Resilience and its related factors among women with breast cancer.

OBJECTIVES: Breast cancer is the most challenging disease, and the level of resilience in patients determines their ability to cope with the arising stress. There is relatively limited information on the resilience of patients in clinical settings. Our study aims were to evaluate the extent of resilience and identify factors that predict resilience in women with breast cancer. PATIENTS AND METHODS: A cross-sectional study was conducted with the participation of 218 women with breast cancer who were referred to the Oncology clinic in 2022. The participants completed three scales, namely the Conner-Davidson Resilience, Schneider's Life Expectancy, and the Multidimensional Scale of Perceived Social Support, along with sociodemographic information. Descriptive statistics, bivariate, and multiple linear regression were used to explore the predictors of resilience. RESULT: The mean (SD) scores for resilience, social support, and hope were 59.22 (17.25), 38.53 (6.19), and 59.37 (16.68), respectively. Based on analysis 50.8% of the variations in resilience could be explained by 6 variables including social support, hope, women's age, employment, and income status as well as the stage of illness (R 2adj = 0.508, P < 0.001). Employment status and disease stage did not show a significant relationship with resilience and social support was the factor with the highest impact on resilience (ß = 0.516, P < 0.001). CONCLUSION: Our study showed social support, hope, age, and income level predict significant resilience in women with breast cancer. The findings emphasize the importance of fostering strong support networks, cultivating a hopeful mindset, embracing life's transitions, and addressing financial considerations in the pursuit of enhanced resilience.

Factors affecting quality of life in women with breast cancer: a path analysis.

BACKGROUND: Breast cancer may negatively affect people's quality of life. We investigated the predictors of quality of life in women with breast cancer with the mediating role of resilience. METHOD: In a cross-sectional design, 218 patients completed a survey referring to the Valiasr International Hospital Oncology Center in Tabriz, Iran. Four validated self-report measures assessed HRQoL as measured by the SF-12, Resilience, Hope, and Perceived Social Support (MSPs). The mediating roles of resilience between HRQoL and the fitness of the proposed model were investigated using path analysis. SPSS version 24 software and Lisrel 8.8 software were used for data analysis. RESULTS: The results of path analysis showed that the final model had a good fit to the data (Chi-Square/ degrees of freedom (Normed Chi2) = 2.08, RMSEA = 0.014, goodness fit index = 0.99, both comparative fit index = 0.99 both CFI = 0.99 and IFI = 1). In this model, age and psychosocial factors predicted health-related quality of life. CONCLUSIONS: Age and psychosocial factors especially social support are important components in predicting health-related quality of life among those suffering from breast cancer.

Investigating the relationship between breast and gynecological cancers and infertility and its treatments: a case-control study.

OBJECTIVE: Due to the high prevalence of breast and gynecological cancers among women, it is crucial to identify the risk factors of these cancers. Thus, the present study aimed to evaluate the relationship between breast and gynecological cancers and infertility and its treatments in women suffering from these cancers. METHODS: This case-control study was conducted with the participation of 400 people (200 women with breast and gynecological cancers and 200 healthy women without a history of cancer) in hospitals and health centers in Tabriz, Iran, in 2022. Data were collected using a four-part researcher-made questionnaire including sociodemographic characteristics, obstetric characteristics, information related to cancer, and information related to infertility and its treatments. RESULT: s Based on the multivariable logistic regression model and by controlling sociodemographic and obstetric characteristics as possible confounding variables, women with cancer had an infertility history almost four times more than women who did not have a history of cancer (OR = 3.56; 95% CI: 1.36-9.33; P = 0.010). Women with breast cancer had an infertility history five times more than women without a history of breast cancer (OR = 5.11; 95% CI: 1.68-15.50; P = 0.004). The infertility history of women with gynecological cancer was more than three times that of the control group. However, there was no statistically significant difference between the two groups (OR = 3.36; 95% CI: 0.99-11.47; P = 0.053). CONCLUSION: Infertility and its treatments may be involved in increasing the risk of breast and gynecological cancers.

The relationship of childbirth experience with postpartum depression and anxiety: a cross-sectional study.

BACKGROUND: The childbirth experience is a personal life event that is influenced by physiologic and mental-psychological processes. Due to the prevalence of psychiatric problems after childbirth, it is important to recognize the factors affecting women's emotional reactions. This study was conducted to define the relationship of childbirth experience with postpartum anxiety and depression. METHODS: This cross-sectional study was conducted on 399 women from 1 to 4 months after their childbirth who were referred to health centers in Tabriz-Iran from January 2021 to September 2021. Socio-demographic and obstetric characteristics questionnaire, Childbirth Experience Questionnaire (CEQ 2.0), Edinburgh Postpartum Depression Scale (EPDS), and Postpartum Specific Anxiety Scale (PSAS) were used to collect the data. The general linear modeling was used along with adjustment of socio-demographic characteristics to determine the relationship between the childbirth experience with depression and anxiety. RESULTS: The mean (SD) of the overall score for childbirth experience, anxiety, and depression were 2.9 (0.2) (score range: 1 to 4), 91.6 (4.8) (score range: 0 to153), and 9.4 (0.7) (score range: 0 to 30), respectively. There was a significant inverse correlation between the overall score of childbirth experiences, the depression score (r= -0.36, p < 0.001), and the anxiety score (r= -0.12, p = 0.028) based on the Pearson correlation test. According to the general linear modeling and with adjustment of socio-demographic characteristics, with the increasing score of the childbirth experience, the depression score decreased (B= -0.2; 95%CI: -0.3 to -0.1). Moreover, the variable of control during pregnancy was a predictor for postpartum depression and anxiety, so in women with the control during pregnancy, the mean score of postpartum depression (B= -1.8; CI 95%: -3.0 to -0.5; P = 0.004) and anxiety (B=-6.0; CI 95%: -10.1 to -1.6; P = 0.007) was less. CONCLUSION: Based on the study results, postpartum depression and anxiety are related to childbirth experiences, therefore considering the effects of mothers' mental health on other aspects of a woman and her family's life, the core role of health care providers and policymakers in creating positive childbirth experiences is determined.