Showing 3 results for Work Ability
Rajabali Hokmabadi, Mohsen Mahdinia, Vida Rezaei Hachesu, Ali Karimi,
Volume 12, Issue 2 (6-2022)
Abstract
Introduction: Sleep is one of the important physiologic needs in daily life cycle, and a part of quality of life. Sleep disorders are considered as one of the most common health problems in work communities that can affect physical, mental performance and ability to work. Therefore, this study aimed at investigating the relationship between sleep disorders and work ability in construction workers.
Material and Methods: This study is descriptive-analytical and cross-sectional. Samples of 220 people were selected by random sampling method from construction workers and personnel. Data collection tools in this study included sleep quality questionnaire, insomnia severity questionnaire and work ability questionnaire. Data were analyzed using SPSS software (version 19) and, considering the objectives, descriptive statistics and analytical tests including paired t-test, Pearson’s correlation, Kruskal-Wallis, multiple linear regression and logistic regression were used.
Results: Average age, body mass index, working hours and work experience were calculated as 34.2 ± 8.5 years old, 55.58 ± 2.78, 10.5 ± 1.25 hours and 12.7 ± 6.5 years, respectively. The mean indices of insomnia severity, Petersburg quality of sleep index and work ability were 6.6 ± 5.35, 4.95 ± 2.43 and 42.5 ± 5.13, respectively. The relationship between the work ability with sleep disorders was statistically significant. Variables of marital status, types of employment and smoking, independent of the variables of insomnia severity and sleep quality, significantly affected the work ability index, so that the R2 of these variables were 0.246 and 0.242 of the changes in work ability index, respectively.
Conclusion: Any disturbance in sleep and resting can cause poor sleep quality. As a result, it severely reduces the ability of employees to work. Therefore, it is suggested that, in order to increase the index of work ability and, thus, the efficiency of an organization, special attention be paid to sleep-resting programs of employees.
Seyvan Sobhani, Mohammad Sharif Hosseini, Sara Tabanfar,
Volume 13, Issue 3 (9-2023)
Abstract
Introduction: 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.
Material and Methods: 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.
Results: 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.
Conclusion: 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.
Rohollah Fallah Madvari, Reyhaneh Sefidkar, Reza Raeisi, Gholamhossein Halvani, Reza Jafari Nodoushan,
Volume 14, Issue 2 (6-2024)
Abstract
Introduction: Considering the abundance and the large number of workers employed in micro and small industrial workshops in Iran and the importance of workers’ health, the present study aimed to investigate the mediating role of chronic fatigue in the relationship between mental workload and work ability with cognitive failure using path analysis.
Material and Methods: This study was conducted using a cross-sectional design on a sample of workers employed in micro and small industrial workshops in the city of Eghlid. Data were collected utilizing various measures, including demographic and occupational information questionnaires, the NASA Task Load Index (NASA-TLX), the Work Ability Index (WAI), and questionnaires for chronic fatigue and cognitive failure. The correlation test and path analysis modeling were used in SPSS (version 24) and AMOS softwares to investigate the relationship between variables.
Results: The mean scores of mental workload, work ability, chronic fatigue, and cognitive failure
were 69.63, 35.20, 15.58, and 53.30, respectively. The values of the goodness of fit indices lead to
the confirmation of the conceptual model by the research data. Also, based on the findings of the path analysis, the current research model has a good fit (CFI=1.00, GFI=0.998, NFI=0.999, AGFI=0.98 and RMSEA=0.003(0.00,0.169)).
Conclusion: The path analysis results indicate that chronic fatigue plays a significant mediating role
in the relationship between mental workload and work ability with cognitive failure. A better understanding of the mediating mechanisms and complex effects of these relationships can contribute to improving the management of chronic fatigue and enhancing cognitive performance in the workplace.
