Purpose: This study was to investigate the prevalence of depressive symptoms and risk factors in elderly people (old vs oldest-old) with arthritis. Methods: The Korean Longitudinal Study of Aging (KLoSA) was used with a sample of 1,084 elderly people with arthritis aged 65 or above. Results: We found that the prevalence of depressive symptom was greater for oldest-old people (66.7%) compared to old people (56%). Significant differences between old people and oldest-old people were found for education, living with spouse, number of generation, regular exercise, body mass index (BMI), ADL limitation, self-rated health, and depression. Significant differences existed between depression and non-depression in terms of all variables except region and BMI among old people. But, among the oldest people, ADL limitation and self-rated health showed differences. The Logistic regression analysis revealed that religion, medical comorbidity, ADL limitation, self-rated health were significantly associated with depressive symptoms in old people. But, in oldest-old people, none of the variables were associated with depressive symptoms. Conclusion: The findings show that there are age differences in depression and related factors in elderly people with arthritis. Longitudinal studies, which covered depressive symptom severity and which are controlled for a large number of potential confounders, will need to complement the results of this study in the future.

This study was done to investigate levels of health and subjective life expectancy for community-dwelling elders and to identify factors affecting subjective life expectancy. Methods: For the data of this study were used from the Korean Longitudinal Study of Aging (KLoSA), a national panel data set. From the 2014 data set, data on 2,362 participants over 65 years of age and within normal cognitive levels were analyzed using t-test, ANOVA, and multiple regression analysis. Subjective life expectancy was defined as the individuals' estimate of their possibility of living another 10~15 years by age group. Results: Subjective life expectancy for the total participants was 51.85 out of 100 points. More than 50% participants rated their perceived health status as above the level "fair". Subjective life expectancy were different depending on perceived health status, vision, hearing, chewing, number of chronic diseases, depression, and ADL. Significant factors for subjective life expectancy were identified as perceived health status, vision, number of chronic diseases, and depression. Conclusion: The results indicate that positive perception of health status and integrated care for health conditions (depression and chronic disease) is needed to increase subjective life expectancy.

This provides evidence that a PABM-intervention is effective in changing metabolic risk factors such as waist circumference, systolic BP, diastolic BP, and HDL-cholesterol in overweight and obese elementary school children.

연구의 필요성세계적으로Purpose: This study was carried out to develop standardized telephone counseling guidelines regarding symptom management for patients discharged after colorectal cancer surgery, and to apply and assess it in practice in order to increase patient satisfaction and compliance level. Methods: Five frequent symptoms; pain, diarrhea, constipation, bowel obstruction and wounds were extracted by a preliminary survey. Results: For wound and bowel obstruction, the most frequent applied guideline was ER recommendation, and it was statistically significant (p < .002). The assessment result of guideline application (satisfaction rate, compliance rate and symptom resolution) shows an average satisfaction rate of 3.80 on a 4 point scale and all 6 cases which recommended immediate ER visits followed the guidelines. Conclusion: According to the result of this study, the developed guidelines are worth while to increase patient satisfaction as well as to resolve symptoms.

Findings provide the evidence for the theoretical and empirical significance of perceived social support and family hardiness as family resiliency factors for family adaptation. Clinical implications of these findings might be discussed in terms of family-centered nursing interventions for the families who have a child with congenital heart disease based on an understanding of family resiliency for adaptation.