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Using ChatGPT in scientific research offers revolutionary opportunities thanks to its natural language interaction capabilities and production of coherent and sophisticated text.Artificial intelligence can automate activities such as information synthesis and schematization, improving scientific communication and computer code writing.However, the lack of a complete understanding of context, the risk of spreading misleading information, and the possibility of plagiarism represent some of the biggest limitations in the current use of this technology.The role of human experience remains fundamental for in-depth understanding of context, exercising critical thinking, and ensuring respect for the ethical principles of scientific research.A responsible and aware use of tools such as ChatGPT can offer great benefits to the scientific community, but it is essential to remember that these tools are only a support and cannot replace human judgment and experience.

Objectives: to estimate the number of deaths from noncommunicable chronic diseases (NCD) attributable to behavioural risk factors (tobacco smoking, unhealthy nutrition, physical inactivity, overweight, and excessive alcohol use) in 2016 for Italy and for the Italian regions., Design: descriptive study., Setting and Participants: mortality data were obtained by the Italian National Institute of Statistics. Causes of deaths from NCD associated with the five RFs were selected. Italian attributable fractions were obtained by the 2016 estimates of the Global Burden of Disease Study and applied to the mortality data. Regional prevalence of risk factors was obtained by the national surveillance system PASSI for the years 2013-2016., Main Outcome Measures: absolute number of attributable deaths, joint attributable fraction, proportion of total deaths attributable to RFs (MAprop)., Results: about 191,000 out of 614,307 deaths occurred in Italy in 2016 were attributable to combined RFs (about 37% in males; 26% in women). Joint MAprop was between 33% in men (24% in women) from Val d'Aosta and 40% in men (31% in women) from Campania. In Italy, 17% and 6% of the total amount of deaths were attributable to smoking in men and women, respectively; 6% and 3% to alcohol abuse; 7% and 8% to overweight; 13% and 12% to dietary RFs, and 2% and 3% to low physical activity. The higher proportion of attributable deaths by age-group was recorded in people aged 40-59 years (43% in men; 28% in women). Regional differences in attributable deaths are confirmed by regional RF prevalence recorded by the PASSI surveillance system for the years 2013-2016., Conclusions: these are the first estimates of the number of deaths due to NCDs attributable to behavioural RFs estimated for each region and for Italy as a whole. Effective primary prevention policies should be reinforced, since these RFs are potentially modifiable.

Objectives: to study regional differences in Italy of quit smoking attempts and of successful abstinence, in relation to socioeconomic status, cigarettes per day (cig/die), and smoking cessation method in a representative sample of the population resident in Italy., Design: cross-sectional survey., Setting and Participants: in 2014-2017, PASSI survey (the ongoing Italian behavioural risk factor surveillancesystem) gathered data on smoking and sociodemographic characteristics of 35,157 smokers; 13,130 aged 18-69 years made >1 quit attempt in the previous year, 1,176 of them were successful quitters for >6 months., Main Outcome Measures: proportion of smokers who tried to quit; proportion of smokers who successfully quitted., Results: about 35% of smokers made >1 quit attempt in the last year. Northern Italians and smokers with many economic difficulties were more likely to make a quit attempt, whereas heavy smokers were less likely. About 10% of attempters were abstinent for >6 months: from 6% in Campania and Abruzzo to 17% in the Bolzano province. Attempters who smoked <20 cig/die had higher likelihood to be abstinent, compared to those smoking <20 cig/die. Attempters with many economic difficulties had the lowest likelihood to be abstinent (7%), with no differences by region, educational level, quitting method. Attempters with no economic difficulties recorded the highest cessation rates (12%). Among them, those from Northern Italy, Tuscany, Marche, and Lazio (Central Italy), and Apulia (Southern Italy) compared to attempters from most Southern regions, and those with high education level or using traditional quitting methods compared to those using electronic cigarettes or unaided were more likely to be abstinent for >6 months., Conclusions: smokers with many economic difficulties in all Italy, and those with no economic difficulties residing in Umbria and in most Southern Italian regions, except for Basilicata and Puglia, recorded lower chances to quit. Regional differences may have two possible explanations integrating each other: Northern-Central regions are in a slightly more advanced stage in the tobacco epidemic; regions which developed specific tobacco control interventions in their Prevention Plans recorded higher quitting rates. Not-yet-implemented interventions could promote smoking cessation in smokers from Southern Italy and in those with lower socioeconomic status: reimbursement of smoking cessation treatments, a well-developed national Quitline linked to a webplatform and to mobile phone application or text-messaging, an opt-out smoking cessation service offered systematically to all smokers at every encounter in hospitals or health services.