The "me too" decision: An analog study of therapist self-disclosure of psychological problems

Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation

The exploration of facial emotion recognition aims to analyze psychological characteristics of juveniles involved in crimes and promote the application of deep learning to psychological feature extraction. First, the relationship between facial emotion recognition and psychological characteristics is discussed. On this basis, a facial emotion recognition model is constructed by increasing the layers of the convolutional neural network (CNN) and integrating CNN with several neural networks such as VGGNet, AlexNet, and LeNet-5. Second, based on the feature fusion, an optimized Central Local Binary Pattern (CLBP) algorithm is introduced into the CNN to construct a CNN-CLBP algorithm for facial emotion recognition. Finally, the validity analysis is conducted on the algorithm after the preprocessing of face images and the optimization of relevant parameters. Compared with other methods, the CNN-CLBP algorithm has higher accuracy in facial expression recognition, with an average recognition rate of 88.16%. Besides, the recognition accuracy of this algorithm is improved by image preprocessing and parameter optimization, and there is no poor-fitting. Moreover, the CNN-CLBP algorithm can recognize 97% of the happy expressions and surprised expressions, but the misidentification rate of sad expressions is 22.54%. The research result provides data reference and direction for analyzing psychological characteristics of juveniles involved in crimes.

Correlates of posttraumatic growth among spouses of newly diagnosed gynecological cancer survivors: A cross-sectional study

PURPOSE

Despite increasing research on posttraumatic growth (PTG) of spouses of cancer patients, and the positive effects of spouses' PTG on both spouses and patients, there is little information on PTG and its correlates among husbands of gynecological cancer survivors, especially those of newly diagnosed survivors. We aimed to assess PTG among spouses of newly diagnosed gynecological cancer survivors and to examine its correlates.

METHODS

In a cross-sectional study, a total of 400 spouses of newly diagnosed gynecological cancer survivors were recruited and completed questionnaires with information on general characteristics, rumination, self-disclosure, locus of control, and PTG. Univariate analysis and multiple linear regression analysis were performed.

RESULTS

The mean score of PTG among the spouses was 57.77 (SD = 12.03). There were significant differences in PTG among spouses with different education levels, marriage duration, number of children, per capita monthly income, other traumatic events within 6 months, and time since diagnosis groups. Pearson's correlation analysis revealed that deliberate rumination, self-disclosure, and locus of control were significantly associated with PTG. The multiple regression model revealed that 53.6% of the variance in PTG was explained by marriage duration, time since diagnosis, self-disclosure, deliberate rumination, and internality locus of control.

CONCLUSIONS

This study was one of the early attempts in evaluating PTG among spouses of newly diagnosed gynecological cancer survivors and identified several significant, potentially modifiable factors (self-disclosure, deliberate rumination, and internality locus of control) associated with PTG, providing an important guide for the development of effective psychosocial interventions for this population.

Factors Affecting Mental Health Professionals' Sharing of Their Lived Experience in the Workplace: A Scoping Review

OBJECTIVE

Research has suggested that some mental health professionals (MHPs) continue to hold stigmatized beliefs about persons with emotional distress. These beliefs may be amenable to contact-based interventions with similar peers. To inform future interventions, policy, and research, this scoping review examined existing literature to identify factors that affect disclosure of lived experience by MHPs to colleagues and supervisors.

METHODS

A systematic search was conducted of four online databases, gray literature, and the reference lists of included articles. Primary research studies of any design conducted with MHPs with lived experience of emotional distress and their colleagues were included. The findings of included studies were inductively coded within the themes of enabling, constraining, and intrapersonal factors influencing disclosure.

RESULTS

A total of 23 studies were included in data extraction and synthesis. Factors that influenced MHPs' sharing of their lived experience in the workplace were categorized into five overarching themes: the "impaired professional," the "us and them" divide, the "wounded healer," belief in the continuum of emotional distress, and negotiating hybrid identities. MHPs with lived experience described feeling conflict between professional and service user identities that affected the integration and use of their clinical and experiential knowledge. Enabling factors reflected best-practice human resource management, such as organizational leadership, access to supervision and training, inclusive recruitment practices, and the provision of reasonable accommodations.

CONCLUSIONS

Findings of this scoping review suggest that organizational interventions to support MHPs in order to share their lived experience may improve workplace diversity and well-being, with implications for service users' experience.