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Background With the current study, we aim to explore the extent that migrants report higher rates of depressive symptoms than non-migrant populations in light of gender, childhood experiences, socioeconomic factors and social support across European countries that have been differentially influenced by the economic crisis. Methods Using data from the seventh round of the European Social Survey and the Greek MIGHEAL survey, we compare the prevalence of depressive symptoms among migrants and non-migrants aged 25–65 years old across 21 countries. Results Our findings show that migrants report significantly higher levels of depressive symptoms in seven of the examined countries, while in Greece and in the UK, they report significantly lower levels compared with non-migrant populations. The current climate of socioeconomic instability does not seem to necessarily associate with increased rates of depressive symptoms across countries neither it affects migrants and non-migrants in a similar way. Financial strain, childhood experiences of economic hardship and domestic conflict, female gender, as well as experiences of perceived discrimination appear to associate with increased levels of depressive symptoms among both migrant and non-migrant populations, while social trust and living with children have a protective impact. Still, much variation exists in the range of these associations between migrants and non-migrants and across countries. Conclusion These findings suggest that the impact of migration status on depressive symptoms is subject to additional determinants of mental health as well as to contextual factors. [ABSTRACT FROM AUTHOR]

Background: Monitoring obesity and overweight prevalence is important for assessing interventions aimed at preventing or reducing the burden of obesity. This study aimed to provide current data regarding the prevalence of overweight and obesity of adults, from 20 European countries. Methods: Participants were 34814 (16482 men) adults with mean age 50.8± 17.7. Data from European Social Survey round 7, 2014, were analysed. Body mass index (BMI) was calculated from self-reported height and weight. Results: The proportion of underweight was only 2%, and 44.9% for normal weight. Overweight and obese accounted for 53.1%. More men than women were overweight (44.7% vs. 30.5%). Older adults were significantly more overweight (42.4%) and obese (20.9%) than middle age and younger adults. Retired people account for a greater proportion of overweight (42.0%) and obese (21.5%), when compared with employed, unemployed and students. People from rural areas were significantly more overweight (39.1 vs. 36.1%) and obese (17.0 vs. 15.3%) than those who lived in urban areas. The estimates indicate that the highest prevalence of overweight was in Czech Republic (45.2%), Hungary (43.7%) and Lithuania (41.7%). For obesity, Slovenia (20.8%), Estonia (19.7%) and the United Kingdom (19.2%) were the countries with the highest prevalence. Conclusion: Even though data was self-reported, and individuals tend to overestimate their height and underestimate their weight, the prevalence of overweight and obesity is considered high. More than half of the European population is overweight and obese. This study strengthens and updates the claims of an excessive weight epidemic in Europe. [ABSTRACT FROM AUTHOR]

Background: Within the European Union (EU), substantial efforts are being made to achieve economic and social cohesion, and the reduction of health inequalities between EU regions is integral to this process. This paper is the first to examine how self-reported conditions and non-communicable diseases (NCDs) vary spatially between and within countries. Methods: Using 2014 European Social Survey (ESS) data from 20 countries, this paper examines how regional inequalities in self-reported conditions and NCDs vary for men and women in 174 regions (levels 1 and 2 Nomenclature of Statistical Territorial Units, 'NUTS'). We document absolute and relative inequalities across Europe in the prevalence of eight conditions: general health, overweight/obesity, mental health, heart or circulation problems, high blood pressure, back, neck, muscular or joint pain, diabetes and cancer. Results: There is considerable inequality in self-reported conditions and NCDs between the regions of Europe, with rates highest in the regions of continental Europe, some Scandinavian regions and parts of the UK and lowest around regions bordering the Alps, in Ireland and France. However, for mental health and cancer, rates are highest in regions of Eastern European and lowest in some Nordic regions, Ireland and isolated regions in continental Europe. There are also widespread and consistent absolute and relative regional inequalities in all conditions within countries. These are largest in France, Germany and the UK, and smallest in Denmark, Sweden and Norway. There were higher inequalities amongst women. Conclusion: Using newly available harmonized morbidity data from across Europe, this paper shows that there are considerable regional inequalities within and between European countries in the distribution of self-reported conditions and NCDs. [ABSTRACT FROM AUTHOR]

Background: The increasing concentration of populations into large conurbations in recent decades has not been matched by international health assessments, which remain largely focused at the country level. We aimed to demonstrate the use of routine survey data to compare the health of large metropolitan centres across Europe and determine the extent to which differences are due to socio-economic factors. Methods: Multilevel modelling of health survey data on 126 853 individuals from 33 metropolitan areas in the UK, Republic of Ireland, Sweden, Norway, Finland, Spain, Belgium and Germany compared general health, longstanding illness, acute sickness, psychological distress and obesity with the average for all areas, accounting for education and social class. Results: We found some areas (Greater Glasgow; Greater Manchester, Cheshire and Merseyside; Northumberland, Tyne and Wear and South Yorkshire) had significantly higher levels of poor health. Other areas (West Flanders and Antwerp) had better than average health. Differences in individual socio-economic circumstances did not explain findings. With a few exceptions, acute sickness levels did not vary. Conclusion: Health tended to be worse in metropolitan areas in the north and west of the UK and the central belt and south east of Germany, and more favourable in Sweden and north west Belgium, even accounting for socio-economic composition of local populations. This study demonstrated that combining national health survey data covering different areas is viable but not without technical difficulties. Future comparisons between European regions should be made using standardized sampling, recruitment and data collection protocols, allowing proper monitoring of health inequalities. [ABSTRACT FROM PUBLISHER]