Is Childhood Mortality Higher in Urban Poor Than in Rural India?

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The study analyzed childhood mortality differentials between urban poor and rural populations in India using two rounds of the National Family Health Survey (2005–06 and 2015–16), applying concentration index, Cox regression, and predicted probabilities to estimate infant and child mortality and associated predictors. It found decreasing trends in infant and child mortality in both settings over time, but greater economic inequality in child mortality in urban poor than rural areas. Hazard regression attributed higher urban-area child mortality risk to poverty, low female literacy, and lower community coverage of antenatal care and safe delivery, and it reported that although rural declines were larger, inequality widened more among the urban poor. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract The present paper examines the childhood mortality differential among urban poor and rural India using data from two rounds of National Family Health Survey Conducted in 2005-06 and 2015-16. Concentration index (CI), and cox regression were applied to address the research problem. Furthermore predicted probability was used to identify the potential predictors of infant and child mortality after adjusting the predictor variables. The findings suggest a decreasing trend in in infant mortality and child mortality both urban poor and rural India during this period. The economic inequalities respect to child mortality is higher in urban poor than in rural India. Hazard regression suggested that higher risk of child mortality in urban areas, due to poverty, low female literacy, low coverage antenatal care and safe delivery in the community. Even after controlling the possible bio-demographic variables, the study reveals that percentage declined mortality in rural areas higher than the urban poor but inequality is more widened in urban poor in India. The health program should be initiatives a major role to reducing infant and child mortality rates for both urban poor and rural India.
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Ujjwal Das This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-965163/v2 This work is licensed under a CC BY 4.0 License Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Abstract The present paper examines the childhood mortality differential among urban poor and rural India using data from two rounds of National Family Health Survey Conducted in 2005-06 and 2015-16. Concentration index (CI), and cox regression were applied to address the research problem. Furthermore predicted probability was used to identify the potential predictors of infant and child mortality after adjusting the predictor variables. The findings suggest a decreasing trend in in infant mortality and child mortality both urban poor and rural India during this period. The economic inequalities respect to child mortality is higher in urban poor than in rural India. Hazard regression suggested that higher risk of child mortality in urban areas, due to poverty, low female literacy, low coverage antenatal care and safe delivery in the community. Even after controlling the possible bio-demographic variables, the study reveals that percentage declined mortality in rural areas higher than the urban poor but inequality is more widened in urban poor in India. The health program should be initiatives a major role to reducing infant and child mortality rates for both urban poor and rural India. Toxicology Occupational Medicine Environmental Policy Infant mortality Child mortality Concentration index Hazard regression Economic inequality Female literacy Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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