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1000 Titel
  • The interplay of gender, social context, and long-term unemployment effects on subjective health trajectories
1000 Autor/in
  1. Altweck, Laura |
  2. Hahm, Stefanie |
  3. Muehlan, Holger |
  4. Gfesser, Tobias |
  5. Ulke, Christine |
  6. Speerforck, Sven |
  7. Schomerus, Georg |
  8. Beutel, Manfred E. |
  9. Brähler, Elmar |
  10. Schmidt, Silke |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-02-04
1000 Erschienen in
1000 Quellenangabe
  • 21(1):290
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12889-021-10324-8 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859896/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background: While a strong negative impact of unemployment on health has been established, the present research examined the lesser studied interplay of gender, social context and job loss on health trajectories. Methods: Data from the German Socio-Economic Panel was used, which provided a representative sample of 6838 participants. Using latent growth modelling the effects of gender, social context (East vs. West Germans), unemployment (none, short-term or long-term), and their interactions were examined on health (single item measures of self-rated health and life satisfaction respectively). Results: Social context in general significantly predicted the trajectories of self-rated health and life satisfaction. Most notably, data analysis revealed that West German women reported significantly lower baseline values of self-rated health following unemployment and did not recover to the levels of their East German counterparts. Only long-term, not short-term unemployment was related to lower baseline values of self-rated health, whereas, in relation to baseline values of life satisfaction, both types of unemployment had a similar negative effect. Conclusions: In an economic crisis, individuals who already carry a higher burden, and not only those most directly affected economically, may show the greatest health effects.
1000 Sacherschließung
lokal Female [MeSH]
lokal Health
lokal Health Status [MeSH]
lokal Humans [MeSH]
lokal Unemployment
lokal Gender
lokal Social Environment [MeSH]
lokal Social context
lokal Panel data
lokal Life satisfaction
lokal Research
lokal Growth modelling
lokal Unemployment [MeSH]
lokal Diagnostic Self Evaluation [MeSH]
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/QWx0d2VjaywgTGF1cmE=|https://frl.publisso.de/adhoc/uri/SGFobSwgU3RlZmFuaWU=|https://frl.publisso.de/adhoc/uri/TXVlaGxhbiwgSG9sZ2Vy|https://frl.publisso.de/adhoc/uri/R2Zlc3NlciwgVG9iaWFz|https://frl.publisso.de/adhoc/uri/VWxrZSwgQ2hyaXN0aW5l|https://frl.publisso.de/adhoc/uri/U3BlZXJmb3JjaywgU3Zlbg==|https://frl.publisso.de/adhoc/uri/U2Nob21lcnVzLCBHZW9yZw==|https://frl.publisso.de/adhoc/uri/QmV1dGVsLCBNYW5mcmVkIEUu|https://frl.publisso.de/adhoc/uri/QnLDpGhsZXIsIEVsbWFy|https://frl.publisso.de/adhoc/uri/U2NobWlkdCwgU2lsa2U=
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1000 Erstellt am 2023-11-15T13:05:26.729+0100
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