Decio Mion, Angela M G Pierin, Alberto P Bambirra, Jorge H Assunção, Juliana M Monteiro, Roberta Y Chinen, Roger B Coser, Vânia N Aikawa, Fernanda M Cação, Mariana Hausen, Marcelo F Vilibor, Nádia E Aikawa, Sérgio N Konno, Roger B Coser
{"title":"Hypertension in employees of a University General Hospital.","authors":"Decio Mion, Angela M G Pierin, Alberto P Bambirra, Jorge H Assunção, Juliana M Monteiro, Roberta Y Chinen, Roger B Coser, Vânia N Aikawa, Fernanda M Cação, Mariana Hausen, Marcelo F Vilibor, Nádia E Aikawa, Sérgio N Konno, Roger B Coser","doi":"10.1590/S0041-87812004000600004","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To find out the prevalence of hypertension in employees of the Hospital and relate it to social demographic variables.</p><p><strong>Methods: </strong>Blood pressure measurement was performed with a mercury sphygmomanometer, using an appropriate cuff size for arm circumference, weight, and height in a population sample of 864 individuals out of the 9,905 employees of a University General Hospital stratified by gender, age, and job position.</p><p><strong>Results: </strong>Hypertension prevalence was 26% (62% of these reported being aware of their hypertension and 38% were unaware but had systolic/diastolic blood pressures of >140 and/or >90 mm Hg at the moment of the measurement). Of those who were aware of having hypertension, 51% were found to be hypertensive at the moment of the measurement. The prevalence was found to be 17%, 23%, and 29% (P <.05) in physicians, nursing staff, and \"others\", respectively. The univariate analysis showed a significant odds ratio for the male gender, age >50 years, work unit being the Institute of Radiology and the Administration Building, educational level <elementary school, length of work >10 years, and body mass index >30 kg/m2. The multivariate logistic regression model revealed a statistically significant association of hypertension with the following variables: gender, age, skin color, family income, and body mass index.</p><p><strong>Conclusions: </strong>Hypertension prevalence was high, mainly in those who were not physicians or members of the nursing staff. High-risk groups (obese, non-white, men, low family income) should be better advised of prevention and early diagnosis of hypertension by means of special programs.</p>","PeriodicalId":76453,"journal":{"name":"Revista do Hospital das Clinicas","volume":"59 6","pages":"329-36"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1590/S0041-87812004000600004","citationCount":"75","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista do Hospital das Clinicas","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/S0041-87812004000600004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2005/1/11 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 75
Abstract
Purpose: To find out the prevalence of hypertension in employees of the Hospital and relate it to social demographic variables.
Methods: Blood pressure measurement was performed with a mercury sphygmomanometer, using an appropriate cuff size for arm circumference, weight, and height in a population sample of 864 individuals out of the 9,905 employees of a University General Hospital stratified by gender, age, and job position.
Results: Hypertension prevalence was 26% (62% of these reported being aware of their hypertension and 38% were unaware but had systolic/diastolic blood pressures of >140 and/or >90 mm Hg at the moment of the measurement). Of those who were aware of having hypertension, 51% were found to be hypertensive at the moment of the measurement. The prevalence was found to be 17%, 23%, and 29% (P <.05) in physicians, nursing staff, and "others", respectively. The univariate analysis showed a significant odds ratio for the male gender, age >50 years, work unit being the Institute of Radiology and the Administration Building, educational level 10 years, and body mass index >30 kg/m2. The multivariate logistic regression model revealed a statistically significant association of hypertension with the following variables: gender, age, skin color, family income, and body mass index.
Conclusions: Hypertension prevalence was high, mainly in those who were not physicians or members of the nursing staff. High-risk groups (obese, non-white, men, low family income) should be better advised of prevention and early diagnosis of hypertension by means of special programs.