Diet is an important component of type 2 diabetes therapy. Low adherence to current therapeutic diets points out to the need for alternative dietary approaches. This study evaluated the effect of a different dietary approach, the macrobiotic Ma-Pi 2 diet, and compared it with standard diets recommended for patients with type 2 diabetes.

Results of this rapid review suggest a positive effect of the containment measures on the spread of COVID-19 pandemic, with a major effect in countries where lockdown started early and was more restrictive. Rigorous research is warranted to evaluate which approach is the most effective in each stage of the epidemic and in specific social contexts, in particular addressing if these approaches should be implemented on the whole population or target specific risk groups.

Several approaches have been developed to estimate age, an important aspect of forensics and orthodontics, using different measures and radiological examinations. Here, through meta-analysis, we determined the validity of age estimation methods and reproducibility of bone/dental maturity indices used for age estimation. The PubMed and Google Scholar databases were searched to December 31, 2021 for human cross-sectional studies meeting pre-defined PICOS criteria that simultaneously assessed the reproducibility and validity. Meta-estimates of validity (mean error: estimated age-chronological age) and intra- and inter-observer reproducibility (Cohen’s kappa, intraclass correlation coefficient) and their predictive intervals (PI) were calculated using mixed-effect models when heterogeneity was high (I² > 50%). The literature search identified 433 studies, and 23 met the inclusion criteria. The mean error meta-estimate (mixed effects model) was 0.08 years (95% CI − 0.12; 0.29) in males and 0.09 (95% CI − 0.12; 0.30) in females. The PI of each method spanned zero; of nine reported estimation methods, Cameriere’s had the smallest (− 0.82; 0.47) and Haavikko’s the largest (− 7.24; 4.57) PI. The reproducibility meta-estimate (fixed effects model) was 0.98 (95% CI 0.97; 1.00) for intra- and 0.99 (95% CI 0.98; 1.00) for inter-observer agreement. All methods were valid but with different levels of precision. The intra- and inter-observer reproducibility was high and homogeneous across studies.

The aim of the study was to evaluate the impact of the coronavirus pandemic on the willingness, anxiety and concerns of Italian people on undergoing dental appointments. An anonymous survey was posted online on social media on 11 May 2020 and was completed by 1003 respondents in one week. Multiple correspondence analysis and multiple logistic regression were used to evaluate the association between socio-demographic characteristics, dental care access, contagion fear of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), trust in dentists regarding sanitization procedures and perception of the impact of the risk of contagion on dental care. Subjects with a high level of education, attending public dental offices and that are used to go to dental offices for urgent care would not feel comfortable in undergoing a dental appointment and would prefer to postpone or cancel dental visits, waiting for a decrease in the number of the contagions. Moreover, the risk of canceling or postponing the appointment at the dentist was 1.59 times greater in those who claimed to be strongly influenced by SARS-CoV-2. Fear of coronavirus disease (COVID-19), new cases decrease and the not urgent nature of dental visits influenced more than the lowered income household on upcoming or resuming dental appointments. In the next months, despite the forecasted economic crisis caused by coronavirus pandemic, fear and anxiety generated by the spread of the virus will impact more than the lowered familiar income with regards to access to dental care.

The purpose of the study was to map and describe the healthcare utilization databases (HUDs) available in Italy’s 19 regions and two autonomous provinces and develop a tool to navigate through them. A census of the HUDs covering the population of a single region/province and recording local-level data was conducted between January 2014 and October 2016. The characteristics of each HUD regarding the start year, data type and completeness, data management system (DMS), data protection procedures, and data quality control adopted were collected through interviews with the database managers using a standard questionnaire or directly from the website of the regional body managing them. Overall, 352 HUDs met the study criteria. The DMSs, anonymization procedures of personal identification data, and frequency of data quality control were fairly homogeneous within regions, whereas the number of HUDs, data availability, type of identification code, and anonymization procedures were considerably heterogeneous across regions. The study provides an updated inventory of the available regional HUDs in Italy and highlights the need for greater homogeneity across regions to improve comparability of health data from secondary sources. It could represent a reference model for other countries to provide information on the available HUDs and their features, enhancing epidemiological studies across countries.