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Indicators of Child Malnutrition among Different Social Groups in West Bengal, India: An Analysis Based on National Family Health Survey (NFHS-V)

Author

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  • Eva Ghosh

    (Jadavpur University)

  • Sushil Kr. Haldar

    (Jadavpur University)

Abstract

An attempt has been made here to examine the probable indicators associated with the child underweight belonging to the age group 0–5 years across different socio-ethnic groups in West Bengal, India using National Family Health Survey NFHS-V (2019–2021) data. Multilevel logistic regression models are employed to examine the direct and joint effects of child background such as gender, birth weight etc., maternal characteristics such as mothers’ education, BMI, Anemia status etc., and socioeconomic characteristics like wealth class, caste etc. on the underweight children. We find that indicators from different axes such as gender, birth weight, place of delivery, mother’s education, mother’s BMI level, household wealth quintiles and social class significantly impact the probability of being underweight among children. The findings of the interactive variables suggest that female children belonging to the poorest of the poor families and disadvantaged groups residing in rural areas exhibit a higher probability of being underweight. The interactive and joint effects results suggest implementing disaggregated public health policies. We recommend integrating the existing health policies to the poverty eradication programme to obtain a socially desirable result of nutritional equity among the children.

Suggested Citation

  • Eva Ghosh & Sushil Kr. Haldar, 2024. "Indicators of Child Malnutrition among Different Social Groups in West Bengal, India: An Analysis Based on National Family Health Survey (NFHS-V)," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(6), pages 2671-2690, December.
    • Handle: RePEc:spr:chinre:v:17:y:2024:i:6:d:10.1007_s12187-024-10180-z
    DOI: 10.1007/s12187-024-10180-z
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    1. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    2. Udaya Mishra & Rudra Narayan Mishra, 2009. "On comparison of nutritional deprivation: an illustration using Foster Greer Thorbecke criterion," Applied Economics Letters, Taylor & Francis Journals, vol. 16(10), pages 1021-1024.
    3. Poulomi Roy & Soma Ray & Sushil Kumar Haldar, 2019. "Socio-economic Determinants of Multidimensional Poverty in Rural West Bengal: A Household Level Analysis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 603-622, September.
    4. Simantini Mukhopadhyay, 2011. "Using the Mean of Squared Deprivation Gaps to Measure Undernutrition and Related Socioeconomic Inequalities," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 12(4), pages 535-556, November.
    5. Rudra Narayan Mishra, 2006. "Dynamics of caste-based deprivation in child under-nutrition in India," Centre for Development Studies, Trivendrum Working Papers 380, Centre for Development Studies, Trivendrum, India.
    6. Gargi Bhattacharya & Sushil Kr. Haldar, 2015. "Does demographic dividend yield economic dividend? India, a case study," Economics Bulletin, AccessEcon, vol. 35(2), pages 1274-1291.
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