Prediction of risk of coronary artery disease based on the Framingham risk score in association with shift work among nurses

Objectives. This study aimed to determine the prediction of risk of coronary artery disease (CAD) based on the Framingham risk score (FRS) in association with shift work among nurses.Methods. This cross-sectional and descriptive-analytic study was conducted with nurses working in three hospitals located in Abadan, southwest Iran. The sample size was 120 participants, divided into 60 shift workers and 60 day workers (non-shift workers). Demographic data and medical and occupational history were collected through a checklist and interviews. CAD risk assessment tools used to estimate the 10-year cardiovascular disease (CVD) risk included the FRS. Data were analysed by Mann-Whitney U test, χ² test and one-way analysis of variance (ANOVA) using SPSS version 22.0.Results. There were statistically significant differences between blood pressure (BP), total cholesterol (TC), body mass index (BMI) and shift work (p ≤ 0.001). There was a statistically significant difference between prevalence of CAD risk and shift work based on the FRS (p = 0.04).Conclusion. The study findings showed that shift work is a risk factor for CAD disturbances. Therefore, particular follow-up of shift workers should be recommended for screening and preventing CAD.

The relationship between rotating shift work and blood pressure among nurses working in hospitals of Abadan, Iran

Hypertension is a major risk factor for developing cardiovascular disease. Various factors such as occupational and environmental risk factors affect blood pressure. Shift work is considered to be an occupational stressor. The aim of this study was to determine the relationship between rotating shift work and blood pressure among nurses working in hospitals associated with faculty of medical science. This cross-sectional and descriptive-analytic study was conducted on nurses who worked in three hospitals associated with faculty of medical science, located in Abadan, southwest of Iran from September until December 2019. The sample size was 120 participants and divided into 60 rotating shift workers and 60 day workers (non-shift workers). The nurses were selected through the stratified random sampling technique. Demographic data, smoking status, and medical and occupational history were collected through a check list and interviews. Blood pressure was measured using a digital sphygmomanometer. Data were analyzed by the Mann-Whitney U, chi-square, Pearson's correlation coefficient and logistic regression by using SPSS software version 22. There was statistically significant difference in blood pressure between day workers and rotating shift workers (p ≤ 0.001). By logistic regression analyses, and even after adjusting for confounding variables, rotating shift work was associated with a higher prevalence of hypertension (OR: 1.76 [95%CI: 1.11-2.80]). The findings of this study showed that rotating shift workers have a higher incidence of hypertension than day workers. Therefore, a particular follow-up of rotating shift workers should be recommended to screen workers for hypertension.