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ObjectivesItaly is one of the first countries that imposed a nationwide stay-at-home order during the COVID-19 outbreak, inevitably resulting in changes in lifestyles and addictive behaviours. The aim of this work is to investigate the impact of lockdown restrictions on smoking habits using data collected within the Lost in Italy project.MethodsA web-based cross-sectional study was conducted on a representative sample of 6003 Italian adults aged 18–74 years. Study subjects were recruited from 27 April to 3 May 2020 and were asked to report changes in smoking habits before the lockdown and at the time of interview.ResultsDuring the lockdown, 5.5% of the overall sample quit or reduced smoking, but 9.0% of the sample started, relapsed smoking or increased their smoking intensity. In total, the lockdown increased cigarette consumption by 9.1%. An improvement in smoking habits was associated with younger age, occasional smoking and unemployment, whereas a worsening was mainly associated with mental distress. In particular, an increase in cigarette consumption during lockdown was more frequently reported among those with worsening quality of life (OR: 2.05; 95% CI: 1.49 to 2.80), reduction in sleep quantity (OR: 2.29; 95% CI: 1.71 to 3.07) and increased anxiety (OR: 1.83; 95% CI: 1.38 to 2.43) and depressive symptoms (OR: 2.04; 95% CI: 1.54 to 2.71).ConclusionsCOVID-19 lockdown had a huge impact on smoking consumption of the Italian general population. The main concern is for smokers who increase their cigarette consumption due to an increased mental distress. Providing greater resources for cessation services capable of reducing mental health symptoms in smokers is urgently needed.

Since the World Health Organization (WHO) declared the coronavirus infectious disease 2019 (COVID-19) outbreak a pandemic on 11 March, severe lockdown measures have been adopted by the Italian Government. For over two months of stay-at-home orders, houses became the only place where people slept, ate, worked, practiced sports, and socialized. As consolidated evidence exists on housing as a determinant of health, it is of great interest to explore the impact that COVID-19 response-related lockdown measures have had on mental health and well-being. We conducted a large web-based survey on 8177 students from a university institute in Milan, Northern Italy, one of the regions most heavily hit by the pandemic in Europe. As emerged from our analysis, poor housing is associated with increased risk of depressive symptoms during lockdown. In particular, living in apartments <60 m2 with poor views and scarce indoor quality is associated with, respectively, 1.31 (95% CI: 1046–1637), 1.368 (95% CI: 1166–1605), and 2.253 (95% CI: 1918–2647) times the risk of moderate–severe and severe depressive symptoms. Subjects reporting worsened working performance from home were over four times more likely to also report depression (OR = 4.28, 95% CI: 3713–4924). Housing design strategies should focus on larger and more livable living spaces facing green areas. We argue that a strengthened multi-interdisciplinary approach, involving urban planning, public mental health, environmental health, epidemiology, and sociology, is needed to investigate the effects of the built environment on mental health, so as to inform welfare and housing policies centered on population well-being.

Depression is a major contributor to the overall global burden of disease, with high prevalence and relapse rate. Several factors have been considered in order to reduce the depression burden. Among them, physical activity (PA) showed a potential protective role. However, evidence is contrasting probably because of the differences in PA measurement. The aim of this systematic review with meta-analysis is to assess the association between objectively measured PA and incident and prevalent depression. The systematic review was conducted according to methods recommended by the Cochrane Collaboration and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Relevant papers published through 31 August 2019 were identified searching through the electronic databases PubMed/MEDLINE, Excerpta Medica dataBASE (Embase), PsycINFO, Scopus, Web of Science (WoS), and the Cochrane Library. All analyses were conducted using ProMeta3. Finally, 42 studies met inclusion criteria. The overall Effect size (ES) of depression for the highest vs. the lowest level of PA was −1.16 [(95% CI = −1.41; −0.91), p-value < 0.001] based on 37,408 participants. The results of the meta-analysis showed a potential protective effect of PA on prevalent and incident depression.

Background eHealth Literacy (eHL) is a set of competencies and skills encompassing the knowledge, comfort and perceived ability to identify, evaluate and apply electronic health information to health problems. Given its role in the appropriate use of health technologies, ensuring equitable access to health information and improving patient outcomes, this study aims to systematically retrieve, qualitatively and quantitative pool and critically appraise available experimental evidence on the effectiveness of eHL interventions across different population groups. Methods Following the PRISMA guidelines, we conducted a systematic review in PubMed/Medline, Scopus, Web of Science, Embase, Cochrane Library and ClinicalTrials.gov, including original experimental studies quantifying the effectiveness of interventions aimed at increasing eHL, as assessed by the eHealth Literacy Scale (eHEALS) or other validated scales. We performed a random-effects model meta-analysis comparing changes in eHL levels before and after the interventions, and between the intervention and control groups. Heterogeneity was assessed using I 2 statistics. Results Out of the 504 studies retrieved, 15 studies conducted between 2011 and 2023 met the inclusion criteria. Target populations of eHL interventions included adults in 7 studies, older people in 5 and young people in 4. The meta-analysis included 10 studies that used the eHEALS. Participants showed a mean increase in eHEALS scores of 5.81 points (95% CI = 3.36–8.26, N  = 1025) following the eHL interventions compared to the pre-intervention period. In the analysis between the intervention and control groups, we found a statistically significant difference in eHL improvement in favour of the intervention group, with mean eHEALS scores 3.62 points (95% CI = 1.63–5.60, N  = 1258) higher in the intervention group than in the control groups. Subgroup analyses by intervention type, stratified by Collaborative Learning (CL) or Individualistic Learning (IL) showed significant increases in eHealth Literacy in the pre-post intervention analysis (CL: UMD = 5.19, CI = 0.01–10.38, N  = 402; IL: UMD = 6.05; CI = 3.14–8.97, N  = 623) and in the intervention vs. control analysis in the IL group (DMD = 4.98; CI = 1.77–8.12, N  = 540). Conclusions Our findings support the effectiveness of tailored interventions in significantly enhancing eHL, providing key insights for evidence-based intervention design targeted to different population groups.

ObjectiveDebate continues about whether electronic cigarettes (e-cigarettes) and heated tobacco products (HTP) reduce or increase the probability of smoking, with many studies compromised by stated or unstated conflicts of interest. We undertook a longitudinal study in Italy.Methods3185 Italian participants aged 18–74 years provided baseline (April–May) and follow-up (November–December) responses in 2020, reporting smoking status and use of e-cigarettes and HTP. We tracked transitions over that period and reported risk ratios (RR) and corresponding 95% CIs for changes in smoking in relation to baseline use of e-cigarettes and HTPs.ResultsNever cigarette smokers who used e-cigarettes at baseline were much more likely to start smoking (compared with never users, RR 8.78; 95% CI: 5.65 to 13.65) and current HTP users (RR 5.80; 95% CI: 3.65 to 9.20). Among ex-smokers, relapse (17.2%) at follow-up was more likely among e-cigarette (RR 4.25; 95% CI: 2.40 to 7.52) and HTP users (RR 3.32; 95% CI: 2.05 to 5.37). Among current smokers at baseline, those who had continued smoking at follow-up were 85.4% overall. These were more frequently current novel product users (compared with non-users, RR 1.10; 95% CI: 1.02 to 1.19 for e-cigarette users; RR 1.17; 95% CI: 1.10 to 1.23 for HTP users).ConclusionsBoth e-cigarette and HTP use predict starting smoking and relapse, and appear to reduce smoking cessation. Due to the limited sample size within specific strata, the association with quitting smoking should be confirmed by larger prospective studies. These findings do not support the use of e-cigarettes and HTPs in tobacco control as a consumer product, at least in Italy.

A mass vaccination center is a location, normally used for nonhealthcare activities, set up for high-volume and high-speed vaccinations during infectious disease emergencies. The high contagiousness and mortality of COVID-19 and the complete lack of population immunity posed an extraordinary threat for global health. The aim of our research was to collect and review previous experiences on mass vaccination centers. On 4 April 2021, we developed a rapid review searching four electronic databases: PubMed/Medline, Scopus, EMBASE, Google Scholar and medRxiv. From a total of 2312 papers, 15 of them were included in the current review. Among them, only one article described a COVID-19 vaccination center; all of the others referred to other vaccinations, in particular influenza. The majority were conducted in the United States, and were simulations or single-day experiences to practice a mass vaccination after bioterrorist attacks. Indeed, all of them were published after September 11 attacks. Regarding staff, timing and performance, the data were highly heterogenous. Several studies used as a model the Center for Disease Control and Prevention guidelines. Results highlighted the differences around the definition, layout and management of a mass vaccination center, but some aspects can be considered as a core aspect. In light of this, we suggested a potential definition. The current review answers to the urgency of organizing a mass vaccination center during the COVID-19 pandemic, highlighting the most important organizational aspects that should be considered in the planning.

Introduction: Using data from the TackSHS survey, we aim to provide updated estimates on the prevalence and determinants of overweight and obesity in Europe. Methods: A face-to-face survey was conducted in 2017–2018 in 12 European countries (Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania, and Spain). Overall, 10,810 participants, representative in each country of the general adult population, provided information on self-reported height and weight. Results: Almost half of participants (48.1%; 95% confidence interval, CI: 47.2–49.1) reported to be overweight or obese (54.1% in men and 42.5% in women) and 12.6% (95% CI: 12.0–13.2) obese (11.3% in men and 13.8% in women). Obesity prevalence was lowest in Italy (7.5%) and France (8.8%) and highest in Greece (19.7%) and Romania (21.1%). Multilevel logistic random-effects analyses showed that prevalence of obesity was related with higher age and lower level of education and socioeconomic status. As compared to northern European countries, Western and Southern European ones showed a significantly lower obesity prevalence. When compared to a companion study conducted in 2010, Eastern and Northern European countries showed an increased trend in obesity prevalence. Conversely, countries with the lowest obesity prevalence (less than 10%), such as Italy and France, showed a decreased trend. Conclusions: Despite a large heterogeneity across countries, overweight and obesity prevalence estimates in Europe are alarming, with most of the countries reporting obesity prevalence approaching 20% or more, particularly in Eastern and Northern Europe. Since 2010, obesity prevalence increased in most of these countries.

Background Retirement is a life-course transition likely to affect, through different mechanisms, behavioural risk factors’ patterns and, ultimately, health outcomes. We assessed the impact of transitioning to retirement on lifestyle habits and perceived health status in a nationwide cohort of Italian adults. Methods We analysed data from a large cohort of Italian adults aged 55–70, derived from linking six waves of the Participation, Labour, Unemployment Survey (PLUS), a national survey representative of the Italian workforce population, conducted between 2010 and 2018. We estimated relative-risk ratios (RRR) of transition to retirement and their corresponding 95% confidence intervals (CIs) for selected behavioural risk factors and health outcomes using multivariable logistic regression models. We used propensity score matching (PSM) to account for potential confounders. Results We included 5169 subjects in the study population, of which 1653 retired between 2010 and 2018 (exposed, 32%). Transition to retirement was associated with a 36% increased probability of practising sports (RRR 1.36, 95% CI 1.12–1.64). No statistically significant changes were reported for smoking habit (current smoker RRR: 1.18, 95% CI 0.94–1.46) and BMI (overweight/obese RRR: 0.96, 95% CI 0.81–1.15). Overall, retiring was associated with improved self-rated health status (RRR 1.26, 95% CI 1.02–1.58). Conclusion Individual data-linkage of multiple waves of the PLUS can offer great insight to inform healthy ageing policies in Italy and Europe. Transition to retirement has an independent effect on perceived health status, physical activity and selected behavioural risk factors. It should be identified as a target moment for preventive interventions, with particular reference to primary prevention so as to promote health and wellbeing in older ages.

Background Preventive dental care, despite its well-established benefits, is underutilized in many jurisdictions, including Italy, where a curative approach often prevails. An international KAP survey (Italy, Switzerland, Serbia, India, Argentina, Spain) was planned to assess the dentists’ knowledge, attitudes, and barriers to preventive care, exploring the influence of age and gender, alongside factors like revenues and time. The present study specifically reports on the data collected from the Italian cohort, serving as a pilot within this broader international endeavour. Methods A cross-sectional survey on Italian dentists was conducted. The questionnaire, originally in English, underwent back-translation to ensure linguistic accuracy before evaluating knowledge, attitudes, and barriers. The data collected via Google Forms were analysed using STATA ® 18.0, with descriptive statistics, contingency table analysis, Cuzick’s test and multinomial logistic regression being used. Results Three-hundred-twenty-two questionnaires were completed (65.8% male, 34.2% female), with the 46–65 age group being the largest (50%). The distribution of participants across dental specialties varied significantly by gender: female dentists predominated in Pediatric Dentistry (84.6%) and Orthodontics (61.1%), while males were more prevalent in Oral Surgery (87.18%). Age significantly impacted knowledge of sugar intake ( p  = 0.04) and fluoride use ( p  < 0.01), with younger dentists showing higher knowledge. Knowledge on sealant application was significantly higher among males compared to females ( p  = 0.04). Age affected attitudes toward smoking cessation and providing oral hygiene instruction ( p  < 0.01). Males reported higher remuneration concerns ( p  = 0.03). Multinomial logistic regression identified female gender, first visit age, sugar consumption knowledge, and perceived knowledge deficit as significant predictors of the age-knowledge interaction. Conclusions Statistically significant age and gender disparities exist in knowledge, attitudes, and barriers to preventive dental care among Italian dentists. Younger dentists demonstrated superior preventive knowledge, while older dentists perceived greater knowledge deficits. Gender influenced knowledge and remuneration concerns. Educational interventions and policy changes are needed to integrate preventive practices, addressing age and gender-specific needs.

COVID-19 outbreak imposed rapid and severe public policies that consistently impacted the lifestyle habits and mental health of the general population. Despite vaccination, lockdown restrictions are still considered as potential measures to contrast COVID-19 variants spread in several countries. Recent studies have highlighted the impacts of lockdowns on the population’s mental health; however, the role of the indoor housing environment where people spent most of their time has rarely been considered. Data from 8177 undergraduate and graduate students were collected in a large, cross-sectional, web-based survey, submitted to a university in Northern Italy during the first lockdown period from 1 April to 1 May 2020. Logistic regression analysis showed significant associations between moderate and severe depression symptomatology (PHQ-9 scores ≥ 15), and houses with both poor indoor quality and small dimensions (OR = 4.132), either medium dimensions (OR = 3.249) or big dimensions (OR = 3.522). It was also found that, regardless of housing size, poor indoor quality is significantly associated with moderate–severe depressive symptomatology. Further studies are encouraged to explore the long-term impact of built environment parameter modifications on mental health, and therefore support housing and public health policies.