Search Results (196)

Renewable Energy Communities (RECs) are voluntary coalitions of citizens, small and medium-sized enterprises and local authorities, which cooperate to share locally produced renewable energy, providing environmental, economic, and social benefits rather than profits. Despite a favorable European and Italian regulatory framework, their development is still limited in the Member States. To this end, this paper proposes a methodology to identify optimal spatial configurations of RECs, based on proximity criteria and maximization of energy self-sufficiency. This result is achieved through the mapping of the demand, expressive of the energy consumption of residential buildings; the suitable areas for installing photovoltaic panels on the roofs of existing buildings; the supply; the supply–demand balance, from which it is possible to identify Positive Energy Districts (PEDs) and Negative Energy Districts (NEDs). Through an iterative process, the optimal configuration is then sought, aggregating only PEDs and NEDs that meet the chosen criteria. This method is applied to the case study of the Avellino Province in the Campania Region (Italy). The maps obtained allow local authorities to inform citizens about the areas where it is convenient to aggregate with their neighbors in a REC to have benefits in terms of energy self-sufficiency, savings on bills or incentives at the local level, including those deriving from urban plans. The latter can encourage private initiative in order to speed up the RECs’ deployment. The presented model is being implemented in the framework of an ongoing research and development project, titled Renewable Energy Communities Monitoring, Optimization, and Planning (RECMOP). Full article

Background/Objectives: Preventive health behaviors are key to disease prevention and health system sustainability; however, population-level factors remain understudied in multilingual regions. South Tyrol, an autonomous multilingual province in Northern Italy, provides a unique setting to examine how sociodemographic and linguistic factors shape preventive behaviors. Methods: A stratified, population-representative survey of 2090 adults (aged ≥18 years) was conducted in South Tyrol in 2024. Preventive behavior was assessed using the validated 16-item Good Health Practices Scale (GHP-16). Key predictors included age, sex, education, living situation, language group, employment in the health/social sector, health literacy (HLS-EU-Q16), patient activation (PAM-10), and the mistrust of professional health information. Weighted statistics and multivariable linear regression were used to identify associations. Results: The GHP-16 scores varied significantly across sociodemographic and psychosocial strata. Female sex, older age, higher education, higher patient activation, and sufficient health literacy were independently associated with greater engagement in preventive behaviors. Patient activation showed the strongest graded effect (β = 1.739). The mistrust of health professionals was inversely associated with behavior (β = –0.050, 95% CI: –0.090 to –0.009). Italian speakers reported higher GHP-16 scores than German speakers (β = 0.377), even after adjusting for covariates. Item-level analysis revealed small but consistent differences, particularly in information-seeking and vaccination behavior. Conclusions: Preventive behaviors in South Tyrol are shaped by demographic, psychosocial, and linguistic factors. Patient activation and health literacy are key modifiable predictors, whereas language group differences suggest structural and trust-related disparities that require tailored public health strategies in multilingual settings. Full article

Almond cultivation in the Mediterranean basin is driven by Spanish production, which has combined innovation in cultivation techniques with research on varietal improvement, releasing self-compatible and late-flowering varieties that are better suited to areas prone to spring frosts. The growing demand for almonds has also influenced the Italian nut market, pushing growers towards almond cultivation even in areas that historically have no full vocation due to certain climatic constraints, such as cold winters and spring frosts, which are now less severe and less frequent as a result of climate changes, such as along the Latium coastline in Central Italy. In this new regional context, an almond collection orchard was set up in late 2017 in the rural environment of the municipality of Tarquinia (province of Viterbo) to test the local adaptation of commercial almond cultivars. Phenological observations and data acquisition were conducted for three consecutive growing seasons (2022–2024) and referred to eight cultivars introduced in the orchard: namely Genco, Guara, Lauranne Avijour, Penta, Soleta, Supernova, Tuono, and Vialfas. Each accession was monitored for phenological and ecophysiological traits, plant vigor and yield, yield efficiency, and nut and kernel traits. The trial proved that Lauranne, Penta, and Vialfas, due to their late flowering, were able to avoid possible damage from the spring cold recorded in 2023, while Supernova, Penta, and Genco, with an average yield over the three-year period of 2.51 ± 1.53, 2.44 ± 1.07 and 2.69 ± 1.42 kg plant⁻¹, respectively, showed a higher average yield than the other cultivars tested. Full article

Background/Objectives: Healthcare utilization is a behavioral phenomenon influenced by psychosocial factors. This study took place in South Tyrol, a culturally diverse autonomous province in northern Italy, and aimed to identify latent profiles of primary healthcare users based on health literacy, patient activation, sleep quality, and service use, and to examine the sociodemographic and health-related predictors of profile membership. Methods: A cross-sectional survey was conducted with a representative adult sample (n = 2090). The participants completed the questionnaire in German or Italian. Latent profiles were identified via model-based clustering using Gaussian mixture modeling and four z-standardized indicators: total primary healthcare contacts (general practice and emergency room visits), HLS-EU-Q16 (health literacy), PAM-10 (patient activation), and B-PSQI (sleep quality). The optimal cluster solution was selected using the Bayesian Information Criterion (BIC). Kruskal–Wallis and chi-square tests were used for between-cluster comparisons of the data. Multinomial logistic regression was used to examine the predictors of cluster membership. Results: Among the 1645 respondents with complete data, a three-cluster solution showed a good model fit (BIC = 19,518; silhouette = 0.130). The identified profiles included ‘Balanced Self-Regulators’ (72.8%), ‘Struggling Navigators’ (25.8%), and ‘Hyper-Engaged Users’ (1.4%). Sleep quality could be used to differentiate between different levels of service use (p < 0.001), while low health literacy and patient activation were key features of the high-utilization groups. Poor sleep and inadequate health literacy were associated with increased healthcare contact. Conclusions: The latent profiling revealed distinct patterns in health care engagement. Behavioral segmentation can inform more tailored and culturally sensitive public health interventions in diverse settings such as South Tyrol. Full article

Background and Aims: Current changes in family structures make the development of models for sustainably ensuring high-quality care for older people in the province of Bolzano–Bozen increasingly necessary to identify new solutions to address the needs of older people. This research project explores support options that enable older individuals to live independently in their homes for as long as possible, based on data collected through a quantitative survey. Special attention is devoted to recent transformations in family dynamics, highlighting the urgency of rethinking care strategies for older people. Data and Methods: The study focuses on a sample of individuals aged 60 and older who reside in their own homes in South Tyrol. Data were collected through 536 interviews conducted in 2020, using a questionnaire administered in both German and Italian. A Latent Class Model (LCA) was used to identify latent categorical indicators, with each category representing a specific combination of factors derived from the data. Results: The findings underscore the critical role of eliminating architectural barriers, fostering social connections, and promoting volunteer activities as key factors in enhancing the quality of life and independence of older adults. Full article

Occupational Health and Safety (OHS) in agriculture is a critical concern worldwide, with self-propelled machinery accidents, particularly tip/roll-overs, being a leading cause of injuries and fatalities. In such a context, while great attention has been paid to machinery safety improvement, a major challenge is the lack of studies addressing the analysis of the work environment to provide farmers with precise information on field slope steepness. This information, merged with an awareness of machinery performance, such as tilt angles, can facilitate farmers in making decisions about machinery operations in hilly and mountainous areas. To address this gap, the Italian Compensation Authority (INAIL) launched a research programme to integrate georeferenced slope data with the tilt angle specifications of common self-propelled machinery, following EN ISO 16231-2:2015 standards. This study presents the first results of this research project, which was focused on vineyards in the alpine region of the Autonomous Province of Trento, where terrestrial LiDAR technology was used to analyze slope steepness. The findings aim to provide practical guidelines for safer machinery operation, benefiting farmers, risk assessors, and manufacturers. By enhancing awareness of tip/roll-over risks and promoting informed decision-making, this research aims to contribute to improving OHS in agriculture, particularly in challenging terrains. Full article

Background: Bergamo was the most severely affected Italian province at the onset of the 2020 COVID-19 pandemic. The liver transplant (LT) patient population should be among the more sensitized to the concept of health prevention. Long-term data on both perception and outcomes of SARS-CoV-2 vaccination in LT recipients since the COVID-19 vaccine became available in Italy are still lacking. Methods: From May to October 2023, a survey on actively followed LT recipients at our institution was carried on by the local patient’ advocacy (Associazione Amici del Trapianto di Fegato) to define the rate of vaccinated subjects, SARS-CoV-2 infections and self-reported COVID-19-related outcomes. Results: Out of the consecutive 753 adult LT recipients invited to the survey, 356 responded (47.3%) [71% male, 63 years old (20–85), LT performed a mean of 9 years (1–26) before vaccination] and were included in the analysis. All patients received the first vaccine dose between December 2020 and January 2022 (81.7% Cominarty^®, 17.7% Spikevax^®, 0.3% Vaxzevria^® and 0.3% Jcovden^®). In the following years, adherence to the vaccination policy decreased progressively over time: the second, third, fourth, and fifth vaccine doses were administered to 99%, 94%, 72%, and 22% of the LT population by October, 2023. In total, 43 (12%) and 93 (26%) patients reported a COVID-19 episode before and after [13 (7–21) months] the first vaccination, respectively; none of the LT recipients reported a second COVID-19 infection after the following vaccination cycles. Forty-six (13%) reported short-term post-vaccination mild adverse events but none developed either acute or chronic rejection episodes or hospitalization for COVID-19-related symptoms. A total of 64% of LT recipients resulted positive for anti-nucleocapsid serological test in 2023. Conclusions: COVID-19 vaccines are safe and effective in LT recipients, underlining once again the importance of vaccination in this special population at higher risk of complications from communicable infectious diseases. Full article

This paper presents a pilot project conducted by ISPRA and ARPA Campania to develop a monitoring protocol to detect the presence of genetically modified (GM) oilseed rape (Brassica napus) plants resulting from accidental seed dispersal during transportation from entry points to storage and processing facilities; the project has been implemented in Italy’s Campania region. The unintentional dispersal of GM oilseed rape seeds and the potential establishment of feral populations have been identified as environmental concerns in various countries, even when GM oilseed rape is imported solely for processing and not for cultivation. The project activities were designed, taking into account the characteristics of the Italian environment and infrastructures. Multiple sampling campaigns were conducted in autumn 2018, spring 2019, and autumn 2019 to validate the selected transects and assess the presence of Brassicaceae species, with a particular focus on oilseed rape. These efforts involved direct monitoring and sample collection along transport routes from the port of Salerno to seed companies in the provinces of Benevento and Caserta. Field observations and import data revealed a decrease in oilseed rape movement at the port of Salerno in the years preceding the survey, while seed companies near Benevento remained active sites for white mustard (Sinapis alba). The presence of S. alba and the simultaneous occurrence of oilseed rape and Raphanus raphanistrum—a species with high hybridization potential—support the hypothesis that seed companies may act as hotspots for accidental seed dispersal and that potential interspecific gene flow can occur. The study also validated the adopted sampling and molecular analysis methods, including DNA extraction and PCR, for the detection of the Cruciferin A (CruA) gene in all Brassica species collected. These findings highlight the need to strengthen post-marketing monitoring plans, even when GM rapeseed is imported solely for processing, to mitigate the potential risks associated with unintended gene flow. Full article

This study estimates the impact of some socio-economic, real estate, and accessibility factors on the demographic change of the Italian provinces. Migration rates were analysed for one hundred and thirteen provincial capitals, or former provincial capitals, and their territories, and the correlation between them and various socio-economic and accessibility variables was studied. The data analysis showed significant heterogeneity between the different territorial areas of the country, highlighting the well-known phenomenon of migration from southern to northern regions. The aim of this paper is to investigate whether and to what extent accessibility variables have a direct influence on internal migration phenomena, in addition to the other socio-economic variables involved. Multiple linear regression models were specified and calibrated to correlate migration rates with various socio-economic and accessibility variables. The results show a non-negligible impact of certain accessibility variables on the migration phenomenon and suggest the need to work on the infrastructure front to rebalance the country’s demographic and socio-economic structure. Full article

This study investigated the predictive performance of three regression models—Gradient Boosting (GB), Random Forest (RF), and XGBoost—in forecasting mortality due to endocrine, nutritional, and metabolic diseases across Italian provinces. Utilizing a dataset encompassing air pollution metrics and socio-economic indices, the models were trained and tested to evaluate their accuracy and robustness. Performance was assessed using metrics such as coefficient of determination ($r^2$), mean absolute error (MAE), and root mean squared error (RMSE), revealing that GB outperformed both RF and XGB, offering superior predictive accuracy and model stability ($r^2$ = 0.55, MAE = 0.17, and RMSE = 0.05). To further interpret the results, SHAP (SHapley Additive exPlanations) analysis was applied to the best-performing model to identify the most influential features driving mortality predictions. The analysis highlighted the critical roles of specific pollutants, including benzene and socio-economic factors such as life quality and instruction, in influencing mortality rates. These findings underscore the interplay between environmental and socio-economic determinants in health outcomes and provide actionable insights for policymakers aiming to reduce health disparities and mitigate risk factors. By combining advanced machine learning techniques with explainability tools, this research demonstrates the potential for data-driven approaches to inform public health strategies and promote targeted interventions in the context of complex environmental and social determinants of health. Full article

This study examines the relationship between local economic structures and environmental sensitivity in Italy, focusing on a novel indicator that estimates the spatial variability of the Environmentally Sensitive Area Index (ESAI) over time. This approach captures within-region disparities in degradation processes, addressing a key gap in the existing literature. Using a dataset covering all Italian provinces from 1960 to 2010 and considering multiple socio-economic variables, the research evaluates their impacts on ESAI variability. In particular, this study adopts a spatial autoregressive model (SAR), which allows both direct and indirect effects of selected predictors to be captured. The findings offer insights for policymakers in designing strategies to mitigate the spread of land degradation hotspots and promote strategies that balance environmental conservation with socio-economic development to ensure resource sustainability. Full article

Background/Objectives: The Italian National Plan for Vaccine Prevention 2017–2019 recommended tetanus, diphtheria, and acellular pertussis vaccines (Tdap) for pregnant women, irrespectively of their immunization history. This study aims to describe the coverage rate trends for Tdap vaccination in pregnancy and evaluate the differences by socioeconomic status. Methods: This is a retrospective analysis within a health equity audit of the Local Health Authority of Reggio Emilia on vaccination in pregnancy from 2018 (a local vaccination campaign) to 2023. All women residents in our area who gave birth during that period were included and linked to the electronic Registry of Immunization Service. The vaccination coverage in pregnant women was analyzed over time and stratified by pregnant women’s sociodemographic and obstetric characteristics. Results: The coverage of Tdap in pregnant women of the Province of Reggio Emilia increased from 15.9% in 2018 to 53.9% in 2023. The coverage was higher among Italians, women with higher educational levels (aPR 1.49 (CI95%1.41–1.57)), within 31–35 years of age (aPR 1.37 (CI95% 1.28–1.46)), occupied, nulliparous (aPR multiparous vs nulliparous: 0.76 (0.74; 0.78)), and followed in the private sector (aPR 1.07 (1.03–1.11)). Inequalities in coverage increased during the study period for women assisted in the private sector, while decreased or remained stable for women assisted in the context of public services. Conclusions: The vaccination promotion campaign in Reggio Emilia helped increase Tdap coverage in pregnancy from 16 to 53%. Nevertheless, the coverage rates of the most disadvantaged women are still several points lower than the average. Full article

Background/Objectives: HPV is the most common sexually transmitted infectious agent worldwide and adolescents are at high risk of contracting HPV. The aim of our study was to find out how much adolescents know about the virus and its effects, and to obtain information on attitudes and behaviors regarding HPV vaccination to close these gaps. Methods: As part of the ESPRIT project, 598 lower secondary (11–14 years) and upper secondary (14–19 years) school students from three Italian regions were surveyed between December 2023 and March 2024 using a seven-question online questionnaire on awareness, knowledge, and attitudes about HPV and the HPV vaccine. Count and zero-inflation models were used to determine correlations between sexes, urban/suburban, province of residence, and school type with knowledge. Results: Lower secondary students believed that HPV causes HIV/AIDS (8.9%) or hepatitis C (3.0%) and rarely mentioned anal (21%) and oral sex (9.6%) as ways of transmission. Among upper secondary students, misconceptions were similar, with worrying rates of students stating that HPV only causes cancer in females (18%) or males (2.4%), and low rates of identifying transmission risk through anal (41%) and oral (34%) sex and genital contact (38%). The HPV vaccination rate was quite low (47% in lower secondary students, 61% in upper secondary students). In the regressions, sex, urban/suburban area, and province were the variables associated with higher levels of knowledge for lower secondary students; for upper secondary students, level of knowledge was associated with sex, urban/suburban area, school type, and province of residence. Conclusions: Awareness and knowledge of HPV and the HPV vaccine are low among Italian students in this study and reported vaccination coverage is below the national target. Coordinated efforts at the national level are needed to address this public health issue. Full article

This study investigated regional variations in the use of sedative psychotropic medications, often prescribed for insomnia, by comparing Italy and the culturally distinct Autonomous Province of Bolzano, South Tyrol. Using daily defined dose (DDD) data per 1000 inhabitants per day, benzodiazepines, Z-drugs, sedative antidepressants, and melatonin consumption from 2019 to 2023 were examined. The findings indicate a notably lower utilization of benzodiazepines in South Tyrol compared to the national Italian average, alongside a significant increase in sedative antidepressant use, particularly mirtazapine. These disparities likely stem from regional prescribing preferences influenced by cultural, linguistic, and healthcare system factors. While Z-drug consumption remained comparable across regions, melatonin use exhibited a gradual upward trend, albeit less pronounced in South Tyrol. These insights emphasize the necessity for region-specific strategies in optimizing insomnia treatment, balancing pharmacological approaches with non-pharmacological alternatives such as cognitive behavioral therapy for insomnia. Understanding these prescribing trends can inform healthcare policies aimed at reducing long-term sedative use while enhancing patient-centered care in sleep medicine. Full article

Background: Splenectomized patients have a higher risk compared to the general population of developing post-splenectomy infection, particularly by capsulated bacteria. Splenectomized patients need to be vaccinated against pneumococcal diseases, meningococcal disease, and heamophilus influenzae (Hib) in order to avoid invasive bacterial diseases. This study evaluated vaccination coverages among splenectomized patients in a Southern Italian province. Methods: A retrospective study was conducted evaluating all splenectomized patients from the Pescara province from 2015 to 2023. Vaccination coverages were calculated before and after splenectomy for the following vaccines: pneumococcal disease, meningococcal disease, Hib, and COVID-19. Results: A total of 97 patients were considered during the study period. Vaccination coverages were low before surgery, but they increased after splenectomy. Higher coverages were found against pneumococcal diseases (77.3%), meninigococcal disease (58.8%), and COVID-19 (91.8%). Conclusions: Vaccination coverages among splenectomized patients in the Pescara province are not satisfying. It is imperative to implement educational measures for patients and physicians to increase vaccination coverages. Full article