• Women's Health Nursing
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• v.23 no.2
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• pp.145-153
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• 2017

Purpose: This study examined degrees of irrational parenthood cognition, post traumatic stress disorder (PTSD), spousal support, and quality of life and investigated factors that influence the quality of life of infertile women. Methods: Research design was a cross sectional correlational survey with a total of 113 female patients receiving treatment for infertility. Data were collected from August 1 to November 30, 2015. The collected data were analyzed using t-test, ANOVA, Pearson's correlation, and multiple regression analysis. Results: The mean score of the quality of life was $59.0{\pm}14.8$. The quality of life was significantly associated with irrational parenthood cognition (r=-.70), post traumatic stress disorder (r=-.65), and spousal support (r=.56). The factors significantly affecting the quality of life in infertile women were irrational parenthood cognition (${\beta}=-.45$), post traumatic stress disorder (${\beta}=-.34$), and spousal support (${\beta}=-.32$). The explained variance by these factors was 70.4%, and the regression model was valid (F=89.81, p<.001). Conclusion: This study may contribute to the development of nursing intervention program to improve the quality of life of infertile women.

• Journal of muscle and joint health
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• v.19 no.3
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• pp.329-339
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• 2012

Purpose: This study was to examine the effect of perceived health status, sleep and depression on quality of life of older people in the elderly school. Methods: A cross-sectional descriptive study was conducted with a survey of 155 older persons in person 2 elderly school at J City. The data were analyzed with t-test, ANOVA, Pearson's correlation coefficients, and multiple regression using SPSS WIN 18.0 program. Results: The mean score of the quality of life was 8.10 (SD=8.79). Quality of life was significantly different by educational levels (F=4.711, p=.001). The result of the regression indicated that perceived health status, sleep, and depression explained 18.5% of variance in quality of life. Conclusion: Perceived health status, sleep and depression were associated with quality of life in the elderly. It is necessary to develop nursing strategies for the improvement of quality of life, considering health status, sleep, and depression in the elderly.

• Journal of Korean Academy of Nursing
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• v.42 no.5
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• pp.699-708
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• 2012

Purpose: This study was designed to test structural equation modeling of the quality of life of pre-dialysis patients, in order to provide guidelines for the development of interventions and strategies to improve the quality of life of patients with Chronic Kidney Disease (CKD). Methods: Participants were patients who visited the nephrology outpatient department of a tertiary hospital located in Seoul. Data on demographic factors, social support, nutritional status, physical factors and biobehavioral factors and quality of life were collected between March 4 and March 31, 2011. Results: In the final analysis 208 patients were included. Of the patients 42% were in a malnourished state. Anxious or depressed patients accounted for 62.0%, 72.6%, respectively. Model fit indices for the hypothetical model were in good agreement with the recommended levels (GFI=.94 and CFI=.99). Quality of life in pre-dialysis patients with CKD was significantly affected by demographic factors, social support, nutritional status, physical factors and biobehavioral factors. Biobehavioral factors had the strongest and most direct influence on quality of life of patients with CKD. Conclusion: In order to improve the quality of life in pre-dialysis patients with CKD, comprehensive interventions are necessary to assess and manage biobehavioral factors, physical factors and nutritional status.

• Child Health Nursing Research
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• v.24 no.1
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• pp.18-26
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• 2018

Purpose: Quality of life is important to everyone including school-age children. Therefore this study was done to identify the effects perceived daily stress and sense of humor on quality of life for these children. Methods: The study was a cross-sectional, descriptive study design with 371 participants from 5th and 6th grade children in 5 elementary schools. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and multiple regression analysis with SPSS/WIN 24.0 program. Results: Factors influencing quality of life in school-age children were daily stress, sense of humor, satisfaction with daily life, academic performance and home atmosphere. These variables explained 63.0% of quality of life in school-age children. Conclusion: Results showed that lower daily stress and higher sense of humor are associated with higher quality of life. Therefore, to improve quality of life in school-age children, healthcare providers should develop intervention programs considering these factors.

• The Korean Journal of Rehabilitation Nursing
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• v.14 no.2
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• pp.103-110
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• 2011

Purpose: The purpose of this study was to explore the psychosocial responses and quality of life (QOL) among Amyotrophic Lateral Sclerosis (ALS) patients and their caregivers in South Korea. Methods: A cross-sectional design was used. Purposive sample of 15 ALS patients and their 14 caregivers were recruited via Korean Amyotrophic Lateral Sclerosis Association (KALSA) website. Demographic characteristics, hopelessness, quality of life, physical function, and caregiver burden were measured. Results: The mean period after being diagnosed with ALS was 57.73 months. The mean score of amyotrophic lateral sclerosis functional rating scale and quality of life was 21.33 (SD=11.97) and 5.70 (SD=1.23) respectively. The mean score of hopelessness was 11.87 (SD=4.72). The caregivers' mean score of McGill quality of life was 4.29 (SD=1.46), and the mean score of McGill quality of life-single item scale was 4.29 (SD=2.02). Conclusion: Since the cause of ALS has not been identified and cure is yet to be discovered, supportive care should be provided for not only quality of life but hope of patients. The findings may be used to develop knowledge based nursing intervention for patients diagnosed with ALS and their caregivers.

• Journal of Korean society of Dental Hygiene
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• v.21 no.5
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• pp.621-628
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• 2021

Objectives: The purpose of this study was to determine the differences in quality of life between groups that promote oral health and those that treat oral diseases using data from the National Health and Nutrition Examination Survey. Methods: Data analysis was performed using IBM SPSS ver. 21.0 (IBM Co., Armonk, NY, USA). A total of 3,338 subjects were selected as subjects for the study before applying oral health promotion (OHP; 1,132 persons) and oral disease treatment (ODT; 2,206 persons). Complex sample logistic regression analysis was performed to determine the effects of OHP and ODT on health-related quality of life. Results: As a result of confirming the effect of OHP and ODT on the quality of life, which are indicators of the quality of life, HINT-8 had a significant effect even in Model 2, adjusted for demographic characteristics, with a significant difference (p<0.01). Conclusions: The above results confirmed that persons who promote oral health have a significant effect on HINT-8, a quality of life scale developed for Koreans. Therefore, continuous oral care is required to improve quality of life.

• Human Ecology Research
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• v.60 no.4
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• pp.595-607
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• 2022

This study aims to clarify the relationship between family policy and children's quality of life through an international comparison and to determine which family policy factors contribute to children's quality of life. The research question is "How can family policies be combined to improve children's quality of life in terms of health and economy?" It includes nine categories of family policies related to money, service, and leave. Measures of children's quality of life include low birth weight, infant mortality, and child poverty. Using the OECD Family Database, and the OECD Child Well-being Data, fuzzy-set Qualitative Comparison Analysis (fsQCA) was used among 20 OECD countries. Combinations of family policies significant to the children's quality of life were derived from the results. This study contributes to the literature by revealing the effectiveness of states' investment in family policy. In addition, the study indicates that since family policies interact with each other, those policies combine to improve children's quality of life.

• Journal of Korean society of Dental Hygiene
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• v.12 no.5
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• pp.1029-1038
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• 2012

Objectives : This study was examine a relationship those variables with health-related quality(HRQOL) of life in the elderly and provide basic information on HRQOL and evidence for establishing effective health policies for old ages ultimately. Methods : This research was conducted through individual interviews using a structured questionnaire and oral status examinations of 600 residents The data have been analyzed using $X^2$-test through PASW Statistics 18.0.0(SPSS Korea Datasolution Inc.) and Structural Equation Modeling through LISREL ver8.8. Results : According to the Structural Equation Modeling, independent variables which influence the health-related quality of life are as follows: sex the highest, followed by existence of chronic diseases, perceived health, age, perceived oral health the lowest. Parameters are as follows: oral health-related quality of life the highest, followed by subjective oral symptoms, and oral health status the lowest. Conclusions : In order to improve the quality of life of olds, it is not only necessary to improve perceived health through reduce of chronic diseases, but is also required to regular tooth check-up to reduce subjective oral symptoms for increase oral health-related quality of life.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.417-431
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• 2022

Purpose - The purpose of current study is to investigate the determinants of quality of life in Chungbuk province using Korean longitudinal study aging data. Design/methodology/approach - This study used quality of life and perceived healthiness as the dependent variables. This study selected perceived healthiness, economic participation, annual travel frequency, religion, and fellowship as the independent variables to account for quality of life. For the data analysis, this study implemented econometric analysis, which includes ordinary least square, one-way fixed effect, and feasible generalized least square. Findings - Perceived healthiness positively affected quality of life. Also, quality of life is positively influenced by economic participation and annual travel frequency. However, religion and fellowship appeared as non-significant attribute to account for quality of life. The results also present that perceived healthiness is positively influenced by economic participation, annual travel frequency, and fellowship. Research implications or Originality - Given the results, this offers the implication for the senior citizen welfare policy. This study also produced policy implication for local community.

• Asian Oncology Nursing
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• v.12 no.1
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• pp.27-34
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• 2012

Purpose: This study was conducted to identify the impact of fatigue, pain, anxiety and depression on the quality of life (QOL) among breast cancer patients. Methods: This study was conducted from July 12th to July 20th, 2010. One hundred and fifty breast cancer patients were recruited from D city in Korea. The instruments used in this study were the fatigue, pain, anxiety, depression and the quality of life scales for patients with breast cancer. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and multiple regression with the SPSS/WIN 12.0 program. Results: The quality of life for cancer patients showed a significant relationship with fatigue, pain, anxiety and depression. The significant factors influencing quality of life were fatigue, pain, anxiety and depression that explained 65.6% of the variance. Conclusion: Patients with breast cancer experienced fatigue, pain, anxiety and depression which led to a negative effect on quality of life. The results suggest that intervention programs to reduce fatigue, pain, anxiety and depression could improve the quality of life for breast cancer patients.