Designing and implementing an experimental survey on knowledge and perceptions about alcohol warning labels

OBJECTIVES

This paper describes the design and implementation of an online survey experiment to investigate the effects of alcohol warning labels on alcohol-related knowledge, risk perceptions and intentions.

METHOD

The survey collected self-reported data from 14 European countries through two waves of data collection with different recruitment strategies: dissemination via social media and public health agencies was followed by paid-for Facebook ads. The latter strategy was adopted to achieve broader population representation. Post-stratification weighting was used to match the sample to population demographics.

RESULTS

The survey received over 34,000 visits and resulted in a sample size of 19,601 participants with complete data on key sociodemographic characteristics. The responses in the first wave were over-representing females and higher educated people, thus the dissemination was complemented by the paid-for Facebook ads targeting more diverse populations but had higher attrition rate.

CONCLUSION

Experiments can be integrated into general population surveys. Pan-European results can be achieved with limited resources and a combination of sampling methods to compensate for different biases, and statistical adjustments.

SARS-CoV-2 clade dynamics and their associations with hospitalisations during the first two years of the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic was characterised by rapid waves of disease, carried by the emergence of new and more infectious SARS-CoV-2 virus variants. How the pandemic unfolded in various locations during its first two years has yet to be sufficiently covered. To this end, here we are looking at the circulating SARS-CoV-2 variants, their diversity, and hospitalisation rates in Estonia in the period from March 2000 to March 2022.

METHODS

We sequenced a total of 27,550 SARS-CoV-2 samples in Estonia between March 2020 and March 2022. High-quality sequences were genotyped and assigned to Nextstrain clades and Pango lineages. We used regression analysis to determine the dynamics of lineage diversity and the probability of clade-specific hospitalisation stratified by age and sex.

RESULTS

We successfully sequenced a total of 25,375 SARS-CoV-2 genomes (or 92%), identifying 19 Nextstrain clades and 199 Pango lineages. In 2020 the most prevalent clades were 20B and 20A. The various subsequent waves of infection were driven by 20I (Alpha), 21J (Delta) and Omicron clades 21K and 21L. Lineage diversity via the Shannon index was at its highest during the Delta wave. About 3% of sequenced SARS-CoV-2 samples came from hospitalised individuals. Hospitalisation increased markedly with age in the over-forties, and was negligible in the under-forties. Vaccination decreased the odds of hospitalisation in over-forties. The effect of vaccination on hospitalisation rates was strongly dependent upon age but was clade-independent. People who were infected with Omicron clades had a lower hospitalisation likelihood in age groups of forty and over than was the case with pre-Omicron clades regardless of vaccination status.

CONCLUSIONS

COVID-19 disease waves in Estonia were driven by the Alpha, Delta, and Omicron clades. Omicron clades were associated with a substantially lower hospitalisation probability than pre-Omicron clades. The protective effect of vaccination in reducing hospitalisation likelihood was independent of the involved clade.

Public awareness of the alcohol-cancer link in the EU and UK: a scoping review

BACKGROUND

Alcohol increases cancer risk, but less is known about public awareness of this link. This scoping review summarizes recent findings on the public awareness of alcohol as a cancer risk factor in European Union and UK.

METHODS

Four databases (Web of Science, MEDLINE, PsycInfo, CINAHL) were searched for papers containing data on awareness of alcohol as cancer risk factor in EU or UK published between January 2017 and December 2022, and complemented with grey literature searches.

RESULTS

In total, 45 studies were included covering 18 EU countries (Austria, Belgium, Cyprus, Czechia, Denmark, Finland, France, Germany, Hungary, Ireland, Italy, Netherlands, Poland, Romania, Slovakia, Slovenia, Spain, Sweden) and UK, presenting data collected between 2009 and 2022. Studies covered general population (17 studied a nationally representative sample), women, health professionals, patients and young people. Awareness of alcohol causing cancer in general was higher and studied more often than awareness of alcohol's impact on specific cancers. Among the EU general population, awareness of the link between alcohol and breast cancer ranged between 10% and 20%, head and neck cancer 15-25%, colorectal and oesophagus cancer 15-45% and liver cancer 40%. Awareness was higher among young people and specialized health professions and lower among women (the latter specifically for the breast cancer).

CONCLUSIONS

While awareness rates varied depending on the exact question wording, many studies showed low awareness of the alcohol-cancer link, especially for specific types such as breast and colon cancer. Public should be better informed about alcohol consumption-related cancer risk.

Prognosis and Personalized In Silico Prediction of Treatment Efficacy in Cardiovascular and Chronic Kidney Disease: A Proof-of-Concept Study

(1) Background: Kidney and cardiovascular diseases are responsible for a large fraction of population morbidity and mortality. Early, targeted, personalized intervention represents the ideal approach to cope with this challenge. Proteomic/peptidomic changes are largely responsible for the onset and progression of these diseases and should hold information about the optimal means of treatment and prevention. (2) Methods: We investigated the prediction of renal or cardiovascular events using previously defined urinary peptidomic classifiers CKD273, HF2, and CAD160 in a cohort of 5585 subjects, in a retrospective study. (3) Results: We have demonstrated a highly significant prediction of events, with an HR of 2.59, 1.71, and 4.12 for HF, CAD, and CKD, respectively. We applied in silico treatment, implementing on each patient's urinary profile changes to the classifiers corresponding to exactly defined peptide abundance changes, following commonly used interventions (MRA, SGLT2i, DPP4i, ARB, GLP1RA, olive oil, and exercise), as defined in previous studies. Applying the proteomic classifiers after the in silico treatment indicated the individual benefits of specific interventions on a personalized level. (4) Conclusions: The in silico evaluation may provide information on the future impact of specific drugs and interventions on endpoints, opening the door to a precision-based medicine approach. An investigation into the extent of the benefit of this approach in a prospective clinical trial is warranted.

Like Frying Multiple Eggs in One Pan: a Qualitative Study Exploring the Understanding of Inter-speciality Training in Cancer Care

H igh-quality cancer care is a key priority worldwide. Caring for people affected by cancer requires a range of specific knowledge, skills and experience to deliver the complex care regimens both within the hospital and within the community environment. In June 2022, the European Cancer Organisation along with 33 European cancer societies began working together to develop a curriculum for inter-speciality training for healthcare professionals across Europe. As part of the project, this research consisted of a qualitative survey distributed to the European Union societies via email. The aim of this paper is to disseminate the qualitative findings from healthcare professionals across Europe. Questionnaires were sent out to a convenience sample of 219 healthcare professionals and patient advocates with a response rate of 55% (n = 115). The findings identified that there were four key themes: 'What is inter-speciality training?', 'Barriers and challenges', 'Support throughout the cancer journey' and 'New ways of working'. These results are part of a larger needs analysis and scoping review to inform the development of a core competency framework which will be part of an inter-speciality curriculum for specialist cancer doctors, nurses and other healthcare professionals across Europe. Healthcare professionals will be able to access education and training through the virtual learning environment and workshops and by clinical rotations to other specialties.