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Showing 9 results for Sleep Quality
Investigation of the Relationship of Sleep Quality, Sleepiness and Sickness Absence
Rezvan Zare, Alireza Choobineh, Sareh Keshavarzi, Saeedeh Moghateli,
Volume 4, Issue 2 (10-2016)
Abstract

Introduction: Sleep disorder is very common among employees and is considered as one of the crucial health problems. Sleep disorders have a negative impact on job performance. The present study was regarding the relationship of sleep quality, sleepiness and sickness absence.

Methods: This cross-sectional study was conducted on 400 employees of a gas company through random sampling. The study data were collected using the Pittsburg Sleep Quality Index (PSQI) and the Karolinska Sleepiness Scale (KSS). Mann-Whitney U test and Spearman’s correlation coefficient were applied for data analysis.

Results: While 43.2% of the participants enjoyed satisfactory sleep quality, 56.8% had unsatisfactory sleep quality. Statistical tests indicated a significant difference in sickness absence of the personnel with good and poor sleep qualities (P = 0.0001). Spearman’s correlation coefficient (ρ = 0.777) indicated a statistically significant correlation between sleepiness index and sickness absence (P = 0.0001).

Conclusions: The results showed a strong positive correlation in sleep quality, sleepiness index of the personnel and sickness absence; i.e. along with decline in sleep quality and incline in sleepiness, the personnel’s sickness absence increased.


The Study of Sleep Health Education Effect on Sleep Quality Among Lorestan Nursing Personnel
Mohammad Babamiri, Babak Moeini, Hojat Tahmasian, Majid Barati, Ghodrat Roshanai,
Volume 4, Issue 4 (3-2017)
Abstract

Introduction: In some occupations such as nursing, due to specific job circumstances, sleep quality is poor. Given the importance of sleep quality, this study examined the impact of sleep health education on sleep quality among nurses.

Methods: This was an interventional and quasi-experimental research. The study population included the nursing personnel serving at elected Lorestan university hospitals. Among them, 50 were randomly assigned to a control group and 50 were selected as the intervention group. Data collection was organized according to a questionnaire posing demographical questions as well as Pittsburgh Sleep Quality questionnaire. Training intervention for the intervention group was carried out. Consequently passing 45 days, both control and intervention groups were called out for questionnaire filling. Data analysis was conducted using SPSS software, independent t-test and McNemar’s test.

Results: The study results showed that after the intervention training, there was a significant difference in terms of the average sleep score among the personnel of nursing, and after the training intervention, the sleep status of the personnel got improved compared to those of the control group (P ≤ 0.05).

Conclusions: The study results showed that sleep quality-improving skills trainings had an important and decisive impact on the sleep quality of nursing personnel and holding educational courses in this field for personnel can be useful.


The Mediating Role of Sleep Quality in Relationship between Workload and Physical and Mental Health among Nurses
Tayebe Rahimi Pordanjani, Ali Mohamadzade Ebrahimi,
Volume 5, Issue 2 (9-2017)
Abstract

Introduction: Nurses as the most important part of human resources in the health service system are often faced with problems associated with shift work. The present study aimed to examine a mediating role of sleep quality in the relationship between workload and physical and mental health among nurses.
Methods: This cross-sectional study was conducted on 236 nurses working in three educational hospitals in Bojnord city. To collect data, the survey of shiftworkers (SOS) questionnaire was used. Data were analyzed using the structural equation modeling by AMOS-21 and SPSS 19 software packages. In addition, the Preacher and Hayes’ SPSS Macro program was used for testing mediation.
Results: The results showed that the proposed model fitted the data properly. Also, workload directly affected only physical health, and the quality of sleep had a mediator role in the relationship between workload and physical and mental health.
Conclusions: Sleep quality as an important variable can mediate the relationship between workload and physical and mental health in nurses. So, it is suggested that interventional interventions to improve the health of the staff be focused on adjusting and shifting job shifts and teaching the principles of sleep hygiene to them.
 


The Field Study of the Effect of Noise Exposure on Cognitive Function and Sleep Quality
Mostafa Rahmiani-Iranshahi, Mohsen Aliabadi, R Rostam Golmohamadi, Alireza Soltanian, Mohammad Babamiri,
Volume 9, Issue 1 (4-2021)
Abstract
Background and Objectives: Noise is known as an intruder in job environments and has non-hearing effects. The impact of noise on cognitive functions depends on the type of noise and the dose of noise exposure. This study aims to investigate the effect of noise exposure on cognitive functions and sleep quality.
Methods: This descriptive-analytical cross-sectional study was performed on 169 workers in three metal, chemical, and food industries in Hamedan in 1399. A continuous performance test was used to evaluate cognitive functions. The Petersburg questionnaire assessed participant's sleep quality. Using SVAN 971 analyzer and TES dosimeter, the level of noise exposure and the dominant frequency was measured. Data were also analyzed using linear and multiple regression in SPSS software (version 16).
Results: There is a significant difference in the level of noise exposure with changes in cognitive functions and sleep quality in the present study (P<0.001). The results of linear regression showed that there is a significant relationship between cognitive function and the level of exposure to sound (P<0.001). After identifying and determining the input variables, using multiple regression, an appropriate model was developed to predict sleep quality and sustained attention in the face of noise.
Conclusion: Based on the results of this study, predictive models with the appropriate coefficient of determination can be good models for assessing the quality of sleep and attention of people in the face of noise, which can be implemented and measured in a shorter time.

The Survey of Relationship between the Sleep Quality with Cognitive Failures and Job Performance among Airport Staff
Mis Afrouz Rostampour, Mr Heidar Mohammadi, Mr Razzagh Rahimpour, Mis Fatemeh Sarvi, Mis Elahe Dortaj, Mr Mansour Ziaei, Mis Simin Safarpour, Mr Abdolrasoul Rahmani,
Volume 9, Issue 4 (3-2022)
Abstract
Background and Objectives: Mental and physical fatigue of airport staff reduces their job standards and productive concentration. The objective of this study was to examine the sleep quality and its effect on cognitive failure and job performance among airport staffs.
Methods: In this descriptive-analytical study, 200 staff of an airport were chosen by simple random sampling method. The data collecting tools were four questionnaires that comprised demographic characteristics, sleep quality, cognitive failures, and job performance. Data was analysed using descriptive statistics and regression tests.
Results: Based on the findings, the mean total scores of the sleep quality, cognitive failures, and job performance were 6.78 ± 3.23, 65.22 ± 20.36 and 39.59 ± 5.59, respectively. The results showed that the mean score of sleep quality in the two areas of sleep latency (1.5 ± 0.82) and sleep duration (1.43 ± 1.05) was higher than other subscales. According to the findings, there was a significant inverse relationship between sleep quality score and cognitive failures score with job performance score (r = -0.195, P < 0.05), While the sleep quality score and cognitive failure score showed a positive and significant correlation (r = 0.389, P < 0.05).
Conclusion: The findings demonstrated a significant relationship between sleep quality and cognitive failure, so that with decreasing this factor, cognitive failure of airport staff also increased and the probability of the human error increased. Therefore, enhancing the sleep quality and comfort by providing ergonomic solutions the cognitive failure in staff and consequently job performance would be greatly prevented.

A Survey on the Sleep Quality in Agricultural Tractor Drivers in Different Climatic Conditions
Ehsan Houshyar, Hadi Daneshmandi,
Volume 9, Issue 4 (3-2022)
Abstract
Background and Objectives: Among the various agricultural activities, working and driving with farm tractors in different weather conditions lead to fatigue and burnout. The objective of this study was to evaluate the sleep quality of farm tractors drivers in different weather conditions.
Methods: Amongst tractor drivers in Behbahan, Eqlid, and Kavar, 90 participants (Kavar: 27; Eqlid: 33; Behbahan: 30) were selected. The required data was gathered using the demographic characteristics questionnaire and standard questionnaire Pittsburgh Sleep Quality Index (PSQI). We used Kruskal-Wallis and Post-hoc pairwise comparison tests to analyze the data (α = 0.05).
Results: The results showed that there were no significant differences in sleep quality and sleep quality parameters between different region tractors drivers (P > 0.05); but there were significant differences in mental sleep quality (P = 0.001), in terms of delays in falling asleep (P = 0.02), going to sleep duration (P = 0.04) and between Kavar and Behbehan tractor drivers, and also there are significant differences in going to sleep duration (P = 0.04) between Kavar and Eqlid tractor drivers.
Conclusion: Working in critical cold weather (like nights in Eqlid) or critical hot weather (like noon in Behbahan) should be strongly forbidden by providing with a suitable working schedule especially while tractor drivers without driver’s cabin. Drivers’ cabins safeguards drivers against temperature, wind and dust, and, therefore increase their comfort and sleep quality.

Effect of Stress Inoculation Training on Occupational Stress, COVID Anxiety, Resilience, and Sleep Quality in Medical Staff During the COVID-19 Pandemic
Nadere Seyedahmadi, Alireza Heidari, Parviz Askari,
Volume 11, Issue 1 (5-2023)
Abstract
Objectives: The present study aimed to assess the effect of stress inoculation treatment (SIT) on occupational stress, COVID anxiety, resilience, and sleep quality of healthcare workers.
Methods: The current study was conducted based on a pre-test-post-test design with the control group. The research community consisted of healthcare workers in Ahvaz, and the research participants included 40 cases who were selected by purposeful sampling based on inclusion and exclusion criteria. The research instruments were the COVID-19 anxiety scale, resilience scale, sleep quality scale, and job stress scale. The data were analyzed in SPSS software using univariate and multivariate covariance analysis.
Results: The results of the present study demonstrated F ratios of univariate analysis of covariance for sleep quality (F=304.08 and P<0.001), COVID anxiety (F=212.99 and P<0.001), resilience (F=152.37 and P<0.001) and job stress (F=124.59 and P<0.001).
Conclusion: Due to the effectiveness of stress inoculation training on the studied variables, this training seems necessary for the health and treatment staff.

Investigating the Effects of Workload, Fatigue, Sleep Quality and Posture on Musculoskeletal Disorders in Workers in the Steel Industry
Atefeh Elyasi Gomari, Behzad Fouladi Dehaghi, Saeed Ghanbari, Abbas Mohammadi,
Volume 11, Issue 3 (12-2023)
Abstract
Objectives: Musculoskeletal disorders (MSDs) are widespread and important health and social problems in industrialised society, reducing productivity, increasing treatment costs and affecting the quality of life of workers. The present study was conducted with the aim of investigating the effects of workload, fatigue, sleep quality and physical condition on musculoskeletal disorders among workers in the steel industry.
Methods: The present study is a descriptive and analytical study conducted on a population of 540 workers working in the steel industry in the city of Dezful. Based on simple random sampling, 400 people were selected as samples. The instruments used in this study are the Demographic Information Questionnaire, the Cornell Musculoskeletal Disorders Questionnaire (CMDQ), the Swedish Occupational Fatigue Inventory(SOFI), the Pittsburgh Sleep Quality (PSQI) and the NASA-TLX workload index. The Rapid Entire Body Assessment (REBA) was used. Descriptive statistical indices were used to analyze the data, and the relationships between observed and hidden variables were examined using structural equation modeling (SEM) The data were analyzed at a significance level of 0.05 and in SPSS software version 25.
Results: According to the prevalence of musculoskeletal disorders, back pain ranked first with a mean and standard deviation of 52.39±25.44 and knee pain ranked second with a mean and standard deviation of 46.46±26.45, indicating that the prevalence of these disorders is high among steel industry workers. The results of the correlation analysis showed that there is a positive and significant relationship between workload, fatigue, sleep quality and body condition and musculoskeletal disorders (p<0.05). The RMSEA index of less than 0.1 shows that the model proposed in this study fits well and demonstrates the role of workload variables, fatigue, sleep quality and body position in the direct and indirect causation of musculoskeletal disorders.
Conclusion: The results of this study show that improving workplace ergonomics, reducing workload and fatigue, and improving sleep quality can reduce the likelihood of musculoskeletal disorders in workers.

Investigation of the Relationship among Work Shift, Sleep Quality, and Work Ability Index in Pre-Hospital Emergency Personnel in Urmia City in 2023
Teimour Allahyari, Ali Mahboubi,
Volume 12, Issue 1 (4-2024)
Abstract
Objectives: Nowadays, due to the increase in the volume of accidents, pre-hospital emergency personnel, as the frontline of treatment by providing relief and assistance to patients and victims of various incidents, have encountered various work-related challenges and problems, including cardiovascular diseases, digestive diseases, excessive fatigue, and reduced sleep quality. In this regard, the present research aimed to study the relationship among shift work, sleep quality, and work ability index in pre-hospital emergency personnel.
Methods: This research was performed on 102 operational personnel of a pre-hospital emergency department in Urmia, Iran. After the collection of demographic information, the number of work shifts per week, the number of working hours per month, the quality of sleep, and the work ability of the personnel were measured by the Petersburg sleep quality questionnaire and work ability index questionnaire. The relationship between research variables was investigated using correlation coefficient, Fisher's exact test, and one-way analysis of variance tests.
Results: Mean total sleep quality score of the personnel was 6.01 ± 2.38, which indicated poor and unfavorable sleep quality. Moreover, work ability index scores of 34.3%, 52%, and 13.7% of participants were at poor, moderate, good, and excellent levels, respectively. Regarding the comparison between the two variables of shift work and sleep quality, there was a significant difference, and a strong and significant relationship was observed between sleep quality and work ability index.
Conclusion: Through the increase in the number of work shifts and working hours, the sleep quality of the personnel became unfavorable and weak which led to a decrease in the work ability index score and a reduction in the job performance of the personnel. Reduction of working hours, usage of young people with high work ability, management and control of the number of work shifts of the personnel by considering resting and closure time, consideration of morning-evening and night shifts in a balanced and equal manner, and prevention of people from working in monotonous shifts (activity only in the form of night work or only day work), and avoidance of working in consecutive work shifts without rest and vacation in order to improve the quality of sleep and work performance is recommended.

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