1000
Asia Pacific J Clin Nutr (1997) 6(4): 260-264
Asia Pacific J Clin
Nutr (1997) 6(4): 260-264

Malnutrition
and its risk factors among children 1-7 years old in rural Malaysian
communities
M Norhayati1 PhD, MI NoorHayati1
MPH, CG Mohammod1 ScD, P Oothuman1
PhD, O Azizi2 MRCP, A Fatimah3 PhD, MS Fatmah1
1Department of Parasitology
and Medical Entomology,
2Department of Paediatrics, Faculty of Medicine,
Universiti Kebangsaan Malaysia
3Department of Dietetics, Faculty of Allied
Health Sciences, Universiti Kebangsaan Malaysia
The aims of this study were to investigate the nutritional
status of children aged 1-7 years in Malaysian rural communities
and to identify its risk factors. In all, 221 children were assessed
using anthropometric measurements, dietary questionnaires and other
tools. Weight-for-age, height-for-age, weight-for-height
were analysed. Based on the NCHS standards, the overall prevalence
of underweight, stunting and wasting was 46.2%, 18.1% and 30.3%
respectively. Almost one-third of the 1-2 years old groups were
malnourished. Univariate analysis identified household income £ MR750.00 as a significant risk factor of stunting and wasting.
Key words: malnutrition, underweight,
stunting, wasting, children, West Malaysia, Malay Villages, Labu,
Dengkil, socioeconomic factors, birthweight, parasitosis
Introduction
Studies on the nutritional status of preschool and
primary school children in the 1970s have shown that mild to moderate
malnutrition was widespread in both urban and rural areas in Malaysia1-3.
Stunting or chronic malnutrition was more common among primary school
children from squatter-urban areas1 and wasting or acute
malnutrition was more prevalent among Malay children living in rural
villages and in urban flats4. Over the years, Malaysia
has shown an upward trend towards improvement in health status of
the population5. However, recent studies show that prevalence
of malnutrition among preschool and school children is still high6-11.
A number of studies in developing countries have investigated
the variables which are associated with, and possible determinants
of, child growth. Studies have shown that in developing countries
the nutritional status of children has a significant inverse relationship
with house 1000 hold income10,12,13. Socioeconomic factors
such as household income, the education level of parents, distribution
of food in the family13-17, demographic factors14,16,
immunisation status and childhood illness17, intestinal
parasitoses11,18, and childhood nutrition11,15,19
also have significant association with the nutritional status of children.
A significant decrease in weight-for-age with increasing number
of parasitic infections per child has been observed among 3-8 years
old children in Thailand18.
The aims of this study were to explore the problems
of malnutrition among children aged 1-7 years in rural communities
in Malaysia, to determine to earliest occurrence of malnutrition in
this community and to identify some selected risk factors related
to malnutrition in this age group.
Materials
and methods
This study was carried out in rural Malay villages
in sub district Labu and Dengkil, located about 70 km
from Kuala Lumpur. The villages were chosen using the following criteria:
the main economic activities of the villagers were agricultural, mean
household incomes were low, worm infestation was evident and the villages
were located near Aboriginal villages (this study is part of a bigger
study involving the Aboriginal community). After discussions with
the health officer of the district and sub district officer, villages
with the above criteria were selected. The majority of residents were
estate labourers, drivers and farmers. Households or families who
had children 1-7 years old were identified and the families were invited
to attend a health and worm infection exhibition held by the authors
in the villages. In all, 221 children, 113 males and 108 females,
aged 1-7 years old who attended the exhibition were included in this
study.
The sociodemographic data was obtained using a questionnaire.
Nutrient intake was assessed with a combination of the 24-hour dietary
recall and food frequency methods. A nutrition intake profile for
7 days was obtained and aver-aged. The household measurement utensils
such as cups, tablespoons, teaspoons and Chinese bowls were used by
interviewers to help the parents in recalling and quantifying their
food intake. Ages of the children were confirmed by examining their
birth certificates. Stools were collected and examined for the presence
of eggs and larva of Ascaris, Trichuris and hookworm
using Kato-Katz and Harada-Mori techniques. Anthropometric measurements
were done as follows: children were weighed without shoes using a
bath-room scale which had intervals of 0.5 kg; height was measured
by standing the child against a vertical wall, and marking off on
the wall with the aid of clipboard.
The Z-score for weight-for-age was used to
denote underweight as an overall indicator for malnutrition. Height-for-age
Z-score was used as an indicator for stunting. Weight-for-height
Z-score was used as an indicator for wasting (acute malnutrition).
The Z-scores were calculated based on the median values of the United
States National Center for Health Statistics (NCHS) Reference Population.
In this study, children who had Z-scores below -2 standard deviations
(SD) of the NCHS Reference Population median were considered significantly
malnourished, and Z-scores between -1 and -2 SD were mildly malnourished.
The Z-scores for weight-for-age, height-for-age and
weight-for-height were derived using EpiNut Anthropometry (Epi
Info, version 6.02, 1994)20.
Other analyses were done using Epi Info (version 6.02,
1994)20 and SPSS for Windows (version 6.0, 1993)21.
The dependent variables were the Z-scores for weight-for-age< 1000
/i>, height-for-age and weight-for-height and the independent
variables were the education levels of the father and mother, employment
status of the mother, household income, family size, mean percentage
nutrient requirement (energy and protein intakes) and worm intensity
of infection.
Results
Demographic
characteristics
Two hundred and twenty one children (113 boys; 108
girls) aged between 1-7 years with a mean age of 4.0 (SD:1.8) participated
in this study. The average family size was 6.2 (SD:1.9) persons per
household and mean monthly house-hold income of MR 728.10 (SD:490.20).
Almost all (97.6%) of the heads of the family had formal education
of at least 6 years. Only 7.1% of the mothers had no normal education.
About two-thirds (69.2%) of the mothers were full-time housewives.
The general characteristics of the children according to age and gender
are shown in Table 1.
Table 1. General characteristics of children
aged 1-7 years in rural areas in Malaysia
|
Age (years)
|
|
|
1-2
|
3-4
|
5-7
|
p
|
|
Mean (SD)
|
Mean (SD)
|
Mean (SD)
|
|
Males |
|
|
|
|
Weight (kg) |
9.5 (1.7)
|
13.7 (2.6)
|
16.2 (3.4)
|
0.0000ac
|
Height (cm) |
79.6 (14.1)
|
97.3 (7.4)
|
107.9 (17.1)
|
0.0000bc
|
Mean Z-score |
|
|
|
|
Weight-for-age |
-2.3 (1.0)
|
-1.5 (1.0)
|
-1.8 (1.1)
|
0.0074ac
|
Height-for-age |
-1.3 (1.1)
|
-1.0 (1.0)
|
-1.2 (1.1)
|
0.5307a
|
Weight-for-height |
-1.9 (0.9)
|
-1.1 (1.2)
|
-1.4 (1.1)
|
0.0473bc
|
Females |
|
|
|
|
Weight (kg) |
9.2 (2.7)
|
13.0 (2.5)
|
16.0 (3.5)
|
0.0000ac
|
Height (cm) |
78.7 (18.6)
|
97.5 (6.0)
|
107.9 (6.5)
|
0.0000bc
|
Mean Z-score |
|
|
|
|
Weight-for-age |
-1.86 (1.3)
|
-1.8 (1.1)
|
-1.4 (1.5)
|
0.3487a
|
Height-for-age |
-0.87 (1.6)
|
-0.94 (1.1)
|
-1.1 (1.1)
|
0.7079a
|
Weight-for-height |
-1.6 (0.9)
|
-1.5 (1.2)
|
-1.2 (1.1)
|
0.3978b
|
a: one-way ANOVA; b: Kruskal-Wallis
1-way ANOVA; c: significant
Nutrient
intake
The actual nutrient intakes were compared to recommended
daily intakes (RDI) for Malaysia22. In general, the intake
of protein, vitamin A and ascorbic acid were adequate or higher than
the Malaysian RDI. However, the intakes of energy, calcium, iron,
thiamin, riboflavin and niacin were below the RDI. Children aged 1-3
years had better nutrient intake compared to children aged 4 years
and above (Table 2).
Table 2. Nutrient intakes among children aged
1-7 years in rural areas in Malaysia
Nutrient |
Age (years)
|
|
1-3
|
%RDI
|
4-6
|
%RDI
|
7-9
|
%RDI
|
|
Mean (SD)
|
|
Mean (SD)
|
|
Mean (SD)
|
|
Energy (kcal) |
900
|
66
|
1085
|
59
|
1306
|
60
|
|
(401)
|
|
(370)
|
|
(476)
|
|
Protein (g) |
36.2
|
157
|
37.5
|
129
|
43.5
|
124
|
|
(20.1)
|
|
(16.1)
|
|
(16.5)
|
|
Calcium |
439
|
98
|
259
|
58
|
262
|
58
|
(mg) |
(430)
|
|
(178)
|
|
(117)
|
|
Iron (mg) |
4.9
|
49
|
7.0
|
70
|
9.0
|
90
|
|
(3.1)
|
|
(3.9)
|
|
(5.0)
|
|
Vitamin A |
383
|
153
|
334
|
111
|
405
|
101
|
(m g) |
(316)
|
|
(248)
|
|
(236)
|
|
Thiamin |
0.6
|
120
|
0.5
|
71
|
0.6
|
67
|
(mg) |
(0.5)
|
|
(0.3)
|
|
(0.2)
|
|
Riboflavin |
1.04
|
130
|
0.7
|
64
|
0.7
|
54
|
(mg) |
(0.9)
|
|
(0.4)
|
|
(0.4)
|
|
Niacin (mg) |
5.3
|
59
|
4.8
|
40
|
5.4
|
37
|
|
(3.9)
|
|
(2.7)
|
|
(2.5)
|
|
Ascorbic |
25.6
|
128
|
37.3
|
187
|
45.5
|
228
|
acid (mg) |
(27.8)
|
|
(52.7)
|
|
(76.8)
|
|
Anthropometric
measurements
The prevalence of malnutrition based on the Z-scores
of weight-for-age, height-for-age and weight-for-height
is presented in Table 3. Twenty two percent of children had normal
weight-for-age (ie Z-scores >-1.0). The overall prevalence
of mild and significant underweight was 31.7% and 46.2%, respectively.
There were no significant differ-ences in the prevalence of underweight
among age-groups and between genders. However, the prevalence of mild
and significant underweight increased with age. From these data, underweight
seemed to occur very early in life; about one-quarter (25.7%) and
one-third (30.4%) of children between 1-2 years had mild and significant
underweight respectively.
Table 3. Prevalence of malnutrition among children
aged 1-7 years in rural areas in Malaysia.
Age |
Criteria
|
(years) |
Underweight*
|
Stunting*
|
Wasting*
|
|
Mild
|
Significant
|
Mild
|
Significant
|
Mild
|
Significant
|
|
N (%)
|
N (%)
|
N (%)
|
N (%)
|
N (%)
|
N (%)
|
1-2 |
18(25.7)
|
31(30.4)
|
21(25.3)
|
13(32.5)
|
22(24.7)
|
25(37.3)
|
3-4 |
21(30.0)
|
26(25.5)
|
24(28.9)
|
7(17.5)
|
29(31.8)
|
13(19.4)
|
5-7 |
31(44.3)
|
45(44.1)
|
38(45.8)
|
20(50.0)
|
40(44.0)
|
29(43.3)
|
Total |
70(31.7)
|
102(46.2)
|
83(37.6)
|
40(18.1)
|
91(41.2)
|
67(30.3)
|
Z-score = (-2 to -1.01) = Mild underweight, stunting
and wasting; (< -2) = significant underweight, stunting and wasting
The prevalence of mild stunting was 37.6%, while another
18.1% had significant stunting. Nevertheless, about one-half (44.3%)
of children were not stunted (height-for-age Z-scores >-1.0).
There was no significant difference in the prevalence of stunting
among the various age-groups and between genders. As with the underweight
children, the prevalence of mild stunting also increased with age
except in the significant stunting group. Stunting also occurred early
in life (1-2 years old); ie 25.3% and 32.5% of the children had mild
and significant stunting, respectively.
The prevalence of mild wasting was 41.2%, while another
30.3% had significant wasting. About one-third (28.5%) of children
were not wasted (weight-for-height Z-scores > -1.0). There
was no significant difference in the prevalence of wasting among the
various age-groups and between genders. As with the underweight children,
the prevalence of mild and wasting also increased with age except
in the significant wasting group. Wasting also occurred early in life
(1-2 years old); 24.7% and 37.3% of the children had mild and significant
wasting, respectively.
Factors that may be associated wit 1000 h significant
underweight, stunting and wasting were analysed and the results of
univariate analysis are presented in Tables 4, 5 and 6. Household
income £ MR750.00 (Malaysian Ringgit) was a significant risk factor of significant
stunting and wasting. Other socioeconomic factors, age, gender, energy
and protein intakes, worm infection were not significant predictors
of malnutrition in this study.
Table 4. Results of univariate analysis of
potential associated factors with underweight among children aged
1-7 years in rural areas in Malaysia
Variables |
Prevalence of underweight(%)
|
|
Normal + Mild
|
Significant
|
OR (95% CI)
|
p
|
Low father education |
53.2
|
46.3
|
1.32 (0.73,2.38)
|
0.4028
|
Low mother education |
47.3
|
40.6
|
1.12 (0.62,2.03)
|
0.7959
|
Mother working |
34.5
|
26.3
|
0.68 (0.35,1.29)
|
0.2619
|
Family income £ MR*750/month |
66.7
|
70.6
|
1.20 (0.63,2.28)
|
0.6547
|
Family size ³ 8 |
25.4
|
26.4
|
1.03 (0.53,2.01)
|
0.9530
|
Male |
45.3
|
42.1
|
1.65 (0.94,2.92)
|
0.0867
|
Age³ 5 years |
47.9
|
44.1
|
0.86 (0.49,1.51)
|
0.6695
|
Infected with worm (soil- |
22.5
|
18.1
|
0.76 (0.32,1.77)
|
0.6213
|
transmitted helminths) |
|
|
|
|
Energy intake <RDI |
253.8
|
46.2
|
2.21 (0.91,5.77)
|
0.0868
|
Protein intake <RDI |
253.8
|
46.2
|
0.83 (0.44,1.56)
|
0.5374
|
* Malaysian Ringgit
Table 5. Results of univariate analysis of
potential associated factors with stunting among children aged 1-7
years in rural areas in Malaysia
Variables |
Prevalence of stunting(%)
|
|
Normal + Mild
|
Significant
|
OR (95% CI)
|
p
|
Low father education |
46.0
|
64.1
|
1.20 (0.96,4.68)
|
0.0640
|
Low mother education |
42.6
|
48.7
|
1.28 (0.60,2.74)
|
0.6083
|
Mother working |
50.0
|
20.0
|
0.50 (0.19,1.21)
|
0.1474
|
Family income £ MR*750/month |
57.5
|
85.0
|
4.20 (1.62,12.77)
|
0.0021
|
Family size ³ 8 |
24.9
|
30.8
|
1.34 (0.57,3.04)
|
0.5774
|
Male |
50.8
|
52.5
|
1.34 (0.57,3.04)
|
0.0867
|
Age³ 5 years |
45.3
|
50.0
|
1.21 (0.57,2.54)
|
0.7158
|
Infected with worm (soil-
transmitted helminths) |
19.4
|
25.9
|
1.45 (0.47,4.07)
|
0.6137
|
Energy intake <RDI |
81.9
|
18.1
|
2.16 (0.61,11.7)
|
0.3249
|
Protein intake <RDI |
81.9
|
18.1
|
0.94(0.39,2.12)
|
0.9699
|
* Malaysian Ringgit
Discussions
The overall prevalence of underweight, stunting and
wasting among children aged 1-7 years in this study was higher than
in studies of other rural villages4,11,23 and of slum areas
around Kuala Lumpur10,24. However, it was lower than the
study of rural areas in Sarawak6.
Table 6. Results of univariate analysis of
potential associated factors with wasting among children aged 1-7
years in rural areas in Malaysia
Variables |
Prevalence of wasting (%)
|
|
Normal + Mild
1000 |
Significant
|
OR (95% CI)
|
p
|
Low father education |
40.9
|
51.6
|
1.54 (0.82,2.88)
|
0.1963
|
Low mother education |
42.4
|
46.8
|
1.19 (0.62,2.27)
|
0.6764
|
Mother working |
33.6
|
24.2
|
0.63 (0.30,1.29)
|
0.2415
|
Family income £ MR750/month |
57.8
|
73.1
|
1.99 (1.02,3.96)
|
0.0440
|
Family size ³ 8 |
27.9
|
21.3
|
0.70 (0.31,1.49)
|
0.4169
|
Male |
48.7
|
56.7
|
1.38 (0.74,2.57)
|
0.3425
|
Age³ 5 years |
47.4
|
43.3
|
0.85 (0.45,1.57)
|
0.6761
|
Infected with worm (soil-transmitted
helminths) |
23.0
|
14.6
|
0.57 (0.19,1.50)
|
0.3182
|
Energy intake <RDI |
69.7
|
30.3
|
1.23(0.49,3.38)
|
0.7993
|
Protein intake <RDI |
69.7
|
30.3
|
1.65(0.84,3.18)
|
0.1537
|
It is interesting to note that underweight, stunting
and wasting occurred early in life in this community, with almost
one-quarter of the 1-2 years old showing malnutrition. Moreover, the
prevalence of underweight, stunting and wasting was higher than that
of urban slum children in the same age group10. In the
5-7 years-old group, nearly half of the children were stunted (indicator
of past or chronic malnutrition), indicating that most had chronic,
inadequate feeding or the presence of recurrent illness or chronic
illness. Wasting is a good indicator of acute malnutrition and usually
the result of acute infection/illness or acute, inadequate feeding
practices. Children aged 6-24 months usually suffer from an acute
nutritional deficiency as a result of weaning. The percentage of wasted
children in this study was high in those aged 1-2 and 5-7 years old.
Inadequate energy and iron intake in those aged 1-2 years old and
inadequate intake of most of the nutrients in those aged 5-7 years
(Table 2) may explain the high percentage of wasting in this community.
This study also shows that the prevalence of mild and significant
underweight, stunting and wasting increased with age, although it
was not statistically significant. Other studies have shown a significant
increase in the prevalence of underweight with age in Malaysia6,10.
One important observation in this study is that
low family income (£ MR 750.00) is a significant risk factor for stunting and wasting. Other
selected socioeconomic characteristics (fathers education, mothers
education, working mothe 1000 r, family size ³ 8), demographic characteristics (age and gender), worm infection and
energy and protein intake below RDI were not risk factors for malnutrition
in this community.
Our finding with regard to association of household
income with malnutrition was similar to those found in other developing
countries. In Ghana, 12% of the variance in current weight-for-age
among children aged 12-18 months can be explained by their socioeconomic
background including household income13. A study in Bangladesh
revealed that household wealth indicators were negatively associated
with proportion of children classified as malnourished12.
This study shows that parents education had no significant association
with malnutrition. The importance of parents education in determining
nutritional status of children were reported in some studies14-17,23.
A study in Tanzania showed that mothers with a secondary education
are more likely to have nutritionally normal children than those with
only primary education17. A study in the Lao PDR also showed
that children whose mothers had completed primary education were less
stunted and wasted than children whose mothers had never been to school25.
This study shows that a working mother was not
a risk factor for malnutrition. A similar finding was reported in
a study among Brazilian children26. It was reported that
the person who takes care of the child is much more important than
is the mothers employment status in determining the childs
nutritional status27. Large families are also more prone
to having malnourished children28,29. However, this study
did not find that a large family (family size ³ 8) was a risk factor for malnutrition. This study also found that gender
was not risk a factor for malnutrition. Similar findings were reported
in a studies in Brazil26 and Turkey27. However,
a study in Tanzania reported that males were nutritionally more sound
than females17 and conversely, a study in the Lao PDR showed
that females were less malnourished than males25.
Besides socioeconomic factors, childhood illness
such as diarrhoea and malaria and immunisation status were identified
as significant predictors of nutritional status15,17. In
this study, worm infection had no significant association with malnutrition.
However, significant differences in the Z-scores for height-for-age
between infected and non-infected children were observed among 3-8
years-old children in Thailand18. Our results differed
from Thailand probably on the basis that as the communities which
were studied had a low prevalence of soil-transmitted helminth infection.
The present study revealed that energy and protein
intakes below RDI were not risk factors for malnutrition, in agreement
with studies in Tanzania17 and Brazil26. We
did not measure factors such as birth weight, breast feeding, type
of food and frequency of food given during the first year of life
in this study. Studies have shown that birth weight is an important
factor in determining nutritional status at age 1 year13,15.
However, birth size and subsequent growth of children may not correlate30.
Two of our findings have particular relevance for
the implementation of programs to prevent malnutrition in this community.
Firstly, between one-quarter to one-third of mild and significant
malnutrition occurred early in life (1-2 years-old) and the prevalence
of mild malnutrition increased with age. This suggests that any intervention
measures to improve nutritional status or to prevent malnutrition
should be und 1000 ertaken during infancy. Secondly, low household
income was a risk factor for significant stunting and wasting. Improvement
in nutritional status can be expected when these risk factors are
addressed.
Acknowledgments. This study was supported by the Universiti Kebangsaan Malaysia,
Research Grant No. 10/92. We would like to thank the Dean of Medical
Faculty.
References
- Chen ST. Protein-malnutrition: A major health
problem of multiple causation in Malaysia. Southeast Asian J Trop
Med Public Health 1974; 5: 85-9.
- Rampal L. Nutritional status of primary school
children: a comparative rural and urban study. Med J Malaysia 1977;
32: 6-16.
- Kandiah N & Lim JB. Nutritional status in
a rural estate community. Med J Malaysia 1977; 31(4): 270-5.
- Chong YH. The prevalence of childhood malnutrition,
its measurement, what it means and its uses. Med J Malaysia 1980;
34(4): 329-35.
- Malaysia of Health, Malaysia 1990. Annual Report.
- Kiyu A, Teo B, Hardin S & Ong F. Nutritional
status of children in rural Sarawak, Malaysia. Southeast Asian J
Trop Med Public Health 1991; 22(2): 211-4.
- Gan CY, Bin C, Teoh BT & Chan MKC. Nutritional
status of Kadazan children in a rural district in Sabah, Malaysia.
Southeast Asian J Trop Med Public Health 1993; 24(2): 293-301.
- Khor GL. Malnutrition among Semai children.
Med J Malaysia 1988; 43: 318-26.
- Ismail MN, Wong TS, Zawiah H. Anthropometric
and food intake studies among Semai children. J Malaysian Soc Health
1992; 47(3): 170-81.
- Chee HL. Prevalence of malnutrition among children
in an urban squatter settlement in Petaling Jaya. Med J Malaysia
1992; 47(3): 170-81.
- Osman A & Zaleha MI. Nutritional status
of women and children in Malaysian rural population. Asia Pacific
J Clin Nutr 1995;4: 319-24.
- Abbas Bhuiya MA, Susan Zimicki MS & Stan
DSouza. Socioeconomic differentials in child nutrition and
morbidity in a rural area of Bangladesh. J Trop Pediat 1986; 32:
17-23.
- Brugha R & Kevany J. Determinants of nutrition
status among children in the Eastern region of Ghana. J Trop Pediat
1994; 40: 307-11.
- Martorell R, Leslies J & Moock PR. Characteristics
and determinants of child nutritional status in Nepal. Am J Clin
Nutr 1984; 39: 74-86.
- Rabiee F & Geissler C. Causes of malnutrition
in young children: Gilan, Iran. J Top Pediat 1990; 36: 165-70.
- Lima M, Figueria F & Ebrahim GJ. Malnutrition
among children of aldolescent mothers in a squatter community of
Recife, Brazil. J Trop Pediat 1990; 36: 14-9.
- Maurice MCY & Namfu PP. Some determinants
of nutritional status of 1-4 year-old children in low income urban
areas in Tanzania. J Trop Pediat 1992; 38: 299-306.
- Egger RJ, Hofhuis EH, Bloem MW, Chusilp K, Wedel
M, Intarakhao C, Saowakontha S & Schreurs WHP. Association between
intestinal parasitoses and nutritional status in 3-8 year-old children
in Northeast 1000 Thailand. Trop Georgr Med 1990; 42; 312-23.
- Victoria CG, Vaughan JP, Martines JC & Barcelos
LB. Is prolonged breast feeding associated with malnutrition? Am
J Clin Nutr 1984; 307-11.
- Epi Info, version 6.02. A Word Processing Database
& Statistics Program for Public Health. Produced by The Division
of Surveillance & Epidemiology, Epidemiology Program of Centers
for Disease Control & Preventive and World Health Organization,
1994.
- Statistical Package for Social Science, for
Windows (Release 6.0). SPSS Inc. Chicago, Illinios, 1993.
- RDI. Recommended Dietary Intake for Malaysia.
Adapted from: recommendation PHI/WHO/IMR/UM Technical Subgroup and
WHO monograph series no 61, Geneva, 1974.
- Chong YH, Tee ES & Ng TKW. Status of community
nutrition in poverty kampongs. Bulletin No 22, Institute for Medical
Research, Kuala Lumpur, 1984.
- Kan SP. Environmental, socioeconomic and cultural-behavioural
factors affecting endemicity of soil-transmitted helminthiasis and
nutritional status of urban slum dwellers. In Collected Papers on
the Control of Soil-transmitted Helminthiasis Vol V, eds Yokogawa
M et al. APCO, Tokyo, 1992; 44-63.
- Phimmaasone K, Douangpoutha I, Fauveau V &
Pholsena P. Nutritional status of children in Lao PDR. J Trop Pediat
1996; 42: 5-11.
- Huttly SRA, Victoria CG, Barros FC, Teixeira
AMB & Vaughan P. The timing of nutritional status determination:
Implication for interventions and growth monitoring. Eur J Clin
Nutr 1991; 45: 85-95.
- Tuncbilek E, Unalan T & Coskun T. Indicators
of nutritional status in Turkish preschool children: results of
Turkish Demographic and Health Survey 1993. J Trop Pediat 1996;
42: 78-84.
- Antrobus ACK. Child growth and related factors
in rural community in St. Vincent. J Trop Pediat Environ Chld Hlth
1971; 17: 187-210.
- Ballweg JA. Family characteristics and nutrition
problems of preschool children in Fond Parisien Haiti. J Trop Pediat
Environ Chld Hlth 1972; 18: 230-43.
- Promerace HH & Krall JM. The relationship
of birth size to the rate of growth in infancy and childhood. Am
J Clin Nutr 1984; 39: 95-9.
Malnutrition and its risk factors
among children 1-7 years old in rural Malaysian communities
M Norhayati, MI NoorHayati, CG Mohammod,
P Oothuman, O Azizi, A Fatimah, MS Fatmah
Asia Pacific Journal of Clinical
Nutrition (1997) Volume 6, Number 4: 260-264


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