Ecological context of infant mortality in high-focus states of India
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OBJECTIVES: This goal of this study was to shed light on the ecological context as a potential determinant of the infant mortality rate in nine high-focus states in India. METHODS: Data from the Annual Health Survey (2010-2011), the Census of India (2011), and the District Level Household and Facility Survey 3 (2007-08) were used in this study. In multiple regression analysis explanatory variable such as underdevelopment is measured by the non-working population, and income inequality, quantified as the proportion of households in the bottom wealth quintile. While, the trickle-down effect of education is measured by female literacy, and investment in health, as reflected by neonatal care facilities in primary health centres. RESULTS: A high spatial autocorrelation of district infant mortality rates was observed, and ecological factors were found to have a significant impact on district infant mortality rates. The result also revealed that non-working population and income inequality were found to have a negative effect on the district infant mortality rate. Additionally, female literacy and new-born care facilities were found to have an inverse association with the infant mortality rate. CONCLUSIONS: Interventions at the community level can reduce district infant mortality rates.
Abstract
OBJECTIVES: This goal of this study was to shed light on the ecological context as a potential determinant of the infant mortality rate in nine high-focus states in India. METHODS: Data from the Annual Health Survey (2010-2011), the Census of India (2011), and the District Level Household and Facility Survey 3 (2007-08) were used in this study. In multiple regression analysis explanatory variable such as underdevelopment is measured by the non-working population, and income inequality, quantified as the proportion of households in the bottom wealth quintile. While, the trickle-down effect of education is measured by female literacy, and investment in health, as reflected by neonatal care facilities in primary health centres. RESULTS: A high spatial autocorrelation of district infant mortality rates was observed, and ecological factors were found to have a significant impact on district infant mortality rates. The result also revealed that non-working population and income inequality were found to have a negative effect on the district infant mortality rate. Additionally, female literacy and new-born care facilities were found to have an inverse association with the infant mortality rate. CONCLUSIONS: Interventions at the community level can reduce district infant mortality rates.
참고문헌 (30)
- "SRS bulletin sample registration system"[URL]
- "Census of India 2011: provisional population totals. Series 1" (2011)[URL]
- Manda SO, "Birth intervals, breastfeeding and determinants of childhood mortality in Malawi", Soc Sci Med, 48, pp.301~312 (1999)
- Mosley WH, "An analytical framework for the study of child survival in developing countries", Popul Dev Rev, 10, pp.25~45 (1984)
- Cleland JG, "Maternal education and child survival in developing countries : the search for pathways of influence", Soc Sci Med, 27, pp.1357~1368 (1988)
- Das Gupta M, "Death clustering, mothers’ education and the determinants of child mortality in rural Punjab, India", Popul Stud, 44, pp.489~505 (1990)
- Kishor S, "“May god give sons to all”: gender and child mortality in India", Am Sociol Rev, 58, pp.247~265 (1993)
- Kravdal Ø, "Child mortality in India: the community-level effect of education", Popul Stud (Camb), 58, pp.177~192 (2004)
- Deborah Balk D, "A spatial analysis of childhood mortality in West Africa", Popul Space Place, 10, pp.175~216 (2004)
- Ladusingh L, "Place, community education, gender and child mortality in North-east India", Popul Space Place, 12, pp.65~76 (2006)
- Singh A, "Infant and child mortality in India in the last two decades: a geospatial analysis", PLoS One, 6, pp.e26856~ (2011)
- Kumar C, "Under-five mortality in high focus states in India: a district level geospatial analysis", PLoS One, 7, pp.e37515~ (2012)
- Feinstein JS, "The relationship between socioeconomic status and health : a review of the literature", Milbank Q, 71, pp.279~322 (1993)
- James WL, "Does regional variation affect ecological mortality research? An examination of mortality, income inequality and health infrastructure in the Mississippi Delta", Popul Res Policy Rev, 25, pp.175~195 (2006)
- Farmer FL, "Poverty, primary care and age-specific mortality", J Rural Health, 7, pp.153~169 (1991)
- Politzer RM, "Primary care physician supply and the medically underserved. A status report and recommendations", JAMA, 266, pp.104~109 (1991)
- Deaton A., "Health, inequality, and economic development", J Econ Lit, 41, pp.113~158 (2003)
- Drèze J., "India, economic development and social opportunity", pp.127~130 (1995), Oxford University Press
- Wilkinson RG, "Socioeconomic determinants of health. Health inequalities: relative or absolute material standards?", BMJ, 314, pp.591~595 (1997)
- Kawachi I, "Income inequality and health: pathways and mechanisms", Health Serv Res, 34, pp.215~227 (1999)
- "District level household and facility survey 200708" (2010)[URL]
- "Annual health survey" (2011)[URL]
- Preston SH, "The changing relation between mortality and level of economic development", Popul Stud (Camb), 29, pp.231~248 (1975)
- Filmer D, "The impact of public spending on health: does money matter?", Soc Sci Med, 49, pp.1309~1323 (1999)
- "Mahatma Gandhi National Rural Employment Guarantee Act-2005"[URL]
- Moran PA, "Notes on continuous stochastic phenomena", Biometrika, 37, pp.17~23 (1950)
- Anselin L, "GeoDa: an introduction to spatial data analysis", Geogr Anal, 38, pp.5~22 (2006)
- Shetty A, "The impact of female literacy on infant mortality rate in Indian states", Curr Pediatr Res, 18, pp.49~56 (2014)
- Wilkinson RG, "Income distribution and life expectancy", BMJ, 304, pp.165~168 (1992)
- Wilkinson RG, "Two pathways, but how much do they diverge?", BMJ, 319, pp.956~957 (1999)