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...

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Main Authors: Sergey A. Maksimov, Galina V. Artamonova
Format: Article
Language:English
Published: Limited liability company «Science and Innovations» (Saratov) 2013-02-01
Series:Russian Open Medical Journal
Subjects:
Online Access:http://www.romj.org/node/59
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spelling doaj-dedc4077247b4e21923182d221f055e72021-10-06T12:15:47ZengLimited liability company «Science and Innovations» (Saratov)Russian Open Medical Journal2304-34152013-02-01210104Modeling of arterial hypertension’s risk in occupational groupsSergey A. MaksimovGalina V. ArtamonovaAim – 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.http://www.romj.org/node/59arterial hypertensionoccupational healthmodelling
collection DOAJ
language English
format Article
sources DOAJ
author Sergey A. Maksimov
Galina V. Artamonova
spellingShingle Sergey A. Maksimov
Galina V. Artamonova
Modeling of arterial hypertension’s risk in occupational groups
Russian Open Medical Journal
arterial hypertension
occupational health
modelling
author_facet Sergey A. Maksimov
Galina V. Artamonova
author_sort Sergey A. Maksimov
title Modeling of arterial hypertension’s risk in occupational groups
title_short Modeling of arterial hypertension’s risk in occupational groups
title_full Modeling of arterial hypertension’s risk in occupational groups
title_fullStr Modeling of arterial hypertension’s risk in occupational groups
title_full_unstemmed Modeling of arterial hypertension’s risk in occupational groups
title_sort modeling of arterial hypertension’s risk in occupational groups
publisher Limited liability company «Science and Innovations» (Saratov)
series Russian Open Medical Journal
issn 2304-3415
publishDate 2013-02-01
description 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.
topic arterial hypertension
occupational health
modelling
url http://www.romj.org/node/59
work_keys_str_mv AT sergeyamaksimov modelingofarterialhypertensionsriskinoccupationalgroups
AT galinavartamonova modelingofarterialhypertensionsriskinoccupationalgroups
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