title: Perceived cognitive function in coronary artery disease--an unrecognised predictor of unemployment.
abstract: OBJECTIVE
  We aimed to assess whether perceived cognitive function influences employment and return to work in patients with coronary artery disease (CAD).
  
  
  METHODS
  Prospective longitudinal cohort study.
  
  
  METHODS
  Health care system of Södertälje, Stockholm County, Sweden.
  
  
  METHODS
  We included consecutive unselected patients less than 65 years of age with CAD and followed them during 2 years.
  
  
  METHODS
  Gainful employment and return to work in patients with CAD.
  
  
  RESULTS
  We found that perceived cognitive function predicts both prevalence of unemployment [OR 2.06 (95% CI: 1.36-3.13); p = 0.0006] and early retirement and sick leave due to coronary artery disease [OR 1.59 (95% CI: 1.12-2.25)] both at baseline and 2 years later. Furthermore, perceived cognitive function predicted return to work after an acute coronary event [OR 2.28 (95% CI: 1.08-4.84)]. Covariates such as age, sex, prevalence and degree of angina (CCS grade), cardiovascular risk factors and events did not change the predictive power.
  
  
  CONCLUSIONS
  Perceived cognitive function is a hitherto unrecognised independent predictor of unemployment, sick leave and return to work in patients with coronary artery disease. Perceived cognitive function adds a new perspective on ability to gainful employment in patients with CAD. The findings might have significance both to individual care and to society.
authors.affiliation: Centre for Clinical Education, Karolinska Institute at Danderyd University Hospital, Stockholm, Sweden. Anna.Kiessling@kids.ki.se
authors.forename: Anna
authors.initials: A
authors.lastname: Kiessling
authors.forename: Peter
authors.initials: P
authors.lastname: Henriksson
mesh_terms: D000293:Adolescent; D000328:Adult; D003071:Cognition; D003324:Coronary Artery Disease / Q000503:physiopathology / Q000523:psychology*; D005260:Female; D006760:Hospitalization; D006801:Humans; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D011788:Quality of Life; D012179:Retirement / Q000523:psychology / Q000706:statistics & numerical data; D018582:Sick Leave / Q000706:statistics & numerical data; D018434:Sickness Impact Profile; D011795:Surveys and Questionnaires; D013548:Sweden; D014478:Unemployment / Q000523:psychology* / Q000706:statistics & numerical data