ARTERIAL HYPERTENSION PREDICTORS AND OCCUPATION

Aim. To analyse the association between occupation and the prevalence of arterial hypertension (AH) or AH risk factors in a working-age population. Material and methods. The study included 3664 working residents of Kemerovo Region, representing 18 occupational groups. AH risk factors included gender...

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Main Authors: G. V. Artamonova, S. A. Maximov, M. Yu. Ogarkov, S. A. Makarov, A. E. Skripchenko, E. V. Indukaeva, E. B. Shapovalova, M. Yu. Yankin, T. A. Mulerova, N. N. Kozyreva
Format: Article
Language:Russian
Published: «FIRMA «SILICEA» LLC 2012-06-01
Series:Российский кардиологический журнал
Subjects:
Online Access:https://russjcardiol.elpub.ru/jour/article/view/1230
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author G. V. Artamonova
S. A. Maximov
M. Yu. Ogarkov
S. A. Makarov
A. E. Skripchenko
E. V. Indukaeva
E. B. Shapovalova
M. Yu. Yankin
T. A. Mulerova
N. N. Kozyreva
author_facet G. V. Artamonova
S. A. Maximov
M. Yu. Ogarkov
S. A. Makarov
A. E. Skripchenko
E. V. Indukaeva
E. B. Shapovalova
M. Yu. Yankin
T. A. Mulerova
N. N. Kozyreva
author_sort G. V. Artamonova
collection DOAJ
description Aim. To analyse the association between occupation and the prevalence of arterial hypertension (AH) or AH risk factors in a working-age population. Material and methods. The study included 3664 working residents of Kemerovo Region, representing 18 occupational groups. AH risk factors included gender, age, body mass index (BMI), education, marital status, smoking, and hazardous alcohol consumption. Decision tree models were used as a method of classification and prognosis. Results. In decision tree models, assessed predictors correctly confirmed the diagnosis of AH or its absence in 75,2% participants. The most important predictors were BMI, age, and occupation (100, 83, and 63 units, respectively). Occupation also influenced the prognostic value of other predictors. Conclusion. Occupation should be regarded not only as an important predictor of AH, but also as an effect modifier for other predictors, such as age, BMI, or marital status. This should be taken into account when performing the complex assessment of AH risk across working population groups.
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spelling doaj.art-f3c3488fd1b548d3b181974d9ce3e0812023-03-29T21:23:19Zrus«FIRMA «SILICEA» LLCРоссийский кардиологический журнал1560-40712618-76202012-06-010362671032ARTERIAL HYPERTENSION PREDICTORS AND OCCUPATIONG. V. Artamonova0S. A. Maximov1M. Yu. Ogarkov2S. A. Makarov3A. E. Skripchenko4E. V. Indukaeva5E. B. Shapovalova6M. Yu. Yankin7T. A. Mulerova8N. N. Kozyreva9Research Institute of Complex Cardiovascular Problems, Siberian Branch, Russian Academy of Medical Sciences, KemerovoResearch Institute of Complex Cardiovascular Problems, Siberian Branch, Russian Academy of Medical Sciences, KemerovoResearch Institute of Complex Cardiovascular Problems, Siberian Branch, Russian Academy of Medical Sciences, KemerovoResearch Institute of Complex Cardiovascular Problems, Siberian Branch, Russian Academy of Medical Sciences, KemerovoResearch Institute of Complex Cardiovascular Problems, Siberian Branch, Russian Academy of Medical Sciences, KemerovoResearch Institute of Complex Cardiovascular Problems, Siberian Branch, Russian Academy of Medical Sciences, KemerovoResearch Institute of Complex Cardiovascular Problems, Siberian Branch, Russian Academy of Medical Sciences, KemerovoResearch Institute of Complex Cardiovascular Problems, Siberian Branch, Russian Academy of Medical Sciences, KemerovoResearch Institute of Complex Cardiovascular Problems, Siberian Branch, Russian Academy of Medical Sciences, KemerovoResearch Institute of Complex Cardiovascular Problems, Siberian Branch, Russian Academy of Medical Sciences, KemerovoAim. To analyse the association between occupation and the prevalence of arterial hypertension (AH) or AH risk factors in a working-age population. Material and methods. The study included 3664 working residents of Kemerovo Region, representing 18 occupational groups. AH risk factors included gender, age, body mass index (BMI), education, marital status, smoking, and hazardous alcohol consumption. Decision tree models were used as a method of classification and prognosis. Results. In decision tree models, assessed predictors correctly confirmed the diagnosis of AH or its absence in 75,2% participants. The most important predictors were BMI, age, and occupation (100, 83, and 63 units, respectively). Occupation also influenced the prognostic value of other predictors. Conclusion. Occupation should be regarded not only as an important predictor of AH, but also as an effect modifier for other predictors, such as age, BMI, or marital status. This should be taken into account when performing the complex assessment of AH risk across working population groups.https://russjcardiol.elpub.ru/jour/article/view/1230arterial hypertensionoccupationrisk factorsprognostic methods
spellingShingle G. V. Artamonova
S. A. Maximov
M. Yu. Ogarkov
S. A. Makarov
A. E. Skripchenko
E. V. Indukaeva
E. B. Shapovalova
M. Yu. Yankin
T. A. Mulerova
N. N. Kozyreva
ARTERIAL HYPERTENSION PREDICTORS AND OCCUPATION
Российский кардиологический журнал
arterial hypertension
occupation
risk factors
prognostic methods
title ARTERIAL HYPERTENSION PREDICTORS AND OCCUPATION
title_full ARTERIAL HYPERTENSION PREDICTORS AND OCCUPATION
title_fullStr ARTERIAL HYPERTENSION PREDICTORS AND OCCUPATION
title_full_unstemmed ARTERIAL HYPERTENSION PREDICTORS AND OCCUPATION
title_short ARTERIAL HYPERTENSION PREDICTORS AND OCCUPATION
title_sort arterial hypertension predictors and occupation
topic arterial hypertension
occupation
risk factors
prognostic methods
url https://russjcardiol.elpub.ru/jour/article/view/1230
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AT myuogarkov arterialhypertensionpredictorsandoccupation
AT samakarov arterialhypertensionpredictorsandoccupation
AT aeskripchenko arterialhypertensionpredictorsandoccupation
AT evindukaeva arterialhypertensionpredictorsandoccupation
AT ebshapovalova arterialhypertensionpredictorsandoccupation
AT myuyankin arterialhypertensionpredictorsandoccupation
AT tamulerova arterialhypertensionpredictorsandoccupation
AT nnkozyreva arterialhypertensionpredictorsandoccupation