Personality Profiles and Psychological Adjustment in Breast Cancer Patients

Using temperament and character dimensions (TCI) to analyze the personality profiles of adults and older adults with cancer managed in outpatient settings

Introduction

This study aimed to investigate profiles of personality evaluated by temperament and character dimensions (TCI) in 638 adult and older adult patients (CP) who had recently been diagnosed with breast, colon, lung, and other kinds of cancer (female and male subjects were assessed). Tests: Temperament and Character Inventory (TCI). Statistical analysis: cluster K-means analysis for personality traits.

Results

Two different personality profiles emerged: "Low self-determination and pessimism" (Profile 1) and "Self-determination and self-caring (medium)" (Profile 2). The following significant differences were observed in the TCI dimensions between the two profiles: Temperament-Novelty-Seeking (NS) (p < 0.001); Harm-Avoidance (HA) (p < 0.001); Reward-Dependence (RD) (p < 0.001); Persistence (PS) (p < 0.001); Character-Self-Directness (SD) (p < 0.001); Cooperativeness (C) (p > 0.001); Self-Transcendence (ST) (p < 0.001). No differences in the two profiles were found between adult and elderly patients. Profile 1 - "Low self-determination and pessimism": Patients with this profile present low resistance to frustration, poor search for novelty and solutions (NS), anxiety and pessimism (medium HA), high social attachment and dependence on the approval of others (medium-high RD), and low self-determination (PS) as temperament dimensions; and medium-low self-direction, low autonomy and ability to adapt (SD-medium-low), medium cooperativeness (C), and low self-transcendence (ST) as character dimensions. Profile 2 - "Self-determination and self-caring (medium)": Patients with this profile have resistance to frustration, ability to search for novelty and solutions (medium-NS), low anxiety and pessimism (HA), low social attachment and dependence on approval (medium-low-RD), and determination (medium-high PS) as dimensions of temperament; and autonomy and capacity for adaptation and self-direction (SD), capacity for cooperation (high-CO), and self-transcendence (medium-high-ST) as character dimensions.

Conclusion

Personality screening allows a better understanding of the difficulties of the individual patient and the planning of targeted psychotherapeutic interventions that promote quality of life and good adaptation to the disease course.

From Pixels to Pathology: Employing Computer Vision to Decode Chest Diseases in Medical Images

Radiology has been a pioneer in the healthcare industry's digital transformation, incorporating digital imaging systems like picture archiving and communication system (PACS) and teleradiology over the past thirty years. This shift has reshaped radiology services, positioning the field at a crucial junction for potential evolution into an integrated diagnostic service through artificial intelligence and machine learning. These technologies offer advanced tools for radiology's transformation. The radiology community has advanced computer-aided diagnosis (CAD) tools using machine learning techniques, notably deep learning convolutional neural networks (CNNs), for medical image pattern recognition. However, the integration of CAD tools into clinical practice has been hindered by challenges in workflow integration, unclear business models, and limited clinical benefits, despite development dating back to the 1990s. This comprehensive review focuses on detecting chest-related diseases through techniques like chest X-rays (CXRs), magnetic resonance imaging (MRI), nuclear medicine, and computed tomography (CT) scans. It examines the utilization of computer-aided programs by researchers for disease detection, addressing key areas: the role of computer-aided programs in disease detection advancement, recent developments in MRI, CXR, radioactive tracers, and CT scans for chest disease identification, research gaps for more effective development, and the incorporation of machine learning programs into diagnostic tools.

Colorectal Cancer Surgery: Influence of Psychosocial Factors

(1) Background: In the treatment of colorectal cancer, it is important to consider different psychosocial factors. Our first objective was to measure the levels of perceived stress in subjects diagnosed with colorectal cancer awaiting potentially curative surgery. Also, we aimed to analyse what coping styles these patients used, how they perceived their illness, and the subsequent influence of these factors on their levels of stress. (2) Methods: Stress, coping styles and illness perception were assessed in a sample of 107 patients. The instruments used were the Perceived Stress Scale (PSS-14), the Stress Coping Questionnaire (SCQ) and the Brief Illness Perception Questionnaire (BIPQ-R). (3) Results: Patients using active coping styles have lower levels of perceived stress (p = 0.000; p = 0.002) than patients making use of passive coping styles (p = 0.000; p = 0.032; p = 0.001). A multi-linear regression model found that the perception of illness and the use of the negative approach coping style (p = 0.000; p = 0.001) influence an increase in perceived stress, and that a decrease in stress levels was influenced by the problem solving coping style (p = 0.001). (4) Conclusions: Based on our results, we recommend preventive interventions in care patients undergoing colorectal cancer surgery.

Development and psychometric properties of the Stressors in Breast Cancer Scale

Background

A diagnosis of breast cancer generates psychological stress, due not only to treatment and its side effects but also to the impact on different areas of the patient’s daily life. Although there are instruments for measuring psychological stress in the cancer context, there is currently no tool for assessing stressors specific to breast cancer.

Aims

The aim of this study was to develop the Stressors in Breast Cancer Scale (SBCS).

Method

A panel of experts evaluated the clarity and relevance of scale items, providing validity evidence based on test content. Psychometric properties of the scale were then analyzed.

Results

Validity evidence based on the internal structure of the SBCS was obtained through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), following a cross-validation strategy. The CFA supported a second-order factor model with five dimensions: physical appearance and sex strains, health and daily difficulties, interpersonal relationship strains, healthcare strains, and worries and concerns about the future. This structure was invariant across two groups distinguished by time from cancer diagnosis (less than 3 and 3 years or more from diagnosis). Reliability, based on McDonald’s omega and Cronbach’s alpha coefficients, ranged from 0.83 to 0.89 for factor scores, and reached 0.95 for total scores. Validity evidence was also provided by correlations with depression, anxiety, perceived stress, and perceived health and quality of life.

Discussion

The results support the use of the SBCS for measuring stress as a stimulus in the breast cancer context. Implications for clinical practice and research are discussed.

Blaming in Women with Breast Cancer Subjected to Intimate Partner Violence: A Hermeneutic Phenomenological Study

Objective

The present study was conducted to determine the blaming experiences of women with breast cancer subjected to intimate partner violence (IPV).

Methods

This hermeneutic phenomenological study explored blaming experiences of women with breast cancer subjected to IPV. Nine women with a mean age of 47.5 years referred to oncology hospitals in Tabriz (Iran) were interviewed using semi-structured in-depth interviews. Data analysis was performed based on Van Manen's thematic analysis method.

Results

The main theme emerged from the data is "blaming as a shifting cognitive judgment" with three subthemes of patient blaming partner, partner blaming patient, and self-blame.

Conclusions

The findings of the present study revealed that cognitive judgment shifting could be emerged as different types of blaming in the patients with breast cancer exposed to IPV. It is suggested that oncology nurses heed the psychological needs of women with breast cancer through holistic nursing considering couple and family-centered care.

Psychometric properties of the perceived stress scale (pss-10) with breast cancer patients

Breast cancer diagnosis is one of the most difficult events that a woman can experience during her life and it usually produces high levels of stress. Global measures of perceived stress are useful for screening and for comparing stress levels between cancer patients and other clinical and nonclinical populations. One such instrument that is widely used is the Perceived Stress Scale (pss-10), but its psychometric properties have scarcely been analysed with breast cancer patients. The aim of this study was to provide validity evidence regarding the use of the 10-item version of the pss-10 as a tool for measuring perceived stress in this context. Participants were 215 Spanish breast cancer patients who completed the PSS-10 and the DASS-21, a measure of affective distress (depression, anxiety, and stress). The internal structure of the PSS-10 was examined through confirmatory factor analysis (CFA), and the reliability of test scores was estimated using McDonald's omega coefficient. Validity evidence based on relationships with other variables was also obtained using correlation analysis. The CFA supported a correlated two-factor structure: perceived helplessness (six negatively worded items) and perceived self-efficacy (four positively worded items). Reliability coefficients for scores on these two factors were 0.87 and 0.73, respectively. Scores on affective distress (DASS-21) were strongly and positively correlated with perceived helplessness and moderately and negatively correlated with perceived self-efficacy. The PSS-10 is an adequate tool for measuring perceived stress in the breast cancer context and it may be useful for identifying women at risk of psychological maladjustment.

Life Satisfaction and Character Strengths in Women With Breast Cancer: Zest and Hope as Predictors

BACKGROUND

Empirical evidence shows that life satisfaction is positively related to character strengths, and although this association has been observed in different populations, it is scarce in breast cancer patients. This study analyzes the relationship between character strengths and life satisfaction in Spanish women diagnosed with breast cancer.

METHODS

A sample of 117 women completed the Satisfaction with Life Scale (SWLS) and the Spanish version of the VIA Inventory of Strengths (VIA-IS). Correlation analysis and regression modeling were performed to determine which strengths predict life satisfaction.

RESULTS

The results of the correlation analysis showed that 15 strengths were positively and significantly associated with life satisfaction, with the highest correlations corresponding to zest, hope, curiosity, social intelligence, love, gratitude, and judgment. Regression modeling indicated that of these, zest and hope were key strengths for predicting life satisfaction.

CONCLUSIONS

These findings suggest that intervention programs based on the development of zest and hope could help to improve life satisfaction and, therefore, the psychological well-being of women with breast cancer.

Psychological suppressive profile and autoantibodies variability in women living with breast cancer: A prospective cross-sectional study

Breast cancer (BC) is a leading cause of women's morbimortality worldwide. Unfortunately, attempts to predict women's susceptibility to developing BC well before it becomes symptomatic, based on their genetic, family, and reproductive background have proved unsatisfactory. Here we analyze the matching of personality traits and protein serum profiles to predict women's susceptibility to developing cancer. We conducted a prospective study among 150 women (aged 18-70 years), who were distributed into three groups (n = 50): women without breast pathology and women diagnosed with BC or benign breast pathology. Psychological data were obtained through standardized psychological tests and serum protein samples were analyzed through semiquantitative protein immunoblotting. The matching for psychological and immunological profiles was constructed from these data using a mathematical generalized linear model.The model predicted that women who have stronger associations between high-intensity stress responses, emotional containment, and an increased number and reduced variability of serum proteins (detected by IgG autoantibodies) have the greatest susceptibility to develop BC before the disease has manifested clinically. Hence, the present study endorses the possibility of using psychological and biochemical tests in combination to increase the possibility of identifying women at risk of developing BC before the disease shows clinical manifestations. A longitudinal study must be instrumented to test the prediction ability of the instrument in real scenarios.

Trial registration

Committee of Ethical Research of the Hospital General de México "Dr. Eduardo Liceaga," Ministry of Health (DI/12/111/03/064).

Religiosity, Emotions and Health: The Role of Trust/Mistrust in God in People Affected by Cancer

Trust in God implies the conviction that God looks after a person’s own interests. The first evidence of a relationship between this construct and people’s psychological and emotional health dates back several centuries. However, the literature on this is limited, especially for people with physical health conditions, such as cancer. Therefore, the purpose of this study is to test the relationships between trust/mistrust in God, social support and emotions in people affected by cancer. The sample consisted of 177 women and men in Spain diagnosed with cancer. The instruments used were the Trust/Mistrust in God Scale, the Positive and Negative Affect Schedule and the Multidimensional Scale of Perceived Social Support. Correlation analysis and hierarchical regression analysis were performed to compare several explanatory models for the dependent variables: positive and negative emotions. The results show significant relationships between all variables. It was observed that, when trust/mistrust in God is included in the model, only mistrust in God predicts both types of emotions. In addition, both social support and some sociodemographic variables help to predict the dependent variables. This study shows that valuing the religiosity and spirituality of oncology patients in healthcare settings can have a significant positive impact on the health of these individuals. Moreover, it represents an important approach to the study of trust/mistrust in God in the context of a traditionally Catholic country.

Emotional Intelligence and Productive Relationships with Patients and Colleagues

A higher degree of emotional intelligence among health professionals has been shown to result in better patient care and improved wellbeing of the health professional. For nuclear medicine, emotional competence of staff and emotional proficiency of institutions, are important expectations. Nonetheless, there is a paucity of material outlining purposeful honing of emotional intelligence, or the tools for such development, across the literature. While the hidden curriculum provides powerful and authentic educational opportunities, incidental or accidental (organic) capability development does not benefit overall professionalism. Deliberate curricula can be achieved through a scaffold of emotional training and immersion programs that allow the nuclear medicine student or practitioner to recognize and foster emotionally safe environments. This requires careful planning to drive the emotional intelligence pipeline. Central to this is an understanding of learning taxonomies. There remain substantial gaps between the most and least emotionally insightful that could be addressed by rich immersive activities targeting emotional proficiency among students and the graduate workforce.

General Health and Resilience of Breast Cancer Patients: The Mediator Role of Affective Well-Being

A considerable percentage of breast cancer patients present adequate psychological adjustment and do not become distressed after a breast cancer diagnosis, or, if they do, they manage to recover quickly, which is reflected in their general health. This study aims to determine the role of some psychological mechanisms that affect psycho-oncological adjustment, specifically, resilience and well-being, in a sample of 109 breast cancer patients. For this purpose, participants completed questionnaires on general health, resilience, and well-being (life satisfaction and affect). Correlation analyses and a multiple mediation model were carried out. The results revealed that Pearson correlations between all variables showed strong associations between general health scores and positive and negative affect scores, and moderate associations with life satisfaction and resilience scores. Furthermore; in the mediation model, the total percentage of variance explained by the overall model was 55% (R² = 0.55), where resilience was associated with positive and negative affect, and that influenced general health. These results show that affective well-being is especially relevant in breast cancer patients in terms of its mediating role in resilience, making it clear that an appropriate intervention focused on managing patients' affective status can have a favorable impact on their overall health.

Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform

It was to explore the application value of health cloud service platform based on data mining algorithm and wireless network in the analysis of psychosocial factors and psychological characteristics of personality of patients with chronic diseases. Based on the demand analysis of cloud service platform for chronic diseases, a health cloud service platform including three modules was established: support layer, application layer, and interaction layer; and K-means algorithm and Apriori algorithm were used to mine and process data. The changes of pulse wave and EEG signal of epileptic seizures before and after processing by wireless network health cloud service platform were analyzed. 42 patients with idiopathic generalized epilepsy were selected as the research subjects, and 40 volunteers with normal physical examination during the same period were selected as the control group. The differences in the basic clinical characteristics data, Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Symptom Checklist 90 (SCL-90), and Eysenck Personality Questionnaire-Revision Short Scale for Chinese (EPQ-RSC) were compared between the two groups. It was found that the initial EEG signals of epileptic patients had noise pollution before and after the seizure, and the noise in the EEG signals was filtered out after digital technology processing in the cloud service platform. The maximum number of epileptic patients aged 18∼30 years was 17 (40.48%), and the mean scores of HAMD and HAMA scales in the epileptic group were significantly higher than those in the control group (P < 0.001). The total score of SCL-90, somatization, obsessive-compulsive symptoms, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychosis in the epilepsy group were obviously higher than those in the control group (P < 0.01). The mean value of EPQ-RSC and neuroticism (N) was clearly higher (P < 0.05), the mean value of extroversion (E) was significantly lower (P < 0.01), and the mean value of Lie Scale was significantly higher (P < 0.05) in the epileptic group in contrast with those in the control group. It indicates that the cloud service platform for chronic diseases based on artificial intelligence data mining technology and wireless network has potential application value. Epilepsy patients with chronic diseases should be paid more attention to their psychosocial factors and psychological characteristics of personality in the treatment process.

Structural Analysis of Social Behavior: Using Cluster Analysis to Examine Intrapsychic Personality Traits Associated With Depression in Women With Breast Cancer

Background

This study aimed to investigate personality traits associated with depression in breast cancer women (BCW).

Methods

Sample: 236 BCW recently diagnosed (early stages). Tests: SASB-Structural-Analysis of Social-Behavior; IPAT-CDQ-Depression. Statistical analysis: cluster K-Means analysis to explore SASB personality-traits considering the 8 SASB clusters (Cl); CDQ scores dichotomized by 50th percentile cutoff (high/low); Pearson’s chi square test to compare CDQ levels and SASB traits.

Results

Cluster analysis results supported two distinguishable SASB personality traits (for all SASB Cl-Scales P < .001) classified as “Love and Autonomy” (62.2%) and “Control and Hate” (37.8%). Patients with Love/Autonomy traits are spontaneous, accept their deepest feelings and desire to be close to other people (Cl1, Cl2, Cl3, Cl4). They show a medium value of self-control and a low tendency to self-abusive and self-critical behaviors (Cl5, Cl6). They pay attention to themselves and to their needs at emotional and physical levels also if may be occasionally engaged in self-destructive behaviors (Cl7, Cl8). Women with Control/Hate traits are not spontaneous and do not always express emotions (C1, Cl2, Cl3, Cl4) and flexibility in their relationship with others (Cl5, Cl6). In stressful situations, they may ignore the option of choices for self-growth and neglect their needs and those of others (Cl7, Cl8). BCWs with Control/Hate traits scored higher in depression (P <.001) than those with the Love/Autonomy profile.

Conclusions

Healthcare professionals should be aware of these personality traits and their association with depression to identify the psychologically most vulnerable BCW and improve the care they provide them. The psychotherapeutic intervention should be planned to face on the personality problems.

The Satisfaction with Life Scale in breast cancer patients: Psychometric properties

Background/Objective

This study aims to analyze the psychometric properties of the Satisfaction with Life Scale (SWLS), examining the reliability of scale scores and providing validity evidence for its use with breast cancer patients. We provide validity evidence based on internal structure and on relationships with positive psychological variables and other variables indicative of psychological adjustment.

Method

Participants were 222 Spanish women with a diagnosis of breast cancer. They completed the SWLS and a battery of questionnaires measuring positive and negative affect, self-esteem, resilience, emotional intelligence, flourishing, optimism, depression, anxiety, and stress.

Results

Confirmatory factor analysis supported a single-factor structure for the SWLS, S-B χ²(5) = 7.36, p = .19, CFI = .99, NNFI = .99, RMSEA = .046. The reliability of test scores estimated with McDonald's omega yielded a value of .80. Validity evidence was provided by a positive correlation between SWLS scores and positive affect, self-esteem, resilience, emotional intelligence (specifically, clarity and repair), flourishing, and optimism (range: .24, .69), and by a negative correlation with negative affect, pessimism, depression, anxiety, and stress (range: -.25, -.59).

Conclusions

The Spanish version of the SWLS showed satisfactory psychometric properties and it is an appropriate measure for use in the breast cancer context.

Causal Attributions in Breast Cancer Patients Planning to Undergo Adjuvant Endocrine Therapy

The aim of this study was to explore causal attributions among Korean breast cancer patients who were planning to undergo adjuvant endocrine therapy (AET) as well as the relationships between patient demographic and clinical characteristics and their causal attributions. Causal attributions were assessed with an open-ended response item, which asked patients to list what they thought were the three most important causal factors of their illness. The relationships between patient characteristics and causal attributions were determined through univariate analysis, and the relationships between causal attributions were obtained using social network analysis. A total of 299 participants provided 707 responses. Stress, diet, and exercise were believed to be the three most likely causes of breast cancer. There were no significant differences between causal attributions and the age, education level, marital status, or cancer stage of patients. However, there were differences in the associations between personality, genetics, and reproductive history and patient-identified causal attributions according to the patients' family history of cancer. Patients with a family history of cancer were more likely to believe that personality and genetics/family history were causes of breast cancer compared to patients without such a history. Therefore, it is necessary to educate patients to perceive stress and lifestyle-related factors as modifiable causal factors in order to have a positive effect on their adherence to AET.