Modeling of arterial hypertension’s risk in occupational groups

Aim – Evaluate the influence of work environment on the risk of arterial hypertension (AH) development in employees of various social groups. Material and Methods – 3664 employees of Siberian industrial enterprises and office workers were examined. Apart from occupation AH predictors were considered to be gender, age, Quetlet index, smoking, alcohol abuse, marital status and education. Classification trees were used as a method of predicting AH presence or absence. Results – A classification tree allowing 75% prediction of AH presence/ absence was obtained. Quetlet index (100), age (83) and occupation (63) were maximum significant predictors for classification. A structure of the classification tree changed in different age groups and; moreover, with similar prediction level the predictor significance differed greatly. In middle-aged population occupation along with Quetlet index was characterized by higher significance (89) while in elderly subjects the significance of occupation decreased (55) and the significance of education and marital status rose (60 and 34, respectively). Different AH prevalence was observed in the occupational groups with similar working conditions. Conclusion – Quetlet index, age and occupation are highly significant for AH prediction in working age population. Occupation is very significant for AH prediction in middle-aged patients. Other factors under study do not usually influence AH development much, though, with ageing their role gets more important.