DEVELOPING MODELS TO PREDICT STUNTING AMONG 6-59 MONTHS CHILDREN IN A SLUM OF KOLKATA

Authors

  • Ranadip Chowdhury
  • Bireshwar Sinha
  • Mrinmoy Adhikary
  • Abhijit Mukherjee
  • Saibendu Kumar Lahiri

Abstract

Background: India is one among the many countries where child malnutrition is severe and is a major underlying cause of child mortality.  48 per cent of under five children in India are stunted and India accounts for more than 3 out of every 10 stunted children in the world. Even after implementation of the national nutritional programmes the magnitude of the problem remains at large, this necessitates a detailed analysis regarding the factors leading to stunting and to identify which group of factors to target first to make a significant effect.Methods: This  Community  based  cross-sectional  study was done  in  the service area of  Urban  Training  Centre  in  Baghbazar,  Kolkata  with  84  children  aged  6-59  months. Anthropometric measurements of the study population were done  using  standard methods and information regarding risk factors were collected from their parents using a pre-designed questionnaire. WHO Anthro for personal computers version3.2.2 (Z score) and SPSS version16.0 was used to analyse the data (multivariate logistic regression and ROC curve).  Results: The study indicates a 26.2% prevalence of stunting among the study population. To observe the risk factors for stunting two models were compared by creating ROC curves, a socio demographic factor model which explained 70% of the stunting in the population in comparison to the second model regarding the factors related to birth and feeding practices which explained 65%. Conclusion: The current study further emphasizes the need to implement relevant interventions to combat malnutrition in this region and other similar settings.

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Published

2013-09-30

How to Cite

1.
Chowdhury R, Sinha B, Adhikary M, Mukherjee A, Lahiri SK. DEVELOPING MODELS TO PREDICT STUNTING AMONG 6-59 MONTHS CHILDREN IN A SLUM OF KOLKATA. Indian J Community Health [Internet]. 2013 Sep. 30 [cited 2024 May 22];25(3):251-6. Available from: https://iapsmupuk.org/journal/index.php/IJCH/article/view/323

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Original Article