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Supplemental material, sj-pdf-1-lfn-10.1177_1461348420945818 for Effect of personality traits on sensitivity, annoyance and loudness perception of low- and high-frequency noise by Milad Abbasi, Mohammad Osman Tokhi, Mohsen Falahati, Saeid Yazdanirad, Maryam Ghaljahi, Siavash Etemadinezhad and Roghayeh Jaffari Talaar Poshti in Journal of Low Frequency Noise, Vibration and Active Control

Background: Work ability of nurses is an index of their job satisfaction and is a crucial factor in job quality and security. This study aimed to investigate the association between work ability and quality of working life and to determine the effective demographic and background variables, among nurses. Methods: The present study was conducted among nurses, working in educational hospitals under the supervision of Tehran University of Medical Sciences in 2014. Work Ability Index (WAI) and Work-related Quality of Life (WRQoL) were used. Results: The mean WAI was significantly associated with total WRQoL score and the two of its sub-items including Stress at Work, and General Well-Being (P-value=0.001). Moreover, the results showed a significant correlation between total WRQoL and WAI Subscales including mental resources (P-value=0.001), number of current diseases (P-value=0.02), and work ability in relation to the job demands (P-value=0.04). The WRQoL and WAI showed significant associations with age and job experience (P-value=0.001). The average score of WAI and WRQoL was statistically different among various working units (P-value=0.001). Conclusion: Overall, results support the association between nurses work ability and WRQoL. Monitoring the WRQoL and work ability of employees would help organizations to know their status and take measures to ameliorate the working conditions.

Introduction: Chronic occupational noise exposure may constitute a risk factor for cardiovascular disease for workers. The aim of this study was to investigate the relationship between occupational noise exposure and noise annoyance with blood pressure, serum cholesterol and triglyceride levels in workers of a textile industry. Material and Method: This cross-sectional study was carried out among 220 employees of Savadkouh textile industry complex in Mazandaran province, Iran in 2017. To achieve the study objectives, the 8 -hour equivalent sound exposure level was measured and the cumulative noise exposure was calculated. Based on noise exposure level, workers were divided into control and case groups. Then, blood pressure was measured and blood samples were collected from each individual for determination of the serum cholesterol and triglyceride levels and they were transfered to the laboratory for further analysis. The noise annoyance scale and socio-demographic questionnaire were used to collect noise annoyance and other background and demographic information, respectively. Finally, Paired t-test, one-way ANOVA and multivariate regression were used to study the relationship between variables using SPSS Version 20. Result: In total, 159 workers participated in this study considering the inclusion and exclusion criteria. Eighty-three participants were exposed to more than or equal to 85 dBA, and 76 person were exposed to less than 85 dBA noise level, respectively. The results showed that mean blood pressure and cholesterol were significantly different between the control and case groups (P-value< 0.05). Based on multivariate regression results, noise exposure, cumulative noise exposure (CNE) and noise annoyance had a significant effect on blood pressure (P-value< 0.001). Cholesterol was also significantly affected by noise exposure and noise annoyance (P-value< 0.005). Conclusion: Based on the results of current study, noise can be considered as a risk factor for cardiovascular disease ampong workers. Actually, high intensity noise affect serum cholesterol and blood pressure directly, and may do indirectly by causing noise annoyance which acts as a mediator. Therefore, it seems necessary to conduct a controlled cohort study to investigating the interactions among whole variables of interest.