scholarly journals Endowments or Returns to Endowments or Both? Deciphering Disparities in Childhood Stunting in Bihar, India

2019 ◽  
Author(s):  
Saswata Ghosh ◽  
Santosh Kumar Sharma ◽  
Debarshi Bhattacharya
Keyword(s):  
Family Health ◽  
High Rate ◽  
National Family Health Survey ◽  
Quantile Regressions ◽  
National Family ◽  
Indian State ◽  
Z Scores ◽  
Counterfactual Decomposition ◽  
Childhood Stunting ◽  
Height For Age

Abstract Background Unacceptably high rate of childhood stunting for decades remained a puzzle in the Indian state of Bihar, located in the eastern part of the country. Despite various programmatic interventions, nearly half of the under-five children (numerically about 10 million) are still stunted in this resource-constrained state. Data and Methods Using four successive rounds of National Family Health Survey (NFHS) data spread over more than two decades and employing quantile regressions and counterfactual decomposition (QR-CD), the present study aims to assess effects of various endowments as well as returns to those endowments in disparities in childhood stunting over the period. Results The results show that although child’s height-for-age Z-scores (HAZ) disparity was largely accounted for differing levels of endowments during earlier decade, in the later periods, inadequate access to the benefits from various development programmes was also found responsible for HAZ disparities. Moreover, effects of endowments and their returns vary across quantiles. We argue that apart from equalizing endowments, ensuring adequate access to different nutrition-centric programmes are essential to lessen the burden of childhood stunting. Conclusion The state must focus on intersectoral convergence of different schemes in the form of state nutrition mission, and, strengthen nutrition-centric policy processes and their political underpinnings to harness better dividend.

scholarly journals Endowments or Returns to Endowments or Both? Deciphering Disparities in Childhood Stunting in Bihar, India

2020 ◽  
Author(s):  
Saswata Ghosh ◽  
Santosh Kumar Sharma ◽  
Debarshi Bhattacharya
Keyword(s):  
Family Health ◽  
High Rate ◽  
National Family Health Survey ◽  
Quantile Regressions ◽  
National Family ◽  
Indian State ◽  
Z Scores ◽  
Counterfactual Decomposition ◽  
Childhood Stunting ◽  
Height For Age

Abstract Background Unacceptably high rate of childhood stunting for decades remained a puzzle in the eastern Indian state of Bihar. Despite various programmatic interventions, nearly half of the under-five children (numerically about 10 million) are still stunted in this resource-constrained state. Data and Methods Using four successive rounds of National Family Health Survey (NFHS) data spread over more than two decades and by employing quantile regressions and counterfactual decomposition (QR-CD), the present study aims to assess effects of various endowments as well as returns to those endowments in disparities in childhood stunting over the period. Results The results show that although child’s height-for-age Z-scores (HAZ) disparity was largely accounted for differing levels of endowments during earlier decade, in the later periods, inadequate access to the benefits from various development programmes was also found responsible for HAZ disparities. Moreover, effects of endowments and their returns vary across quantiles. We argue that apart from equalizing endowments, ensuring adequate access to different nutrition-centric programmes are essential to lessen the burden of childhood stunting. Conclusion The state must focus on intersectoral convergence of different schemes in the form of state nutrition mission, and, strengthen nutrition-centric policy processes and their political underpinnings to harness better dividend.

scholarly journals Deciphering disparities in childhood stunting in an underdeveloped state of India: an investigation applying the unconditional quantile regression method

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Saswata Ghosh ◽  
Santosh Kumar Sharma ◽  
Debarshi Bhattacharya
Keyword(s):  
Family Health ◽  
High Rate ◽  
Quantile Regressions ◽  
National Family ◽  
Indian State ◽  
Z Scores ◽  
Quantile Regression Method ◽  
Counterfactual Decomposition ◽  
Childhood Stunting ◽  
Height For Age

Abstract Background Unacceptably high rate of childhood stunting for decades remained a puzzle in the eastern Indian state of Bihar. Despite various programmatic interventions, nearly half of the under-five children (numerically about 10 million) are still stunted in this resource-constrained state. Data and methods Using four successive rounds of National Family Health Survey (NFHS) data spread over more than two decades and by employing unconditional quantile regressions and counterfactual decomposition (QR-CD), the present study aims to assess effects of various endowments as well as returns to those endowments in disparities in childhood stunting over the period. Results The results show that although the child’s height-for-age Z-scores (HAZ) disparity largely accounted for differing levels of endowments during the earlier decades, in the later periods, inadequate access to the benefits from various development programmes was also found responsible for HAZ disparities. Moreover, effects of endowments and their returns varied across quantiles. We argue that apart from equalizing endowments, ensuring adequate access to different nutrition-centric programmes is essential to lessen the burden of childhood stunting. Conclusion The state must focus on intersectoral convergence of different schemes in the form of state nutrition mission, and, strengthen nutrition-centric policy processes and their political underpinnings to harness better dividend.

scholarly journals Deciphering Disparities in Childhood Stunting in an Underdeveloped State of India: An Investigation Applying the Unconditional Quantile Regression Method

2020 ◽  
Author(s):  
Saswata Ghosh ◽  
Santosh Kumar Sharma ◽  
Debarshi Bhattacharya
Keyword(s):  
Family Health ◽  
High Rate ◽  
Quantile Regressions ◽  
National Family ◽  
Indian State ◽  
Z Scores ◽  
Quantile Regression Method ◽  
Counterfactual Decomposition ◽  
Childhood Stunting ◽  
Height For Age

Abstract BackgroundUnacceptably high rate of childhood stunting for decades remained a puzzle in the eastern Indian state of Bihar. Despite various programmatic interventions, nearly half of the under-five children (numerically about 10 million) are still stunted in this resource-constrained state. Data and MethodsUsing four successive rounds of National Family Health Survey (NFHS) data spread over more than two decades and by employing quantile regressions and counterfactual decomposition (QR-CD), the present study aims to assess effects of various endowments as well as returns to those endowments in disparities in childhood stunting over the period. Results The results show that although the child’s height-for-age Z-scores (HAZ) disparity largely accounted for differing levels of endowments during the earlier decades, in the later periods, inadequate access to the benefits from various development programmes was also found responsible for HAZ disparities. Moreover, effects of endowments and their returns varied across quantiles. We argue that apart from equalizing endowments, ensuring adequate access to different nutrition-centric programmes is essential to lessen the burden of childhood stunting. ConclusionThe state must focus on intersectoral convergence of different schemes in the form of state nutrition mission, and, strengthen nutrition-centric policy processes and their political underpinnings to harness better dividend.

scholarly journals Deciphering Disparities in Childhood Stunting in an Underdeveloped State in India: an Investigation Applying the Unconditional Quantile Regression Method

2020 ◽  
Author(s):  
Saswata Ghosh ◽  
Santosh Kumar Sharma ◽  
Debarshi Bhattacharya
Keyword(s):  
Family Health ◽  
High Rate ◽  
Quantile Regressions ◽  
National Family ◽  
Indian State ◽  
Z Scores ◽  
Quantile Regression Method ◽  
Counterfactual Decomposition ◽  
Childhood Stunting ◽  
Height For Age

Abstract BackgroundUnacceptably high rate of childhood stunting for decades remained a puzzle in the eastern Indian state of Bihar. Despite various programmatic interventions, nearly half of the under-five children (numerically about 10 million) are still stunted in this resource-constrained state. Data and MethodsUsing four successive rounds of National Family Health Survey (NFHS) data spread over more than two decades and by employing quantile regressions and counterfactual decomposition (QR-CD), the present study aims to assess effects of various endowments as well as returns to those endowments in disparities in childhood stunting over the period. Results The results show that although child’s height-for-age Z-scores (HAZ) disparity was largely accounted for differing levels of endowments during earlier decade, in the later periods, inadequate access to the benefits from various development programmes was also found responsible for HAZ disparities. Moreover, effects of endowments and their returns vary across quantiles. We argue that apart from equalizing endowments, ensuring adequate access to different nutrition-centric programmes are essential to lessen the burden of childhood stunting. ConclusionThe state must focus on intersectoral convergence of different schemes in the form of state nutrition mission, and, strengthen nutrition-centric policy processes and their political underpinnings to harness better dividend.

scholarly journals Missed opportunities for delivering nutrition interventions in first 1000 days of life in India: insights from the National Family Health Survey, 2006 and 2016

2021 ◽  
Vol 6 (2) ◽  
pp. e003717
Author(s):  
Phuong Hong Nguyen ◽  
Rasmi Avula ◽  
Lan Mai Tran ◽  
Vani Sethi ◽  
Alok Kumar ◽  
...  
Keyword(s):  
Health Survey ◽  
Urban Areas ◽  
Family Health ◽  
Universal Coverage ◽  
National Family Health Survey ◽  
Nutrition Interventions ◽  
Missed Opportunities ◽  
Health And Nutrition ◽  
National Family ◽  
Opportunity Gaps

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.

scholarly journals Correction to: Inequalities in the utilisation of maternal health Care in Rural India: Evidences from National Family Health Survey III & IV

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Balhasan Ali ◽  
Shekhar Chauhan
Keyword(s):  
Health Care ◽  
Maternal Health ◽  
Health Survey ◽  
Family Health ◽  
Maternal Health Care ◽  
Rural India ◽  
National Family Health Survey ◽  
National Family

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

BIRTH ORDER, STAGE OF INFANCY AND INFANT MORTALITY IN INDIA

2017 ◽  
Vol 50 (5) ◽  
pp. 604-625 ◽  
Author(s):  
S. K. Mishra ◽  
Bali Ram ◽  
Abhishek Singh ◽  
Awdhesh Yadav
Keyword(s):  
Infant Mortality ◽  
Birth Order ◽  
Neonatal Period ◽  
Family Health ◽  
National Family Health Survey ◽  
Female Children ◽  
National Family ◽  
Urban Rural ◽  
Using Data ◽  
The Relationship

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.

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