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Do tribal children experience elevated risk of poor nutritional status in India? A multilevel analysis

Published online by Cambridge University Press:  02 September 2020

Tulsi Adhikari
Affiliation:
ICMR-National Institute of Medical Statistics, New Delhi, India
Jeetendra Yadav
Affiliation:
ICMR-National Institute of Medical Statistics, New Delhi, India
Niharika Tripathi*
Affiliation:
ICMR-National Institute of Medical Statistics, New Delhi, India
Himanshu Tolani
Affiliation:
ICMR-National Institute of Medical Statistics, New Delhi, India
Harpreet Kaur
Affiliation:
ICMR-National Institute of Medical Statistics, New Delhi, India
M. Vishnu Vardhana Rao
Affiliation:
ICMR-National Institute of Medical Statistics, New Delhi, India
*
*Corresponding author. Email: [email protected]

Abstract

Economic progress in India over the past three decades has not been accompanied by a commensurate improvement in the nutritional status of children, and a disproportionate burden of undernutrition is still focused on socioeconomically disadvantaged populations in the poorest regions. This study examined the nutritional status of children under 3 years of age using data from the fourth round of Indian National Family Health Survey conducted in 2015–2016. Child undernutrition was assessed in a sample of 126,431 under-3 children using the anthropometric indices of stunting, underweight and wasting (‘anthropometric failure’) across 640 districts, 5489 primary sampling units and 35 states/UTs of India. Descriptive statistics were used to examine the regional pattern of childhood undernutrition. Multilevel logistic regression models were fitted to examine the adjusted effect of social group (tribal vs non-tribal) and economic, demographic and contextual factors on the risks of stunting, underweight and wasting accounting for the hierarchical nature of the data. Interaction effects were estimated to model the joint effects of socioeconomic position (household wealth, maternal education, urban/rural residence and geographical region) and social group (tribal vs non-tribal) with the likelihood of anthropometric failure among children. The burden of childhood undernutrition was found to vary starkly across social, economic, demographic and contextual factors. Interaction effects demonstrated that tribal children from economically poorer households, with less-educated mothers, residing in rural areas and living in the Central region of India had elevated odds of anthropometric deprivation than other tribal children. The one-size-fits-all approach to tackling undernutrition in tribal children may not be efficient and could be counterproductive.

Type
Research Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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References

Alderman, H, Hoddinott, J and Kinsey, B (2006) Long term consequences of early childhood malnutrition. Oxford Economic Papers 58(3), 450474.CrossRefGoogle Scholar
Amugsi, DA, Mittelmark, MB and Lartey, A (2013) An analysis of socio-demographic patterns in child malnutrition trends using Ghana Demographic and Health Survey data in the period 1993–2008. BMC Public Health 13, 960.CrossRefGoogle ScholarPubMed
Arunkumar, N and Hidhayathulla, A (2015) Measuring poverty through child malnutrition, a study with special reference to Arumbavur village at Perambalur district. Journal of Economics and Finance 6(2), 1013.Google Scholar
Barker, DJ and Osmond, C (1986) Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales. Lancet 327(8489), 10771081.CrossRefGoogle Scholar
Bawdekar, M and Ladusingh, L (2008) Contextual correlates of child malnutrition in rural Maharashtra. Journal of Biosocial Science 40(5), 771786.CrossRefGoogle ScholarPubMed
Bhutta, ZA (2016) What does India need to do to address childhood malnutrition at scale? Social Science & Medicine 157, 186188.CrossRefGoogle Scholar
Buis, ML (2010) Interpretation of interactions in nonlinear models. Stata Journal 10(2), 305308.CrossRefGoogle Scholar
Chowdhury, MRK, Rahman, MS, Khan, MMH, Mondal, MNI, Rahman, MM and Billah, B (2016) Risk factors for child malnutrition in Bangladesh: a multilevel analysis of a nationwide population-based survey. Journal of Pediatrics 172, 194201.CrossRefGoogle ScholarPubMed
Debnath, A and Bhattacharjee, N (2014) Factors associated with malnutrition among tribal children in India: a non-parametric approach. Journal of Tropical Pediatrics 60(3), 211215.CrossRefGoogle ScholarPubMed
Debnath, A and Bhattacharjee, N (2016) Understanding malnutrition of tribal children in India: the role of women’s empowerment. Ecology of Food and Nutrition 55(6), 508527.CrossRefGoogle ScholarPubMed
Desai, S and Thorat, A (2013) Beyond the great Indian nutrition debate. Economic and Political Weekly 48 (45/46), 1822.Google Scholar
Development Initiatives (2017) The Global Nutrition Report: Nourishing the SDGs. Development Initiatives, Bristol, UK.Google Scholar
Dewey, KG and Begum, K (2011) Long-term consequences of stunting in early life. Maternal and Child Nutrition 7(s3), 518.CrossRefGoogle ScholarPubMed
Dey, U and Bisai, S (2019) The prevalence of under-nutrition among tribal children in India: a systematic review. Anthropological Review 82(2), 203217.CrossRefGoogle Scholar
Di Cesare, M, Bhatti, Z, Soofi, SB, Fortunato, L, Ezzati, M and Bhutta, ZA (2015) Geographical and socioeconomic inequalities in women and children’s nutritional status in Pakistan in 2011: an analysis of data from a nationally representative survey. The Lancet Global Health 3(4), e229e39 CrossRefGoogle ScholarPubMed
Eeckhaut, MCW (2020) Intersecting inequalities: education, race/ethnicity, and sterilization. Journal of Family Issues, doi: 10.1177/0192513X19900529.CrossRefGoogle Scholar
Ghosh, S and Varerkar, SA (2019) Undernutrition among tribal children in Palghar district, Maharashtra, India. PLoS One 14(2), e0212560.CrossRefGoogle ScholarPubMed
Government of India (2013) The National Food Security Act. URL: http://www.egazette.nic.in/WriteReadData/2013/E_29_2013_429.pdf (accessed 10th January 2020).Google Scholar
Hertzman, C (2010) Tackling inequality: catch them when they’re young. British Medical Journal 340(7742), 346348.Google Scholar
IFPRI (2014) Global Nutrition Report, Actions and Accountability to Accelerate the World’s Progress on Nutrition. International Food Policy Research Institute, Washington, DC.Google Scholar
IIPS (1995) National Family Health Survey (Maternal and Child Health and Family Planning), India 1992–93. IIPS, Bombay, India.Google Scholar
IIPS and ICF (2017) National Family Health Survey (NFHS-4), 2015-16. IIPS, Mumbai, India.Google Scholar
India State-Level Disease Burden Initiative Malnutrition Collaborators (2019) The burden of child and maternal malnutrition and trends in its indicators in the states of India: the Global Burden of Disease Study 1990–2017. The Lancet Child and Adolescent Health 3, 855870.CrossRefGoogle Scholar
Kamal, MM, Hasan, MM and Davey, R (2015) Determinants of childhood morbidity in Bangladesh: evidence from the Demographic and Health Survey 2011. BMJ Open 5(10), e007538.CrossRefGoogle ScholarPubMed
Kar, BR, Rao, SL and Chandramouli, B (2008) Cognitive development in children with chronic protein energy malnutrition. Behavioral and Brain Functions 4(1), 31.CrossRefGoogle ScholarPubMed
Kim, R, Rajpal, S, Joe, W, Corsi, D, Sankar, R, Kumar, A and Subramanian, SV (2019) Assessing associational strength of 23 correlates of child anthropometric failure: an econometric analysis of the 2015–2016 National Family Health Survey, India. Social Science & Medicine 238, 112374.CrossRefGoogle ScholarPubMed
Kiros, GE, White, MJ (2004) Migration, community context, and child immunization in Ethiopia. Social Science & Medicine 59, 26032616.CrossRefGoogle ScholarPubMed
Krishna, A, Oh, J, Perkins, JM, Lee, H, Heo, J, Lee, J et al. (2018) Is there a female disadvantage in child undernutrition in South India? Exploring gender differences in height in infancy, childhood, and adolescence in Andhra Pradesh and Telangana. American Journal of Human Biology 31, e23153.Google Scholar
Kshatriya, GK and Ghosh, A (2008) Undernutrition among the tribal children in India: tribes of coastal, Himalayan, and desert ecology. Anthropologischer Anzeiger 66(3), 355363.CrossRefGoogle ScholarPubMed
Kumar, A and Ram, F (2013) Influence of family structure on child health: evidence from India. Journal of Biosocial Science 45, 577599.CrossRefGoogle ScholarPubMed
Lakshminarayanan, S and Jayalakshmy, R (2015) Diarrheal diseases among children in India: current scenario and future perspectives. Journal of Natural Science, Biology and Medicine 6(1), 24.CrossRefGoogle ScholarPubMed
Martorell, R (1999) The nature of child malnutrition and its long-term implications. Food and Nutrition Bulletin 20(3), 288292.CrossRefGoogle Scholar
Menon, P, Headey, D, Avula, R and Nguyen, PH (2018) Understanding the geographical burden of stunting in India: a regression-decomposition analysis of district level data from 2015–2016. Maternal and Child Nutrition 14(4), e12620.CrossRefGoogle Scholar
Mihrete, TS, Alemia, GA and Teferra, AS (2014) Determinants of childhood diarrhea among under five children in Benishangul Gumuz regional state, North West Ethiopia. BMC Pediatrics 14(1), 102.CrossRefGoogle Scholar
Pathak, PK and Singh, A (2011) Trends in malnutrition among children in India: growing inequalities across different economic groups. Social Science & Medicine 73(4), 576585.CrossRefGoogle ScholarPubMed
Rajpal, S, Kim, R, Sankar, R, Kumar, A, Joe, W and Subramanian, SV (2020) Frequently asked questions on child anthropometric failures in India. Economic and Political Weekly 55(6), 5964.Google Scholar
Singh, A (2011) Inequality of opportunity in Indian children: the case of immunization and nutrition. Population Research and Policy Review 30(6), 861883.CrossRefGoogle Scholar
Singh, DK, Alagarajan, M and Ladusingh, L (2015) What explains child malnutrition of indigenous people of Northeast India? PLoSOne 10(6), e0130567h.CrossRefGoogle Scholar
Singh, S, Srivastava, S and Upadhyay, AK (2019) Socio-economic inequality in malnutrition among children in India: an analysis of 640 districts from National Family Health Survey (2015–16). International Journal for Equity in Health 18(203), doi: 10.1186/s12939-019-1093-0.CrossRefGoogle Scholar
Snijders, TAB and Bosker, RJ (1999) Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. Sage Publications, London.Google Scholar
Subramanyam, M, Kawachi, I, Berkman, L and Subramanian, SV (2010) Socioeconomic inequalities in childhood undernutrition in India: analyzing trends between 1992 and 2005. PLoS One 5(6), e11392.CrossRefGoogle ScholarPubMed
Tsiko, RG (2015) Bayesian spatial analysis of childhood diseases in Zimbabwe. BMC Public Health 15(842), doi: 10.1186/s12889-015-2182-7 CrossRefGoogle ScholarPubMed
UNICEF (1990) Strategy for Improved Nutrition of Children and Women in Developing Countries. A UNICEF Policy Review. UNICEF, New York, NY.Google Scholar
Van de Poel, E and Speybroeck, N (2010) Decomposing malnutrition inequalities between Schedules Castes and Tribes and the remaining Indian population. Ethnicity and Health 14(3), 271287.CrossRefGoogle Scholar
Victora, CG, Adair, L, Fall, C, Hallal, PC, Martorell, R, Richter, L and Sachdev, HS (2008) Maternal and child undernutrition: consequences for adult health and human capital. The Lancet 371(9609), 340357.CrossRefGoogle ScholarPubMed
Vikram, K and Vanneman, R (2020) Maternal education and multidimensionality of child health outcomes in India. Journal of Biosocial Science 52, 5777.CrossRefGoogle ScholarPubMed
WHO (2006) WHO Child Growth Standard: World Health Organization, Geneva. URL: https://www.who.int/childgrowth/standards/Technical_report.pdf.Google Scholar
Williams, R (2012) Using the margins command to estimate and interpret adjusted predictions and marginal effects. Stata Journal 12(2), 308331.CrossRefGoogle Scholar