scholarly journals Retrospective Study of Investigation of Possible Predictors for Total Fertility Rate in India

Author(s):  
A. K. Tiwari ◽  
Brijesh P. Singh ◽  
Vaishali Patel

Total fertility rate (TFR) is the most acceptable and widely used measure of current fertility. Since TFR is based on age-specific fertility rate which required the total number of births in different age groups as well as age of female. When the population is illiterate or older then the information on age may have some recall bias, misreporting digit preference etc., thus in this situation TFR may departed from the actual. Therefore, need some indirect methodology which enables us to have an idea about the estimation of TFR. In this study an attempt has been made to identify some predictors that the explain TFR and try to suggest the best combination of predictors to get estimate of TFR. The methodology used in this study is essentially based on the regression technique. The identification and acceptance of possible predictors are based on the coefficient of determination. The data for the major states of India from National Family Health Survey (NFHS 4) is used for the analysis.

Author(s):  
Abhishek Bharti ◽  
Anup Kumar ◽  
B. P. Singh

Fertility dynamics have been studied in this paper from 1977 to 2015. Regional fertility changes are analyzed using all four rounds of National Family Health Survey (NFHS) data. Synthetic Parity Progression Ratios (SPPR) and Total fertility rate (based on PPR) are used to analyze the fertility trend. Except for first parity, there is a decline in second and higher order birth of all the six regions. Reduction of third and higher order birth is the main reason for this decline.  


2012 ◽  
Vol 16 (10) ◽  
pp. 1723-1731 ◽  
Author(s):  
Nisha Malhotra

AbstractObjectiveDespite a rapidly growing economy and rising income levels in India, improvements in child malnutrition have lagged. Data from the most recent National Family Health Survey reveal that the infant and young child feeding (IYCF) practices recommended by the WHO and the Indian Government, including the timely introduction of solid food, are not being followed by a majority of mothers in India. It is puzzling that even among rich households children are not being fed adequately. The present study analyses the socio-economic factors that contribute to this phenomenon, including the role of nutritional information.DesignIYCF practices from the latest National Family Health Survey (2005–2006) were analysed. Multivariate logistic regression analyses were performed to establish the determinants of poor feeding practices. The indicators recommended by the WHO were used to assess the IYCF practices.SettingIndia.SubjectsChildren (n 9241) aged 6–18 months.ResultsWealth was shown to have only a small effect on feeding practices. For children aged 6–8 months, the mother's wealth status was not found to be a significant determinant of sound feeding practices. Strikingly, nutritional advice on infant feeding practices provided by health professionals (including anganwadi workers) was strongly correlated with improved practices across all age groups. Exposure to the media was also found to be a significant determinant.ConclusionsProviding appropriate information may be a crucial determinant of sound feeding practices. Efforts to eradicate malnutrition should include the broader goals of improving knowledge related to childhood nutrition and IYCF practices.


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 ◽  
...  

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