ABSTRACT
Background: Earlier death among people in socioeconomically deprived circumstances has been found internationally and for various causes of death, resulting in a considerable life expectancy gap between socioeconomic groups. This study examines how age- and cause-specific mortality contributions to the socioeconomic gap in life expectancy have changed in Germany over time. Methods: Official German population and cause-of-death statistics from 2003 to 2021 were linked to the district-level German Index of Socioeconomic Deprivation. Life-table and decomposition methods were applied to calculate life expectancy by deprivation quintile and decompose the life expectancy gap (∆LE) between the most and least deprived quintiles into age- and cause-specific mortality contributions. Findings: From 2003 to 2019, the ∆LE between the most and least deprived quintiles of districts increased from 1.1 to 1.8 years among women and from 3.0 to 3.1 years among men. Thereafter, in the COVID-19 pandemic, it increased more rapidly to 2.2 and 3.5 years respectively in 2021. The causes of death contributing most to the ∆LE were cardiovascular diseases (CVD) and cancer, with declining contributions of CVD deaths at age 70 and above and increasing contributions of cancer deaths at ages 40-74 over time. COVID-19 mortality at ages 45+ was the strongest contributor to the increase in ∆LE after 2019. Interpretation To reduce the socioeconomic gap in life expectancy, effective efforts are needed to prevent early deaths from CVD and cancer in deprived populations, with cancer prevention and control becoming an increasingly important field of action in this respect.
Subject(s)
COVID-19 , Neoplasms , Death , Cardiovascular DiseasesABSTRACT
Background Controlled population-based studies on long-term health sequelae of SARS-CoV-2 can help to identify clinical signs specific to Long COVID and to evaluate this emerging public health challenge. Aim To examine prevalence differences of Long COVID-associated symptoms among adults with and without SARS-CoV-2 infection in Germany. Methods This population-based, retrospective study (11/2021-2/2022) included 7,683 working aged adults (18-65 years), a subset of the Corona Monitoring Nationwide study in Germany. Prior SARS-CoV-2 infection was defined based on self-reported PCR-confirmed infections and IgG-antibody dried blood spot testing. Participants answered a questionnaire including 19 common symptoms of Long COVID experienced in the six months preceding the survey. We estimated population-weighted prevalence of (1) individual symptoms, and (2) [≥]1 symptom, with and without impact on work ability, by infection status within strata of sex, age group, income and comorbidity. We calculated model-adjusted prevalence differences and the probability that symptoms among infected are attributable to infection. Results 12 of 19 symptoms showed a significantly higher prevalence in infected than non-infected participants, including fatigue (27.5% versus 18.3%; p<0.001), concentration problems (22.2% vs. 13.1%; p<0.001), shortness of breath (15.6% vs. 7.5%; p<0.001), and smell and taste disorder (10% vs. 1.2%; p<0.001). [≥]1 symptom with impact on work ability was more prevalent following infection (16.0% vs. 12.2%; p=0.06) with a model-adjusted prevalence difference of 3.8% (95%-CI -0.5-8.0). Conclusion We observed a rather small excess prevalence attributable to SARS-CoV-2 infection. However, the absolute number of persons places great demands on the health care system and may affect economic productivity.
Subject(s)
Infections , Dyspnea , Taste Disorders , COVID-19 , FatigueABSTRACT
Background Regional labour markets and their properties are named as potential reasons for regional variations in SARS-CoV-2 infections rates, but empirical evidence is missing. Methods Using notification data on laboratory-confirmed SARS-CoV-2 infections, we calculated weekly age-standardised incidence rates (ASIRs) for working-age populations at the regional level of Germany’s 400 districts. Data covered nearly two years (March 2020 till December 2021), including four main waves of the pandemic. For each of the pandemic waves, we investigated regional differences in weekly ASIRs according to three regional labour market indicators: (1) employment rate, (2) employment by sector, and (3) capacity to work from home. We use spatial panel regression analysis, which incorporates geospatial information and accounts for regional clustering of infections. Results For all four pandemic waves under study, we found that regions with higher proportions of people in employment had higher ASIRs and a steeper increase of infections during the waves. Further, the composition of the workforce mattered: rates were higher in regions with larger secondary sectors or if opportunities of working from home were comparatively low. Associations remained consistent after adjusting for potential confounders, including a proxy measure of regional vaccination progress. Conclusions If further validated by studies using individual-level data, our study calls for increased intervention efforts to improve protective measures at the workplace, particularly among workers of the secondary sector with no opportunities to work from home. It also points to the necessity of strengthening work and employment as essential components of pandemic preparedness plans.
Subject(s)
COVID-19ABSTRACT
Pre-vaccine SARS-CoV-2 seroprevalence data from Germany are scarce outside hotspots, and socioeconomic disparities remained largely unexplored. The nationwide RKI-SOEP study with 15,122 adult participants investigated seroprevalence and testing in a supplementary wave of the Socio-Economic-Panel conducted predominantly in October-November 2020. Self-collected oral-nasal swabs were PCR-positive in 0.4% and Euroimmun anti-SARS-CoV-2-S1-IgG ELISA from dry capillary blood in 1.3% (95% CI 0.9-1.7%, population-weighted, corrected for sensitivity=0.811, specificity=0.997). Seroprevalence was 1.7% (95% CI 1.2-2.3%) when additionally adjusting for antibody decay. Overall infection prevalence including self-reports was 2.1%. We estimate 45% (95% CI 21-60%) undetected cases and analyses suggest lower detection in socioeconomically deprived districts. Prior SARS-CoV-2 testing was reported by 18% from the lower educational group compared to 25% and 26% from the medium and high educational group (p<0.0001). Symptom-triggered test frequency was similar across educational groups. However, routine testing was more common in low-educated adults, whereas travel-related testing and testing after contact with an infected person was more common in highly educated groups. In conclusion, pre-vaccine SARS-CoV-2-seroprevalence in Germany was very low. Notified cases appear to capture more than half of infections but may underestimate infections in lower socioeconomic groups. These data confirm the successful containment strategy of Germany until winter 2020.
Subject(s)
Personality DisordersABSTRACT
Background: Evidence on the relationship between socioeconomic position (SEP) and infections with the SARS-CoV-2 coronavirus is still limited as most of the available studies are ecological in nature. This is the first German nationwide study to examine differences in the risk of SARS-CoV-2 infections according to SEP at the individual level. Methods: The 'CORONA-MONITORING bundesweit' (RKI-SOEP) study is a seroepidemiological survey among a dynamic cohort of the German adult population (n=15,122; October 2020 to February 2021). Dried blood samples were tested for SARS-CoV-2 antibodies and oral-nasal swabs for viral RNA. SEP was measured by education and income. Robust logistic regression was used to examine adjusted associations of SARS-CoV-2 infections with SEP. Results: 288 participants were seropositive, PCR-positive, or self-reported a previous laboratory-confirmed SARS-CoV-2 infection. The adjusted odds of SARS-CoV-2 infection were 1.87-fold (95% confidence interval [CI]=1.06-3.29) higher among low-educated than highly educated adults. Evidence was weaker for income differences in infections (odds ratio=1.65; 95% CI=0.89-3.05). Highly educated adults had lower odds of undetected infection. Conclusions: The results indicate an increased risk of SARS-CoV-2 infection in low-educated groups. To promote health equity in the pandemic and beyond, social determinants should be addressed more in infection protection and pandemic planning.