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BackgroundThis methodological paper describes the integration of the ‘European Health Interview Survey wave 2’ (EHIS 2) into the ‘German Health Update’ 2014/2015 (GEDA 2014/2015-EHIS).MethodsGEDA 2014/2015-EHIS is a cross-sectional health survey. A two-stage stratified cluster sampling approach was used to recruit persons aged 15 years and older with permanent residence in Germany. Two different modes of data collection were used, self-administered web questionnaire and self-administered paper questionnaire. The survey instrument implemented the EHIS 2 modules on health status, health care use, health determinants and social background variables and additional national questions. Data processing was conducted according to the quality and validation rules specified by Eurostat. ResultsIn total, 24,824 questionnaires were completed. The response rate was 27.6%. The two-stage cluster sample method seems to have been successful in achieving a sample with high representativeness. The final micro data file was inspected, approved and certified by Eurostat. Access to micro data of the EHIS 2 can be provided by Eurostat via research contract and to the GEDA 2014/2015-EHIS public use file by the Research Data Centre of the Robert Koch Institute. First EHIS 2 results are available at the Eurostat website.ConclusionsIntegrating a multinational health survey into an existing national health monitoring system was a challenge in Germany. The national survey methodology for conducting the survey had to be further developed in order to meet the overarching goal of harmonizing the health information from national statistical offices and public health research institutes across the European Union. The harmonized EHIS 2 data source will profoundly impact international public health research in the near future. The next EHIS wave 3 will be conducted around 2019.

The German Health Update (GEDA) study is one component of the recently established nationwide health monitoring system administered by the Robert Koch Institute. The repeated cross-sectional GEDA surveys aim to provide current data on health and disease, health determinants and time trends in health and morbidity in the adult population in Germany. This forms the basis for planning requirements and recommendations for public health policy.Between 2008 and 2013, three GEDA waves were carried out, involving a total of 62,606 computer-assisted telephone interviews with adults in Germany, living in private household, and reachable via landline.A core set of indicators was used in all GEDA waves to gather information on subjective health and health-related quality of life, chronic diseases, injuries, impairment to health and disabilities, mental health, health behaviours, social determinants, use of health services and socio-demographic characteristics.The data from the GEDA surveys are provided for public use and epidemiological research. After submitting an application form, the data are accessible from: [http://www.rki.de/EN/Content/Health_Monitoring/Public_Use_Files/public_use_file_node.htm].

BackgroundThere is substantial evidence that lower objective socioeconomic status (SES)—as measured by education, occupation, and income—is associated with a higher risk of depression. Less is known, however, about associations between perceptions of social status and the prevalence of depression. This study investigated associations of both objective SES and subjective social status (SSS) with depressive symptoms among adults in Germany.MethodsData were obtained from the 2013 special wave of the German Health Update study, a national health survey of the adult population in Germany. Objective SES was determined using a composite index based on education, occupation, and income. The three single dimensions of the index were also used individually. SSS was measured using the MacArthur Scale, which asks respondents to place themselves on a 10-rung ‘social ladder’. Regression models were employed to examine associations of objective SES and SSS with current depressive symptoms, as assessed with the eight-item Patient Health Questionnaire depression scale (PHQ-8 sum score ≥10).ResultsAfter mutual adjustment, lower objective SES and lower SSS were independently associated with current depressive symptoms. The associations were found in both sexes and persisted after further adjustment for sociodemographic factors, long-term chronic conditions, and functional limitations. Mediation analyses revealed a significant indirect relationship between objective SES and depressive symptoms through SSS. When the three individual dimensions of objective SES were mutually adjusted, occupation and income were independently associated with depressive symptoms. After additional adjustment for SSS, these associations attenuated but remained significant.ConclusionsThe findings suggest that perceptions of low social status in adults may be involved in the pathogenesis of depression and play a mediating role in the relationship between objective SES and depressive symptoms. Prospective studies are needed to establish the direction of effects and to address questions of causality.

Since the early 2000s, evidence has been accumulating that subjective social status - a person's sense of their own position on the social ladder - affects health above and beyond objective socioeconomic status. To date, however, little is known about how these distinct health effects of subjective social status can be explained. This article narratively reviews different explanatory approaches and key methodological challenges, backed up by empirical findings and supplemented by the authors' own reflections. Both social-psychological and psychoneurobiological explanations can make a theoretically plausible contribution to explaining the subjective social status-health relationship. Experimental and panel designs appear promising for addressing important methodological challenges in this strand of research.