title: Domains of cognitive function in early old age: which ones are predicted by pre-retirement psychosocial work characteristics?
abstract: Psychosocial work characteristics may predict cognitive functioning after retirement. However, little research has explored specific cognitive domains associated with psychosocial work environments. Our study tested whether exposure to job demands, job control and their combination during working life predicted post-retirement performance on eight cognitive tests.
  
  
  
  We used data from French GAZEL cohort members who had undergone post-retirement cognitive testing (n=2149). Psychosocial job characteristics were measured on average for 4 years before retirement using Karasek's Job Content Questionnaire (job demands, job control and demand-control combinations). We tested associations between these exposures and post-retirement performance on tests for executive function, visual-motor speed, psychomotor speed, verbal memory, and verbal fluency using ordinary least squares regression.
  
  
  
  Low job control during working life was negatively associated with executive function, psychomotor speed, phonemic fluency and semantic fluency after retirement (p's<0.05), even after adjustment for demographics, socioeconomic status, health and social behaviours and vascular risk factors. Both passive (low-demand, low-control) and high-strain (high-demand, low-control) jobs were associated with lower scores on phonemic and semantic fluency when compared to low-strain (low-demand, high-control) jobs.
  
  
  
  Low job control, in combination with both high and low-job demands, is associated with post-retirement deficits in some, but not all, cognitive domains. In addition to work stress, associations between passive work and subsequent cognitive function may implicate lack of cognitive engagement at work as a risk factor for future cognitive difficulties.
authors.affiliation: Boston College, School of Social Work, Chestnut Hill, Massachusetts, USA.
authors.forename: Erika L
authors.identifier: 0000-0002-7866-7812
authors.initials: EL
authors.lastname: Sabbath
authors.affiliation: University of South Florida, School of Aging Studies, Tampa, Florida, USA International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic.
authors.forename: Ross
authors.identifier: 0000-0003-4083-4790
authors.initials: R
authors.lastname: Andel
authors.affiliation: Population-based Epidemiologic Cohorts Unit, INSERM, Villejuif, France INSERM UMR-S 1168 VIMA, Villejuif, France Versailles St-Quentin University, Villejuif, France.
authors.forename: Marie
authors.initials: M
authors.lastname: Zins
authors.affiliation: Population-based Epidemiologic Cohorts Unit, INSERM, Villejuif, France Paris Descartes University, Paris, France.
authors.forename: Marcel
authors.initials: M
authors.lastname: Goldberg
authors.affiliation: INSERM U1061, Hôpital La Colombière, Montpellier, France Montpellier University, Montpellier France.
authors.forename: Claudine
authors.initials: C
authors.lastname: Berr
mesh_terms: D000368:Aged; D000375:Aging / Q000523:psychology*; D003071:Cognition; D060825:Cognitive Dysfunction / Q000523:psychology*; D015331:Cohort Studies; D005260:Female; D005602:France; D006801:Humans; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests; D009784:Occupational Diseases / Q000523:psychology; D012044:Regression Analysis; D012179:Retirement; D012307:Risk Factors; D012923:Social Class; D013315:Stress, Psychological; D011795:Surveys and Questionnaires; D014937:Work / Q000523:psychology*; D016526:Workload / Q000523:psychology*; D017132:Workplace / Q000523:psychology*