Search

Aim: The goal of this paper is to analyze the COVID-19 policies of 10 European countries, including Sweden, Finland, Norway, Italy, France, Germany, Poland, Belgium, the Netherlands, and Hungary, with a time-series policy analysis tool. Subject and methods: The results of the COVID-19 policy analysis are based on a single time-series indicator, or daily population mortality rate: the number of COVID-19 daily cumulative deaths divided by the population in millions. The lower the score, the better the policy. Although many experts believe that the COVID-19 policy outcome analysis is premature, time series analysis is an excellent analysis that can provide information on the progress and transition of policy outcomes. In other words, the proposed time series analysis tool allows policymakers to identify and quantify when mistakes were made during the on-going COVID-19 pandemic. Results: The COVID-19 policy analysis discovered many useful facts. Sweden failed due to the herd immunity approach. Hungary made a fundamental mistake in COVID-19 tactics. Countries such as Sweden, Hungary, Belgium, and Poland showed time-series changes that differed from the others. Conclusion: Public health interventions can play a key role in mitigating the COVID-19 pandemic. The proposed policy analysis tool, hiscovid demonstrated the effectiveness of the time-series score behavior for discovering when policymakers made mistakes. [ABSTRACT FROM AUTHOR]

Evidence is accumulating of the negative impact of the COVID‐19 pandemic and related public health measures on mental health. In this emergent field, there has been little research into the role of risk perception on depressive symptoms and the contribution of health‐care resources to model risk perception and mental health. The aim of this paper is to describe the relationship between individual‐level perception of risk and depression, controlling for a set of confounders and for country‐level heterogeneity. A cross‐sectional and observational online survey was conducted using a non‐probability snowball sampling technique. We use data on 11,340 respondents, living in six European countries (Italy, Sweden, United Kingdom, France, Poland, Czech Republic) who completed survey questionnaires during the first months of the pandemic. We used a fixed‐effect approach, which included individual and macro‐level variables. The findings suggest that a high proportion of people suffering from depression and heightened risk perception is positively associated with reporting depressive symptoms, even if this relationship varies significantly between countries. Moreover, the association is moderated by contextual factors including health‐care expenditure as a percentage of Gross Domestic Product, hospital beds for acute care, and number of medical specialists per head of population. Investment in health care offers a concrete means of protecting the mental health of a population living under pandemic restrictions. [ABSTRACT FROM AUTHOR]

BACKGROUND: Several studies have been performed on the relationship between working conditions and health. Numerous parameters still require further study, including working hours and obesity among different groups, specifically older workers in national, regional, and international levels. OBJECTIVE: Working hours have considerable effects on the socio-cultural, psychological, and economic aspects of people's lives and health. While long working hours increases income level and raises living standards, it increases the risk of certain health problems. This study investigated whether working hours are associated with obesity in upper-middle-aged workers. METHODS: The Survey of Health, Ageing and Retirement in Europe (SHARE) dataset was used for the analyses. Analyses were carried out by means of a Cox regression of the panel dataset created with the data in question, surveyed by European Commission to 12,000 participants. RESULTS: The survey was performed in Austria, Belgium, Switzerland, Germany, Denmark, Spain, France, Greece, Italy, the Netherlands, Sweden, the Czech Republic, Poland, and Ireland. We found that in most countries, especially Sweden and the Netherlands, upper-middle-aged employees working > 59 hours per week are more likely to gain weight than their counterparts working < 59 hours. CONCLUSIONS: Our findings raise awareness of obesity in older workers, and highlight the need to regulate working conditions and hours in the European Union and other countries. [ABSTRACT FROM AUTHOR]