|
KMID : 0371020050380010071
|
|
Journal of Preventive Medicine and Public Health
2005 Volume.38 No. 1 p.71 ~ p.81
|
|
|
Correlates of Self-rated Fatigue in Korean Employees
|
|
Chang Sei-Jin
Ha Eun-Hee
Cho Jung-Jin
Woo Jong-Min
Kim Hyeong-Su
Kim Sung-Ah
Lee Kyung-Jae
Hyun Sook-Jung
Park Jong-Ku
Koh Sang-Baek
Park Jun-Ho
Kang Dong-Mug
Kang Myung-Gun
Ha Mi-Na
Chang Seong-Sil
Park Jung-Sun
Cha Bong-Suk
|
|
|
Abstract
|
|
|
Objective: To elucidate the correlates of self-rated fatigue in Korean employees, Methods The data for 10,176 (men, 7,984; women, 2,192; mean age, 34.2; SD: 8.8) employees recruited from a nationwide sample were examined. A structured questionnaire was used to measure the participants´ fatigue, sociodemographics (sex, age, education, and marital status), job-related characteristics (work duration, grade at work, work hours, shiftwork, employment type, and magnitude of workplace), and health-related habits (smoking, drinking, coffee intake, and exercise). Two types of measurement for fatigue were used to evaluate the magnitude of fatigue: self-rated question and a standardized measurement tool (Multidimensional Fatigue Scale: MFS).
Results: According to the self-rated fatigue, 32% of employees reported that they felt fatigue for the past two weeks, and 9.6% of males and 8.7% of females had experienced excessive fatigue (6 months or more). Hierarchical multiple regression analysis showed that fatigue measured by MFS was more common in women, younger, college or more graduated, single, and employees who do not regularly exercise. Fatigue was also associated with long work hours, and the size of the workplace (<1,000 employees).
Conclusions : These results suggest that fatigue has been considered as a common complaint, and that it is affected by job-related factors like work hours and the workplace size as well as sociodemographics or health-related behaviors. Further research is needed to clarify the effects of fatigue on adverse health outcomes, work performance, work disability, sick absence and medical utilization, and to examine the relationship of job characteristics (e.g.: work demand, decision latitude) to fatigue.
|
|
|
KEYWORD
|
|
|
Fatigue, Health behavior, Epidemiology
|
|
|
FullTexts / Linksout information
|
|
 
|
|
|
Listed journal information
|
|
  
|
|