title: Determinants of self-rated health of a working population.
abstract: BACKGROUND
  Self-rated health relates to the use of medical help and, as a consequence, determines sick leave in the population of employees. The aim of the study was to analyze the relationship between socioeconomic variables, selected forms of positive health behaviour and subjective evaluation of health in employees.
  
  
  METHODS
  Five hundred and 99 subjects were included in the study - 331 females and 268 males, aged 18-67, working in the area of the Świętokrzyskie province. The authors' survey questionnaire on the selected elements of the state of health and positive health behavior in life style has been used in the study. Anthropometric measures were carried out. A Chi2 test for independence was used in'the statistical analysis. In order to evaluate the effect of the selected factors on the self-rated health of the studied subjects theresearchers have applied single- and multiple-factor logistic regression.
  
  
  RESULTS
  In the multiple-factor logistic regression the features contributing to good or excellent self-rated health were the following: age up to 39 (odds ratio - OR = 4.17; 95% confidence interval - Cl: 1.72-10.10; p < 0.002), higher education (OR = 3.01; 95% CI: 1.04-8.70; p < 0.05) and care for health (OR= 4.77; 95% CI: 2.81-8.09; p < 0.001).
  
  
  CONCLUSIONS
  Working people with higher education are characterized by a better control over their own health and, consequently, by a better perception of it. Monitoring self-rated health in a working population is an invaluable indicator in the evaluation of health in employees and the need for medical care.
authors.forename: Marek
authors.initials: M
authors.lastname: Bryła
authors.forename: Monika
authors.initials: M
authors.lastname: Szymocha
authors.forename: Irena
authors.initials: I
authors.lastname: Maniecka-Bryła
mesh_terms: D000328:Adult; D005260:Female; D015438:Health Behavior; D006304:Health Status; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009784:Occupational Diseases / Q000175:diagnosis / Q000453:epidemiology*; D009790:Occupations / Q000706:statistics & numerical data*; D011044:Poland / Q000453:epidemiology; D015995:Prevalence; D011788:Quality of Life; D012647:Self-Assessment; D017678:Sex Distribution; D055815:Young Adult