DOI: http://dx.doi.org/10.18203/2394-6040.ijcmph20213023

Burden of undernutrition among children of 12-59 months living in a slum of Kolkata: a cross-sectional study

Aparajita Dasgupta, Nidhi Shree, Bobby Paul, Lina Bandyopadhyay, Soumit Roy, Neelam Maurya, Foulisa Pyrbot

Abstract


Background: Children living in slums are often deprived of good health. Their predisposition to malnutrition, makes them vulnerable to various infections and deficiency disorders affecting their growth. The objective of the study was to assess the nutritional status of 12-59 months children using Composite Index of Anthropometric Failure, to find out their morbidity profile, dietary diversity scores and to determine factors associated with CIAF.

Methods: Study was conducted among 115 children of 12-59 months age, living in Chetla slum, Kolkata, West Bengal from July to October 2019. A pre-designed, pre-tested schedule containing their sociodemographic characteristics, morbidity profile, dietary diversity and anthropometric measurements were used to collect the data. World Health Organization (WHO) Anthro. Ink 11 software was used to calculate the z scores Data was analysed in Microsoft Excel 2016 and Statistical package for social sciences (SPSS) version 16.

Results: Mean age (SD) of study participants was 30.77 (7) months. 43.5% children had CIAF. Proportion of underweight, stunting, weight for height and mid upper arm circumference wise malnutrition were 16.5%, 27.8%, 14.8% and 43% respectively. Majority, 87.8% had low dietary diversity and 38% had morbidity.

Conclusions: The proportion of CIAF was found high in the study. Low birth weight, single living child, absence of exclusive breastfeeding practice and dietary diversity were significantly associated in univariate analysis. CIAF gives a single convenient complete picture for malnutrition compared to other conventional interpretation methods, this it can be included in child health programmes. Enlightening the care givers of under-five by health education and health promotional programmes can prevent malnutrition from occurring.

 


Keywords


CIAF, Dietary diversity, Stunting

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References


Indian Institute for Population Sciences (IIPS) and MoHFW. National Family Health Survey -4. 2017. http://rchiips.org/nfhs/pdf/NFHS4/India.pdf. Accessed June 12, 2017.

Svedberg P. Can indicators of child malnutrition be improved – and for what purposes? Taking action for the world’s poor and hungry people. Beijing, China. 2007.

Sachdev HPS. Assessing Child Malnutrition - Some Basic Issues. Nutritional Foundation of India archives 156. New Delhi: NFI. 1996.

Van den Broeck J, Willie D, Younger N. The World Health Organization child growth standards: expected implications for clinical and epidemiological research. Eur J Pediatr. 2009;168(2):247-51.

United Nations system standing committee on nutrition: Report of the standing committee on nutrition at its thirty-third session. WHO; 2006. http://www.unscn.org/files/Annual_Sessions/ 33rd_SCN_Session/33rd_session_REPORT.pdf. Accessed on 22nd February, 2015.

World Health Organization. Expert Committee on nutrition and physical status: Uses and interpretations of anthropometry Geneva: WHO. 1995. Accessed on 22nd February, 2021.

Svedberg P. Poverty and under nutrition - Theory, measurement and Policy. New Delhi: Oxford India Paperbacks. 2000.

Nandy SM, Irving M, Gordon D, Subramanian SV, Davey Smith G. Poverty, child undernutrition and morbidity: new evidence from India. Bull World Health Organ. 2005;( 83):210-6.

Roy K, Dasgupta A, Roychoudhary N, Bandyopadhyay L,Mandal S, Paul B. Assesment of undernutrition with composite index of anthropometric failure (CIAF) among under-five children in rural area of West Bengal, India. Int j Contemp Pediatr. 2018;5:1651-6.

Mukhopadhyay DK, Biswas AB. Food security and anthropometric failure among tribal children in Bankura, West Bengal. Indian Pediatr. 2011;48(4):311-4.

Shit S, Taraphdar P, Mukhopadhyay DK, Sinhababu A, Biswas AB. Assessment of nutritional status by composite index for anthropometric failure: a study among slum children in Bankura, West Bengal. Indian J Public Health. 2012;56(4):305-7.

Sen J, Mondal N. Socio-economic and demographic factors affecting the Composite Index of Anthropometric Failure (CIAF). Ann Hum Biol. 2012;39(2):129-36.

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(9):1963-6.

Khan REA, Jamal WN. Determinants of under-nutrition of primary school-age children: a case study of urban Bahawalpur. Paper presented at Proceedings of the 5th International Conference on Statistical Sciences, Mathematics, Statistics and Applications; January 23–5, 2009; Lahore, Pakistan. http://www.isoss.net/downloads/Proc5thconf.pdf#page=291. Accessed on 20th September, 2019.

Berger MR, Fields-Gardner C, Wagle A, Hollenbeck CB. Prevalence of malnutrition in human immunodeficiency virus/ acquired immunodeficiency syndrome orphans in the Nyanza province of Kenya: a comparison of conventional indexes with a composite index of anthropometric failure. J Am Diet Assoc. 2008;108(6):1014-7.

Lekprichakul T, Umetsu C, Yamauchi T. Child Growth as a Measure of Household Resilience: A Re-Examination of Child Nutrition Situation Using New Growth Reference Standard. Vulnerability and Resilience of Social-Ecological Systems. FR3 Project Report. 2010;98. http://www.chikyu.ac.jp/ resilience/files/ReportFY2009/FullReport2009. Accessed on 24th September 2019.

Dhone AB, Chitnis UB, Bhawalkar JS, Jadhav SL. Epidemiological study of under nutrition among under five years children in an urban slum. Med J DY Patil Univ. 2012;5(2):11-3.

FANTA. Developing and Validating Simple Indicators of Dietary Quality and Energy Intake of Infants and Young Children in Developing Countries: Summary of findings from analysis of 10 data sets. Working Group on Infant and Young Child Feeding Indicators. Food and Nutrition Technical Assistance (FANTA) Project, Academy for Educational Development (AED), Washington, D.C. 2006.