Background: Breast cancer remains a significant health concern among women globally. Despite advancements in awareness and diagnostic techniques, it persists as a leading cause of death, with profound impacts on affected individuals' quality of life. Primary and secondary prevention, including regular screenings and practices like Breast Self-Examination (BSE), are pivotal in ensuring early diagnosis. The NHS in Italy offers screenings for women aged 50-69 every two years, managed by the Local Health Authority. However, the participation rates, especially among the Chinese female population residing in Italy, are not well-understood. Methods: Using a snowball method, we electronically disseminated a survey to investigate how Chinese women living in Italy engage with available NHS screening programs. The survey also explores their practice of BSE, the use and impact of technological tools on prevention, and aims to understand their depth of knowledge and misconceptions about breast cancer. Results: The data revealed a significant gap in breast cancer screening adherence and knowledge among Chinese women in Italy, with a notable discrepancy between the general population and those who have previously encountered cancer. Conclusions: The results highlight the urgent need for interventions that are culturally sensitive, stressing that these actions are not only desirable but essential.

Introduction: The image of the nurse is a source of concern because of its impact on recruitment to the profession, policy decisions about the profession, funding of nursing services, consumer use of nursing services and how the image of the nurse affects nursing practice. Aim: This study aims to assess the psychometric properties of the Italian version of the Nursing Attitudes Questionnaire (NAQ-IV). Methods: 564 persons between the years 2022 and 2023 with heterogeneous ages and occupations from Northern, Central and Southern Italy participated in the study. Cronbach's alpha, item versus total correlations, skewness and kurtosis were calculated; factor analysis was performed using principal axis factoring and the viramax rotation method. Results: The results showed a Cronbach's alpha of 0.89 on the scale and between 0.88 and 0.89 between the factors; all items tested for correlation between the item and the total and the criteria for variance in the responses. Factor analysis showed a 4-factor model explaining more than 59.91% of the variance, with the largest variance being explained by the 'Role & professionalism' factor (25.96%). Conclusion: These results allow for a discussion regarding the theoretical framework of the NAQ-IV and provide a reliable and valid instrument for the comparison of welfare, organisation of health services, role, professionalism, stereotypes, values, advocacy, motivation and perceived satisfaction with the figure of the nurse and nursing care.

Myasthenia Gravis (MG) is a chronic autoimmune neuromuscular disorder characterized by muscle weakness and fatigue, which can significantly impact various facets of daily life, including physical capabilities, emotional well-being, and social interactions. The prognosis, when supported by optimal symptomatic, immunosuppressive, and supportive treatment, is generally favorable. However, compelling evidence underscores the presence of diminished quality of life among patients with MG. Notably, cognitive impairment, depressive symptoms, and sleep disorders emerge as clinically pertinent dimensions in affected individuals, warranting careful scrutiny and investigation. Individuals with this condition often encounter challenges stemming from a lack of knowledge about effective coping strategies. The core objective of our research is to delve into the coping strategies adopted by patients with MG. To this end, we conducted an extensive inquiry, administering a series of personalized questions and utilizing the short version of the Coping Orientation to Problems Experienced questionnaire, (COPE-NVI-25) survey. Generative Artificial Intelligence was also employed to gain a better understanding of patient responses. The outcomes of our study hold the potential to steer the development of targeted interventions, strategic approaches, and valuable resources designed to assist patients with MG in proficiently managing their condition and enhancing their overall well-being.

Background: Music evokes positive emotions and reduces stress and anxiety. Operating Room (OR) staff face various challenges which can lead to high levels of stress. The aim of the study is to assess whether listening to music during intraoperative phases improves the work environment by reducing anxiety and stress in the entire surgical team. Methods. A prospective observational study was conducted from February to September 2023, involving medical personnel, nursing staff, and nursing students. They were divided into two groups: Group 1 with music during surgical procedures, and Group 2 without music. Participants were administered two validated instruments: the Zung Anxiety Self-Assessment Scale (SAS) to measure anxiety, and the Positive and Negative Affect Schedule to assess emotions generating stress. Additional items were included for demographics, job satisfaction, and the organization method. Results. Music did not impact anxiety but increased positive emotions while reducing negative ones. Music had an ancillary effect, highlighting the need for significant organizational interventions aimed at increasing operator satisfaction, including voluntary rather than mandatory assignments for nursing staff. Conclusions. Music appears to reduce stress in the intraoperative team when supported by a positive work environment in which assigned operators have chosen to work in the OR.

Background: Breast cancer is the most common cancer among women worldwide and remains the leading cause of death among Italian women. Despite increased breast cancer awareness and improved diagnostic techniques, mortality rates remains high globally. In Italy, despite the availability of screening programs by the National Health System (NHS) for all Italian women aged 50-69 every two years, the participation rate remains relatively low. The low uptake of screening may be attributed to a lack of general cancer knowledge among women, including awareness of risk factors, symptoms, and prevention measures. This study investigates the knowledge and misinformation in a population of Italian women regarding breast cancer risk factors, symptoms, and prevention. Methods: From March 2021 to January 2022, we conducted a survey targeting the female population in Italy, with a total of 2375 participants willingly participating in the study. To investigate factors linked to variations in attitudes toward breast cancer, the participants were categorized into two groups: the general population (Group A, n=2235) and women who have had or currently have breast cancer (Group B, n=140). Statistically significant differences were identified between these two groups. Results: The findings revealed considerable confusion regarding both the symptoms and causes associated with cancer, as well as prevention measures. This confusion was particularly prominent among women in the general population and those with lower levels of education. Conclusions: Given these insights, it remains crucial to promote accurate health information concerning risk factors, symptoms, and prevention strategies related to this devastating disease, emphasizing the ongoing importance of disseminating correct health information.

Objective: With just ten questions, the Berlin questionnaire (BQ) stands out as one of the simplest and most widely implemented non-invasive screening tools for detecting subjects at high risk for Obstructive Sleep Apnea (OSA), a still underdiagnosed syndrome characterized by partial or complete obstruction of the upper airways during sleep. The main aim of this study was to enhance the diagnostic accuracy of the BQ through Machine Learning (ML) techniques. Methods: A ML classifier (hereafter, ML-10) was trained using the ten questions of the standard BQ. A simplified variant of the BQ, BQ-2, which comprises only two questions out of the total of ten, was also assessed in a ML context. A 10-fold cross validation scheme was used. Ground truth was provided by the Apnea-Hypopnea Index (AHI) measured by Home Sleep Apnea Testing. Model performance was determined comparing ML-10 and BQ-2 with the standard BQ by the Receiver Operating Characteristic Curve (ROC), Area Under the Curve (AUC), sensitivity, specificity, and accuracy. Results: ML-10 demonstrated superior performance in predicting the risk for OSA compared to the standard BQ and was also capable in classifying OSA with two different AHI thresholds (AHI>=15, AHI>=30), typically used in clinical practice. Remarkably, BQ-2 was also better in sensibility to assess moderate to severe OSA (AHI≥ 15) compared to the ML-10. Conclusions: The study underscores the importance of integrating ML techniques for early OSA detection, suggesting a direction for future research to improve diagnostic processes and patient outcomes in sleep medicine.