Shruti T Hegde

Spotlighting risk factors for severe acute malnutrition under 5 years: a case control study

Hegde S ¹, Gaur A²

¹Dr Shruti T Hegde, Senior Resident, ²Dr Ajay Gaur, Professor& HOD, both authors are affiliated with Department of Pediatrics, GRMC, Gwalior, MP, India

Address for correspondence: Dr Shruti T Hegde, Email: shrutihegde29@gmail.com

Abstract

Objective: Malnutrition remains one of the most common causes of morbidity and mortality among children throughout the world. W.H.O. has defined Severe and Moderate acute Malnutrition (SAM, MAM) as per specific criteria and there are specific guidelines for better inpatient management of SAM children. Unfortunately, there is not much literature on modifiable risk factors which not only govern the causation but have large impact on prognosis. This study is an attempt to understand and prioritize modifiable risk factors in SAM. Methods: This is a prospective observational case control study with 200 subjects conducted at a tertiary care hospital after taking written informed consent. A total of 100 cases were enrolled who were children between 6months to 59 months with severe acute malnutrition (diagnosed as per WHO criteria). The 100 controls chosen were age matched children with weight for height >-2SD admitted for other causes. Data regarding birth, maternal education, feeding practices, socio-demographic parameters, immunization, past illnesses and detailed anthropometric measurements were compared by statistical analysis using SPSS package (version 17.0). Result: A total of 100 cases and 100 controls were enrolled. Out of which 65% cases were below 2 years and 59% of controls were between 2-5years. The study showed that following variables had independent association with severe acute malnutrition: age <2years, low birth weight, birth order >3, younger age of mother at conception, prelacteal feeds, top feeds, delayed initiation of complementary feeds, and partial immunization. Conclusion: The present study helps to identify significant risk factors associated with severe acute malnutrition which can be of help in deciding preventive measures, management and policy making in future.

Keywords: Severe acute malnutrition, Risk factors, mortality

Manuscript received: 4th February 2017, Reviewed: 11th February 2017
Author Corrected: 18th February 2017, Accepted for Publication: 25th February 2017

Introduction

Severe malnutrition among children under five years of age remains a major embarrassment and impediment to optimal human capital development in India. Malnutrition remains one of the most common causes of morbidity and mortality among children throughout the world. Childhood is a significant stage of life and deprivation during this period can have a long-term adverse impact on the wellbeing of children. Reduction in infant and child mortality is likely the most important of the millennium development goals (MDG), as children are the most important assets of a nation. Under nutrition consisting of stunting, wasting, and deficiencies of vitamin A and zinc, along with sub optimum breastfeeding, underlies nearly 3.1 million deaths of children younger than 5 years annually worldwide, representing about 45% of all deaths in this group [1]. Despite being the second fastest growing economy in the world, India continues to harbor some of the worst social sector indicators. India has the highest burden of child malnutrition in the world, the NFHS 3 data shows 19.8 per cent of Indian U5s children as wasted, where as NFHS 4 (2015-16) shows 25.8 per cent in Madhya Pradesh and 6.4 per cent in country, 9.2 percent in MP (NFHS 4) of U5s children as severely wasted. In terms of numbers this would translate to almost astounding 8 million children in India who are severely wasted out of the 25 million children who are wasted [2]. The child prevalence of malnutrition in India is twice that of Sub-Saharan Africa and more than one third of the world’s children who are wasted live in India. There has been uneven progress in the reduction of malnutrition in India, in terms of regional variations. In spite of such astounding figures the number of studies identifying the prevalence of SAM and its risk factors in India are minimal.
The present study is an attempt to identify the risk factors leading to severe malnutrition and prioritize them, thereby helping in identifying children who will be at a higher risk for development of severe acute malnutrition.

Methods

This case control study was conducted at the malnutrition unit of a tertiary care hospital over a period of one year .The cases for the study were children of either gender with severe acute malnutrition(SAM) aged between 6 months to 59 months admitted at our hospital for various reasons. A case of SAM was diagnosed based on WHO criteria, weight for length/height <-3SD as per WHO 2006 growth standards, mid upper arm circumference < 115mm, bilateral pedal edema and visible severe wasting [3]. The controls were age matched children with weight for height >-2SD, admitted for other medical conditions. Children with congenital malformations and chronic illness were excluded from the study. Approval was obtained from the ethical committee. Written informed consent was obtained from the parents of the subjects. The cases and controls had to undergo appetite test at the time of admission and testing for urine ketone bodies. Then they were evaluated based on a questionnaire regarding their birth history, maternal education, feeding history including complementary feeding, immunization status, socio economic factors, past illness and detailed anthropometric measurements along with general and systemic examination.

Statistical analysis was performed using the SPSS statistical package (version 17.0). Categorical variables are presented as absolute numbers and percentage and were compared using Chi-square. Fishers exact test was used if expected frequencies <5. To identify potential factors associated with severe malnutrition in children, univariate analyses was performed. Multivariate logistic regression model was used to identify independent risk factors for severe acute malnutrition in children aged up to 5 yrs. Unadjusted Odds ratio, adjusted odds ratio and its 95% CI were also calculated and presented in the corresponding tables. For all statistical tests, a p value < 0.05 was taken to indicate a significant difference.

Results

In this study, a total of 200 subjects were enrolled, out of which 100 were cases (61 females and 39 males) and 100 were taken as controls (56 females and 44 males). Among them, 65% of the cases were <2years of age and 59% of the controls were 2 to 5 years of age (p<0.001). Out of the 100 cases, 5 presented with oedematous malnutrition. The parameters that were compared between cases and controls included: birth history, maternal factors, dietary factors including complementary feeding, appetite test, immunization status, socio economic characteristics, past illness history, anthropometry, general with physical examination and these included a total of 38 variables. In birth history it was found that children with SAM had 3.9 times higher chance of weighing <2500g at birth and 3.8 times chance of being born preterm (Table no 1). Among maternal factors it was found that age of marriage <19 years (OR=3.84, p<0.001) and maternal illiteracy (p<0.001) had significantly higher association with SAM. Coming to dietary factors, prelacteal feeds (OR=4.688, p<0.001), initiation of breast feeding after 1 hour (OR=14.89, p<0.001), reduced duration of exclusive breast feeding and giving top feeds (OR=28.5, p<0.001) had significantly higher association with SAM (Table no 2). In complementary feeding it was the delayed initiation of feeds (OR=249.8, p<0.001) and calorie content <50% of required were significantly associated with SAM. The risk of being partially immunized was 64.4 times higher in children with SAM. Among the socio economic characteristics, child spacing <3 years (OR=32, 95%CI= 11.6-88.2), socio economic status (according to modified Kuppuswamy classification) falling below class IV, open field defecation and overcrowding were significantly associated with SAM. It was also found that children with SAM had >3 to 5 episodes of illness in a year which were mainly acute watery diarrhoea, and 99% of the cases had inadequate feeding during illness (p<0.001).

Table No-1: General characteristics and birth factors

Characteristics	Controls (n=100)		Cases (n=100)		Unadjusted Odds Ratio	95% CI	P Value
Characteristics					Unadjusted Odds Ratio	95% CI	P Value
Age (yrs)
<2 yrs	41	41.0%	65	65.0%	2.673	1.508 - 4.737	0.001
2 - 5 yrs	59	59.0%	35	35.0%	Ref	-	0.001
Sex
F	56	56.0%	61	61.0%	1.229	0.669 - 2.159	0.473
M	44	44.0%	39	39.0%	Ref	-	0.473
Birth weight
<2.5 Kg	22	22.0%	53	53.0%	3.998	2.162 - 7.394	<0.001
>2.5 Kg	78	78.0%	47	47.0%	Ref	-	<0.001
Gestational Age
Preterm	6	6.0%	20	20.0%	3.875	1.484 - 10.121	<0.001
Term	93	93.0%	80	80.0%	Ref	-	<0.001
Post Term	1	1.0%	0	0.0%	-	-	1.000
Birth Order
1 – 2	85	85.0%	51	51.0%	Ref	-	-
3 – 4	15	15.0%	46	46.0%	5.111	2.594 - 10.072	<0.001
>4	0	0.0%	3	03.0%	0.0862	0.026 - 0.289	0.246

Table No-2: Dietary factors

Characteristics	Controls (n=100)		Cases (n=100)		Unadjusted Odds Ratio	95% CI	P Value
Characteristics	N	%	N	%	Unadjusted Odds Ratio	95% CI	P Value
Prelacteal feeds
Given	12	12.0%	39	39.0%	4.688	2.271 - 9.679	<0.001
Not Given	88	88.0%	61	61.0%	Ref		<0.001
Time of Initiation of BF(TIBF)
Within 1 hr	69	69.0%	13	13.0%	Ref		<0.001
After 1 hr	31	31.0%	87	87.0%	14.896	7.246 - 30.621	<0.001
Duration of EBF
<or = to 6 months	98	98.0%	71	71.0%	Ref		<0.001
>6 months	2	2.0%	29	29.0%	20.141	4.624 - 86.622	<0.001
Top feeds
Given	5	12.0%	60	60.0%	28.500	10.651 - 76.263	<0.001
Not Given	95	95.0%	40	40.0%	Ref		<0.001
Type of top feeds
Animal milk	3	3.0%	58	58.0%	19.333	1.982 - 188.60	<0.001
Formula milk	2	2.0%	2	02.0%	Ref	-	<0.001
Method of top feeds
Bottle fed	0	0.0%	22	22.0%	Ref	-	<0.001
Spoon fed	5	05.0%	38	38.0%	-	-	<0.001
Initiation of CF
6-9 months	99	99.0%	21	21.0%	RefRef	-	<0.001
10-12 months	1	1.0%	53	53.0%	249.860	32.695 - 1909.43
>12 months	0	00.0%	24	24.0%	-	-
Consistency of CF
Adequate	100	100.0%	9	9.0%	Ref	-	<0.001
Inadequate	0	00.0%	91	91.0%	-	-	<0.001
Calorie content of CF
<50% of required	0	0	66	66.0%	-	-	<0.001
50-80% of required	22	22.0%	32	32.0%	-	-
>80% of required	78	78.0%	0	0.0%	Ref	-

Table No-3: Prioritizing factors using Multivariate Logistic Regression (Stepwise Method)

Characteristics	Adjusted Odds Ratio	95% CI	P value
General Characteristics
Age (yrs) (<2 yrs)	2.072	1.093 - 3.931	0.026
Birth weight (<2.5 Kg)	3.242	1.667 - 6.307	0.001
Birth Order (3 - 4)	4.721	2.318 - 9.616	<0.001
Maternal Characteristics
Age at 1st conception (15 - 20 yrs)	12.333	3.448 - 44.116	<0.001
Prelacteal feeds	10.65	2.283 - 49.675	0.003
Top Feeds (Animal)	107.643	20.272 - 571.591	<0.001
CF Initiation (10-12 months)	5503.947	50.644 - 5014.689	<0.001
Immunization
Partially immunized	64.61	25.348 - 163.682	<0.001
Socio economic Characteristics
Water Source (Bore Well)	22.973	2.494 - 211.622	0.006
Toilet Facility (open field)	46.405	15.175 - 141.903	<0.001

Further analysis using multivariate logistic regression (stepwise method) showed the following variables had independent association with SAM: age<2 years, birth weight <2500g, birth order >3, younger age of the mother at conception, prelacteal feeds, top feeds, delayed initiation of complementary feeding, partial immunization as shown in table 3.

Discussion

The present study identifies various risk factors which were found to be significantly higher in children with SAM compared to controls. On studying the birth weight and birth order it was found that weight <2500g at birth and birth order >3 were significantly associated with SAM which is consistent with findings of earlier studies [3]. On studying the maternal factors, it was found that maternal illiteracy and early age of marriage and conception were independent risk factor for SAM which is consistent with earlier reports [4, 5, 6]. In the present study, it was found that exclusive breast feeding during the first 6 months of life protected against development of SAM. The practice of giving prelacteal feeds, delayed initiation of breast feeding and top feeding especially using diluted animal milk showed significant association with SAM similar to the results of other studies [7, 8]. The present study also showed initiation of complementary feeding after 10 months and using inadequate consistency and <50% of required calorie content were important factors leading to SAM, which is consistent with the results of study by Amsalu et al from Ethiopia[7]. On the other hand, studies from China and Kenya have shown that early introduction of CF before 6 mo of age increased the risk of being underweight [9, 10]. A study done in India has remarked that the capacity of a weaning diet to prevent malnutrition of infants depends on its nutritional quality as well as its dietary volume [11]. Studies on feeding practices show that the type of complementary feed given is greatly influenced by traditional socio-cultural beliefs and taboos. In most instances, including India, thin gruels like diluted milk, dilute starch-based liquid without good quality protein are favoured as weaning food and semisolids and solids are introduced relatively late [12]. The results of the present study regarding complementary feeding practices reiterates the key message that quality of complementary feeds, especially the energy and protein content of the food introduced is probably more vital in influencing the nutritional status of the child, rather than just the time of initiation of CF.

Lack of complete immunization was found to contribute significantly to the occurrence of SAM, which can be explained by the fact that unimmunized children suffer from various infections which retard their growth. The present study also shows low socio economic status, large family size and overcrowding as significant factors associated with SAM which has been validated in various studies [13].

The study also showed significant association between frequent illness (>3 to 5/year) like acute watery diarrhoea and inadequate feeding during illness with SAM, consistent with findings of other studies [14]. There is a vicious cycle between malnutrition and diarrhea. Attacks of diarrhea in malnourished children tend to be more frequent, severe and of longer duration. At the same time, repeated attacks of diarrhea could lead to poor growth and malnutrition.

Funding: Nil, Conflict of interest: None initiated.
Permission from IRB: Yes

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How to cite this article?

Hegde S, Gaur A. Spotlighting risk factors for severe acute malnutrition under 5 years: a case control study. J PediatrRes.2017;4(02):140-144.doi:10.17511/ijpr.2017.02.09.