Purpose - The main purpose of this study is to investigate service industry employee' perceptions of Work-Life-Balance (WLB) and the influences of these perceptions on their overall Quality of Life (QOL). The study hypothesizes that employees' overall Quality of Life is influenced by Work-Life-Balance. Design/methodology/approach - The target population for this research consisted of service industry employees. The data was collected using the online-survey method and 449 usable responses were analyzed using AMOS program. Findings - The results indicated that psychological environment and family environment positively affected overall quality of life each, and work environment negatively influenced on overall quality of life. Research implications or Originality - Despite the importance of Work-Life-Balance (WLB), most of previous studies have investigated WLB from company perspective while limited research has examined employees' WLB perceptions. The findings of this study enrich knowledge of WLB from employee perspective especially in service industry.
This study was undertaken to develop an instrument to be used for measuring the concept of quality of life of Korean patients with cancer multidimensionary and correctly. It can contribute in holistic nursing care for Korean cancer patients and also provide and validate basic data to help oncology nurses measure the outcome of nursing intervention correctly. To develop this instrument, the researchers first estabilished a conceptual framework based on the results of qualitative data analysis and indepth interview method Development of the scale was conducted using a method in which 31 items were assessed by subjects' self report using linear analogue scales. The subjects were 79 D.M. patients, 103 patients with acute illness, and 91 cancer patients residing in Busan, Korea. Data were collected during the period from July, 24 to August 14, 2000. This instrument consisted of 31 items with a self report scale. This instrument covered 4 dimensions of cancer patients : 1) physical wellbeing 2) psychological wellbeing 3) social wellbeing and 4)spiritual wellbeing. Each item had a possible score of 10. The reliability of the scale was tested with Cronbach's alpha. Validity was evaluated by examining the relationships of this scale, Youn's Quality of Life Questionnare scores and the Simple Quality of Life scale. Two separate runs of multiple regression were used to predict scores on the Simple Quality of Life measurement. Further validation was obtained by examining the correlation between the instrument subscores and Youn's Quality of Life measurement subscore for convergence of this scale. Examination of the discriminant. power of the instrument was done using ANOVA test. The results are summarized as follows: 1. The reliability of the instrument for the quality of life was 0.8321(Cronbach's alpha.), physical wellbeing dimension 0.6343, psychological wellbeing dimension 0.6501, spiritual wellbeing dimension 0.5883. 2. This instrument had a high correlation with Youn's Quality of Life measurement(r= 0.636) in cancer patients, whereas it had a low correlation with Simple Quality of Life measurement(r=0.455) in cancer patients. In the D.M. patients, the instrument correlated with both the Youn's Quality of Life measurement and Simple Quality of life measurement(r=0.313, r= 0.407) and in the acute stage patients, the instrument had no correlation. 3. Multiple regression of individual items on the Simple Quality of Life scores accounted for 56.8% of the variance in the Simple Quality of Life measurement, whereas, Youn's Quality of Life measurement scores accounts for 31.7%. 4. The correlations collected from the three group had the same patterns of variations but especially the instrument developed in this study had higher disciminant power than that of Youn's Quality of Life Measurement.
Purpose: The purpose of this study was to identify factors influencing quality of life in kidney transplant recipients and to understand the concrete pathway of influence and the power of each variable, so that integrated prediction model to promote the quality of life of kidney transplant recipients could be developed. Methods: The sample was composed of 218 patients in follow-up care after a kidney transplant in one of 4 university hospitals in the Honam area. A structured questionnaire was used and the collected data were analyzed for fitness, using the LISREL program. Results: This model was concise and extensive in predicting the quality of life of kidney transplant recipients. Conclusion: The research verified the factors influencing quality of life for kidney transplant recipients and it verified that direct factors such as perception of health state, compliance, self-efficacy, stress and indirect factors such as self-efficacy and social support can be important factors to predict the quality of life for recipients. Moreover, those variables represent 87% of variance in explaining quality of life in a prediction model so that the variables can be utilized to predict quality of life for kidney transplant recipients.
Purpose: The purpose of this study was to identify factors contributing to health-related quality of life in patients under rehabilitation after stroke. Methods: A descriptive correlational study design was used. Ninety-two stroke patients under rehabilitation from a university hospital were included. Data were collected on March and April, 2013 using structured questionnaires. Hierarchial multiple regression analysis was used to identify factors influencing health-related quality of life. Results: There were significant differences in health-related quality of life according to type of impairment. The health-related quality of life had significant correlations with age, functional dependency, and stress. Factors influencing health-related quality of life for stroke patients under rehabilitation were stress, functional dependency, type of impairment, and age, which explained about 34.5% of total variance. Conclusion: To promote health-related quality of life for stroke patients under rehabilitation, stress and functional dependency should be managed in this population, especially for older adults. Also these results can be utilized in the development of program for helping rehabilitation of stroke patients. The effect of depression and anxiety on health-related quality of life should also be addressed in future research.
There is a growing awareness that physical barriers affect the level of independence of people with disabilities. Many researchers insist that barrier free design could influence independence living and quality of life of the disabled. The purpose of this study is to find out the effects of accessible design features of house and public facilities on quality of life of disabled people. A total of 189 questionnaires from the disabled who visited public welfare facilities was analyzed. In order to find out what variables among accessible features in housing and public spaces impact quality of life, multiple regression analysis was carried using SPSS 14. The results showed that accessible designs significantly influence quality of life of the disable. The main reason in which the disabled have difficulties when they move outside is a lack of accessible amenities and facilities. Particularly in house design, accessible main entrance route and accessible main entrance door, and removal of floor level significantly affects quality of life of the disabled. For public spaces, accessible main entrance and installation of ramp or removal of floor levels of main entrance and corridor increase quality of life people with disabilities. This paper suggested that the improvement in housing and public space, in which regulation or bylaws do not specify, should be made to increase accessibility for life quality of the disabled.
Seo, Won-Jae;Jang, Joo-Young;Kim, Yong-Eun;Han, Seung-JIn
Journal of Sport and Applied Science
/
제2권1호
/
pp.25-38
/
2018
One of the largest and fastest growing segments of the tourism industry, sport tourism refers to travel to play sports, watch sports, or to visit a sport attraction including both competitive and non-competitive activities. In this respect, cycling can be considered as not only a form of physical exercise but also a form of tourism in which cycling is a usual tourism-related activity, heading to a particular destination. The purpose of this study is to examine how demographical differences of cycle tourists are related to the quality of their life. An online survey was conducted and data was analyzed using frequency, reliability, and one - way ANOVA using SPSS 22.0. First, we found that there was no significant difference on the quality of physical life based on demographical characteristics. Second, the analysis of the relationship between demographical characteristics and the quality of mental life showed that income level affects their quality of mental life. Third, the analysis of the relationship between socio demographic characteristics and the quality of social life showed that marital status affects the quality of social life. Fourth, no statistically significant difference was found between the demographical characteristics and the quality of environmental life. Further implications were discussed.
Purpose: The purpose of this study was to test a model for quality of life among infertile women. This model was based primarily on the concept of the Fertility Quality of Life by Boivin et al. (2011) and the Infertility Resilience Model by Rindenour (2009). Methods: Fifteen measurable variables were used to estimate quality of life. They included endogenous variables such as fertility quality of life and resilience, and exogenous variables such as infertility related stress, depression, marital adjustment, and family support. Data sets (n=203) used for analysis were collected in a general hospital which had, on average, 400 assisted reproductive technologies per month. Results: The assessment of the modified model indicated acceptable fit, with $x^2/d.f$=2.07, GFI=.90, AGFI=.89, NFI=.89, CFI=.91, RMSEA=.07. Depression, infertility related stress, marital adjustment, resilience, and family support had direct influences on quality of life. Conclusion: The results of this study should contribute to the development of nursing intervention programs to enhance quality of life using factors that affect fertiQol (fertility quality of life) of infertile women.
Purpose: This study was to investigate the factors influencing the quality of life of patients with hemophilia and to provide the data for health promoting intervention in order to improve their quality of life. Method: The subjects of this study were involved 186 male patients with hemophilia by convenience sampling. These results were analyzed statistically by frequency, percentage, t-test, ANOVA, Pearson Correlation Coefficient, and Stepwise multiple regression. Results: There were significant differences in the quality of life according to the frequency of bleeding. Quality of life showed negative relationships and health problems, bleeding, limitation of joint motion, and depression with stepwise Multiple Regression analysis for quality of life revealed that the most powerful predictor was depression. Depression, health problem, and limitation of joint motion accounted for 64.6% of the variance in the quality of life of patients with hemophilia. Conclusion: Therefore it is necessary to develop nursing interventions with these variables to increase the quality of life for patients with hemophilia.
Purpose : The purpose of this study was to understand the correlations between life stress, sleep quality, and mental health in nursing college students. Method : This study was conducted on 315 nursing college students in B City between April 1stand30th, 2017. The collected data were processed using SPSS 22.0 and were analyzed using means, standard deviations, t-tests, an ANOVA, Scheffe's test, and Pearson's correlation coefficient. Results : Nursing college students showed means of $2.36{\pm}0.54$ points in life stress, $1.03{\pm}0.41$ points in sleep quality, and $2.95{\pm}0.57$ points in mental health. The analysis of correlations between life stress, sleep quality, and mental health in nursing college students showed a statistically significant positive correlation between life stress and sleep quality (r = .432, p < .001). In addition, statistically significant negative correlations were found between life stress and mental health (r = -.589, p < .001) as well as between mental health and sleep quality (r = -.301, p < .001). Discussion : Replication studies with larger numbers of subjects are required. Based on the present study, systematic studies on factors affecting life stress, sleep quality, and mental health are also necessary. Moreover, programs should be developed to reduce life stress as well as improve sleep quality and mental health.
Purpose: This study aimed to construct and test a hypothetical model of the quality of life of school-age children with asthma based on the health-related quality of life model by Wilson and Cleary. Methods: Data were collected from 205 pairs of pediatric outpatients diagnosed with asthma and their parents in Seoul and Gyeonggi-do from July 2016 to April 2017. The exogenous variables were asthma knowledge, number of accompanying allergic diseases, and social support. The endogenous variables were asthma self-efficacy, asthma symptom control, perceived health status, parental quality of life, and children's quality of life. For data analysis, descriptive statistics, factor analysis, and structural equation modeling were performed. Results: Eighteen of the twenty-four hypotheses selected for the hypothetical model were attentive and supported statistically. Quality of life was explained by asthma self-efficacy, asthma symptom control, perceived health, parental quality of life, and asthma knowledge with 83.5%. Conclusion: Strategies for promoting self-efficacy and enforcing asthma knowledge will be helpful for the improvement of health-related quality of life with school-aged asthmatic children.
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