Write your message

Search published articles


Showing 5 results for Jalili
Workload in Train Driving Job: Affecting Factors and Improvement Recommendations
Narmin Hassanzadeh-Rangi, Yahya Khosravi, Ali Asghar Farshad, Hamed Jalilian,
Volume 5, Issue 1 (Journal of Ergonomics 2017)
Abstract

Introduction: Metro driving is one of the newest jobs in Iran. Due to the lack of studies about train drivers’ workload, there is no comprehensive information about factors that effect workload. This study aimed at analyzing the factors that may effect driver workload, in order to recommend control measures.

Methods: In this mixed method study, data generation was done through field observations, document reviews, individual interviews, focus group interviews, and focus group discussions. In order to perform field data collection, the institute for occupational ergonomics and CCD Design and Ergonomics Ltd’s developed tools were used. Directed content analysis was used for qualitative data analysis.

Results: Overall, 65 factors were extracted as the factors that may effect driver workload. The extracted factors were drawn on a fishbone diagram, over 8 categories, including management, supervision and organizational climate, infrastructure, job design, journey, and environmental as distal factors and time pressure, information exchanges, and individual factors as proximal factors.

Conclusions: Some of the distal factors are the nature of an urban transport system, so the only amendment is compensatory programs, and some of them could be resolved by long-term plans. Workload of train drivers could be reduced with a focus on the proximal factors in the short-term, and the distal factors in the long-term.


Design and Cross-Validation of Six-Minute Walk Test (6MWT) Prediction Equation in Iranian healthy Males Aged 7 to 16 Years
Majid Jalili, Farzad Nazem,
Volume 5, Issue 2 (Journal of Ergonomics 2017)
Abstract

Introduction: Application and correct interpretation of the 6-minute walk test (6MWT) in medical, therapeutic, and exercise settings requires normal values of the 6MWT. The aim of this study was to develop and cross-validate the 6MWT prediction equation in Iranian healthy children and adolescent males.
Methods: The 6MWT and anthropometric variables were measured in 391 males (8 to 17 years old) with standard methods. Pearson correlation was used to assess the relationship between distances walked in the 6MWT and independent variables. Multiple regression analysis was used to design 6MWT prediction equation from dependent variables. Furthermore, accuracy of the present 6MWT prediction equation was cross-validated.
Results: Significant correlation was found between distances walked in the 6MWT and anthropometric characteristics (P < 0.001). Multiple stepwise regression reviled that age and Body Mass Index (BMI) could explain 63% of the variability of 6MWT in children and adolescent males (r2= 0.627, SEE= 36 m, P < 0.001). Accuracy of native 6MWT prediction equation was approved by good correlation between measured and predicted distance walked in the 6MWT (r2 = 0.79, P < 0.001).
Conclusions: This is the first study on the development of native 6MWD reference values. With application of this 6MWD prediction equation, physicians, physical therapists, and fitness coaches could receive correct feedback of pharmacological, rehabilitation, and exercise interventions.


Design and Validation of Non-Exercise Equations for Estimation of Aerobic Capacity in Iranian Boys
Farzad Nazem, Abbas Rezaei, Majid Jalili, Hossein Saki,
Volume 8, Issue 2 (Iranian Journal of Ergonomics 2020)
Abstract
Background and Aim:  Accurate and rapid measurement of cardiorespiratory system performance by estimation methods regardless of basic physiological fitness level, geographical environment, culture and nutrition is of paramount importance. The purpose of this study was to design linear regression equations to estimate the aerobic capacity of healthy adolescent boys without the use of sport tests and validation of this equations.
Methods: In the present semi-experimental study, 156 healthy adolescent boys aged 13 to 17 years with a mean body mass index of 21.43 ± 4.5 Kg / m2 were selected by purposive sampling method. To design the non-sport equation for estimating maximum oxygen consumption (VO2peak), a multiple regression linear model and Pearson correlation were used to validate the equations.
Results: Significant correlations were observed between the measured VO2peak and the anthropometric and physiological variables (R=0.122 - 0.799, P<0.001). Also, a valid non-exercise linear equation for boys' VO2peak prediction was designed with variables such as age, BMI and resting heart rate (SEE = 3.59 mL/kg/min, R2 = 0.712, P<0.001). The estimated VO2peak from equations had a significant correlation with the obtained criterion value. (R = 0.707 – 0.730, P<0.01).
Conclusion: According to the results of the present study, it is possible to use aerobic capacity estimation equations, is a simple, accurate, safe tool in assessing the baseline cardiorespiratory fitness (VO2peak). The use of non-Exercise equations in the planning of exercise in large populations of adolescent boys and even as a daily clinical practice in the elderly and heart patients with the goals of promoting health, cardiovascular health, preventive actions is very important.

The Validity of the Native Non-sports Equation in Estimating the Maximum Aerobic Capacity of Adolescent Boys
Seyed Ghafar Hoseini, Ebrahim Zarinkalam, Reza Heidary, Majid Jalili,
Volume 11, Issue 4 (Iranian Journal of Ergonomics 2024)
Abstract
Objectives: The maximum aerobic capacity (VO2max) is the most important indicator of physical fitness, which is closely related to the general health of the body. Considering the problems of laboratory measurement of VO2max, estimating VO2max by non-exercise equations will be one of the alternative solutions. This study aims to evaluate the validity of the native non-exercise equation in estimating VO2max of healthy adolescent boys.
Methods: The variables of age, height, weight, and body mass index were measured in 248 healthy boys aged 15 to 18. The subjects' VO2max was measured and predicted by exercise test and non-exercise native equation respectively. To evaluate the validity of the native non-exercise equation, Pearson's correlation, paired t-test, and Bland-Altman's agreement were used.
Results: There is a significant correlation between measured and predicted VO2max (R = 0.76, p<0.05). Also, no significant difference was observed between predicted and measured VO2max (43.10 ml/kg/min and 43.38 ml/kg/min respectively) (mean difference=0.28 ml/kg/min, P>0.05). Also, the Bland-Altman graphic diagram indicated agreement between the methods of measuring and estimating VO2max.
Conclusion: In the present study, the native non-sports equation had a high validity in estimating VO2max of adolescent boys. It seems that the use of non-sports VO2max equations can be used as a simple, safe, and low-cost tool to evaluate the maximum aerobic capacity of students at a wide level.

Page 1 from 1     

© 2026 CC BY-NC 4.0 | Iranian Journal of Ergonomics

Designed & Developed by : Yektaweb |