Predicting Factors of Post-Stroke Depression / 성인간호학회지

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.

Depression of Stroke Patient's Family Caregivers and the Relating Factors / 간호학회지

In this paper, we examined the depression of stroke patient's caregivers and analyzed influencing factors of the depression. The subjects were 215 caregivers who have takencare of stroke survivors in their home. The conceptual model of this study consisted of the caregiver's depression, perceived burden, illness intrusiveness, and patient's ADL. Modified Korean CES-D, modified subjective and objective Burden Scale, Illness intrusiveness(II), and Instrumental Activity of Daily Living(IADL) were used to measure concepts. Path analysis was used to test the model of this study. The results were as follows: 1. The mean depression score was 11.6 which was below the cut-off score of the CES-D. This score indicates that the subjects were higher than normal adults' mean score but not depressive. Eighty-six out of 215 caregivers(40%) were above the cut-off score. This finding was different from previous research results, and the reason might be the patients' capability of ADL. In a group of low capability patient's activities of daily living, caregiver's depression score was 15.5. 2. Caregiver's depression was positively related to caregiver's burden and illness intrusiveness, but negatively related to patient's activities of daily living. 3. The caregiver's perceived burden and illness intrusiveness directly influenced on their depression. Furthermore, the and caregiver's illness intrusiveness led to depression indirectly through their burden. A patient's activities of daily living didn't influence directly on depression but indirectly through caregiver's illness intrusiveness and burden.