Neonatal, Infant, and Child Mortality in India: Progress and Future Directions.

In India, considerable progress has been made in reducing child mortality rates. Despite this achievement, wide disparities persist across and socio-economic strata, and persistent challenges, such as malnutrition, poor sanitation, and lack of clean water. This paper provides a comprehensive review of the state of child health in India, examining key risk factors and causes of child mortality, assessing the coverage of child health interventions, and highlighting critical public health programs and policies. The authors also discuss future directions and recommendations for bolstering ongoing efforts to improve child health. These include state- and region-specific interventions, prioritizing social determinants of health, strengthening data systems, leveraging existing programs like the National Health Mission (NHM) and Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY), and the proposed Public Health Management Cadre (PHMC). The authors argue that reducing child mortality requires not only scaled-up interventions but a comprehensive approach that addresses all dimensions of health, from social determinants to system strengthening.

Serious adverse event following immunization and thromboembolic events associated with COVID19 vaccination: An analysis of nationwide causality assessment from India.

BACKGROUND: Vaccines against the COVID-19 pandemic were introduced in late 2020. The present study has been conducted to study the serious Adverse Events Following Immunization (AEFIs) reported for COVID-19 vaccines from India. METHODS: Secondary data analysis of the causality assessment reports for the 1112 serious AEFIs published by the Ministry of Health & Family Welfare, Government of India, was conducted. For the current analysis, all the reports published till 29.03.2022 were included. The primary outcome variables analyzed were the consistent causal association and the thromboembolic events. RESULTS: The majority of the serious AEFIs assessed were either coincidental (578, 52%) or vaccine product related (218, 19.6%). All the serious AEFIs were reported among the Covishield (992, 89.2%) and COVAXIN (120, 10.8%) vaccines. Among these, 401 (36.1%) were deaths, and 711 (63.9%) were hospitalized and recovered. On adjusted analysis, females, the younger age group and non-fatal AEFIs showed a statistically significant consistent causal association with COVID-19 vaccination. Thromboembolic events were reported among 209 (18.8%) of the analyzed participants, with a significant association with higher age and case fatality rate. CONCLUSION: Deaths reported under serious AEFIs were found to have a relatively lower consistent causal relationship with the COVID-19 vaccines than the recovered hospitalizations in India. No consistent causal association was found between the thromboembolic events and the type of COVID-19 vaccine administered in India.

Urban-rural disparities in blood pressure and lifestyle risk factors of hypertension among Indian individuals.

Objectives: This study aims to assess the urban-rural difference in prevalence of hypertension (HT) and to explore the disparities in lifestyle risk factors of HT among urban and rural individuals aged 15-49 years in India. Study Design: The cross-sectional data collected as a part of the fourth round of National Family Health Survey (NFHS-4) was analysed in this observational study. NFHS-4 was conducted between January 2015 and December 2016 amongst men aged 15-54 years and women aged 15-49 years. In order to maintain uniformity, age group of 15-49 years was considered. Descriptive analyses were performed for sociodemographic and lifestyle factors. Binary logistic regression was conducted to assess the predictors of HT in men and women in urban and rural settings. The presence of HT was considered as the outcome variable. Results: The overall age adjusted prevalence of HT was 17.2% and was greater in urban (18.3%) than in rural population (15.5%). The age adjusted prevalence was also higher in males (18.2%) as compared to females (16.1%). Age and wealth were associated with HT in both urban and rural population. Education and dietary habits played a role in all except rural men. Alcohol consumption, diabetic status and marital status were significantly associated with HT in both urban and rural women. Occupation was associated with HT only in urban women. Conclusions: The study has shown higher HT prevalence in urban areas despite higher prevalence of lifestyle risk factors in rural settings. This calls for more robust screening and health education in the entire population, especially in rural areas.