• Title/Summary/Keyword: Multidimensional Fatigue Scale

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A Study on the Fatigue of Hospital Nurses in Gwangju and Jeonnam Region (광주$\cdot$전남지역 병원 간호사의 피로 연구)

  • Kim Yeong Hie;Cho Soo Hyun
    • Journal of Korean Public Health Nursing
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    • v.16 no.2
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    • pp.271-284
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    • 2002
  • This study was to provide basic materials to help reduce the fatigue by analyzing what effective factor the fatigue of hospital nurses in Gwangju and Jeonnam region. and what causes their fatigue. This descriptive research by Questionaires includes two hospitals in Gwangju. and seven hospitals in Jeonnam region, total 9 hospitals sampled at convenience sampling. The periods of collecting data was from Jul.22, 2002 to Jul. 30, 2002. Multidimensional Fatigue Scale; MFS, developed by Jang Se-Jin(2000) was taken to measure the fatigue. All collected materials were got the statistics by SAS for Windows Release 8.01. The result of this study was as follows. 1. This study included total 740 nurses, whose age ranged from 22 to 50; 30 years old by average. Nurses fatigue mean score was 90.24 (the scope by the measuring instrument is 19-133). Nurses at University Hospitals marked 92.36 and those at General Hospitals marked 87.91 in the mean score of fatigue. 2. They kept tired at work, and felt more tired while working at computer in the hospital. 3. The part of body in which they felt fatigue was the calf and $feet(36.6\%)$, the shoulders and back of the $neck(30.7\%)$, and the whole $body(10.8\%)$ and the reason that they felt tired at work was mental $stress(33.0\%)$, overworking(25.2\%)$, and irregular working $conditions(14.7\%)$ in order. 4. The solution to their fatigue at work appeared nothing by $50.1\%$, and the way of releasing fatigue after work indicated getting some $sleep(30.8\%)$, and taking a bath or a $shower(21.7\%)$ in order. 5. The degree of fatigue depending on whether they were satisfied with their pay and labor condition appeared low: and when they were satisfied with doctors. and when they were getting on well with caregivers. 6. The effective factor of the degree of fatigue appeared: the influence that fatigue in the hospital makes on daily life was $10.6\%$, the cause of fatigue at work, $9.3\%$, time of fatigue at work, $7.8\%$, the relationship with caregivers, $5.3\%$. and these explanatory$(R^2)$ variables.$33\%$. To conclude. the degree of nurses' fatigue appeared high. and it was higher in nurses at University Hospitals than in ones at General Hospitals. In addition, the influence that fatigue from the hospitals made on daily life was the most explanatory.

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Correlates of Self-rated Fatigue in Korean Employees (우리나라 직장인 피로의 역학적 특성)

  • Chang, Sei-Jin;Kang, Myung-Gun;Hyun, Sook-Jung;Cha, Bong-Suk;Park, Jong-Ku;Park, Jun-Ho;Kim, Seong-Ah;Kang, Dong-Mug;Chang, Seong-Sil;Lee, Kyung-Jae;Ha, Eun-Hee;Ha, Mi-Na;Koh, Sang-Baek
    • Journal of Preventive Medicine and Public Health
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    • v.38 no.1
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    • pp.71-81
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    • 2005
  • 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.

Job Stress Level and It's Related Factors in Firefighters (소방공무원의 직무스트레스 수준과 관련 요인)

  • Choi, Mi-Suk;Ji, Dong-Ha;Kim, Jin-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.10
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    • pp.4917-4926
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    • 2012
  • This study was designed to assess the factor of influence to occupational stress who work in the field of firefighters and questionnaire was uesd to analyse the stress scores and find the primary factors influence to occupational stress. The number of respondents were 408 who received the refresher training and period of investigation was august 2011 through october 2011. A structured questionnaire was employed to evaluate the participants' socio-demographics, job-related factors, health-related behaviors, occupational stress, reaction factor (fatigue, job satisfaction) and buffer factor (social support). Occupational stress and fatigue were assessed using the Korean Occupational Stress Scale-Short Form (KOSS-SF) and the Multidimensional Fatigue Scale (MFS), respectively. The analysis showed that we found a strong correlation between fatigue, job satisfaction and occupational stress. Occupational stress was associated with an increased risk of fatigue and decreased the job satisfaction. In the multiple regression analysis(stepwise), main factor that influence to occupational stress were job satisfaction, gender, age, processing number for a day, exercise. In logistic regression analyses, a higher occupational stress was associated with higher odds of fatigue(High) and the odds was down by 15.0% after adjustment for job satisfaction, gender, age, processing number for a day, exercise. Thus, a job satisfaction promote program for the reduction of occupational stress and the promotion of firefighters's health is strongly recommended.

Degree of Dysmenorrhea and Self-management of Dysmenorrhea in the High-school Girl-student (여고생이 호소하는 월경곤란증 정도 및 대처방안)

  • Kim, Mi-Young;Jung, Moon-Sook;Chung, Kwi-Ae
    • Women's Health Nursing
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    • v.6 no.3
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    • pp.413-426
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    • 2000
  • The purposes of this study is to examine the degree of dysmenorrhea and self-management of dysmenorrhea in high school girls and to provide basic information for health education. This research is the contents of the characteristics and self-management of dysmenorrhea and thereby serve to provide some theoretical grounds for the health education of high school-girl students. The subjects of this study are the 376 girl students of a high school in Taegu. This study was conducted by collecting data from April 3rd to 7th, 2000. The instruments used for this study by the researcher of this study based on Choi, Myung-Ok's (1992) menstrurational symtom scale (8 items) and factors used to dysmenorrhea scale (5 items). Health locus of control is obtained from a review of references by the researcher, Sin Jae Sin (1985) translated Multidimensional health Locus of Control scale (18 items) were made by Wallston & Wallston (1976). The collected data was analysed by mean, percent, Chi-squre test, Fisher's Exact Test using the SPSS (v 6.12) and SAS program. The results of this study were as follows : 1. The characteristics of dysmenorrhea were low abdominal pain, fatigue, back pain, headache, muscle pain, diarrhea, nausea and vomiting. 2. The degree of dysmenorrhea was shown 'a few of discomfort experiment': 73%, late, leaving early and absent for school : 4.0%. 3. By means locus of control, internal health locus of control was shown 79.5% and external health locus of control was shown 20.5%. 4. The self-management of dysmenorrhea was shown 'massaging on the abdomen and bed rest' is 31.9%, 'tolerance' is 53.5%. 5. When the characteristics of dysmenorrhea was compared with demographics, low abdominal pain was significant of the number of siblings (p<.05), the family history (mother's dysmenorrhea)(p<.01) and back pain was significant of the age, family history, low abdominal pain (p<.05, p<.01, p<.01). 6. There was no significant of the locus of control. When the self-management of dysmenorrhea was compared with demographics, the age was significant (p<.05).

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