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

Fesharaki, Mohammad Gholami; Kazemnejad, Anoshirvan; Zayeri, Farid; Sanati, Javad; Akbari, Hamed

doi:10.5812/ircmj.10930

Cited by 9 publications

(4 citation statements)

References 36 publications

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“…For example, Gholami et al reported that the BMI of shift workers was less than day workers while in similar studies, shift workers were found to be more obese than day workers. They reviewed the process of hiring workers and stated that healthier people were recruited more for shift work than day work ( 32 ).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the Effect of Shift Work on Serum Cholesterol and Triglyceride Levels

Akbari¹,

Mirzaei²,

Nasrabadi³

et al. 2015

Iran Red Crescent Med J

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Background:Working outside daylight hours (7 am to 7 pm) is called shift work. Shift work is a common practice in many industries and factories such as steel industries, petroleum industries, power plants, and in some services such as medicine and nursing and police forces, in which professionals provide services during day and night.Objectives:Considering the contradictory reports of different studies, we decided to evaluate the effect of shift work on cholesterol and triglyceride (TG) levels through a historical cohort on steel industry workers.Patients and Methods:This retrospective cohort study was performed on all the staff of Isfahan’s Mobarakeh Steel Company between years 2002 and 2011. There were 5773 participants in this study. Data were collected from the medical records of the staff using the census method. For analysis of data, generalized estimating equation (GEE) regression was used.Results:The results showed a significant difference in cholesterol levels between shift workers and day workers on the first observation (P < 0.001), yet no such difference was observed for TG (P = 0.853). Moreover, the results showed that the variables of age, work experience and BMI were not similar between shift workers and day workers. Therefore, to remove the effect of such variables, we used GEE regression. Despite the borderline difference of cholesterol between regular shift workers and day workers, this correlation was not statistically significant (P = 0.051). The results for TG also showed no correlation with shift work.Conclusions:According to the findings of this study, there is no relationship between shift work and changes in serum TG and cholesterol. The lack of relationship can be due to shift plans for shift workers, nutrition, or the “Healthy Heart project” at Isfahan Mobarakeh Steel Company.

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Section: Discussionmentioning

confidence: 99%

Evaluation of the Effect of Shift Work on Serum Cholesterol and Triglyceride Levels

Akbari¹,

Mirzaei²,

Nasrabadi³

et al. 2015

Iran Red Crescent Med J

Self Cite

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“…Therefore, to model and estimate the number of deaths in the absence of COVID-19 pandemic, the multilevel Poisson model was applied. Lower type one error and higher efficiency are two advantages of multilevel models in comparison with conventional models in the comparison of correlated data (9).…”

Section: Discussionmentioning

confidence: 99%

Geographic Distribution of Excess Mortality Rate duo to COVID-19 in Iranian Population: An Ecological Study

2021

ircmj

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Introduction: COVID-19 has raised world concern since it emerged in Wuhan, China in December 2019. The direct and indirect death rates in the world and in Iran have increased significantly after the occurrence of this pandemic in the world. Objective: In this study EMR estimated by Multilevel Poison Regression then this estimation compared to the historical trends, to obtain total death related to the COVID-19 in addtion the geographic distribution of EMR has been presented for Iran country. Materials and Methods: All-cause mortality count of each province of Iran from March 21, 2013 to June 20, 2020 downloaded from National Organizationfor Civil Registration (NOCR). The data from spring of 2020 (March 20, 2020 to June 20, 2020) remove from data and then the multilevel poison model has been used to estimate all-cause mortality in spring 2020 then excess mortality attributable to COVID-19 (the difference between the numberof registered and expected deaths) has been calculated. Results: The results of this study showed that Iran’s EMR in spring 2020 was 23% (Male=25%, Female=21%). More result also showed that four category low (EMR≤5%, n=3), moderate (5 %< EMR<20%, n=10), high (20 %< EMR<40%, n=16) and very high (40≤EMR, n=2) EMR. Conclusion: Due to the diverse EMR in different provinces of Iran, the type of management of provinces with low and moderate EMR can be used as a suitable model to control EMR in provinces with high and very high EMR.

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“…Chi-square test, NOVA, Kruskal-Wallis test and Bayesian multilevel modeling with skew t-distribution is used to find out any relationship between SW and BP adjusted for age, work experience, marital status and education. Prior distributions and statistical methodology were discussed in works Gholami et al 18 in this paper, P < 0.05 were considered statistically significant.…”

Section: Methodsmentioning

confidence: 99%

Historical cohort study of shift work and blood pressure

Fesharaki

Anoushiravan

Zayeri

et al. 2014

Occupational Medicine

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No significant association between SW and BP was observed among these three groups (day workers, weekly rotating shift workers and routinely rotating shift workers). Prospective studies, which control for confounding factors, such as the healthy worker effect, occupational history, family history and psychological factors (e.g. occupational stress and job satisfaction), are required to evaluate this further.

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

Cited by 9 publications

References 36 publications

Evaluation of the Effect of Shift Work on Serum Cholesterol and Triglyceride Levels

Evaluation of the Effect of Shift Work on Serum Cholesterol and Triglyceride Levels

Geographic Distribution of Excess Mortality Rate duo to COVID-19 in Iranian Population: An Ecological Study

Historical cohort study of shift work and blood pressure

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