Advances in Food Technology and Nutritional Sciences

Open journal

ISSN 2377-8350

The Concept of Composite Index of Anthropometric Failure (CIAF): Revisited and Revised

Binoy Kumar Kuiti and Kaushik Bose*

Received: July 21st, 2018; Revised: September 9th, 2018; Accepted: October 29th, 2018; Published: November 5th, 2018

Development economist Peter Svedberg in the year 2000, formulated the composite index of anthropometric failure (CIAF) for detecting total malnourished children in developing countries.1 This classification was based on three indices of undernutrition, i.e. stunting (height-for-age, HAZ), underweight (weight-for-age, WAZ) and wasting (weight-for-height, WHZ). While these three indices have been distinguishable of their position is below then the normal range of World Health Organization’s international reference. In workable stage, stunting (HAZ) is detected long-term undernutrition with deprivation of food or exposure to infection; wasting (WHZ) is a well-known indicator of acute undernutrition or recent weight loss and underweight (WAZ) is used as a composite measure of WHZ and HAZ.2 For their functional unique characteristics of these indices separately cannot provide a single conclusion of the overall burden of undernutrition among children in a population. Ending the hierarchal conclusion of undernutrition, Svedberg (2000) has pointed out that HAZ, WAZ and WHZ are dependent entities where WAZ is often used to reflect the extent of both chronic and acute malnutrition, it cannot distinguish between the other two indices due to overlapping. Whether WAZ have limited functions and it does not detect the sum of those children who are HAZ and/or WHZ, and so provides an underestimate of the extent of anthropometric failure in a population. What is required as an alternative tool for identifying all undernourished children, be they HAZ and/or WHZ and/or WAZ; the solution is the CIAF.

In the first-time presentation on CIAF, Svedberg (2000), has clearly outlined  the relationship between three indices of undernutrition in a graphical presentation (Figure 1). Where the vertical axis presented the deviation of weight the  horizontal axis indicated height deviation. The diagonal line presented the amalgamation of weight for height. All these indices of undernutrition and normal are logically secured in their sectional position in the circle of this graph. In all sectional parts of this circle, Svedberg has included WAZ children in sections or Groups C, D, and E but categorical Groups B and F are shown excluding WAZ children; HAZ children are included in Groups D, E and F but excluded in Groups B and C; and the other category WHZ children are included in the B, C, and D, but excluded in Groups E and F. After graphical presentation and detecting acceptable and non-acceptable state among HAZ, WAZ and WHZ children, Svedberg has formulated an estimation depending on the capability of all anthropometric indicators which was termed as the Composite Index of Anthropometric Failure (CIAF).1 The estimating formula for detecting overall undernutrition among children is:

 

Figure 1. Svedberg’s Original Graphical Presentation on CIAF with Six Sections (A to F)

ANTPOJ-3-118 Fig 1

 

CIAF=(1-A)/(A+B+C+D+E+F)=(1-A)/1= 1-A

Except for Group A (not anthropometric failure), the overall prevalence of malnutrition is determined by summing up the five groups jointly. After few years of Svedberg’s formulated CIAF, Shailen Nandy and co-workers (2005) had added a new Group Y (Figure 2) which denotes only the underweight children.3 Currently, the revised Svedberg model has become a useful policy-making tool of planners for designing interventions programme to reduce malnutrition in developing countries.4

 

Figure 2. Revised CIAF with Seven Sections (A to F and Y)

ANTPOJ-3-118 Fig 2

 

With the emergence of dual burden of malnutrition, this CIAF model of classification is not sufficient.  At present, CIAF is detecting only those children whose weight and height are below the normal reference population of WHO and The Centers for Disease Control and Prevention (CDC).5,6 It does not address the issue of dual burden of malnutrition where there is a concomitant coexistence of stunting with overweight/obesity (children suffering from overnutrition, i.e. overweight/obesity). Like HAZ, WAZ and WHZ; overweight children suffer from many diseases.7,8,9,10,11 According to WHO (2013), childhood obesity is one of the most serious public health challenges of 21st century.12 Several recent studies among children from various countries have reported the presence of overweight and obesity simultaneously with stunting, i.e., low HAZ.13,14,15,16,17,18  Recent studies have also demonstrated the global emergence of only overweight/obesity among school-age children in both developed and developing countries.19,20

For lack of correct identification of overweight with stunting children and only overweight children by revised Svedberg’s CIAF, we hereby propose two new groups to estimate anthropometric over failure (OF). The two new groups are Stunting with overweight and overweight only (Table 1). In graphical presentation (Figure 3) overweight (upper portion of dotted diagonal line) category has two distinct portions, i.e., along with stunting (with low HAZ) (G) and normal height (normal HAZ) (H).

 

Figure 3. Proposed CIAF Categories (A to H and Y))

ANTPOJ-3-118 Fig 3

 

Table 1. Proposed New Composite Index of Anthropometric Failure Categories

CIAF Categories

Wasted Stunted Underweight

Overweight

Group A – No failure

No

No No

No

Group B – Wasted only

Yes

No No

No

Group C – Wasted & Underweight

Yes

No Yes

No

Group D – Wasted, Stunted & Underweight

Yes

Yes Yes

No

Group E – Stunted & Underweight

No

Yes Yes

No

Group F – Stunted only

No

Yes No

No

Group G – Stunted & Overweight

No

Yes No

Yes

Group H – Overweight only

No

No No

Yes

Group Y – Underweight only

No

No Yes

No

 

Lastly, we hereby propose the following revise formula for detecting Under Failure (UF), Over Failure (OF) and Only Normal (ON).

(1-A)
CIAF=  ————————————————
((A+B+C+D+E+F+Y)+(G+H))

 

(Where, A=No failure or normal, B=Wasted only, C=Wasted and Underweight, D=Wasted, Stunted and Underweight, E=Stunted and Underweight, F=Stunted only, G=Stunted and Overweight, H=Overweight only and Y=Underweight only)

          (1-ON)
or,     ———————
(ON+UF+OF)

ANTPOJ-3-118 symbol

(Where, ON=Only Normal, UF=Under Failure and OF=Over Failure)

FUNDING

No funding

ACKNOWLEDGMENTS

The authors are grateful to Swarup Pratihar who has technical supported in the present studies.

1. Svedberg P. Poverty and Undernutrition: Theory, Measurement, and Policy. Oxford, England, UK: Oxford University Press. 2000. doi: 10.1093/0198292686.001.0001

2. World Health Organization(WHO). Physical status: The use and interpretation of anthropometry. World Health Organ Tech Rep Ser. 1995; 1-452.

3. Nandy S, Irving M, Gordon D, Subramanian SV, Smith GD. Poverty, child undernutrition and morbidity: New evidence from India. Bull World Health Organ. 2005; 83: 210-216. doi: S0042-96862005000300014

4. Nandy S, Miranda JJ. Overlooking undernutrition? Using a composite index of anthropometric failure to assess how underweight misses and misleads the assessment of undernutrition in young children. Soc Sci Med. 2008; 66: 1963-1966. doi: 10.1016/j.socscimed.2008.01.02

5. Cole TJ, Bellizzi MC, Flegal KM, Dirtz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000; 320: 1240-1243. doi: 10.1136/bmj.320.7244.1240

6. de Onis M, Garza C, Onyango AW, Borghi E. Comparison of the WHO child growth standards and the CDC 2000 growth charts. J Nutr. 2007; 137: 144-148. doi: 10.1093/jn/137.1.144

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8. Freedman DS, Dietz WH, Srinivasan SR, Berenson GS. The relation of overweight to cardiovascular risk factors among children and adolescents: The bogalusa heart study. Pediatrics. 1999; 103: 1175-1182. doi: 10.1542/peds.103.6.1175

9. Lee WW. An overview of pediatric obesity. Pediatr Diabetes. 2007; 8: 76-87. doi: 10.1111/j.1399-5448.2007.00337.x

10. Reilly JJ, Kelly J. Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: Systematic review. Int J of Obes. 2010; 35:891-898. doi: 10.1038/ijo.2010.222

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12. World Health Organization (WHO). Childhood overweight and obesity on the rise: Global Strategy on Diet, Physical Activity and Health. 2004.

13. Shrimpton R, Rokx C. The double burden of malnutrition: A review of Global Evidence. Health, Nutrition and Population (HNP) Discussion Paper. 2012. doi: 10.1596/27417

14. Gillespie SR, Haddad LJ. The Double Burden of Malnutrition in Asia: Causes, Consequences, and Solutions. New Delhi, India: Sage India. 2003.

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17. Mondal N, Basumatary B, Kropi J, Bose K. Prevalence of double burden of malnutrition among urban school going Bodo children age in 5-11 years of Assam, Northeast India. Epidemiology Biostatistics and Public Health. 2015; 12: 11497-11510. doi: 10.2427/11497

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