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HEALTH CARE UTILIZATION, SOCIOECONOMIC FACTORS AND CHILD HEALTH IN INDIA

Published online by Cambridge University Press:  09 June 2011

ALOK BHARGAVA ,
ARAVINDA M. GUNTUPALLI  and
MICHAEL LOKSHIN
ALOK BHARGAVA
Affiliation:
Department of Economics, University of Houston, Houston, TX, USA
ARAVINDA M. GUNTUPALLI
Affiliation:
University of Southampton, Southampton, UK
MICHAEL LOKSHIN
Affiliation:
The World Bank, Washington, DC, USA
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Summary

This paper models the proximate determinants of height, weight and haemoglobin concentration of over 25,000 Indian children using data from the National Family Health Survey-3. The effects of public and private health care service utilization, food consumption patterns and maternal health status on child health were investigated in a multidisciplinary framework. Methodological issues such as potential endogeneity of explanatory variables and the appropriateness of combining height and weight as the body mass index were tackled. The results from models for children's heights and weight showed beneficial effects of child vaccinations against DPT, polio and measles, and negative effects of not utilizing government health facilities. The models for children's haemoglobin concentration indicated beneficial effects of food consumption patterns and treatment against intestinal parasites. The results provide several insights for improving child health in India.

Type
Research Article
Information
Journal of Biosocial Science , Volume 43 , Issue 6 , November 2011 , pp. 701 - 715
Copyright
Copyright © Cambridge University Press 2011

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References

Bhargava, A. (2003). Family planning, gender differences and infant mortality: evidence from Uttar Pradesh, India. Journal of Econometrics 112, 225–240.CrossRefGoogle Scholar
Bhargava, A. (1994) Modelling the health of Filipino children. Journal of the Royal Statistical Society Series A 157, 417–432.CrossRefGoogle Scholar
Bhargava, A., Bouis, H. E. & Scrimshaw, N. S. (2001a) Dietary intakes and socioeconomic factors are associated with the hemoglobin concentration of Bangladeshi women. Journal of Nutrition 131, 758–764.CrossRefGoogle ScholarPubMed
Bhargava, A., Chowdhury, S. & Singh, K. K. (2005) Healthcare infrastructure, contraceptive use and infant mortality in Uttar Pradesh, India. Economics and Human Biology 3, 388–404.CrossRefGoogle ScholarPubMed
Bhargava, A., Jamison, D., Lau, L. & Murray, C. (2001b) Modeling the effects of health on economic growth. Journal of Health Economics 20, 423–440.CrossRefGoogle ScholarPubMed
Cleland, J. & Sathar, Z. (1984) The effect of birth spacing on childhood mortality in Pakistan. Population Studies 38, 401–418.CrossRefGoogle ScholarPubMed
Cole, T. J. (1991) Weight-stature indices to measure underweight, overweight, and obesity. In Himes, J. (ed.) Anthropometric Assessment of Nutritional Status. Wiley-Liss, New York, pp. 83–111.Google Scholar
Cronbach, L. (1984) Essentials of Psychological Testing, 4th edn. Harper and Row, New York.Google Scholar
Dallman, P. & Siimes, M. (1979) Percentile curves for hemoglobin and red cell volume in infancy and childhood. Journal of Pediatrics 94, 26–31.CrossRefGoogle ScholarPubMed
Dangour, A., Hill, H. & Ismail, S. (2002) Height, weight and haemoglobin status of 6 to 59-month-old Kazakh children living in Kyzl-Orda region, Kazakhstan. European Journal of Clinical Nutrition 56, 1030–1038.CrossRefGoogle ScholarPubMed
Dewey, K. & Cohen, R. (2007) Does birth spacing affect maternal or child nutritional status? A systematic literature review. Maternal and Child Nutrition 3, 151–173.CrossRefGoogle ScholarPubMed
Ehrenberg, A. (1968) The elements of lawlike relationship. Journal of the Royal Statistical Society A 131, 280–302.CrossRefGoogle Scholar
Hobcraft, J., McDonald, J. & Rutstein, S. (1983) Child spacing effects on infant and early child mortality. Population Index 49, 585–618.CrossRefGoogle Scholar
International Institute for Population Sciences (2007) National Family Health Survey-3. IIPS, Mumbai.Google Scholar
Kronmal, R. (1993) Spurious correlation and the fallacy of the ratio standard revisited. Journal of the Royal Statistical Society A 156, 379–392.CrossRefGoogle Scholar
Martorell, R. & Habicht, J.-P. (1986) Growth in early childhood in developing countries. In Falkner, F., & Tanner, J. (eds) Human Growth, Vol. 3. Plenum, New York, pp. 241–259.Google Scholar
Monsen, E. R., Hallberg, L., Layrisse, M., Hegstead, D. M., Cook, J. M., Mertz, W. & Finch, C. A. (1978) Estimation of available dietary iron. American Journal of Clinical Nutrition 31, 134–141.CrossRefGoogle ScholarPubMed
Muhuri, P. & Preston, S. (1991) Effects of family composition on mortality differentials by sex among children in Matlab, Bangladesh. Population and Development Review 21, 745–782.Google Scholar
National Rural Health Mission (2008) Major Stakeholders. URL: http://mohfw.nic.in/NRHM/stakeholders.htmGoogle Scholar
Pearson, K. (1897) Mathematical contributions to the theory of evolution – on a form of spurious correlation which may arise when indices are used in the measurement of organs. Proceedings of Royal Society of London 60, 489–497.Google Scholar
Peters, D., Yazbeck, A., Sharma, R., Ramana, G., Pritchett, L. & Wagstaff, A. (2002) Better Health Systems for India's Poor. World Bank, Washington, DC.CrossRefGoogle Scholar
Rao, C. R. (1948) Large sample tests of statistical hypotheses concerning several parameters with applications to problems of estimation. Proceedings of the Cambridge Philosophical Society 44, 50–57.Google Scholar
Sargan, J. D. (1958) The estimation of economic relationships using instrumental variables. Econometrica 26, 393–415.CrossRefGoogle Scholar
Scrimshaw, N. S., Taylor, C. E. & Gordon, J. E. (1959) Interactions of nutrition and infection. American Journal of Medical Sciences 237, 367–403.Google ScholarPubMed
STATA (2008) Stata Version 10. College Station, TX.Google Scholar
Subramanian, S., Ackerson, L., Smith, G. D. & John, N. (2009) Association of maternal height with child mortality, anthropometric failure, and anemia in India. Journal of the American Medical Association 301, 1691–1701.CrossRefGoogle ScholarPubMed
Tengco, L., Rayco-Solon, P., Solon, J., Sarol, J. & Solon, F. (2008) Determinants of anemia among preschool children in the Philippines. Journal of the American College of Nutrition 27, 229–243.CrossRefGoogle ScholarPubMed
United Nations (2009) Millennium Development Goals Report. URL: http://www.un.org/millenniumgoals/pdf/MDG_Report_2009_ENG.pdf)Google Scholar
Willett, W. (1998) Nutritional Epidemiology. Oxford University Press, Oxford.CrossRefGoogle Scholar