Showing 4 results for Shift Work
M Gholami Fesharaki , A Kazemnejad, F Zayeri, J Sanati, H Akbari,
Volume 8, Issue 4 (3-2013)
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.
M Gholami Fesharaki , A Kazemnejad , F Zayeri , M Rowzati, H Akbari,
Volume 10, Issue 4 (3-2015)
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.
F Zayeri, M Amini, H Hasanzadeh,
Volume 13, Issue 4 (3-2018)
Abstract
Background and Objectives: Shift work as a pervasive phenomenon in various industrial sectors is one of the most stressful factors in the workplace. Considering the contradictory reports on the relationship of shift work and hypertension, the main objective of the present study was to investigate the relationship between these two variables among petrochemical industry staff of Mahshahr, Iran.
Methods: In this longitudinal study, 3254 petrochemical staff were investigated during 2008-2011. According to work schedule, shift workers were divided into two groups of shift work and day work (1872 day workers and 1382 shift workers). The aim of this research was to assess the effect of shift work on hypertension by adjusting confounding variables such as gender, age, body mass index, and smoking. The data were analyzed using a random-effects logistic regression model.
Results: Of 3254 (3142 males and 112 females) subjects, 37.85% (860 subject) were hypertensive. The random effects model, with controlling covariates, showed no significant relationship between shift work and hypertension (OR=1.04, 95% CI= (0.98, 1.10). Moreover, the variance of the random effects was significant.
Conclusion: Generally, according to the results of this study, shift work is not a significant risk factor for hypertension.
M Amini, A Kazemnejad, F Zayeri , M Gholami Fesharaki,
Volume 13, Issue 4 (3-2018)
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.
