• Journal of Korean Academy of Nursing
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• v.30 no.2
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• pp.437-451
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• 2000

The purpose of this study was to estimate the forecast of bed demand for institutional long-term care for the elderly persons in Taegu Metropolitan City. The study subject was the total 1,877 elderly persons over age 65 living in Taegu. Among them 1,441 elderly persons were sampled from community and 436 were from the elderly admitted 5 general hospitals. Data collection was carried out by interview from 25 August to 25 December 1997. The measuring instrument of this study was the modified tool of CARE, MAI, PCTC, and ADL which were examined for validity and reliability. In order to forecast bed demand of Nursing Home, this study revised prediction techniques suggested by Robin. The results were as follows : 1. OLDi of Taegu City were 122,202 by the year 1998 and number of Low-Income Elderly Persons were 3,210. 2. The Level I : Senior Citizen Home $ADEMi=\frac{AQi * ASTAYi}{365 * AOCUi}$. AQi = OLDi * LADLi * NASi * ALONi * LIADLi * AUTILi. Predicted number of bed demand for Home Based. Elderly Persons were 4,210 and Low-Income Elderly Persons were 1,081 and Total Elderly Persons were 5,291 by the year 1998, 6,343 by the year 2000 and 8,351 by the 2005. 3. The Level II : Nursing Home $BDEMi=\frac{(BQ1i+BQ2i) * BSTAYi}{365 * BOCUi}$. BQ1i = OLDi * HADLi * ALONi * HIADLi BQ2i = OLDi * HADLi * FAMi * OBEDi Predicted number of demand for Total Elderly Persons were 668 by the year 1998, 802 by the year 2000 and 1,055 by the 2005. 4. The Level III : Nursing Home $CDEMi=\frac{COLDi * HDISi * CUTILi * CSTAYi}{365 * COCUi}+OQi/10$ Predicted number of demand for Total Elderly Persons were 1,899 by the year 1998, 2,311 by the year 2000 and 3,003 by the 2005. 5. Predicted number of bed demand of long-term care facilities in the year 1998 according to Levels were 4.3% among elderly persons in Taegu by Level I, 0.5% by Level II and 1.5% by Level III. Number of elderly persons in current long-term care facilities were 458 in LevelI I,284 in Level II. 6. Deficit number of bed demand of long-term care facilities were 4,833 in Level I, 384 in Level II, 1,899 in Level III for the elderly persons in Taegu Metropolitan City.

• Journal of the Korean Society of Food Culture
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• v.34 no.4
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• pp.389-400
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• 2019

In this study we compared the cognitive function (Mini-Mental State Examination for Dementia Screening: MMSE-DS) and nutrient intake of elderly women with dementia in a long-term care facility (EW-LCF) and a day-time care facility (EW-DCF). This survey was conducted from July 2015 to May 2017 on 73 elderly women with dementia (47 women in LCF and 26 women in DCF) in the city of Incheon. The data obtained from interviews with the subjects and caregivers were analyzed using the SPSS 20.0. The total score of the MMSE-DS and intakes of most nutrients in the EW-LCF were significantly lower compared to the EW-DCF (p<0.05). The nutrient adequacy ratios (NAR) of protein, vitamin A, C, $B_6$, $B_{12}$, thiamin, riboflavin, niacin, folic acid, calcium and phosphorus in the EW-LCF were significantly lower compared to the EW-DCF (p<0.05). However, the indexes of nutritional quality (INQ) of vitamin C, $B_6$, thiamine, niacin, calcium, magnesium, and iron in the EW-LCF were significantly higher compared to the EW-DCF (p<0.05). As a result, the subjects showed an unbalanced and insufficient nutrition intake status regardless of the type of care facility. Most nutrient intakes of the EW-LCF with lower cognitive function were very significantly lower compared to the EW-DCF (p<0.001). Therefore, it is necessary to assess the cognitive function and nutritional status regularly at care facilities for the elderly women suffering with dementia and to provide specialized individual nutritional management.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.300-308
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• 2013

The purpose of this study was to explore the level of anger and social support and to identify factors affecting anger in elderly women. This was a cross-sectional descriptive survey. A convenience sample of 155 elderly women was recruited from two senior welfare centers and three nursing homes in J city. Data were collected from June 15 to July 15, 2010 through interviews using a structured questionnaire. Data were analyzed with descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation coefficient, and multiple linear regression using the SPSS WIN 18.0 program. The level of social support and anger was 3.73 and 2.72 out of 5, respectively. Anger was statistically significantly different according to type of residence (B=0.21, t=2.42, ${\rho}$=.017), psychiatric medication (B=0.66, t=4.93, ${\rho}$ <.001), physical medication (B=0.41, t=4.22, ${\rho}$ <.001), and evaluation support (B=-0.15, t=-3.00, ${\rho}$=.004), and these accounted 33.0% of anger. Providing proper information and developing social support program would be useful for managing anger of elderly women.

• 한국노년학
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• v.31 no.4
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• pp.1155-1167
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• 2011

The purpose of this study was to investigate the frequency of falls, fear of falling, perceived health status, and number of disease according to cognitive function in community-dwelling the elderly women. This study utilized a descriptive survey design. Data were collected for six months with 311 elderly women who visited in public health center at S city. After obtaining Institutional Review Board(IRB) approval, a face-to-face, and private interview was conducted with each participant who was eligible and agreed to participate in this study by trained graduate-level nursing students. The questionnaires consisted of MoCA-K, K-MMSE, Fall Efficacy Scale, PHS scale. The collected data were analyzed with SPSS/WIN 17.0 program, which was used descriptive statistics, Chi-Square test and t-test, Correlation. The major findings of this study were as follows; 1) The average age of the subjects was 71.68±5.13 and cognitive function score was 22.14±4.32. approximately 35% of participants had fallen within one year. 2) there were significant differences in perceived health status according to cognitive function. 3) fear of fall and cognitive function, perceived health status and cognitive function were significant correlation. In conclusion, this study will contribute to establish strategies for preventing fall. Interventions for fall prevention and fear of fall enhancement should be developed with the consideration of the level of cognitive function in the elderly. Reducing the fear of falling through the comprehensive nursing intervention will ultimately improve the quality of life in the elderly.

• 한국노년학
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• v.32 no.3
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• pp.689-701
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• 2012

The purposes of this study were to identify the changes of postprandial blood pressure and pulse rates of elderly living in nursing homes by time and position after a meal. Blood pressure and pulse rates of 141 elderly aged over 65 years were measured at before the meal to 90 minutes after the meal by 15 min. interval. Data were analyzed by descriptive statistics, repeated measures of ANOVA, ANCOVA, and t-test using the SPSS program. There were no significant differences in change of systolic blood pressure and pulse rates by time between sitting group and lying group after meal. The biggest drops in systolic pressure in sitting and lying position were occurred at 30 min and 45min respectively after the meal. There were no significant change in pulse rates except for the immediately after meal in lying position. To prevent complications of postprandial blood pressure reduction, nurses should carefully monitor blood pressure of elderly in lying position at least from 30 min. till to 90 min. after the meal.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.119-125
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• 2022

With the recent increase in dementia patients due to aging, measures to prevent their wandering behavior and disappearance are urgently needed. To solve this problem, various authentication methods and location detection techniques have been introduced, but the security problem of personal authentication and a system that can check indoor and outdoor overall was lacking. In order to solve this problem, various authentication methods and location detection techniques have been introduced, but it was difficult to find a system that can check the security problem of personal authentication and indoor/outdoor overall. In this study, we intend to propose a system that can identify personal authentication, basic health status, and overall location indoors and outdoors by using wristband-type wearable devices in a private blockchain environment. In this system, personal authentication uses ECG, which is difficult to forge and highly personally identifiable, Bluetooth beacon that is easy to use with low power, non-contact and automatic transmission and reception indoors, and DGPS that corrects the pseudorange error of GPS satellites outdoors. It is intended to detect wandering behavior and abnormal signs by locating the patient. Through this, it is intended to contribute to the prompt response and prevention of disappearance in case of wandering behavior and abnormal symptoms of dementia patients living at home or in nursing homes.

• 한국노년학
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• v.29 no.1
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• pp.243-258
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• 2009

Background: Falls are among the most common and serious health problems of older people. The psychological symptoms of falling have received relatively little attention compared to physical problems. Objective: The purpose of this study is to test a model to explain the factors that influence fear of falling among older adults living in a continuing care retirement community (CCRC) in Baltimore city, United States. Methods: A secondary analysis was conducted using data obtained from a Health Promotion Survey done on 149 older adults living in a CCRC. Data was originally obtained during face to face interviews with each participant. Descriptive statistics and bivariate correlations were used to describe the sample and evaluate simple correlations. A path analysis was done using the AMOS 4.0 statistical program. Results: Of the 49 hypothesized paths, 13 were statistically significant, and the model accounted for 22% of the variance in fear of falling among the elderly. There was support for the fit of the model to the data with a nonsignificant chi square at 0.478 (df=2, p=0.79), and the ratio of chi-square to degrees of freedom was 0.24, a CFI of 0.99 and RMSEA of 0.00. In particular, gender, a history of falling, and exercise were significant predictors of fear of falling. Conclusions/Implications: As anticipated, exercise is an important factor to prevent fear of falling. As a modifiable variable, self-efficacy and outcome expectation indirectly influence fear of falling through exercise.