Factors Influencing Quality of Life in Flood Victims: Mediating Effect of PTSD and Moderating Effect of Social Support

This study sought to explore the mediating effect of informal social support on the relationship between caregiver burden and quality of life among compound and noncompound caregivers. Parents ( N = 320) completed a web-based survey aimed to examine effects of caring for an adult child with autism spectrum disorder. Results of the mediation analysis suggested that informal social support partially mediated the relationship between caregiver burden and quality of life for both groups. Informal social support appears to be more impactful for noncompound caregivers compared with compound caregivers based on a greater reduction in explained variance. These results highlight the importance of informal social support as caregivers juggle ongoing challenges to provide care to one or more care recipients.

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IGDA. 6: Supplementary assessment procedures – functioning, social context, cultural framework and quality of life

The British Journal of Psychiatry ◽

10.1192/bjp.182.45.s50 ◽

2003 ◽

Vol 182 (S45) ◽

pp. s50-s51 ◽

Cited By ~ 2

Author(s):

Keyword(s):

Quality Of Life ◽

Social Support ◽

Life Events ◽

Clinical Assessments ◽

Factors Influencing ◽

Cultural Framework ◽

Clinical Disorders ◽

Assessment Procedures ◽

Support Family

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.

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Interaction of anxiety, depression and hypertension on quality of life in patients with gynecological tumor and the moderating effect of social support

10.22541/au.162332698.83379397/v1 ◽

2021 ◽

Author(s):

ZhiHui Gu ◽

Hui Wu

Keyword(s):

Quality Of Life ◽

Social Support ◽

Gynecological Cancer ◽

Moderating Effect ◽

The Self ◽

Self Rating ◽

Gynecological Tumor ◽

Interaction Term ◽

Anxiety Depression

Objective: To explore the effect of anxiety, depression and hypertension on quality of life (QOL) of patients with gynecological tumor and the interaction among them, and the moderating effect of social support. Design: Cross-sectional design Setting: December 2019 to July 2020, the COVID-19 outbreak phase. Population or Sample: A total of 695 gynecological cancer patients were collected. Methods: The study used the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), the Functional Assessment of Cancer Therapy Genera tool (FACT-G), and the Multidimensional Scale of Perceived Social Support Scale (MSPSS). Regression analysis and the simple slope analysis were conducted. Results: QOL of patients with anxiety and hypertension had seriously deteriorated [OR=10.297, 95%CI (5.647-18.775)]. And QOL of patients with depression and hypertension also had seriously deteriorated [OR=11.846, 95%CI (6.597-21.271)]. Calculated by crossover analysis, the synergy index, attributable proportion and relative excess risk due to interact of anxiety and hypertension were1.698,0.371 and 3.822, and the correlation index of interaction between depression and hypertension were 1.475, 0.295, and 3.493. The Social Support &Depression interaction term and Social Support &Anxiety interaction term were negatively correlated with QOL (p<0.01), and explained an extra 5.7% and 5.6% of the variance respectively (p<0.01). Conclusion: Anxiety, depression and hypertension have interaction on the QOL of patients with gynecological tumors. Social support can significantly moderate the relationship between depression, anxiety and QOL respectively. Funding: National Key R&D Program of China (Grant #2018YFC1311600). Keywords: quality of life, depression, anxiety, social support, hypertension, moderating effect

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

10.21203/rs.3.rs-68411/v1 ◽

2020 ◽

Author(s):

Ying Ni ◽

Chenye Tong ◽

Limin Huang ◽

Wenjie Zhou ◽

Aijun Zhang

Keyword(s):

Quality Of Life ◽

Social Support ◽

Male Infertility ◽

Implantation Failure ◽

Repeated Implantation Failure ◽

Financial Difficulties ◽

Factors Influencing ◽

Family Social Support ◽

Main Factors

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.

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