title: [Self-employed and small business owners diagnosed with cancer: effect on entrepreneurial survival].
abstract: OBJECTIVE
  When self-employed andsmall business owners are diagnosed with cancer what is the effect on their small-firm survival duration?
  
  
  METHODS
  Data Sources: secondary data for 3,587 subjects, 18-65 years, working when diagnosed with cancer in 1995-2009 and a comparison group of 27,688 subjects matched for gender, age and occupation. Study design: a comprehensive population-based longitudinal study. A Cox model described time to failures of small businesses and terminations ofself-employment. Data Collection Methods: extraction from the statutory mandatory self-employed social security scheme database.
  
  
  RESULTS
  Findings were that age, cancer prognosis and very intense physical workload occupation were independent predictors of enterprise failure for cancer-exposed subjects. Compared with unexposed subjects, their global hazard ratio was 1.59 (95% CI = 1.50 - 1.70). However, the difference atfiveyears after cancer diagnosis became non-significant: hazard ratio 1.11 (95% CI = 0.95 - 1.30).
  
  
  CONCLUSIONS
  These findings demonstrate that beyond 5 years of maintenance of activity, the economic cost of cancer supported by very small businesses and self-employed is not important. However, support is required to pass through these first 5 years. The authors describe the various possible aids that could be implemented.
authors.forename: Philippe
authors.initials: P
authors.lastname: Ha-Vinh
authors.forename: Pierre
authors.initials: P
authors.lastname: Régnard
authors.forename: Laetitia
authors.initials: L
authors.lastname: Huiart
authors.forename: Laurent
authors.initials: L
authors.lastname: Sauze
authors.forename: François
authors.initials: F
authors.lastname: Eisinger
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001294:Attitude to Health; D016022:Case-Control Studies; D004651:Employment / Q000706:statistics & numerical data; D016520:Entrepreneurship; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000175:diagnosis / Q000453:epidemiology / Q000628:therapy*; D010067:Ownership; D058012:Small Business / Q000706:statistics & numerical data; D000078329:Workforce; D055815:Young Adult