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Showing 10 results for Hosseini

Forough Zare Derisi, Leila Rastegar, Sattar Hosseini, Hadi Daneshmandi, Alireza Choobineh, Abolfazl Mohammadbeigi,
Volume 1, Issue 3 (Journal of Ergonomics 2014)
Abstract

Introduction: The maximum aerobic capacity (VO2-max) can be used to assess the cardio-respiratory condition and fit the physiological characteristics of workers to the work. This study was conducted to determine the correlation between the two methods of estimating the maximum aerobic capacity and its affecting factors among students of Shiraz University of Medical Sciences.

Materials and Methods: In this cross-sectional study, 104 students (54 males and 50 females) participated voluntarily (age ranged from 18 to 28 years). The subjects were assessed by step test according to Åstrand and ACSM protocols. The data collecting tool was a questionnaire including separate sections of demographic (age, sex, etc.), anthropometric (height, weight and BMI) and physiological (VO2-max) characteristics.

Results: The results revealed that the maximum aerobic capacity estimated from Åstrand and ACSM protocols were 3.21 (0.825) and 3.13 (0.707) l.min-1, respectively. Pearson correlation test showed high correlation between estimated maximum aerobic capacity via two protocols of Åstrand and ACSM (r=0.958). Meanwhile, there were significant associations among maximum aerobic capacity with weight, height, BMI and the number of hours of exercise per week.

Conclusion: The two methods for estimating the maximum aerobic capacity (Åstrand and ACSM) were highly correlated. Variables such as weight, height, BMI, and number of hours of exercise per week can be named as effective factors on VO2-m Normal 0 false false false EN-US X-NONE AR-SA
Parisa Hosseini Koukamari, Abdolzahra Naami, Teimour Allahyari,
Volume 3, Issue 1 (Journal of Ergonomics 2015)
Abstract

 

Introduction: Adaptive performance is defined as an employee’s ability to deal with changes and new and unusual situations in the workplace. The present study mainly focused on factor analysis of the Adaptive Performance Scale (APS) and determining its validity and reliability. Adaptive performance is a multi-dimensional structure with five latent factors.

Materials and Methods: This method validation study was conducted in Ahvaz, Iran. 210 randomly selected public hospital nurses completed the Persian version of the APS. Exploratory factor analysis (varimax rotation) was used to explore the factor structure of the scale. Confirmatory factor analysis and structural equation modeling were applied to fit the model.

Results: The overall reliability of the APS was confirmed (Cronbach’s alpha = 0.89). Factor analysis was used to evaluate the factor structure of the scale. Kaiser-Meyer-Olkin index (0.88) and Bartlett's sphericity test result (1639.093) were both significant. Finally, varimax rotation showed all items to have significant factor loadings.

Conclusion: Our findings confirmed the acceptable psychometric properties (reliability and validity) of the APS for administration among nurses. Therefore, the adaptive performance construct contains five distinct dimensions, namely dealing with emergency and unexpected situations, work stress management, creative problem solving, learning, and interpersonal adaptability. These results are consistent with previous studies.


Mohammad Amin Mououdi, Mohsen Hosseini,
Volume 5, Issue 3 (Journal of Ergonomics-Fall 2017)
Abstract

Background: Sitting for long periods of time is a part of the illness, which can happen in the workplace and the lack of attention to the ergonomic principles causes musculoskeletal disorders such as backache, pelvic ache, shoulder ache, elbow ache, arm ache, wrist and ankle ache, and muscle aches in the other parts of the body. The present research was carried out according to the ergonomic principles and designs, in order to design an ergonomic chair, suitable for the computer users in the monitoring room of one of the industries in the Mazandaran province.
Methods: The participants in this study included a total of 32 male staff from the monitoring room of one of the industries in the Mazandaran province. A total of 24 anthropometric parameters were measured from the body of each of the subjects, sitting in a vertical position on an adjustable chair, using anthropometric calipers and meters and the data were analyzed with the Excel and the Minitab statistical programs.
Results: The mean age of the subjects was 42.59  ±5.34 years and the 5th, 25th, 50th, 75th, 90th, and 95th percentiles of their anthropometric dimensions and Pearson's correlation coefficients were obtained to design the height, the depth, the height, and the width of the ergonomic chair. All parts of the chair had two degrees of freedom. The neck and back supports, adjustable for this type of chair were designed specifically. Also, using MIT standards, the level of seat compressibility was measured to be 4.26 cm, based on the 95th percentile weight.
Conclusion: Considering that other countries design and produce suitable chairs, focusing on the anthropometric characteristics of the individuals, studies, similar to this research could be recommended in the different parts of the country, in order to design and produce appropriate chairs for the physical dimensions of the people and their needs.

Siavash Etemadi Nejad, Seyyed Esmail Hosseininejad, Jamshid Yazdani Charati, Fariba Ghaempanah, Mahmoud Yousefi Chemazkati, Mojtaba Ahmadi, Ali Amani,
Volume 7, Issue 4 (Iranian Journal of Ergonomics 2020)
Abstract

Background and Objectives: Sewing is one of the occupations where the prevalence of musculoskeletal disorders is high. Sewing conditions at the workstation have made tailors face musculoskeletal injuries in various areas of their body, particularly pain in the neck, shoulder, and upper back and even waist. The purpose of this study was to evaluate the effect of a workstation designed for tailoring considering the results of previous studies on the neck and shoulder muscles of users by electromyography.
Methods: In this interventional analytical study, the activity levels of four superficial neck and shoulder muscles (meridian, anterior deltoid, middle deltoid, posterior deltoid) were Electromyographed on 33 participants (male and female) at two new and custom designed workstations.
Results: There was a significant difference in the amount of muscle activity in the new and existing workstations (P<0.05). But there was no significant difference between the different modes of the new workstation.
Conclusion: All four muscles were less active at the new workstation than the conventional workstation, meaning that the designed workstation was able to reduce neck and shoulder muscle activity during work.


Mahsa Heidari, Farshid Babapour Mofrad, Hamed Shah-Hosseini,
Volume 10, Issue 1 (Iranian Journal of Ergonomics 2022)
Abstract

Objectives: Given the benefits of controlling Body mass index (BMI) on the quality of life, BMI classification based on facial features can be used for developing telemedicine systems and eliminate the limitations of existing measuring tools especially for paralyzed people, that enable physicians to help people online when faced with situations like the COVID-19 pandemic.
Methods: In this study, new features and some previous-work features were extracted from face photos of white, black and Asian people, ages 18 to 81, with normal and overweight BMI. Faces were evaluated in three different steps. First, all faces were considered as one group. Second, they were divided into elliptical, round and square shape groups and third, they were separated based on gender. Then for each step, the performances of Random Forest (RF) and Support Vector Machine (SVM) were evaluated with all of the facial features and with selected features based on Pearson correlation coefficient. Matlab R2015b was used for implementation.
Results: The results revealed that features with higher correlation improved the accuracy of both algorithms. RF best performance using highly correlated features for 97 women and 92 men was in women and square-face groups (91.75% and 87.30% respectively), and SVM best performance was in women group (94.84%), square-face and round-face groups (84.12% and 84% respectively).
Conclusion: Accuracy of BMI classification based on facial features can be improved by categorizing faces into shapes and gender, and selecting appropriate features. The findings can be used for performance enhancement of telemedicine applications, especially for helping the differently-abled.

Fereshteh Hosseini, Mehrnaz Haghighi, Seifollah Gharib,
Volume 10, Issue 4 (Iranian Journal of Ergonomics 2023)
Abstract

Objectives: Effectiveness assessment of multifaceted long-term ergonomics interventions in an automotive company Introduction: Prevention of musculoskeletal disorders requires evaluation and improvement of work situations using ergonomic posture assessment methods. The purpose of this study was to determine the effectiveness of multifaceted and long-term ergonomic interventions in a developing automobile manufacturing company using the Rapid Office Strain Assessment (ROSA) method.
Methods: A long-term multifaceted intervention study was conducted on 70 office employees of an automotive engineering service company in three stages from 2016 to 2022. Interventions were carried out according to the scores obtained in the sub-areas of the ROSA method including chair, mouse and keyboard, telephone, and monitor. The interventions included technical-engineering and educational interventions. Finally, descriptive statistics and paired t-tests, Pearson correlation coefficient and multiple linear regression were used to analyze the data.
Results: The average score of ROSA in 2016 was 5.9 with a standard deviation of 0.66, while the average score of ROSA in 2022 was 3.85 with a standard deviation of 1.19. There was a statistically significant difference between the final score of ROSA in 2016 and 2022 (P < 0.001). Statistical tests showed that only the technical-engineering intervention had a significant effect on the ROSA final score.
Conclusion: The results of the present study have shown a favorable reduction in the final risk level of the physical condition of the employees during work due to the improvement of the physical condition as a result of the technical-engineering intervention along with the educational intervention in accordance with the components of the ROSA method.

Seyed Mohammad Hosseini, Armin Lahouri, Ataalah Barati, Hadi Miri,
Volume 11, Issue 2 (Iranian Journal of Ergonomics 2023)
Abstract

Objectives: In today's advanced world, musculoskeletal problems are among the most serious problems. The present study aimed to assess the relationship between ergonomics and postural abnormalities in manufacturing workers.
Methods: The statistical population of this research consists of 210 male employees working in two production units. Among this population, 134 cases were included in the study according to Morgan's table and based on the inclusion criteria. The pain in different parts of the body was assessed by the Nordic Musculoskeletal Questionnaire, the Rapid Entire Body Assessment (REBA) was utilized to evaluate workplace ergonomics, and the body posture was evaluated by the New York Posture Rating. The collected data were analyzed in SPSS software (version 26). The Shapiro-Wilk test was used to investigate the normality of data distribution. Moreover, a linear regression statistical test was utilized to assess the relationship between research variables. The significance level was set at <0.05.
Results: The obtained results pointed to a significant and negative relationship between the ergonomics score and the physical condition assessment (P=0.00; R=0.60). In addition, the results highlighted the presence of skeletal-muscular disorders in different parts of the body, with the highest prevalence in the back (53.73%).
Conclusion: According to the high and negative correlation of the variables, it was found that unfavorable ergonomic conditions can lead to poor physical condition and numerous musculoskeletal consequences.

Roholah Hosseini, Mojtaba Chekideh,
Volume 11, Issue 3 (Iranian Journal of Ergonomics 2023)
Abstract

Objectives: Human resources are the most important capital and strategic factor in any organization, especially hospitals. Managers need to employ suitable strategies to decrease and remove job stressors to utilize this capital more effectively for enhancing the quality of hospital services. Reducing occupational plays a significant role in improving the morale and motivation among the hospital's human resources. In this research, management strategies were investigated to reduce occupational stress among human resources in Imam Reza Hospital, Zarandiya, Iran.
Methods: The current applied research was conducted based on the descriptive-analytical method. The data were collected using the field survey method. The statistical population of the research included all experts working at the Imam Reza Hospital. The samples (n=28) were selected using a snowball sampling method. The data collection tool in this research was a researcher-made matrix questionnaire in the context of the research problem. The data were analyzed by the Taxonomy technique.
Results: According to the data analysis based on the calculation of the importance coefficient of the research indicators, self-confidence with Wj = 28.1% and employee motivation and morale with Wj = 27.1% were identified as effective indicators, Moreover, based on the data analysis obtained in this research with the Taxonomy technique, among different management strategies to reduce job stress, strengthening the work environment by intimacy (confidence interval [CI]=0.469), transparency of job goals (transparency in roles and tasks, CI=5.521), and participatory management (CI=3.798) were prioritized.
Conclusion: Based on the results of this research, hospital managers need to develop and execute strategies focused on creating a more intimate work environment, transparent roles, and a collaborative management approach to alleviate employee occupational stress.

Saeed Ilbeigi, Masoumeh Al-Eghabi, Mohammad Yousefi, Mohammad Hamed Hosseini,
Volume 12, Issue 3 (Iranian Journal of Ergonomics 2024)
Abstract

Objectives: Designing one-handed carrying tasks based on biomechanical findings has a significant impact on preventing musculoskeletal injuries. The present study was conducted to investigate the muscle synergy of the trunk and pelvis in the manual carrying of loads with different weights in healthy young people.
Methods: In this experimental study, 20 male volunteers performed the walking protocol without load, carrying different weights of 5%, 10%, and 15% of their own weight during unilateral manual load carrying. The electrical activity of the trunk and pelvis muscles while carrying loads of different weights was recorded using an electromyography device (Biovision). To evaluate the differences between different load-carrying conditions, a repeated measures test was used at a significance level of P≤0.05.
Results: The results showed that in the performance of manual load carrying, there was a significant difference between muscle synergy (synergy size) in all walking protocols, including 5% and 10% of body weight and 5% and 15% of body weight and between 15% and 10% (P≤05). While in the performance of manual load carrying, a significant difference was found between muscle synergy (synergy direction) in 5% of body weight and 10% of body weight, this difference was not seen in manual load carrying with 5% of body weight and 15% of body weight and also between synergy of 15% and 10% (P≥0.05).
Conclusion: It seems that the difference in muscle synergy in terms of size in unilateral manual load carrying can, with increasing load, create more tension in the back and pelvic muscles; however, the direction or angle does not change compared to the no-load state.

Seyedeh Aghdas Hosseini, Zeynab Moradian Haft Cheshmeh, Fardin Zandsalimi, Mahsa Mashayekhi,
Volume 12, Issue 4 (Iranian Journal of Ergonomics-In Press 2025)
Abstract

Background and aim: Cognitive failures are important for reducing accidents and improving performance and depend on multiple factors. Given that this issue has received less attention among midwives, this study aimed to determine the status of cognitive failures in relation to individual factors and personality traits among midwives.

Methods: This cross-sectional study was conducted in the summer of 2024 on 211 midwives working in Kermanshah province. The samples were selected using a convenience sampling method. A standard three-part questionnaire was used. The first part included demographic information. The second and third parts included questions from the Cognitive Failures Questionnaire and the short form of the NEO Personality Inventory, respectively. Data were analyzed using SPSS version 24.

Results: The mean age and work experience of the midwives participating in this study were 36.22 ± 8.03 years and 10.38 ± 7.85 years, respectively. The overall scores for cognitive failures in the dimensions of memory, action, and attention were 16.79 ± 3.04, 17.41 ± 2.80, and 16.30 ± 3.62, respectively. Results showed a direct relationship between age, work experience, and BMI with cognitive failures and an inverse relationship between exercising and cognitive failures. Neuroticism, agreeableness, and openness were directly related to cognitive failures, while conscientiousness was inversely related to cognitive failures.

Conclusion: The status of cognitive failures in the action dimension was more unfavorable compared to the other two dimensions. Some individual and personality traits were directly, and others inversely related to cognitive failures. Further studies in this area are necessary.


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