title: Incidence of work and non-work related disability claims in Brazil.
abstract: BACKGROUND
  Sickness benefit claims are an important economic burden to society. This study aims to determine the incidence of sickness benefit claims in Brazil in 2008, exploring the role of economic activity.
  
  
  METHODS
  Population-based study on sickness claims lasting longer than 15 days of sickness absence granted to private sector employees. Data on gender, age, economic activity, diagnosis, and work-relatedness were collected.
  
  
  RESULTS
  The annual incidence of sickness benefits was 421.8/10,000 jobs, 435.4 for males and 452.0 for females. There were 3.5 times more non-work-related than work-related claims. The main diagnoses were injuries, musculoskeletal disorders, and mental disorders. Rates increased with age up to 59 years. Economic activity 37-Sewage had the highest incidence of non-work-related and work-related claims.
  
  
  CONCLUSIONS
  The incidence of sickness benefits is higher among female and older workers. Economic activities show great variability of sickness benefit rates, work-relatedness, diagnostic categories, and gender.
authors.affiliation: University of Brasilia, Faculty of Health Sciences/Institute for Work & Health, Brasília, Brazil. anadergh@hotmail.com
authors.forename: Anadergh
authors.initials: A
authors.lastname: Barbosa-Branco
authors.forename: William R
authors.initials: WR
authors.lastname: Souza
authors.forename: Ivan A
authors.initials: IA
authors.lastname: Steenstra
mesh_terms: D000041:Absenteeism; D000328:Adult; D001938:Brazil / Q000453:epidemiology; D004185:Disability Evaluation; D005260:Female; D006304:Health Status; D006801:Humans; D015994:Incidence; D007342:Insurance Benefits / Q000706:statistics & numerical data*; D018868:Insurance, Disability / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D009784:Occupational Diseases / Q000191:economics / Q000453:epidemiology*; D016273:Occupational Exposure / Q000009:adverse effects*; D016272:Occupational Health / Q000191:economics / Q000706:statistics & numerical data*; D012307:Risk Factors; D012943:Social Security; D017132:Workplace; D055815:Young Adult