Background: Construction industry has been ranked among the most dangerous industries worldwide due to the high number of accidents. The safety climate can be considered as a stimulus to reduce unsafe behaviors and thus reduction the accidents. This study was carried out to investigate the relationship between the dimensions of the safety climate and unsafe behavior of the construction workers in Tehran, Iran. Methods: The present study is a descriptive cross-sectional research on 90 construction workers. Unsafe behaviors recorded using the American National Standards Institute method and interviews with the workers. The Safety Climate was measured using the UK health care Safety Climate Questionnaire. The descriptive statistics (mean and standard deviation) were used to summarize the findings and the Pearson’s correlation coefficient was used to show the relationship between the variables. The SPSS software was used to analyze the data. Results: The mean and standard deviation of safety climate score and unsafe behavior were (3.98+ 0.27) and (45.93 + 17.3), respectively. There was a significant relationship between unsafe behaviors and staff knowledge (r = -0.31 and P = 0.004). We also found relationship between unsafe behavior and safety climate score (r = -0.21 and P = 0.043). Conclusion: The employees' knowledge was one of the most important components of workplace safety. Also, this component assigned itself the highest score, and increasing the score in this dimension of the safety climate can lead to reduction unsafe behavior. Finally, according to the results, as the safety climate among employees increases, unsafe behaviors will decrease, and productivity would be increase.

Background: Due to the Covid-19 pandemic and the increase in anxiety in the community, this study aims to investigate the relationship between anxiety symptoms and demographic characteristics of administrative staff during the Covid-19 pandemic. Methods: We selected 193 Administrative staff in Qazvin to participate in a cross-sectional descriptive study, using a multi-stage sampling method. Data collection tools included a demographic information questionnaire and the Corona Disease Anxiety Scale (CDAS). Data were analyzed using SPSS software, independent t-test, ANOVA, and Pearson correlation coefficient. The significance level was considered to be 0.05. Results: The mean age of participants was 33.61±8.3. 62.6% were female and 75.2% were married. Anxiety score with a mean and standard deviation of 24.88±7.52 was evaluated to be moderate. There was a significant positive correlation between anxiety score and age (P= 0.007 and r= 0.267), and work experience (P= 0.003 and r= 0.313). Participants with a family member over the age of 65, or a member with a chronic illness, had significantly higher mean anxiety scores than other participants. Conclusion: Employees' anxiety in this study was assessed as moderate. To bring anxiety to a low level and increase the general health of individuals, it is suggested that managers and heads of departments consider programs to reduce the anxiety of employees. By reducing anxiety scores, they can increase the productivity of these people.

Background: This study was carried out aimed to investigate the effect of anxiety caused by Covid-19 on the quality of life of people working in the industrial sector. Methods: 212 people working in the industrial sector participated in a descriptive cross-sectional study using multi-stage random sampling. Data was collected using the Demographic Information Questionnaire, the Corona Disease Anxiety Scale (CDAS) and The World Health Organization Quality of Life–BREF (WHOQOL-BREF). SPSS statistical software version 24 was used for data analysis. The significance level of 0.05 is considered. Results: The mean age of participants was 33.27±6.6 years, 78.8% were male and 79.3% (168 people) were married. The mean scores of CDAS and WHOQOL-BREF were 11.60±8.2 and 64.66±10.8, respectively. The highest and lowest score of WHOQOL-BREF belonged to the dimensions of social relationships and mental health, respectively. There was a significant inverse correlation between CDAS and WHOQOL-BREF (P<0.001 and r = -0.656). Women had higher anxiety scores and lower quality of life than men. Individuals with a family member over 65 years of age or a member with a chronic illness had significantly higher mean anxiety scores and lower mean quality of life scores compared to other individuals. Conclusion: The results of this study show that the quality of life of employees in the industrial sector increases with reducing their anxiety. Therefore, it is recommended that factory managers take necessary measures to identify and eliminate the causes of anxiety to increase the quality of life and productivity of employees.

Background: Long-term computer use as an ergonomics risk factor can generate musculoskeletal disorders, especially in the neck. This study aimed to investigate the effect of a self-management exercises intervention on both neck pain, and head and neck angles among university employees in 2021. Materials & Methods: This experimental study was performed on 85 university staff (experimental group (N=42) and control group (N=43)) who were randomly selected based on inclusion criteria from the list of Qazvin University of Medical Sciences (Iran) employees. The experimental group did the exercises for 12 weeks with five 15-minute sessions per week. The severity of neck pain was determined using the Visual Analog Scale (VAS). Head and neck angles were measured at baseline and after 12 weeks using photogrammetry and Kinovea software in two postures (reading and typing). Results: About 60% of the participants in the experimental group reported moderate and severe neck pain, decreasing to 26.2% after the intervention. The score of neck pain intensity in the experimental group decreased in the range of 1.15-1.75. The head and gaze tilt angles and head forward position after the intervention in the experimental group showed a significant decrease. Also, the head tilt angle was significantly increased after the intervention. Conclusions: The results showed that exercises could be beneficial in improving the posture of the head and neck, which caused reducing the severity of neck pain among computer users.

Background: Due to the prevalence of the Covid-19 virus and its effects on people's lives and the lack of studies on non-health workers, the present study was conducted to evaluate Covid-19 anxiety and its relationship with sleep quality among industrial workers. Methods: The research method was descriptive and cross-sectional. We selected 212 individuals using random sampling. Data were collected using a demographic information questionnaire, the Corona Disease Anxiety Scale (CDAS), and the Pittsburgh Sleep Quality Index (PSQI). For data analysis, Pearson correlation test, independent t-test, and ANOVA were used in SPSS software version 24. Results: The mean age of participants was 33.27±6.6, 78.8% of whom were male, and 79.3% were married. The CDAS and PSQI score's mean and standard deviation were 11.60±8.2 and 5.37±1.7, respectively. There was a significant relationship between CDAS scores and age (P= 0.008) and work experience (P= 0.005). Also, a significant relationship was observed between PSQI score and age (P= 0.032) and work experience (P= 0.009). There was a significant correlation between CDAS and PSQI scores (r= 0.341 and P= 0.007). People with lower levels of education showed high anxiety scores and poor sleep quality. Conclusion: According to the findings of this study, the authors concluded that by reducing anxiety, the quality of sleep could be increased. Therefore, to reduce anxiety and increase the quality of sleep and employee productivity, the researchers suggest that factory managers identify and eliminate the causes of anxiety by establishing continuous and regular mental health training.