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      Associations Between Acculturation, Depressive Symptoms, and Life Satisfaction Among Migrants of Turkish Origin in Germany: Gender- and Generation-Related Aspects

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          Abstract

          Objective

          The aim of the present study was to investigate the degree of depressive symptoms and life satisfaction (LS) as well as the association between acculturation and depressive symptoms among a large sample of persons with Turkish migration background in Germany, taking into account gender- and migration-related differences.

          Methods

          This study was part of a pretest for a large national epidemiological cohort study in Germany. Acculturation was measured using the Frankfurt Acculturation Scale (FRACC). Based on the median split of the two subscales, four acculturative styles according to Berry (integration, assimilation, separation and marginalization) were determined. Depressive symptoms were assessed with the depression module (PHQ-9) from the Patient Health Questionnaire. LS was assessed with a single item on a scale from 1 = bad to 5 = excellent. Differences in levels of depressive symptoms and LS in relation to gender and generation of migration were tested with analysis of covariance, controlling for age. Gender-stratified multiple linear regression analyses were also conducted for depressive symptoms as criterion variable.

          Results

          328 Turkish migrants participated (61.3% women). The cut-off-value of ≥10 for the PHQ-9 was achieved by 33.2% of the women and 26.4% of the men (p=0.209, φ=0.071). In female migrants, the age-adjusted mean score for depressive symptoms was 7.81 (SD=6.42), in males 6.70 (SD=6.41) (p=0.137, η 2=0.007). After controlling for unemployment status, women showed a trend for being more frequently depressed than men (p=0.055, φ=0.117) and also demonstrated a trend for higher levels of depressive symptoms (p=0.072, η 2=0.012). No significant gender-specific difference was found concerning age-adjusted mean score for LS (p=0.547, η 2=0.001), also when controlled for unemployment status (p=0.322, η 2=0.004). In both sexes, the second generation demonstrated a significantly higher age-adjusted mean score for LS of small/medium effect size than the first generation. In women, separation as acculturation style (linear regression coefficient (B=4.42, 95% CI=1.68, 7.17, p=0.002; reference: integration), having no partnership (B=2.56, 95% CI=0.26, 4.86, p=0.03) and lower education (B=-2.28, 95% CI=-4.54, -0.02, p=0.048) were associated with higher severity of depressive symptoms; in men, separation as acculturation style (B=4.01, 95% CI=0.70, 7.31, p=0.018; reference: integration) and employment status (B=-3.32, 95% CI=-5.71, -0.92, p=0.007) were related to depression levels.

          Conclusions

          Separation as acculturation style is associated with higher levels of depressive symptoms (for both genders). Gender-sensitive health promotion programs should target separated migrants to improve their integration into the German society.

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          Most cited references47

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          The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review.

          Depression, anxiety and somatization are the most common mental disorders in primary care as well as medical specialty populations; each is present in at least 5-10% of patients and frequently comorbid with one another. An efficient means for measuring and monitoring all three conditions would be desirable. Evidence regarding the psychometric and pragmatic characteristics of the Patient Health Questionnaire (PHQ)-9 depression, generalized anxiety disorder (GAD)-7 anxiety and PHQ-15 somatic symptom scales are synthesized from two sources: (1) four multisite cross-sectional studies (three conducted in primary care and one in obstetric-gynecology practices) comprising 9740 patients, and (2) key studies from the literature that have studied these scales. The PHQ-9 and its abbreviated eight-item (PHQ-8) and two-item (PHQ-2) versions have good sensitivity and specificity for detecting depressive disorders. Likewise, the GAD-7 and its abbreviated two-item (GAD-2) version have good operating characteristics for detecting generalized anxiety, panic, social anxiety and post-traumatic stress disorder. The optimal cutpoint is > or = 10 on the parent scales (PHQ-9 and GAD-7) and > or = 3 on the ultra-brief versions (PHQ-2 and GAD-2). The PHQ-15 is equal or superior to other brief measures for assessing somatic symptoms and screening for somatoform disorders. Cutpoints of 5, 10 and 15 represent mild, moderate and severe symptom levels on all three scales. Sensitivity to change is well-established for the PHQ-9 and emerging albeit not yet definitive for the GAD-7 and PHQ-15. The PHQ-9, GAD-7 and PHQ-15 are brief well-validated measures for detecting and monitoring depression, anxiety and somatization. Copyright 2010. Published by Elsevier Inc.
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            Twelve-month prevalence, comorbidity and correlates of mental disorders in Germany: the Mental Health Module of the German Health Interview and Examination Survey for Adults (DEGS1-MH).

            This paper provides up to date prevalence estimates of mental disorders in Germany derived from a national survey (German Health Interview and Examination Survey for Adults, Mental Health Module [DEGS1-MH]). A nationally representative sample (N = 5318) of the adult (18-79) population was examined by clinically trained interviewers with a modified version of the Composite International Diagnostic Interview (DEGS-CIDI) to assess symptoms, syndromes and diagnoses according to DSM-IV-TR (25 diagnoses covered). Of the participants 27.7% met criteria for at least one mental disorder during the past 12 months, among them 44% with more than one disorder and 22% with three or more diagnoses. Most frequent were anxiety (15.3%), mood (9.3%) and substance use disorders (5.7%). Overall rates for mental disorders were substantially higher in women (33% versus 22% in men), younger age group (18-34: 37% versus 20% in age group 65-79), when living without a partner (37% versus 26% with partnership) or with low (38%) versus high socio-economic status (22%). High degree of urbanization (> 500,000 inhabitants versus < 20,000) was associated with elevated rates of psychotic (5.2% versus 2.5%) and mood disorders (13.9% versus 7.8%). The findings confirm that almost one third of the general population is affected by mental disorders and inform about subsets in the population who are particularly affected.
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              The German National Cohort: aims, study design and organization

              (2014)
              The German National Cohort (GNC) is a joint interdisciplinary endeavour of scientists from the Helmholtz and the Leibniz Association, universities, and other research institutes. Its aim is to investigate the causes for the development of major chronic diseases, i.e. cardiovascular diseases, cancer, diabetes, neurodegenerative/-psychiatric diseases, musculoskeletal diseases, respiratory and infectious diseases, and their pre-clinical stages or functional health impairments. Across Germany, a random sample of the general population will be drawn by 18 regional study centres, including a total of 100,000 women and 100,000 men aged 20–69 years. The baseline assessments include an extensive interview and self-completion questionnaires, a wide range of medical examinations and the collection of various biomaterials. In a random subgroup of 20 % of the participants (n = 40,000) an intensified examination (“Level 2”) programme will be performed. In addition, in five of the 18 study centres a total of 30,000 study participants will take part in a magnetic resonance imaging examination programme, and all of these participants will also be offered the intensified Level 2 examinations. After 4–5 years, all participants will be invited for a re-assessment. Information about chronic disease endpoints will be collected through a combination of active follow-up (including questionnaires every 2–3 years) and record linkages. The GNC is planned for an overall duration of 25–30 years. It will provide a major, central resource for population-based epidemiology in Germany, and will help to identify new and tailored strategies for early detection, prediction, and primary prevention of major diseases.
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                Author and article information

                Contributors
                Journal
                Front Psychiatry
                Front Psychiatry
                Front. Psychiatry
                Frontiers in Psychiatry
                Frontiers Media S.A.
                1664-0640
                30 July 2020
                2020
                : 11
                : 715
                Affiliations
                [1] 1 Department of Psychosomatic Medicine and Psychotherapy, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU) , Erlangen, Germany
                [2] 2 Department for Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology – BIPS , Bremen, Germany
                [3] 3 Institute for Medical Sociology, University Hospital Düsseldorf , Düsseldorf, Germany
                [4] 4 Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen , Essen, Germany
                [5] 5 Institute for Urban Public Health, University Hospital Essen , Essen, Germany
                Author notes

                Edited by: Patrik Roser, Psychiatric Services Aargau, Switzerland

                Reviewed by: Eric Hahn, Charité – Universitätsmedizin Berlin, Germany; Stephan Bongard, Goethe University Frankfurt, Germany

                *Correspondence: Eva Morawa, eva.morawa@ 123456uk-erlangen.de

                This article was submitted to Public Mental Health, a section of the journal Frontiers in Psychiatry

                Article
                10.3389/fpsyt.2020.00715
                7406783
                32848908
                b3d7e8f7-eae7-4b45-bd88-3bafa93e49f9
                Copyright © 2020 Morawa, Brand, Dragano, Jöckel, Moebus and Erim

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 31 August 2019
                : 07 July 2020
                Page count
                Figures: 0, Tables: 4, Equations: 0, References: 57, Pages: 10, Words: 6640
                Categories
                Psychiatry
                Original Research

                Clinical Psychology & Psychiatry
                depression,life satisfaction,mental health,migrants,turkish
                Clinical Psychology & Psychiatry
                depression, life satisfaction, mental health, migrants, turkish

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