Excess mortality in 22 European countries in 2020 and 2021: relationship with socioeconomic indicators

AIMS

For better understanding of the impact of COVID-19 pandemic on mortality in different countries, we studied the excess mortality from any cause during 2020 and 2021 in 22 European countries, and its relationship with three socioeconomic variables: life expectancy at birth in 2019, per capita income, and low education level.

METHODS

Using an ecological design, we analyzed excess mortality data between January 2020 and December 2021 in 22 European countries, obtained from the EuroMOMO surveillance system. Using weekly Z-score data for each country, we estimated the annual average deviation in mortality during 2020 and 2021 for each country. We analyzed possible relationships between the excess mortality and three independent variables: gross domestic product per capita (GDPpc) in 2020, life expectancy at birth in 2019, and proportion of the population over age 18 years with a lower than secondary education level in 2018.

RESULTS

In the 22 European countries analyzed, the total number of excess deaths in 2020 and 2021 was 800,011 (11%) more than expected, with deaths among those aged 65 years and over accounting for 87.66% of these. Excess mortality was higher in 2020, especially in Spain, UK, Italy, and France. In 2021, excess mortality was highest in Hungary, the Netherlands, France, and Germany. Excess mortality during 2021 was inversely correlated with life expectancy (r =-.489, p = .021) and income level (r =-.550, p = .008).

CONCLUSION

Reducing socioeconomic inequalities among countries not only improves conditions of most disadvantages but also will help to reduce excess of mortality from future pandemics.

[Patterns of cocaine use among cocaine users who do not use heroin recruited outside of treatment centers]

BACKGROUND

In Spain cocaine use, although relatively widespread, has produced few health problems, most likely because there is a preponderance of non-intensive intranasal use. To obtain data in this regard, we investigated the history and patterns of use in a group of cocaine users.

SUBJECTS AND METHODS

Cross-sectional survey carried out in 1993 among 381 cocaine users (289 men and 92 women) who did not use heroin and had not received treatment for drug dependence, recruited by non-probabilistic sampling outside of treatment centers in 35 Spanish cities. The results are presented separately for men and women.

RESULTS

The persons interviewed predominantly took cocaine sporadically, during the weekend, in moderate amounts (less than 0.4 g/day) and by the intranasal route. For only 7.2% was it very difficult or impossible to give up cocaine. These characteristics had persisted throughout the users' history; few users (18.1%) had taken cocaine more than 3 times a week in any period or had used a main route other than the intranasal route (10.8%). The proportion of those interviewed who used other drugs, mainly alcohol, tobacco and cannabis, was larger than in the general population in the same age group; interviewees also had a higher educational level and a lower level of unemployment. Women used cocaine, alcohol and tobacco in smaller amounts than men, and a smaller proportion of women stated that it was very difficult or impossible to give up cocaine.

CONCLUSIONS

In Spain, the cocaine users who do not use heroin have better educational and employment levels than general population, and generally they use cocaine sporadically, in moderate amounts and by the intranasal route. These circumstances may contribute to explain the relative scarcity of health problems associated to cocaine use.

Hospital stay length as an effect modifier of other risk factors for nosocomial infection

This paper addresses the problem of hospital stay length as a risk factor for nosocomial infection and as a modifier of the effect of other risk factors for hospital infection. Patients were selected form two cross-sectional studies done in two different seasons of 1986. Risk of infection rose fairly steadily as hospital stay length increased (correlation coefficient: 0.83, p less than 0.01). Several risk factors (operation, underlying disease, and age) were analyzed on the basis of 1) raw data and 2) data stratified by length of stay. The results showed that hospital stay length is a strong modifier of the remaining risk factors, generally reducing, their effect on the development of hospital infection as length of stay increases.