To investigate the general characteristics of video display terminal (VDT) workers with lower extremity pain, to identify the risk factors of work-related lower extremity pain, and to examine the relationship between work stress and health-related quality of life.
A questionnaire about the general characteristics of the survey group and the musculoskeletal symptom was used. A questionnaire about job stress used the Korean Occupational Stress Scale and medical outcome study 36-item Short Form Health Survey (SF-36) to assess health-related quality of life.
There were 1,711 subjects in the lower extremity group and 2,208 subjects in the control group. Age, sex, hobbies, and feeling of loading affected lower extremity pain as determined in a crossover analysis of all variables with and without lower extremity pain. There were no statistically significant difference between the two groups in terms of job stress and SF-36 values of the pain and control groups.
Job stress in VDT workers was higher than average, and the quality of life decreased as the stress increased. Factors such as younger age, women, hobbies other than exercise, and feeling of loading influenced lower extremity pain of workers. Further long-term follow-up and supplementary studies are needed to identify risk factors for future lower extremity pain, taking into account ergonomic factors such as worker's posture.
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To evaluate the level of health-related quality of life (HRQoL), life satisfaction, and their present awareness of cardiac rehabilitation (CR) program in people with cardiovascular diseases.
A questionnaire survey was completed by 53 patients (mean age, 65.7±11.6 years; 33 men and 20 women) with unstable angina, myocardial infarction, or heart failure. The questionnaire included the Medical Outcome Study 36-item Short-Form Health Survey (MOS SF-36), life domain satisfaction measure (LDSM), and the awareness and degree of using CR program.
The average scores of physical component summary (PCS) and mental component summary (MCS) were 47.7±18.5 and 56.5±19.5, respectively. There were significant differences in physical role (F=4.2, p=0.02), vitality (F=10.7, p<0.001), mental health (F=15.9, p<0.001), PCS (F=3.6, p=0.034), and MCS (F=11.9, p<0.001) between disease types. The average LDSM score was 4.7±1.5. Age and disease duration were negatively correlated with multiple HRQoL areas (p<0.05). Monthly income, ejection fraction, and LDSM were positively correlated with several MOS SF-36 factors (p<0.05). However, the number of modifiable risk factors had no significant correlation with medication. Thirty-seven subjects (69.8%) answered that they had not previously heard about CR program. Seventeen patients (32.1%) reported that they were actively participating in CR program. Most people said that a reasonable cost of CR was less than 100,000 Korean won per month.
CR should focus on improving the physical components of quality of life. In addition, physicians should actively promote CR to cardiovascular disease patients to expand the reach of CR program.
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Objective: To assess overall quality of life (QOL) in lower limb amputees and identify the factors affecting their quality of life.
Method: This study was designed as an interview survey using the questionnaire. The subjects were 78 lower limb amputees (male 76, female 2) and the age matched 39 healthy adult males consisted control group. Interview questionnaire included level of education, religion, marital status, occupation and income. Depression was measured by the Beck depression inventory (BDI). The QOL was measured by the MOS 36-item short-form health survey (SF-36). The SF-36 scores of amputee group were compared with that of control group, and were compared according to the various factors.
Results: The mean overall scores of QOL in amputee and control group were 50.2⁑21.7, 73.6⁑12.7 respectively (p＜0.05). The mean scores were significantly reduced in amputee group as compared with the control group in entire dimension (p＜0.05). Depression and numbers of combined diseases had a negative effect on multiple areas of QOL (p＜0.05), however, occupation, income, amputation level, and time after amputation had no significant effect (p＞0.05).
Conclusion: The QOL assessed by SF-36 indicated relatively low functional and well-being status in amputees. Depression and combined diseases would be a most important factors on QOL.
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