Magnitude and severity of anthropometric failure among children under two years using Composite Index of Anthropometric Failure (CIAF) and WHO standards.

Background

Child undernutrition is one of the global public health concerns, as it results in irreversible damage to the physical and mental health of children. Undernutrition further impacts adult health and human capital. It accounts for morbidity and premature mortality in developing countries [1]. Undernutrition is known to severely impact children in the first two years of life marked as the critical period [2]. Globally, over a hundred million children are undernourished [3]. India is home to highest proportion of undernourished children in the world [4]. One third of children under the age of five years in the country are stunted, another one third are underweight and about 21% are wasted. A major concern in child undernutrition in the Indian subcontinent is that despite a considerable decline in the prevalence of stunting, the magnitude of wasting has significantly increased across the states [5]. In particular, data on prevalence of undernutrition are scarce among children under two years of age. According to National Family Health Survey 3, the prevalence of stunting was 45% and wasting 23% among children under three years of age [6]. The prevalence of stunting and underweight rapidly increases between 20 and 23 months peaking at 20 months indicating poor infant and young child feeding practices [7]. National Nutrition Monitoring Bureau (NNMB) 2006 identifies undernutrition between 0 and 6 months as 26% that increased to 39% in 12–23 months [8]. It is therefore evident that children in this critical age group manifest growth faltering. Undernutrition if uncorrected during these years may have lasting impact on the development of children.

Conventional indicators used for assessment of undernutrition are stunting, wasting and underweight. These indices reflect distinct metabolic changes and are used in determining appropriate nutritional interventions [9]. Developmental economist Peter Svedberg indicated that the conventional indices used for measuring undernutrition overlap and are insufficient for measuring the overall prevalence of undernutrition among children. He suggested that if children with stunting, wasting and underweight are all considered being in a state of anthropometric failure, an aggregate indicator is needed that incorporates all categories of undernourished children. This aggregate indicator, known as the Composite Index of Anthropometric Failure (CIAF) comprises of six categories under which children experiencing one or more forms of anthropometric failure are grouped [10]. This assessment method has been used by several workers to study undernutrition [[9], [10], [11], [12], [13]], and concluded that CIAF identifies a greater percentage as undernourished compared to traditional indices. However, this method too does not address wasting masked by edema or fat [14].

To further assess the type of undernutrition that is widespread and its severity, Mandal and Bose [15] proposed three other indices viz, Stunting Index (SI), Wasting Index (WI) and Underweight Index (UI), to emphasize the significance of each manifest relative to CIAF. These indices are calculated using the conventional measures of stunting, wasting and underweight along with CIAF.

Most prevalence studies assessing undernutrition in India have used Z scores to classify the various forms and severity. Limited studies have used CIAF that assess both the magnitude and severity identifying a combination of two or three manifests coexisting in children. In a developing country setting where the prevalence of undernutrition is high, there is a need to determine the true burden and severity of undernutrition using composite index.

This work aimed to assess the prevalence and severity of undernutrition using CIAF and conventional anthropometric indices among children 12–23 months of age. It also evaluated SI, WI and UI to recognize the significance of each manifest of undernutrition relative to CIAF.

Methodology

A cross-sectional study was conducted in government pre-school centers among children aged 12–23 months in Pune district, Maharashtra, India. Considering 36% prevalence of underweight children in Maharashtra, (NFHS-4, 2016) [13] with 5% precision and 95% confidence interval, the sample size estimated was 360 children. Ethics clearance was obtained from Savitribai Phule Pune University's institutional ethics committee. Permission from the authorities was taken to work in various anganwadis under Public Health Centres (PHC). Informed consent from parents was obtained before the commencement of the study. Fig. 1 explains the multistage random sampling technique. Participants both boys and girls were recruited using multistage random sampling technique. Pune district comprises of 13 talukas of which 10 correspond to non-tribal areas. A sample of 328 children representing 10 talukas and 30 anganwadis (government run preschool centers) were recruited. From the remaining three tribal talukas, 32 children representing five anganwadi centers were recruited to achieve the estimated sample size. In all, the study covered seven villages in Pune district. Kuppuswamy scale was used to categorize the socioeconomic status [16]. Infantometer was used to measure length and digital weighing scalewas used to record weight. Z scores for Weight for height (WHZ) height for age (HAZ) and weight for age (WAZ) were calculated as per WHO international growth standards using Anthro Software [17]. The anthropometric measures were further categorized as per CIAF [10,11] provided in Table 1. According to this classification children who have normal HAZ,WAZ, WHZ scores were included under category A. Secondly, children with any one manifest of undernutrition i.e., either stunting or wasting or underweight were categorized under B,C and D respectively. Further, children with any two manifests combined such as wasting and underweight; or stunting and wasting were categorized in divisions E and F respectively. All three manifestations of undernutrition i.e., stunting, wasting and underweight are indicated as G. Further, to identify the rates of prevalence of stunting, underweight and wasting relative to the overall prevalence, three more indicators Stunting Index (SI), Wasting Index (WI) and Underweight Index (UI) were calculated using the formulas: Wasting Index = Wasting/CIAF; Stunting Index = Stunting/CIAF; and Underweight Index = Underweight/CIAF.

Fig. 1

Multistage random sampling of children from Pune district, Maharashtra including tribal and non tribal talukas.

Table 1

Classification of anthropometric failure as per CIAF and distribution of participants as per CIAF categories.

Categories of undernutrition [8]		Wasting	Stunting	Underweight	N = 360
					N	%
A	No failure	No	No	No	89	24.7
B	Underweight	No	No	Yes	0	0
C	Wasting	Yes	No	No	39	10.8
D	Stunting	No	Yes	No	111	30.8
E	Stunting andunderweight	No	Yes	Yes	57	15.8
F	Wasting andunderweight	Yes	No	Yes	26	7.2
G	Wasting, stuntingand underweight	Yes	Yes	Yes	38	10.6

Results

The sample consisted of 55% (n = 200) boys and 44% (n = 160) girls. Majority of the children belonged to the lower socio economic status as per Kuppuswamy scale. Distribution of participants as per the categories of undernutrition in CIAF is provided in Table 1. Nearly one fourth (25%) of the children studied were free from any form of undernutrition. Underweight as a single manifest was not observed among any of the children. Wasting was observed among 11%, while stunting was observed among 31% of the children. Combinations of two manifests of undernutrition i. e, stunting and underweight, as well as wasting and underweight were observed among 16% and 7% respectively. A combination of three manifests of undernutrition was observed among 11% of the children.

Table 2 presents the sexwise distribution of rates of wasting, stunting and underweight and their respective indices among the children. It also provides the sexwise prevalence of anthropmetric failure using CIAF. According to the WHO Z score classification total prevalence of wasting was 29%. Of this nearly 58% boys were wasted, compared to 42% girls. Total prevalence of stunting was 58% of whom 59% boys and 41% girls were stunted. Similar observation of high prevalence of underweight was observed among boys (63%) as compared to girls (37%). As per CIAF too, greater percent boys suffered anthropometric failure (57%) as compared to girls (43%). According to CIAF, 75% children suffered from anthropometric failure. Undernutrition relative to CIAF revealed higher stunting index (76) followed by underweight index (47) and wasting index (38).

Table 2

Sexwise distribution of rates of stunting, wasting, underweight, and CIAF among children 12–23 months.

Categories of malnutrition	BoysN = 200	GirlsN = 160	TotalN = 360
Wasting	60 (58%)	43(42%)	103 (29%)
Stunting	123 (59%)	84(41%)	207 (58%)
Underweight	76 (63%)	45(37%)	121 (34%)
CIAF	154 (57%)	117(43%)	271 (75%)
Wasting index (WI)	60/154 = 0.389	43.5/117 = 0.371	103/271 = 38
Stunting Index (SI)	123/154 = 0.798	84/117 = 0.717	207/271 = 76.38
Underweight index (UI)	76/154 = 0. 0.493	45/117 = 0.384	121/271 = 46.64

WI= Wasting/CIAF; SI= Stunting/CIAF; UI= Underweight/CIAF.

Discussion

While comparing WHO standards and CIAF to assess undernutrition, this work also indirectly addresses the limitation of a single measure for assessing undernutrition. In contrast to the conventional indices, relative approach used in this study identified the overall magnitude of undernutrition. To the best of our knowledge ours is the first study to assess anthropometric failure using CIAF among children in the critical age group of 12–24 months in India. In this study, we estimated the magnitude of undernutrition using CIAF as 75% which is higher than Z score observations. This high prevalence was not unexpected, as earlier work using composite index have also provided similar results [[11], [12], [13]]. CIAF among preschool children shows prevalence ranging from 26% in Kashmir [18], to 73% in West Bengal [15]. Recent evidence shows > 50% prevalence of anthropometric failure raising public health concern [[19], [20], [21]]. High prevalence of anthropmetric failure indicates simultaneous coexistance of acute and chronic forms of undernutrition in this critical group. The characteristic outcome in this group is growth faltering that has been attributed to the extent and severity of ponderal growth faltering [22]. The outcome of different levels of severity would manifest either as mortality or developmental delay. Non-fatal outcomes due to undernutrition among children are a serious public health concern globally. The Lancet maternal and child health series has quantified deaths as well as disability adjusted life years (DALY) as a consequence of undernutrition emphasing the need for immediate interventions [1,23].

As observed in other Indian studies [13,15], in our work too stunting emerges as the commonly prevalent type of undernutrition. This calls for strengthening long term interventions to address the intergenerational perpetuation of undernutrition. Between boys and girls in our study, boys showed higher prevalence of stunting, wasting and underweight. Gender differences in nutritional status have been reported in earlier studies as well [[24], [25], [26]]. Culturally if women are given emphasis for their agricultural productivity there is a likelihood for increased attention to female children. There seems to be no biological explanation for male children being more undernourished. Morbidity both symptomatic and asymptomatic has been reported among male children under five years which perhaps could explain the high prevalence of undernutrition among them [27].

Screening for undernutrition is an integral part of the programme of the Ministry of Women and Child Development (MWCD), Government of India [28]. National reports provide data for children under five years [5]. Carefully selected indicators provide right measures of undernutrition. Age appropriate screening and assessment methods are vital to estimate intervention needs. The screening techniques in existing programmes use WAZ to screen underweight, and Mid Upper Arm Circumference (MUAC) to identify extreme wasting. Although targeted interventions for wasting [Severe Acute Malnutrition (SAM) and Modern Acute Malnutrition (MAM)] has been operational in the State, there is a significant increase in wasting. The increased prevalence of wasting in the subcontinent has been attributed to poor maternal health, specifically low prepregnancy BMI, intrauterine growth restriction, acute and severe infections and food insecurity [29]. As the existing interventions follow a curative approach, the likelihood of lack continuum of care as a risk, from the programmatic view cannot be ignored. This could probably be a consequence of screening using single measure for targeted interventions, excluding significant proportions who demonstrate multiple manifests. This is apparent from the NFHS 4 [5] results where there is a decline in one manifest but increase in another. Composite indices for screening and assessment, entwined with continuum of care are likely to address the increase in prevalence of single manifest when another declines. Also, as the manifest of undernutrition varies with age it is important to assess the importance of composite index in different age groups to identify vulnerability and plan age appropriate interventions. Measures to identify common risk factors for any manifest would facilitate in addressing undernutrition relatively.

Conclusion

In India, interventions based on current screening appear to harbour a huge burden of undernourished children in the vulnerable group suggesting the need for a composite index for screening, assessment and intervention.

Ethical statement

The study was approved by the institutional ethics committee of Savitribai Phule Pune University. Informed consent was obtained from parents before commencement of the study.

Conflicts of interest

The authors declare no conflict of interest.