title: Examining the Relationship Between Productivity Loss Trajectories and Work Disability Outcomes Using the Panel Study of Income Dynamics.
abstract: OBJECTIVE
  To identify trajectories of productivity loss and examine the relationship between the trajectories and work disability outcomes.
  
  
  METHODS
  Latent class growth analysis of productivity loss was estimated for the ages of 25 to 44 years in the Panel Study of Income Dynamics (N = 4960). Differences among the trajectories for work disability outcomes for the ages of 25 to 64 years were estimated using logistic regression and analysis of variance.
  
  
  RESULTS
  A five-group trajectory model was identified with a no-risk, low-risk, high-risk, early-onset increasing risk, and late-onset increasing risk group. The likelihood of ever experiencing permanent disability or receiving Social Security Disability Insurance between the ages of 25 and 64 years differed across the trajectories with the early-onset and high-risk groups having the greatest likelihood and the no-risk trajectory having the lowest likelihood of work disability.
  
  
  CONCLUSIONS
  Productivity loss trajectories are highly related to work disability outcomes.
authors.affiliation: From the Liberty Mutual Research Institute for Safety, Center for Disability Research, Hopkinton, Mass.
authors.forename: Elyssa
authors.initials: E
authors.lastname: Besen
authors.forename: Glenn
authors.initials: G
authors.lastname: Pransky
mesh_terms: D000328:Adult; D017668:Age of Onset; D002908:Chronic Disease / Q000453:epidemiology; D004185:Disability Evaluation; D017598:Efficiency, Organizational / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care / Q000706:statistics & numerical data; D018570:Risk Assessment / Q000706:statistics & numerical data; D012943:Social Security / Q000706:statistics & numerical data; D013223:Statistics as Topic; D014481:United States