Annals of Occupational and Environmental Medicine

Young A Oh

2 Articles

Development of a Fatigue Symptom Checklist for Commercial Drivers: An Experimental Trial: Kyoung Ok Park, Myung Sun Lee, Sang Hyuk Jung, In Seok Kim, Young A Oh; Korean Journal of Occupational and Environmental Medicine 2004;16(3):287-302. Published online September 30, 2004; DOI: https://doi.org/10.35371/kjoem.2004.16.3.287

OBJECTIVES
Fatigue is a primary human factor for decreased job performance in the workplace. It is well documented that drowsiness is a typical symptom of fatigue and is closely associated with commercial drivers'safety and well-being. However, few studies have been conducted to develop or validate fatigue symptom instruments for a working population. The main purpose of this study was to develop a general fatigue checklist and a driving fatigue checklist for Korean commercial drivers.
METHODS
A total of 287 bus drivers in a commercial transportation company participated in a self-administered survey that was designated Study 1. Based on the statistical results of Study 1, a focus meeting with 16 professional consultants was conducted to revise the fatigue symptom instrument for Study 2. In Study 2, 288 commercial drivers (156 bus drivers and 132 truck drivers) participated in the revised questionnaire survey. All collected responses were entered into a SPSS worksheet and the data analysis was conducted using SPSS software 11.1. The exploratory factor analysis used in this study followed the principle component factoring rule and the varimax rotation method for factor extraction. The criteria for item selection were an Eigen value of 1.0 or greater, a communality score of .50 or greater, and no 'fence rider'property over the extracted factors.
RESULTS
Through Study 1, the consultant meeting, and Study 2, a general fatigue checklist was developed with a total of 3 factors and 11 items, and a driving fatigue checklist was developed with 2 factors and 10 items. The 3 factors of the general fatigue checklist were physical fatigue, psychological fatigue, and chronic tiredness. The two factors of the driving fatigue checklist were physical fatigue and perceptive and functional fatigue.
CONCLUSIONS
The primary contents of general fatigue were different from those of driving fatigue according to the two fatigue instrument factors developed in this study. The primary fatigue symptoms of the commercial driving population were identified as physical fatigue and perceptive and functional fatigue.

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Yong Han Ahn, Sangeun Lee, Su Ryeon Kim, Jeeyeon Lim, So Jin Park, Sooyoung Kwon, Heejung Kim
BMC Public Health.2021;[Epub] CrossRef
Fatigue and poor sleep are associated with driving risk among Korean occupational drivers
Sooyoung Kwon, Heejung Kim, Gwang Suk Kim, Eunhee Cho
Journal of Transport & Health.2019; 14: 100572. CrossRef
Seafarers’ Quality of Life: Organizational Culture, Self-Efficacy, and Perceived Fatigue
Jae-hee Kim, Soong-nang Jang
International Journal of Environmental Research and Public Health.2018; 15(10): 2150. CrossRef
Economic Activities and Socioeconomic Status of Morbidly Obese Korean Adults
Hyun Ah Park, Jung Jin Cho
The Korean Journal of Obesity.2011; 20(4): 210. CrossRef

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Relationship between Manufacturing Workers'Job Conditions and Stress: Young A Oh, Myung Sun Lee, Kyung Yong Rhee; Korean Journal of Occupational and Environmental Medicine 2002;14(3):301-314. Published online September 30, 2002; DOI: https://doi.org/10.35371/kjoem.2002.14.3.301

Abstract PDF

OBJECTIVES
In this study we performed an analysis of the stress associated with the working conditions of 6,764 workers based on 'A survey of healthy condition of workers on 1999'by the Korean Occupational Safety and Health Agency. The Purpose of this study was to provide basic data for health education and management for industrial workers'health promotion.
METHODS
Collected data were analyzed using the t-test, ANOVA and multiple regression analysis, using the SPSS 10.0 program.
RESULTS
When the degrees of stress were analyzed according to demographic characteristics, females were found to have higher levels of stress than males (p<0.001). Furthermore, as age was lowered and as the work space became larger, the degrees of a stress were also found to be higher (p<0.001 and p<0.01, respectively). When the degrees of stress were analyzed according to working conditions, longer working hours (p<0.001) and reduced break times (p<0.05), gave rise to higher degrees of stress. Also, as the work space was reduced in size and as the work intensity was augmented, the degrees of a stress were made higher (p<0.01). In terms of physical working conditions, humidity and a lack of sense of security resulted in higher degrees of stress (p<0.01). When the workers sense that their environment is noisy or dusty has poor lighting or ventilation or that the rest room and cafeteria facilities are inadequate, the degrees of stress are found to be higher. As regards the social environment, when the workers sensed that the degree of job demand or job control was higher or that the degree of social support was lower, the degrees of stress were increased (p<0.001). Among those factors which influenced physical stress in the stepwise multiple regression analysis, the primary factor was found to be the safety of the working place (5.1 %). Other factors which influenced physical stress were degree of job demand, age, work intensity, humidity, sexual discrimination, length of working hours, size of work space and the existence or not of a regular break time in this order. Total R2 due to these factors was 12%. Among those factors which influenced mental stress in the stepwise multiple regression analysis, the primary factor was the degree of job demand (4.8 %). Other factors which influenced mental stress were humidity, age, sexual discrimination, the degree of a job control, safety of the working place, degree of social support, a working site, size of the work space, quality of lighting, the existence or not of a regular break time and length of working hours in this order. Total R2 due to these factors was 13.1 %.
CONCLUSIONS
The above results shows that working conditions are strongly related to stress. Furthermore, when both physical and social working conditions are continuously managed and improved, workers may not only reduce their levels of stress but also maximize their working efficiency.

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Journal of Environmental Science International.2024; 33(3): 217. CrossRef
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Job Stress of Occupational Health Managers in Chemicals Manufacturing Factories
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Relations between Fatigue and Work-related Factors in Workers
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Journal of Korean Academy of Community Health Nursing.2011; 22(4): 420. CrossRef
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Journal of the Korea Academia-Industrial cooperation Society.2011; 12(10): 4502. CrossRef
Work-related Stress and Risk Factors among Korean Employees
Eun Sook Choi, Yeongmi Ha
Journal of Korean Academy of Nursing.2009; 39(4): 549. CrossRef

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