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

  1. Vonneilich, Nico
  2. Becher, Heiko
  3. Bohn, Barbara
  4. Brandes, Berit ORCID logo
  5. Castell, Stefanie
  6. Deckert, Andreas
  7. Dragano, Nico
  8. Franzke, Claus-Werner
  9. Führer, Amand
  10. Gastell, Sylvia
  11. Greiser, Halina
  12. Keil, Thomas
  13. Klett-Tammen, Carolina
  14. Koch-Gallenkamp, Lena
  15. Krist, Lilian
  16. Leitzmann, Michael
  17. Meinke-Franze, Claudia
  18. Mikolajczyk, Rafael
  19. Moreno Velásquez, Ilais
  20. Obi, Nadia
  21. Peters, Annette
  22. Pischon, Tobias
  23. Reuter, Marvin
  24. Schikowski, Tamara
  25. Schmidt, Börge
  26. Schulze, Matthias B.
  27. Sergeev, Dmitry
  28. Stang, Andreas
  29. Völzke, Henry
  30. Wiessner, Christian
  31. Zeeb, Hajo ORCID logo
  32. Lüdecke, Daniel
  33. von dem Knesebeck, Olaf

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1000 Titel
  • Associations of Migration, Socioeconomic Position and Social Relations With Depressive Symptoms – Analyses of the German National Cohort Baseline Data
1000 Autor/in
  1. Vonneilich, Nico |
  2. Becher, Heiko |
  3. Bohn, Barbara |
  4. Brandes, Berit |
  5. Castell, Stefanie |
  6. Deckert, Andreas |
  7. Dragano, Nico |
  8. Franzke, Claus-Werner |
  9. Führer, Amand |
  10. Gastell, Sylvia |
  11. Greiser, Halina |
  12. Keil, Thomas |
  13. Klett-Tammen, Carolina |
  14. Koch-Gallenkamp, Lena |
  15. Krist, Lilian |
  16. Leitzmann, Michael |
  17. Meinke-Franze, Claudia |
  18. Mikolajczyk, Rafael |
  19. Moreno Velásquez, Ilais |
  20. Obi, Nadia |
  21. Peters, Annette |
  22. Pischon, Tobias |
  23. Reuter, Marvin |
  24. Schikowski, Tamara |
  25. Schmidt, Börge |
  26. Schulze, Matthias B. |
  27. Sergeev, Dmitry |
  28. Stang, Andreas |
  29. Völzke, Henry |
  30. Wiessner, Christian |
  31. Zeeb, Hajo |
  32. Lüdecke, Daniel |
  33. von dem Knesebeck, Olaf |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-07-18
1000 Erschienen in
1000 Quellenangabe
  • 68:1606097
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/ijph.2023.1606097 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10391163/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal NAKO
lokal migrant health
lokal social relations
lokal social integration
lokal depressive symptoms
lokal migration
lokal German National Cohort
lokal socioeconomic position
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 (Academic) Editor
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. The federal states |
  3. The Helmholtz Association |
1000 Fördernummer
  1. 01ER1301A/B/C; 01ER1511D
  2. -
  3. -
1000 Förderprogramm
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1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer 01ER1301A/B/C; 01ER1511D
  2. 1000 joinedFunding-child
    1000 Förderer The federal states |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer The Helmholtz Association |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 Erstellt am 2023-08-07T13:38:24.183+0200
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1000 Zuletzt bearbeitet 2024-07-03T13:56:26.745+0200
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