scholarly journals The Analysis of Fertility Quality of Life and the Influencing Factors of Patients with Repeated Implantation Failure

2020 ◽  
Author(s):  
Ying Ni ◽  
Chenye Tong ◽  
Limin Huang ◽  
Wenjie Zhou ◽  
Aijun Zhang

Abstract BackgroundAt present, the incidence of RIF reaches 5% -10% during IVF/ICSI assisted pregnancy treatment. RIF causes heavy financial burden and mental stress on patients and families and affects the quality of their lives. This study is aimed to investigate the current status of fertility quality of life (feritility QOL) and explore the factors influencing in patients with repeated implantation failure (RIF), thereby providing scientific basis for effective clinic interventional measures and helping to improve the feritility QOL of RIF patients.MethodsRIF patients were selected from the Reproductive Medical Center of Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2019 to December 2019. The General information questionnaire, FertiQoL scale, perceived social support scale (PSSS), self-rating anxiety scale (SAS), self-rating depression scale (SDS) were used to analyze the feritility QOL and related factors of RIF patients. ResultsThe total score of feritility QOL of RIF patients is (60.44 ± 11.60). The results of multivariate regression analysis showed that residence, financial difficulties, male infertility, BMI index, depression, family social support are the main factors that influence the feritility QOL of RIF patients (adjusted R2 = 0.762). ConclusionAmong the factors influencing the feritility QOL of RIF patients, residence, financial difficulties, male infertility, BMI index, depression and family social support are the main factors. Therefore, medical practioners should take specific interventional measures to improve the RIF patients’ feritility QOL.

2020 ◽  
Author(s):  
Ying Ni ◽  
Chenye Tong ◽  
Limin Huang ◽  
Wenjie Zhou ◽  
Aijun Zhang

Abstract Background: The objective of this study was to investigate the current status of fertility quality of life (QoL) and explore the influencing factors for infertile women with repeated implantation failure (RIF).Methods: The sample consisted of 137 infertile women with RIF who were under treatment from January 2019 to December 2019 in the Reproductive Medical Center of Ruijin Hospital, affiliated with Shanghai Jiaotong University School of Medicine in China. A general information questionnaire, FertiQoL scale, perceived social support scale (PSSS), self-rating anxiety scale (SAS), and self-rating depression scale (SDS) were used to analyse the fertility QoL and related factors of RIF patients.Results: The total fertility QoL score of RIF patients was 60.44 ± 11.60. The results of multivariate regression analysis showed that residence, financial difficulties, male infertility, BMI index, depression, and family social support were the main factors that influenced the fertility QoL of RIF patients (adjusted R2 = 0.762).Conclusion: Based on the results of this study, RIF patients’ psychological status must be addressed. Corresponding interventions such as building a sound family and social support system, creating a good medical environment and offering diverse health education should be provided to improve the fertility QoL of RIF patients.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Ying Ni ◽  
Chenye Tong ◽  
Limin Huang ◽  
Wenjie Zhou ◽  
Aijun Zhang

Abstract Background The objective of this study was to investigate the current status of fertility quality of life (QoL) and explore the influencing factors for infertile women with repeated implantation failure (RIF). Methods The sample consisted of 137 infertile women with RIF who were under treatment from January 2019 to December 2019 in the Reproductive Medical Center of Ruijin Hospital, affiliated with Shanghai Jiaotong University School of Medicine in China. A general information questionnaire, FertiQoL scale, perceived social support scale (PSSS), self-rating anxiety scale (SAS), and self-rating depression scale (SDS) were used to analyse the fertility QoL and related factors of RIF patients. Results The total fertility QoL score of RIF patients was 60.44 ± 11.60. The results of multivariate regression analysis showed that residence, financial difficulties, male infertility, BMI index, depression, and family social support were the main factors that influenced the fertility QoL of RIF patients (adjusted R2 = 0.762). Conclusion Based on the results of this study, RIF patients’ psychological status must be addressed. Corresponding interventions such as building a sound family and social support system, creating a good medical environment and offering diverse health education should be provided to improve the fertility QoL of RIF patients.


2021 ◽  
Author(s):  
Ying Ni ◽  
Chenye Tong ◽  
Limin Huang ◽  
Wenjie Zhou ◽  
Aijun Zhang

Abstract Background: The objective of this study was to investigate the current status of fertility quality of life (QoL) and explore the influencing factors for infertile women with repeated implantation failure (RIF).Methods: The sample consisted of 137 infertile women with RIF who were under treatment from January 2019 to December 2019 in the Reproductive Medical Center of Ruijin Hospital, affiliated with Shanghai Jiaotong University School of Medicine in China. A general information questionnaire, FertiQoL scale, perceived social support scale (PSSS), self-rating anxiety scale (SAS), and self-rating depression scale (SDS) were used to analyse the fertility QoL and related factors of RIF patients.Results: The total fertility QoL score of RIF patients was 60.44 ± 11.60. The results of multivariate regression analysis showed that residence, financial difficulties, male infertility, BMI index, depression, and family social support were the main factors that influenced the fertility QoL of RIF patients (adjusted R2 = 0.762).Conclusion: Based on the results of this study, RIF patients’ psychological status must be addressed. Corresponding interventions such as building a sound family and social support system, creating a good medical environment and offering diverse health education should be provided to improve the fertility QoL of RIF patients.


2021 ◽  
pp. 089011712110129
Author(s):  
Erica G. Soltero ◽  
Stephanie L. Ayers ◽  
Marvyn A. Avalos ◽  
Armando Peña ◽  
Allison N. Williams ◽  
...  

Purpose: This study tested self-efficacy and social support for activity and dietary changes as mediators of changes in type 2 diabetes related outcomes following a lifestyle intervention among Latino youth. Setting and Intervention: Latino adolescents (14-16 years) with obesity (BMI% = 98.1 ± 1.4) were randomized to a 3-month intervention (n = 67) that fostered self-efficacy and social support through weekly, family-centered sessions or a comparison condition (n = 69). Measures: Primary outcomes included insulin sensitivity and weight specific quality of life. Mediators included self-efficacy, friend, and family social support for health behaviors. Data was collected at baseline, 3-months, 6-months, and 12-months. Analysis: Sequential path analysis was used to examine mediators as mechanisms by which the intervention influenced primary outcomes. Results: The intervention had a direct effect on family (β = 0.33, P < .01) and friend social support (β = 0.22, P < .001) immediately following the intervention (3-months). Increased family social support mediated the intervention’s effect on self-efficacy at 6-months (β = 0.09, P < .01). However, social support and self-efficacy did not mediate long-term changes in primary outcomes ( P > .05) at 12-months. Conclusions: Family social support may improve self-efficacy for health behaviors in high-risk Latino youth, highlighting the important role of family diabetes prevention. Fostering family social support is a critical intervention target and more research is needed to understand family-level factors that have the potential to lead to long-term metabolic and psychosocial outcome in vulnerable youth.


2003 ◽  
Vol 182 (S45) ◽  
pp. s50-s51 ◽  
Author(s):  

Supplementary procedures (Fig. 6.1) can be used to obtain a comprehensive assessment of social, cultural and other contextual factors influencing the occurrence, presentation, course or treatment of clinical disorders. They may also be useful for measuring social and occupational functioning and participation, social support, family adjustment, life events and quality of life. In these, as in all clinical assessments, the cultural framework should be systematically considered.


2020 ◽  
Vol 8 (3) ◽  
pp. 1285-1294
Author(s):  
Mohd Norbayusri Baharudin ◽  
Mahadzirah Mohamad ◽  
Fazida Karim

Purpose of the study: The primary aim of this study is to explore the feasibility of Maqasid Shariah Quality of Life (MSQoL) in the drug-abuse inmates’ research. MSQoL is a recent theory formulated in terms of quality of life. Therefore, MSQoL proceeds to examine the association of family social support and prison climate rehabilitation on quality of life among drug-abuse inmates. Methodology: This study conceptually focused on a comprehensive analysis of MSQoL, family social support, and prison climate rehabilitation among drug abuse inmates. Main Finding: Researchers propose a model of MSQoL from dimensions of religion and life. Also, this research aims to link both dimensions to family social support and prison climate rehabilitation. Applications of this study: This study will make practical contributions to the Malaysian Prison Department on aspects related to improving drug-abuse inmates’ quality of life on designing appropriate policies and strategies. Novelty/Originality of this study: The current research provides a theoretical framework for prospective researchers engaged in prison studies.  Since the quality of life has become the government’s priorities under the 12th Malaysia Plan (2021-2025), the promotion of a new model is essential for a better quality of life of Malaysians.


Nursing Open ◽  
2021 ◽  
Author(s):  
Margarita García‐Carmona ◽  
Francisco García‐Torres ◽  
Marcin Jacek Jabłoński ◽  
Ángel Gómez Solís ◽  
María José Jaén‐Moreno ◽  
...  

2016 ◽  
Vol 8 (10) ◽  
pp. 24 ◽  
Author(s):  
Nourossadat Kariman ◽  
Maliheh Amerian ◽  
Padideh Jannati ◽  
Fatemeh Salmani ◽  
Mazlumeh Hamzekhani

<p><strong>Background and Objectives:</strong> Normal fertility follows a set of biological, social and cultural rules and regulations; controlled fertility, however, follows the rules and regulations of the family. The present study was therefore conducted to identify the factors influencing the first childbearing decision-making in women living in Shahroud, Iran, in 2014. <strong></strong></p><p><strong>Materials and Methods:</strong> The present descriptive cross-sectional study was conducted on 300 randomly-selected pregnant women admitted to health centers in Shahroud. The utilized data collection tools included a demographic and obstetrics questionnaire, a quality of life questionnaire, the ENRICH Marital Satisfaction Scale, the Snyder Hope Scale and the Multidimensional Scale of Perceived Social Support. Data were analyzed in SPSS-17 and the direct or inverse effects of the factors influencing the first childbearing decision-making were examined in AMOS-20.<strong></strong></p><p><strong>Results:</strong> The results obtained revealed marital age to have the highest degree of correlation with the first childbearing decision-making in women (r=0.90 and P&lt;0.001).Once the statistically insignificant paths were eliminated, marital age was found to have the highest direct effect (β=0.63) on the first childbearing decision-making, followed by other factors including economic status (β=0.07), hopefulness (β=-0.07) and quality of life (β=-0.05). The inverse effects of marital age (β=0.01), social support (β= -0.01) and quality of life (β=-0.01) on the first childbearing decision-making were found to be significant in women (P&lt;0.001).<strong></strong></p><p><strong>Conclusion:</strong> Many factors are involved in the process of childbearing decision-making, including individual factors (marital age, hopefulness and quality of life), familial factors (marital satisfaction) and social factors (social support). Healthcare institutions and policymakers should adopt strategies that can help couples bear their desired number of children within an appropriate time frame through ameliorating their social, economic and familial conditions.<strong></strong></p>


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