Influence of fatigue, psychological distress, social support, and uncertainty appraisal on quality of life in post-treatment patients with gynecological cancer

The present study assessed the role psychosocial (social support, resilience and psychological distress) and clinical determinants (duration of disease and number of seizures per month) in predicting quality of life in epileptic patients. Past research findings have established the role of social support and resilience in impacting psychological distress in quality of life in epileptic patients. Objectives: To evaluate the psychosocial and clinical determinants of quality of life in epileptic patients and to contribute to the gap in the literature. Methods: A quantitative research design was used for the study in which out of 230 progressive patients, 200 were recruited for the study out of which 117 suffered from generalized and 73 suffered from focal epilepsy. In terms of gender differentiation, 110 were male and 90 were females. Kessler Psychological Distress Scale, Brief Resilience Scale and Social Provisions Scale were used. Clinical determinants were assessed through measuring disease duration and number of seizures per month. Data analysis was done using Pearson Product Moment Correlation, MANOVA and Mediation Analysis. Results: Results had shown that there is a significant negative predictive association of psychological distress with quality of life, social support and resilience. However, a significant positive predictive association was identified among psychological distress, duration of disease and number of seizures per month. Conclusion: Significant differences were identified in epileptic patients with regard to psychological distress (high/low) in terms of social support, resilience and quality of life. Social support and resilience significantly mediated the association between psychological distress and quality of life.

To investigate the influence of self-management, self-efficacy, depression and social support by disease stage on quality of life in patients undergoing haemodialysis in South Korea. A cross-sectional survey design was used. Participants completed self-report questionnaires. A convenience sample of 409 patients undergoing haemodialysis were recruited to complete self-report questionnaires. T-tests, ANOVA, multiple comparisons with Dunnett's T3 post hoc test, Pearson's correlation coefficients and hierarchical linear multiple regression were conducted using IBM SPSS version 25.0. The crisis stage group had the highest mean quality of life score (M = 83.92). Factors influencing quality of life were social support and depression in the crisis stage and depression, self-efficacy and self-management in the stable stage, explaining 38.5% and 51.5% of the total variation each. In the downward stage, only depression was a significant predictor of quality of life, explaining 55.9% of it. Long-term intervention to decrease depression regardless of disease stage to improve quality of life in haemodialysis patients is required. Nursing interventions should include increasing social support to promote patients' quality of life in the crisis stage and improving self-efficacy and self-management in the stable stage. Based on quality of life predictors, the development and implementation of patient-centered nursing interventions considering the patient's disease stage can improve haemodialysis patients' quality of life. There is minimal research on patients' quality of life considering disease stage. Depression was a significant factor of haemodialysis patients' quality of life in all stages, while social support was significant in the crisis stage and self-efficacy and self-management was significant in the stable stage. This study was reported according to the STROBE checklist. Validated interviewer-administered questionnaires were completed by patients undergoing haemodialysis in this study.

The effectiveness of online interventions for patients with gynecological cancer: An integrative review

Background:There are many factors that affect the quality of life, for example, stress and the coping strategies. Polycystic ovary syndrome is a common hormonal disorder leading to menstrual disorders, hirsutism, acne, obesity, infertility and abortion. In such cases, the patients suffer from a variety of stresses and face problems in their coping strategies with life's problems which can affect the quality of life and cause psychological distress and low the quality of life. The quality of life is a descriptive term which points to health and emotional, social and physical promotion of individuals as well as their ability to perform daily living tasks. The purpose of this study was to investigate the relationship between quality of life and coping strategies in patients with polycystic ovary syndrome.Materials and Methods:To perform this study, randomly 200 women who had inclusion criteria and were referred to Ali Shariati Hospital in Isfahan were selected and responded DLQI questionnaire and Carver coping strategies and form of demographic characteristics.Results:The mean score of quality of life in the patients was 4.14 ± 5.57. It was shown that acne has no effective role on quality of life and coping strategies in contrast in hirsute and non-hirsute patients; there was a significant difference in quality of life P value < 0.001). Also there is a significant relationship between the quality of life and coping strategies (problem solving, cognitive, emotional and social support) (P < 0.05) and quality of life has the highest correlation with emotional strategies (r = 0.46).Conclusion:According to results of this study, patients with PCOS are at risk pcychologicla disorders that may be led to decrease of quality of life. Thus this patients need to support by oppositions strategies. Also not only physical treatment but also psychological surveillance especially social support must be done for them.

Quality of life and its predictors among women with gynaecological cancers

Partners of cancer patients report psychological distress and reduced quality of life. However, partners' mental health status and quality of life during child-rearing years and the influence of social support and hardiness on their well-being have not yet been studied. The aim of this study was to describe psychological distress, quality of life, social support, and hardiness of the partners facing spousal cancer during child-rearing years and investigate whether social support or hardiness moderated the relationship between psychological distress and quality of life. Cross-sectional data were collected in Norway from December 2013 to July 2015 as part of the Cancer-PEPSONE study. Five questionnaires were administered to 14 females and 21 males (n = 35). Participants reported more psychological distress and lower quality-of-life scores than other healthy Norwegian populations. Psychological distress seemed to be associated with their not being in control of their futures. Received social support moderated the effect of psychological distress on quality of life. Facing spousal cancer during child-rearing years seemed to have a substantial impact on partners' mental health and an adverse impact on their quality of life. Accordingly, these partners' self-care abilities may be reduced. Received social support may reduce the multiple burdens and consequently allow for enhancement of self-care. Interventions should aim to improve the social support provided to child-rearing partners, which may improve their quality of life. Providing adequate information about their partner's cancer illness and treatment may enhance their feelings of control, which may be beneficial for their mental health status.

Inflammatory bowel disease (IBD) seriously affects the physical and mental health of patients. Resilience can enhance patients' coping abilities and improve their health to a certain extent, as well as their quality of life. Social support is closely related to quality of life. However, there is currently a lack of research on the relationship between resilience, social support and quality of life in patients with IBD. To explore the mediating role of social support between resilience and quality of life in patients with IBD. This study was a cross-sectional study. A total of 207 IBD patients from the Department of Gastrointestinal Surgery of a tertiary first-class hospital in Jiaxing City were selected by convenience sampling from August 2023 to April 2024. They were investigated using a general information questionnaire, Connor-davidson Scale (CD-RICS), Quality of Life Scale, and Social Support Rating Scale. The relationships among resilience, social support, and quality of life were analyzed. A total of 207 questionnaires were distributed, and 207 valid questionnaires were recovered. The average age of 207 patients with inflammatory bowel disease was (44.24 ± 14.10) years old. The total resilience score of IBD patients was (61.58 ± 22.37) points, the total social support score was (43.37 ± 11.46) points, and the total quality of life score was (182.22 ± 31.94) points. The mediating effect analysis showed that social support played a partial mediating role between resilience and quality of life in IBD patients, accounting for 32.35% of the total effect. The quality of life of IBD patients is at a moderate to high level. Resilience in IBD patients can directly affect their quality of life, and also indirectly affect it through social support. Medical staff and society should take measures to improve the social support of IBD patients, thereby helping them live better lives.

PurposeThis study aimed to explore factors affecting the quality of life in peritoneal dialysis (PD) patients. Furthermore, based on the Individual and Family Self-management Theory, this study constructed a path analysis to explore the relationship between psychological distress, social support, patient activation, and quality of life.Participants and MethodsThis study was a cross-sectional study. It included 211 PD patients from a peritoneal dialysis center in China. The questionnaire survey employed convenience sampling, with data collection conducted between March and June 2025. The survey tools included a general information questionnaire, the perceived social support scale, the Kessler psychological distress scale, the patient activation measure-13 item and the short-form 12-item health survey. Correlation analysis and linear regression were used to explore the factors affecting the quality of life of PD patients. Path analysis was performed using structural equation modelling, and the bootstrap program was employed to further test the mediating effect.ResultsIn this study, quality of life was assessed in two dimensions, physical component summary (PCS) and mental component summary (MCS). MCS was positively correlated with social support (r = 0.55, P < 0.01) and patient activation (r = 0.51, P < 0.01), and negatively correlated with psychological distress (r = −0.65, P < 0.01). PCS was also positively related with social support (r = 0.23, P < 0.01) and patient activation (r = 0.21, P < 0.01), and negatively related with psychological distress (r = −0.25, P < 0.01). Complications, psychological distress, social support, and patient activation explained 48% of MCS. Age, monthly household income, psychological distress, social support, and patient activation explained 12% of PCS. The structural equation modelling exhibited a good fit (CMIN/df = 1.380, P = 0.252, GFI = 0.995, AGFI = 0.961, NFI = 0.993, IFI = 0.998, TLI = 0.990, CFI = 0.998, RMSEA=0.043). Path analysis revealed that social support (β = 0.17, P < 0.05), psychological distress (β = −0.47, P < 0.001), and patient activation (β = 0.18, P < 0.01) directly influenced MCS; only psychological distress (β = −0.29, P < 0.01) directly influenced PCS. Furthermore, patient activation mediated the relationship between social support and MCS (β = 0.10, 95% confidence interval [CI]: 0.02–0.18, P < 0.01), and also mediated the relationship between psychological distress and MCS (β = −0.04, 95% CI: −0.09 - −0.01, P < 0.01).ConclusionThe results indicated that psychological distress, social support, patient activation, and quality of life were closely related in PD patients. These findings emphasize the importance of implementing comprehensive care strategies for PD patients that address their physical, psychological, and social needs. Interventions should be implemented to alleviate psychological distress and strengthen social support. Concurrently, educational programs should be implemented to actively guide PD patients in participating in their own dialysis care, thereby enhancing engagement and improving their overall quality of life.

The complex relationships among social support, experienced stigma, psychological distress, and quality of life (QOL) among tuberculosis (TB) patients are insufficiently understood. The purpose of this study was to explore the interrelationships among social support, experienced stigma, psychological distress, and QOL and to examine whether experienced stigma and psychological distress play a mediating role. A cross-sectional survey was conducted between November 2020 and March 2021 in Dalian, Liaoning Province, Northeast China. Data were obtained from 473 TB patients using a structured questionnaire. Structural equation modelling was used to examine the hypothetical model. The research model provided a good fit to the measured data. All research hypotheses were supported: (1) social support, experienced stigma and psychological distress were associated with QOL; (2) experienced stigma fully mediated the effect of social support on psychological distress; (3) psychological distress fully mediated the effect of experienced stigma on QOL; and (4) experienced stigma and psychological distress were sequential mediators between social support and QOL. This study elucidated the pathways linking social support, experienced stigma, and psychological distress to QOL and provides an empirical basis for improving the QOL of TB patients.

Background: Individuals living with diabetes mellitus (DM) often face psychological distress because of the disease's chronic progression and the complexity of its daily management. Distress has been linked to poor glycemic control and decreased quality of life. Therefore, these psychological distresses require social support. This study aimed to investigate the relationship between social support, psychological distress, and quality of life in patients with diabetes mellitus living in the community. Methods: A cross-sectional quantitative study was conducted with 250 diabetic patients recruited from five public health centers in Central Java, Indonesia using purposive sampling. Patients with severe cognitive impairment, psychiatric disorders, or comorbid conditions that could significantly affect psychological status were excluded. Data were collected through validated instruments: the Multidimensional Scale of Perceived Social Support (MSPSS), the Diabetes Distress Scale (DDS-17), and the World Health Organization Quality of Life-BREF (WHOQOL-BREF). The data were analyzed using Spearman’s rank correlation, and statistical significance was determined at p &lt; 0.05. Results: The findings revealed a significant negative correlation between social support and diabetes-related distress (r = -0.48, p &lt; 0.001), and a significant positive correlation between social support and quality of life (r = 0.55, p &lt; 0.001). Conclusion: There was a significant association between social support and reduced distress as well as enhanced quality of life in community-dwelling individuals with diabetes. Nursing interventions that enhance family involvement, peer support, and community engagement are essential in diabetes management. These findings highlight the importance of psychosocial components in chronic disease care.

This study was an investigation of judgments regarding quality of life of individuals with severe mental disorders from two different perspectives: patient self-report versus provider. Judgments on several dimensions of quality of life were collected from a convenience sample of 37 schizophrenic patients and their primary clinicians by using the well-known Quality of Life Index of Spitzer et al. and the more recently developed Quality of Life Index-Mental Health. Both indexes capture judgments on a number of dimensions. Patterns of concordance for the patient-provider pairs were tested by using Cohen's kappa and Pearson correlation coefficients. The results suggest that patients' and providers' judgments are more likely to coincide on clinical aspects, such as symptoms and function, than on social aspects. Specifically, there was moderate agreement on symptoms and function, less agreement on physical health, and little to no agreement on social relations and occupational aspects of quality of life. Such differences support the notion that treatment strategies and mental health services should address a wide range of needs reflecting different aspects of quality of life perceived as important by different patients.

Background Medical and psychological factors contribute to the heightened psychological distress and reduced health-related quality of life in patients with Crohn’s disease. Whether Social Support plays a role in this scenario is unknown. We used the Multidimensional Scale of Perceived Social Support (MSPSS) to investigate whether Social Support associates with psychological distress and quality of life in Crohn’s disease. Methods Consecutive adult patients with Crohn’s disease, presenting at specialist gastroenterology services or recruited by advertising, with mild to moderate disease activity by the Harvey-Bradshaw Index (HBI), were enrolled into the study. Patients completed the 12-item MSPSS questionnaire that measures psychological support in three categories: Family, Friends and Significant Other, and provides individual category scores and a total score (range of all scores 1–7; a higher score indicates more social support). Patients also completed the following questionnaires: psychological distress (Brief Symptom Inventory, with Global Severity Index, GSI), quality of life (Short Inflammatory Bowel Disease Questionnaire, SIBDQ), satisfaction with life (SWLS), family stress (Family Assessment Device, FAD), coping strategies (Brief-COPE), and presenteeism and work activity (WPAI). Statistics: Spearman rho. *p&amp;lt;0.05, **p&amp;lt;0.01. Results The cohort comprised 126 patients, mean (SD) age 33.7 (10.6) years, females 79%, HBI 8.4 (2.5), CRP 1.2 (2.3), calprotectin 394 (674). MSPSS scores were as follows: Total score 5.72 (1.14), Friends 5.36 (1.34), Family 5.73 (1.14), and Significant Other 6.07 (1.15); Cronbach’s α ≥ .877. MSPSS scores correlated negatively with family stress measure FAD: Friends -.258**, Family -.732**, Significant Other -.401**; and with GSI psychological stress measure: Friends -305**, Family -.352**, Significant Other -.245**. MSPSS correlated positively with SIBDQ quality of life: Friends .300**, Family .188*, Significant Other .200*; and with satisfaction with life SWLS: Friends .379**, Family .333**, Significant Other .245**. MSPSS correlations with emotion-focused coping were: Friends -.337**, Family -.263**, Significant Other -.329**. MSPSS Family score correlated negatively with WPAI presenteeism -.270*, and WPAI work activity -.294**. Conclusion In mild to moderate Crohn’s disease, strong social support was associated with better quality of life, more satisfaction with life, and better performance in the work arena. Social support was associated with reduced psychological distress, reduced family stress, and less use of emotion-focused coping. This research shows the importance of social support in improving the psychological condition of patients with Crohn’s disease.

To investigate the quality of life and influence factors in patients awaiting lung transplantation. Fifty five participants who waited for lung transplantation were enrolled and received multiple surveys including Short Form 36 Health Survey Questionnaires (SF-36), Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS) and Perceiving Social Support Scale (PSSS). The subjects awaiting lung transplant scored ranging from (23.18±37.53) to (74.57±26.02) regarding SF-36, significantly lower than norms (p<0.01); they scored (48.09±9.06) and ( 52.18±9.98) in SAS and SDS respectively, which were significant higher compared with norms (p<0.01), the patients scored (5.56±1.04) regarding social total support factor in PSSS questionnaire, and the scores of family support factor was significantly higher than that of outside family support factor (p<0.05). Single factor analysis revealed that the factors affecting quality of life included monthly family per capita income, medical cost source, dyspnea, BMI, anxiety, depression, and social support (p<0.05). Multiple factor analysis screened dyspnea (p<0.001) and depression (p<0.05) as influence factors of quality of life in patients awaiting lung transplantation. Affected by various factors, the quality of life in patients awaiting lung transplant surgery is relatively poor, among which dyspnea and depression are dominant influence factors. Therefore, clinicians should take psychological and physiological measures to effectively enhance the quality of life in patients awaiting lung transplantation.

The purpose of the research was to determine the effect of home care service on the quality of life in patients with gynecological cancer. This randomized case control study was carried out in a womans hospital between September 2011 and February 2012. Women undergoing gynecological cancer treatment were separated into intervention and control groups, of 35 patients each. The intervention group was provided with nursing care service through hospital and home visits (1st, 12th weeks) within the framework of a specifically developed nursing care plan. The control group was monitored without any intervention through the hospital routine protocols (1st, 12th weeks). Data were collected using An Interview Form, Home Visit Monitoring Form and Quality of Life Scale/Cancer Survivors. Effects of home care service on the quality of life in gynecological cancer patients were investigated using chi-square tests, McNemar's test, independent t-test and ANOVA. This study found that the intervention group receiving home care service had a moderately high quality of life (average mean: 6.01±0.64), while the control group had comparatively lower quality (average mean: 4.35±0.79) within the 12 week post- discharge period (p<0.05). This study found home care services to be efficient in improving the quality of life in patients with gynecological cancer.

Background: Quality of life in patients with breast cancer is an important outcome. This paper presents an overview and outcome after surgery in breast cancer patients on the topic ranging from descriptive findings to clinical trials.&#x0D; Methods: This is a bibliographic review of the literature covering publications that appeared in English language in biomedical journals between 1992 and 2013. The search strategy included a combination of key words 'quality of life' and 'breast cancer', 'breast carcinoma' or post mastectomy in Titles. Of these, research articles like randomized controlled trials, reviews, abstracts, editorials, brief commentaries, letters were included. The major findings are summarized and presented under several headings: instruments used, validation studies, measurement issues, surgical treatment, quality of life as predictor of survival, psychological distress, supportive care, symptoms and sexual functioning.&#x0D; Results: Instruments-Several valid instruments were used to measure quality of life in breast cancer patients. The European Organization for Research and Treatment of Cancer Core Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and its breast cancer specific complementary measure (EORTC QLQ-BR23) were listed in this study, as it is a common, highly standard and well developed instruments to measure quality of life in breast cancer patients. Different surgical procedures led to relatively similar results in terms of quality of life assessments, although mastectomy patients compared to conserving surgery patients usually reported a lower body image and sexual functioning. Systemic therapies-almost all studies indicated that breast cancer patients receiving chemotherapy might experience several side-effects and symptoms that negatively affect their quality of life. Adjuvant hormonal therapies also were found to have similar negative impact on quality of life, although in general they were associated with improved survival. Quality of life as predictor of survival-similar to known medical factors, quality of life data in metastatic breast cancer patients were found to be prognostic and predictive of survival time. Psychological distress-anxiety and depression were found to be common among breast cancer patients even years after the disease diagnosis and treatment. Psychological factors also were found to predict subsequent quality of life or even overall survival in breast cancer patients. As recommended, recognition and management of these symptoms is an important issue since such symptoms impair health-related quality of life. Sexual functioning-breast cancer patients especially younger patients suffer from poor sexual functioning that negatively affect quality of life.&#x0D; Conclusion: There was quite an extensive body of the literature on quality of life in breast cancer patients. These papers have made a considerable contribution to improving breast cancer care, although their exact benefit was hard to define. However, quality of life data provided scientific evidence for clinical decision-making and conveyed helpful information concerning breast cancer patients' experiences during the course of the disease diagnosis, treatment, disease-free survival time, and recurrences.&#x0D; Journal of Surgical Sciences (2013) Vol. 17 (1) : 35-44