Competing risk multistate censored data modeling by propensity score matching method.

The potential contribution of the paper is the use of the propensity score matching method for updating censored observations within the context of multi-state model featuring two competing risks.The competing risks are modelled using cause-specific Cox proportional hazard model.The simulation findings demonstrate that updating censored observations tends to lead to reduced bias and mean squared error for all estimated parameters in the risk of cause-specific Cox model.The results for a chemoradiotherapy real dataset are consistent with the simulation results.

Inequality in time to first antenatal care visits and its predictors among pregnant women in India: an evidence from national family health survey.

For countries with high maternal mortality and morbidity, on-time initiation of antenatal care (ANC) is indispensable. Therefore this paper aims for studying the median survival time (MST) of first ANC among pregnant women as well as understanding the contextual factors that influence a mother's decision to access ANC services in India. The study used cross-sectional survey data obtained from the NFHS-4 conducted in 2015-2016. The MST of the timing of the first ANC visit was estimated using the Kaplan-Meir estimate. A multivariate Cox-proportional hazard regression model was used to identify the factors related to the timing of the first ANC visit with a 95% confidence interval (CI). Overall at least one ANC checkup was assessed by 60.15% of women and the median survival time for the first ANC checkup was found to be 4 months. Early initiation of ANC in pregnant women increased by 37% (AHR: 1.37, CI:1.34-1.39) for primary education, and 88% (AHR:1.88, CI:1.86-1.90) for secondary education compared to women having no formal education. Results of the current study revealed that the median survival time of the first ANC visit was 4 months in India which is delayed compared to recommendations of WHO. Therefore boosting the access and utilization of antenatal care coverage among pregnant women can ensure the best health outcomes for their pregnancy.

Contribution of socio-economic and demographic factors to the trend of adequate dietary diversity intake among children (6-23 months): evidence from a cross-sectional survey in India.

BACKGROUND: The present study aims to estimate the factors contributing to the change adequate diversified dietary intake (ADDI) from 2005-06 to 2015-16 among children aged 6-23 months in India. METHODS: A cross-sectional study was conducted using a large representative survey data. Data from the National Family Health Survey 2005-06 and 2015-16 was used. The effective sample size for the present study was 14,422 and 74,132 children aged 6-23 months in 2005-06 and 2015-16, respectively. The outcome variable was minimum adequate dietary diversity intake. Binary logistic regression was used to evaluate the factors associated with ADDI. Additionally, the Fairlie method of decomposition was used, which allows quantifying the total contribution of factors explaining the decadal change in the probability of ADDI among children aged 6-23 months in India. RESULTS: There was a significant increase in ADDI from 2005-06 to 2015-16 (6.2%; p < 0.001). Additionally, compared to the 2005-06 years, children were more likely to have ADDI [AOR; 1.29, CI: 1.22-1.35] in 2015-16. Mother's education explained nearly one-fourth of the ADDI change among children. Further, the regional level contribution of 62.3% showed that the gap was widening across regions between the year 2005-06 and 2015-16 in ADDI among children. The child's age explained 5.2% with a positive sign that means it widened the gaps. Whereas the household wealth quintile negatively contributed and explained by -5.2%, that means between the years the gaps has reduced in ADDI among children aged 6-23 months. CONCLUSION: Our findings indicate that increasing awareness of the use of mass media and improving the education levels of mothers would be beneficial for adequate dietary diversity intake among children aged 6-23 months. Investments should support interventions to improve overall infant and young children feeding practices in India.

Understanding the Socio-Economic Vulnerability in Child Malnutrition Between Migrants and Non-Migrants Children (12-59 Months) in India: Evidence from a Cross-Sectional Study.

India has witnessed increasing trends in internal migration over the last three decades. In India, migrant children are not a homogeneous group and their reasons for movement and vulnerabilities vary across socio-economic stratum. For some children, migration may open possibilities and is associated with expanding social and economic spheres, but for many others, it may bring serious risks. Therefore, the study has been carried out to understand socio-economic vulnerability in child nutrition with migration status and other contributing factors in India. This study used data from the National Family Health Survey, the fourth in the NFHS series which was conducted in 2015-2016 (NFHS-4). We were interested in looking at the children age 12-59 months for their nutritional indicators such as stunting and underweight across migrants and non-migrants children. This resulted in a sample of 199,448 children in selected age group and among them 33.1% children belongs to the migrant family as compared to 67% of non-migrant children. Overall, 44.2% of children were stunted and 39.5% were underweight among non-migrant children as compared to 37.4% & 32.8% of migrant children were stunted and underweight respectively. Further, the results showed that among the social groups, scheduled caste children were found a high variation in underweight (34% vs. 41.6%) and stunting (36% vs. 46%) between migrants and non-migrants children. Similar trend of malnourishment is found in the poor wealth quintile, for rural residents and low educated women with non-migrant status. Those children who were poor but non-migrant were more likely to be malnourished as underweight [aOR; 1.15, CI: 1.11-1.18] and stunted [aOR; 1.17, CI:1.13-1.20] as compared to migrant status children in the same category of the household. Similarly in reference to scheduled caste migrant group, the scheduled caste non-migrant were more likely to be underweight [aOR; 1.15, CI: 1.09-1.20] and stunted [aOR; 1.18, CI: 1.12-1.23] than the children with migrant status. There were huge differences between migrant and non-migrant children in nutritional statuses. Education, caste and wealth index are found to be an important variables to explain the differential between migrants and non-migrants in child's nutritional aspects. Children associated with poor socio-economic vulnerability and non-migrant category need to be taken care of more and a community targeted approach is required to understand the gaps. The programs such as ICDS, and Poshan Abhiyan need to be revamped adding the migration aspect of the families and children in terms of their health and nutritional aspects.