Showing 5 results for Gholami Fesharaki
M Gholami Fesharaki , A Kazemnejad, F Zayeri, J Sanati, H Akbari,
Volume 8, Issue 4 (9 2013)
Abstract
Background and Objectives: Since there is inconsistency reports in relationship between shift work (SW) and blood pressure (BP), therefore we aimed to show any association between SW and BP by using of Bayesian Multilevel Modeling, which is a reliable method for this type of analysis.
Methods: The profiles of 4145 workers in Polydactyl Iran Corporation were examined in historical cohort between 1996 until 2008. All relevant analysis was performed by Win Bugs software.
Results: Approximately 98 percent of study population was male. Of total 1886 (45.5%), 307(7.4%), 1952 (47.1%) of participation were day worker, two rotation shift worker and three rotation shift worker respectively. After controlling confounding factors, there was no significant relationship with Systolic BP (P=0.911) and Diastolic BP (P=0.278).
Conclusion: In general, the results of our historical cohort study do not support a relationship between SW and BP. We suggest multi center and prospective cohort studies with controlling more confounding factors in this area.
F Rahmati Najarkolaei, E Ghaffarpasand, M Gholami Fesharaki ,
Volume 10, Issue 2 (Vol 10, No 2 2014)
Abstract
Background and Objectives: Nowadays 60% of deaths and 47% of diseases load worldwide caused by chronic diseases. Considering the different results of the conducted studies, the current study was performed to review the effect of life style educational intervention on improving cardiovascular risk factors.
Methods: In this review, English and Persian databases were investigated. All types of studies were included. There was no time limit. The articles in any other languages but English (except for Persian), and also abstracts presented in international congresses and meetings were excluded. Other studies were included if they had an acceptable JADAD score.
Results: During the primary search, 194 articles were found which through investigations 43 articles were finally included. The articles were published from 1989 to 2013. There were 3 domestic papers. Only two articles (4.65%) did not show any improvement in the risk factors while the others suggested significant improvements in the risk factors following educational intervention.
Conclusion: Considering the general findings of the reviewed articles, it seems that the majority of the articles confirmed the effect of lifestyle education on cardiovascular risk factors- blood cholesterol, systolic and diastolic blood pressure, and cigarette smoking along with knowledge and attitude in high risk patients. The finding shows the necessity of “lifestyle” educational intervention in patients at risk for cardiovascular events.
M Gholami Fesharaki , A Kazemnejad , F Zayeri , M Rowzati, H Akbari,
Volume 10, Issue 4 (Vol 10, No 4 2015)
Abstract
Background and Objectives : Previous studies have reported contradictory results regarding the association of Shift Work (SW) and Blood Cholesterol (BC). In this paper, we studied the relationship between SW and BC.
Methods: The data of this historical cohort study was extracted from annual observations of the workers of Esfahan’s Mobarakeh Steel Company selected through cluster random sampling between 1996 and 2011. In this research, we assessed the effect of SW on BC with controlling BMI, age, work experience, marital status, smoking, and educational status.
Results : Five hundered and seventy four male workers participated in this study with a mean (SD) age of 41.89 (7.51) and mean (SD) work experience of 16.75 (7.16) years. In this study, after controlling confounding factors, we found no significant relationship between SW and BC.
Conclusion: Because our study showed no relationship between SW and BC, we can state that this relationship does not exist with more certainty.
M Amini, A Kazemnejad, F Zayeri , M Gholami Fesharaki,
Volume 13, Issue 4 (VOl 13, No.4, Winter 2018)
Abstract
Background and Objectives: Shift work could threaten health in the long term. The present research aimed to assess the association between shift work and body mass index (BMI) using the multilevel (hierarchical) model during a particular period of time.
Methods: The data of this longitudinal study were collected from a sample of Esfahan’s Mobarakeh steel and Polyacryl companies personnel during 2008 to 2011. Shift work schedule included day work and rotational shift work. The multilevel regression model was utilized for analysing the data and assessing the effect of shift work on BMI by controlling confounding variables including marital status, work expectation, age, company, and educational level.
Results: In this study, of 1368 workers, 42.3% (n=578) and 57.7% (n=790) were day workers and rotating shift workers, respectively. The mean (±SD) age of the day workers and rotating shift workers was 33.07 (±8.66) years and 33.31 (±8.70) years, respectively. After adjusting for confounding variables in a two-level hierarchical model, the association between shift work and BMI was not statistically significant (P=0.837). About 90% of total variation was related to personnel.
Conclusion: According to the results of the present study, no statistically significant relationship was found between shift work schedule and BMI. Thus, other similar studies with a longer follow up period (more than four years) and controlling more confounder factors are necessary to evaluate the relationship between shift work and BMI more accurately.
N Rabiei, M Gholami Fesharaki , M Rowzati,
Volume 14, Issue 3 (Vol.14, No.3, 2018)
Abstract
Background and Objectives: The Cox model is one of the methods used in survival data; however, the use of hierarchical data, such as the data of this study, violates the assumption of independence, the the Cox model cannot be used assuming independence of observations. One of the important methods for analyzing survival hierarchy data is the use of the multilevel Cox model. In this method, in addition to modeling the response variable, regression coefficients are also modeled and the measurement error resulting from the lack of data independence is reduced. The present study used a multilevel Cox model to investigate the effect of the retention of antihypertensive drugs in people with hypertension.
Methods: This longitudinal survival study was conducted in 346 workers with hypertension in Mobarakeh Steel Company in Isfahan. During the years 1390-1394, when the staff attended the health center in the factory, they were treated with six drugs, including captopril, losartan, atenolol, propranolol, amlodipine, and hydrochlorothiazide. In order to examine the relationship of the retention of drugs with job experience, body mass index, and drug history, a two-level Cox model was used as h_ij (t)=h_0 (t)exp(α_g+x_ij β_j), where i and j is the first and second level units, respectively.
Results: During five years, the findings of model fitting showed the effect of body mass index (P = 0.019), atenolol (P=0.046), and amlodipine (P=0.021) in a single form, and the effect of losartan-amlodipine ¬(P=0.042) and atenolol-hydrochlorothiazide (P = 0.003) in a combination form were significant.
Conclusion: Based on the study results, the most effective drugs for hypertension control are amlodipine monotherapy, amlodipine-losartan combination therapy, and atenolol monotherapy, respectively.
