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Breast cancer survivorship is a recognized risk factor for sexual dysfunction, with various clinical, sociocultural, and psychological factors potentially interacting differently across populations. This study compared sexual dysfunction, anxiety, and depression between females with breast cancer and those without, aiming to identify associated factors. A total of 362 females participated, including 227 with sexual dysfunction and 135 controls. Among them, 195 are breast cancer survivors, while 167 have no personal history of cancer. Key variables were analyzed using Student’s t-test for quantitative data and Fisher’s exact test for categorical data, while logistic regression models were used to assess the association between sexual dysfunction and various factors. Multivariate analysis revealed that, in sexually active females, breast cancer survivorship increased the odds of sexual dysfunction 2.7-fold (95% CI: 1.17–6.49; p = 0.020). Anxiety was significantly associated with sexual dysfunction, regardless of cancer status (AdOR 6.00; 95% CI: 2.50–14.43; p < 0.001). The interaction between cancer survival and anxiety further increased the odds of sexual dysfunction by more than 11-fold (AdOR 11.55; 95% CI: 3.81–35.04; p < 0.001). Additionally, obesity was found to be a protective factor among cancer survivors (AdOR 0.149; 95% CI: 0.027–0.819; p = 0.029). In conclusion, breast cancer has a significant impact on sexual function, with psychological factors like anxiety playing a crucial role. Addressing these issues requires a holistic, patient-centered approach that considers the complex interplay of physical, emotional, and sociocultural factors.

Background: The COVID-19 pandemic significantly impacted mental health and substance use patterns, particularly among young adults. Objective: This study aimed to assess changes in anxiety, depression, self-esteem, and substance use among university students in Mexico before, during, and after the pandemic. Methods: Using a repeated cross-sectional design, this study was conducted with university students in Mexico across three periods: pre-pandemic (2017 and 2019); during the pandemic (2021); and post-pandemic (2023). A total of 2167 students were interviewed during one of the three periods. Standardized scales measured anxiety, depression, self-esteem, Erotic Response and Sexual Orientation Scale (EROS), and substance use. Results: showed a marked and significant increase in the proportion of students with anxiety (40.0%, 71.7%, and 79.6%) and depression (14.4%, 61.9%, and 62.6%) during the pre-pandemic, pandemic, and post-pandemic periods, respectively. Self-esteem significantly decreased during and after the pandemic, compared to pre-pandemic, particularly among females. The proportion of students categorized as moderate/high-risk for their substance use changed over time, showing a reduction in alcohol use (from 29.9% to 20.2%) and tobacco use (from 26.0% to 18.2%) but an increase in sedative use (from 7.1% to 11.7%), before vs after the pandemic, respectively. Multivariate analysis revealed that anxiety, low self-esteem, and increased sedative use were consistently linked to a heightened risk of depression during and after the pandemic. Notably, anxiety and depression levels remained in a proportion significantly elevated even in the post-pandemic period. Conclusions: These findings underscore the enduring impact of the COVID-19 pandemic on the mental health of university students, highlighting the urgent need for targeted interventions, early detection strategies, and customized educational programs to effectively support students’ mental well-being in the ongoing post-pandemic era.

Children from out-of-home care are a vulnerable population that faces high stress and anxiety levels due to stressful experiences, such as being abused, being raped, and violence. This problem could have negative effects on their bio-psycho-social well-being if they are not provided with comprehensive psychological treatment. Numerous methods have been developed to help them relax, but there are no current approaches for assessing the relaxation level they reach. Based on this, a novel smart sensor that can evaluate the level of relaxation a child experiences is developed in this paper. It evaluates changes in thermal biomarkers (forehead, right and left cheek, chin, and maxillary) and heart rate (HR). Then, through a k-nearest neighbors (K-NN) intelligent classifier, four possible levels of relaxation can be obtained: no-relax, low-relax, relax, and very-relax. Additionally, an application (called i-CARE) for anxiety management, which is based on biofeedback diaphragmatic breathing, guided imagery, and video games, is evaluated. After testing the developed smart sensor, an 89.7% accuracy is obtained. The smart sensor used provides a reliable measurement of relaxation levels and the i-CARE application is effective for anxiety management, both of which are focused on children exposed to out-of-home care conditions.