ArticleIranian Red Crescent medical journal2013
Historical cohort study on the factors affecting blood pressure in workers of polyacryl iran corporation using bayesian multilevel modeling with skew T distribution.
Article in Iranian Red Crescent medical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 13 citations in OpenAlex.
- The relationship between shift work and Framingham risk score: A five-year prospective cohort study.ARYA atherosclerosis · 2017Article
- Job Stress and Related Factors Among Iranian Male Staff Using a Path Analysis Model.Iranian Red Crescent medical journal · 2016Article
- Evaluation of the effect of shift work on serum cholesterol and triglyceride levels.Iranian Red Crescent medical journal · 2015Article
- Multicenter historical cohort study of the relationship between shift work and blood pressure.ARYA atherosclerosis · 2014Article
- Resolving Vitamin D Deficiency in the Preconception Period among High-Risk Reproductive Women: A Randomized Controlled Trial.Iranian Red Crescent medical journal · 2014Article
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Authors and funding
5 authors at 3 institutions in 1 country.
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Abstract
backgroundHypertension 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.
objectivesThe purpose of the present study was to study factors affecting Blood Pressure (BP). PATIENTS AND
methodsThe 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.
resultsTotally 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.
conclusionsTreating obesity, increasing physical activity and quality of married life are proposed as practical solutions to reduce BP.
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