Annals of Occupational and Environmental Medicine

Sook Jung Hyun

5 Articles

Job Stress and Self-perceived Fatigue in Korean Farmers: Ki Hyun Lee, Sang Baek Koh, Dongmug Kang, Jin Joo Chung, Hyoung Ryoul Kim, In Ah Kim, Kyung Suk Lee, Sook Jung Hyun, Kang Myoung Lee, Jin Ha Yoon, Sung Kyung Kim, In Jung Cho, Jung Kyu Choi, Sung Soo Oh, Bong Suk Cha, Sei Jin Chang; Korean Journal of Occupational and Environmental Medicine 2011;23(2):213-224. Published online June 30, 2011; DOI: https://doi.org/10.35371/kjoem.2011.23.2.213

OBJECTIVES
A growing body of research has documented that job stress has a pivotal role in developing adverse health outcomes. However, little is known about the relationship between farmers' job stress and health outcomes. This study was undertaken to identify the relationship between job stress and self-perceived fatigue in Korean farmers.
METHODS
A total of 526 Korean farmers were asked to participate in this study. A self-administered questionnaire was used to assess the participants' general characteristics, job stress and self-perceived fatigue. Job stress was measured using a forty-eight item Farm Stressor Inventory (FSI), and the self-perceived fatigue was estimated by Multidimensional Fatigue Scale (MFS). Binary logistic regression analysis was conducted to examine the relationship between job stress and self-perceived fatigue.
RESULTS
The result showed that job stress was associated with self-perceived fatigue. For the farmers with high job stress, the risk of self-perceived fatigue was more likely to increase compared to those with low job stress. For males, labor intensity (OR, 3.88; 95% CI, 1.91~7.89), job environment (OR, 2.45; 95% CI, 1.22~4.93), social support (OR, 2.10; 95% CI, 1.07~4.13), social isolation (OR, 2.45; 95% CI, 1.15~5.60), financial problems (OR, 3.25; 95% CI, 1.53~6.91), uncertainty (OR, 2.48; 95% CI, 1.30~4.75) and health problems (OR, 5.77; 95% CI, 2.46~13.53) were associated with self-perceived fatigue. For females, job environment (OR, 2.23; 95% CI, 1.22~4.08), social isolation (OR, 2.08; 95% CI, 1.05-4.15), physical environment & weather condition (OR, 2.61; 95% CI, 1.33~5.12), financial problems (OR, 2.87; 95% CI, 1.55~5.32), uncertainty (OR, 3.65; 95% CI, 1.95~6.83) and health problems (OR, 3.38; 95% CI, 1.57~7.27) were associated with self-perceived fatigue.
CONCLUSIONS
This result suggests that farmers' job stress plays a role in the development of fatigue, and job stressors related to fatigue are slightly different according to gender.

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Association Between Ergonomic Burden Assessed Using 20-Item Agricultural Work-Related Ergonomic Risk Questionnaire and Shoulder, Low Back, and Leg Pain in Korean Farmers
Sora Baek, Jintae Park, Eun Kyoung Kang, Gowun Kim, Hyocher Kim, Hee-Won Park
Journal of Agromedicine.2023; 28(3): 532. CrossRef
Analysis of Brain Stress in Response to Temperature Changes under Agricultural Work Using Electroencephalogram Measurement
Seok-Joon Hwang, Ju-Seok Nam
Agriculture.2023; 13(9): 1801. CrossRef
A Study on the Factors Influencing Farmers’ Work-Life Balance and Social Support on Job Stress
Jung Shin Choi, Choi Yoon Ji, Chae Hye Sung, Kim Ga Hee
The Korean Journal of Community Living Science.2022; 33(4): 717. CrossRef
Analysis of stress, musculoskeletal disorders, and fatigue among broadcasting actors
Moon-Hee Park, Ham-Gyum Kim, Hae-Kag Lee
Journal of Physical Therapy Science.2016; 28(11): 3047. CrossRef
Farmers’ Cohort for Agricultural Work-Related Musculoskeletal Disorders (FARM) Study: Study Design, Methods, and Baseline Characteristics of Enrolled Subjects
Hannae Jo, Sora Baek, Hee-won Park, Sang-Ah Lee, Jiyoung Moon, Jae E. Yang, Ki Sung Kim, Jee Yong Kim, Eun Kyoung Kang
Journal of Epidemiology.2016; 26(1): 50. CrossRef
Relationship between Job Stress and Fatigue Symptoms among Manufacturing Male Workers
Hu-Yeon Lee, Jong-Tae Baek, Young-Chae Cho
Journal of the Korea Academia-Industrial cooperation Society.2016; 17(7): 543. CrossRef
Examining the Relationship between Exercise and Psychological Stress among the Rural Population
Jung-Woo Oh, Hyun-Jin Kwon, Sang-Hwa Lee, Jung-Jun Lim, Bo-Youl Choi, Mi-Kyung Kim, Yeon-Soo Kim
The Korean Journal of Sports Medicine.2015; 33(2): 126. CrossRef
The Effects of Job Characteristics on Smoking and Mediating Effects of Job Stress among Older Workers
Sungeun Lee
Korean Journal of Health Education and Promotion.2014; 31(3): 51. CrossRef
Work-related hazards among farmers
Soon Chan Kwon, Soo-Jin Lee, Mihye Jeong
Journal of the Korean Medical Association.2012; 55(11): 1046. CrossRef
The Relation Between the Occupational Stress and Fatigue Level of Neonatal Nurses
Eun-A Park, Jeong-Eon Park
Korean Journal of Occupational Health Nursing.2011; 20(3): 261. CrossRef

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The Association of Occupational Stress with Self-perceived Fatigue in White Collar Employees: Kyoung Tae Cha, Il Whoi Kim, Sang Baek Koh, Sook Jung Hyun, Jun Ho Park, Jong Ku Park, Bong Suk Cha, Sei Jin Chang; Korean Journal of Occupational and Environmental Medicine 2008;20(3):182-192. Published online September 30, 2008; DOI: https://doi.org/10.35371/kjoem.2008.20.3.182

Abstract PDF

BACKGROUND
& OBJECTIVES: A growing body of research has documented that occupational stress is closely associated with increased risk of fatigue. This study was conducted in an effort to assess the relationship of occupational stress to self-perceived fatigue among Korean white collar employees.
METHODS
Data were obtained from the National Study for Development and Standardization of Occupational Stress (NSDSOS Project, 2002-2004). Among them, a total of 4,502 white collar employees were recruited. A structured questionnaire was employed to evaluate the participants' sociodemographics, job-related factors, health-related behaviors, occupational stress, and self-perceived fatigue. Occupational stress and self-perceived fatigue were assessed using the Korean Occupational Stress Scale-Short form (KOSS-SF) and the Multidimensional Fatigue Scale (MFS), respectively.
RESULTS
In logistic regression analyses, occupational stress was associated with an increased risk of fatigue, and some domains of occupational stress had different effects on fatigue by gender (job demand, job insecurity, and lack of reward for men, job demand, lack of reward, and discomfort in occupational climate for women), which indicates that occupational stress may perform a slightly different role in increasing the risk of fatigue by gender.
CONCLUSION
The results of this study suggest that occupational stress is a determinant predictor of selfperceived fatigue. Thus, a stress management program for the reduction of occupational stress, and the promotion of white collar worker's health and quality of life is strongly recommended. Some limitations of this study and considerations for future studies were also discussed.

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Influence of Health Behaviors and Occupational Stress on Prediabetic State among Male Office Workers
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Impact of Job-stress on Fatigue Among 119 Rescue Workers
Sung-Soo Choi, Gyoung Wan Kim
Journal of the Korea Academia-Industrial cooperation Society.2016; 17(4): 433. CrossRef
The Relationship between Job Stress and Organizational Effectiveness for Office Workers
Yoo-Mi Chae, Jeong-bae Rhie, Sook Lee
Journal of the Korea Academia-Industrial cooperation Society.2016; 17(7): 389. CrossRef
Convergence Relationship between Occupational Stress and Fatigue Symptoms among Blue Collar Workers in Manufacturing Plants
Eun-Sook Shin
Journal of the Korea Convergence Society.2016; 7(1): 57. CrossRef
A Study on the Relationship between Fatigue Level, Job Stress and Quality of Life for Workers
Yunyoung Kim, Hye-Sun Hyun, Jong Hyang Yoo
Korean Journal of Occupational Health Nursing.2015; 24(4): 372. CrossRef
Risk factors for fatigue and stress among Korean police officers
Jong-Min Seok, Jae-Hwan Cho, Woo-Jin Jeon, Jae-Ouk Ahn
Journal of Physical Therapy Science.2015; 27(5): 1401. CrossRef
Correlations among occupational stress, fatigue, and depression in call center employees in Seoul
Yun Kyung Kim, Nam Hyun Cha
Journal of Physical Therapy Science.2015; 27(10): 3191. CrossRef
Correlation between Fatigue and Quality of Life Caused by Stress of Researchers' Work
Hye Joo Park, Yun Young Kim, Ki Hyun Park, Si Woo Lee, Jong-Hyang Yoo
Korean Journal of Occupational Health Nursing.2014; 23(3): 171. CrossRef
Relationships of Job Stress, Fatigue & Depression among one Ship-building Supply Workers
Sang-Dol Kim
Journal of the Korea Academia-Industrial cooperation Society.2014; 15(5): 2789. CrossRef
Factors Influencing Health Promoting Behaviour according to the Type A/B Personality of White Collar Workers
Jin Yi Choi, Young Mi Park
Korean Journal of Occupational Health Nursing.2013; 22(4): 305. CrossRef
Relationship Between Job Stress and Fatigue Symptoms Among Nurses in a University Hospital
Soon-Young Kim, In-Sun Kwon, Young-Chae Cho
Journal of the Korea Academia-Industrial cooperation Society.2012; 13(4): 1759. CrossRef
Relationship between Occupational Stress and Gastric Disease in Male Workers
Ho-Seob Lihm, Sang-Hyun Park, Eun-Hee Gong, Jong-Soon Choi, Jung-Won Kim
Korean Journal of Family Medicine.2012; 33(5): 311. CrossRef
Job Stress and Psychosocial Factors and Its Association with Self Perceived Fatigue among White Collar Male Workers
Seung-Pil Park, In-Sun Kwon, Young-Chae Cho
Journal of the Korea Academia-Industrial cooperation Society.2011; 12(1): 301. CrossRef
The Relation Between the Occupational Stress and Fatigue Level of Neonatal Nurses
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Job Stress Levels in Environment Impact Assessment, and Related Factors Including Expert
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Korean Journal of Environmental Health Sciences.2010; 36(5): 373. CrossRef

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Occupational Stress in Relation to Cerebrovascular and Cardiovascular Disease: Longitudinal Analysis from the NSDSOS Project: Chang Kook Hwang, Sang Baek Koh, Sei Jin Chang, Chong Yon Park, Bong Suk Cha, Sook Jung Hyun, Jun Ho Park, Kang Myoung Lee, Kyoung Tae Cha, Woo Jin Park, Hyung Joon Jhun; Korean Journal of Occupational and Environmental Medicine 2007;19(2):105-114. Published online June 30, 2007; DOI: https://doi.org/10.35371/kjoem.2007.19.2.105

Abstract PDF

OBJECTIVES
This prospective study was performed to investigate the association between occupational stress and the development of cerebrovascular and cardiovascular diseases.
METHODS
A total of 8,429 employees were selected from a nationwide sample, proportional to both the Korean Standard Industrial Classification and the Korean Standard Occupational Classification. A structured self-reported questionnaire was used to access the demographic and socioeconomic characteristics, health behavior and work related characteristics. 43-items of the full version of Korean Occupational Stress Scale (KOSS) were used to access the participants occupational stress. New cases of hospitalization due to cerebrovascular and cardiovascular diseases were evaluated using medical utilization files received from the National Health Insurance Corporation for the period of March 2004 to December 2005. A logistic regression analysis was performed to investigate the association between occupational stress and cerebrovascular and cardiovascular diseases.
RESULTS
43 new cases of hospitalization due to cerebrovascular and cardiovascular diseases were found. According to the results of the logistic regression analysis, job stressors were related with circulatory diseases after adjustment for gender, age, number of workers, employment type, shift work, smoking, alcohol intake, and regular exercise. Of the 8 subscales, insufficient job control (Adj. RR 2.802; 95% CI 1.038-7.564) and occupational climate (Adj. RR 2.365; 95% CI 1.087~5.143) were significantly associated with cerebrovascular and cardiovascular diseases. However, no significant relationships were found between the 6 KOSS subscales and cerebrovascular and cardiovascular diseases.
CONCLUSIONS
Despite the short-term follow-up of about two years, the KOSS subscales of insufficient job control and occupational climate were significantly associated with cerebrovascular and cardiovascular diseases.

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Fatigue as a Predictor of Medical Utilization, Occupational Accident and Sickness Absence: Sei Jin Chang, Sang Baek Koh, Dongmug Kang, Seong Ah Kim, Jin Joo Chung, Chul Gab Lee, Myung Geun Kang, Sook Jung Hyun, Jung Jin Cho, Bong Suk Cha, Jong Ku Park; Korean Journal of Occupational and Environmental Medicine 2005;17(4):318-332. Published online December 31, 2005; DOI: https://doi.org/10.35371/kjoem.2005.17.4.318

Abstract PDF

OBJECTIVES
This study examined the relationship of fatigue to medical utilization, occupational accident and sickness absence. Subjects and METHODS: Data were obtained from the National Study for Development and Standardization of Occupational Stress (NSDSOS Project, 2002~2004). A total of 30,146 employees categorized within the Korean Standard Industrial Classification and the Korean Standard Occupational Classification were recruited. A structured-questionnaire was used to assess the participants' sociodemographics, job-related factors, health-related behaviors, personality trait, self-perceived fatigue (MFS) and the frequency of medical utilization, occupational accident and sickness absence. Data on medical utilization and occupational accident were confirmed from company health records. Chi-square test and logistic regression analysis were used to elucidate the relationship of self-perceived fatigue to medical utilization, occupational accident and sickness absence.
RESULTS
In logistic regression analyses, self-perceived fatigue was associated with medical utilization (outpatient), occupational accident and sickness absence although the strength of the associations was higher in the blue collar workers except for medical utilization. For medical utilization, the white collar workers' adjusted odds ratios of outpatient utilization for workers scoring in the third quartile and the highest quartile, compared to workers scoring in the lowest quartile were 1.50 (95% CI: 1.20-1.87) and 2.16 (95% CI: 1.69-2.75), respectively. The blue collar workers' adjusted odds ratios of outpatient utilization for workers scoring in the second (OR: 1.23, 95% CI: 1.06-1.43), third (OR: 1.42, 95% CI: 1.22- 1.66) and highest quartile (OR: 1.83, 95% CI: 1.55-2.17), respectively, compared to workers scoring in the lowest quartile were statistically significant. However, no associations were found between fatigue and inpatient utilization for either the white or blue collar workers. The blue collar workers' adjusted odds ratios of being injured for workers scoring in the second, third and highest quartile were 1.41 (95% CI: 1.00-2.00), 1.57 (95% CI: 1.10-2.22) and 2.41 (95% CI: 1.69-3.44), respectively, compared to those scoring in the lowest quartile, but, those of the white collar workers were not significant. There was more likely to an increased risk of sickness absence in workers scoring in the second, third and highest quartile compared to those scoring in the lowest quartile in both white and blue collar workers, but the magnitudes of risk were higher in the blue collar workers than the white collars workers.
CONCLUSION
This result suggests that fatigue is a determinant predictor of medical utilization, occupational accident and sickness absence, and that the pattern of risks for the three outcomes differs according to the occupational type. Some limitations of this study and considerations for future study were also discussed.

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Occupational Stress and Risk Factors for Cardiovascular Diseases: Sang Baek Koh, Sei Jin Chang, Jong Ku Park, Jun Ho Park, Dong Koog Son, Sook Jung Hyun, Bong Suk Cha; Korean Journal of Occupational and Environmental Medicine 2005;17(3):186-198. Published online September 30, 2005; DOI: https://doi.org/10.35371/kjoem.2005.17.3.186

Abstract PDF

OBJECTIVES
The aim of this study was to elucidate the relationship between occupational stress and risk factors for cardiovascular diseases.
METHOD
The study subjects were 169 male workers aged over 40 who were employed in the shipbuilding industry. A self-reported questionnaire was used to assess the respondents' sociodemographics and occupational stress. Eight domains of occupational stress according to the Korean Occupational Stress Scale (KOSS) were used. We included blood pressure, lipid level (total cholesterol, triglyceride, HDL cholesterol), coagulation factors, pulse wave velocity and heart rate variability as possible cardiovascular risk factors.
RESULT
In multiple regression analyses, job demand was associated with triglyceride level, pulse wave velocity and heart rate variability. Interpersonal conflict was related to total cholesterol. Job insecurity was related to heart rate variability. Organizational system was associated with blood pressure, total cholesterol, pulse wave velocity and heart rate variability. Lack of rewards was related to systolic blood pressure and pulse wave velocity.
CONCLUSIONS
These results indicate that occupational stress is associated with cardiovascular risk factors.

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