Journal of preventive medicine and hygiene最新文献

Introduction: Respiratory Syncytial Virus (RSV) predominantly affects young children, with a peak incidence in temperate regions of the northern hemisphere from October to May. Children under 24 months of age are particularly vulnerable because of the immaturity of their lungs and immune systems, often leading to severe respiratory infections. The World Health Organization (WHO) recognizes RSV as a global health priority. Recently, Nirsevimab, a long-acting monoclonal antibody (mAb), was authorised to prevent RSV disease in infants.

Methods: Our narrative review brings together the effectiveness data of Nirsevimab available in the literature, highlighting the strengths and weaknesses of the published studies and the prevention opportunities represented by the new preparation.

Results: All reviewed studies provide evidence for the effectiveness of immunisation with Nirsevimab in real-world settings, beyond the controlled conditions of clinical trials, and highlight its safety and feasibility. Nirsevimab significantly reduces RSV hospitalisations and Intensive Care Unit (ICU) admissions. High coverage and high efficacy of immunisation have been reported, although supply issues and variability in studies present challenges.

Conclusions: Continued research and surveillance are critical to understanding the long-term effectiveness of Nirsevimab. Overall, available data provide valuable insights into the efficacy, safety, and impact of immunisation with Nirsevimab in preventing severe RSV infections in infants, highlighting its potential to reduce the burden of RSV-related hospitalisations and improve paediatric health outcomes.

Background: Eating a healthy diet is acknowledged as one of the main factors in preventing malnutrition and non-communicable diseases. As young students represent a group more prone to poor dietary habits, the aim of this study was to analyse the dietary habits of a group of undergraduate students attending university in a city of central Italy, Siena.

Methods: 4,700 students were invited to participate in a cross-sectional study completing an online self-administered questionnaire about their food habits. The obtained data were analysed by Microsoft Excel 2021 and Stata 17 software, through the Mann-Whitney and the Kruskal-Wallis test; a p-value < 0.05 was considered statistically significant.

Results: The students living at home consumed more fruit, vegetables, pasta, meat, fish, packaged foods, fruit juices, beer and wine; the only statistically significant differences were found for pizza and snacks. Even the gender influenced the consumption of many foods; women consumed more vegetables and coffee/tea, while males ate more pasta, meat, packaged foods, pizza, fries and beer.

Conclusions: With the transition from secondary school to university, students are continuously challenged to make healthful food choices and they must be self-disciplined to take care of themselves. It would be important for health campaigns to be promoted in young adults to help them make the right choices.

The complex challenges of the Anthropocene imply a careful reconsideration of the ethical boundaries of human morality and a heightened sensitivity to the interconnectedness among all living beings. This means that bioethics, traditionally anchored in interhuman relations within the healthcare domain, is called upon to broaden the scope of its operational horizon, encompassing issues related to interspecific relations, environmental health, sustainability, equitable distribution of natural resources, and responsibility for environmental damages. This article explores the intersection between the anthropocentric era and the ethical challenges arising from our increasing influence on the environment and other life forms with which we share the planet. The teaching of fundamental ethical concepts such as solidarity, social responsibility, and equity becomes crucial for nurturing informed and responsible citizens. In doing so, not only is greater awareness promoted regarding global challenges related to health and the environment, but critical skills are also developed to address them proactively.

Introduction: Nosocomial structures pose a high risk of Legionella spp. contamination due to complex water systems with challenging disinfection; moreover, the risk of severe legionellosis as a consequence of nosocomial exposure is very high in settings characterized by vulnerable patient conditions.

Methods: In the present work, we described the results of 7 years of environmental surveillance in a reference hospital in Liguria, in which a specific water safety plan (WSP) has been implemented in 2017, including data collected during the COVID-19 pandemic.

Results: During the study period, 1190 water samples were collected, of which 277 (23.3%) tested positive for Legionella spp. Positive samples with concentration values above 1,000 CFU/l were 184 (66.4%). Based on the new structure categorization contained in the WSP, hospital buildings classified as at "very high" risk resulted the most affected structures over the entire study period; however, the absolute number of positive samples greatly decreased over time, from 61 contaminated water samples in 2017 to only 9 in 2023.

Conclusions: Our findings prompted the reinforcement of control and prevention measures, affirming the appropriateness of risk-category classification. Indeed, the majority of contamination cases were associated with the water networks of buildings classified as "very high" risk.

Objective: To evaluate trends in physical activity levels and their associations with demographic characteristics, health status, and lifetime cardiovascular disease (CVD) risk.

Methods: A longitudinal analysis was conducted using data from 987 males and 1,001 females (45 ± 12 years old) participating in the ATTICA cohort study. Physical activity levels were assessed at baseline (2001-2002) and subsequent follow-ups (2006, 2012, and 2022). Four physical activity trajectories according to participants' physical activity tracking were defined, i.e., consistently active/inactive and changed from active/inactive. Twenty-year incidence of hypertension, hypercholesterolemia, and diabetes were evaluated in relation to physical activity trajectories; the life-table method was utilized to forecast the lifetime CVD risk (death without CVD was regarded as a competing event).

Results: in total, 47% of the participants were categorized as being consistently inactive, whereas only 9% of males and 15% of females sustained physical activity levels throughout the 20-year follow-up period (p < 0.001). Participants being consistently inactive were from lower socioeconomic backgrounds (p = 0.002). Transitioning to being physically active was associated with higher education level and being married (p < 0.001). Consistently active individuals had up to 35% reduced lifetime CVD risk, and lower 20-year incidence of hypertension, and hypercholesterolemia (p < 0.01); no association was observed regarding diabetes incidence.

Conclusions: Promoting and maintaining regular physical activity throughout lifespan is crucial for reducing lifetime CVD risk and related risk factors. Tailored interventions addressing demographic and socioeconomic factors may help enhance cardiovascular health outcomes.

The first annual meeting of the Italian Society for Artificial Intelligence in Medicine (Società Italiana Intelligenza Artificiale in Medicina, SIIAM) on December 7, 2023, marked a significant milestone in integrating artificial intelligence (AI) into Italy's healthcare framework. This paper reports on the collaborative workshop conducted during this event, highlighting the collective efforts of 51 professionals from diverse fields including medicine, engineering, data science, and law. The interdisciplinary background of the participants played a crucial role in generating ideas for innovative AI solutions tailored to healthcare challenges. Central to the discussions were several AI applications aimed at improving patient care and streamlining healthcare processes. Notably, the use of Large Language Models (LLMs) in remote monitoring of chronic patients emerged as an area of focus. These models promise enhanced patient monitoring through detailed symptom checking and anomaly detection, thereby facilitating timely medical interventions. Another significant proposal involved employing LLMs to improve empathy in medical communication, addressing the challenges posed by cultural diversity and high-stress levels among healthcare professionals. Additionally, the development of Machine Learning algorithms for standardizing treatment in pediatric emergency departments was discussed, along with the need for educational initiatives to enhance AI adoption in rural healthcare settings. The workshop also explored using LLMs for efficient data extraction and analysis in scientific literature, interpreting healthcare norms, and streamlining hospital discharge records. This paper provides a comprehensive overview of the ideas and solutions proposed at the workshop, reflecting the participants' forward-thinking vision and the potential of AI to revolutionize healthcare.

Introduction: The management of chronic diseases poses a challenge to the National Health Service (NHS), but it can also offer an opportunity for a radical renovation of healthcare provision. To improve the appropriateness of healthcare settings, it is essential to adopt integrated approach in all healthcare settings.

Methods: This study was conducted at San Giovanni Bosco Hospital, in the area of the "Città di Torino" Local Health Authority, between June 2021 and December 2022. Its main goal was to manage hospital patient flows in an integrated manner in order to improve the efficiency of the entire healthcare system. The data were examined in terms of effectiveness in optimizing hospital flows.

Results: The data indicated that hospital outpatient activities can become more specialized by leveraging the greater technological potential that a hospital possesses. At San Giovanni Bosco Hospital, the hub of the "Città di Torino" Local Health Authority (ASL), differential patient pathways were established in order to enhance the efficiency of the entire system by deploying hospital staff in a community setting. Implementation of the Otorhinolaryngology pathway avoided the hospitalization of 249 patients, who would otherwise have added strain to the overall organization of the hub hospital, which is currently short of space.

Conclusions: A significant effort is needed in order to build an integrated network that provides patients with reliable and stable references. The approach adopted at San Giovanni Bosco Hospital resulted in an improvement in the use of both hospital and territorial facilities.

Introduction: COVID-19 pandemic had impacted the reporting of notifiable communicable diseases. Since the beginning of the pandemic and the introduction of relate public health measures, notifications for most notifiable diseases have declined compared to previous years. In this study, we aim to quantify the changes in the incidences of notifiable infectious diseases during and after the pandemic in Siracusa Local Health Authority, Italy.

Methods: We collected and analysed the infectious disease notifications made in two different three-years periods, 2017-2019 and 2020-2022 in Siracusa Local Health Authority, Italy. Descriptive statistics were used to find the percentages and the 95% confidence interval (CI). Exact "F-tests" was performed to compare the mean values between the studied periods to evaluate the hypothesis that the number of reported cases would not differ significantly between the two periods. Significance was assessed at the p < 0.05 level.

Results: The total number of notifications significantly decreased by 69.3% in the pandemic period compared to the pre-pandemic one, with the highest reduction of air-borne transmission diseases (-86.5%), followed by food-borne diseases (-68.2%) and sexually transmitted diseases (-39.3%). Conversely, an increase in number of notifications was found only for legionellosis.

Conclusions: The COVID-19 pandemic had the potential to influence communicable disease reporting at multiple points. While the effects could vary considerably, the results would be expected to reduce the number and the detection of notifiable cases. Included would be changes in exposures, diagnostic testing, reporting to public health agencies, and public health investigations.

Introduction: Negative trends of trust in governments have been described around the world. This study aimed to describe the distrust level in the National Health Service (NHS) and in governmental management of the pandemic, one year after the start of the COVID-19 vaccination campaign.

Methods: A survey was distributed in February 2022 among a convenience sample. Outcomes were measured through validated tools: Revised Health Care System Distrust Scale, and the COVID-SCORE-10 questionnaire. Associations were assessed using multiple linear regression models.

Results: A total of 2111 questionnaires were collected (54.8% female, median age 43 years [IQR = 34-50]). Distrust in the NHS had a median level of 12 [IQR = 10-14], while trust in the government had a level of 47 [IQR = 35-60]. COVID-19 vaccine hesitancy, high educational attainment, worse economic status, low conventional and digital health literacy, as well as the presence of conspiracy thoughts and distrust in the NHS were significantly associated with lower trust in government during the COVID-19 pandemic. Lack of trust in governmental actions, along with low education and health literacy, as well as the presence of conspiracy thoughts and worse perceptions of one's own health, were associated with greater distrust in the NHS.

Conclusions: Overall, low levels of trust in both the government and the NHS have emerged. Since the determinants of reduced trust in institutions can be very diverse and that such levels of distrust after a pandemic can last for an entire generation, tailored interventions are needed to rebuild adequate levels of trust in institutions among the population.