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PEDIATRICS Vol. 102 No. 4 October 1998, p. e45
,
From the * Department of Food Science and Technology, Makerere
University, Kampala, Uganda; the Hugh Sinclair Unit of Human
Nutrition, Department of Food Science and Technology, the University of
Reading, Whiteknights, Reading, United Kingdom; the § Department of
Applied Statistics, the University of Reading, Reading, United Kingdom;
and the Department of Paediatrics and Child Health, Makerere
University Medical School, Kampala, Uganda.
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ABSTRACT |
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Top
Abstract
Methods
Conclusion
References
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Objective. To assess the dietary and environmental factors influencing stunting and other signs of poor nutritional status of children <30 months of age in a central Ugandan community, whose main dietary staples are banana (matoki) and maize.
Methods. The study was a cross-sectional survey using stratified multistage random sampling to select households with a child <30 months of age in rural and semi-urban environments. A questionnaire was administered to mothers of 261 infants and toddlers in their home setting. Their health status was assessed by clinical examination and anthropometric measurements (mid-upper arm circumference [MUAC], weight, and supine length).
Results. A large minority (21.5%) of the children surveyed were found in poor health after clinical examination: 3.8% being classified as suffering from kwashiorkor and 5.7% with marasmus. A high proportion of children were stunted (23.8%), underweight (24.1%), or had low MUAC (21.6%). Although rural living, poor health, the use of unprotected water supplies, lack of charcoal as fuel, lack of milk consumption, and lack of personal hygiene were shown as risk factors for marasmus and underweight, different factors were found to be associated with risk of stunting and low MUAC, despite these three parameters being significantly correlated. For stunting the risk factors were: age of the child, poor health, prolonged breastfeeding (from >18 months to <24 months), low socioeconomic status of the family, poor education of the mother of infants <12 months, lack of paraffin as fuel, consumption of food of low energy density (<350 kcal/100 g dry matter), presence of eye pathology, and consumption of small meals. Risk factors for low MUAC were poor health, lack of meat and cow's milk consumption, low intake of energy from fat, and less well educated and older mothers. Food taboos had no influence on any of the anthropometric measurements. Although 93.1% of the children had been immunized against tuberculosis, polio, diphtheria, and measles and showed better general health than children who were not immunized, there was a high prevalence of infection in the week preceding the survey interview, including diarrhea (23.0%), malaria (32.3%), or cough/influenza (72.8%).
Conclusions. This first account of dietary and environmental risk factors involved in the etiology of early childhood malnutrition in Uganda indicates differences in risk factors for marasmus and underweight compared with stunting and low MUAC. The high prevalence of malnutrition and current infection of children in this survey suggests poor immune function as a result of inadequate nutrition. Key words: infection, malnutrition, risk factors, stunting, survey, Uganda.
Nutrition and health reports in Uganda have indicated that
although the country is well endowed with adequate food supplies, a
large proportion of children <5 years of age are
malnourished.1 The 1988/1989 Uganda Demographic and
Health Survey showed that almost half of the children <5 years of age
were stunted (45.5%) and almost one quarter were underweight (23%).
The consequences of long-term nutritional deprivation are many and
complex but ultimately culminate in ill health and death. It has been
reported that ~60% of all deaths of children <5 years of age in
Uganda are directly or indirectly attributable to
malnutrition.2 Although the causes of malnutrition are
complex and multidisciplinary, dietary and environmental factors do
play a major role. It has been reported that dietary
factors,3-5 factors concerning the mother,6,7
and socioeconomic/environmental factors8,9 may contribute
to the risk of malnutrition in children in developing countries. A
cross-sectional study-survey was, therefore, undertaken to determine
the nutritional status of infants and young children (0-30 months of
age) in the banana/maize zone of Central Uganda and to assess the
dietary and related factors influencing the nutritional status of the
children.
Study Participants
Study participants were infants and young children, age 0 to 30 months, from Busimbi subcounty in Mityana county, Mubende district,
Central Uganda. Mubende district was selected because of the dominant
use of starchy staples [green cooking banana (locally known as
matoki), cassava, potatoes, sweet potatoes, and maize] in weaning
foods; staples well known for their high dietary bulk and low energy
density. Stratified multistage random sampling was used to select the
primary sampling units Methods of Investigation
A comprehensive, precoded questionnaire was validated by the
jury method7 and piloted before the study in a similar setting. The questionnaires were administered to the respondents, preferably the mothers of the children, in their home settings by the
principal researcher and assistants who trained following published
guidelines.10 The questionnaire was translated into the
local languages at the time of administration. The age of the children,
to the nearest month, was obtained through birth certificates and
health cards, taking precautions to minimize field
errors.11
Nutritional Status Assessment
The health of the children was assessed by clinical examination.
The presence of edema was determined by the pitting
method.12 The presence of diarrhea, measles, malaria,
or cough/influenza was assessed according to symptoms of the child in
the week before the interview as described by the mother. Because this
estimate of disease was unsubstantiated by laboratory analyses, only
data for diarrhea were subjected to statistical analysis, although the
symptoms associated with the other diseases are commonly known throughout Uganda. The height, weight, and mid-upper arm circumference (MUAC) were measured following recommendations.1012-14 Weight measurements were taken to the nearest 0.1 kg using a
standardized 25 kg Salter Spring Balance (Salter Weight-Tronix Ltd,
West Bromwich, West Midlands, UK). Measurements of supine or recumbent
length were taken to the nearest 0.1 cm using the Short Infant/Child Height Measuring Board (Short Productions, Woonsocket, RI). The mid-upper point of the child's left arm was located by measuring the
distance between the tip of the shoulder blade and the tip of the elbow
and dividing the distance by two. MUAC was measured using a nonstretch,
tear-resistant Insertion Tape supplied by TALC (Teaching Aids at Low
Cost, St Albans, UK).
Dietary Assessment
The children's diet was assessed through a variety of methods;
a diet history questionnaire, a 24-hour food recall, and a food
frequency questionnaire, all of which were incorporated into the main
questionnaire. Duplicate samples of ready-to-feed weaning foods were
requested from the mothers during the interviews, these foods were
dried and later analyzed for nutrient content and energy density. These
samples were collected and analyzed individually and used as a proxy
for usual diet.
Data Analysis
The dataset comprised 261 observations with 378 variables and
was analyzed with SAS (Statistical Analysis System; SAS Institute, Inc,
Cary, NC). Two-way and three-way cross-tabulations were performed on
some selected variables (bivariate analyses). Statistical significance was determined using Pearson's The Health Status of the Children
Most of the children (93.1%) were reported as immunized and of
these, 81.6% had immunization cards. Cross-tabulation showed that
immunized children had significantly (P = .014)
better general health than children who were not immunized. The area of
residence (rural/urban) had a significant (P = .004) influence on the immunization status of the children with all the
children from the urban areas having been immunized. Children from
dirty households and those whose families obtained water from
unprotected sources had a lower (P = .042 and
P = .007, respectively) prevalence of immunization than
more fortunate children.
Diarrheal diseases kill an estimated 3 million children each year in
developing countries.16 Diarrhea prevalence was high among
the children studied, with 23.0% of the children having had an episode
of diarrhea during the week preceding the interview. In
cross-tabulations, children who had malaria or measles in the week
preceding the interview had significantly (P Malaria kills an estimated 0.8 million children in Africa
alone.16 In the week preceding the interview, 32.2% of the
children had had an episode of malaria. Measles kills an estimated 1 million children per year,16 and precipitates the onset of
malnutrition.17 However, only 5.7% of the children in this
study had had measles, although 72.8% had had cough and/or influenza
in the week preceding the study.
The Nutritional Status of the Children
Growth and development of children <5 years of age are influenced
more by environmental factors, particularly diet, than by genetic or
ethnic origins.18,19 Hence, an international reference
population was used to assess the nutritional status of the children in
this study.20
Prevalence of Kwashiorkor
Kwashiorkor is one of the most severe forms of protein-energy
malnutrition (PEM) in children in developing countries. The condition
is aggravated by repeated infections, especially diarrheal diseases.
Edema must be present before a nutritional deficiency is classified as
kwashiorkor.21,22 On this basis, only 10 children
(3.8% of the total sample) were classified as having kwashiorkor (Fig
1), which was insufficient for detailed
cross-examination. Although the total number of children of the mother
had no significant influence on the rate of kwashiorkor, children whose
mothers had three children <5 years of age had more
(P = .019) kwashiorkor than those whose mothers
had two children in the same age range.
METHODS
Top
Abstract
Methods
Conclusion
References
the households. A household was defined as a
group of people living, cooking, and eating together. Eighteen villages
(clusters) were randomly selected from 5 parishes in Busimbi subcounty
and all the households with a child <30 months of age had an equal
chance of participating. A small sample of 3 clusters from Mityana
town, representing the semi-urban environment, was also studied. A
total of 261 children, 183 (70%) from rural areas and 78 (30%) from
semi-urban environments, was studied.
2 test. Correlation
analysis was done using Pearson correlation coefficients. The risk
factors for malnutrition of the children were further investigated
using logistic regression analysis15 using the Genstat
package (Numerical Algorithms Group, Oxford, UK).
RESULTS AND DISCUSSION
.0001 and P = .025, respectively) greater chances of
having diarrhea than children who had not had these illnesses.
Proportionately, children from the urban areas had significantly
(P = .051) greater prevalence of diarrhea in the
week preceding the study-survey than children from the rural areas.
View larger version (47K):
[in a new window]
Fig. 1.
Prevalence of malnutrition among 261 Ugandan children
(n = 261 except for mid-upper arm circumference
(MUAC) where n = 208).
Prevalence of Marasmus
Marasmus was defined in this study as a weight-for-age of <3
standard deviations (SD) from the mean of the reference population for
weight-for-age according to gender and with no visible edema. Fifteen
children (5.7% of the total sample) were found to be marasmic (Fig 1),
an insufficient number to allow extensive cross-examination. Nevertheless, it was found that children classified as unhealthy by
clinical examinations had a higher incidence (P .0001) of marasmus than those classified as healthy (19.6% vs
2.0%, respectively), both in rural and urban areas. Overall, children
from rural areas had a higher incidence of marasmus
(P = .043) than those from urban areas. When
area of residence was controlled for, it was found that rural children
who had had an episode of diarrhea in the week preceding the survey had
greater (P = .023) incidence of marasmus and the
condition was more prevalent (P = .039) in twins
than singletons.
The fat content of the weaning foods marginally (P = .050) influenced the marasmus status of the children, but none of the urban children whose food supplied >15% of energy from fat was marasmic. Children who had never consumed cow's milk had a higher incidence (P = .004) of marasmus than children who were milk consumers even in rural areas, and no marasmus was found among children from meat-eating households. Families who used water from protected sources and those who used charcoal as their main source of fuel had significantly (P = .028, P = .038, respectively) lower rates of marasmus among their children than their less fortunate counterparts.
Prevalence of Low MUAC
The MUAC of 208 of the younger children was measured. Children
were classified as having low MUAC if measurements were smaller than
135 mm. Low MUAC was found in 21.6% of the children (17.2 of the total
sample). There was a positive and significant correlation between MUAC
and height (r = 0.334, P .0001) and MUAC and weight (r = 0.680, P = .004). However, the correlation between MUAC and age, although positive, was not significant (r = 0.07, P = .304), emphasizing the age-independent nature
of the MUAC index. Vella,23 working in southwestern Uganda,
found that low MUAC was the most sensitive predictor of mortality among
the children in a 2-year prospective study. Siddique and
Abengowe24 found that the prevalence of low MUAC among
rural children (n = 561) in the savanna belt of
Nigeria, correlated significantly with anthropometric indicators.
Cross-tabulation showed that general health significantly
(P .0001) influenced the MUAC: those children
classified as healthy had higher MUAC in both rural and urban areas.
Children who had never consumed cow's milk had significantly
(P = .006) higher rates of low MUAC, especially
in rural areas. Families (both rural and urban) whose diet regularly
included meat and urban families who derived >25% of their energy
from fat had no child with low MUAC. The age of the mother had a
significant (P = .005) influence on the MUAC of
the child, with children of older mothers having proportionately higher
rates of low MUAC. After controlling for area of residence, education
of the mother became significant (P = .006) for
MUAC, with none of urban mothers who had completed the primary level of
education having a child with low MUAC. The occupation of the mother
had a significant (P = .046) effect on MUAC
status with more children of housewives having lowest MUAC than those
of women with other occupations.
Prevalence of Stunting
The term "stunting" was introduced by J. C. Waterlow25 in the 1970s to describe the linear growth retardation that results in children being very short for age as a result of prolonged nutritional deprivation coupled with repeated infections. Stunting, sometimes known as chronic malnutrition, is a very serious type of malnutrition in that it develops slowly throughout time before it is evident. When the majority of the children in a community are stunted the problem may not be obvious without height measurement matched against age. Uganda has been reported to have one of the highest rates of childhood stunting in Africa.26-28
In this study, the World Health Organization20 recommended classification of stunting using the United States National Center for Health Statistics reference population was adopted. A child was classified as stunted if his/her height was 2 SD or more below the median of the reference population for height-for-age and gender. Although children <2 years of age had their supine (recumbent) length measured, the word height is used here to refer to both standing and supine length. Nearly a quarter of the children (23.8%) were short for age (Fig 1) and 6.9% were extremely stunted (>3 SD below the reference). Figures 2A and 2B show the height-for-age of girls and boys, respectively, showing values for all children to be below the median reference at all ages. These findings are in agreement with reports of other workers in Uganda.2,8
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Prevalence of Underweight
Children were classified as underweight if <2 SD of the mean reference value (United States National Center for Health Statistics reference population20) for weight-for-age and gender; by this criteria, 24.1% were underweight (Fig 1). Figures 3A and 3B show the mean weight-for-age of the children at all the ages studied and illustrates, again, how the weights of the children remained below the reference median throughout the age range studied for both girls and boys.
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Prevalence of Wasting
A child whose weight-for-height measurements were <2 SD of the median of a reference population for weight-for-height and gender was classified as wasted. Wasting is usually used as a measure of recent nutritional problems especially after an illness, particularly diarrhea, but in this study only 2 (0.8% of total sample) children were affected (Fig 1).
Factors Influencing Stunting and Underweight
There were sufficient children in the stunted and underweight groups (61 and 62 children, respectively) to allow for extensive cross-examinations with a number of factors by bivariate analysis and the results of this analysis are given below.
Influence of Demographic and Health-related Factors
Older children showed a higher incidence of stunting than younger
children (P .0001) (Table
1) in both rural
(P .0001) and urban (P = .011) areas. However, age had no effect on the incidence of
underweight nor had gender or birth order any influence on the
prevalence of stunting or the prevalence of underweight. Poor health
status (clinical examination) was important (P .0001) in increasing the incidence of both stunted and underweight
children (Table 1). Stunted children showed greater
(P .0001) incidence of underweight and
marasmic children showed greater incidence of stunting
(P .0001) and underweight
(P .0001). All the children who were marasmic
were stunted. Wasted children showed greater (P = .012) incidence of underweight and children with low MUAC were
significantly more stunted (P .0001) and
underweight (P .0001).
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Influence of Weaning Practices and Other Dietary Factors
Neither current breastfeeding nor the age of weaning influenced
the incidence of stunting or underweight but the age of termination of
breastfeeding or duration of breastfeeding greatly
(P .0001) influenced stunting; children who
were breastfed for prolonged periods (>18 months and up to 24 months)
having greater incidence (Table 1) in both rural
(P = .045) and urban (P = .003) areas. Children who had never consumed milk showed a higher
incidence (P = .041) of underweight (Table 1).
Children who were fed foods of low energy density (kcal/100 g dry
matter) had greater (P = .031) incidence of
stunting but not underweight (Table 1). Food taboos had no influence on
either the rate of stunting or underweight.
Influence of Mother and Household/environmental Factors The age of the mother, occupation, parity, and number of children <5 years of age had no effect on the prevalence of stunting or underweight. Education of the mother had no significant influence on the nutritional status of the children, but when age of the child was controlled for, it showed that better educated mothers had less stunted children (P = .045). Indeed, none of the infants (<12 months of age) of mothers who had completed the primary level of education were stunted. Similar positive association between education of the mother and the stunting or general health of the children have been reported from Uganda8,9,29 and Bangladesh.30
Children from rural areas were more underweight (P = .031) than those from the urban areas (Table 2). Children from very low economic status families being more stunted (P = .034) than those from lower or middle status families (Table 2). Only when area of residence was controlled for, however, did the economic status of the family became significant (P = .014) for underweight with urban, but not rural, children from lower socioeconomic status households showing more underweight.
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Further Analysis of the Risk Factors for Stunting and Underweight by Logistic Regression Analysis
In addition to the bivariate analysis using
cross-tabulations, further investigation into the risk factors for
malnutrition of children in Uganda was performed using logistic
regression analysis. The nutritional status indicators chosen as the
dependent variables for this investigation were stunting and
underweight. A stepwise logistic regression analysis was performed
following the methods of Collett.15 Several logistic
regression models were created and compared using the change in
deviance compared with the 2 distribution at the 5%
level. The factors that emerged as significant influencers of
malnutrition of the children are presented in Table
3. The risk of a child being stunted or underweight relative to the exposure variables identified by the logistic regression model was
determined using the odds ratio statistic (Table 3).
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The risk of older children being stunted relative to younger children were high: 6 times for those in the 12- to 18-month age range and 10 times for those in the >18-month age range. This is in agreement with other studies undertaken in Uganda.8,9 The risk of healthy children being stunted or underweight was low relative to unhealthy children. Children who had pathologic problems with their eyes indicative of nutritional deficiencies were at a higher risk of being stunted relative to children with healthy eyes. The risk of stunting was low for children who were breastfed to 18 months compared with those who were breastfed only in early infancy. However, continuation of breastfeeding >18 months up to 24 months increased the risk of stunting almost sevenfold. The same observations have been made by others in The Gambia,31 in Zambia,32 in India,33 and in Uganda,9 and may be because of insufficient breast milk and underfeeding the child.34 However, continuation of breastfeeding >24 months decreased the risk of stunting considerably in agreement with previous findings in Zambia,32 possibly because the child is big enough at that age to consume family food normally. The children who consumed more food per meal had a lower risk of stunting relative to those who consumed small quantities of food.
Children from the urban areas had a lower risk of being underweight relative to children from the rural areas. The children from households with a low or very low socioeconomic status had two and one-half times the risk of being underweight relative to children who came from households with a middle to upper socioeconomic status. The children whose homes used water from protected sources had a lower risk of underweight relative to children whose homes used water from unprotected sources. This is in agreement with the findings in northwestern Uganda.9 Children who had never consumed cow's milk had twice the risk of being underweight relative to those who consumed cow's milk regularly.
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CONCLUSIONS |
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Abstract
Methods
Conclusion
References
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In this survey of children <30 months old in rural and semi-urban communities of central Uganda, >20% were found in poor health by clinical examination. Other markers of nutritional status also indicated poor health. Of the group studied, ~25% were stunted and ~25% were underweight. Severe PEM was found in >5% of children. Whereas longer birth spacing was shown to reduce the risk of kwashiorkor, rural living, the use of unprotected water supplies, lack of charcoal as fuel, and lack of milk consumption, increased the risk of marasmus.
Bivariate analysis showed that risk factors for underweight were similar to the risk factors for marasmus. These were rural living, poor health, use of unprotected water supplies, lack of charcoal as fuel, and lack of personal hygiene. Further analysis of the data by logistic regression showed that lack of milk consumption was an additional risk factor.
Bivariate analysis showed that risk factors for stunted growth differed markedly from those for marasmus and underweight. They were older age, poor health (assessed by clinical examination), prolonged breastfeeding, low socioeconomic status of the family, lack of paraffin as fuel, and consumption of food of low energy density. Further analysis of the data by logistic regression showed that the presence of eye pathology and consumption of small meals were additional risk factors. The reason for the differences in risk factors for stunting and underweight are not known.
Although immunization against the major killer diseases of childhood had been achieved in >90% of the children surveyed and the incidence of measles was low, many were recorded as having diarrhea, malaria, or cough/influenza, in the week preceding the survey. This indicates widespread prevalence of poor immunocompetence among the children studied consequent on poor nutrition, a finding that warrants further investigation using methodologies to assess immune function.
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FOOTNOTES |
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Received for publication Oct 13, 1997; accepted Apr 21, 1998.
Reprint requests to (A.F.W.) Hugh Sinclair Unit of Human Nutrition, Department of Food Science and Technology, the University of Reading, PO Box 226, Whiteknights, Reading RG6 6AP, United Kingdom.
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ACKNOWLEDGMENTS |
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The study was supported by funds from the World Bank through the Uganda National Agricultural Research Organization.
We thank Mr Richard Kajura and Mr Richard Basalirwa for technical assistance during the field work. We are also grateful to advice on computer software use and data handling from staff of the Department of Applied Statistics, the University of Reading.
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ABBREVIATIONS |
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MUAC, mid-upper arm circumference; PEM, protein-energy malnutrition; SD, standard deviation.
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REFERENCES |
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