فهرست مطالب sara tabanfar

Neck pain is one of the most common musculoskeletal disorders among office workers. This study aimed to investigate the impact of strengthening the neck muscles on pain prevalence and neck disability among office workers.

This interventional study was performed among 85 University office workers (female=50 and male=35). Participants were randomly divided into the two groups (exercise group=42 subjects and control group=43 subjects). The exercise intervention was performed for 12 weeks, five sessions per week, and each session lasted approximately 15 minutes in the experimental group. Evaluations were performed at baseline and after 12 weeks: demographic questionnaire, Nordic questionnaire for measuring neck pain prevalence, and Neck Disability Index (NDI) for measuring functional disability were applied. The neck pain prevalence and NDI were compared before and after the intervention using McNemar and paired t-tests.

47.05% and 40% of all participants reported neck pain during the last 12 months and the last seven days, respectively. The neck pain prevalence during the last seven days (P<0.05) and NDI (P<0.01) after exercise were significantly decreased comparing to the other group.

About half of the office workers suffer from neck pain, and exercise intervention can improve and reduce the prevalence of neck pain and NDI by strengthening neck muscles.

This study aimed to evaluate the ergonomics of the office workplace and determine the cut-off point of the workstation layout checklist (WSLC) and the work posture checklist (WPC) of computer users.

The descriptive-analytical was performed among 200 office staff willing to cooperate at the university. To collect data and evaluate workstations and the posture of employees, the WSLC and WPC were used, respectively. The ROC curve was used to determine the cut point of the final score of the checklists.

The optimal cut-off point value for the WSLC was 14.5 (sensitivity = 91.2, specificity = 77.8, and area under the curve = 0.89). Similarly, the best cut-off point value for the WPC was identified as 8.5, with a sensitivity of 93.9, specificity of 71.8, and area under the curve of 0.88. The evaluation results showed that 25 % of the workstations and 32 % of the working postures of the employees were at an undesirable level.

Determining the cut-off point for valid WSLC and WPC plays a crucial role in evaluating the cost, facilitation, speed, and repetition associated with office workplaces, thereby categorizing them as either desirable or undesirable. A quarter of the workstations and a third of the working postures of the employees were evaluated as undesirable.

Sleep is a vital need for humans. Industrial workers are among the people who suffer from insomnia and sleep problems due to rotating shifts. Therefore, this study aims to investigate the relationship between sleep quality and the quality of life of industrial workers with rotating shifts.

234 industrial workers participated in this descriptive-cross-sectional study. Data were collected using a demographic information questionnaire, a short form of the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF), and the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed with an independent t-test, Pearson's correlation coefficient, and one-way ANOVA test in SPSS statistical software version 24.

The mean and standard deviation of the age of participants was 31.6±5.7 years. The mean and standard deviation of WHOQOL-BREF and PSQI scores were 66.5±11.3 and 5.8±1.6, respectively. A significant relationship was also observed between the quality of sleep and workers' quality of life (r=-0.31). People with higher age and work experience had lower quality of sleep and quality of life. Also, women experienced lower quality of sleep and quality of life compared to men and married people compared to single people.

Considering the significant relationship between the quality of sleep and the quality of life of workers, it is suggested that managers and supervisors of industries and factories design the work schedule of workers in such a way that the quality of sleep of workers and consequently the quality of life improve.

High mental workload can negatively affect nurses’ mental and physical health, quality of life, and workability. Therefore, the present study aimed to determine the relationship between mental workload and the workability among nurses. Using the multi-stage sampling method, the researchers selected 142 nurses working in Qazvin hospitals in Covid-19 patient care units to participate in a cross-sectional descriptive study. Data collection tools included a demographic information questionnaire, the NASA Workload Index, and Workability Index. Data were analyzed by independent t-test, Pearson correlation coefficient, and ANOVA in SPSS software. The mean age of participants was 31.3±6.1 years, and the work experience mean was 7.6±5.8 years. The results showed a high mental workload (80.4±13.4) and moderate workability (31.8±7.3). The number of nurses’ shifts per month was negatively correlated with workability (P=0.032). ICU nurses had the highest mental workload score and the lowest workability score. Also, workability there was a significant negative correlation between mental workability and workload (r=-0.579 & P<0.001). A reverse correlation was observed between mental workload and workability. To improve the performance and mental health of nurses, frequent training programs and management interventions should be practiced.

Nurses’ high workload may affect their ability to work, cause health problems, and reduce nurses’ quality of life. Considering the important role of nurses in society’s health, it is important to identify the factors affecting their physical and mental health. The current study investigates and correlates nurses’ workload, quality of life, workability, and contextual variables.

In this descriptive-analytical and cross-sectional study, 142 subjects from the ICU, CCU, emergency department, and other departments of Qazvin educational-therapeutic hospital participated. Data collection tools included a demographic information questionnaire, NASA-TLX (Task Load Index), Short Form Health Survey (SF-36), and work ability index (WAI). Data were analyzed with an independent t-test, Pearson’s correlation coefficient, and a one-way ANOVA test.

The mean and standard deviation of nurses’ age and work experience were 31.3±6.1 and 7.6±5.8, respectively. The mean and standard deviation of nurses’ workload score, quality of life, and workability were 80.4±13.4, 55.5±18.7, and 31.8±7.3, respectively. According to the results, nurses’ workload had a significant relationship with quality of life (P-value=0.001) and workability (P-value=0.000). Significant relationships were also observed between quality of life and workability (P-value=0.001). Quality of life had a significant negative correlation with age, work experience, and the number of nurses’ shifts per month (P-value<0.05). Nurses with higher education had lower workload and higher workability.

Nurses working in ICU and CCU units had a higher workload. Nurses with higher education levels had less workload and more ability to work. There was an inverse correlation between workload quality of life and nurses’ workability. It is possible to reduce nurses’ workload by reducing their tasks and working hours.

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.

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).

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.

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.

Nurses are at high risk for Covid-19 due to their occupational nature. This study aimed to determine the relationship between anxiety and quality of life in nurses working in different care units of patients with Covid-19.

Using multi-stage random sampling, 142 nurses working in Covid-19 wards of hospitals affiliated to Qazvin University of Medical Sciences participated in a descriptive cross-sectional study. Data were collected using the demographic information questionnaire, Corona Disease Anxiety Scale (CDAS), and quality of life questionnaire (SF-36).

The mean age of the study participants was 31.37±6.1 years and 62% (88 nurses) were married. The mean scores of Covid-19 anxiety and quality of life were 18.70±8.79 and 55.57±18.70, respectively. Anxiety score was assessed as moderate. The highest and lowest quality of life scores belonged to the Physical Function dimension (69.04±29.03), and Role-Emotional (48.35±42.86), respectively. There was a significant inverse correlation between anxiety and quality of life (P<0.001 and r= -0.350). Nurses working in emergency and general wards had the highest and lowest scores of anxiety (P= 0.032), respectively. and nurses working in general and CCU wards had the highest and lowest scores of quality of life (P= 0.005), respectively. Compared to other groups.

Nurses working in Covid-19 wards are exposing to worrying levels of anxiety. It is suggested to the managers of the health department, by creating specialized counseling and training centers for nurses, identify and eliminate the causes of anxiety and improve the quality of life of nurses.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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).

The employeeschr('39') 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.