• Title of article

    Historical Cohort Study on the Factors Affecting Blood Pressure in Workers of Polyacryl Iran Corporation Using Bayesian Multilevel Modeling with Skew T Distribution

  • Author/Authors

    Gholami Fesharaki, Mohammad Biostatistics Department - Faculty of Medical Sciences - Tarbiat Modares University, Tehran, IR Iran , Kazemnejad, Anoshirvan Biostatistics Department - Faculty of Medical Sciences - Tarbiat Modares University, Tehran, IR Iran , Zayeri, Farid Proteomics Research Center - Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences, Tehran, IR Iran , Sanati, Javad Occupational Health Center - Polyacryle Company, Tehran, IR Iran , Akbari, Hamed Health Research Center - Baqiyatallah University of Medical Sciences, Tehran, IR Iran

  • Pages
    6
  • From page
    418
  • To page
    423
  • Abstract
    Background: Hypertension is considered as a major public health problem in most countries due to its association with ischemic heart disease which causes cerebrovascular disease and death. Objectives: The purpose of the present study was to study factors affecting Blood Pressure (BP). Patients and Methods: The data were extracted from annual observation of the workers who worked in Polyacryl Iran Corporation (PIC) between 1998 and 2010. In this research, we assessed the effect of Body Mass Index (BMI), age, sex, job status, marital status, job schedule type, and education level on Systolic Blood Pressure (SBP) and Diastolic Blood Pressure (DBP) using Bayesian multilevel modeling with skew t distribution using WinBUGS software. Results: Totally 3965 persons participated in this study, 75(1.9%) female and 3890 (98.1%) male. In this study age, sex, BMI, job status, marital status, and education level had statistical association with SBP. The result for DBP was similar to SBP except the education level which had no statistical association. Conclusions: Treating obesity, increasing physical activity and quality of married life are proposed as practical solutions to reduce BP.
  • Keywords
    Blood Pressure , Cohort Studies , Multilevel Analysis
  • Journal title
    Astroparticle Physics
  • Serial Year
    2013
  • Record number

    2422294