Education and pandemic SARS-CoV-2 infections in the German working population - the mediating role of working from home.

OBJECTIVES: SARS-CoV-2 infections were unequally distributed during the pandemic, with those in disadvantaged socioeconomic positions being at higher risk. Little is known about the underlying mechanism of this association. This study assessed to what extent educational differences in SARS-CoV-2 infections were mediated by working from home. METHODS: We used data of the German working population derived from the seroepidemiological study "Corona Monitoring Nationwide - Wave 2 (RKI-SOEP-2)" (N=6826). Infections were assessed by seropositivity against SARS-CoV-2 antigens and self-reports of previous PCR-confirmed infections from the beginning of the pandemic until study participation (November 2021 - February 2022). The frequency of working from home was assessed between May 2021 and January 2022.We used the Karlson-Holm-Breen (KHB) method to decompose the effect of education on SARS-CoV-2 infections. RESULTS: Individuals with lower educational attainment had a higher risk for SARS-CoV-2 infection (adjusted prevalence ratio of low versus very high = 1.76, 95% confidence interval 1.08-2.88; P=0.023). Depending on the level of education, between 27% (high education) and 58% (low education) of the differences in infection were mediated by the frequency of working from home. CONCLUSIONS: Working from home could prevent SARS-CoV-2 infections and contribute to the explanation of socioeconomic inequalities in infection risks. Wherever possible, additional capacities to work remotely, particularly for occupations that require lower educational attainment, should be considered as an important measure of pandemic preparedness. Limitations of this study are the observational cross-sectional design and that the temporal order between infection and working from home remained unclear.

The Influence of Education and Occupation Type on Birth Cohort Differences in Cognitive Function of Mexican Older Adults.

OBJECTIVES: Mexico's population aging is occurring in the context of social changes such as increased educational attainment and occupational shifts from agriculture to service and industry. The current study compares cognitive function between two birth cohorts of Mexican adults aged 60-76 to determine if population-level changes in education and occupation type contribute to cohort differences in cognitive function. METHODS: We used the Mexican Health and Aging Study to examine adults aged 60-76 in 2001 (men: 2,309; women: 2,761) and 2018 (men: 2,842; women: 3,825). Global cognition was calculated from five measures. Five main lifetime occupation types were created: no main job; agriculture; service; professional; and industrial. Ordinary least squares regression and structural equation models (SEM) were used to examine cohort differences in cognitive functioning. RESULTS: Ordinary least squares models that adjusted for age, community size, and marital status indicated that men and women had higher global cognition in 2018 than 2001 (men: b = 0.44, p < .01; women: b = 0.54, p < .01). These differences were reduced after adjusting for education and occupation type (men: b = 0.27, p < .01; women: b = 0.37, p < .01). Results from SEM indicated that the indirect effects of education on cognitive functioning were larger than occupation type for men (education: b = 0.18, p < .05; occupation: b = 0.001, p = .91) and women (education: b = 0.18, p < .05; occupation: b = 0.002, p = .22). DISCUSSION: Cognitive functioning is higher among more recent birth cohorts of older adults in Mexico. These cohort differences are partially mediated by education but not main lifetime occupation. Additional factors may contribute to cohort differences in cognitive function for older adults in Mexico.

[Occupational differences of COVID-19 morbidity and mortality in Germany. An analysis of health insurance data from 3.17 million insured persons]. / Berufsbedingte Unterschiede bei COVID-19-Morbidität und -Mortalität in Deutschland. Eine Analyse von Krankenkassendaten von 3,17 Mio. Versicherten.

INTRODUCTION: During the COVID-19 pandemic, occupation was assumed to play a central role in the occurrence of infection and disease. For Germany, however, there are only a few studies that analyse occupational differences in risk of COVID-19, COVID-19-associated hospitalisation, and mortality. METHODS: The study uses longitudinal health insurance data from the research database of the Institute for Applied Health Research (InGef) with information on 3.17 million insured persons aged 18-67 years (1,488,452 women; 1,684,705 men). Outcomes (morbidity, hospitalisation, and mortality) were determined on the basis of submitted COVID-19 diagnoses between 1 January 2020 and 31 December 2021. Occupations were classified according to four groupings of the official German classification of occupations. In addition to cumulative incidences, relative risks (RR) were calculated - separately for men and women. RESULTS: There is an increased risk of disease in personal service occupations, especially in health care, compared to other occupations (RR for women 1.46; for men 1.30). The same applies to social and cultural service occupations (but only for women) and for manufacturing occupations (only for men). In addition, the risks for hospitalisation and mortality are increased for cleaning occupations and transport and logistics occupations (especially for men). For all three outcomes, the risks are higher in non-managerial occupations and differ by skill level (highest for unskilled jobs and lowest for expert positions). CONCLUSION: The study provides important findings on work- and gender-related differences in COVID-19 morbidity and mortality in Germany, which indicate starting points for structural infection protection measures.

Life history data from the gateway to global ageing data platform: resources for studying life courses across Europe.

Research from a range of disciplines highlights the need to adopt a life course perspective that considers earlier life courses to explain outcomes in later life (e.g. later life health, cognitive ageing or retirement behaviour). This includes a more comprehensive assessment of earlier life courses over time and of how they are shaped by societal and political contexts. But quantitative data with detailed information on life courses that allow to address these questions are rare. Or, in case the data are available, the data are rather difficult to handle and appears to be underused. This contribution introduces the harmonized life history data from the gateway to global ageing data platform from two European Surveys, SHARE and ELSA, with data from 30 European countries. Besides providing some details on the collection of life history data in the two surveys, we also describe the way how raw data were rearranged in a user-friendly state sequence format and additionally give some examples based on the resulting data. This illustrates the potential of collected life history data from SHARE and ELSA, clearly going beyond the description of single aspects of the life course. By providing harmonized data of two prominent studies on ageing in Europe in a user-friendly format, the gateway to global ageing data platform provides a unique data source that is easily accessible for research, and permits to study life course and their links to later life in a cross-national perspective.

Social inequalities, stressful work and non-fatal cardiovascular disease: follow-up findings from the CONSTANCES Study.

BACKGROUND: Studies show that a disadvantaged socioeconomic position (SEP) and psychosocial stress at work are both independently associated with an increased risk of cardiovascular disease (CVD). But it is not clear if the effect of stress at work on CVD varies by SEP. METHODS: We used baseline and follow-up data from the French population-based cohort study CONSTANCES, including 48 383 employed women and men aged 30-70 years. Three SEP indicators (education, income, occupation), stressful psychosocial work as measured by effort-reward imbalance, pre-existing CVD and confounders were assessed at baseline, and incident non-fatal CVD events reported during annual follow-up (up to five follow-ups) were used as outcomes. The effect modification hypothesis was both investigated on an additive and multiplicative scale. RESULTS: SEP was inversely associated with CVD risk (eg, for low vs high income, OR 1.28 (95% CI 1.12 to 1.46)), and for all three components of stressful work CVD risks were significantly increased (eg, for effort-reward ratio OR 1.26 (95% CI 1.17 to 1.36)). Employees with a disadvantaged SEP showed moderately increased effect sizes of stressful work on CVD. However, no clear evidence of an effect modification was found. CONCLUSIONS: Disadvantaged SEP and stressful work contribute to higher CVD risk in this cohort. Despite moderately increased effect sizes for disadvantaged SEP groups, no evidence was found to support an effect modification hypothesis.

Association of Household Deprivation, Comorbidities, and COVID-19 Hospitalization in Children in Germany, January 2020 to July 2021.

Importance: Adults in disadvantaged socioeconomic positions have elevated risks of a severe course of COVID-19, but it is unclear whether this holds true for children. Objective: To investigate whether young people from disadvantaged households have a higher risk of COVID-19 hospitalization and whether differences were associated with comorbidities that predispose children to severe courses. Design, Setting, and Participants: This population-based cohort study included all children and adolescents (aged 0-18 years) who were enrolled in a statutory health insurance carrier in Germany during the observation period of January 1, 2020, to July 13, 2021. Logistic regressions were calculated to compare children from households with and without an indication of poverty. Age, sex, days under observation, nationality, and comorbidities (eg, obesity, diabetes) were controlled for to account for explanatory factors. Exposures: Disadvantage on the household level was assessed by the employment status of the insurance holder (ie, employed, long- or short-term unemployed, low-wage employment, economically inactive). Socioeconomic characteristics of the area of residence were also assessed. Main Outcomes and Measures: Daily hospital diagnoses of COVID-19 (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes U07.1 and U07.2) were recorded. Comorbidities were assessed using inpatient and outpatient diagnoses contained in the insurance records. Results: A total of 688 075 children and adolescents were included, with a mean (SD) age of 8.3 (5.8) years and 333 489 (48.4%) female participants. COVID-19 hospital diagnosis was a rare event (1637 participants [0.2%]). Children whose parents were long-term unemployed were 1.36 (95% CI, 1.22-1.51) times more likely than those with employed parents to be hospitalized. Elevated odds were also found for children whose parents had low-wage employment (odds ratio, 1.29; 95% CI, 1.05-1.58). Those living in low-income areas had 3.02 (95% CI, 1.73-5.28) times higher odds of hospitalization than those in less deprived areas. Comorbidities were associated with hospitalization, but their adjustment did not change main estimates for deprivation. Conclusions and Relevance: In this cohort study, children who had parents who were unemployed and those who lived in low-income areas were at higher risk of COVID-19 hospitalization. This finding suggests that attention must be paid to children with SARS-CoV-2 from vulnerable families and closer monitoring should be considered. A number of explanatory factors, including comorbidities, were taken into account, but their analysis yielded no clear picture about underlying processes.

Temporal Dynamics of Socioeconomic Inequalities in COVID-19 Outcomes Over the Course of the Pandemic-A Scoping Review.

Objectives: International evidence of socioeconomic inequalities in COVID-19 outcomes is extensive and growing, but less is known about the temporal dynamics of these inequalities over the course of the pandemic. Methods: We systematically searched the Embase and Scopus databases. Additionally, several relevant journals and the reference lists of all included articles were hand-searched. This study follows the PRISMA guidelines for scoping reviews. Results: Forty-six studies were included. Of all analyses, 91.4% showed stable or increasing socioeconomic inequalities in COVID-19 outcomes over the course of the pandemic, with socioeconomically disadvantaged populations being most affected. Furthermore, the study results showed temporal dynamics in socioeconomic inequalities in COVID-19, frequently initiated through higher COVID-19 incidence and mortality rates in better-off populations and subsequent crossover dynamics to higher rates in socioeconomically disadvantaged populations (41.9% of all analyses). Conclusion: The identified temporal dynamics of socioeconomic inequalities in COVID-19 outcomes have relevant public health implications. Socioeconomic inequalities should be monitored over time to enable the adaption of prevention and interventions according to the social particularities of specific pandemic phases.

Regional disparities in SARS-CoV-2 infections by labour market indicators: a spatial panel analysis using nationwide German data on notified infections.

BACKGROUND: Regional labour markets and their properties are named as potential reasons for regional variations in levels of SARS-CoV-2 infections rates, but empirical evidence is missing. METHODS: Using nationwide data on notified 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 2 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.

Long-term trends in psychosocial working conditions in Europe-the role of labor market policies.

BACKGROUND: Employees have witnessed rising trend in work stress over the last few decades. However, we know a little about country differences in those trends. Our article fills this gap in the literature by examining heterogeneities in trends in working conditions by country groups defined by their amount of investment into labor market policy (LMP) programs. Additionally, we provide findings on differences in occupational inequalities between country groups. METHODS: We use comparative longitudinal data of the European Working Conditions Surveys including cross-sectional information on employees from 15 countries surveyed in Waves 1995, 2000, 2005, 2010 and 2015. Estimation results are provided by three-way multilevel models with employees nested within country-years nested within countries. Our work stress measure is the proxy version of job strain based on the demand-control model. RESULTS: Our regression results indicate that for employees in countries with the least LMP spending job strain increased by 10% from 1995 to 2015 compared to a smaller and insignificant change in middle- and high-LMP countries. In low-LMP countries, inequalities in job strain also widened during the studied period: the gap in job strain between the highest- and lowest-skilled increased by 60% from 1995 to 2015. This contrasts a stable gap in middle- and high-LMP countries. CONCLUSIONS: Our results direct the attention to the vulnerable position of the least skilled and highlight that LMP investments may buffer some of the adverse impacts of globalization and technological changes and effectively improve the labor market situation of the least skilled.

[Does Vocational Reintegration After Medical Rehabilitation Differ in Terms of Social Status and Type of Rehabilitative Care?] / Unterscheidet sich die berufliche Wiedereingliederung nach medizinscher Rehabilitation bezüglich Sozialstatus und Art der rehabilitativen Versorgung?

BACKGROUND: Employees in a low socio-economic position (SEP) are more likely to leave the labour market after medical rehabilitation for health reasons than those in a better social position. So far, almost nothing is known about whether certain types of rehabilitative care can reduce this inequality in rehabilitation success. This paper examines whether certain types of care modify the SEP's influence on return-to-work (RTW). METHOD: The study is based on administrative data from the German statutory pension insurance on 266,413 medical rehabilitations of 253,311 persons fully integrated into working life. Poisson regression analyses were used to check whether there was a correlation between SEP (income, education, occupational position) and the probability of RTW in the year following the measure, and whether this correlation was lower in follow-up treatment (AHB), inpatient treatment or treatment with subsequent graded RTW compared to rehabilitation that did not meet these characteristics. RESULTS: People with a low income, education or occupational position were at increased risk of incomplete return to work after medical rehabilitation. This correlation was comparatively lower for all 3 SEP indicators when the return to work was gradual. In the case of AHB and inpatient rehabilitation, this only applied to income. CONCLUSION: Socio-economically disadvantaged population groups are comparatively more likely not to return fully to work after medical rehabilitation. These inequalities are less pronounced for certain types of rehabilitative care. This tends to be the case with an active structuring role of the care system. However, there is a need for further research on the modification of effects by the type of treatment. This should be further investigated using data collected for this purpose to exclude selection effects.

Adverse employment histories and allostatic load: associations over the working life.

BACKGROUND: Most studies on the health impact of occupational stress use single-point measures of stress at work. This study analyses the associations of properties of entire employment trajectories over an extended time period with a composite score of allostatic load (AL). METHODS: Data come from the French CONSTANCES cohort, with information on adverse employment histories between ages 25 and 45 and a composite score of AL (based on 10 biomarkers, range 0-10) among people aged 45 or older (47 680 women and 45 035 men). Data were collected by questionnaires (including retrospective employment histories) or by health examinations (including blood-based biomarkers). We distinguish six career characteristics: number of temporary jobs, number of job changes, number of unemployment periods, years out of work, mode occupational position and lack of job promotion. RESULTS: For both men and women, results of negative binomial regressions indicate that adverse employment histories are related to higher levels of AL, particularly histories that are characterised by a continued disadvantaged occupational position, repeated periods of unemployment or years out of work. Findings are adjusted for partnership, age and education, and respondents with a health-related career interruption or early retirement are excluded. CONCLUSIONS: Our study highlights physiological responses as a mechanism through which chronic stress during working life is linked to poor health and calls for intervention efforts among more disadvantaged groups at early stages of labour market participation.

Emerging socio-economic disparities in COVID-19-related deaths during the second pandemic wave in Germany.

Over the course of the second pandemic wave in late 2020, new infections with severe acute respiratory syndrome coronavirus-2 shifted from the most affluent to the most deprived regions of Germany. This study investigated how this trend in infections played out for deaths due to coronavirus disease 2019 (COVID-19) by examining area-level socio-economic disparities in COVID-19-related mortality during the second pandemic wave in Germany. The analysis was based on nationwide data on notified deaths, which were linked to an area-based index of socio-economic deprivation. In the autumn and winter of 2020/2021, COVID-19-related deaths increased faster among residents in Germany's more deprived districts. From late 2020 onwards, the mortality risks of men and women in the most deprived districts were 1.52 (95% confidence interval [CI] 1.27-1.82] and 1.44 (95% CI 1.19-1.73) times higher than among those in the most affluent districts, respectively, after adjustment for age, urbanization and population density. To promote health equity in the pandemic and beyond, deprived populations should receive increased attention in pandemic planning, infection control and disease prevention.

Adverse employment histories, work stress and self-reported depression in the French CONSTANCES study.

BACKGROUND: Job instability and disadvantaged work were shown to be associated with poor mental health, but few studies analyzed these conditions in a life course perspective. In this study, adverse employment histories are retrospectively assessed and linked to self-reported depression. Furthermore, indirect effects of later stressful psychosocial work in terms of effort-reward imbalance are investigated. METHODS: With data from the French CONSTANCES cohort study of 13 716 male and 12 767 female employees aged 45 and older, we identify adverse employment histories between age 25 and 45, focussing on job discontinuity, job instability and cumulative disadvantage. Direct effects of these conditions on self-reported depression over a period of up to 5 years are analyzed, using discrete-time logistic regression. Indirect effects of stressful work at baseline are examined. RESULTS: Moderately elevated odds ratios of self-reported depression are observed among participants with discontinued employment histories (number of unemployment periods; years out of work for men). Effort-reward imbalance at work is consistently related to elevated risk of self-reported depression and explains parts of the association between discontinuous employment and depression. CONCLUSIONS: Applying a life course perspective to occupational health research extends current knowledge. Specifically, adverse employment histories in terms of recurrent job discontinuity are related to the risk of self-reported depression. This association is partly explained by exposure to a stressful psychosocial work environment. These results can instruct labour market policies and the development of targeted worksite interventions that address disadvantage throughout entire employment trajectories.

[Social inequalities in the regional spread of SARS-CoV-2 infections]. / Soziale Ungleichheit in der regionalen Ausbreitung von SARS-CoV-2.

BACKGROUND AND OBJECTIVE: It has not been adequately answered whether the spread of SARS-CoV­2 is influenced by social and economic factors. Earlier studies generally looked at cumulative incidences up to the analysis date and did not take into account the development of the spread over time. This study therefore focuses on the regional dynamic of new infections and their relationship to socioeconomic factors. Based on the literature we describe the state of knowledge and present our own analyses of administrative data from Germany. METHODS: For this study, we examined regional progress data of reported COVID-19 cases for 401 cities and counties in Germany and associated them with socioeconomic characteristics of the areas. Age-standardized weekly incidence rates were calculated for the period from 3 February 2020 to 28 March 2021. Macroindicators were added from the INKAR database (e.g., income, employment rate, and crowding). RESULTS: While areas with higher incomes and lower poverty had higher incidences in the first and at the beginning of the second wave of the pandemic, they increased significantly in low-income regions from December 2020 on. Regions with a high proportion of gainfully employed people in general and especially those in the manufacturing sector had high incidences, especially in the second wave and at the beginning of the third wave. A low mean living space per inhabitant was related to higher incidence rates since November 2020. CONCLUSION: The regional temporal course of the pandemic correlates with social and economic indicators. A differentiated consideration of these differences could provide information on target group-specific protection and test strategies and help to identify social factors that generally favor infections. An English full-text version of this article is available at SpringerLink as Supplementary Information.

[Higher risk of COVID-19 hospitalization for unemployed: an analysis of health insurance data from 1.28 million insured individuals in Germany]. / Erhöhtes Risiko eines COVID-19-bedingten Krankenhausaufenthaltes für Arbeitslose: Eine Analyse von Krankenkassendaten von 1,28 Mio. Versicherten in Deutschland.

BACKGROUND AND OBJECTIVE: Unemployment is related to poverty and is a risk factor for poor health. The present study investigates if unemployment increases the risk of COVID-19 hospitalization for men and women of working age in Germany. METHODS: The study uses the health insurance data from AOK Rhineland/Hamburg (from 1 January 2020 until 18 June 2020) of 1,288,745 persons aged between 18 and 65. Four employment situations are distinguished: (1) regular employment, (2) low-wage employment with social support, (3) unemployment with receipt of unemployment benefit 1, and (4) long-term unemployment with receipt of unemployment benefit 2. COVID-19 hospitalizations are measured on the basis of the ICD codes U07.1 and U07.2 reported by the hospitals. Multiple logistic regression models are calculated (adjusted for age and sex). RESULTS: During the observation period, 1521 persons had hospitalization with COVID-19 as primary or secondary diagnosis. Overall, this corresponds to a rate of 118 cases per 100,000 insured persons. Rates varied by employment situation. Compared with regularly employed persons, the odds ratio for a hospitalization was 1.94 (CI 95%: 1.74-2.15) for long-term unemployment, 1.29 (0.86-1.94) for unemployed, and 1.33 (0.98-1.82) for low-wage employment. CONCLUSION: The results are in line with earlier studies from the USA and Great Britain reporting socioeconomic inequalities in COVID-19 hospitalization risk. This provides the first empirical support that socioeconomic inequalities in the severity of COVID-19 also exists in Germany.

The role of pension contributions in explaining inequalities in depressive symptoms. Results from SHARE.

Aims: Research has established solid evidence that socioeconomic position impacts health. It is, however, still debated to what extent characteristics of entire employment histories are associated with health inequalities later on. This study investigates associations between contributing to pension schemes throughout entire employment histories and depressive symptoms in older men and women. Methods: We use retrospective life history data from the Survey of Health, Ageing and Retirement in Europe (SHARE), collected in 2008-2009 from retired men and women. Data include detailed information on previous employment histories (between age 25 and 60 years) that allows us to measure labour market involvements and pension contributions during past working lives. In addition, we measure elevated depressive symptoms using EURO-D. Results: We observe that employed work without contributing to pension schemes is associated with elevated depressive symptoms for women, even when taking the current household income into consideration. For men (but not for women), self-employed work without pension contributions is linked to elevated depressive symptoms. Conclusions: Our results indicate that studies linking previous employment participation to health after labour market exit should not only consider whether a person worked, but also whether he or she contributed to a pension scheme. In addition, our study points to interesting gender differences, where pension contributions matter most for women in employed work and for men in self-employed work.

Adverse Employment Histories, Later Health Functioning and National Labor Market Policies: European Findings Based on Life-History Data From SHARE and ELSA.

OBJECTIVES: We investigate associations between adverse employment histories over an extended time period and health functioning in later life, and explore whether national labor market policies moderate the association. METHODS: We use harmonized life-history data from the Gateway to Global Aging Data on two European studies (SHARE and ELSA) linked to health beyond age 50 (men = 11,621; women = 10,999). Adverse employment histories consist of precarious, discontinued, and disadvantaged careers between age 25 and 50, and we use depressive symptoms, grip strength, and verbal memory as outcomes. RESULTS: Adverse employment histories between age 25 and 50 are associated with poor health functioning later in life, particularly repeated periods of unemployment, involuntary job losses, weak labor market ties, and disadvantaged occupational positions. Associations remain consistent after adjusting for age, partnership history, education and employment situation, and after excluding those with poor health prior to or during working life. We find no variations of the associations by national labor market policies. DISCUSSION: Our study calls for increased intervention efforts to improve working conditions at early career stages. Despite the importance in shaping employment histories, the role of national policies in modifying the impact of employment on health is less clear.