• 한국노년학
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• v.40 no.2
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• pp.291-309
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• 2020

In this study, the behavioral model of Andersen and Newman(1973) was applied to identify the factors influencing the use of senior centers by the elderly in the community, and the mediating effect of user satisfaction was improved to improve the satisfaction of seniors using the Senior Center and operate the Senior Center. This study attempted to suggest policy and practical alternatives for activation. The subjects were 578 elderly people using 2,283 senior centers in Busan. As a result, the factors influencing the total usage period of the Senior Center were analyzed by age and type of potential factors among the leading factors, and the factors affecting the total number of days of senior center usage during the week were gender, age, and education level among the preceding factors. Appeared. Factors affecting user satisfaction as a parameter were analyzed as subjective health status among gender, age, and desire factors among preceding factors. As a result of verification of mediating effect of user satisfaction, there was a partial mediating effect between age and total use of Senior Center, full mediating effect between gender and days of Senior Center use, and partial mediating effect between age and Senior Center use days. Analyzed. According to the purpose and main findings of the study, the policy and practical suggestions for activating the satisfaction and use of Senior Center are as follows. First, program development and support according to the characteristics of senior center users are required. Second, there is a need to characterize per-path according to senior center type and regional environment. Third, there is a need to improve and raise the support standards for senior center operating expenses.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.390-399
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• 2022

Purpose: This study was conducted to identify the factors affecting nursing students' resilience. Methods: The subjects were 192 nursing students from a college in G city. Data were collected from september 23 to 26, 2019 and analyzed using SPSS 22.0 and descriptive statistics, t-test, ANOVA, Sheffé test, Pearson's correlation coefficients, and multiple regression. Results: Resilience showed a statistically significant difference according to gender, grade, personal relation, motive for application, major satisfaction, grade point in general characteristics. Academic engagement and resilience showed apparent positive correlation (r=.37, p<.001), stress and resilience showed weak negative correlation (r=-.23, p=.001). In multiple regression analysis, the most affecting factor was the academic engagement (𝛽=.24), poor of subjective health status (𝛽=-.21), female (𝛽=-.19), junior of grade (𝛽=.13). These variables explained 33.0% of the total variance in resilience. Conclusion: To strengthen resilience in nursing students, learning atmosphere creation through intrinsic motivation in the regular class. Also, a variable academic engagement program should be provided to be able to positive thinking about academic study and achievement.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.49-55
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• 2022

This study is a secondary data analysis study to confirm the difference in responses to psychological and supportive factors of severely disabled according to proxy responses using the National Survey of the Disabled 2020. 738,169 people with severe disabilities who were 19 years of age or older, whose main disability was not an intellectual disability, were analyzed. χ²-test and t-test were performed using IBM SPSS Statistics 26.0. As a result of the study, the proxy response was more negative in sadness or hopelessness (χ²=952.20, p<.001), suicidal ideation (χ²=369.45, p<.001), and subjective health status (t=30.61, p<.001). And the proxy respondent answered that they need more support from others for daily life (t=209.43, p<.001) and have many difficulties in communication when using medical services (t=41.74, p<.001). When using a proxy response, the researcher should clearly state the point of view that the proxy respondent should take, and interpret the results considering that proxy response may be affected by various factors.

• 한국노년학
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• v.30 no.4
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• pp.1145-1161
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• 2010

The objectives of this study were to examine how social networks of old retirees impact on their retirement satisfaction, and through this, to suggest ways of improving their retirement satisfaction. Data used in this study were from 2006 KLoSA(Korean Longitudinal Study of Ageing), which were collected from 1,009 elderly people aged 65 and over who resided metropolis and smaller medium cities and answered regarding their retirement satisfaction. Data were analyzed by Binary Logistic Regression method. As a result, the frequency of contact with children, the number of participation in their social activities, and the satisfaction of relationship with children were the significant variables to predict retirement satisfaction. In addition, other variables such as gender, subjective health status, type of retirement, and duration of past retirement have been found as significant variables to explain retirement satisfaction. Implications for designing effective retirement plan and service systems have been discussed.

• Korean Journal of Culture and Social Issue
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• v.12 no.5_spc
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• pp.45-79
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• 2006

The purpose of this paper was to review the results of the subjective well-being(swb) studies performed by Hahn and coworkers in Korean culture. As the correlates of swb, we dealt with demographic/individual difference variables, intrapersonal variables, interpersonal process variables, and Korean cultural variables. We proposed that the components of swb were consisted of quality of life(cognitive swb) and overall happy feelings about one's own life(emotional swb). It was also assumed that a measure of total swb could be calculated by summated mean of cognitive swb and emotional swb measures. The data of the swb studies were analyzed and interpreted according to the above three measures of swb. The results of a nationwide survey(Hahn, 2004) from age of 19 to 75 years ald(n=2,230) showed significant simple correlation coefficients between the following demographic/individual difference variables and swb: Gender difference in swb was found(total swb r=.08, p<.001; life satisfaction r=.10, p<.001; overall emotional swb r=.05, p<.05). Men were happier than women in terms of all three measures of swb. It was also found that women appeared to experience greater positive and negative emotions. Correlation between age and emotional swb(r=.09, p<.001) was significant, but life satisfaction was not significant(r=.04, n.s). Correlations between economic status and swb were also significant(total swb r =.23, p<.001; life satisfaction r=.15 p<.001; overall emotional swb r=.15, p<.001l). Although existence of father was negatively related to emotional swb(r=-.05, p<.05), the existence of mother was not related to any of swb measures. Similarly existence of brothers was related positively to overall emotional swb, but existence of sisters was not. Though existence of son was not related to swb, daughter contributed negatively to swb(total swb -.12, p<.01; life satisfaction -.09, p<.05; emotional swb r=-.12, p<.01). We assumed that family member-in-Iaw also contributed to swb because the extended dose social networks were important in Korean culture. The results showed that the following family member-in-law variables were related to swb: Parents-in-law(total swb r=.11, p<.01; life satisfaction r=.10, p<.01; emotional swb r=.10, p<.01), father-in-law(total swb r=.11, p<.01; life satisfaction r=.11, p<.01; emotional swb r=.06, n.s). The result suggested that especially father-in-law contributed to swb through financial and social support. Correlations between emotional experiences in everyday life and swb were also presented. The range of correlation coefficients between the positive emotion measures and swb were r=.30~.48(p<.001) when the above two measures obtained at same time. But the range decreased to r=.19~32(p<.001) when the swb measure was obtained 9 month later longitudinally. Intercorrelations between positive emotional experience; and life satisfaction were r=.37~58(p<.001) when two measures were obtained at same time. We also examined the effects of the intrapersonal cognitive responses to the most stressful life event upon swb. The results of nationwide survey(n=1,021) showed that self-disclosure(total swb r=.09, p<.010; life satisfaction r=.10, p<.01; emotional swb r=.07, p<.01), rumination(total swb r=-.17, p<.001), thought avoidance(total swb r=.12, p<.001; life satisfaction r=-.08; emotional swb r=-.12, p<.001) and suppression(total swb r=-.13, p<.001; life satisfaction r=-.08, p<.05: emotional swb r=-.13, p<.001) contributed to swb. It was also suggested that mismatch between self-guide and regulatory focus contributed negatively to emotional swb. It was also found that social comparison motives and fulfillment of the motives contributed to swb. The results of a survey research(n=363 college students) revealed that the higher the general social comparison motive, the lower the swb(total swb r=-.15, P<.01: life satisfaction r=-.17. p<.01; emotional swb r=-.10, p<.05). It was also found that satisfaction level of self-evalution motive contributed positively to swb(total swb r=-.14. p<.01: life satisfaction r=-.12, p<.05; emotional swb r=.15, p<.001). Both of self-improvement motive(r=.13, p<.05) and satisfaction level of self-improvement motive(r=.12, p<.05) contributed positively to emotional swb, respectively. The above results suggested that swb was depended upon the interaction effect of social comparison motive; and level of fulfillment of the motives. We also reported the significant multiple predictors of swb in a sample of age from 60years to 89years olds. The results of multiple regression analysis showed that the significant multiple predictors of swb were past illness(β=.174, p<.001), economic status(β=.418, p<.001), marital satisfaction(β=.0841, p<.001), satisfaction of offsprins(β=.065, p<.01), expectation level of social support from offsprings(β=-.049, p<.001), and negative emotions(β=-.454. p<.001) among 16 social psychological factors. It was also found that swb was an important multiple predictors of physical health. This finding was replicated in a longitudinal study. Both of positive and negative emotional experiences were significant multiple predictors of physical health one year later. The results of the discriminant analysis showed both of total swb and positive emotional experiences contributed to discriminate the happy and healthy olds from unhappy and unhealthy olds. We paper also examined the effects of the nonnative social behaviors upon swb in Korean culture. The main hypotheses of the study(Hahn, 2006, in press) was that the important nonnative behaviors would influence on swb through both of the mediation processes of adjustment to social relationships and psychological stress. The survey data were collected from 2,129 adults age of 19 to 75, from 7 regional areas in Korea. The results of the study revealed that almost all of correlation coefficients between 15 normative social behaviors and the above three criteria w-ere significant. The fitness test results of the covariance structural equation model showed that all of the fitness indices were satisfactory (GFI=.974, AGFI=.909, NNFI=.922, NFI=.973, CFI=.974. RMR=.049, RMSEA=.073). The results of the analysis revealed that the following five path coeffi6ents from behaviors to social adjustment were significant; behavior tor family and family members(t=5.87, p<.001), courteous behavior(t=4.39, p<.001), faithful behavior (t=2.15. p<.05). collectivistic behavior(t=8.31, p<.001). Seven path coefficients from the normative behaviors to psychological stress were significant; behavior for family and family members (t=-4.63, p<.001), faithful behavior(t=-3.86, p<.001). suppression of emotional expression(t=3.99, p<.001), trustworthy and dependable behavior(t=-2.21, p<.05), collectivistic behavior(t=3.72, p<.001), effortful and diligent behavior(t=2.94, p<.001), husbandry and saving behavior(t=3.40, p<.001). The above results suggested that four normative behaviors among seven behaviors contributed negatively to psychological stress in current Korean society. The results abo confirmed the hypothesized paths from social adjustment (t=10.40, p<.001) to swb and from psychological stress(t=-19.74, p<.001) to swb. The important results of the study were discussed in terms of the Confucian traditions and recent social changes in Korean culture. Finally limitations of this review paper were discussed and the suggestions for the future study were also proposed.

• Journal of Nutrition and Health
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• v.49 no.6
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• pp.495-505
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• 2016

Purpose: This study was conducted to investigate and analyze the association between stress from shift and non-shift work as well as the effects living habits have on eating habits in order to identify why and how workers can improve their health and form proper eating habits for higher working efficiency. Methods: The subjects of this study were 361 workers from K manufacturing company from April 7 to 11, 2014 and they were surveyed using a questionnaire. The subjects were divided into two groups according to working pattern: shift workers (n = 216) and non-shift workers (n = 110). Results: In the general characteristics, there were significant differences in age, work career, work time, marriage, monthly income, and education levels between the two groups. For healthy behaviors, significant differences in subjective health status, moderate physical activity, drinking, smoking, and sleep time were observed between shift workers and non-shift workers. For eating habits, scores of non-shift workers having a regular mealtime, balanced meal composition, and vegetable and seaweed intakes were significantly higher than those of shift workers. The sum score of dietary habits in non-shift workers was also significantly lower than that in shift workers (p < 0.05). Total job stress score did not significantly differ between the two groups. Conclusion: The sum of eating habit scores according to work types was $16.1{\pm}0.6$ in non-shift workers and $14.0{\pm}0.3$ in shift workers. These results suggest that it is necessary to provide food suitable to characteristics of different workers according to work type which should be provided along with daily nutrition counseling to help subjects recognize their status.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.17 no.4
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• pp.289-299
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• 2007

Objectives : To investigate the related factors on musculoskeletal symptoms among Korean female workers. Methods : A total of 1,875 female workers (1,002 office workers and 873 blue-collar workers) was analyzed. They were randomly selected among female workers by cluster sampling and interviewed by well trained interviewer, who filled out a structured questionnaire on the musculoskeletal symptoms. Other factors such as general and occupational characteristics including workplace location, employment condition, work duration, and working condition were also investigated. Results : Current smokers and drinkers were significantly more common in blue-collar workers than in office workers. Those working full time were significantly more common in blue-collar workers than in office workers. Those working over 8 hours per day were also popular in office workers than in blue-collar workers. Subjective musculoskeletal symptoms were significantly higher in the type of work including excessive repetitive work, work using awkward stretching hand upwards, work using repetitive wrist movements, static work using awkward hand posture, and heavy manual lifting and handling works. The mean score of the symptoms were significantly higher in blue-collar than in office workers. The significantly different working factors between two groups were work duration, employment condition and daily work hours. Conclusion : We suggest that the type of work including awkward and repetitive works as well as job type may be one of the most important factors related to musculoskeletal symptoms of female workers in the workplace. Preventive strategy will be needed to prevent the negative impact on health status of working women in the workplace.