• Journal of Advanced Technology Convergence
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• v.3 no.3
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• pp.57-70
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• 2024

This study is a correlational research to identify the factors influencing the infertility-related quality of life of infertile women. The participants included 131 infertile women who visited the department of obstetrics and gynecology of a general hospital in C city for infertility treatment. Data were collected using a structured questionnaire between May 11 and July 31, 2020. The collected data were analyzed by descriptive statistics, t-test, one-way ANOVA, Schéffe test, Pearson's correlation coefficients, and simultaneous multiple regression using SPSS 18.0 program. The degree of infertility-related quality of life was 3.73±0.65. Infertility-related quality of life had a significant correlation with marital intimacy (r=.37, p<.001), spousal support (r=.38, p<.001), social support (r=.43, p<.001), infertility stress (r=-.74, p<.001) and depression(r=-.54, p<.001). Multiple regression analysis showed that infertility stress (β=-.58, p<.001), depression (β=-.28, p<.001), and social support (β=.16, p=.011) had significant effects on the infertility-related quality of life in infertile women, These variables explained 64.0% of the infertility-related quality of life in infertile women. The main variables affecting infertility-related quality of life were found to be infertility stress, depression, and social support. Therefore, to improve the infertility-related quality of life of infertile women, hospitals should develop an intervention program that can reduce fertility stress and depression and improve social support. Studies should also be conducted to confirm these effects. Depression

• Women's Health Nursing
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• v.23 no.2
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• pp.117-125
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• 2017

Purpose: The purpose of this study was to investigate factors affecting on infertility-related quality of life in women undergoing assisted reproductive techniques focusing on depression and resilience. Methods: With correlational survey design, 125 infertile women who were receiving inpatient and outpatient treatment in K university hospital in D city completed a structured questionnaire. Results: There was a significant negative correlation between depression and resilience and between the depression and the quality of life. There was a significant positive correlation between resilience and the quality of life. The factors affecting on infertility-related quality of life were depression, burden of expenses, and relationship with husband which explained 48% in the quality of life. Conclusion: It is necessary to develop and apply nursing programs that include individual counseling and education for infertile couple. Social support including financial support and better environment for these women will be also essential.

• Women's Health Nursing
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• v.26 no.1
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• pp.49-60
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• 2020

Purpose: Infertile women experience various physical, psychological, and relational problems that affect their infertility-related quality of life (QoL). This study investigated infertile women's infertility-related QoL with the goal of identifying how it is influenced by fatigue, depression, and marital intimacy. Methods: A sample of 140 infertile women was surveyed in a cross-sectional study. Data were collected from February to April 2018 using self-report structured questionnaires at three infertility clinics located in Jeonju, Korea. Data were analyzed using the independent t-test, analysis of variance, Pearson correlation coefficients, and stepwise multiple regression analysis in SPSS for Windows version 25.0. The subjects agreed to complete a face-to-face interview, including administration of the Fatigue Severity Scale, Depression Anxiety Stress Scale-21, Marital Intimacy Scale, and the Fertility Quality of Life tool. Results: The mean age of the participants was 35.6±4.3 years. Infertility-related QoL was negatively correlated with fatigue (r=-.42, p<.001) and depression (r=-.56, p<.001), and positively correlated with marital intimacy (r=.30, p<.001). Multiple regression analysis showed that depression (β=-0.44, p<.001), fatigue (β=-0.27, p<.001), and husband's attitude (β=-0.19, p=.007) had significant effects on the QoL of infertile women, accounting for 40.5% of the variance in infertility-related QoL. Conclusion: The study provides insights into how infertile women's infertility-related QoL was influenced by depression, fatigue, and their husbands' attitudes regarding infertility treatment. To improve infertile women's infertility-related QoL, healthcare providers should consider developing strategies to decrease depression and fatigue in infertile women and to address their husbands' attitudes.

• Journal of Korean Academy of Nursing
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• v.43 no.3
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• pp.312-320
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• 2013

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.

• Women's Health Nursing
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• v.26 no.1
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• pp.72-83
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• 2020

Purpose: The purpose of this study was to investigate the effects of uncertainty and spousal support on infertility-related quality of life (QoL) in women undergoing assisted reproductive technologies. Methods: In this correlational survey study, 172 infertile women undergoing assisted reproductive technologies for infertility treatment at M hospital in Seoul participated. Data collection took place at the outpatient department of M hospital using a self-report questionnaire from July to August 2019. Data were analyzed using SPSS for Windows version 28.0. Results: The mean scores for uncertainty, spousal support, and infertility-related QoL were 28.35 (out of 50), 86.67 (out of 115), and 57.98 (out of 100), respectively. Infertility-related QoL was positively correlated with spousal support and negatively correlated with uncertainty. According to the regression analysis, infertility-related QoL was significantly affected by uncertainty, total number of assisted reproductive technology treatments, marriage duration, subjective health status, the financial burden of infertility testing, and the presence of a burdensome person. These variables had an explanatory power of 35.0% for infertility-related QoL. Conclusion: Uncertainty was an important factor influencing infertility-related QoL among women undergoing assisted reproductive technologies. It is necessary to develop and implement a nursing intervention program focused on reducing various forms of uncertainty during assisted reproductive procedures and to consider other factors affecting infertility-related QoL in the clinical setting.

• 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.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.21-27
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• 2022

Background: While the application of procedural methods to solve the infertility problem has increased, the decline in the quality of life of women who experience infertility has been disregarded. Methods: This qualitative study used phenomenological analysis of data collected from 13 women with infertility in South Korea to reveal the subjective meaning of physical experiences perceived by women over the course of treatment. Results: Upon analyses of the treatment experiences of women with infertility in South Korea via a phenomenological analysis method, 10 themes were extracted and integrated into four theme clusters ("Perceiving infertility," "The body that gives birth," "A process in an endless tunnel," "Caring for my marginalized identity"). Conclusion: The results of this study suggest that women with infertility in South Korea perceived their own bodies as givers of birth living in traditional and patriarchal societies. A contextual flow proceeded to the final stage of women caring for their marginalized identity, which had suffered throughout the course of their infertility journey.

• Journal of Internet Computing and Services
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• v.24 no.4
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• pp.137-144
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• 2023

The purpose of this study is to examine consumers' perceptions of domestic infertility support policies based on infertility-related keywords and the trends of their changes. To this end, Momsholic, a mom cafe which has the most active infertility-related bulletin boards on Naver, was selected as the analysis target, and 'infertility' was selected as a keyword for data search. The data was collected for three months. In addition, network analysis and visualization were performed using R for data collection and analysis, and cross-validation was attempted using the NetDraw function of 'textom 1.0' and the UCINET6 program. As a result of the analysis, the main keywords were cost, artificial insemination, in vitro fertilization, freezing, harvest, ovulation, and how much. Next, looking at the central value of the degree of connection, it was found that the degree of connection between the words cost, cost, how much, problem, public health center, and artificial insemination was high. According to the results of this study, women who visit mom cafes due to infertility in Korea are more interested in the cost. It is believed to be closely related to infertility treatment as well as in vitro fertilization and egg freezing. Therefore, by examining keywords related toinfertility, it has academic significance in that it is possible to identify major factors that end users are interested in. Furthermore, it is possible to redefine the guidelines for domestic infertility support policies by presenting infertility support policies that reflect the factors of interest of end consumers.

• Journal of Korean Public Health Nursing
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• v.30 no.1
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• pp.93-104
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• 2016

Purpose: The purpose of this study was to determine the relationship among infertility stress, depression and Resilience of infertile women during infertility treatment. Methods: As a descriptive study, we surveyed 129 infertile women in 1 fertility center from November 2014 to January 2015. The data was analyzed in SPSS WIn 18.0 program. Results: Infertility stress, depression, and resilience averaged $3.23{\pm}.32$ (range of scale 1~6), $1.42{\pm}.39$ (range of scale 1~4), and $3.45{\pm}.35$ (range of scale 1~5), respectively. There was significant difference in infertility stress by job, abortion experience after pregnancy with infertility treatments, anxiety of high risk pregnancy, burden of pregnancy, important of having child. There was significant difference in depression by job, Economy burden on infertility treatment, burden of pregnancy. Infertility stress had a positive correlation with depression (r=.192. p<.029) Resilience had a negative correlation with depression (r=-.349. p<.001). Conclusion: It is necessary to provide infertile women with the counseling on their infertility stress and depression, and the intervention programs for infertile women is expected to help them cope and adapt with their personal and marital problems, reduce their negative emotions, and thus promote their quality of life.

• Women's Health Nursing
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• v.26 no.2
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• pp.141-150
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• 2020

Purpose: High-quality nursing care must be provided for women with infertility, and their nursing needs must be identified. Although scales have been developed to assess infertility-related stress, quality of life, and psychosocial status, there is a lack of scales that assess the nursing needs of women with infertility. The purpose of this study was to develop a needs assessment scale for nursing care in women with infertility and to verify its reliability and validity. Methods: The 250 subjects in this study were women with infertility recruited from four hospitals. The scale was developed following the framework of DeVellis, through a literature review, in-depth interviews, development of preliminary items, verification of content validity, development of secondary items, verification of construct validity, and extraction of the final items. Date were analyzed using item analysis, factor analysis, confirmatory factor analysis, Pearson correlation coefficients, and Cronbach's alpha. Reliability was tested using Cronbach's alpha, and validity was evaluated using item analysis, exploratory factor analysis, and criterion validity. Results: The final version of the nursing needs assessment scale for woman with infertility consisted of 18 items. Four factors (physical and psychological nursing needs, needs for information regarding treatment, needs for infertility-related understanding and concern, and supportive needs) explained 66.0% of the total variance. Cronbach's alpha was .92 for the overall instrument and ranged from .88 to .91 for the subscales. Conclusion: These results suggest that this needs assessment scale for nursing care in women with infertility demonstrated acceptable validity and reliability and contained items suitable for assessing the level of nursing care needed by women with infertility.