@article{LiedlWiesbroeckFritschetal.2020,
  author    = {Liedl, Bernd and Wiesbr{\"o}ck, Laura and Fritsch, Nina-Sophie and Verwiebe, Roland},
  title     = {The structure of social capital in Austria},
  series = {{\"O}sterreichische Zeitschrift f{\"u}r Soziologie},
  volume    = {45},
  journal   = {{\"O}sterreichische Zeitschrift f{\"u}r Soziologie},
  number    = {2},
  publisher = {Springer},
  address   = {Wiesbaden},
  doi       = {10.1007/s11614-020-00403-2},
  pages     = {115 -- 138},
  year      = {2020},
  abstract  = {This paper seeks to address the relationship between social capital and perceived social origin in contemporary Austria. While the concept of social capital has been widely adopted in social sciences, so far research on the (pre)structured shape of social capital by social origin is scarce. Our aim is to close this gap. Therefore, we use the network-as-capital approach by following the "position generator" and apply latent class analysis (LCA) and path modelling on the basis of the 2018 Austrian Social Survey. The dataset comprises a representative sample of the Austrian residential population aged 18 and older. Our findings show that the diversity of social capital, and access to networks of people in more highly ranked positions is strongly influenced by one's social background. The higher respondents assess their social origin, the greater the probability of being in this type of network. Furthermore, education and occupation have effects on membership in a class-specific network.},
  language  = {en}
}
@article{LiedlFritschWiesbroecketal.2020,
  author    = {Liedl, Bernd and Fritsch, Nina-Sophie and Wiesbr{\"o}ck, Laura and Verwiebe, Roland},
  title     = {The structure of social capital in Austria},
  series = {{\"O}sterreichische Zeitschrift f{\"u}r Soziologie},
  volume    = {45},
  journal   = {{\"O}sterreichische Zeitschrift f{\"u}r Soziologie},
  number    = {2},
  publisher = {Wiesbaden},
  address   = {Springer},
  issn      = {1862-2585},
  doi       = {10.1007/s11614-020-00403-2},
  pages     = {115 -- 138},
  year      = {2020},
  abstract  = {This paper seeks to address the relationship between social capital and perceived social origin in contemporary Austria. While the concept of social capital has been widely adopted in social sciences, so far research on the (pre)structured shape of social capital by social origin is scarce. Our aim is to close this gap. Therefore, we use the network-as-capital approach by following the "position generator" and apply latent class analysis (LCA) and path modelling on the basis of the 2018 Austrian Social Survey. The dataset comprises a representative sample of the Austrian residential population aged 18 and older. Our findings show that the diversity of social capital, and access to networks of people in more highly ranked positions is strongly influenced by one's social background. The higher respondents assess their social origin, the greater the probability of being in this type of network. Furthermore, education and occupation have effects on membership in a class-specific network.},
  language  = {en}
}
@article{KlugeRappMehranetal.2019,
  author    = {Kluge, Ulrike and Rapp, Michael Armin and Mehran, Nassim and Abi Jumaa, Jinan and Aichberger, Marion Christina},
  title     = {Poverty, migration and mental health},
  series = {Der Nervenarzt : Organ der Deutschen Gesellschaft f{\"u}r Psychiatrie, Psychotherapie und Nervenheilkunde ; Mitteilungsblatt der Deutschen Gesellschaft f{\"u}r Neurologie},
  volume    = {90},
  journal   = {Der Nervenarzt : Organ der Deutschen Gesellschaft f{\"u}r Psychiatrie, Psychotherapie und Nervenheilkunde ; Mitteilungsblatt der Deutschen Gesellschaft f{\"u}r Neurologie},
  number    = {11},
  publisher = {Springer},
  address   = {New York},
  issn      = {0028-2804},
  doi       = {10.1007/s00115-019-00790-2},
  pages     = {1103 -- 1108},
  year      = {2019},
  abstract  = {Poverty and social exclusion are closely related to an increased risk for the deterioration of mental health. In 2018 approximately 19\% of the German population were threatened by poverty and the associated social ostracization. Migrant groups in particular often show an increased risk for poverty and are often exposed to multiple socioeconomic stress factors depending on the context of migration, pre-migration and post-migration social factors. Numerous studies have shown that societal exclusion, precarious living conditions and the residential environment negatively affect mental health beyond the effects of pre-migration risk factors. This article provides a review and discussion on the relationship between mental health, poverty and related constructs, such as social cohesion, social capital and social exclusion in general as well as in specific risk groups, such as migrant and refugee populations.},
  language  = {en}
}