Background: Generalized interpersonal trust (as an indicator of social capital) has been linked to health status at both the individual and ecological level. We sought to examine how changes in contextual and individual trust are associated with changes in self-rated health in the European Social Surveys 2002–12. Methods: A multilevel analysis using a variance components model was performed on 203 452 individuals nested within 145 country cohorts covering 35 countries. Conditional on sociodemographic covariates, we sought to examine the association between self-rated health and individual trust, country average trust and a cross-level interaction between the two. Results: Although individual trust perceptions were significantly correlated with self-rated health [OR = 0.95, 95% confidence interval (0.94–0.96)], country-level trust was not associated [OR = 1.12, 95% confidence interval (0.95–1.32)]. There was, however, a strong crosslevel interaction between contextual and individual trust ( P < 0.001), such that individuals with high interpersonal trust reported better health in contexts in which other individuals expressed high average interpersonal trust. Conversely, low trust individuals reported worse health in high trust contexts. Conclusion: Our findings suggest that contexts with increasing average trust can be harmful for low trust individuals, which might reflect the negative impact that social capital can have in certain groups. These findings suggest that contextual trust has a complex role in explaining health inequalities and individual self-rated health.

Health inequalities are recognised as a public health issue worldwide, but only a few countries have developed national strategies to monitor and reduce them. Despite its considerable health inequalities, Portugal seems to lack a systematic strategy to tackle them, possibly due to the absence of organised evidence on the issue. We performed a systematic review that aimed to describe the available evidence on social inequalities in health in Portugal, in order to contribute towards a comprehensive and focused strategy to tackle them. We followed the PRISMA guidelines and searched Scopus, Web of Science and PubMed for studies that looked at the association between a measure of socioeconomic status and a health outcome in the Portuguese resident population since the year 2000. We excluded health behaviours and healthcare use from our search. We performed a qualitative description of the results. Seventy-one publications were selected, all reporting observational analyses, most of them using cross-sectional data. These publications showed strong evidence for health inequalities related to education and gender, chiefly for obesity, self-rated health and mental health. Analysis of the eligible publications showed that current research does not seem to have consistently covered the link between health and key Portuguese social problems. A strategy focusing on the monitoring of most prevalent diseases, most determining socioeconomic factors and vulnerable populations would be crucial to guide academic research in a country in which health inequalities are so ubiquitous and deeply rooted. This systematic review is not registered.

Background: In 2017, 15.6% of the people living in England were born abroad, yet we have a limited understanding of their use of health services and subsequent health conditions. This linked population-based cohort study aims to describe the hospital-based healthcare and mortality outcomes of 1.5 million non-European Union (EU) migrants and refugees in England. Methods and analysis: We will link four data sources: first, non-EU migrant tuberculosis pre-entry screening data; second, refugee pre-entry health assessment data; third, national hospital episode statistics; and fourth, Office of National Statistics death records. Using this linked dataset, we will then generate a population-based cohort to examine hospital-based events and mortality outcomes in England between Jan 1, 2006, and Dec 31, 2017. We will compare outcomes across three groups in our analyses: 1) non-EU international migrants, 2) refugees, and 3) general population of England. Ethics and dissemination: We will obtain approval to use unconsented patient identifiable data from the Secretary of State for Health through the Confidentiality Advisory Group and the National Health Service Research Ethics Committee. After data linkage, we will destroy identifying data and undertake all analyses using the pseudonymised dataset. The results will provide policy makers and civil society with detailed information about the health needs of non-EU international migrants and refugees in England.