Default mode network shows distinct emotional and contextual responses yet common effects of retrieval demands across tasks.

The default mode network (DMN) lies towards the heteromodal end of the principal gradient of intrinsic connectivity, maximally separated from the sensory-motor cortex. It supports memory-based cognition, including the capacity to retrieve conceptual and evaluative information from sensory inputs, and to generate meaningful states internally; however, the functional organisation of DMN that can support these distinct modes of retrieval remains unclear. We used fMRI to examine whether activation within subsystems of DMN differed as a function of retrieval demands, or the type of association to be retrieved, or both. In a picture association task, participants retrieved semantic associations that were either contextual or emotional in nature. Participants were asked to avoid generating episodic associations. In the generate phase, these associations were retrieved from a novel picture, while in the switch phase, participants retrieved a new association for the same image. Semantic context and emotion trials were associated with dissociable DMN subnetworks, indicating that a key dimension of DMN organisation relates to the type of association being accessed. The frontotemporal and medial temporal DMN showed a preference for emotional and semantic contextual associations, respectively. Relative to the generate phase, the switch phase recruited clusters closer to the heteromodal apex of the principal gradient-a cortical hierarchy separating unimodal and heteromodal regions. There were no differences in this effect between association types. Instead, memory switching was associated with a distinct subnetwork associated with controlled internal cognition. These findings delineate distinct patterns of DMN recruitment for different kinds of associations yet common responses across tasks that reflect retrieval demands.

Understanding empathy deficits and emotion dysregulation in psychopathy: The mediating role of alexithymia.

Psychopathy is a severe personality disorder marked by a wide range of emotional deficits, including a lack of empathy, emotion dysregulation, and alexithymia. Previous research has largely examined these emotional impairments in isolation, ignoring their influence on each other. Thus, we examined the concurrent interrelationship between emotional impairments in psychopathy, with a particular focus on the mediating role of alexithymia. Using path analyses with cross-sectional data from a community sample (N = 315) and a forensic sample (N = 50), our results yielded a statistically significant mediating effect of alexithymia on the relationship between psychopathy and empathy (community and forensic) and between psychopathy and emotion dysregulation (community). Moreover, replacing psychopathy with its three dimensions (i.e., meanness, disinhibition, and boldness) in the community sample revealed that boldness may function as an adaptive trait, with lower levels of alexithymia counteracting deficits in empathy and emotion dysregulation. Overall, our findings indicate that psychopathic individuals' limited understanding of their own emotions contributes to their lack of empathy and emotion dysregulation. This underscores the potential benefits of improving emotional awareness in the treatment of individuals with psychopathy.

Charitable crowdfunding donation-intention estimation depending on emotional project images using fNIRS-based functional connectivity.

Charitable fundraising increasingly relies on online crowdfunding platforms. Project images of charitable crowdfunding use emotional appeals to promote helping behavior. Negative emotions are commonly used to motivate helping behavior because the image of a happy child may not motivate donors to donate as willingly. However, some research has found that happy images can be more beneficial. These contradictory results suggest that the emotional valence of project imagery and how fundraisers frame project images effectively remain debatable. Thus, we compared and analyzed brain activation differences in the prefrontal cortex governing human emotions depending on donation decisions using functional near-infrared spectroscopy, a neuroimaging device. We advance existing theory on charitable behavior by demonstrating that little correlation exists in donation intentions and brain activity between negative and positive project images, which is consistent with survey results on donation intentions by victim image. We also discovered quantitative brain hemodynamic signal variations between donors and nondonors, which can predict and detect donor mental brain functioning using functional connectivity, that is, the statistical dependence between the time series of electrophysiological activity and oxygenated hemodynamic levels in the prefrontal cortex. These findings are critical in developing future marketing strategies for online charitable crowdfunding platforms, especially project images.

Violent and prosocial music: Evidence for the impact of lyrics and musical tone on aggressive thoughts, feelings, and behaviors.

Although there is a large research base on the psychological impacts of violent and prosocial visual media, there is little research addressing the impacts of violent and prosocial music, and which facets of the music have the greatest impact. Four experiments tested the impact of lyrics and/or musical tone on aggressive and prosocial behavior, and on underlying psychological processes, using purpose-built songs to avoid the effect of music-related confounds. In study one, where mildly aggressive, overtly aggressive and violent lyrics were compared to neutral lyrics, any level of lyrical aggression caused an increase in behavioral aggression, which plateaued for all three aggression conditions. Violent lyrics were better recalled than other lyrics one week later. In studies two-three no significant effects of lyrics, or of aggressive versus nonaggressive musical tone, were found on aggressive or prosocial behavior. In terms of internal states, violent lyrics increased hostility/hostile cognitions in all studies, and negatively impacted affective state in three studies. Prosocial lyrics decreased hostility/hostile cognitions in three studies, but always in tandem with another factor. Aggressive musical tone increased physiological arousal in two studies and increased negative affect in one. In study four those who listened to violent lyrics drove more aggressively on a simulated drive that included triggers for aggression. Overall, violent lyrics consistently elicited hostility/hostile cognitions and negative affect, but these did not always translate to aggressive behavior. Violent music seems more likely to elicit behavioral aggression when there are aggression triggers and a clear way to aggress. Implications are discussed.

The relationship between health-promoting behaviors and negative emotions in college freshmen: a cross-lagged analysis.

Background: The prevalence of mental health issues has been gradually increasing among college students in recent years. Improvements in mental health can be achieved through changes in daily behavior and the use of psychological counseling. This study aims to investigate the relationship between health-promoting behaviors and negative emotions among college freshmen as they enter the university. It also examines the impact of various sub-dimensions of health-promoting behaviors and other factors on the negative emotions (stress, anxiety, and depression) experienced by college freshmen. Methods: Using the Negative Emotion and Health-Promoting Behavior scales, a 7-month longitudinal study was conducted on 4,252 college freshmen, with collection of data at two time points (T1: November 12, 2021; T2: June 17, 2022). Out of this longitudinal study, 3,632 valid samples were obtained. This research aimed to explore the association and impact between negative emotions and the level of health-promoting behaviors among college students during their time at the university. Results: ① There were significant differences in the levels of health-promoting behaviors and negative emotions over the course of 7 months (P < 0.05). Health-promoting behaviors were found to have a significant negative correlation with negative emotions (P < 0.05). ② Negative emotions at T1 significantly negatively predicted health-promoting behaviors at T2 (ß = -0.11, P < 0.01), while health-promoting behaviors at T1 significantly negatively predicted negative emotions at T2 (ß = -0.12, P < 0.001). ③ Stress management (ß = -0.104, P < 0.05; ß = -0.087, P < 0.05), self-actualization (ß = -0.282, P < 0.01; ß = -0.260, P < 0.05), health responsibility (ß = -0.057, P < 0.05; ß = -0.088, P < 0.05), and interpersonal relations (ß = 0.068, P < 0.01; ß = 0.138, P < 0.05) were important components in improving stress and anxiety. Self-actualization (ß = -0.437, P < 0.001), exercise (ß = 0.048, P < 0.001), nutrition (ß = 0.044, P < 0.001), and interpersonal relations (ß = 0.065, P < 0.001) were important components in improving depression. ④ Gender, place of household registration, and whether the individual is the only child were significant factors affecting negative emotions in college freshmen. Conclusion: The level of health-promoting behaviors is an important indicator for assessing the negative emotional states of college freshmen. Enhancing health-promoting behaviors across various dimensions can help alleviate different types of negative emotions. Gender, place of household registration, and being the only child are significant factors that influence negative emotions.

The nonverbal expression of guilt in healthy adults.

Guilt is a negative emotion elicited by realizing one has caused actual or perceived harm to another person. One of guilt's primary functions is to signal that one is aware of the harm that was caused and regrets it, an indication that the harm will not be repeated. Verbal expressions of guilt are often deemed insufficient by observers when not accompanied by nonverbal signals such as facial expression, gesture, posture, or gaze. Some research has investigated isolated nonverbal expressions in guilt, however none to date has explored multiple nonverbal channels simultaneously. This study explored facial expression, gesture, posture, and gaze during the real-time experience of guilt when response demands are minimal. Healthy adults completed a novel task involving watching videos designed to elicit guilt, as well as comparison emotions. During the video task, participants were continuously recorded to capture nonverbal behaviour, which was then analyzed via automated facial expression software. We found that while feeling guilt, individuals engaged less in several nonverbal behaviours than they did while experiencing the comparison emotions. This may reflect the highly social aspect of guilt, suggesting that an audience is required to prompt a guilt display, or may suggest that guilt does not have clear nonverbal correlates.

A systematic review of workplace triggers of emotions in the healthcare environment, the emotions experienced, and the impact on patient safety.

BACKGROUND: Healthcare staff deliver patient care in emotionally charged settings and experience a wide range of emotions as part of their work. These emotions and emotional contexts can impact the quality and safety of care. Despite the growing acknowledgement of the important role of emotion, we know very little about what triggers emotion within healthcare environments or the impact this has on patient safety. OBJECTIVE: To systematically review studies to explore the workplace triggers of emotions within the healthcare environment, the emotions experienced in response to these triggers, and the impact of triggers and emotions on patient safety. METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, four electronic databases were searched (MEDLINE, PsychInfo, Scopus, and CINAHL) to identify relevant literature. Studies were then selected and data synthesized in two stages. A quality assessment of the included studies at stage 2 was undertaken. RESULTS: In stage 1, 90 studies were included from which seven categories of triggers of emotions in the healthcare work environment were identified, namely: patient and family factors, patient safety events and their repercussions, workplace toxicity, traumatic events, work overload, team working and lack of supervisory support. Specific emotions experienced in response to these triggers (e.g., frustration, guilt, anxiety) were then categorised into four types: immediate, feeling states, reflective, and longer-term emotional sequelae. In stage 2, 13 studies that explored the impact of triggers or emotions on patient safety processes/outcomes were included. CONCLUSION: The various triggers of emotion and the types of emotion experienced that have been identified in this review can be used as a framework for further work examining the role of emotion in patient safety. The findings from this review suggest that certain types of emotions (including fear, anger, and guilt) were more frequently experienced in response to particular categories of triggers and that healthcare staff's experiences of negative emotions can have negative effects on patient care, and ultimately, patient safety. This provides a basis for developing and tailoring strategies, interventions, and support mechanisms for dealing with and regulating emotions in the healthcare work environment.

FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification.

Objective. Electroencephalogram (EEG) analysis has always been an important tool in neural engineering, and the recognition and classification of human emotions are one of the important tasks in neural engineering. EEG data, obtained from electrodes placed on the scalp, represent a valuable resource of information for brain activity analysis and emotion recognition. Feature extraction methods have shown promising results, but recent trends have shifted toward end-to-end methods based on deep learning. However, these approaches often overlook channel representations, and their complex structures pose certain challenges to model fitting.Approach. To address these challenges, this paper proposes a hybrid approach named FetchEEG that combines feature extraction and temporal-channel joint attention. Leveraging the advantages of both traditional feature extraction and deep learning, the FetchEEG adopts a multi-head self-attention mechanism to extract representations between different time moments and channels simultaneously. The joint representations are then concatenated and classified using fully-connected layers for emotion recognition. The performance of the FetchEEG is verified by comparison experiments on a self-developed dataset and two public datasets.Main results. In both subject-dependent and subject-independent experiments, the FetchEEG demonstrates better performance and stronger generalization ability than the state-of-the-art methods on all datasets. Moreover, the performance of the FetchEEG is analyzed for different sliding window sizes and overlap rates in the feature extraction module. The sensitivity of emotion recognition is investigated for three- and five-frequency-band scenarios.Significance. FetchEEG is a novel hybrid method based on EEG for emotion classification, which combines EEG feature extraction with Transformer neural networks. It has achieved state-of-the-art performance on both self-developed datasets and multiple public datasets, with significantly higher training efficiency compared to end-to-end methods, demonstrating its effectiveness and feasibility.

Feelings and thoughts of midwifery students during their first birth suite placement: A qualitative study.

This descriptive qualitative study aimed to understand the feelings and thoughts experienced by 4th year midwifery students during the first birth they attended during clinical practice. Focus group interviews were conducted with 22 final year midwifery students in Istanbul, Türkiye December 2020. The transcribed data were analyzed by the descriptive qualitative analysis method. The students experienced not only negative feelings such as fear, torment, anxiety but also positive feelings such as hope, excitement, and curiosity during the first birth practice. The situations that caused negative feelings and thoughts were not only the feelings of the students but also the conditions that negatively affected the care provided to the patient in the clinic. The clinical practice environment affects the feelings and thoughts of midwifery students about the birth process. For this reason, improving the clinical practice environment and supporting students throughout the education process may contribute to the development of positive feelings and thoughts when attending as a student for their first birth suite placement.

Online consumer testing beyond central location tests: A case study for brewed coffee.

Due to the constraints of the COVID-19 pandemic, conducting sensory evaluations requiring direct interactions became challenging. In response, researchers have been motivated to devise non-face-to-face testing methods as alternatives. This study aimed to compare two non-face-to-face home-use tests (HUT) with the traditional face-to-face central location test (CLT). Both HUTs involved online recruitment and sample delivery to participants' homes. One HUT provided a written protocol with no direct interaction (contactless HUT; C-HUT), whereas the other included an online meeting with a researcher for live guidance (online HUT; O-HUT). Four coffee samples were evaluated on the basis of liking and sensory and emotional attributes. The comparison between CLT and O-HUT showed RV coefficients of 0.92, 0.93, and 0.98 (P < 0.05) for liking and sensory and emotional attributes, respectively. In addition, based on the RV coefficient, the CLT results showed a significantly greater similarity to those of O-HUT compared to those of C-HUT. The O-HUT also outperformed the C-HUT in its ability to significantly discriminate between samples. Hence, real-time interactions between researchers and participants, as facilitated by O-HUT, may be more suitable in certain scenarios compared to C-HUT, which relies solely on a written protocol. Overall, these findings suggest that C-HUT and O-HUT are suitable methods for collecting sensory data and overcoming geographic and face-to-face contact limitations, providing greater flexibility, and reducing the time and cost associated with traditional sensory evaluations.

Changes in the choice motive and emotional perception of chocolates in response to stress.

Although chocolates are often chosen for sensory pleasure, they are also selected to enhance mood and relieve emotional stress, or potentially chosen for its perceived health benefits if stress adversely affects physical well-being. This study aimed to investigate whether emotional stress influenced the motivations behind chocolate selection, subsequent liking, and emotional response. Participants were divided into a control group (n = 76) and a group with induced acute stress (n = 74). Stimuli were presented as dark chocolate packaging, each evoking sensory appeal, health, and emotional stress relief. Participants chose one stimulus from three options that they were most inclined to consume and evaluated the overall liking and emotional attributes of the stimuli. They also rated the overall liking and emotional attributes of three types of chocolates, each identical but paired with distinct stimuli. Their food attitudes were also assessed. Stress did not change the choice of stimuli, indicating that stress did not influence the motivation for chocolate selection. Instead, the choice of stimuli aligned with participants' food attitudes; those favoring sensory appeal and emotional stress relief prioritized pleasure in their usual food choices. Stress tended to increase liking and chocolate-associated positive emotions with sensory appeal, as opposed to others, to immediately alleviate negative emotions. The most robust motivation to consume chocolates was sensory pleasure, irrespective of stress, because of a preestablished association between sensory pleasure and mood enhancement.

Effects of mind-regulating acupuncture on pain, negative emotion and sleep quality in patients with postherpetic neuralgia： a randomized controlled pilot trial. / è°ƒç¥žé’ˆæ³•å¯¹å¸¦çŠ¶ç–±ç–¹åŽé—ç¥žç»ç—›æ‚£è€ ç–¼ç—›ç¨‹åº¦ã€è´Ÿæ€§æƒ ç»ªå’Œç¡çœ è´¨é‡çš„å½±å“.

OBJECTIVES: To observe the effect of mind-regulating acupuncture on pain intensity, sleep quality, negative emotion in patients with postherpetic neuralgia (PHN), and evaluate the clinical effect of mind-regulating acupuncture combined with surrounding needling and heavy moxibustion at Ashi points (Extra) in treatment of PHN. METHODS: The patients with PHN were randomly divided into a control group (35 cases, 2 cases dropped out) and a comprehensive therapy group (35 cases). The patients in the control group were treated with surrounding needling and heavy moxibustion at Ashi points. In the comprehensive therapy group, the mind-regulating acupuncture therapy was delivered besides the treatment as the control group. The treatment was given once daily, one course of treatment was composed of 6 days and 2 courses were required in the 2 groups. Before and after treatment, the pain conditions were assessed using pain rating index (PRI), visual analogue scale (VAS) and present pain intensity (PPI), the negative emotions were assessed using Hamilton anxiety scale (HAMA) and Hamilton depression scale (HAMD), and the sleep quality with Pittsburgh sleep quality index (PSQI). One week before and one week after treatment, the average sleep time was recorded. The therapeutic effect of 2 groups was evaluated. The effective cases of 2 groups were followed up in 2 months after treatment completion and the recurrence of neuralgia was recorded. RESULTS: There were no statistical differences in the above indicators between the 2 groups before treatment. After 2 courses of treatment, the scores of PRI, VAS, PPI, HAMA, HAMD and PSQI were reduced when compared with those before treatment in the patients of the 2 groups (P<0.05), and the average sleep time was increased (P<0.05). The scores of PRI, VAS, PPI, HAMA, HAMD and PSQI in the comprehensive therapy group, as well as the average sleep time were all improved when compared with those of the control group (P<0.05). The total effective rate in the comprehensive therapy group (34/35, 97.14%) was higher than that of the control group (27/33, 81.82%, P<0.05) and the recurrence rate was lower (ï¼»2/34, 5.88%ï¼½vsï¼»8/27, 29.63%ï¼½, P<0.05). CONCLUSIONS: The combination of mind-regulating acupuncture with surrounding needling and heavy moxibustion at Ashi acupoint can effectively relieve PHN. Compared with the traditional surrounding acupuncture in pain area combined with moxibustion at Ashi points, this comprehensive therapy is more effective for ameliorating pain intensity, improving sleep quality and reducing negative emotions. It is also effective for declining the recurrence.

Analysis of addiction craving onset through natural language processing of the online forum Reddit.

AIMS: Alcohol cravings are considered a major factor in relapse among individuals with alcohol use disorder (AUD). This study aims to investigate the frequency and triggers of cravings in the daily lives of people with alcohol-related issues. Large amounts of data are analyzed with Artificial Intelligence (AI) methods to identify possible groupings and patterns. METHODS: For the analysis, posts from the online forum "stopdrinking" on the Reddit platform were used as the dataset from April 2017 to April 2022. The posts were filtered for craving content and processed using the word2vec method to map them into a multi-dimensional vector space. Statistical analyses were conducted to calculate the nature and frequency of craving contexts and triggers (location, time, social environment, and emotions) using word similarity scores. Additionally, the themes of the craving-related posts were semantically grouped using a Latent Dirichlet Allocation (LDA) topic model. The accuracy of the results was evaluated using two manually created test datasets. RESULTS: Approximately 16% of the forum posts discuss cravings. The number of craving-related posts decreases exponentially with the number of days since the author's last alcoholic drink. The topic model confirms that the majority of posts involve individual factors and triggers of cravings. The context analysis aligns with previous craving trigger findings related to the social environment, locations and emotions. Strong semantic craving similarities were found for the emotions boredom, stress and the location airport. The results for each method were successfully validated on test datasets. CONCLUSIONS: This exploratory approach is the first to analyze alcohol cravings in the daily lives of over 24,000 individuals, providing a foundation for further AI-based craving analyses. The analysis confirms commonly known craving triggers and even discovers new important craving contexts.

How culture shapes Chinese teacher's compassionate love.

BACKGROUND: Love could play a role in motivating teachers to help students and is closely related to students' achievement and prosocial behaviour. Though influenced by culture, teachers' love is not adequately studied. PURPOSE: This study explores how Chinese teachers' compassionate love is expressed and how situational factors such as Chinese culture and history influence or motivate teachers to perceive and express compassionate love for students. METHOD: This study adopted a qualitative approach of narrative study by describing and investigating the experience of a Chinese middle school teacher and two middle school students and their parents during COVID-19 pandemic. FINDINGS: Chinese teacher's compassionate love demonstrates some universal features in terms of emotional response, cognitive understanding and behaviour. Furthermore some Chinese culture-related features are also found: Chinese teachers behave in a caring and supporting way at the cost of sacrificing their own free time and comfort; an enduring long-term teacher-student relationship is valued; the Chinese culture encourages, sustains and motivates Chinese teacher's compassionate love. DISCUSSION: Teacher's compassionate love is a multi-dimensional concept entailing some universal traits in cognition, emotion and behaviour. The perception and enactment of teacher's love is subject to situational factors. Some measures for compassionate love could be built into teacher's education programme.

Information-based TMS to mid-lateral prefrontal cortex disrupts action goals during emotional processing.

The ability to respond to emotional events in a context-sensitive and goal-oriented manner is essential for adaptive functioning. In models of behavioral and emotion regulation, the lateral prefrontal cortex (LPFC) is postulated to maintain goal-relevant representations that promote cognitive control, an idea rarely tested with causal inference. Here, we altered mid-LPFC function in healthy individuals using a putatively inhibitory brain stimulation protocol (continuous theta burst; cTBS), followed by fMRI scanning. Participants performed the Affective Go/No-Go task, which requires goal-oriented action during affective processing. We targeted mid-LPFC (vs. a Control site) based on the individualized location of action-goal representations observed during the task. cTBS to mid-LPFC reduced action-goal representations in mid-LPFC and impaired goal-oriented action, particularly during processing of negative emotional cues. During negative-cue processing, cTBS to mid-LPFC reduced functional coupling between mid-LPFC and nodes of the default mode network, including frontopolar cortex-a region thought to modulate LPFC control signals according to internal states. Collectively, these results indicate that mid-LPFC goal-relevant representations play a causal role in governing context-sensitive cognitive control during emotional processing.

Enhancing aspect-based multi-labeling with ensemble learning for ethical logistics.

In the dynamic domain of logistics, effective communication is essential for streamlined operations. Our innovative solution, the Multi-Labeling Ensemble (MLEn), tackles the intricate task of extracting multi-labeled data, employing advanced techniques for accurate preprocessing of textual data through the NLTK toolkit. This approach is carefully tailored to the prevailing language used in logistics communication. MLEn utilizes innovative methods, including sentiment intensity analysis, Word2Vec, and Doc2Vec, ensuring comprehensive feature extraction. This proves particularly suitable for logistics in e-commerce, capturing nuanced communication essential for efficient operations. Ethical considerations are a cornerstone in logistics communication, and MLEn plays a pivotal role in detecting and categorizing inappropriate language, aligning inherently with ethical norms. Leveraging Tf-IDF and Vader for feature enhancement, MLEn adeptly discerns and labels ethically sensitive content in logistics communication. Across diverse datasets, including Emotions, MLEn consistently achieves impressive accuracy levels ranging from 92% to 97%, establishing its superiority in the logistics context. Particularly, our proposed method, DenseNet-EHO, outperforms BERT by 8% and surpasses other techniques by a 15-25% efficiency. A comprehensive analysis, considering metrics such as precision, recall, F1-score, Ranking Loss, Jaccard Similarity, AUC-ROC, sensitivity, and time complexity, underscores DenseNet-EHO's efficiency, aligning with the practical demands within the logistics track. Our research significantly contributes to enhancing precision, diversity, and computational efficiency in aspect-based sentiment analysis within logistics. By integrating cutting-edge preprocessing, sentiment intensity analysis, and vectorization, MLEn emerges as a robust framework for multi-label datasets, consistently outperforming conventional approaches and giving outstanding precision, accuracy, and efficiency in the logistics field.

Association between residential environment and emotional wellbeing among older adults in China: the mediating effect of health lifestyle.

Introduction: The association between the residential environment and emotional wellbeing (EWB) in older adults has received extensive attention from gerontologists, especially during the COVID-19 pandemic; however, the mediating mechanism of how residential environment affects emotional wellbeing has not been fully explored. This study examined the effects of the residential environment on EWB and the mediating role of health lifestyle. Methods: This study analyzed the survey data of 493 rural and 515 urban older adults from 2021 Chinese General Social Survey. General linear regression and structural equation models were used to examine the effects of residential environment and health lifestyle. Results: Urban participants exhibited clear advantages in EWB, residential environment, and physical activity. Residential environment significantly affected the EWB of older adults, and health lifestyle played a mediating role in this relationship. The residential environment and health lifestyle did not significantly affect EWB in rural participants. Discussion: This study revealed differences in the effects of health lifestyles and residential environments on EWB among older adults in rural and urban settings in China. This study provided empirical evidence of mental health disparities between older rural and urban Chinese residents.

[BRCA mutations and decision regret: a comprehensive analysis of existing research through a scoping review and reflections from a nursing perspective.] / Mutazioni BRCA e rimpianto decisionale: un'analisi approfondita della ricerca esistente tramite scoping review e riflessioni da una prospettiva infermieristica.

INTRODUCTION: Given the significance of healthcare decisions in women with BRCA1 and BRCA2 mutations and their impact on patients' lives, this study aims to map the existing literature on decision regret in women with BRCA1 and BRCA2 mutations. METHODS: A scoping review was conducted in the following databases: PubMed, Embase, Scopus, CINAHL, Cochrane, and Google Scholar. Inclusion criteria focused on decision regret in the female population with BRCA1 and/or BRCA2 mutations, with no restrictions on the methodologies of the included studies, but only in the English language. The selection process led to the inclusion of 13 studies. RESULTS: The analysis revealed a significant trend toward decision regret among patients facing complex medical choices. The quality of healthcare communication, decision support, and genetic counselling emerged as key factors influencing patients' perceptions and experiences, with direct implications for their quality of life and psychological well-being. The results suggest that these decisions considerably impact patients, both in terms of clinical outcomes and emotional experiences. DISCUSSION: The investigation highlights the vital importance of a personalized care approach, emphasizing the critical role of managing patients' emotional and psychological complexity. Managing decision regret requires acute attention to individual needs and effective communication to mitigate emotional impact and improve patient outcomes. CONCLUSIONS: Insights from a nursing perspective in the analysis of results indicate the need for informed, empathetic, and integrated care that considers the emotional complexity of women with BRCA1 and/or BRCA2 mutations in their lives and health choices.