• The Journal of Korean Physical Therapy
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• v.18 no.5
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• pp.13-23
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• 2006

Purpose: This study was to investigate two-point discrimination(TPD) and related factors in rural community residents. Methods: The sample consisted of 68 people who have been living in rural community in June 2005 studied. TPD was measured from the tips of the thumb, index, middle, ring, and little finger of each hand with the TPD esthesiometer. The research was designed to be a cross-sectional measured study. SAS statistical software was used for the analysis. The characteristics of the study sample were described by mean and standard deviation(SD) for continuous variables and by frequency and percentage for categorical variables. The Student's t-test and analysis of variance (ANOVA) were used to compare TPD in gender and diabetes mellitus. A Pearson's correlation analysis was conducted for relationship among values of 5 fingers. Multiple regression analysis was performed to determine the factors associated with TPD. Results: A total of 68 residents were measured, their average $age{\pm}SD$ was $54.2{\pm}23.2$ years(range: $12{\sim}88\;yr$). The mean TPD for 5 fingers tips in dominated side was 4.76mm(thumb 3.98mm, index 4.22mm, middle 4.79mm, ring 5.17mm, and little finger 5.65mm, respectively). 4.91mm for thumb finger of women was significantly higher than 3.54mm that of men's in difference between gender(p=.01l4), also women(4.39mm) was higher than men(3.71mm) in median nerver area(p=.0318). There was a statistically significant difference in age(p=.0022), which were under age of 20(3.36mm), 30 years(3.61mm), 40 years(5.38mm), 50 years(4.84mm), 60 years(5.28mm), 70 years(5.18mm), and over age of 80(5.29mm). Factors related to TPD of fiver fingers by multiple regressions were gender(${\beta}=.03$, p=.0001). Conclusions: Taken together, gender and age were significantly associated with TPD. We recommend that further research should measure TPD by using larger sample sizes and more sensitive measurement instruments.

• Journal of Korean Society for Quality Management
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• v.41 no.1
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• pp.109-118
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• 2013

Purpose: Given the several proper models for given mixture components-process variables experimental data, we propose a strategy to find the optimal condition in which the performance of the responses is well-behaved under those models. Methods: Given the mixture experimental data with process variables, first we choose the reasonable starting models among the class of admissible product models based on the model selection criteria and then, search for the candidate models that are the subset models of the starting model by the sequential variable selection method or all possible regressions procedure. Good candidate models are screened by the evaluation of model selection criteria and checking the residual plots for the validity of the model assumption. Results: We propose a strategy to find the optimal condition in which the performance of the responses is well-behaved under those good candidate models by adopting the optimization methods developed in multiple responses surface methodology. Conclusion: A strategy is proposed to find the optimal condition in which the performance of the responses is well-behaved under those proper combined models. This strategy to find the optimal condition is illustrated with the example in this paper.

• Journal of Families and Better Life
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• v.21 no.2
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• pp.131-144
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• 2003

Selective Optimization with Compensation (SOC), a concept defined by Baltes and Baltes, is known to predict successful aging. This study was conducted to find out which factors affect Korean elderly people SOC The data for this study were obtained from a survey conducted between March and May 2001, on a sample of middle-class male and female participants over 60 years old. Two hundred and fifty four completed questionnaires were used for final analyses. Descriptive statistics, t-test, ANOVA, Duncan test, Pearson correlations, multiple regressions, multiple response frequencies and sequential threshold methods were used to analyze the data. In order to measure successful aging, the Selective Optimization with Compensation Scale developed by Baltes, Baltes, Freud, and Lang (1996) was used. The SOC scale consists of four subscales, Elective Selection, Loss-based Selection, Optimization, and Compensation. The major findings are summarized in the following. First, the level of SOC by various socio-demographic variables was examined. It tuned out that health status is the most important variable in predicting SOC. Also important was satisfaction with family life. Second, significant correlations were found between SOC and duration of the marriage (negative), practicing a religion, health, and economic stability (all positive). Third, religion and health status affected SOC, but health was a stronger predictor Those who practiced a religion and were healthy had a higher score in SOC as a whole. Fourth, the participants were divided into three groups by their SOC score, and their idea.; of successful aging were compared. The top- and middle-score groups considered satisfaction with family life to be more important, whereas the bottom-score group regarded the social status as more important.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.503-514
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• 2015

This article tried to suggest ways to improve satisfaction of their life, as finding the determinants of the disabled through the cross-section research by the Ministry of Health and Welfare. This article used data from the 2011 investigation of actual condition for the Disabled, which is a representative of the disabled in Korea. For statistical analysis, this paper used PASW statistics 18.0 (SPSS Inc, Chicago, USA). Analysis of frequency, descriptive statistic and multiple regressions were conducted. The level of significance was set up as 0.05. As the result, we found that life satisfaction of the disabled was influenced by all factors such as factor in discrimination, socioeconomic factors, disability and health factor. Therefore, we think that the government needs to prepare a systemic method for extending right of the disabled and improving rehabilitation and independent living.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.321-329
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• 2015

Purpose: This study was to explore the turnover intention and related factors of long-term care for hospital care workers. Methods: Data were collected from 150 health care workers by structured questionnaires in three different hospitals at K metropolitan city, Korea. Data was analyzed by using PASW (SPSS) 18.0 program with t-test, one-way ANOVA, Pearson's correlation coefficient, and multiple regressions. Results: study shown a negative correlation between turnover intention and self-esteem (r=.24. p=.004), job satisfaction (r=.50, p<.001), organizational commitment (r=59, p<.001), and social support (r=.32, p<.001). Variables of study such as turnover experience, job satisfaction and organizational commitment were revealed 40% of variance in turnover intention. Conclusion: study results suggested that, development program is needed which improve the hospital worker's job satisfaction, organizational commitment and reduces turnover intention for long-term hospital care.

• Journal of muscle and joint health
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• v.17 no.2
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• pp.192-202
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• 2010

Purpose: The purpose of the study was to examine the predictive relationships between predictors [(difficulty on daily activities due to arthritis, falls, and pain, grip strength, and activities of daily living (ADLs)], and perceived health in community-living older adults in Korea. Method: A descriptive, cross-sectional survey design was used. Data were obtained from Korean Longitudinal Study of Ageing conducted in 2006. A stratified sample was selected of 5,545 older adults who were over 60 years old for analysis of this study. Descriptive statistics, t-test, Pearson's correlations, and multiple regressions were used. Result: Mean age was 70.27 years (SD=7.27) ranged from 60 and 105 years old. Perceived health was significantly associated with grip strength, and ADL. With multiple regression, all main variables explained 22.1% for perceived health. Difficulty on daily activities due to pain was the strongest predictor on perceived health. Grip strength, ADLs, gender, and difficulty on daily activities due to arthritis and falls were also significant predictors on perceived health. Conclusion: When developing nursing intervention to improve perceived health in older adults, their difficulties on daily activities, grip strength, and ADLs should be assessed.

• Journal of Home Health Care Nursing
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• v.23 no.2
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• pp.195-205
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• 2016

Purpose: The aims of this study were to describe the levels of personal coping resources, perceived organizational supports, and job stress, and to examine factors that affect job stress in hospital-based home care nurse practitioners. Methods: A cross-sectional survey was conducted. Data were collected from 170 subjects with a structured questionnaire from April to July, 2016 and analyzed using descriptive statistics, t-tests, One-way ANOVA, Pearson's correlation, and multiple regressions. Results: The means for personal coping resources, perceived organizational supports, and job stress were $3.7{\pm}0.43$, $3.4{\pm}0.55$, and $3.4{\pm}0.55$ out of 5, respectively. Personal coping resources and perceived organizational supports were significantly correlated. However, both had no associations with job stress. In the multiple regression analysis, the experiences of home care nursing and hospital location were found to be predictors of job stress. Both personal coping resources and perceived organizational supports were not statistically significant predictors of job stress. Conclusions: It is necessary to carry out organization-based educational programs and support systems aimed at enhancing personal abilities to cope with stress at work. Additionally, further studies are needed to identify other hospital-related characteristics that can lead to job stress in home care nurse practitioners.

• Journal of muscle and joint health
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• v.19 no.3
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• pp.362-372
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• 2012

Purpose: The purpose of this study was to identify the predictive factors on quality of life (QOL) in the urban residents by age. Methods: A cross-sectional descriptive design was used. A total of 592 urban residents, ages of 20 to 59, completed a self-reported questionnaire including WHO QOL Scale-Brief (WHOQOL-BREF), Health Promoting Life Style Profile II (HPLP), Personal Competence of Health Care Scale (PCHC), and self-efficacy scale. Data were analyzed with descriptive statistics, t-tests, ANOVA, Pearson's correlation coefficients, and multiple regressions by SPSS 18.0. Results: The mean scores were 53.71 in QOL, and subscales were 14.41 in physical health, 13.31 in psychological, 13.87 in social relationship, and 12.12 in environment. There were significant differences by age groups, gender, education, family income, job, and present illness in QOL. QOL were significantly associated with HPLP, PCHC, and self-efficacy. The results of multiple regression indicated that HPLP, PCHC, marital state, and self-efficacy in the 20s, HPLP, self-efficacy, age, marital state, religion, and PCHC in the 30s, HPLP, PCHC, self-efficacy, and family income in the 40s, and HPLP, PCHC, self-efficacy, and gender in the 50s were statistically significant in predicting QOL. Conclusion: It is important to develop distinct programs by age for improving of quality of life for adults.

• Journal of the Korean Society of School Health
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• v.30 no.3
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• pp.240-250
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• 2017

Purpose: The purpose of this study was to compare the risk of being underweight between multicultural and Korean-origin adolescents. Methods: This study used the Korea Youth Risk Behavior Web-Based Survey data of 2016. A total of 46,457 underweight and normal-weight adolescents were included. General characteristics, health status and health behavior variables, and weight related variables were included. Weighted percentage and means were used to describe the sample. Simple and multiple logistic regressions were conducted using SAS 9.2. Results: From the simple and multiple logistic regression, multicultural adolescents showed a higher risk of being underweight (OR: 1.63, 95% CI: 1.20~2.20; AOR: 1.51, 95% CI: 1.01~2.27) than Korean-origin adolescents. Among the covariates, being female (AOR: 1.90, 95% CI: 1.72~2.10), being older (AOR: 1.18, 95% CI: 1.15~1.22), having poor self-health perception (AOR: 1.56, 95% CI: 1.24~1.82), having longer hours of sleep (AOR: 1.12, 95% CI: 1.09~1.16), having fewer days of exercise (AOR: 0.94, 95% CI: 0.91~0.96), and doing vigorous exercise less (AOR: 0.78, 95% CI: 0.68~0.89) showed a higher risk of being underweight. Self-rated health and effort to control weight were also significantly related to being underweight. Conclusion: Since multicultural adolescents are vulnerable to being underweight, it is necessary to develop intervention programs to reduce the number of underweight multicultural adolescents.

• Safety and Health at Work
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• v.12 no.4
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• pp.511-516
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• 2021

Background: Difficulties in walking and balance are risk factors for falling. This study aimed to predict dynamic balance based on demographic information and anthropometric dimensions in construction workers. Methods: This descriptive-analytical study was conducted on 114 construction workers in 2020. First, the construction workers were asked to complete the demographic questionnaire determined in order to be included in the study. Then anthropometric dimensions were measured. The dynamic balance of participants was also assessed using the Y Balance test kit. Dynamic balance prediction was performed based on demographic information and anthropometric dimensions using multiple linear regression with SPSS software version 25. Results: The highest average normalized reach distances of YBT were in the anterior direction and were 92.23 ± 12.43% and 92.28 ± 9.26% for right and left foot, respectively. Both maximal and average normalized composite reach in the YBT in each leg were negatively correlated with leg length and navicular drop and positively correlated with the ratio of sitting height to leg length. In addition, multiple linear regressions showed that age, navicular drop, leg length, and foot surface could predict 23% of the variance in YBT average normalized composite reach of the right leg, and age, navicular drop, and leg length could predict 21% of that in the left leg among construction workers. Conclusion: Approximately one-fifth of the variability in the normalized composite reach of dynamic balance reach among construction workers using method YBT can be predicted by variables age, navicular drop, leg length, and foot surface.