On the Structure of Infant Mortality using Accelerated Failure Time (AFT) Model: A Comparative Study based on National Family Health Survey (NFHS) Data in India

Author(s):  
Anu Sirohi ◽  
Piyush Kant Rai
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shobhit Srivastava ◽  
Shubhranshu Kumar Upadhyay ◽  
Shekhar Chauhan ◽  
Manoj Alagarajan

Abstract Background India has achieved impressive gains in child survival over the last two decades; however, it was not successful in attaining MDG 2015 goals. The study’s objective is to inquire how the survival status of the preceding child affects the survival of the next born child. Methods This is a retrospective analysis of data from the National Family Health Survey, 2015–16. Analysis was restricted to women with second or higher-order births because women with first-order births do not have a preceding child. Proportional hazards regression, also called the Cox regression model, has been used to carry out the analysis. Kaplan–Meier (K–M) survival curves were also generated, with a focus on preceding birth intervals. Results Results found that female children were more likely to experience infant mortality than their male counterparts. Children born after birth intervals of 36+ months were least likely to experience infant mortality. Mother’s education and household wealth are two strong predictors of child survival, while the place of residence and caste did not show any effect in the Cox proportional model. Infant and child deaths are highly clustered among those mothers whose earlier child is dead. Conclusion Maternal childbearing age is still low in India, and it poses a high risk of infant and child death. Education is a way out, and there is a need to focus on girl’s education. The government shall also focus on raising awareness of the importance of spacing between two successive births. There is also a need to create a better health infrastructure catering to the needs of rich and poor people alike.


2015 ◽  
Vol 05 (09) ◽  
pp. 359-369 ◽  
Author(s):  
Nomita Chandhiok ◽  
Lucky Singh ◽  
Kh. Jitenkumar Singh ◽  
Damodar Sahu ◽  
Arvind Pandey

2021 ◽  
Vol 6 (2) ◽  
pp. e003717
Author(s):  
Phuong Hong Nguyen ◽  
Rasmi Avula ◽  
Lan Mai Tran ◽  
Vani Sethi ◽  
Alok Kumar ◽  
...  

ObjectivesExisting health and community nutrition systems have the potential to deliver many nutrition interventions. However, the coverage of nutrition interventions across the delivery platforms of these systems has not been uniform. We (1) examined the opportunity gaps between delivery platforms and corresponding nutrition interventions through the continuum of care in India between 2006 and 2016 and and (2) assessed inequalities in these opportunity gaps.MethodsWe used two rounds of the National Family Health Survey data from 2005 to 2006 and 2015–2016 (n=36 850 and 190 898 mother–child dyads, respectively). We examine the opportunity gaps over time for seven nutrition interventions and their associated delivery platforms at national and state levels. We assessed equality and changes in equality between 2006 and 2016 for opportunity gaps by education, residence, socioeconomic status (SES), public and private platforms.ResultsCoverage of nutrition interventions was consistently lower than the reach of their associated delivery platforms; opportunity gaps ranging from 9 to 32 percentage points (pp) during the pregnancy, 17 pp during delivery and 9–26 pp during childhood in 2006. Between 2006 and 2016, coverage improved for most indicators, but coverage increases for nutrition interventions was lower than for associated delivery platforms. The opportunity gaps were larger among women with higher education (22–57 pp in 2016), higher SES status and living in urban areas (23–57 pp), despite higher coverage of most interventions and the delivery platforms among these groups. Opportunity gaps vary tremendously by state with the highest gaps observed in Tripura, Andaman and Nicobar islands, and Punjab for different indicators.ConclusionsIndia’s progress in coverage of health and nutrition interventions in the last decade is promising, but both opportunity and equality gaps remained. It is critical to close these gaps by addressing policy and programmatic delivery systems bottlenecks to achieve universal coverage for both health and nutrition within the delivery system.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Balhasan Ali ◽  
Shekhar Chauhan

An amendment to this paper has been published and can be accessed via the original article.


2017 ◽  
Vol 50 (5) ◽  
pp. 604-625 ◽  
Author(s):  
S. K. Mishra ◽  
Bali Ram ◽  
Abhishek Singh ◽  
Awdhesh Yadav

SummaryUsing data from India’s National Family Health Survey, 2005–06 (NFHS-3), this article examines the patterns of relationship between birth order and infant mortality. The analysis controls for a number of variables, including mother’s characteristics such as age at the time of survey, current place of residence (urban/rural), years of schooling, religion, caste, and child’s sex and birth weight. A modest J-shaped relationship between birth order of children and their risk of dying in the neonatal period is found, suggesting that although both first- and last-born children are at a significantly greater risk of dying compared with those in the middle, last-borns (i.e. fourth and higher order births) are at the worst risk. However, in the post-neonatal period first-borns are not as vulnerable, but the risk increases steadily with the addition of successive births and last-borns are at much greater risk, even worse than those in the neonatal period. Although the strength of relationship between birth order and mortality is attenuated after the potential confounders are taken into account, the relationship between the two variables remains curvilinear in the neonatal period and direct in the post-neonatal period. There are marked differences in these patterns by the child’s sex. While female children are less prone to the risk of dying in the neonatal period in comparison with male children, the converse is true in the post-neonatal period. Female children not only run higher risks of dying in the post-neonatal period, but also become progressively more vulnerable with an increase in birth order.


2019 ◽  
Vol 15 (4) ◽  
Author(s):  
Tarun Shankar Choudhary ◽  
Akanksha Srivastava ◽  
Ranadip Chowdhury ◽  
Sunita Taneja ◽  
Rajiv Bahl ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document