Background: Artificial intelligence (AI) has shown promise in the interpretation of electrocardiograms (ECGs) using signal-based deep learning models. In parallel, large language models (LLMs) have gained increasing visibility in clinical practice, including exploratory applications in ECG analysis. Whether a general-purpose LLM can meaningfully discriminate cardiovascular disease from athlete ECGs during PPS remains unknown. We aimed to evaluate the diagnostic performance of a general-purpose LLM for this task. Methods: In this multicentre diagnostic accuracy study, we evaluated a commercially available LLM (ChatGPT, version 5) in 2950 competitive athletes undergoing PPS. All athletes underwent resting 12-lead ECG, with second- and third-line investigations performed when clinically indicated. The reference outcome was confirmed cardiovascular disease after full diagnostic work-up (n = 450, 15.3%). For each ECG, the LLM generated a numeric score (0–100) representing the inferred likelihood of underlying disease using a standardized prompt and without task-specific fine-tuning. Discriminative performance was assessed using receiver operating characteristic (ROC) analysis. Misclassification patterns were analysed according to International ECG Criteria. Results: GPT-derived scores demonstrated a marked floor effect, with a median value of 0 (IQR 0–2) in both diseased and non-diseased athletes and substantial overlap between groups. The area under the ROC curve was 0.52 (95% CI 0.49–0.55), indicating performance close to random classification. At the Youden-derived threshold, 79% of athletes with confirmed disease were incorrectly classified as negative. False-negative cases were predominantly characterized by borderline ECG patterns (82%), and a substantial number of red-flag ECG abnormalities were also missed. Conclusions: In this PPS cohort, a general-purpose LLM used in a naïve configuration showed no clinically meaningful ability to discriminate between cardiovascular disease and athlete ECGs. Without task-specific training or domain adaptation, such models should not be used for diagnostic triage in athlete screening.

Background: The COVID-19 pandemic had a huge impact on psychological health and socioeconomic structures. The consequences of COVID-19 on the physical, psychological, and social spheres have been extensively studied, except for aspects concerning sexuality and sex workers, in terms of physical, social and economic impact, but also as a possible cause for viral transmission. Methods: With the intention of counteracting the lack of research, from September 2020 to August 2022, we distributed an anonymous questionnaire to Sex Workers' associations aimed at investigating the impact of the pandemics on sex workers. In the period examined we received and reviewed 147 questionnaires from women, men, and transsexuals. Conclusions: The prevention of the viral transmission during a pandemic is of utmost importance but should not be exclusively promoted at the expense of other important prevention initiatives. Safeguarding psycho-physical health of the general population, including effective health educational communications emphasizing the importance of sexual activity in mental and physical health should be part of ongoing health objectives. These approaches need to include sex workers of all genders-particularly racialized and marginalized sex workers-in public health planning and messaging alongside structural interventions. Full decriminalization of sex work and access to workplace protections are key to protecting both sex workers' and clients' health. Sex workers of all genders have often been among the first hit by epidemics and the last to be protected-it is long past time to change that.

Background: Childhood obesity represents the most common nutritional and metabolic disorder in industrialized countries and constitutes a major public health concern. In Italy, 20–25% of school-aged children are overweight and 10–14% are obese, with marked regional variability. Excess adiposity in childhood is frequently associated with hypertension, dyslipidemia, insulin resistance, and non-alcoholic fatty liver disease (NAFLD), predisposing to future cardiovascular disease (CVD). Objective: To investigate anthropometric indicators of cardiometabolic risk in 810 children and adolescents aged 7–17 years who underwent assessment for competitive sports eligibility at the Sports Medicine Unit of Modena, evaluate baseline knowledge of cardiovascular health aligned with ESC, AAP (2023), and EASO guidelines. Methods: 810 children and adolescents aged 7–17 years undergoing competitive sports eligibility assessment at the Sports Medicine Unit of Modena underwent evaluation of BMI percentile, waist circumference (WC), waist-to-height ratio (WHtR), and blood pressure. Cardiovascular knowledge and lifestyle habits were assessed via a previously used questionnaire. Anthropometric parameters, blood pressure (BP), and lifestyle-related knowledge and behaviors were assessed using standardized procedures. Overweight and obesity were defined according to WHO BMI-for-age percentiles. Elevated BP was classified based on the 2017 American Academy of Pediatrics age-, sex-, and height-specific percentiles. Statistical analyses included descriptive statistics, group comparisons, chi-square tests with effect size estimation, correlation analyses, and multivariable logistic regression models. Results: Overall, 22% of participants were overweight and 14% obese. WHtR > 0.5 was observed in 28% of the sample and was more frequent among overweight/obese children (p < 0.001). Elevated BP was detected in 12% of participants with available measurements (n = 769) and was significantly associated with excess adiposity (χ² = 7.21, p < 0.01; Cramér’s V = 0.27). In multivariable logistic regression analyses adjusted for age and sex, WHtR > 0.5 (OR 2.14, 95% CI 1.32–3.47, p = 0.002) and higher sedentary time (OR 1.41 per additional daily hour, 95% CI 1.10–1.82, p = 0.006) were independently associated with elevated BP, whereas BMI percentile lost significance when WHtR was included in the model. Lifestyle knowledge scores were significantly lower among overweight and obese participants compared with normal-weight peers (p < 0.01). Conclusions: WHtR is a sensitive early marker of cardiometabolic risk, often identifying at-risk children missed by BMI alone. Baseline cardiovascular knowledge was suboptimal. The observed gaps in cardiovascular knowledge underscore the importance of integrating anthropometric screening with structured educational interventions to promote healthy lifestyles and long-term cardiovascular prevention.

Background: The COVID‐19 pandemic led to widespread societal disruptions, including lockdowns aimed at reducing virus transmission. These measures had a profound impact on physical and mental health, particularly among children and adolescents. The closure of sports facilities and restrictions on outdoor activities resulted in a significant decrease in physical activity levels among this age group. Methods: A cross‐sectional survey was conducted among 211 participants attending sports medicine clinics in Northern Italy. The survey is aimed at assessing physical activity levels during three distinct lockdown periods. It gathered data on demographics and tracked trends and changes in physical activity throughout these phases. Results: During the initial lockdown, 37.4% of the youth maintained regular physical activity, primarily at home, with an average of 4 h/week. By October 26, 69.6% of the participants were still engaged in physical activities, with participation stabilizing at 71.0% by the time of the survey. Inferential analyses confirmed that the increase in participation between the first and second phases was statistically significant ( p < 0.001, Cohen’s h = 0.85), whereas later changes were not significant. Although there was a slight increase in the weekly hours of physical activity, these levels remained below the World Health Organization’s recommended guidelines. Average weekly hours of activity showed only a small, nonsignificant increase ( p = 0.12, Cohen’s d = 0.20). Importantly, in all phases, fewer than 20% of participants met WHO recommendations. Conclusions: The COVID‐19 lockdowns significantly disrupted youth physical activity, which was heavily reliant on organized sports clubs. Despite some recovery after the restrictions were lifted, physical activity levels often fell below recommended guidelines. The disruption in physical activity patterns during the pandemic could have long‐lasting effects on future health outcomes. The habits established during childhood and adolescence often persist into adulthood, and the significant drop in physical activity during the pandemic may impact health for decades. This highlights the need for targeted strategies and enhanced physical education programs to mitigate the health risks associated with sedentary behaviors.

Children with autism spectrum disorder (ASD) often experience distress during medical procedures due to sensory sensitivities and communication challenges. We conducted a pilot study assessing whether a humanoid robot (NAO) could reduce distress during cardiology assessments. 24 children with ASD were evaluated during NAO-assisted visits. Distress levels were significantly lower compared with previous routine non-robot-assisted visits involving the same patients. Reduced motion artefacts and shorter diagnostic procedures were also observed. These results support the feasibility and potential benefit of integrating social robots into outpatient paediatric settings for patients with autism, paving the way for more inclusive and neurosensitive healthcare experiences.

Background: Childhood obesity represents the most common nutritional and metabolic disorder in industrialized countries and constitutes a major public health concern. In Italy, 20–25% of school-aged children are overweight and 10–14% are obese, with marked regional variability [1–6]. Excess adiposity in childhood is frequently associated with hypertension, dyslipidemia, insulin resistance, and non-alcoholic fatty liver disease (NAFLD), predisposing to future cardiovascular disease (CVD). Objective: To investigate anthropometric indicators of cardiometabolic risk in 810 children and adolescents aged 7–17 years who underwent assessment for competitive sports eligibility at the Sports Medicine Unit of Modena, evaluate baseline knowledge of cardiovascular health aligned with ESC, AAP [2023], and EASO guidelines. [4–6] Methods: 810 children and adolescents aged 7–17 years undergoing competitive sports eligibility assessment at the Sports Medicine Unit of Modena underwent evaluation of BMI percentile, waist circumference (WC), waist-to-height ratio (WHtR), and blood pressure. Cardiovascular knowledge and lifestyle habits were assessed via a a previously used questionnaire. Anthropometric parameters, blood pressure (BP), and lifestyle-related knowledge and behaviors were assessed using standardized procedures. Overweight and obesity were defined according to WHO BMI-for-age percentiles. Elevated BP was classified based on the 2017 American Academy of Pediatrics age-, sex-, and height-specific percentiles. Statistical analyses included descriptive statistics, group comparisons, chi-square tests with effect size estimation, correlation analyses, and multivariable logistic regression models. Results: Overall, 22% of participants were overweight and 14% obese. WHtR > 0.5 was observed in 28% of the sample and was more frequent among overweight/obese children (p < 0.001). Elevated BP was detected in 12% of participants with available measurements (n = 769) and was significantly associated with excess adiposity (χ² = 7.21, p < 0.01; Cramér’s V = 0.27). In multivariable logistic regression analyses adjusted for age and sex, WHtR > 0.5 (OR 2.14, 95% CI 1.32–3.47, p = 0.002) and higher sedentary time (OR 1.41 per additional daily hour, 95% CI 1.10–1.82, p = 0.006) were independently associated with elevated BP, whereas BMI percentile lost significance when WHtR was included in the model. Lifestyle knowledge scores were significantly lower among overweight and obese participants compared with normal-weight peers (p < 0.01). Conclusions: WHtR is a sensitive early marker of cardiometabolic risk, often identifying at-risk children missed by BMI alone. Baseline cardiovascular knowledge was suboptimal. The observed gaps in cardiovascular knowledge underscore the importance of integrating anthropometric screening with structured educational interventions to promote healthy lifestyles and long-term cardiovascular prevention.