Introduction In lower-middle-income countries, significant progress has been made in the therapeutic management of cancers. However, mental health disorders related to these diseases are usually underestimated by the health system. The aim of this study is to investigate the predictive factors for mental health disorders in Moroccan women with breast or gynecological cancer treated by radical surgery. Material and methods A cross-sectional study was carried out on Moroccan women treated by radical surgery for breast or gynecological cancer (N = 200). For each cancer type, patients were divided into two groups following age criteria. Hospital Anxiety and Depression Scale and Body image scale were used. Results Age had a significant effect on mental health disorders but not the type of cancer. Younger women showed significantly greater mental health disorders than older women (p ≤ 0.001). The predictive model for high anxiety and depression included the effect of the following variables: Being younger, having lower income, and advanced tumor stage. For higher body image dissatisfaction, the variables are as follows: being younger, having fewer children, lower-income, and advanced tumor stage. Conclusion The association of mental health disorders in patients with breast or gynecological cancer increases their distress. The establishment of management protocols for these disorders is strongly recommended in oncology departments.

Background Sleep quality is among the indicators associated with the quality of life of patients with cancer. A multitude of factors may affect patient sleep quality and are considered as associated predictive factors. The aim of this study was to examine the predictors of poor sleep quality in Moroccan women with gynecological cancer after radical surgery. Methods A cross-sectional study was carried out at the Oncology Department of the Ibn Rochd University Hospital, Casablanca (Morocco), on women who had undergone radical surgery for gynecological cancer (n = 100; mean age: 50.94 years). To assess sleep quality, symptoms of depression and anxiety, self-esteem and body image, the following translated and validated Arabic versions of the tools were used: Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale, Rosenberg’s Self-Esteem Scale and Body Image Scale. To determine predictors of sleep quality, multiple linear and hierarchical regressions were used. Results 78% of participants were considered poor sleepers, most of them exhibited very poor subjective quality (53%), longer sleep onset latency (55%), short period of sleep (42%) and low rate of usual sleep efficiency (47%). 79% of these patients did not use sleep medication and 28% were in poor shape during the day. Waking up in the middle of the night or early in the morning and getting up to use the bathroom were the main reasons for poor sleep quality. Higher PSQI scores were positively correlated with higher scores of anxiety, depression, body image dissatisfaction and with lower self-esteem (p < 0.001). The medical coverage system, body image dissatisfaction and low self-esteem predicted poor sleep quality. After controlling for the socio-demographic variables (age and medical coverage system), higher body image dissatisfaction and lower self-esteem significantly predicted lower sleep quality. Conclusion Body image dissatisfaction and lower self-esteem were positively linked to sleep disturbance in women with gynecological cancer after undergone radical surgery. These two predictors require systematic evaluation and adequate management to prevent sleep disorders and mental distress as well as improving the quality of life of these patients.

Background: Breast cancer is the leading cause of cancer death in women worldwide with more than 1. 7 million new cases annually. Major advances have been made in the therapeutic management of this condition in many countries. However, neuropsychiatric disorders in patients with breast cancer constitute a significant concern due to their negative impact on patient's life and on the success of therapy itself.Methodology: In this study we aimed to evaluate psychological disorders in a population of 212 Moroccan women treated for breast cancer within the Mohammed VI Center for the Treatment of Cancers of Casablanca. A questionnaire was designed to this end on the basis of different validated scales, including the Hospital Anxiety Depression Scale (HADS), the Pittsburgh Sleep Quality Index (PSQI), and the Body Image Scale (BIS).Results: Data analysis has shown that 69.3% of participants had significant sleep disorders; 87% suffer from an anxiety-depressive syndrome (ADS), and 83.0% had significant body image dissatisfaction. A positive correlation was shown between ADS and both patients' national health insurance coverage and patients or husbands' education. Analysis further revealed that anxiety and depression were negatively correlated with different types of treatment. Similarly, both BIS and PSQI scores were positively associated with anxiety and depression disorders.Conclusion: The present investigation highlights the need to generalize and strengthen the psychological approach of patients treated for breast cancer in Morocco. We anticipate that such a strategy will alleviate suffering and promote therapy success in these patients and will diminish or prevent conjugal and familial impacts of the illness.

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Background: In lower middle-income countries, significant progress has been made in the treatment and management of cancers. However, the neuropsychiatric and mood disorders associated with these diseases are generally underestimated by the health system. The aim of this study is to assess both anxiety and depression disorders of Moroccan women with breast cancer and gynecological cancer (N=400) and further identify the predictive factors. Methods: Case–control study was conducted with a total sample of 800 individuals. Participants were selected from a regional epidemiological survey. Translated and validated Arabic versions of the following international scales were used: Hospital Anxiety and Depression Scale (HADS), Pittsburgh sleep quality index (PSQI), Rosenberg's self-esteem scale (RSES), Body image scale (BIS) and Multidimensional scale of perceived social support (MSPSS). The predictive effect of these psychosocial factors for depression and anxiety was studied with hierarchical linear regressions. Results: Patients with breast and or gynecological cancer presented a high level of anxiety and depressive symptoms. Multivariate analysis revealed that breast and or gynecological cancer functions as an independent but not primary predictor of anxiety and depressive symptoms. High levels of anxiety and depression were positively associated with a high level of sleep disturbances and body image disturbances and negatively associated with a higher level of perceived social support and self-esteem. Conclusion: Among patients with breast and or gynecological cancer, social support and high self-esteem could help to improve anxiety-depressive symptoms related to this types of cancer. Keywords:  Anxiety, depression, breast cancer, gynecological cancer, predictors.