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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 (father’s education, mother’s 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 mother’s employment status in determining the child’s 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

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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


Copyright © 1997 [Asia Pacific Journal of Clinical Nutrition]. All rights reserved.
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