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Purpose: This study aimed to provide basic data for the development of an education program on diabetic foot prevention care for care helpers in long term care facilities. Additionally, it sought to determine care helpers' knowledge and practice regarding diabetic foot prevention care, and to identify the correlation between such knowledge and practice. Methods: This cross-sectional study employed a structured questionnaire. Participants consisted of 90 care helpers who were working in three long term care facilities in Jeju city. Data collection was conducted from September to November 2016. Results: The mean knowledge and practice scores were 8.77±1.28 (range 0~10) and 28.17±2.44 (range 10~30), respec�tively. Practice regarding diabetic foot prevention care was significantly different by care helpers’ gender (t=-2.28, p=.024), period of career in the long term care facility (F=3.29, p=.025), and received education on diabetic foot prevention care (t=3.08, p=.005). A positive correlation was observed between knowledge and practice (r=.35, p<.001). Conclusion: To improve the practice of diabetic foot prevention care, specialized education programs that consider gender and period of career in the long term care facility as well as the improvement of the level of knowledge of care helpers on diabetic foot prevention care are needed.
Purpose: This study aimed to identify the relationships among life satisfaction, activities of daily living, depression and health behavior in low income elderly living at home. Methods: Study participants were 455 elderly who were receiving home visit services from the Daegu Regional Office of Patriots and Veteran Affairs. Data were collected through personal interviews using questionnaires from July to August, 2010. Results: Average scores of ADL and IADL were 7.82 out of 21 and 12.67 out of 33 respectively, which indicate relatively independent to everyday life. Mean scores of depression, health behavior and life satisfaction were 8.61 out of 15, 88.14 out of 132 and 48.57 out of 60. There were significant relationships among the variables of life satisfaction, activities of daily living (ADL, IADL), depression and health behavior. A significant factor influencing life satisfaction was health behavior (β=.134, p=.020). Conclusion: The findings of this study would be a useful information for constructing an intervention program to care for elderly.
Purpose: This study is a secondary data analysis study to identify factors related to the quality of life of people aged 65y or older, according household type. Methods: In 2019, the study extracted the data from the elderly participants (65y of age or older) from G province Community Health Survey. The data were compiled and analyzed in a composite sample. Results: The quality of life was lowest among single people, grandparents-grandchildren (F=39.88, p<.001). Variablesthat significantly influenced quality of life in single-person households were basic security(β=-.03, p=.002), high-riskdrinking (β=.04, p=.002), number of day to walk (β=.01, p<.001), diabetes mellitus (β=-.03, p<.001), depression (β=-.02,p<.001), and contact frequency (β=.00, p<.001). Variables that significantly influenced grandparents-grandchildrenhouseholds were basic security (β=.03, p<.001), smoking(β=-.02, p<.001), number of day to walk (β=.00, p<.001),hypertension (β=-.01, p=.009), diabetes mellitus (β=-.04, p<.001), cognitive impairment (β=-.02, p<.001), depression(β=-.02, p<.001), contact frequency (β=.01, p<.001), and neighborhood trust (β=.02, p<.001). Conclusion: In this study,there were differences in health-related quality of life for each type of household, and various support systems are neededin their social networks to suit their characteristics
Purpose: The purpose of this study was to examine the effect of a walking program on body mass index (BMI), blood pressure, cholesterol, and blood glucose in community-dwelling older adults. Method: A quasi-experimental research design (one group pretest-posttest) was employed. Participants were recruited in Seoul and a total of 57 community-dwelling older adults completed the 10-week walking program. Descriptive statistics and paired t-tests were used in the data analysis by SPSS WIN 14.0. Result: The participants showed lower BMI, systolic blood pressure, diastolic blood pressure, cholesterol level, and blood glucose level after than before participation in the walking program. Body mass index significantly decreased (t=2.911, p=.005) after completing the walking program. There were, however, no significant changes in blood pressure, cholesterol, and blood glucose after completing the walking program. Conclusion: Findings of this study indicated that the 10-week walking program had favorable effect on BMI. Future research needs to target various older adult groups during a long-term period.
Purpose: This study aimed to identify and prioritize the content needs of patients with osteoarthritis (OA) for developing self-management mobile applications. Methods: A total of 126 participants with OA were recruited from two orthopedic hospitals. They completed the self-report questionnaires after providing written informed consent. The Borich needs assessment model was used to assess the perceived level of competence and perceived level of importance regarding 21 items for self-management of OA. The collected data were weighted and ranked in order of priority. Results: The top five content items needed by OA patients were ‘How to avoid excessive use of the joints’ (15.03); ‘Lifestyle tips on the prevention and management of arthritis’ (13.69); ‘Exercise types and procedures for OA’ (12.54); ‘Good and bad exercises for the joints’ (9.80); and ‘Precautions for exercise (duration, frequency, safety)’ (8.88). Need rankings related to causes and treatment of OA were relatively low. Conclusion: OA patients requested self-management competencies that should be practiced in daily activities to reduce the discomfort. The results of this study have practical implications for defining the content of self-management applications for patients with OA. Based on the results, developing a self-management intervention program for OA patients using a mobile is recommended.