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Background: Nature and extent of welfare regimes and social policies are important determinants of health and health inequalities. This study examines the association of gender and mental wellbeing in European countries and investigates whether type of welfare regime plays a role in this association., Method: Data of 19 366 women and 14 338 men of the third round of the European Quality of Life Survey (2011-12) was used to analyse mental wellbeing, assessed by the World Health Organization 5-Mental Wellbeing Index. Multilevel logistic regression analyses were performed to analyse the association between gender and good mental wellbeing first at country-level, and secondly the between country variation was analysed and welfare regimes were included as explanatory variables., Results: We observed cross-national variation in good mental wellbeing. At country levels gender inequalities in good mental wellbeing were observed in 7 out of 26 countries. In analyses considering all countries together gender inequalities in good mental wellbeing were identified independent of further individual socio-demographic variables and independent of the welfare regimes that people lived in [women vs. men: OR = 0.76; (95% CI = 0.71-0.81)]. Gender inequalities in good mental wellbeing were not modified by welfare regimes., Conclusion: There are cross-national differences in good mental wellbeing between European countries. Gender inequalities with a lower prevalence of good mental wellbeing among women are common in European countries. This study suggests that welfare regimes do not modify these gender inequalities in mental wellbeing., (© The Author 2016. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.)

Background: Environmental noise is considered a threat to public health as 20% of the EU population is exposed to health influencing noise levels. An association of noise and mental health problems in children has been suggested by some studies, but results are not consistent and there are no longitudinal studies of this association. Our aim was to investigate the influence of different environmental noise sources at children's homes on incident mental health problems in school-aged children., Method: A cohort study of children from first (t0) to fourth grade (t1) of primary school was conducted. Different environmental noise sources (day/night separately) at children's home were assessed via parental annoyance reports. Increased noise exposure between t0 and t1 was the exposure variable. Incident mental health problems were assessed with the parental version of the Strengths and Difficulties Questionnaire (SDQ). RRs and 95% CIs were analysed to investigate the association between different noise sources and incident mental health problems., Results: The study population consisted of 583 boys and 602 girls. The most common increase in noise exposure between t0 and t1 was road traffic noise day (26.38%). After adjusting for covariates exposure to road traffic night was significantly associated with the total difficulties score (RR=2.06; 95% CI=1.25-3.40), emotional symptoms (RR=1.69, 95% CI=1.04-2.72), and conduct problems (RR=1.57, 95% CI=1.04-2.38). Noise by neighbours during the day was associated with conduct problems (RR=1.62, 95% CI=1.11-2.40) and hyperactivity (RR=1.69, 95% CI=1.08-2.65). Aircraft noise day and construction work day were not associated with any of the SDQ categories at a significant level., Conclusion: Environmental noise is an important public health problem. This is the first study to investigate the association of a broad range of noise sources and incident mental health problems in children in a cohort study. Our results suggest that exposure to noise at children's home is associated with mental health problems such as emotional symptoms, conduct problems and hyperactivity., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Objectives: To investigate the association between psychosocial, sociodemographic and material determinants of positive mental health in Europe., Design: Cross-sectional analysis of survey data., Setting: 34 European countries., Participants: Representative Europe-wide sample consisting of 21 066 men and 22 569 women aged 18 years and over, from 34 European countries participating in the third wave of the European Quality of Life Survey (2011-2012)., Outcome: Positive mental health as measured by the WHO-5-Mental Well-being Index, while the lowest 25% centile indicated poor positive mental health., Results: The prevalence of poor positive mental health was 30% in women and 24% in men. Material, as well as psychosocial, and sociodemographic factors were independently associated with poor positive mental health in a Europe-wide sample from 34 European countries. When studying all factors together, the highest OR for poor positive mental health was reported for social exclusion (men: OR=1.73, 95% CI 1.59 to 1.90; women: OR=1.69, 95% CI 1.57 to 1.81) among the psychosocial factors. Among the material factors, material deprivation had the highest impact (men: OR=1.96, 95% CI 1.78 to 2.15; women: OR=1.93, 95% CI 1.79 to 2.08)., Conclusions: This study gives the first overview on determinants of positive mental health at a European level and could be used as the basis for preventive policies in the field of positive mental health in Europe., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)