A Transcriptomic Biomarker Predicting Linezolid-Associated Neuropathy During Treatment of Drug-Resistant Tuberculosis.

Background: Neuropathic adverse events occur frequently in linezolid-containing regimens, some of which remain irreversible after drug discontinuation. Objective: We aimed to identify and validate a host RNA-based biomarker that can predict linezolid-associated neuropathy before multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB) treatment initiation and to identify genes and pathways that are associated with linezolid-associated neuropathy. Methods: Adult patients initiating MDR/RR-TB treatment including linezolid were prospectively enrolled in 3 independent cohorts in Germany. Clinical data and whole blood RNA for transcriptomic analysis were collected. The primary outcome was linezolid-associated optic and/or peripheral neuropathy. A random forest algorithm was used for biomarker identification. The biomarker was validated in an additional fourth cohort of patients with MDR/RR-TB from Romania. Results: A total of 52 patients from the 3 identification cohorts received linezolid treatment. Of those, 24 (46.2%) developed peripheral and/or optic neuropathies during linezolid treatment. The majority (59.3%) of the episodes were of moderate (grade 2) severity. In total, the expression of 1,479 genes differed significantly at baseline of treatment. Suprabasin (SBSN) was identified as a potential biomarker to predict linezolid-associated neuropathy. In the validation cohort, 10 of 42 (23.8%) patients developed grade ≥3 neuropathies. The area under the curve for the biomarker algorithm prediction of grade ≥3 neuropathies was 0.63 (poor; 95% confidence interval: 0.42 - 0.84). Conclusions: We identified and preliminarily validated a potential clinical biomarker to predict linezolid-associated neuropathies before the initiation of MDR/RR-TB therapy. Larger studies of the SBSN biomarker in more diverse populations are warranted.

Likelihood of Post-COVID Condition in people with hybrid immunity; data from the German National Cohort (NAKO).

OBJECTIVES: The risk of Post-COVID-19 condition (PCC) under hybrid immunity remains unclear. METHODS: Using data from the German National Cohort (NAKO Gesundheitsstudie), we investigated risk factors for self-reported post-infection symptoms (any PCC is defined as having at least one symptom, and high symptom burden PCC as having nine or more symptoms). RESULTS: Sixty percent of 109,707 participants reported at least one previous SARS-CoV-2 infection; 35% reported having had any symptoms 4-12 months after infection; among them 23% reported nine or more symptoms. Individuals, who did not develop PCC after their first infection, had a strongly reduced risk for PCC after their second infection (50%) and a temporary risk reduction, which waned over 9 months after the preceding infection. The risk of developing PCC strongly depended on the virus variant. Within variants, there was no effect of the number of preceding vaccinations, apart from a strong protection by the fourth vaccination compared to three vaccinations for the Omicron variant (odds ratio = 0.52; 95% confidence interval 0.45-0.61). CONCLUSIONS: Previous infections without PCC and a fourth vaccination were associated with a lower risk of PCC after a new infection, indicating diminished risk under hybrid immunity. The two components of risk reduction after a preceding infection suggest different immunological mechanisms.

University Students' Financial Situation During COVID-19 and Anxiety and Depressive Symptoms: Results of the COVID-19 German Student Well-Being Study (C19 GSWS).

Background: The COVID-19 pandemic has had a major impact on students' financial situation as well as on their mental health. Aim: To examine the reported change in the financial situation of German university students before and across two time points of the COVID-19 pandemic and to evaluate its associations with anxiety and depressive symptoms. Methods: We used data from the cross-sectional COVID-19 German Student Well-being Study conducted at five German universities (N = 7203). Linear regression models were used to analyze associations between a reported change in financial situation and anxiety and depressive symptoms. Results: Twenty-eight percent of the participants reported to have a worsened financial situation at the time of the survey compared to the time prior to the pandemic. A worsened financial situation at the time of the survey as compared to prior to the pandemic was associated with higher levels of anxiety and depressive symptoms reported in all three depression and anxiety scales [a 1.46 point increase on the CES-D 8 scale (95% confidence interval (CI): 1.19; 1.73), a 0.37-point increase in PHQ-2 (95% CI: 0.28; 0.46), and a 0.45-point increase in GAD-2 (95% CI: 0.35; 0.55)]. An improved financial situation, on the other hand, was associated with lower levels of anxiety and depressive symptoms. As for the second change, comparing the current financial situation with the situation during the first wave of the pandemic, the associations with anxiety and depressive symptoms were broadly similar. Conclusion: Our findings suggest that students are a vulnerable population in need of mental and financial support during times of crisis. Future research is needed to obtain insights into potential long-term effects of the pandemic on students' mental health.

The participation of hard-to-reach older people in the research and development process of health technologies from the perspective of multipliers-A qualitative analysis.

Introduction: The participation of older people in research and development processes has long been called for but has not been sufficiently put into practice. In addition, participation is often late and not particularly intensive, so that certain older groups of people are underrepresented in the development of health technologies (HT). Heterogeneity, e.g., between urban and rural populations, in access to and motivation for participation is also rarely taken into account. The aim of this study was to investigate form and phases of participation for hard-to-reach older people in the research and development process of HT. Methods: The qualitative study among multipliers was conducted using focus groups and telephone interviews and took place in a city and an adjacent rural area in northwestern Lower Saxony, Germany. A content analysis of the data was undertaken using deductive-inductive category formation. Results: Seventeen participants (13 female) took part in the study (median age 61, 33-73). Participants from both areas identified particular forms and phases of participation in the research and development process. Longer forms of participation for hard-to-reach groups and the development process of technologies for older people from the rural area were viewed as challenges. Passive and active access strategies are needed to achieve sufficient heterogeneity in the research and development process. Trusted multipliers can play an important role in gaining access to hard-to-reach older people, but also during the research process. Apart from facilitating factors (e.g., age-specific study materials), inhibiting factors such as contact anxieties are also indicated. Only urban participants mention financial/material incentives and community as possible motivations. Conclusions: The results provide important insights from the perspective of multipliers. They show specificities in access and participation for rural areas and for hard-to-reach older people. Many older people may have uncertainties about research projects and HT. Multipliers can assume a key role to help reduce these uncertainties in the future.

Ethnic differences in metabolic syndrome in high-income countries: A systematic review and meta-analysis.

This review aimed to systematically quantify the differences in Metabolic Syndrome (MetS) prevalence across various ethnic groups in high-income countries by sex, and to evaluate the overall prevalence trends from 1996 to 2022. We conducted a systematic literature review using MEDLINE, Web of Science Core Collection, CINAHL, and the Cochrane Library, focusing on studies about MetS prevalence among ethnic groups in high-income countries. We pooled 23 studies that used NCEP-ATP III criteria and included 147,756 healthy participants aged 18 and above. We calculated pooled prevalence estimates and 95% confidence intervals (CI) using both fixed-effect and random-effect intercept logistic regression models. Data were analysed for 3 periods: 1996-2005, 2006-2009, and 2010-2021. The pooled prevalence of MetS in high-income countries, based on the NCEP-ATP III criteria, was 27.4% over the studied period, showing an increase from 24.2% in 1996-2005 to 31.9% in 2010-2021, with men and women having similar rates. When stratified by ethnicity and sex, ethnic minority women experienced the highest prevalence at 31.7%, while ethnic majority women had the lowest at 22.7%. Notably, MetS was more prevalent in ethnic minority women than men. Among ethnic minorities, women had a higher prevalence of MetS than men, and the difference was highest in Asians (about 15 percentage points). Among women, the prevalence of MetS was highest in Asians (41.2%) and lowest in Blacks/Africans (26.7%). Among men, it was highest in indigenous minority groups (34.3%) and lowest among in Blacks/Africans (19.8%). MetS is increasing at an alarming rate in high-income countries, particularly among ethnic minority women. The burden of MetS could be effectively reduced by tailoring interventions according to ethnic variations and risk profiles.

International perspectives on measuring national digital public health system maturity through a multidisciplinary Delphi study.

Unlocking the full potential of digital public health (DiPH) systems requires a comprehensive tool to assess their maturity. While the World Health Organization and the International Telecommunication Union released a toolkit in 2012 covering various aspects of digitalizing national healthcare systems, a holistic maturity assessment tool has been lacking ever since. To bridge this gap, we conducted a pioneering Delphi study, to which 54 experts from diverse continents and academic fields actively contributed to at least one of three rounds. 54 experts participated in developing and rating multidisciplinary quality indicators to measure the maturity of national digital public health systems. Participants established consensus on these indicators with a threshold of 70% agreement on indicator importance. Eventually, 96 indicators were identified and agreed upon by experts. Notably, 48% of these indicators were found to align with existing validated tools, highlighting their relevance and reliability. However, further investigation is required to assess the suitability and applicability of all the suggestions put forward by our participants. Nevertheless, this Delphi study is an essential initial stride toward a comprehensive measurement tool for DiPH system maturity. By working towards a standardized assessment of DiPH system maturity, we aim to empower decision-makers to make informed choices, optimize resource allocation, and drive innovation in healthcare delivery. The results of this study mark a significant milestone in advancing DiPH on a global scale.

Interventions to promote health literacy among working-age populations experiencing socioeconomic disadvantage: systematic review.

Background: Experiencing financial insecurity and being underserved is often associated with low health literacy, i.e., the ability to identify, obtain, interpret and act upon health information, which may result in poor health outcomes. Little is known about effective interventions for promoting health literacy among underserved populations. The objective of this systematic review is to summarize the literature on such interventions and identify characteristics that differentiate more effective interventions. Methods: Following PRISMA guidelines we searched the databases SCOPUS, Pubmed, Web of Science core collection and CINAHL. We included primary studies with a quantitative study design and control groups testing interventions to increase health literacy or health knowledge in underserved populations between 18 and 65 years. Where possible, we converted effect sizes into Cohen's d and compared mean differences of intervention and control groups. Albatross plots were created to summarize the results according to different health literacy and health knowledge outcomes. Results: We screened 3,696 titles and abstracts and 206 full texts. In total, 86 articles were analyzed, of which 55 were summarized in seven albatross plots. The majority of the studies (n = 55) were conducted in the United States and had a randomized controlled study design (n = 44). More effective intervention approaches assessed needs of participants through focus group discussions prior to conducting the intervention, used bilingual educational materials, and included professionals fluent in the first languages of the study population as intervention deliverers. Additionally, the use of educational materials in video and text form, fotonovelas and interactive group education sessions with role playing exercises were observed to be effective. Discussion: Although the outcomes addressed in the included studies were heterogeneous, effective intervention approaches were often culturally sensitive and developed tailored educational materials. Interventions aiming to promote health literacy in underserved populations should hence consider applying similar approaches.Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=323801, PROSPERO registration ID: CRD42022323801.

Health Service Use Among Migrants in the German National Cohort-The Role of Birth Region and Language Skills.

Objective: To compare health service use (HSU) between migrants and non-migrants in Germany. Methods: Using data from the population-based German National Cohort (NAKO), we compared the HSU of general practitioners, medical specialists, and psychologists/psychiatrists between six migrant groups of different origins with the utilization of non-migrants. A latent profile analysis (LPA) with a subsequent multinomial regression analysis was conducted to characterize the HSU of different groups. Additionally, separate regression models were calculated. Both analyses aimed to estimate the direct effect of migration background on HSU. Results: In the LPA, the migrant groups showed no relevant differences compared to non-migrants regarding HSU. In separate analyses, general practitioners and medical specialists were used comparably to slightly more often by first-generation migrants from Eastern Europe, Turkey, and resettlers. In contrast, the use of psychologists/psychiatrists was substantially lower among those groups. Second-generation migrants and migrants from Western countries showed no differences in their HSU compared to non-migrants. Conclusion: We observed a low mental HSU among specific migrant groups in Germany. This indicates the existence of barriers among those groups that need to be addressed.

Determinants promoting and hindering physical activity in primary school children in Germany: a qualitative study with students, teachers and parents.

Background: Determinants affecting children's physical activity (PA) at an early age are of particular interest to develop and strengthen strategies for increasing the levels of children's PA. A qualitative study was conducted to investigate the views of primary school-aged children, their teachers and parents regarding barriers and facilitators to engage in PA. Methods: Focus groups were conducted separately with primary school children, parents and teachers in a city in Northern Germany between October 2021 and January 2022. The semi- structured focus groups with children and teachers took part in person within school, whereas the focus groups with parents took place online. Data were transcribed verbatim and analysed using thematic analysis. During analysis, the socio-ecological model was identified as useful to map the determinants mentioned and was consequently applied to organize the data. Results: Teachers (n = 10), parents (n = 18) and children (n = 46) of five primary schools in Germany participated in the focus groups. Participants of the three groups identified similar barriers and facilitators of PA in primary school-aged children, ranging across all four layers of the socio-ecological model. The barriers encountered were the preferences of children for sedentary activities (individual characteristics), the preference of parents to control their child's actions (microsystem), a lack of financial resources from parents and long sitting times in class (mesosystem), and barriers related to rainy weather and Covid-19 restrictions (exosystem). Facilitators mentioned were the childrens' natural tendency to be active (individual characteristics), involvement and co-participation of parents or peers in engaging in PA, support provided by teachers and the school (microsystem), living in rural areas, having sufficient facilities and favorable weather conditions (exosystem). Conclusion: A range of determinants promoting and hindering PA, ranging across all layers of the socio-ecological model were identified by children, parents and teachers in this study. These determinants need to be kept in mind when developing effective PA intervention programs for primary school-aged children. Future interventions should go beyond individual characteristics to also acknowledge the influence of childrens' social surrounding, including parents, peers and teachers, and the wider (school) environment.

[Digital health literacy in Germany: current status, concepts, and challenges]. / Digitale Gesundheitskompetenz der Bevölkerung in Deutschland: Aktueller Stand, Konzepte und Herausforderungen.

A key prerequisite for the successful digital transformation of the healthcare system is a well-developed level of digital health literacy (DHL) among the population. DHL is the ability to deal with health-relevant digital information and information options with the aim of promoting and maintaining health and well-being for oneself and one's environment. This article examines the discussions about digital health literacy, the existing studies and measurement tools used in them, the data situation in Germany, and current challenges.DHL consists of various sub-competencies that reflect current digital information behavior, opportunities, and risks. The data situation is very heterogeneous due to different study designs and instruments, which limits the informative value. Two representative studies, HLS-Ger­2 by Bielefeld University and the study by AOK Rheinland/Hamburg and the Leibniz-WissenschaftsCampus, both indicate a high proportion of people with low DHL despite different methods. Both nationally and internationally, DHL is subject to a social gradient and is associated with educational level, social status, financial deprivation, and age.According to the current empirical data, the acquisition of DHL in Germany is still insufficient, so there is a great need for action. The necessary legal framework conditions have been established, but there is still a lack of reliable and financial resources, as well as a solid data basis on DHL at population level. This is essential to identify vulnerability factors and to prepare and evaluate the implementation of measures. In addition, there is a need for an in-depth conceptual discussion on DHL that builds on the established health literacy concept and addresses the emerging health-related infodemic and its consequences for DHL.

The effectiveness of mental health interventions involving non-specialists and digital technology in low-and middle-income countries - a systematic review.

BACKGROUND: Combining non-specialists and digital technologies in mental health interventions could decrease the mental healthcare gap in resource scarce countries. This systematic review examined different combinations of non-specialists and digital technologies in mental health interventions and their effectiveness in reducing the mental healthcare gap in low-and middle-income countries. METHODS: Literature searches were conducted in four databases (September 2023), three trial registries (January-February 2022), and using forward and backward citation searches (May-June 2022). The review included primary studies on mental health interventions combining non-specialists and digital technologies in low-and middle-income countries. The outcomes were: (1) the mental health of intervention receivers and (2) the competencies of non-specialists to deliver mental health interventions. Data were expressed as standardised effect sizes (Cohen's d) and narratively synthesised. Risk of bias assessment was conducted using the Cochrane risk-of-bias tools for individual and cluster randomised and non-randomised controlled trials. RESULTS: Of the 28 included studies (n = 32 interventions), digital technology was mainly used in non-specialist primary-delivery treatment models for common mental disorders or subthreshold symptoms. The competencies of non-specialists were improved with digital training (d ≤ 0.8 in 4/7 outcomes, n = 4 studies, 398 participants). The mental health of receivers improved through non-specialist-delivered interventions, in which digital technologies were used to support the delivery of the intervention (d > 0.8 in 24/40 outcomes, n = 11, 2469) or to supervise the non-specialists' work (d = 0.2-0.8 in 10/17 outcomes, n = 3, 3096). Additionally, the mental health of service receivers improved through digitally delivered mental health services with non-specialist involvement (d = 0.2-0.8 in 12/27 outcomes, n = 8, 2335). However, the overall certainty of the evidence was poor. CONCLUSION: Incorporating digital technologies into non-specialist mental health interventions tended to enhance non-specialists' competencies and knowledge in intervention delivery, and had a positive influence on the severity of mental health problems, mental healthcare utilization, and psychosocial functioning outcomes of service recipients, primarily within primary-deliverer care models. More robust evidence is needed to compare the magnitude of effectiveness and identify the clinical relevance of specific digital functions. Future studies should also explore long-term and potential adverse effects and interventions targeting men and marginalised communities.

[Developments in the digitalization of public health since 2020 : Examples from the Leibniz ScienceCampus Digital Public Health Bremen]. / Entwicklungen in der Digitalisierung von Public Health seit 2020 : Beispiele aus dem Leibniz-WissenschaftsCampus Digital Public Health Bremen.

Digital public health has received a significant boost in recent years, especially due to the demands associated with the COVID-19 pandemic. In this report, we provide an overview of the developments in digitalization in the field of public health in Germany since 2020 and illustrate these with examples from the Leibniz ScienceCampus Digital Public Health Bremen (LSC DiPH).The following topics are central: How do digital survey methods as well as digital biomarkers and artificial intelligence methods shape modern epidemiology and prevention research? What is the status of digitalization in public health offices? Which approaches to health economics evaluation of digital public health interventions have been utilized so far? What is the status of training and further education in digital public health?The first years of the Leibniz ScienceCampus Digital Public Health Bremen (LSC DiPH) were also strongly influenced by the COVID-19 pandemic. Repeated population-based digital surveys of the LSC indicated an increase in use of health apps in the population, for example, in applications to support physical activity. The COVID-19-pandemic has also shown that the digitalization of public health enhances the risk of misinformation and disinformation.

[Digital technologies to improve mental health]. / Digitale Technologien zur Verbesserung der psychischen Gesundheit.

The burden of mental diseases is enormous and constantly growing worldwide. The resulting increase in demand for psychosocial help is also having a negative impact on waiting times for psychotherapy in Germany. Digital interventions for mental health, such as interventions delivered through or with the help of a website (e.g. "telehealth"), smartphone, or tablet app-based interventions and interventions that use text messages or virtual reality, can help. This article begins with an overview of the functions and range of applications of digital technologies for mental health. The evidence for individual digital forms of interventions is addressed. Overall, it is shown that digital interventions for mental health are likely to be cost-effective compared to no therapy or a non-therapeutic control group. Newer approaches such as "digital phenotyping" are explained in the article. Finally, individual papers from the "Leibniz ScienceCampus Digital Public Health" are presented, and limitations and challenges of technologies for mental health are discussed.

Disaster Preparedness Evaluation Tool (DPET): Adaptation and psychometric evaluation for nurses in Germany.

Background: The Disaster Preparedness Evaluation Tool (DPET) with 47 items was developed to assess the disaster preparedness level among nurses in the USA. Aim: This study aimed (1) to adapt and validate the DPET for the nursing context in Germany and (2) to perform its psychometric evaluation. Methods: The DPET items were translated to German (DPET-GER). Adaptation was performed to identify irrelevant items and content validity was estimated using the scale-level content validity index (S-CVI) based on expert ratings. Psychometric evaluation was performed based on data from an online survey of 317 nurses. Internal consistency (Cronbach's alpha) and factor structure were assessed with an exploratory factor analysis. Results: Ten items were unanimously rated as irrelevant by four experts and removed. Based on ratings by further seven experts, the content validity of DPET-GER was low for all 37 items (S-CVI of 0.53) or moderate for 19 items rated as relevant (S-CVI of 0.74). The internal consistency of DPET-GER was high (Cronbach's alpha of 0.94) and 37 items were reduced to five factors that explain 55% of variance in all items. Conclusions: The DPET-GER has acceptable psychometric properties (internal consistency and factor structure). However, low content validity indicates that further adaptation of the DPET-GER is required before it could be used to assess disaster preparedness among nurses in Germany. More research is also needed to contextualize the construct of disaster preparedness.

Chronic disease outcome metadata from German observational studies - public availability and FAIR principles.

Metadata from epidemiological studies, including chronic disease outcome metadata (CDOM), are important to be findable to allow interpretability and reusability. We propose a comprehensive metadata schema and used it to assess public availability and findability of CDOM from German population-based observational studies participating in the consortium National Research Data Infrastructure for Personal Health Data (NFDI4Health). Additionally, principal investigators from the included studies completed a checklist evaluating consistency with FAIR principles (Findability, Accessibility, Interoperability, Reusability) within their studies. Overall, six of sixteen studies had complete publicly available CDOM. The most frequent CDOM source was scientific publications and the most frequently missing metadata were availability of codes of the International Classification of Diseases, Tenth Revision (ICD-10). Principal investigators' main perceived barriers for consistency with FAIR principles were limited human and financial resources. Our results reveal that CDOM from German population-based studies have incomplete availability and limited findability. There is a need to make CDOM publicly available in searchable platforms or metadata catalogues to improve their FAIRness, which requires human and financial resources.

Addressing community readiness to promote physical activity in older adults in Germany.

Community-based approaches are promising to promote physical activity in old age. The community readiness (CR) model offers a structured approach to assess community capacities to address a certain health topic before and after implementing an intervention. The objective of this study is to assess whether community-based capacity building for physical activity among the elderly has a lasting effect on CR. Four communities (two sub-urban and two urban) in Northwestern Germany were randomly assigned to either intervention or control group. CR was assessed at three time points (2015, 2018 and 2020) by interviewing local key informants (n = 129). Community capacity building was carried out in the two intervention communities after baseline assessment and included the development and implementation of a local physical activity action plan for elderly. Overall CR scores were calculated and random effects regression analysis was performed to analyze group-by-time interaction. At baseline, the overall CR score was 4.62 (standard deviation (SD) = 0.51) indicating that communities were in the preplanning stage of CR. CR scores in the intervention communities did not significantly increase at follow-up assessments compared to control communities [2018: 4.82, coefficient -0.03, 95% confidence interval (CI) (-0.80; 0.73); 2020: 4.54, coefficient 0.19, 95% CI: (-0.59; 0.97)]. The process evaluation indicated several factors facilitating a successful cooperation with community stakeholders. These included building on existing networks, using a structured approach for developing and implementing a local physical activity action plan for older adults, providing financial support for implementing activities and linking activities to existing community events.

Involving trained community health mediators in COVID-19 prevention measures. A process evaluation from Bremen, Germany.

Objective: The objective was to assess the feasibility of incorporating trained community health mediators in COVID-19 prevention in a multicultural and disadvantaged setting in Bremen, Germany. Specifically, we aimed to develop and implement measures corresponding to the needs of the residents and to analyse the role of digital communication tools and sustainability factors of the health mediator approach. Methods: A comprehensive process evaluation using 41 qualitative interviews with residents, mediator short surveys and group discussions, work documentation sheets, and a stakeholder workshop was carried out. Results: Uncertainties due to changing regulations, a lack of trust and fear of potential side effects were major themes identified in the needs assessment. The eight mediators documented more than 1,600 contacts. Digital communication via Facebook was a useful tool, but personal contacts remained crucial for communicating with residents. The participatory approach, multilingualism and the flexibility to react to dynamic situations were identified as relevant factors for the success and sustainability of the health mediator approach. Conclusion: Multilingual health mediators can facilitate contact with and dissemination of health information to different communities and also can play an important role in pandemic preparedness.

[Life course epidemiology in migrant health research]. / Lebenslauforientierte Epidemiologie in der Migrationsforschung.

From free choice to forced flight, there are many reasons for migration. Accordingly, the backgrounds and living conditions of migrating people are also diverse. The different associated exposures affect the health of migrants and their children. To capture such a complex phenomenon, an approach is required that takes specific living conditions during the life course of migrants into account.An established methodological approach that can accomplish this is life course epidemiology. When applied to migrating populations, it examines exposures before, during, and after migration. In epidemiological research on the health of migrant populations, it is desirable to consider all three phases. This is countered by the fact that reliable data on the entire life course is not always available.A valid, timely collection and data protection-compliant linkage of longitudinal data from different sources can improve life course-related research on the health of migrants in Germany. In the future, corresponding data should also be included from the countries of origin of migrants.

Associations of Migration, Socioeconomic Position and Social Relations With Depressive Symptoms - Analyses of the German National Cohort Baseline Data.

Objectives: We analyze whether the prevalence of depressive symptoms differs among various migrant and non-migrant populations in Germany and to what extent these differences can be attributed to socioeconomic position (SEP) and social relations. Methods: The German National Cohort health study (NAKO) is a prospective multicenter cohort study (N = 204,878). Migration background (assessed based on citizenship and country of birth of both participant and parents) was used as independent variable, age, sex, Social Network Index, the availability of emotional support, SEP (relative income position and educational status) and employment status were introduced as covariates and depressive symptoms (PHQ-9) as dependent variable in logistic regression models. Results: Increased odds ratios of depressive symptoms were found in all migrant subgroups compared to non-migrants and varied regarding regions of origins. Elevated odds ratios decreased when SEP and social relations were included. Attenuations varied across migrant subgroups. Conclusion: The gap in depressive symptoms can partly be attributed to SEP and social relations, with variations between migrant subgroups. The integration paradox is likely to contribute to the explanation of the results. Future studies need to consider heterogeneity among migrant subgroups whenever possible.