title: Assessing the relationship between chronic health conditions and productivity loss trajectories.
abstract: OBJECTIVE
  To examine the relationship between health conditions and the risk for membership in longitudinal trajectories of productivity loss.
  
  
  METHODS
  Trajectories of productivity loss from the ages of 25 to 44 years, previously identified in the National Longitudinal Survey of Youth (NLSY79), were combined with information on health conditions from the age 40 years health module in the NLSY79. Multinomial logistic regression was used to examine the relative risk of being in the low-risk, early-onset increasing risk, late-onset increasing risk, or high-risk trajectories compared with the no-risk trajectory for having various health conditions.
  
  
  RESULTS
  The trajectories with the greatest probability of productivity loss longitudinally had a greater prevalence of the individual health conditions and a greater total number of health conditions experienced.
  
  
  CONCLUSIONS
  Health conditions are associated with specific longitudinal patterns of experiencing productivity loss.
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: Pranksy
mesh_terms: D000328:Adult; D000342:Affective Symptoms / Q000453:epidemiology; D017668:Age of Onset; D001249:Asthma / Q000453:epidemiology; D002908:Chronic Disease / Q000453:epidemiology*; D004526:Efficiency; D005128:Eye Diseases / Q000453:epidemiology; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D009140:Musculoskeletal Diseases / Q000453:epidemiology; D009369:Neoplasms / Q000453:epidemiology*; D009765:Obesity / Q000453:epidemiology; D016272:Occupational Health; D015995:Prevalence; D018570:Risk Assessment; D012893:Sleep Wake Disorders / Q000453:epidemiology