title: Pattern and predictors of sick leave among users of antidepressants: a Danish retrospective register-based cohort study.
abstract: OBJECTIVE
  Depression is associated with work absenteeism, reduced productivity, and significant personal and societal economic burden. We describe patterns and determinants of sick leave among working Danish antidepressant users.
  
  
  METHODS
  Persons starting antidepressant treatment (January 1, 2004 through December 31, 2005) were identified from a representative 25% sample of the Danish population by linking Danish national registries. Inclusion criteria were age 18-64 years, being in the workforce the week prior to the first antidepressant prescription (index prescription, IP), and no antidepressant prescription in the year prior to the IP. Only sick leaves >2 weeks are centrally registered in Denmark and could be assessed. Cox regression analyses identified predictors of sick leave during the year following the IP, based on previous history of sick leave and clinical and socio-demographic baseline characteristics.
  
  
  RESULTS
  In the cohort of 25,908 (59.7% women), sick leave prevalence increased from 37.5% (year prior to IP) to 45.3% (year after the IP); 30.7% were on sick leave for >8 weeks. Incidence peaked (35.5% of individuals) the week after the IP. Of persons with sick leave in the year before the IP, 62.7% were on sick leave the first week after the IP, vs 5.7% of those without previous sick leave. Predictors associated with increased risk of sick leave among those without previous sick leave were unemployment, female gender, age 25-54 years, couples with children, and vocational and higher intermediate education (including e.g. teachers and nurses).
  
  
  CONCLUSIONS
  Reasons for sick leave, sick leaves of less than 14 days and the indications for antidepressant treatment were unknown.
  
  
  CONCLUSIONS
  Sick leave was prevalent in persons starting new antidepressant use, often lasting >8 weeks. Previous sick leave was the strongest predictor of subsequent sick leave.
authors.affiliation: Aarhus University, School of Business and Social Sciences, National Centre for Registry-based Research, NCRR, Fuglesangsalle 4, DK-8210 Aarhus V, Denmark. Electronic address: cg@ncrr.dk.
authors.forename: Christiane
authors.initials: C
authors.lastname: Gasse
authors.forename: Liselotte
authors.initials: L
authors.lastname: Petersen
authors.forename: Julien
authors.initials: J
authors.lastname: Chollet
authors.forename: Delphine
authors.initials: D
authors.lastname: Saragoussi
mesh_terms: D000041:Absenteeism; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000928:Antidepressive Agents / Q000627:therapeutic use*; D003718:Denmark / Q000453:epidemiology; D003866:Depressive Disorder / Q000188:drug therapy* / Q000453:epidemiology / Q000523:psychology; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D016016:Proportional Hazards Models; D012042:Registries; D012189:Retrospective Studies; D012737:Sex Factors; D018582:Sick Leave / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors; D055815:Young Adult
chemical_list: D000928:Antidepressive Agents
keywords: Antidepressants; Database study; Depression; Pharmacoepidemiology; Work absence