This essay brings together intersectionality and institutional approaches to health inequalities, suggesting an integrative analytical framework that accounts for the complexity of the intertwined influence of both individual social positioning and institutional stratification on health. This essay therefore advances the emerging scholarship on the relevance of intersectionality to health inequalities research. We argue that intersectionality provides a strong analytical tool for an integrated understanding of health inequalities beyond the purely socioeconomic by addressing the multiple layers of privilege and disadvantage, including race, migration and ethnicity, gender and sexuality. We further demonstrate how integrating intersectionality with institutional approaches allows for the study of institutions as heterogeneous entities that impact on the production of social privilege and disadvantage beyond just socioeconomic (re)distribution. This leads to an understanding of the interaction of the macro and the micro facets of the politics of health. Finally, we set out a research agenda considering the interplay/intersections between individuals and institutions and involving a series of methodological implications for research - arguing that quantitative designs can incorporate an intersectional institutional approach.

The Covid-19 pandemic has exposed health workers to a diverse set of hazards impacting their physical, psychological and social wellbeing. This review aims to provide an overview of the categories of the psychosocial risk factors and hazards affecting HCWs during the Covid-19 pandemic and the recommendations for prevention. We used the scoping review methodology to collate categories of psychosocial risks, the related health outcomes, interventions, and data gaps. The review was conducted on global peer-reviewed academic and authoritative grey literature, published between 1. January–26. October 2020; in total, 220 articles were included into the review and the subsequent analysis. Analysis of the extracted data found PSRs related to four sources: personal protective equipment (PPE), job content, work organisation, and social context. is. Women health workers and nurses reported worst health outcomes. Majority of the research to date concerns health workers in secondary care, while data on psychosocial risks at primary and community-based settings are scarce. However, the emerging research implies that the pandemic creates psychosocial risks also to non-clinical health workers. The intervention and mitigation measures address individual and organisational levels. Preventative and mitigating measures for social and societal risks—such as staff shortages, intersecting inequalities, and financial stressors require further research.

Our results yield a complex picture: the lowest educational groups are more likely to smoke and less likely to engage in physical activity and to eat fruit and vegetables, but the highest educational groups are at greater risk of frequent alcohol consumption. Additionally, inequalities in risky health behaviour do not appear to be systematically weakest in the South or strongest in the North and West of Europe.

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IntroductionGender inequality has been associated with child mortality; however, sex-specific mortalities have yet to be explored. The aim of this study is to assess the associations between gender inequality and the child mortality sex ratio at country level, worldwide and to infer on possible mechanisms.MethodsData on sex-specific under-five mortality rates (U5MR) and the corresponding sex ratio (U5MSR) for the year 2015, by country, were retrieved from the Unicef database. Excess under-five female mortality was derived from previous published work. Gender inequality was measured using the Gender Inequality Index (GII). Additional biological and social variables have been included to explore potential mechanistic pathways.ResultsA total of 195 countries were included in the analysis. In adjusted models, GII was significantly negatively associated with the U5MSR (β=−0.29 (95% CI −0.42 to –0.16), p<0.001) and borderline significantly positively associated with excess under-five female mortality (β = 3.25 (95% CI −0.28 to 6.67, p=0.071). The association between GII and U5MSR was strong and statistically significant only in low-income and middle-income countries and in the Western Pacific area.ConclusionThe more gender unequal a society is, the more girls are penalised in terms of their survival chances, in particular in low-income and middle-income countries. In order to decrease child mortality and excess girl mortality, global policy should focus on reducing gender inequality surrounding measures of reproductive health, women’s political empowerment, educational attainment and participation in the workforce.