Protein–energy malnutrition among preschool children in Oman: results of a national survey
D. Alasfoor,1 M.K. Elsayed,2 A.M. Al-Qasmi,3 P. Malankar,4 M. Sheth5 and N. Prakash6
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ABSTRACT: We assessed the prevalence of underweight, wasting and stunting among preschool children in Oman from March to December 1999. Within each region, samples of males and females in the age groups 0–5, 6–11, 12–23, 24–35, 36–47 and 48–60 months were drawn from the registers of health institutions and the weight and height/length of the children were measured. The total sample comprised 19 440 children; 9911 males and 9529 females. Data were analysed according to the World Health Organization protocols. The prevalence rates of wasting, stunting and underweight were 7.0%, 10.6% and 17.9% respectively at the national level. There were no sex differences.
La malnutrition protéinocalorique chez l'enfant d'âge préscolaire à Oman : résultats d'une
enquête nationale
RÉSUMÉ: Entre mars et décembre 1999, nous avons évalué la prévalence de l’insuffisance pondérale, de l’émaciation et du retard de croissance staturale chez des enfants d’âge préscolaire à Oman. Dans chacune des régions, nous avons prélevé dans les registres des établissements de santé des échantillons d’enfants des deux sexes appartenant aux tranches d’âge 0‑5, 6‑11, 12‑23, 24‑35, 36‑47 et 48‑60 mois et mesuré le poids et la longueur/taille des enfants. L’échantillon total englobait 19 440 enfants, à savoir 9911 garçons et 9529 filles. L’analyse des données a été effectuée conformément aux protocoles établis par l’Organisation mondiale de la Santé (OMS). À l’échelon national, les taux de prévalence de l’émaciation, du retard de croissance staturale et de l’insuffisance pondérale sont respectivement de 7,0 %, 10,6 % et 17,9 %. Il n’apparaît aucune différence liée au sexe.
1Department of Nutrition; 2Department of Health Information and Epidemiology; 3Department of Health Information and Statistics, 4Ministry of Health, Muscat, Oman (Correspondence to D. Alasfoor: omanmgrs@omantel.net.om).
5United Nations Children’s Fund, Muscat, Oman.
6Follow-up section, Directorate General of Health Affairs, Ministry of Health, Oman, Egypt.
Received: 13/07/05; accepted: 15/11/05
Introduction
Protein–energy
malnutrition (PEM) has been identified by the World Health Organization (WHO) as
the most lethal form of malnutrition, indirectly or directly causing an annual
death of at least 5 million children worldwide [1]. Estimates indicate
that 35.8% of preschool children in developing countries are underweight, 42.7%
are stunted and 9.2 % are wasted [2]. These children are at higher risk
of mortality and morbidity, and may carry adverse health and mental consequences
all through their lives. Most of them live in poor societies, and with impaired
physical and mental capacities they are bound to enter a vicious cycle of
poverty and malnutrition for generations to come.
The child
malnutrition rate in the Middle East has been reported to be 19%, with varying
rates, such as 39% in the Islamic Republic of Iran, 19% in Egypt, 8% in the
United Arab Emirates and 6% in Morocco [3]. The prevalence of underweight
in Oman was found to be 62.9% in 1980, and dropped to 24.4% and 23.6% in 1992
and 1995 respectively [4–6]. Although the prevalence of PEM declined by
almost two-thirds between 1980 and 1995, it is well above countries with
comparable health and economic indicators; consequently PEM is considered a
major public health problem in Oman.
This survey was a
collaborative effort of the Directorate General of Health Affairs, Departments
of Health Information and Statistics as well as the United Nations Children’s
Fund (UNICEF) and WHO country offices in Muscat, Oman. It was conducted to
generate baseline data on the prevalence of PEM among infants and children up to
the age of 5 years at both the national and regional levels. Specifically, the
study was designed to provide estimates of underweight, wasting and stunting
among male and female infants and young children in each of the age categories
of 0–5, 6–11, 12–23, 24–35, 35–47 and 48–60 months at the national and regional
levels.
Methods
Sampling and sample size
The sample was
selected from the total population of children between the ages of 0 and 5 years
in the child health registers of primary health care institutions in Oman
between March and December 1999. No national surveys have been conducted since
then. The coverage rate of the child health register was found to be 99.9% in
1995 [7]; therefore it was considered to be representative of the
population studied and therefore a suitable sampling frame. The health registers
of the sampled institutions in Muscat, Dhakhilia, Dhofar, North Sharqia, South
Sharqia, North Batina, South Batina, Dhahira, Musendem and Wusta were stratified
into age groups of 0–5 months, 6–11 months, 12–23 months, 24–35 months, 36–47
months, and 48–60 months.
Sample size
calculations were based on a minimum prevalence of underweight of 9%, precision
estimate of 25%, confidence interval of 95% and a 10% non-response rate. The
calculations were run on the STATCALC module of Epi-Info, version 6
software (WHO/CDC) and resulted in a national sample size of 9911 for males and
9529 for females, a total of 19 440 children.
In each region,
the regional hospital, a wilayat (district) hospital and a local hospital
were selected and 2 small and 2 large health centres were randomly selected. In
the first phase of the survey the plan was to distribute the sample as much as
possible; so in the first 2 regions all the health institutions were taken. This
was found to be extremely demanding and inefficient so for the rest of the
regions a sample of the health institutions was taken.
Thus for North and
South Sharqia all health institutions were included in the sample and weighting
was carried out to account for disproportionate sample sizes during data
analysis. Al Wusta region was excluded from the study because of logistic
problems; this did not affect the national estimates because of the small
population size in that region.
To ensure adequate
sampling, the most recent records of children in the child health register of
the selected institutions were reported to the Department of Statistics
categorized by age group and sex. These were randomized electronically using
multistage stratified cluster sampling. The strata were the regions and the
clusters were the institution levels within the regions, i.e. primary health
care centres and regional and wilayat hospitals.
The study sample
was drawn in the Department of Statistics 2 weeks before data collection in each
region to avoid shifting of age groups with time, which could result in
under-sampling of neonates. Systematic random sampling was used to sample
children and non-Omanis were replaced.
Equipment,
standardization and training
The UNICEF mother
and child weighing scale (UNISCALE) was the standard weighing scale used in this
survey. Children below 2 years were weighed in their mother’s arms and older
children were weighed standing. The Starter Baby Measure Mat was used to measure
the length of children below 2 years and the Leicester Portable Measure was used
to measure height of older children (both from CMS Weighing Equipment, United
Kingdom).
To calibrate the
weighing scales, sets of 5, 20-lb gym blocks were weighed to the 4th decimal
point in kilograms, and the weight of each block was pasted on it. The length
measuring equipment was calibrated against 60, 100 and 150 cm calibration rods
(CMS Weighing Equipment, United Kingdom).
The weighing and
measuring of children was carried out according to the recommended WHO protocol
[7]. A study manual of the methods, description of equipment,
calibration, recruitment, measurement and recording instructions was complied
and distributed to all the participants (master trainers and data collectors)
and used for training.
An international
anthropometric specialist introduced the master trainers (regional supervisors)
to the theory considerations of anthropometry through demonstrations and
individual practical sessions, a standardization exercise, and the calibration
and quality control procedures. WHO reliability sheets were used to calculate
the technical errors of measurement and biases of each observer (both master
trainers and data collectors), and feedback was given at the end of the session.
The group performed well; the average length measurement was 0.35 cm longer than
the gold standard and the average height measurements was 0.2 cm lower. The gold
standard was the data of the person who was considered the most experienced. So
during the master trainers training; the international consultant was the gold
standard. In data collectors’ trainings, the master trainer was considered the
gold standard.
All those involved
in data collection in each region were trained on the study methods, and went
through a standardization session before starting the data collection. The
regional supervisors and at least one member of the study team were responsible
for the training and giving individual feedback. Most of the data collectors
performed well during the standardization sessions; the few individuals who
displayed extreme bias were individually provided additional training.
Data collection
Information on
each subject in the sample was extracted from the MR2 registers and recorded in
the study enrolment booklets during training, along with the MR2 numbers, and
mother’s name, address and contact number. These data, as well as unique subject
numbers, were copied into the data collection booklets. Children were recruited
by telephone wherever possible, and the measuring took place at the health
institutions. The defaulters were followed up by telephone at least 2 times, and
if they were not reached by home visiting, they were declared non-respondents on
the form
(< 8%).
The study team in
each institution was composed of 2 trained anthropometrists, who conducted daily
measuring sessions from 08:00 to 12:00. Calibration of the equipment was
recorded before and after each session in log sheets. As the mother arrived at
the study site, she was asked to take off all the clothes of her child and to
dress him/her in a hospital gown. For each child, the 2 anthropometrists took
weight and height measurements and they exchanged the anthropometrist/assistant
roles for each measurement. The 2 measurements for each child were compared and
if the difference exceeded 100 g for weight or 0.5 cm for height/length, the
measurements were repeated. The regional supervisors paid regular visits to
different study sites to monitor the implementation of the manual of operations
and verify some measurements. In each region, infants at the age of 0–2 weeks
were measured at the beginning of data collection, and all children were
measured within 3 months of the beginning of data collection in that region.
The study forms
were reviewed by the regional supervisors and the study coordinators at the
central level for inconsistencies, completeness and pattern of measurements.
Data entry and analysis
Data entry was
carried out on Epi-Info, version 6 using a specially designed data entry
and check files. The Z-scores of weight-for-age, height-for-age and
weight-for-height were computed using the EPIANTH module of Epi-Info. The
reference population was the NCHS/WHO, and age was calculated by subtracting the
date of the anthropometric measurements from the date of birth.
A team of
statisticians from the Department of Statistics performed the data cleaning, and
preliminary analysis was done on the EPIANTH module of Epi-Info, where
the prevalence of wasting, stunting and underweight for each region was
calculated. Outliers were excluded in the analysis, and the files of all regions
were then merged to a master file. To account for the variability introduced by
unequal selection probabilities and response rates in cluster sampling, the
“CSAMPLE” module of Epi-Info was used to calculate the prevalence
estimates. A sample weight was calculated for each child, which was divided by
the child’s probability of selection, adjusted for refusal rates.
Results
The total sample
comprised 19 440 children; 9911 males and 9529 females. There were 1990 aged 0–5
years, 1990 aged 6–11 years, 3823 aged 12–23 years, 3801 aged 24–35 years, 4021
aged 36–47 years and 3815 aged 48–60 years.
Underweight
Moderate
underweight is indicated by weight-for-age lower than –2 SD of the median
reference NCHS/WHO population, and severe underweight is indicated by
weight-for-age lower than –3 SD of the same population. The prevalence of
underweight was estimated from those children falling below those cut-off
points, and the mean (SD) of the Z-scores were determined in order to assess the
distribution compared with the reference population (Table 1).
The prevalence of
underweight among all children was 17.9% with no significant difference between
males and females. At the age of 0–5 months, the prevalence of underweight was
2.7%, and the mean Z-score was almost the same as the reference population at
that age (–0.01). Underweight increased dramatically with age: it was 10.2% in
the age group 6–11 months, 21.4% for 12–23 months, 22.8% for age group 24–35
months and 20.4% for age group 36–47 months. After the age of 4 years,
underweight fell to 17.3%. Severe underweight was observed in 1.5% of all
children measured and showed the same age pattern (Table 1).

Stunting
Moderate and
severe stunting were assessed as the prevalence of height-for-age below –2 SD,
and –3 SD of the reference NCHS/WHO population respectively. The prevalence
estimates and Z-scores were calculated to assess the distribution of stunting by
age group and sex.
The overall
prevalence of stunting was 10.6%, with no significant differences between males
and females. Stunting peaked at the age of 12–23 months, and then fell to about
10%–11% for children of 24–59 months (Table 2).

Wasting
Wasting is an
indicator of current nutritional health status, and is directly influenced by
feeding behaviour, morbidity and house conditions. Moderate and severe wasting
were assessed as the prevalence of weight-for-height below –2 SD, and –3 SD of
the reference NCHS/WHO population respectively. Overall, 7.0% of all children in
the sample were below –2 SD of the reference population median (Table 3). The
prevalence of wasting among males was 7.8%, (CI: 6.7–8.9) whereas the prevalence
among females was 6.2% (CI: 4.8–7.5), a non-statistically significant
difference. The highest levels of wasting were observed among infants age 12–23
months where severe wasting was seen in 1.3% of the children compared with 0.3%
and 0.2% in the 0–6-month and 48–59-month age groups respectively. The rate of
moderate wasting was also higher among the age group 12–23 months (12.5%) than
other age groups (Table 3).

Regional estimates
The prevalence of
malnutrition indicators varied between regions of Oman. North Sharqia had the
highest levels of PEM as 26.6% of the children in that region were underweight,
14.8% were stunted and 9.8% wasted. Dhakhilia, South Batina and Musendem had
comparable results where 22.9%, 22.2% and 21.5% of the children respectively
were underweight. Dhofar had the lowest levels of PEM; underweight in that
region was 7.9%, stunting 5.5% and wasting 4.0 % (Figure
1).


Age trends
The prevalence
rates of all the indicators of malnutrition were lower than 5% in the age group
0–5 months; underweight rates increased rapidly to 10% in the age group of 6–11
months, to > 20% in the age groups 12–23 and 24–35 months. It declined slowly
after the age of 3 years.
Stunting increased
gradually up to the age of 2 years where it was > 10%; then it declined
gradually. Wasting, however, increased sharply between the age of 12 and 23
months, and then declined.
Discussion
Child nutritional
status is an important indicator of health and development in countries. The
Millennium Declaration signed by 189 countries in 2000 set a target of halving
the prevalence of underweight of children under the age of 5 years by the year
2015 [8,9].
In Oman, the
prevalence of underweight is considered a public health problem of medium
importance at the national level, but this varies between regions. Some have a
high prevalence of underweight (> 20%) such as North Sharqia, Dhakhilia, South
Batina and Musendem, whereas Muscat, Dhahira, North Batina and South Sharqia
have a medium prevalence (10%–20%). Dhofar has the lowest prevalence of
underweight (< 10%).
At the national
level, stunting in Oman is considered in the “poor” category, and all regions
except Dhofar fall in that category [10]. When compared to previous
studies, it is evident that PEM had declined markedly since 1980; De Onis et al.
reported a 1% annual reduction rate of stunting [11]. This trend was
found to be consistent from 1991 up to 1999. In 1991, stunting was reported to
be 20.7% and it declined to 15.7% in 1995 and we found it to be 10.7%.
The prevalence of
child malnutrition in the Middle East has been reported to be 19%; the countries
with the lowest rates being the United Arab Emirates (8%) and Morocco (6%) [3].
Those countries are considered to have comparable economic and social conditions
to Oman; however they appear to have a much better child nutritional status.
Malnutrition not only compromises the health status of children and has an
impact on child mortality but it can also impair the physical and mental
capacity of the individual, which in turn could have a considerable economic
impact on society and nations [12].
PEM is a result of
a spectrum of social and economic factors. The Ministry of Health in Oman is
taking active steps towards establishing public health interventions that take
both clinical and social factors into consideration. Breastfeeding and
complementary feeding support, early screening and management of PEM cases as
well as social marketing to advocate and create awareness about the problem and
its prevention are part of these efforts. In order to achieve the objectives of
the Millennium Development Goals these efforts should continue at the same level
of commitment and drive, in addition, support and collaboration from all sectors
of the community is essential.
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