Now showing items 1-5 of 5

  • Østby, Kristian Amundsen; Czajkowski, Nikolai Olavi; Knudsen, Gun Peggy; Ystrøm, Eivind; Gjerde, Line C.; Kendler, Kenneth S.; Ørstavik, Ragnhild; Reichborn-Kjennerud, Ted (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2016)
    Background Results from observational studies suggest that people who drink little or no alcohol are less healthy than medium drinkers. This has been demonstrated for many different measures of health, including sick leave. ...
  • Torvik, Fartein Ask; Reichborn-Kjennerud, Ted; Gjerde, Line C.; Knudsen, Gun Peggy; Ystrøm, Eivind; Tambs, Kristian; Røysamb, Espen; Østby, Kristian Amundsen; Ørstavik, Ragnhild (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2016)
    Background Mental disorders strongly influence work capability in young adults, but it is not clear which disorders that are most strongly associated with sick leave, and which diagnoses that are stated on the sick leave ...
  • Nilsen, Thomas Sevenius; Brandt, Ingunn; Czajkowski, Nikolai Olavi; Knudsen, Gun Peggy; Magnus, Per; Reichborn-Kjennerud, Ted; Tambs, Kristian; Harris, Jennifer; Ørstavik, Ragnhild (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2016)
    The Norwegian Twin Registry (NTR) is a large population based twin cohort for research purposes. At present, the registry has 14 692 complete twin pairs with information on zygosity and to varying degree information on ...
  • Ystrøm, Eivind; Ørstavik, Ragnhild; Reichborn-Kjennerud, Ted; Torvik, Fartein Ask (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2016)
    Social welfare support runs in families. Recent studies using Nordic registry data have found individual differences in genetic factors to be of substantial importance for medical benefits. However, to date there has been ...
  • Torvik, Fartein Ask; Ystrøm, Eivind; Czajkowski, Nikolai Olavi; Tambs, Kristian; Røysamb, Espen; Ørstavik, Ragnhild; Knudsen, Gun Peggy; Kendler, Kenneth S; Reichborn-Kjennerud, Ted (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2015)
    Background Low socioeconomic status (SES), indicated by low income and education, has consistently been found to be a strong predictor of sick leave. Several possible pathways from SES to sick leave have been described in ...