BackgroundVaccine hesitancy is a global public health threat. Understanding the role of psychological factors in vaccine hesitancy is often neglected and relatively less explored.Aim and ObjectivesTo analyze the relationship between mental health and COVID-19 vaccine hesitancy before and after the advent of COVID-19 vaccines (AC19V) in the general population of India and Saudi Arabia (KSA) which vary in severity of the pandemic and vaccine mandates.Materials and MethodsA total of 677 adult participants from India and KSA participated in this cross-sectional online web-based survey. Sociodemographic details and current COVID-19 status pertaining to infection and vaccination were collected. Depression, anxiety, post-traumatic stress disorder (PTSD) symptoms, and perceptive need for mental health support (MHS) were assessed before and after AC19V. A newly constructed and validated COVID19 vaccine hesitancy scale-12 (COVID19-VHS12) scale was used to evaluate the COVID-19 vaccine hesitancy.ResultsPrevalence and levels of depression and anxiety symptoms decreased significantly in Saudis but not in Indians after AC19V. PTSD symptoms showed a significant reduction in both India and KSA. Anxiety symptoms were higher in KSA than India before AC19V while PTSD was higher in India before and after AC19V. Except for the place of residence and employment status, the subgroups of sociodemographic variables which were at higher risk of negative mental health before AC19V showed improvement in their mental health after AC19V. The prevalence of COVID-19 vaccine hesitancy in India and KSA was 50.8% (95% CI 45.73–55.89%) and 55.7% (95% CI 50.16–61.31%), respectively. A bidirectional association between vaccine hesitancy and mental health was observed in KSA but not in India. Higher vaccine hesitancy favored higher levels of depression, anxiety, and perceptive need for MHS and vice versa in KSA. None of the mental health parameters predicted vaccine hesitancy in India, while higher vaccine hesitancy increased the risk of anxiety.ConclusionVaccine hesitancy has a negative impact on mental health and vice versa over and above the impact of sociodemographic factors and COVID-19 vaccination and infection status which shows variations between India and KSA.

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Background: Continuous Positive airway pressure (CPAP) is a non-invasive form of respiratory support, which is safe and effective in neonates with respiratory distress. The purpose of this study is to predict the length of stay on bubble CPAP in neonates by correlating the initial pressure and duration on it with respect to gestational age, birth weight and respiratory distress scores. Objective: To correlate the initial pressure and duration on bubble CPAP in neonates with respiratory distress thereby predicting the length of stay on it and analyzing the factors responsible for bubble CPAP failure. Materials and Methods: A prospective longitudinal study was conducted over a period of 2 years in neonates with respiratory distress requiring bubble CPAP. Applying Pearsoncoefficient, the initial pressure and duration on bubble CPAP was correlated with respect to different variables. The statistical analysis was performed using SPSS (Version 20.0). P value of <0.05 was considered as statistically significant. Results: Out of 246 neonates enrolled, 211(85.77%) neonates were successfully treated with bubble CPAP, with mean birth weight of 1.66 kg and mean duration of stay on bubble CPAP was 32.64 hours. Applying Pearson co- efficient on initial pressure and duration on bubble CPAP there was negative correlation, which was statistically significant. 35(14.23%) failed bubble CPAP. The predictors of failure were prematurity (51.43%), birth asphyxia (8.6%), age at initiation of bubble CPAP, sepsis (8.57%), Downes score and Silverman Anderson score of more than 6. Other maternal and neonatal variables did not influence the need of mechanical ventilation. Conclusion: The duration of stay on bubble CPAP and the initial pressure set are negatively correlated that is, higher the initial pressure there is significant reduction in duration on bubble CPAP thereby the length of stay can be predicted by initial pressure set.

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