title: Assessment of health level and socio-economic characteristics of people working in the shipbuilding industry: a control group study.
abstract: BACKGROUND
  The health level of the population and the way people perceive it has been associated with their physical and mental health, as well as with their social and occupational characteristics.
  
  
  OBJECTIVE
  The comparative assessment of mental and health level in shipbuilding industry workers and general population and its relationship to social and economic parameters.
  
  
  METHODS
  A group of one hundred men working in the shipbuilding industry aged 51.8±8.2 years old and a control group of one hundred men of the general population aged 51.1±6.4 were studied. All participants completed the General Health Questionnaire - 28 and Fagerstrom test and a form with demographic, occupational and economic status characteristics. The statistical software SPSS 17.0 was used for data analysis.
  
  
  RESULTS
  Twenty-six percent of the general population and 47% of men working in the shipbuilding industry assessed their health as moderate/poor. Higher median values of anxiety and depressive symptomatology were observed in individuals characterizing their health as moderate/poor (p<0.001), their work as physically too demanding and in individuals with high dependency on smoking (p<0.05). With regard to the parameter of physical complaints, people working in the shipbuilding industry, non-active employees and those with comorbidities were found more burdened in relation to the general population (p<0.05). Depressive disorders were more common in those stating that their economic situation had been significantly deteriorated and in individuals with chronic diseases, which also showed reduced social functioning (p<0.05).
  
  
  CONCLUSIONS
  Health level and its individual dimensions are both associated with health self-assessment and occupational and economic status. The coexistence of chronic diseases and smoking dependence affects emotion and social functioning of individuals.
authors.affiliation: . gjhs@ccsenet.org.
authors.forename: Agoritsa
authors.initials: A
authors.lastname: Koulouri
authors.forename: Zoe
authors.initials: Z
authors.lastname: Roupa
authors.forename: Pavlos
authors.initials: P
authors.lastname: Sarafis
authors.forename: Chryssi
authors.initials: C
authors.lastname: Hatzoglou
authors.forename: Konstantinos
authors.initials: K
authors.lastname: Gourgoulianis
mesh_terms: D000704:Analysis of Variance; D002908:Chronic Disease; D003866:Depressive Disorder / Q000453:epidemiology*; D004651:Employment / Q000191:economics / Q000706:statistics & numerical data*; D006115:Greece; D006304:Health Status; D006801:Humans; D007221:Industry / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D009784:Occupational Diseases / Q000453:epidemiology*; D015203:Reproducibility of Results; D012307:Risk Factors; D012647:Self-Assessment; D012680:Sensitivity and Specificity; D012767:Ships; D012907:Smoking / Q000453:epidemiology; D012919:Social Behavior; D012923:Social Class; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D016526:Workload / Q000706:statistics & numerical data