Determinants of smoking initiation among women in five European countries: a cross-sectional survey

<p>Abstract</p> <p>Background</p> <p>The rate of smoking and lung cancer among women is rising in Europe. The primary aim of this study was to determine why women begin smoking in five different European countries at different stages of the tobacco epidemic and to determine if smoking is associated with certain characteristics and/or beliefs about smoking.</p> <p>Methods</p> <p>A cross-sectional telephone survey on knowledge and beliefs about tobacco was conducted as part of the Women in Europe Against Lung Cancer and Smoking (WELAS) Project. A total of 5 000 adult women from France, Ireland, Italy, Czech Republic, and Sweden were interviewed, with 1 000 from each participating country. All participants were asked questions about demographics, knowledge and beliefs about smoking, and their tobacco use background. Current and former smokers also were asked questions about smoking initiation. Basic statistics on the cross-sectional data was reported with chi-squared and ANOVA p-values. Logistic regression was used to analyze ever versus never smokers. Linear regression analyses were used to analyze age of smoking initiation.</p> <p>Results</p> <p>Being older, being divorced, having friends/family who smoke, and having parents who smoke were all significantly associated with ever smoking, though the strength of the associations varied by country. The most frequently reported reason for initiation smoking was friend smoking, with 62.3% of ever smokers reporting friends as one of the reasons why they began smoking. Mean age of smoking initiation was 18.2 years and over 80% of participants started smoking by the age of 20. The highest levels of young initiators were in Sweden with 29.3% of women initiating smoking at age 14-15 and 12.0% initiating smoking younger than age 14. The lowest level of young initiators was in the Czech Republic with 13.7% of women initiating smoking at age 14-15 and 1.4% of women initiating smoking younger than age 14. Women who started smoking because their friends smoked or to look 'cool' were more likely to start smoking at a younger age. Women who started smoking to manage stress or to feel less depressed were more likely to start smoking at an older age.</p> <p>Conclusions</p> <p>In all five participating countries, friends were the primary factor influencing ever smoking, especially among younger women. The majority of participants began smoking in adolescence and the average reported age of smoking initiation was youngest in Sweden and oldest in the Czech Republic.</p

Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol

Introduction unCoVer - Unravelling data for rapid evidence-based response to COVID-19 - is a Horizon 2020-funded network of 29 partners from 18 countries capable of collecting and using real-world data (RWD) derived from the response and provision of care to patients with COVID-19 by health systems across Europe and elsewhere. unCoVer aims to exploit the full potential of this information to rapidly address clinical and epidemiological research questions arising from the evolving pandemic. Methods and analysis From the onset of the COVID-19 pandemic, partners are gathering RWD from electronic health records currently including information from over 22 000 hospitalised patients with COVID-19, and national surveillance and screening data, and registries with over 1 900 000 COVID-19 cases across Europe, with continuous updates. These heterogeneous datasets will be described, harmonised and integrated into a multi-user data repository operated through Opal-DataSHIELD, an interoperable open-source server application. Federated data analyses, without sharing or disclosing any individual-level data, will be performed with the objective to reveal patients' baseline characteristics, biomarkers, determinants of COVID-19 prognosis, safety and effectiveness of treatments, and potential strategies against COVID-19, as well as epidemiological patterns. These analyses will complement evidence from efficacy/safety clinical trials, where vulnerable, more complex/heterogeneous populations and those most at risk of severe COVID-19 are often excluded. Ethics and dissemination After strict ethical considerations, databases will be available through a federated data analysis platform that allows processing of available COVID-19 RWD without disclosing identification information to analysts and limiting output to data aggregates. Dissemination of unCoVer's activities will be related to the access and use of dissimilar RWD, as well as the results generated by the pooled analyses. Dissemination will include training and educational activities, scientific publications and conference communications.info:eu-repo/semantics/publishedVersio

[Second-hand smoke exposure in Florence and Belluno before and after the Italian smoke-free legislation].

INTRODUCTION: a law banning smoking in enclosed public places entered into force in Italy on January 10th 2005. OBJECTIVE: to compare the SHS exposure before and after the coming into force of the new anti-smoking law, with direct measurements in public venues and workplaces. METHODS: vapour-phase nicotine was measured using passive samplers, with personal and environmental sampling. SETTING: samples were collected in 10 municipality offices, 10 industry buildings and 11 public venues (4 discos and 7 pubs) in two towns (Florence and Belluno) from november 2004 to march 2005. RESULTS: during the pre-ban period a wide range of nicotine concentrations was observed. Offices and industry sector exhibited very low concentrations, 0,47 e 0,40 microg/m3 in median, respectively. Highest concentrations were measured in pubs and discos (35,59 and 127,16 microg/m3). After the smoking ban, a noteworthy reduction in nicotine concentrations was found with a stronger effect in pubs and discos (95% of decrease). DISCUSSION: the introduction of a national smoking ban led to a clear reduction in SHS exposure, with stronger results in environments less protected by previous regulations

Prevalence of second-hand smoke exposure after introduction of the Italian smoking ban: the Florence and Belluno survey.

AIMS AND BACKGROUND: A law banning smoking in enclosed public places was implemented in Italy on January 10, 2005. The aim of this paper is to present a cross-sectional survey on two representative samples of non-smokers of two Italian towns (Florence and Belluno), conducted one year after the introduction of the ban, in order to assess prevalence of second-hand smoke exposure, to record the attitudes towards the ban, and the perception about its compliance in a representative sample of non-smokers. METHODS: Computer-assisted telephone interviews were carried out in March 2006, from a random sample of households from telephone registries. Respondents were 402 non-smokers from Belluno and 1,073 from Florence. RESULTS: About 12% of Florentines and 7% of Belluno respondents were exposed at home; 39% and 19%, respectively, at work; 10% and 5% in hospitality venues; 20% and 10% in cars. The smoke-free law was almost universally supported (about 98%) even if a smaller proportion of people (about 90%) had the perception that the ban was observed. CONCLUSIONS: Second-hand smoke exposure at home and in hospitality premises has dropped to < or = 10%, whereas exposure at work remained higher. These results suggest the need for more controls in workplaces other than hospitality venues

Attitudes of women from five European countries regarding tobacco control policies.

AimsTobacco-related cancers and, in particular, lung cancer still represents a substantial public health epidemic across Europe as a result of high rates of smoking prevalence. Countries in Europe have proposed and implemented tobacco control policies to reduce smoking prevalence, with some countries being more progressive than others. The aim of this study was to examine factors that influenced women's attitudes across five European countries relative to comprehensive smokefree laws in their countries.MethodsA cross-sectional landline telephone survey on attitudes towards tobacco control laws was conducted in five European countries: France, Ireland, Italy, the Czech Republic, and Sweden. Attitudinal scores were determined for each respondent relative to questions about smokefree laws. Logistic regression models were used to obtain odds ratios with 95% confidence intervals.ResultsA total of 5000 women were interviewed (1000 women from each country). The majority of women, regardless of smoking history, objected to smoking in public buses, enclosed shopping centers, hospitals, and other indoor work places. More women who had quit smoking believed that new tobacco control laws would prompt cessation - as compared with women who still smoked.ConclusionsIn general, there is very high support for national smokefree laws that cover bars, restaurants, and public transport systems. As such laws are implemented, attitudes do change, as demonstrated by the differences between countries such as Ireland and the Czech Republic. Implementing comprehensive smokefree laws will gain high approval and will be associated with prompting people to quit

Ten rules for conducting retrospective pharmacoepidemiological analyses: example COVID-19 study

Since the beginning of the COVID-19 pandemic, pharmaceutical treatment hypotheses have abounded, each requiring careful evaluation. A randomized controlled trial generally provides the most credible evaluation of a treatment, but the efficiency and effectiveness of the trial depend on the existing evidence supporting the treatment. The researcher must therefore compile a body of evidence justifying the use of time and resources to further investigate a treatment hypothesis in a trial. An observational study can provide this evidence, but the lack of randomized exposure and the researcher’s inability to control treatment administration and data collection introduce significant challenges. A proper analysis of observational health care data thus requires contributions from experts in a diverse set of topics ranging from epidemiology and causal analysis to relevant medical specialties and data sources. Here we summarize these contributions as 10 rules that serve as an end-to-end introduction to retrospective pharmacoepidemiological analyses of observational health care data using a running example of a hypothetical COVID-19 study. A detailed supplement presents a practical how-to guide for following each rule. When carefully designed and properly executed, a retrospective pharmacoepidemiological analysis framed around these rules will inform the decisions of whether and how to investigate a treatment hypothesis in a randomized controlled trial. This work has important implications for any future pandemic by prescribing what we can and should do while the world waits for global vaccine distribution