PURPOSE
Illness intrusiveness (illness induced lifestyle disruption) by symptoms was investigated in 439 patients with rheumatoid arthritis. METHOD: The cross-sectional and retrospective survey design was used. Fatigue, disability, pain, and depression were considered as symptoms of rheumatoid arthritis. RESULT: Patients were reported to perceive more illness intrusiveness than other chronic disease patients such as end stage renal disease, bipolar disorder, and peritoneal dialysis patients. They were especially intrusive into work, health, and active recreation domains. Stepwise regression analysis identified four variables counting for 26% of illness intrusiveness variances: fatigue, disability, marital status, and depression. All of the symptoms except pain were found to significantly predict illness intrusiveness. Fatigue explained 16% of illness intrusiveness variances. CONCLUSION: Fatigue and depression usually overlooked by health professionals must be carefully assessed and managed to reduce perceived illness for rheumatoid arthritis patients.

PURPOSE
This study was performed to identify the illness intrusiveness, quality of life, and their relationships in patients with chronic liver disease.
METHOD
Data was collected using scales of illness intrusiveness developed by Devins et al and Korean health related quality of life (KoQoLS) developed by Shim et al to measure the illness intrusiveness and quality of life from 141 chronic liver disease patients.
RESULT
The total mean score of illness intrusiveness was 38.85+/-18.45. The domain of illness intrusiveness which showed the highest mean score was health (4.60+/-2.02), and the lowest mean score domain was relationship with spouse (2.04+/-1.69). The subcategory of KoQoLS which showed the highest mean score was bodily pain (6.96+/-2.98), and the lowest mean score subcategory was vitality (2.75+/-1.20). There were negative relationships between illness intrusiveness and KoQoLS in all subcategories. Abovel all, Illness intrusiveness had the strongest negative relationship with role limitation (r=-0.641) among the KoQoLS subcategories.
CONCLUSION
Because the illness intrusiveness had negative influence on the quality of life in patients with chronic liver disease, further research will need to specify detailed illness intrusiveness and to explore influencing factors on quality of life in them.

Predicting factors of post-stroke depression were investigated. The subjects were 254 stroke patients who had been discharged and visited regularly the outpatient clinic for follow up care. The influencing factors were classified into five categories: demographic, disease-related, current state, social support, and illness intrusiveness. Sex, age, job, and educational level were defined as the demographic factor. The disease-related factors included stroke type, illness duration, attack frequency, and NIH score. ADL, cognitive function, and social activity were considered as the current state factors. The social support was measured as the perceived amount of social support. Illness intrusiveness means the perceived illness induced life style disruptions. Demographic, disease-related, current state, and social support were hypothesized to directly and indirectly affect post-stroke depression through illness intrusiveness. The illness intrusiveness was hypothesized to directly affect post-stroke depression. The hierarchial multiple regression was used to identify significant factors. The result showed that this model explained 43.3% of variance of post-stroke depression. And the prevalence of post-stroke depression was 38.8%. Among the demographic factors, job was identified as a main contributor to indirectly increase the post-stroke depression. Among the disease-related factors, stroke type, attack frequency, and NIH score were found to indirectly affect the post-stroke depression. Among the current state factors, ADL and social activity indirectly affected the post-stroke depression through illness intrusiveness. Social support and illness intrusiveness were identified to directly affect the post-stroke depression. This study has proved the factors likely to be implicated in the development of post-stroke depression. Based upon these results, it is recommended that the nurses who take care of post-stroke patients consider the risk factors such as social support, illness intrusiveness et al. Also programs which decrease the illness intrusiveness and increase the social support to reduce post-stoke depression recommended to be developed.