|
SMALLHODER GOAT PRODUCTION AND INDIVIDUAL
FOOD SECURITY: THE CASE OF WOMEN FOCUSED DAIRY GOAT DEVELOPMENT PROJECT IN EASTERN HARARGHE
OF ETHIOPIA
Habtemariam Kassa1, Workneh
Ayalew2 , Zewdie H/Gabriel3 and Tefera G/Meskel2
1Alemaya
University, College of Agriculture. P.O.Box 92. Ethiopia. Fax 251 (0)5 114008.
1FARM Africa - Ethiopia, P. O. Box 5746, Addis Ababa, Ethiopia. Fax 251 01 55 21 43
3Freelance Consultant
Abstract
A study was conducted between 1996 and 1999 to evaluate
the contribution of the Dairy Goat Development Project of FARM Africa in improving
the nutritional status, in particular vitamin A status, of project participants
in selected woredas of southeastern Ethiopia. The study was based on
surveys (baseline and formative), nutrition education based interventions and
post intervention impact assessment. The baseline survey and the formative data
collection were undertaken on 830 and 228 households, respectively, residing
in 15 villages. In addition to dietary frequency and anthropometric measurements,
other health and nutritional parameters, demographic, socioeconomic and agricultural
aspects were included in the study. Findings of the baseline survey and results
of the formative data collection show that the health and nutritional, particularly
the micronutrient status of women and children, are extremely low, irrespective
of the involvement in the Dairy Goat Development Project. This implies that
if increased milk production and farm income from livestock development projects
is to be translated into improved nutritional and health status of women and
children, livestock extension messages need to be complemented with nutritional
and health education elements.
1. Introduction - Project Objective
The Dairy Goat Development Project
(DGDP) aims at improving the socio-economic and nutritional status of women
and children in the heavily populated highland areas of Ethiopia. To achieve
its objective, the project has been engaged in identifying women groups, offering
them training in better husbandry of dairy goats and then providing them with
goats first local and then crossbred dairy goats. Assessment of the socio-economic
impact of the DGDP in eastern Hararghe has underlined the significant increase
in milk production and income earned by participant households (Wagayehu and
Habtemariam, 1995). But whether this increased income and on-farm milk availability
has also led to improvements in the nutritional status of women and children
remained unknown. As a result, this study was proposed and implemented between
1996 and 1999 in collaboration with the International Centre for Women through
a grant obtained from USAID.
The objective of the study was to
evaluate the contribution of the DGDP of FARM Africa in improving the nutritional
and, particularly, the micronutrient status of people in southeastern Ethiopia,
where the project has been operational for some years. This was done by comparing
health and micronutrient status of participant and non-participant households.
The experience gained is expected to serve as a case study to determine methods
of improving the effectiveness of livestock development projects in enhancing
household and individual food security, notably micronutrient status of individuals.
In particular, it was hoped that the experiences gained would be used in designing
future goat development projects. The lessons learned and the experience gained
in designing and implementing a nutrition education based intervention, and
its impact on peoples awareness about nutrient deficiency diseases, will be
the subject of a separate paper. This paper reports the findings of the baseline
survey and the formative data collection stages of the project.
2. Materials and Methods
2.1. Description of the Project Area
The study was conducted
in East Hararghe Zone of Oromia National Regional State. East Hararghe Zone
covers an area of about 90,620 square kilometers with an altitude ranging between
700 and 3,400 meters above sea level, and mean annual rainfall ranges between
315 and 1040 mm. The land holding per household ranges roughly between 0.3 and
1.5 hectares (Zonal Office of Agriculture, 1996). The Zone is known for its
chat (Chata edulis), sorghum and beef production, but the study
area is among one of the food deficit regions of Ethiopia (AUA, 1986). The general
prevailing production system is a crop-based mixed farming system. Typical of
any mixed farming system, livestock are an integral part, fulfilling the traditional
role of providing milk, meat, draft power, and manure, serve as a financial
reserve for the rural population, and play vital roles in the society and culture.
Often a family possesses 1-2 cattle, a few goats and a donkey (AUA, 1986).
Health problems in the
Zone are more or less similar to the national picture as causes of both morbidity
and mortality. Nonetheless, it is noteworthy that homicidal injuries, liver
cirrhosis and transport accidents are among the top ten causes of mortality.
These causes of mortality might be, directly or indirectly, attributed to the
chewing of chat. Yet, about two-thirds of the total population are believed
to have access to some type of health service. The zonal health service coverage
rate of 60% is relatively high when compared with the national figure of 44
to 47%. This is partly because the figure includes the city of Harar, which
hosts the majority of the hospitals in Eastern Ethiopia. Nevertheless, actual
service coverage (immunization programs, antenatal service and assisted deliveries)
is surprisingly very low (MOH, 1995; Zonal Health Department, 1996).
East Hararghe is subdivided
into 15 woredas (CSA, 1996). Gursum and Kombolcha, the study areas, are
two of the districts that represent the contrasting features of many of the
districts. These woredas are the operational areas of FARM Africa where
50% crosses of Anglo-Nubian dairy goats and local goats were distributed to
households to improve their income as well as their nutritional status. According
to the 1994 National Population and Housing Census, Gursum woreda has
a total population of 151, 405 (CSA, 1996), with 91% living in rural areas.
The mean annual rainfall was 756 mm for the year 1995/96. The average land holding
per household is estimated to be approximately 1.5 hectares (Zonal Office of
Agriculture, 1996). The woreda is well known for its erratic rainfall
and frequent crop failures. Kombolcha woreda has a population of 82,801
(CSA, 1996). In some areas the population density reaches as high as 250 persons/km2
(Wibaux, 1986). In the two woredas, cereal crop production is dominant.
Chat is a major cash crop. It is more widely cultivated in Kombolcha
than in Gursum.
2.2 Methodology
With regard to the methodology,
the practical situation dictated that no biochemical assessments of vitamin
A or iron status would be included. Rather, anthropometric measurements to evaluate
nutritional status (WHO, 1995) and dietary assessments to examine marginal deficiencies
using 24-hour recall for iron intake (Gibson, 1990) and the Helen Keller International
(HKI) food frequency for vitamin A intake (HKI, 1993) were used as outcome measures.
Dietary assessments were conducted between May and July, during the season of
low availability of vitamin A rich foods. The seasonal effects on vitamin A
rich food availability were assessed through questionnaires.
The data collection methods
used at different stages of the study included: review of secondary data; reconnaissance
survey by team members; a largely questionnaire based baseline survey that included
a dietary survey and anthropometric measurements; and a questionnaire based
formative data collection (with dietary survey and anthropometric measurements)
supplemented with semi-structured focus group discussion. A workshop was conducted
to share research findings and to design trial intervention strategies. The
identified trial intervention strategy was then implemented, and its impact
was examined through a post-intervention survey. This paper reports on some
of the findings of the baseline and the formative data collection.
2.2.1. The Baseline Survey
2.2.1.1. Sampling Methods
A two-stage stratified
random sampling technique was used to select the households. Thus, out of the
total 36 Peasants' Associations (PA) in Gursum and 14 in Kombolcha, 4 PA (3
in Gursum and 1 in Kombolcha) were selected on the basis of FARM Africa's involvement.
After registration of the households living in these PA and listing households
with at least one child under five years of age, 830 households were randomly
selected.
2.2.1.2. Data Collection
Data were collected using
a structured questionnaire. The questionnaire was first developed in English
and then pre-tested. After necessary revisions, the English version was translated
to Amharic. On the basis of this final version a manual on how the questionnaire
should be filled was prepared for use by enumerators. Variables included demography,
socio-economic variables, general health and nutritional status, dietary intake,
feeding practices, water supply and waste disposal. The baseline survey was
undertaken between the end of February and end of March, 1996. The survey covered
a total of 15 villages (10 in Gursum and 5 in Kombolcha) in the vicinity of
the three project sites. The required number of households to be studied in
order to assess Vitamin A status of a community as per the HKI methodology is
750. But 78 of them were found to have no children under five years of age and
replacement households were added. Thus a total of 830 households were surveyed,
of which 240 of them were beneficiaries of the DGDP activities of FARM Africa.
The survey interview and the weighing and measuring of household members was
done after obtaining the consent of prospective interviewees. No household
was reported to have refused the interview. Adult members of the households,
mainly mothers, were interviewed and whenever the mothers were out of the house,
enumerators skipped such households and returned later to conduct the interviews.
The time of interview per respondent household averaged about one hour.
The baseline survey also
included a dietary survey and anthropometric measurements. For the dietary survey,
mothers were asked to provide detailed information on the type and amount of
food that the household had consumed during the last 24 hours. The method of
preparation and the ingredients used for the preparation of various foods were
also noted. The amount of solid and liquid food items eaten during the previous
day were estimated and recorded. In addition to the 24-hour recall survey, dietary
food frequency information was collected. During the survey households were
asked how frequently they consumed these food items and responses were recorded.
The questionnaire developed by the HKI (1993) food frequency method to assess
community risk of vitamin A deficiency was modified slightly to fit the local
situation and was used for the interview of mothers and caretakers. While taking
anthropometric measurements, weight was measured to the nearest 100 g using
bathroom scales for adults and older children, while hanging scales were used
for younger children. Height was measured to the nearest 0.5 cm using a graduated
height stick with a moveable headpiece. Length was determined in a supine position
using a calibrated measuring board for children who could not yet walk.
The total number of households
studied during the baseline survey was 830, with 265 from Kombolcha and 565
from Gursum woredas. A total of 4,664 individuals were included in the
study. Twenty enumerators, two supervisors and two field nutritionists were
involved in the data collection. The field nutritionists recruited, trained
and supervised the activities of supervisors and enumerators, in addition to
reviewing and checking questionnaires.
2.2.2. The Formative Data Collection
2.2.2.1. Sampling
A total of 228 households were surveyed.
The households included 59 crossbred goat recipients (those who have received
local and crossbreed goats from DGDP), 103 local goat recipients and 72 control
households that do not own livestock. Of the goat recipients, only those who
had owned goats for at least a year and half were included. Control households
outside the project extension sites were included to eliminate indirect project
influences in the answers given to survey questions.
2.2.2.2. Data Collection
The formative survey was
conducted between May and July 1996 with the help of the same field nutritionists,
field supervisors and enumerators that were utilized in the baseline survey.
The survey focused on the selected mother-child pair. The data collection instrument
included the following aspects: description of the sample household including
demography, selection of reference mother and child, dietary assessment that
focused on children between 1 and 3 years of age, anthropometry on reference
mother and child, questions on nutrition and agriculture to the mother, 24-hour
dietary recall for the whole family, HKI for the reference child, 1-week recall
of purchase and sale of food items, 1-year recall of livestock dynamics (additions,
disposal, decision making, prices), participation of sample households in the
activities of the DGDP, and clinical examination of mothers and pre-school children
for signs of vitamin A deficiency and for anemia. Anemia was assessed through
the presence of paleness in the lips, tongue and eye. History of night-blindness
was also recorded through interviews.
2.2.3. Data Checking, Coding, Entry, Editing and Analysis
Before data analysis, the
data collected during the baseline survey and the formative data collection
study were thoroughly cleaned and edited. After final checking and coding, data
were entered into different data files using the EPI INFO Version 6 computer
program. The DEMETER Version 2.05 software was used for the 24-hour dietary
recall survey. The values of anthropometric measurements were analyzed using
ANTHRO software. The mean frequencies of consumption of vitamin A-rich foods
were estimated using the HKI (1993) method.
3. Results and Discussion
3.1. Findings of the Baseline Survey
3.1.1 Family size and illiteracy
The mean family size was
5.2, which is higher than the national figure of 4.5. The overall illiteracy
rate was 74.6%, and is slightly higher than the national rate (72%). The illiteracy
rate and other rates of educational achievements were very similar in the two
woredas. In both woredas females were more illiterate than males
(P < 0.001).
3.1.2. Health and Nutrition
3.1.2.1. Antenatal Care and Illness
Antenatal attendance rate
was significantly higher (P < 0.001) in Kombolcha district (41.6%) than in
Gursum (27.8%). The people living in the woredas seem to use the nearby
health facilities more than in many of the areas of the country as the national
antenatal attendance rate is about 20% (CSA, 1992). Concerning illness of the
mother, anemia was reported to be high in females during the time of pregnancy
(22.7%) as compared with the national level of 17% for all age groups and both
sexes (CSA, 1992). However, the prevalence rate of anemia in Kombolcha (17.4%),
where a higher rate was expected because of the higher incidence of malaria,
was lower (P < 0.05) than in Gursum (25.7%). Some studies have indicated
that the problem of anemia is also prevalent in other parts of the country (CSA,
1992) and that the problem was not mainly due to nutritional factors but rather
to infections (Gebre-Medhin et al, 1976; Hofvander, 1986).
Night blindness seemed
be well known in the survey areas. Results indicated that 14.9% of mothers
had this symptom of vitamin A deficiency during their last pregnancy. The night
blindness rate in Gursum (17.2%) was higher (P < 0.05) than the rate in Kombolcha.
However, the reporting of night blindness among adults might have been highly
underestimated as adults get embarrassed and dishonored if others know that
a certain person has night blindness. Even so, the rate of night blindness
reported for pregnant women was quite high. The cutoff point for night blindness
set by the World Health Organization (WHO) for preschool children is 1% and
the rate observed for pregnant women in the current study of 14.9% indicates
the extremely high incidence. In the dietary frequency survey it was observed
that consumption of both preformed vitamin A and the precursor was extremely
low. Mothers have reported that their index children, who are below five years
of age, had night blindness in 5% of the cases. The figure is five times higher
than the WHO cutoff point of 1%. This rate of night blindness is so high that
urgent action needs to be taken to correct the deficiency problem. One such
option is provision of vitamin A capsules to the needy.
3.1.2.2. Dietary Habits and Feeding Frequencies
The staple food in the
study area is largely sorghum. Maize and sweet potatoes also play important
roles in the daily diets of households. In 83% of the households, sorghum was
the primary staple food of the diet, while combinations of sorghum with maize
and sorghum with sweet potato were staples in 13 and 4% of the households, respectively.
The mean frequency of consumption of these staples per week was 6.6 days. The
consumption of animal foods, vegetables and fruits was in general too low (Table
1). The major source of dietary fat is linseed oil, which is usually added to
sauces and foods consumed with "injera", a flat bread made from teff
(Eragrostis abyssinica) flour. Thus, these foods also contribute to
the daily energy intake.
In both woredas, the
mean frequency of consumption of vitamin A-rich foods (in days/week) was found
to be 0.7 for animal sources whereas the weighted total amounted to 1.6. Thus,
the consumption of both animal and plant sources of vitamin A is very low. The
frequency of consumption of animal and plant sources of vitamin A was less than
the threshold values recommended by HKI of £ 4 and
£ 6, respectively. Red pepper
was the major source of pro-vitamin A in the study area. Based on observations
made during the survey period and the findings of the dietary frequency assessment,
the intake of preformed vitamin A and that of the vitamin precursor was extremely
low, clearly indicating that the population was vitamin A deficient. Results
of the 24-hour dietary survey also showed that the intake of vitamin A was low
and did not satisfy the daily requirement of the individuals. Thus, introduction
of weaning foods from locally available ingredients that contain either vitamin
A or its precursor or that are vitamin A fortified could be considered as one
intervention option in future.
Table 1. Mean frequency of consumption of various food items
| |
Food items
|
|
Frequency (No. of days/week)
|
| |
|
Both woredas
|
PA1
|
PA2
|
PA3
|
PA4
|
| |
|
|
|
|
|
|
|
1.
|
|
6.6
|
6.8
|
6.5
|
6.8
|
6.4
|
|
2.
|
Spices
(red pepper)
|
2.9
|
1.8
|
4.1
|
4.3
|
3.0
|
|
3.
|
Dark green
leafy vegetables
|
0.4
|
0.9
|
0.8
|
0.1
|
0.1
|
|
4.
|
Milk
|
4.1
|
3.4
|
5.0
|
4.7
|
4.5
|
|
5.
|
Carrots
|
0.1
|
0.3
|
0.0
|
0.1
|
0.0
|
|
6.
|
Ripe mango
|
0.1
|
0.0
|
0.1
|
0.2
|
0.2
|
|
7.
|
Dark yellow
or orange pumpkin
|
1.3
|
0.5
|
1.9
|
1.6
|
1.9
|
|
8.
|
Swiss
chard
|
0.0
|
0.0
|
0.0
|
0.1
|
0.0
|
|
9.
|
Ripe papaya
|
0.4
|
0.0
|
1.1
|
1.1
|
0.4
|
|
10.
|
Spaghetti/macaroni
|
4.0
|
4.4
|
5.4
|
2.9
|
3.3
|
|
11.
|
Eggs with
yolk
|
0.5
|
0.1
|
1.2
|
0.7
|
0.6
|
|
12.
|
Small
fish (liver intact)
|
0.1
|
0.1
|
0.3
|
0.2
|
0.0
|
|
13.
|
Groundnut
|
3.0
|
2.6
|
3.3
|
3.6
|
3.2
|
|
14.
|
Yellow
or orange sweet potato
|
2.8
|
1.5
|
3.7
|
1.9
|
3.8
|
|
15.
|
Chicken
or other fowl
|
0.1
|
0.1
|
0.3
|
0.0
|
0.1
|
|
16.
|
Amaranths
leaves
|
0.3
|
0.8
|
0.0
|
0.0
|
0.0
|
|
17.
|
Any kind
of liver
|
0.0
|
0.0
|
0.0
|
0.0
|
0.0
|
|
18.
|
Sweet
potato leaves
|
0.3
|
0.7
|
0.0
|
0.0
|
0.0
|
|
19.
|
Meat (mutton,
beef)
|
0.2
|
0.2
|
0.2
|
0.3
|
0.1
|
|
20.
|
Butter
|
0.1
|
0.0
|
0.4
|
0.2
|
0.2
|
|
21.
|
Fenugreek
|
3.0
|
4.4
|
2.9
|
2.2
|
1.8
|
|
22.
|
Cod liver
oil
|
0.0
|
0.0
|
0.1
|
0.0
|
0.0
|
|
23.
|
Foods
cooked in oil
|
1.1
|
0.9
|
2.1
|
1.6
|
0.9
|
|
24.
|
|
1.9
|
2.6
|
2.7
|
1.1
|
0.9
|
|
25.
|
Weaning
foods fortified with Vit. A
|
0.1
|
0.0
|
0.1
|
0.1
|
0.1
|
|
26.
|
Avocado
|
0.0
|
0.0
|
0.0
|
0.0
|
0.0
|
3.1.2.3. Anthropometry
A total of 1,338 children
under 5 years of age were weighed and measured for their height. The standard
deviation scores (Z-scores) were calculated with the help of the ANTHRO software
developed by WHO and the Center for Disease Control (CDC). The -2.0 standard
deviation score was used as a cutoff point for determining undernutrition.
Body Mass Index (BMI), which is defined as a measure of body mass relative to
height and calculated as weight in kilograms divided by height in meter squared
(Wt/ht2), was also calculated using the same software. For both boys
and girls, the Z-score values of weight-for-age (underweight, WAZ), height-for-age
(stunting, HAZ) and weight-for-height (wasting, WHZ) are indicated in Table
2.
Table 2. Number and percent of underweight, stunted and wasting in children
under five years of age by age group
|
Age group
(months)
|
Z-score < - 2.00 S.D. from
the median
|
|
WAZ
|
HAZ
|
WHZ
|
Total
assessed
|
|
No.
|
%
|
No.
|
%
|
No.
|
%
|
No.
|
| |
|
|
|
|
|
|
|
|
<6
|
17
|
14.4
|
32
|
27.1
|
16
|
13.6
|
118
|
|
6 - <12
|
86
|
44.6
|
117
|
60.6
|
30
|
15.5
|
193
|
|
12 - <24
|
130
|
49.4
|
161
|
61.2
|
30
|
11.4
|
263
|
|
24 - <36
|
120
|
46.0
|
116
|
44.4
|
49
|
18.8
|
261
|
|
36 - <48
|
77
|
32.6
|
101
|
42.8
|
33
|
14.0
|
236
|
|
48 - <60
|
54
|
20.2
|
82
|
30.7
|
34
|
12.7
|
267
|
|
Total
|
484
|
36.2
|
609
|
45.5
|
192
|
14.3
|
1,338
|
As shown in Table 2, WHZ or wasting
was relatively high. All three parameters were relatively low in infants below
the age of 6 months, which is probably due to breastfeeding during this period.
As children get older, the rate of malnutrition decreases, which can be explained
by the fact that children start to share the family diet and keep up their nutritional
status. However, malnutrition was found to be higher during the second half
of infancy and the second year of life. This may be attributed to the late introduction
and the poor quality of supplementary foods. Besides, feeding specially prepared
foods like porridge to small children was not common. These anthropometric results
show that undernutrition in all forms was less during the first half of infancy
and during the fifth year of life.
The rate of wasting in the survey areas (14.3%)
was generally higher than the national rate of 8% (CSA, 1992). On the other
hand, rates of underweight (WAZ - 36.2%) and stunting (HAZ - 45.5%) were much
less than the national averages of 47.4% and 64.7%, respectively (CSA, 1992).
Wasting, which is an indicator of both chronic and acute malnutrition might
have been higher due to the fact that the current survey was conducted during
the lean season. Both underweight and stunting show a peak during the second
year of life, while the peak for wasting was observed during the third year
of life. It was also observed that the WAZ score was different between boys
and girls (P < 0.01), while HAZ and WHZ were not different between the two
sexes (P < 0.38 and P < 0.74, respectively). Thus, more girls were
underweight than boys. This might also be attributed to the feeding pattern,
where culturally women and girls eat after husbands and boys.
The BMI was assessed on
adults over the age of 20 years only (WHO, 1995). BMI values showed that the
nutritional status of most adults was reasonably good. The majority of the studied
population, 59.6% of both sexes, 57.1% of males and 61.9% of females, were within
the normal range. However, the rest of the population, who were outside of
the normal range, exhibited varying degrees of thinness and the overweight rate
was less than 1%. Although the trend shows that there were more males who were
thinner than females, the difference in BMI between the two sexes was not statistically
significant (P = 0.076).
3.1.3. Livestock Ownership
Nearly one-third (28%)
of the households did not own cattle and 85% of the cattle rearing households
owned a maximum of 2 cattle. About 34% of the households did not own goats,
and 88% of the goat rearing households owned a maximum of 2 goats. Project
beneficiary households owned significantly more goats than non-recipients. However,
non-recipients generally had more cattle. This is in line with what would have
been expected as the project was designed to serve the poorest stratum of the
society. But the number of sheep and chickens did not vary between participant
and non-participant families.
3.1.4. Decision Making
Although women were the
ones who received goats on credit from the DGDP and were involved to a large
extent in their management; it was generally the husbands alone who made decisions
on product marketing and use of the revenues generated from goats. This occurred
to the extent that money to pay for treatment of sick goats had to come from
the husbands. Milk sale is understood to be a women's affair even if the husband
reserves the right to stop it. Decisions on the types and number of animals
to rear, and on major expenditures with the exception of daily consumables,
are largely made by the husband.
3.2. Observations from the Formative Data Collection
3.2.1. Family Size
Average family size for
the three groups was 5.5. Family size varied with the level of participation
(P < 0.001); the controls had the lowest (4.6), local goat recipients were
in the middle (5.8) and crossbred goat recipients had highest number of family
members (6.1).
3.2.2. Number of Goats
The two participant groups,
crossbred and local goat breed recipients, did not vary significantly in the
number of goats they own, 2.8 and 3.1 respectively. But the milk production
levels of crossbred and local goats were reported to be very different (Wagayehu
and Habtemariam, 1995).
3.2.3. Vitamin A Consumption
The mean frequency of consumption
of vitamin A from animal sources for all three groups amounted to 2.75 days
per week, indicating a very low level of consumption.
3.2.4. Anthropometric Results
The BMI values were generally
in line with findings of the baseline survey. Tables 3 and 4 summarize the anthropometric
results of the formative data collection. Differences in wasting were not noticeable
among groups, while underweight and stunting appeared to be more severe in the
control group than in the first two groups owning goats. Even though the highest
percentages of stunting and underweight were observed in the control groups,
differences were not highly related to project participation levels. The difference
between Group One (crossbred goat owners) and Group Two (local goat owners)
was not as high as that observed between Group Two and Group Three (no livestock).
4. Conclusion
An attempt was made, using
nutritional status measurements, to assess whether the increased milk production
and farm income accrued as a result of involvement in the DGDP of FARM Africa
was translated into improved nutritional status of women and children. Results
showed that in both nutritional and micronutrient status, all of the groups
and the community at large exhibited nutritional deficiencies, irrespective
of involvement and degree of participation in DGDP. The available methodologies
could not detect major differences among groups, even though project participants
themselves acknowledged improvements in supply of foods from animal origin.
This might be because the deficiency level was already so high or the improvement
accrued was relatively low to be properly accounted for by conventional methods.
Nutritional status is also a function of the health status of individuals and
the exclusion of biochemical analyses in this study may have confounded the
results. The information from the focus group study also revealed that most
of the milk produced was consumed by adults as hoja (traditional tea
made of coffee pulp and leaves and preferably drunk with milk) while chewing
chat, and only a limited amount was left for children and mothers. In
addition, communities were not getting any nutrition and preventive health education.
Thus, if livestock development projects could be supplemented with health and
nutrition education for participants, their impact on the nutritional status
of people would be greatly improved.
Table 3. Body Mass Index values for all groups and for each of the three
groups.
|
BMI
|
Description
|
All Groups
|
Group 1
|
Group 2
|
Group 3
|
|
No.
|
%
|
No.
|
%
|
No.
|
%
|
No.
|
%
|
|
< 16.00
|
Severe thinness
|
11
|
4.9
|
3
|
6.3
|
7
|
6.7
|
1
|
1.4
|
|
16.00 16.99
|
Moderate thinness
|
23
|
10.3
|
3
|
6.3
|
11
|
10.4
|
9
|
12.9
|
|
17.00 18.99
|
Mild thinness
|
56
|
25.2
|
12
|
25.0
|
29
|
27.7
|
15
|
21.4
|
|
18.50 24.99
|
Normal
|
125
|
56.0
|
28
|
58.2
|
54
|
55.2
|
43
|
61.4
|
|
25.00 29.99
|
Grade 1 over weight
|
8
|
3.2
|
2
|
4.2
|
4
|
4.0
|
2
|
2.9
|
|
30.00 39.99
|
Grade 2 over weight
|
0
|
0.0
|
0
|
0
|
0
|
0.0
|
0
|
0
|
|
> 40.00
|
Grade 3 over weight
|
0
|
0.0
|
0
|
0
|
0
|
0.0
|
0
|
0
|
|
Total measured
|
223
|
100
|
48
|
100
|
105
|
100
|
70
|
100
|
Table 4. Indicators of nutritional status of all groups,
and of each of the gGroups (Z-score < -2.0 S.D.)
|
Indicator
|
All Groups
|
Group 1
|
Group 2
|
Group 3
|
|
No.
|
%
|
No.
|
%
|
No.
|
%
|
No.
|
%
|
| |
|
|
|
|
|
|
|
|
|
Wasting (weight-for -height)
|
29
|
16.7
|
5
|
16.1
|
12
|
16.9
|
12
|
16.9
|
|
Under weight (weight-
for- age)
|
71
|
40.8
|
13
|
41.9
|
22
|
31.0
|
36
|
50.7
|
|
Stunting (Height- for-
age)
|
69
|
39.7
|
12
|
38.7
|
23
|
32.4
|
34
|
47.9
|
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