Vaccine Hesitancy and Fear of COVID-19 Among Italian Medical Students: A Cross-Sectional Study

Medical students are in close contact with patients and should adhere to the same recommendations as healthcare workers. The study aimed to explore medical students' hesitancy towards COVID-19 vaccine and evaluate fear of COVID-19 and its relationship with hesitancy. A cross-sectional survey was conducted amongst a sample of medical students attending clinical years (November 2020–February 2021, Italy). Multivariable regressions were performed (p < 0.05 as significant). A total of 929 students participated (58.6% of eligible students). Hesitancy was reported by 6.7%; extreme fear of COVID-19 by 42.0%. Among hesitancy predictors, there were the survey completion before COVID-19 vaccine authorisation (adjOR = 6.43), adverse reactions after a vaccination (adjOR = 3.30), and receiving advice against COVID-19 vaccination from a relative (adjOR = 2.40). Students who received the recommended paediatric vaccinations (adjOR = 0.10), students with higher adherence to preventive measures (adjOR = 0.98), and students with fear of contracting COVID-19 with regard to the health of loved ones (adjOR = 0.17) were less likely to be hesitant. Females (adjOR = 1.85), students with poor health (adjOR = 1.64), students who had a loved one severely affected by COVID-19 (adjOR = 1.68), and students with fear of contracting flu (adjOR = 3.06) had a higher likelihood of reporting extreme fear. Hesitancy was remarkably lower than in similar studies. However, there is room for improvement in university activities that could deepen the competence in vaccines. Our focus on fear should not be overlooked, since the extent of extreme fear that we found might represent a substantial burden, considering the associations between fear and other health outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10900-022-01074-8

Exploring the Relationship between COVID-19 Vaccine Refusal and Belief in Fake News and Conspiracy Theories: A Nationwide Cross-Sectional Study in Italy

The COVID-19 pandemic has been accompanied by an infodemic, which includes fake news (FNs) and conspiracy theories (CTs), and which may worsen vaccine refusal (VR), thus hindering the control of the transmission. This study primarily aimed to assess COVID-19 VR in Italy and its relationship with belief in FNs/CTs. Secondarily, it explored the conviction in FNs and CTs and associated variables. An online cross-sectional study was conducted in Italy (2021). The primary outcome was VR and secondary outcomes were FN misclassification score (0% to 100%: higher score means higher misclassification) and CT belief score (1 to 5: higher score means higher agreement). There were 1517 participants; 12.3% showed VR. The median FN and CT scores were: 46.7% (IQR = 40–56.7%) and 2.8 (IQR = 2.2–3.4). Age, education, FN, and CT scores had significant associations with VR. Education, economic situation, health and e-health literacy showed significant relationships with secondary outcomes. Study/work background had a significant association only with the FN score. FN and CT scores were associated. This work estimated a VR lower than before the first COVID-19 vaccine approval. The relationship between VR and FN/CT belief represents a new scenario, suggesting the need for planning effective strategies to tackle FNs and CTs to implement successful vaccination campaigns

Establishing a Theory-Based Multi-Level Approach for Primary Prevention of Mental Disorders in Young People

The increasing prevalence of mental health disorders and psychosocial distress among young people exceeds the capacity of mental health services. Social and systemic factors determine mental health as much as individual factors. To determine how best to address multi-level risk factors, we must first understand the distribution of risk. Previously, we have used psychometric methods applied to two epidemiologically-principled samples of people aged 14−24 to establish a robust, latent common mental distress (CMD) factor of depression and anxiety normally distributed across the population. This was linearly associated with suicidal thoughts and non-suicidal self-harm such that effective interventions to reduce CMD across the whole population could have a greater total benefit than those that focus on the minority with the most severe scores. In a randomised trial of mindfulness interventions in university students (the Mindful Student Study), we demonstrated a population-shift effect whereby the intervention group appeared resilient to a universal stressor. Given these findings, and in light of the COVID-19 pandemic, we argue that population-based interventions to reduce CMD are urgently required. To target all types of mental health determinants, these interventions must be multi-level. Careful design and evaluation, interdisciplinary work, and extensive local stakeholder involvement are crucial for these interventions to be effective

Establishing a Theory-Based Multi-Level Approach for Primary Prevention of Mental Disorders in Young People

The increasing prevalence of mental health disorders and psychosocial distress among young people exceeds the capacity of mental health services. Social and systemic factors determine mental health as much as individual factors. To determine how best to address multi-level risk factors, we must first understand the distribution of risk. Previously, we have used psychometric methods applied to two epidemiologically-principled samples of people aged 14−24 to establish a robust, latent common mental distress (CMD) factor of depression and anxiety normally distributed across the population. This was linearly associated with suicidal thoughts and non-suicidal self-harm such that effective interventions to reduce CMD across the whole population could have a greater total benefit than those that focus on the minority with the most severe scores. In a randomised trial of mindfulness interventions in university students (the Mindful Student Study), we demonstrated a population-shift effect whereby the intervention group appeared resilient to a universal stressor. Given these findings, and in light of the COVID-19 pandemic, we argue that population-based interventions to reduce CMD are urgently required. To target all types of mental health determinants, these interventions must be multi-level. Careful design and evaluation, interdisciplinary work, and extensive local stakeholder involvement are crucial for these interventions to be effective