Harnessing Poshan Tracker to Detect Composite Index of Anthropometric Failure Among 0-3 Year Olds in Rural Puducherry

Authors

DOI:

https://doi.org/10.55489/njcm.161220255850

Keywords:

Anthropometry, Analysis, Secondary data, Composite Index of Anthropometric Failure, Poshan Tracker, Population, Rural, Malnutrition

Abstract

Background: Evidences suggest that the conventional indicators of malnutrition does not reflect the holistic burden of malnutrition. Hence, the utilization of Composite index of anthropometric failure (CIAF) for reporting malnutrition in Indian context was recommended. Our objective was to determine the proportion of children with CIAF and its association with age and sex in 0-3 years children from selected Anganwadis’ of rural Puducherry.

Methods: This cross-sectional study using secondary data of 0-3 years was conducted across the 25 Anganwadis’ of our rural field practice area during July 2024. All children of 0-3 years whose length (<2 years)/height (≥2 years), weight and date of birth information were available in the Poshan Tracker were included in the study. The interpretation of their nutritional status was obtained from the Poshan Tracker. WHO Anthro Survey analyser and R software was used for further analysis.

Results: Of the 829 children, proportion of children with CIAF was 281(33.8%). There was a significant difference in proportion of anthropometric failure between girls with 28% and boys with 41% (P <0.001). As per CIAF stages (N=281), stunting was the predominant form of malnutrition in 19% followed by stunting and underweight in 6% and wasting in 3.6%. The prevalence of anthropometric failure was higher in children between 1-2 years and among boys.

Interpretation and Conclusions: One in three children of 0-3 years age group had anthropometric failure with more prevalence among children less than two years and boys. Longitudinal follow up of these children along with exploration of their dietary intake might provide insights for targeted interventions. The cross-sectional nature of this study limits causality inference.

References

World Health Organization. Fact sheets - Malnutrition [Internet]. 2024 [cited 2025 Oct 15]. Available from: https://www.who.int/news-room/fact-sheets/detail/malnutrition

Goyal M, Singh N, Kapoor R, Verma A, Gedam P. Assessment of Nutritional Status of Under-Five Children in an Urban Area of South Delhi, India. Cureus. 2023 Feb 13;15(2):e34924. DOI: https://doi.org/10.7759/cureus.34924 PMID: 36938241 PMCID: PMC10016022

Quick guide WHO Anthro Survey Analyser [Internet]. Geneva; 2019 [cited 2025 Feb 6]. Available from: https://cdn.who.int/media/docs/default-source/child-growth/child-growth-standards/software/anthro-survey-analyser-quickguide.pdf?sfvrsn=dc7ddc6f_6

National Family Health Survey (NFHS-5) 2019–21. Ministry of Health and Family Welfare. Compendium of fact sheets: India and 14 States/UTs (Phase-II) [Internet]. New Delhi: Ministry of Health and Family Welfare; 2021. [cited 2025 Jan 23]. Available from: https://mohfw.gov.in/sites/default/files/NFHS-5_Phase-II_0.pdf

Nandeep ER, Jaleel A, Reddy PB, Geddam JJB, Reddy SN, Hemalatha R. Developing and demonstrating an atomistic and holistic model of anthropometric failure among children under five years of age using the National Family Health Survey (NFHS)-5 data from India. Frontiers in Nutrition. 2023 Jan 8;10:1280219. DOI: https://doi.org/10.3389/fnut.2023.1280219 PMid:38260069 PMCid:PMC10800737

Permatasari TAE, Chadirin Y. Assessment of undernutrition using the composite index of anthropometric failure (CIAF) and its determinants: A cross-sectional study in the rural area of the Bogor District in Indonesia. BMC Nutrition. 2022 Dec 1;8(1):133. DOI: https://doi.org/10.1186/s40795-022-00627-3 PMid:36384860 PMCid:PMC9666932

Khadilkar V, Dange NS. nRICH Newer Research and recommendations In Child Health [Internet]. Indian Academy of Pediatrics; 2023;1-3. Available from: https://iapindia.org/pdf/nRICH-Article-81.pdf [Accessed on January 19, 2025]

Svedberg P. Poverty and undernutrition: theory, measurement, and policy. Clarendon press; 2000. Doi: https://doi.org/10.1093/0198292686.001.0001

Jeyakumar A, Godbharle S, Giri BR. Determinants of Anthropometric Failure Among Tribal Children Younger than 5 Years of Age in Palghar, Maharashtra, India. Food Nutr Bull. 2021 Mar 1;42(1):55-64. DOI: https://doi.org/10.1177/0379572120970836 PMid:33878903

Ministry of Women and Child Development. Poshan Calculator [Internet]. New Delhi: Government of India; 2022 [cited 2025 Jan 19]. Available from: https://www.poshantracker.in/PTCalculator

Press Information Bureau. Anganwadi Centres, Beneficiaries and Funds Released under the Scheme [Internet]. New Delhi; 2021 [cited 2025 Jun 3]. Available from: https://www.pib.gov.in/PressReleasePage.aspx?PRID=1776876

Dean AG, Sullivan KM SM. OpenEpi: Open Source Epidemiologic Statistics for Public Health, Version 3.01 [Internet]. 2013 [cited 2025 Jun 4]. Available from: www.OpenEpi.com

Martinez BAF, Leotti VB, Silva GSE, Nunes LN, Machado G, Corbellini LG. Odds Ratio or Prevalence Ratio? An Overview of Reported Statistical Methods and Appropriateness of Interpretations in Cross-sectional Studies with Dichotomous Outcomes in Veterinary Medicine. Front Vet Sci. 2017 Nov 10;4:193. DOI: https://doi.org/10.3389/fvets.2017.00193 PMid:29177157 PMCid:PMC5686058

Gebretsadik MT, Sisay AL, Tamiru D, Belachew T. Anthropometric failure and associated factors among children aged 6-23 months in Ethiopia. Food Sci Nutr. 2023 Mar 1;12(3):1581-1591. DOI: https://doi.org/10.1002/fsn3.3821 PMid:38455220 PMCid:PMC10916568

Boregowda GS, Soni GP, Jain K, Agrawal S. Assessment of Under Nutrition Using Composite Index of Anthropometric Failure (CIAF) amongst Toddlers Residing in Urban Slums of Raipur City, Chhattisgarh, India. J Clin Diagn Res. 2015 Jul 1;9(7):LC04-6. DOI: https://doi.org/10.7860/JCDR/2015/12822.6197 PMid:26393147 PMCid:PMC4572978

Sharma J, Pandey S, Zode M. Prevalence and Correlates of Anthropometric Failure Among Children Aged 0-23 Months in India: Evidence from a Nationally Representative Cross-Sectional Survey (2019-2021). Ecol Food Nutr. 2025 May-Jun;64(3):171-184. DOI: https://doi.org/10.1080/03670244.2025.2490532 PMid:40267003

Jaacks LM, Awasthi A, Kalra A. India's Poshan Tracker: data-driven tool for maternal and child nutrition. Lancet Reg Health Southeast Asia. 2024 Mar 11;25:100381. DOI: https://doi.org/10.1016/j.lansea.2024.100381 PMid:39021482 PMCid:PMC467062

Thurstans S, Opondo C, Seal A, Wells J, Khara T, Dolan C, et al. Boys are more likely to be undernourished than girls: a systematic review and meta-analysis of sex differences in undernutrition. BMJ Glob Heal. 2020 Dec 15;5(12):e004030. DOI: https://doi.org/10.1136/bmjgh-2020-004030 PMid:33328202 PMCid:PMC7745319

Published

2025-12-01

How to Cite

1.
Gouroumourty R, Mohan R, Senthamaraikannan S, Kandasamy P. Harnessing Poshan Tracker to Detect Composite Index of Anthropometric Failure Among 0-3 Year Olds in Rural Puducherry. Natl J Community Med [Internet]. 2025 Dec. 1 [cited 2025 Dec. 2];16(12):1188-95. Available from: https://www.njcmindia.com/index.php/file/article/view/5850

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Original Research Articles

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