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Published in: International Journal for Equity in Health 1/2016

Open Access 01-12-2016 | Research

Social determinants of inequities in under-nutrition (weight-for-age) among under-5 children: a cross sectional study in Gumla district of Jharkhand, India

Authors: Keya Chatterjee, Rajesh Kumar Sinha, Alok Kumar Kundu, Dhananjay Shankar, Rajkumar Gope, Nirmala Nair, Prasanta K Tripathy

Published in: International Journal for Equity in Health | Issue 1/2016

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Abstract

Background

Jharkhand, a state with substantial tribal population in Eastern India has very high rate of undernutrition. The study tries to understand the social determinants of inequities in under-nutrition (weight-for-age) among children aged less than 5 years, in Gumla District of the State.

Methods

Cross sectional study of 1070 children from 32 villages of 4 Blocks of Gumla District.

Results

54.3 % (95 % CI 51.3–57.3) children were found to be underweight (less than -2SD), with insignificant difference between girls and boys. Multivariate analysis showed that poverty was the single most important predictor of undernutrition, where a child from the poorest quintile was 70 % more likely to be underweight (aOR 1.70, CI 1.13–2.57), compared to one from the least poor group (Quintile 5). While the difference in weight-for-age status between Scheduled Tribes and “OBC and other communities” was non-significant (95 % OR 1.12, CI 0.88–1.42) in the study context; community disaggregated data revealed that there were large variations within the tribal community, and numerically smaller communities also ranked lower in wealth, and their children showed poorer nutritional status. Other factors like maternal education beyond matriculation level also had some bearing. Bivariate analysis showed that chances of a child being underweight (<−2SD) was 43 % more and being severely underweight (<−3SD) was 26 % more for mothers with less than 10 years of schooling compared to those who had attended school for more than 10 years. Educational attainment of mothers did not show any significant difference between tribal and non-tribal communities.

Conclusion

Overall nutritional status of children in Gumla is very grim and calls for immediate interventions, with universal coverage. Risk was almost equal for both genders, and for tribal and non-tribal population, though within tribal communities, it was slightly higher for smaller tribal communities, calling for soft targeting. Comprehensive programme addressing poverty and higher education for girls would be important to overcome the structural barriers, and should be integral part of any intervention. The study highlights the importance of soft targeting vulnerable communities within the universal coverage of government programmes for better nutritional outcomes.
Footnotes
1
Government of India, Population Census of India, 2011, Office of Registrar General and Census Commissioner, Ministry of Home Affairs, Government of India.
 
2
Calculated using RSBY data of targeted families. Available http://​www.​rsby.​gov.​in/​Statewise.​aspx?​state=​30 accessed on 16.8.2015.
 
Literature
1.
go back to reference Grantham-McGregor S, Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B, International Child Development Steering Group. Developmental potential in the first 5 years for children in developing countries. Lancet. 2007;369(9555):60–70.CrossRefPubMedPubMedCentral Grantham-McGregor S, Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B, International Child Development Steering Group. Developmental potential in the first 5 years for children in developing countries. Lancet. 2007;369(9555):60–70.CrossRefPubMedPubMedCentral
3.
go back to reference Black RE, Allen LH, Bhutta ZA, Caulfield LE, De Onis M, Ezzati M, Maternal and Child Undernutrition Study Group. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet. 2008;371(9608):243–60.CrossRefPubMed Black RE, Allen LH, Bhutta ZA, Caulfield LE, De Onis M, Ezzati M, Maternal and Child Undernutrition Study Group. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet. 2008;371(9608):243–60.CrossRefPubMed
4.
go back to reference Commission on Social Determinants of Health. A conceptual framework for action on the social determinants of health. Geneva: World Health Organization; 2007. p. 17–57. Commission on Social Determinants of Health. A conceptual framework for action on the social determinants of health. Geneva: World Health Organization; 2007. p. 17–57.
6.
go back to reference Macinko J et al. Income Inequality and Health: A critical Review of the Literature. Med Care Res Rev. 2006;60(4):407–52.CrossRef Macinko J et al. Income Inequality and Health: A critical Review of the Literature. Med Care Res Rev. 2006;60(4):407–52.CrossRef
7.
go back to reference Kunst A, Mackenbach J. Measuring socioeconomic inequalities in Health. Copenhagen: WHO Regional Office Europe; 2000. Kunst A, Mackenbach J. Measuring socioeconomic inequalities in Health. Copenhagen: WHO Regional Office Europe; 2000.
9.
go back to reference Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan. 2006;21(6):459–68.CrossRefPubMed Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan. 2006;21(6):459–68.CrossRefPubMed
10.
go back to reference Cochrane SH, Leslie J, O’Hara DJ. Parental education and child health: intra country evidence. Health Policy Educ. 1982;2(3):213–50.CrossRefPubMed Cochrane SH, Leslie J, O’Hara DJ. Parental education and child health: intra country evidence. Health Policy Educ. 1982;2(3):213–50.CrossRefPubMed
11.
go back to reference Basu AM, Stephenson R. Low levels of maternal education and the proximate determinants of childhood mortality: a little learning is not a dangerous thing. Soc Sci Med. 2005;60(9):2011–23.CrossRefPubMed Basu AM, Stephenson R. Low levels of maternal education and the proximate determinants of childhood mortality: a little learning is not a dangerous thing. Soc Sci Med. 2005;60(9):2011–23.CrossRefPubMed
12.
go back to reference Cleland JG, Van Ginneken JK. Maternal education and child survival in developing countries: the search for pathways of influence. Soc Sci Med. 1988;27(12):1357–68.CrossRefPubMed Cleland JG, Van Ginneken JK. Maternal education and child survival in developing countries: the search for pathways of influence. Soc Sci Med. 1988;27(12):1357–68.CrossRefPubMed
13.
go back to reference Engle PL, Menon P, Haddad L. Care and nutrition: concepts and measurement. World Dev. 1999;27(8):1309–37.CrossRef Engle PL, Menon P, Haddad L. Care and nutrition: concepts and measurement. World Dev. 1999;27(8):1309–37.CrossRef
14.
go back to reference Desai S, Alva S. Maternal education and child health: Is there a strong causal relationship?”. Demography. 1998;35(1):71–81.CrossRefPubMed Desai S, Alva S. Maternal education and child health: Is there a strong causal relationship?”. Demography. 1998;35(1):71–81.CrossRefPubMed
16.
go back to reference Parashar S. Moving beyond the mother-child dyad: women’s education, child immunization, and the importance of context in rural India. Soc Sci Med. 2005;61(5):989–1000.CrossRefPubMed Parashar S. Moving beyond the mother-child dyad: women’s education, child immunization, and the importance of context in rural India. Soc Sci Med. 2005;61(5):989–1000.CrossRefPubMed
17.
go back to reference Reed BA, Habicht J-P, Niameogo C. The effects of maternal education on child nutritional status depend on socio-environmental conditions. Int J Epidemiol. 1996;25(3):585–92.CrossRefPubMed Reed BA, Habicht J-P, Niameogo C. The effects of maternal education on child nutritional status depend on socio-environmental conditions. Int J Epidemiol. 1996;25(3):585–92.CrossRefPubMed
19.
go back to reference Bornstein MH, Putnick DL, Bradley RH, Lansford JE, Deater-Deckard K. Pathways among Caregiver Education, Household Resources, and Infant Growth in 39 Low-and Middle-Income Countries. Infancy. 2015;20(4):353-376. DOI:10.1111/infa.12086.CrossRefPubMedPubMedCentral Bornstein MH, Putnick DL, Bradley RH, Lansford JE, Deater-Deckard K. Pathways among Caregiver Education, Household Resources, and Infant Growth in 39 Low-and Middle-Income Countries. Infancy. 2015;20(4):353-376. DOI:10.1111/infa.12086.CrossRefPubMedPubMedCentral
20.
go back to reference Desai S, Alva S. Maternal education and child health: Is there a strong causal relationship? Demography. 1998;35(1):71–81.CrossRefPubMed Desai S, Alva S. Maternal education and child health: Is there a strong causal relationship? Demography. 1998;35(1):71–81.CrossRefPubMed
21.
go back to reference Malhotra A, Warner A, McGonagle A, Lee-Rife S. Solutions to End Child Marriage. Washington: International Center for Research on Women; 2011. Malhotra A, Warner A, McGonagle A, Lee-Rife S. Solutions to End Child Marriage. Washington: International Center for Research on Women; 2011.
22.
go back to reference Caldwell JC, Reddy PH, Caldwell P. The causes of marriage change in South India. Popul Stud. 1983;37(3):343–61.CrossRef Caldwell JC, Reddy PH, Caldwell P. The causes of marriage change in South India. Popul Stud. 1983;37(3):343–61.CrossRef
23.
go back to reference Lee-Rife S, Malhotra A, Warner A, Glinski AM. What works to prevent child marriage: A review of the evidence. Stud Fam Plann. 2012;43(4):287–303.CrossRefPubMed Lee-Rife S, Malhotra A, Warner A, Glinski AM. What works to prevent child marriage: A review of the evidence. Stud Fam Plann. 2012;43(4):287–303.CrossRefPubMed
25.
go back to reference Raj A, Saggurti N, Winter M, Labonte A, Decker MR, Balaiah D, Silverman JG. The effect of maternal child marriage on morbidity and mortality of children under 5 in India: cross sectional study of a nationally representative sample. BMJ. 2010;340:b4258.CrossRefPubMedPubMedCentral Raj A, Saggurti N, Winter M, Labonte A, Decker MR, Balaiah D, Silverman JG. The effect of maternal child marriage on morbidity and mortality of children under 5 in India: cross sectional study of a nationally representative sample. BMJ. 2010;340:b4258.CrossRefPubMedPubMedCentral
26.
go back to reference Ruel MT et al. Good care practices can mitigate the negative effects of poverty and low maternal schooling on children’s nutritional status: Evidence from Accra. World Dev. 1999;27(11):1993–2009.CrossRef Ruel MT et al. Good care practices can mitigate the negative effects of poverty and low maternal schooling on children’s nutritional status: Evidence from Accra. World Dev. 1999;27(11):1993–2009.CrossRef
27.
go back to reference Prost A, Colbourn T, Seward N, et al. Women’s groups practising participatory learning and action to improve maternal and newborn health in low-resource settings: a systematic review and meta-analysis. Lancet. 2013;381(9879):1736–46.CrossRefPubMedPubMedCentral Prost A, Colbourn T, Seward N, et al. Women’s groups practising participatory learning and action to improve maternal and newborn health in low-resource settings: a systematic review and meta-analysis. Lancet. 2013;381(9879):1736–46.CrossRefPubMedPubMedCentral
28.
go back to reference Tripathy P, Nair N, Barnett S, et al. Effect of a participatory intervention with women’s groups on birth outcomes and maternal depression in Jharkhand and Orissa, India: a cluster-randomised controlled trial. Lancet. 2010;375(9721):1182–92.CrossRefPubMed Tripathy P, Nair N, Barnett S, et al. Effect of a participatory intervention with women’s groups on birth outcomes and maternal depression in Jharkhand and Orissa, India: a cluster-randomised controlled trial. Lancet. 2010;375(9721):1182–92.CrossRefPubMed
29.
go back to reference Ruel, M. T., Alderman, H., & Maternal and Child Nutrition Study Group. Nutrition-sensitive interventions and programmes: how can they help to accelerate progress in improving maternal and child nutrition? Lancet. 2013;382(9891):536–51.CrossRef Ruel, M. T., Alderman, H., & Maternal and Child Nutrition Study Group. Nutrition-sensitive interventions and programmes: how can they help to accelerate progress in improving maternal and child nutrition? Lancet. 2013;382(9891):536–51.CrossRef
30.
go back to reference Victora CG, Barros FC. Participatory Women’s Groups: Ready for prime time? Lancet. 2013;381:1693–4.CrossRefPubMed Victora CG, Barros FC. Participatory Women’s Groups: Ready for prime time? Lancet. 2013;381:1693–4.CrossRefPubMed
Metadata
Title
Social determinants of inequities in under-nutrition (weight-for-age) among under-5 children: a cross sectional study in Gumla district of Jharkhand, India
Authors
Keya Chatterjee
Rajesh Kumar Sinha
Alok Kumar Kundu
Dhananjay Shankar
Rajkumar Gope
Nirmala Nair
Prasanta K Tripathy
Publication date
01-12-2016
Publisher
BioMed Central
Published in
International Journal for Equity in Health / Issue 1/2016
Electronic ISSN: 1475-9276
DOI
https://doi.org/10.1186/s12939-016-0392-y

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