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Life expectancy increased in industrialized countries, but inequalities in health and mortality by socioeconomic position (SEP) still persist. Several studies have documented educational inequalities, yet the association between health and employment status remains unclear. However, this is an important issue considering the instability of the labour market and the fact that unemployment now also touches 'non-traditional groups' (e.g. the high-educated). This study will 1) probe into the association between unemployment and cause-specific mortality; 2) look into the possible protective effect of sociodemographic variables; 3) assess the association between unemployment, SEP, gender and cause-specific mortality. Individually linked data of the Belgian census (2001) and Register data on emigration and cause-specific mortality during 2001-2011 are used. The study population contains the Belgian population eligible for employment at census, based on age (25-59 years) and being in good health. Both absolute and relative measures of all-cause and cause-specific mortality by employment status have been calculated, stratified by gender and adjusted for sociodemographic and socioeconomic indicators. Unemployed men and women were at a higher risk for all-cause and cause-specific mortality compared with their employed counterparts. The excess mortality among unemployed Belgians was particularly high for endocrine and digestive diseases, mental disorders, and falls, and more pronounced among men than among women. Other indicators of SEP did only slightly decrease the mortality disadvantage of being unemployed. The findings stress the need for actions to ameliorate the health status of unemployed people, especially for the most vulnerable groups in society.

The Democratic Republic of Congo (DRC) has experienced high levels of unmet need for family planning (UNFP) for many years, alongside high fertility, maternal and infant mortality rates. Previous research addressed the UNFP in DRC, but analyses were limited to the individual-level and to specific regions. This study aims to determine the individual- and community-level factors associated with UNFP among married women of reproductive age in DRC. Using data from the 2014 DRC Demographic and Health Survey, a two-level mixed-effect logistic model examined i) the associations between UNFP and individual- and community level factors, and ii) the extent to which individual variability in UNFP is due to the variability observed at the community-level, given the individual characteristics. A total of 10,415 women in 539 clusters were included. Prevalence of unmet need for limiting was 8.13%, and 23.81% for spacing. Compared to adolescents (15–24), young (25–34) (aOR = 0.75, CI: 0.63–0.90) and middle-aged (35–49) (aOR = 0.65, CI: 0.51–0.82) women were less likely to have unmet need for family planning. The odds of having unmet need increased significantly with number of living children [1–2 children (aOR = 2.46, CI: 1.81–3.35), 7+ children (aOR = 6.46, CI: 4.28–9.73)] and among women in a female-headed household (aOR = 1.22, CI: 1.04–1.42). Women from provinces Equateur (aOR = 1.82, CI: 1.24–2.68), Nord-Kivu (aOR = 1.66, CI: 1.10–2.55) and Orientale (aOR = 1.60, CI: 1.10–2.32) were more likely to have unmet need, compared to women from Kinshasa. Women from communities with medium (aOR = 1.32, CI: 1.01–1.72) and high (aOR = 1.46, CI: 0.98–2.18) proportion of women in wealthy households, and medium (aOR = 1.32, CI: 1.01–1.72) and high (aOR = 1.46, CI: 0.98–2.18) proportion of women with low ideal family size (≤6) were more likely to have unmet need, compared to those from communities with low proportion of wealthy households and high ideal family size, respectively. Policies should consider strengthening family planning programs in provinces Equateur, Orientale, and Nord-Kivu, and in wealthier communities and communities with a higher ideal family size. Family planning programs should target adolescents and young women.

OBJECTIVES: Low-quality and precarious employment have been associated with adverse mental health and wellbeing. More evidence is needed on how the quality of employment trajectories – including transitions in and out of unemployment, inactivity, and employment of varying quality – are associated with individuals’ mental health over time. This paper aimed to derive a typology of multidimensional employment trajectories and assess associations with mental health in the UK. METHODS: Data from waves 1–9 of the UK Household Longitudinal Study were used (2009–2019). Individuals aged 30–40 at baseline were included (N=1603). Using multichannel sequence and clustering analyses, we derived a typology of employment trajectories across employment statuses and four employment quality indicators. We assessed associations with subsequent psychological distress, accounting for baseline mental health. Changes in average General Health Questionnaire scores are described. RESULTS: A typology of five trajectory clusters highlighted stable and secure and precarious/low-quality trajectories for both men and women. Women who reported being economically inactive at most waves had higher odds of experiencing psychological distress than did women in ‘standard’ trajectories, regardless of baseline mental health. Women’s scores of psychological distress in the ‘precarious’ group on average increased along their trajectories characterized by instability and transitions in/out of unemployment, before a move into employment. Men who likely moved in and out of unemployment and economic inactivity, with low probability of paid employment, reported increased psychological distress at the end of follow-up. This may partly be due to pre-existing mental ill-health. CONCLUSION: This paper shows the importance of high-quality employment for individuals’ mental health over time. Researchers need to consider dynamic associations between employment quality and mental health across the life-course.

This study investigates the association between socioeconomic position (SEP) – in terms of income and education – and mortality from neurodegenerative diseases, that is, dementia, parkinsonism, and motor neuron diseases (MNDs). We calculated age-standardized mortality rates and mortality rate ratios using log linear Poisson regression for different SEP groups, stratified by gender, age-group, and care home residency, utilizing the 2011 Belgian census linked to register data on cause-specific mortality for 2011 to 2016. Mortality was significantly higher in the lowest educational- and income groups. The largest disparities were found in dementia mortality. Income had a strong negative effect on parkinsonism mortality, education a positive effect. We found no significant association between SEP and MND. Our study provides evidence supporting the presence of socioeconomic disparities in mortality due to neurodegeneration. We found a strong negative association between SEP and NDD mortality, which varies between NDD, gender and care home residency.

Background Breast cancer is the most prevalent cancer worldwide. Belgium shows high age-standardized incidence rates, but also high survival rates. Like many health outcomes, breast cancer has been associated with multiple factors of socioeconomic status. This paper aims to (a) map educational differences in breast cancer incidence, mortality and death rates within 5 years of diagnosis, (b) update earlier trends in breast cancer mortality rates in Belgium for the 2004–2013 period and (c) investigate the role of fertility indicators as mediating factors in the association between education and breast cancer outcomes. Methods Data consisted of a linkage between the 2001 Belgian Census, register data on mortality and cancer incidence data (2004–2013) from the Belgian Cancer Registry. We calculated age standardized rates, rate ratios (Poisson regression) and hazard ratios (Cox regression) and furthermore also applied the method of Excess Portion Eliminated (EPE) in a mediation analysis of the fertility indicators. We stratified our analysis by age: younger than 50 (premenopausal) and 50 or older (postmenopausal). Results We observed striking differences in breast cancer incidence, all-cause and cause-specific death rates 5-years after diagnosis by educational level. Higher educated women had higher breast cancer incidence, but also lower all-cause and lower cause-specific death rates; adding up to zero differences in breast cancer mortality in the postmenopausal group and lower breast cancer mortality in the premenopausal group. Conclusion A notable shift in the social gradient occurred since the 1990’s, favouring higher-educated women in recent years. Especially, with regards to survival after diagnosis there is potential for policy intervention. Stage at diagnosis played a crucial role, but differences between socioeconomic groups remained significant after including this parameter. While fertility indicators played a role, the impact was less pronounced than expected.

Objectives Evidence is growing that non-standard employment is associated with adverse health. However, little is known about the relationship between different non-standard employment arrangements and subsequent all-cause and cause-specific mortality. Using population-wide data, the present study investigated this link. Methods Data was derived from the 2001 Belgian census and a 13-year-long follow-up. The analyses comprised 1 454 033 healthy and disability-free employees aged 30-59 years at baseline. Cox regressions were fitted to analyze the mortality risks of those in non-standard employment forms (temporary agency, seasonal, fixed-term, causal work and employment program) compared to permanent employees. Results Several groups of workers in non-standard employment arrangements in 2001 exhibited a higher mortality risk relative to permanent employees during the follow-up after adjusting for socio-economic and work-related factors. This was especially the case among men. The relative mortality disadvantage was particularly elevated for male temporary agency workers. External causes of death played an important role in this association. Conclusions A mortality gradient between the core and outer periphery of the Belgian labor market has been observed. This study also shows that the excess risk of death, previously attributed to non-permanent employment as a whole, hides inequalities between specific forms of non-standard work (eg, temporary agency, seasonal, fixed-term employment).

Background Living in greener areas is associated with slower cognitive decline and reduced dementia risk among older adults, but the evidence with neurodegenerative disease mortality is scarce. We studied the association between residential surrounding greenness and neurodegenerative disease mortality in older adults. Methods We used data from the 2001 Belgian census linked to mortality register data during 2001–2014. We included individuals aged 60 years or older and residing in the five largest Belgian urban areas at baseline (2001). Exposure to residential surrounding greenness was assessed using the 2006 Normalized Difference Vegetation Index (NDVI) within 500-m from residence. We considered all neurodegenerative diseases and four specific outcomes: Alzheimer’s disease, vascular dementia, unspecified dementia, and Parkinson’s disease. We fitted Cox proportional hazard models to obtain hazard ratios (HR) and 95% confidence intervals (CI) of the associations between one interquartile range (IQR) increment in surrounding greenness and neurodegenerative disease mortality outcomes, adjusted for census-based covariates. Furthermore, we evaluated the potential role of 2010 air pollution (PM 2.5 and NO 2 ) concentrations, and we explored effect modification by sociodemographic characteristics. Results From 1,134,502 individuals included at baseline, 6.1% died from neurodegenerative diseases during follow-up. After full adjustment, one IQR (0.22) increment of surrounding greenness was associated with a 4–5% reduction in premature mortality from all neurodegenerative diseases, Alzheimer’s disease, vascular and unspecified dementia [e.g., for Alzheimer’s disease mortality: HR 0.95 (95%CI: 0.93, 0.98)]. No association was found with Parkinson’s disease mortality. Main associations remained for all neurodegenerative disease mortality when accounting for air pollution, but not for the majority of specific mortality outcomes. Associations were strongest in the lower educated and residents from most deprived neighbourhoods. Conclusions Living near greener spaces may reduce the risk of neurodegenerative disease mortality among older adults, potentially independent from air pollution. Socioeconomically disadvantaged groups may experience the greatest beneficial effect.

Air pollution is a major global health threat. There is growing evidence for a negative effect of air pollution on health and well-being. Relationships between air pollution and health are mediated by health risk perceptions and play a crucial role in public response to it. Air pollution in the public’s mind is often different from air pollution defined by the scientific community. Therefore, in order to develop successful prevention and alleviation strategies, an understanding of public risk perceptions is key. The central question of this paper is: ‘How does “the public” (in Brussels) perceive air pollution?’ This research is an attempt to enrich the limited body of qualitative research in the field, approaching the topic of perception from 4 different, complementary angles: definition, association, categorisation and problematisation. About 51 interviews were conducted in the Brussels-Capital Region. Consistent with earlier research, this research illustrates that perceptions of air pollution are diverse, subjective, context-dependent and often deviate from conceptualisations and definitions in the scientific community. Respondents underestimate the potential harm and problematisation depends on comparative strategies and perceived avoidability. The novel aspect of this paper is the identification of 5 mental schemes by which specific elements are categorised as being air pollution: (1) the source of the element, (2) its health impact, (3) its climate impact, (4) its functionality and (5) sensory perceptions. The insights gained from this research contribute to the field of environmental epidemiology through a better understanding of how ‘the public’ perceives air pollution and in what way this may deviate from how it is perceived by experts. We hope to raise the awareness among experts and policy makers that air pollution perceptions are far from universal and consensual but on the contrary individual and contested.

Background This study focuses on the health impact of the labour market position, since recent research indicates that exposure to both unemployment and precarious employment causes serious harm to people’s health and well-being. An overview of general and mental health associations of different labour market positions in Belgium is provided. A distinction is made between employment and unemployment and in addition between different types of jobs among the employed, taking into account the quality of employment. Given the fact that precarious labour market positions tend to coincide with a precarious social environment, the latter is taken into consideration by including the composition and material living conditions of the household and the presence of social support. Methods Belgian data from the 1st Generations and Gender Survey are used. A Latent Class Cluster Analysis is performed to construct a typology of labour market positions that includes four different types of waged employment: standard jobs, instrumental jobs, precarious jobs and portfolio jobs, as well as self-employment and unemployment. Then, binary logistic regression analyses are performed in order to relate this typology to health, controlling for household situation and social support. Two health outcomes are included: self-perceived general health (good versus fair/bad) and self-rated mental health (good versus bad, based on 7 items from the Center for Epidemiologic Studies Depression Scale). Results Two labour market positions are consistently related to poor general and mental health in Belgium: unemployment and the precarious job type. The rather small gap in general and mental health between both labour market positions emphasises the importance of employment quality for the health and well-being of individuals in waged employment. Controlling for the household level context and social support illustrates that part of the reported health associations can be explained by the precarious social environment of individuals in unfavourable labour market positions. Conclusions The results from this study confirm that the labour market position and social environment of individuals are important health determinants in Belgium.

Background This study aims to assess which population groups experienced the heaviest mortality burden during the first three COVID-19 waves in Belgium; and investigate potential changes in social differences in all-cause mortality during the epidemic and compared to the pre-COVID period. Methods Exhaustive all-cause mortality information (2015–2021) from the Belgian population register was linked to demographic and socioeconomic census and register data. Annual cohorts consisting of 6.5 million to 6.8 million persons were created selecting persons aged 35 and older. Excess mortality was investigated comparing the 137,354 deaths observed during the first three COVID-19 waves with mortality in the reference period 2015–2019. Methods of analysis include direct standardization and Poisson regression analyses. Results Elderly men experienced the highest absolute mortality burden during all three COVID-waves, followed by elderly women, middle-aged men, and middle-aged women. Care home residents consistently experienced higher mortality rates during the first and second wave compared to peers living in other living arrangements. In wave 3, care home residents showed significant absolute mortality deficits compared to the reference period. When adjusting for all demographic and socioeconomic factors, the traditional pattern of educational and income mortality inequalities was found among the elderly population during the COVID-waves. In contrast, the educational mortality gap among middle-aged persons deepened during COVID-waves 2 and 3 with excess mortality between 19 and 30% observed among mainly lower-educated persons. Income mortality inequalities among middle-aged women and men remained stable or even diminished for some specific groups in some waves. Conclusion The widening educational mortality gap among middle-aged persons in successive waves suggest an important role of knowledge and associated educational resources during the COVID-19 epidemic. Belgium’s broad implementation of public health control and prevention measures may have successfully averted a further widening of social mortality inequality between income groups and among the elderly population.