3.000 2.500 2.000 1.500 1.000 0.500 0.000 1996/97 1997/98 1998/99 1999/2000 2000/01 2001/02 2002/03 2003/04 Year Tigray Per Capita Food Production Amhara Per Capita Food Production Oromia Per Capita Food Production Benshangul- Gumuz Per Capita Food Production SNNPR Per Capita Food Production FAO recommende d yearly food intake Source: Based on CSA data. A regional comparative analysis, using malnutrition and food insecurity indicators, for Ethiopia is reported by Devereux (2004). He considered stunting to be a measure of chronic or long-term food deficit and wasting as an indicator of short-term or acute food insecurity. He reported similar figures to those shown in Table 3.2 and made a region-byregion comparison. An aggregate relationship indicator was not reported. A simple correlation analysis between poverty and food insecurity indicators and that of a weighted aggregate index of malnutrition was done for this study. Food insecurity is measured by the food gap per capita. A simple Pearson correlation coefficient of 0.66 between poverty level and malnutrition and 0.24 between food insecurity and malnutrition is obtained. The high correlation between poverty and malnutrition suggests that poverty indeed is one of the major basic determinants of malnutrition, whereas the considerably lower correlation between food insecurity and malnutrition suggests that non-food determinants of malnutrition are of equal if not more important than the food related determinants. One of the implications is that a food-biased strategy to reduce malnutrition will not be adequate. Of course, this is a preliminary assessment that should be further tested with detailed analysis using pooled time-series cross-sectional data. 3.4.5. Poverty and malnutrition: The rural-urban dimension The issue of food insecurity in Ethiopia cannot be resolved until the twin problems of poverty and insufficient food supply at national level are addressed. In order to design a comprehensive response to the problem of food insecurity and malnutrition, rural poverty has to be tackled, since it is the root cause of these problems there. As shown in Table 3.3, malnutrition is significantly higher in rural areas than in the urban centers. A literature review also gives detailed insights into rural-urban and regional variations in terms of food and nutrition issues. Kaluski et al. analyzed the aggregate food security of the regions of Ethiopia in 1999 according to availability, accessibility and adequacy and the estimated size of the needy population in each. Regional needs vary. Some of the highest prevalence rates of malnutrition were found in the food-surplus regions of the country. For example, Oromiya showed high malnutrition rate, especially in elderly and 51
- Page 14 and 15: Figure 1.1: Stunting among children
- Page 16 and 17: these underlying determinants of th
- Page 18 and 19: experimental body of evidence that
- Page 20 and 21: water can have significant impact o
- Page 22 and 23: 2.1. Introduction In the early 1960
- Page 24 and 25: violating the basic tenets presente
- Page 26 and 27: Table 2.3: Regional profile of stun
- Page 28 and 29: A rich food through popularization
- Page 30 and 31: key tenet in the process of identif
- Page 32 and 33: Basic Causes Major Features High im
- Page 34 and 35: commodity trading is the most signi
- Page 36 and 37: Table 2.9: Gross primary enrollment
- Page 38 and 39: following and in alliance with the
- Page 40 and 41: • Accept that agricultural develo
- Page 42 and 43: the other practices that need to be
- Page 45 and 46: CHAPTER 3: FOOD SECURITY AND MALNUT
- Page 47 and 48: Afar in 2000 was 12.6 percent and 5
- Page 49 and 50: 3.1. Introduction The economic grow
- Page 51 and 52: In a more technical way, it is diff
- Page 53 and 54: differently, it is important to acc
- Page 55 and 56: households will not be as difficult
- Page 57 and 58: the drought prone areas, the rain f
- Page 59 and 60: insecure, these activities will als
- Page 61: viewed as a proxy for household foo
- Page 65 and 66: Intermediate means of transport suc
- Page 67 and 68: educated, environmentally conscious
- Page 69 and 70: 1995-96 revealed that ‘the greate
- Page 71 and 72: works are key instruments to lay do
- Page 73 and 74: due to inappropriate land mismanage
- Page 75 and 76: 3.6.3.5. HIV/AIDS This disease is w
- Page 77 and 78: coordinates the different implement
- Page 79 and 80: conception through early pregnancy
- Page 81 and 82: households who depend on purchased
- Page 83 and 84: • Improve rural radio infrastruct
- Page 85 and 86: 3.7.3.6. Improve rural market infra
- Page 87 and 88: CHAPTER 4: CARE AND MALNUTRITION IN
- Page 89 and 90: household allocation; 5) workload a
- Page 91 and 92: lack of national nutrition strategy
- Page 93 and 94: children between 6 and 24 months. T
- Page 95 and 96: Care was recognized as one of the u
- Page 97 and 98: Figure 4.1: Risk of death in infant
- Page 99 and 100: Table 4.2: Present discount values
- Page 101 and 102: Figure 4.3: Factors that affect the
- Page 103 and 104: Box 4.2: Reasons why PLWHA are vuln
- Page 105 and 106: Figure 4.7: Risk of mother to child
- Page 107 and 108: arely provide this kind of benefit.
- Page 109 and 110: Figure 4.8: The extended model of c
- Page 111 and 112: 4.3.1.2. Recognizing symptoms of il
Figure 3.3: Per capita food production by major region – 1996/97 to 2003/04.<br />
Qt/person<br />
4.000<br />
3.500<br />
3.000<br />
2.500<br />
2.000<br />
1.500<br />
1.000<br />
0.500<br />
0.000<br />
1996/97 1997/98 1998/99 1999/2000 2000/01 2001/02 2002/03 2003/04<br />
Year<br />
Tigray Per<br />
Capita Food<br />
Production<br />
Amhara Per<br />
Capita Food<br />
Production<br />
Oromia Per<br />
Capita Food<br />
Production<br />
Benshangul-<br />
Gumuz Per<br />
Capita Food<br />
Production<br />
SNNPR Per<br />
Capita Food<br />
Production<br />
FAO<br />
recommende<br />
d yearly<br />
food <strong>in</strong>take<br />
Source: Based on CSA data.<br />
A regional comparative analysis, us<strong>in</strong>g <strong>malnutrition</strong> and food <strong>in</strong>security <strong>in</strong>dicators,<br />
for <strong>Ethiopia</strong> is reported by Devereux (2004). He considered stunt<strong>in</strong>g to be a measure <strong>of</strong><br />
chronic or long-term food deficit and wast<strong>in</strong>g as an <strong>in</strong>dicator <strong>of</strong> short-term or acute food<br />
<strong>in</strong>security. He reported similar figures to those shown <strong>in</strong> Table 3.2 and made a region-byregion<br />
comparison. <strong>An</strong> aggregate relationship <strong>in</strong>dicator was not reported.<br />
A simple correlation analysis between poverty and food <strong>in</strong>security <strong>in</strong>dicators and that<br />
<strong>of</strong> a weighted aggregate <strong>in</strong>dex <strong>of</strong> <strong>malnutrition</strong> was done for this study. Food <strong>in</strong>security is<br />
measured by <strong>the</strong> food gap per capita. A simple Pearson correlation coefficient <strong>of</strong> 0.66<br />
between poverty level and <strong>malnutrition</strong> and 0.24 between food <strong>in</strong>security and <strong>malnutrition</strong> is<br />
obta<strong>in</strong>ed. The high correlation between poverty and <strong>malnutrition</strong> suggests that poverty <strong>in</strong>deed<br />
is one <strong>of</strong> <strong>the</strong> major basic determ<strong>in</strong>ants <strong>of</strong> <strong>malnutrition</strong>, whereas <strong>the</strong> considerably lower<br />
correlation between food <strong>in</strong>security and <strong>malnutrition</strong> suggests that non-food determ<strong>in</strong>ants <strong>of</strong><br />
<strong>malnutrition</strong> are <strong>of</strong> equal if not more important than <strong>the</strong> food related determ<strong>in</strong>ants. One <strong>of</strong> <strong>the</strong><br />
implications is that a food-biased strategy to reduce <strong>malnutrition</strong> will not be adequate. Of<br />
course, this is a prelim<strong>in</strong>ary <strong>assessment</strong> that should be fur<strong>the</strong>r tested with detailed analysis<br />
us<strong>in</strong>g pooled time-series cross-sectional data.<br />
3.4.5. Poverty and <strong>malnutrition</strong>: The rural-urban dimension<br />
The issue <strong>of</strong> food <strong>in</strong>security <strong>in</strong> <strong>Ethiopia</strong> cannot be resolved until <strong>the</strong> tw<strong>in</strong> problems <strong>of</strong><br />
poverty and <strong>in</strong>sufficient food supply at national level are addressed. In order to design a<br />
comprehensive response to <strong>the</strong> problem <strong>of</strong> food <strong>in</strong>security and <strong>malnutrition</strong>, rural poverty has<br />
to be tackled, s<strong>in</strong>ce it is <strong>the</strong> root cause <strong>of</strong> <strong>the</strong>se problems <strong>the</strong>re. As shown <strong>in</strong> Table 3.3,<br />
<strong>malnutrition</strong> is significantly higher <strong>in</strong> rural areas than <strong>in</strong> <strong>the</strong> urban centers.<br />
A literature review also gives detailed <strong>in</strong>sights <strong>in</strong>to rural-urban and regional<br />
variations <strong>in</strong> terms <strong>of</strong> food and nutrition issues. Kaluski et al. analyzed <strong>the</strong> aggregate food<br />
security <strong>of</strong> <strong>the</strong> regions <strong>of</strong> <strong>Ethiopia</strong> <strong>in</strong> 1999 accord<strong>in</strong>g to availability, accessibility and<br />
adequacy and <strong>the</strong> estimated size <strong>of</strong> <strong>the</strong> needy population <strong>in</strong> each. Regional needs vary. Some<br />
<strong>of</strong> <strong>the</strong> highest prevalence rates <strong>of</strong> <strong>malnutrition</strong> were found <strong>in</strong> <strong>the</strong> food-surplus regions <strong>of</strong> <strong>the</strong><br />
country. For example, Oromiya showed high <strong>malnutrition</strong> rate, especially <strong>in</strong> elderly and<br />
51