UNASSIGNED: This study aims to examine the impact of spousal support on postpartum depression in women with different attachment styles and assessing if attachment style influences this effect.
UNASSIGNED: From March to May 2022, 96 couples with late-stage pregnant women were randomly selected from tertiary maternity hospitals in Shandong and Guangdong provinces for a prepartum survey. Psychological assessments were conducted using the Adult Attachment Scale, Dyadic Coping Inventory, and the Patient Health Questionnaire-9 (PHQ-9) Depression Scale. To examine the relationship between each variable and postpartum depression, univariate and multiple logistic regression analyses were employed. Additionally, interaction analysis was used to analyze the interplay between different attachment styles and how spousal support influences women\'s postpartum depression.
UNASSIGNED: The findings revealed that even after accounting for confounding variables, prepartum spousal support was an independent predictor of postpartum depression (adjusted odds ratio (OR) = 0.82, 95% CI: 0.69-0.96, P = .015). Women with a secure attachment style showed a significantly lower incidence of postpartum depression compared to those with insecure attachment styles (24.2% vs. 46%, P = .037). In the secure attachment group, spousal support had a protective effect against postpartum depression (adjusted OR = 0.57, 95% CI: 0.36-0.91, P = .018), and attachment style emerged as a potential interactive factor influencing the impact of spousal support on postpartum depression (P for interaction = .029).
UNASSIGNED: The provision of spousal support, especially to individuals with secure attachment styles, plays a preventive role in postpartum depression. This underscores the importance of considering attachment styles in interventions targeting postpartum depression prevention.

BACKGROUND: Empathy with the patient is one of the important factors in nursing care. This study aims to investigate the mediating role of self-compassion in the relationship between attachment styles and empathy in nurses.
METHODS: This correlational study was conducted using structural equation modeling (SEM) method. The statistical population included nurses working at public hospitals in Yazd City, Iran. A total of 308 nurses were selected by convenience sampling method. The data were collected using self-compassion scale, adult attachment styles scale, Jefferson scale of empathy and analyzed using structural equation analysis in AMOS software.
RESULTS: Secure and anxious/ambivalent insecure attachment styles were positively and negatively correlated with empathy, respectively (p < .01). The path coefficient between avoidant and anxious/ambivalent insecure attachment styles and self-compassion was negative. On the contrary, the path coefficient between secure attachment style and self-compassion was positive. There was a positive correlation between self-compassion and empathy. The indirect path coefficient of secure and anxious/ambivalent insecure attachment styles to empathy through self-compassion. was significant (p < .01).
CONCLUSIONS: The results showed secure and anxious/ambivalent insecure attachment could directly and indirectly through influencing self-compassion predict empathy in nurses.

BACKGROUND: Emotion regulation, the process by which individuals manage and modify their emotional experiences, expressions, and responses to adaptively navigate and cope with various situations, plays a crucial role in daily life. Our study investigates the variations in emotion regulation strategies among individuals with different attachment styles (AS). Specifically, we examine how individuals with secure, anxious, avoidant, and fearful attachment styles effectively utilize cognitive reappraisal and expressive suppression to regulate their emotions.
METHODS: A total of n = 98 adults were instructed to attend, reappraise, or suppress their emotions while viewing negative and neutral images from the International Affective Picture System (IAPS) in an experimental emotion regulation task. After completing the task, participants rated the valence and arousal elicited by the images. Attachment styles were measured using the ECR-12 questionnaire and then categorized into four AS.
RESULTS: Our study revealed that individuals with secure AS (n = 39) effectively reduced displeasure through cognitive reappraisal but experienced levels of displeasure with expressive suppression. Anxious AS (n = 16) individuals successfully reduced displeasure using cognitive reappraisal but struggled to regulate arousal and effectively use expressive suppression. Avoidant AS (n = 24) individuals could reduce displeasure with both strategies but experienced high arousal during suppression attempts. Fearful AS (n = 19) individuals effectively regulated both displeasure and arousal using either strategy. However, Secure AS individuals showed superior reappraisal efficacy, significantly reducing arousal levels compared to the Fearful AS group. Both Secure and Avoidant AS groups experienced higher valence during reappraisal relative to a baseline, indicating a decrease in displeasure.
CONCLUSIONS: Individuals with different AS exhibit variations in the effectiveness of their use of emotion regulation strategies. Our findings reinforce the significance of AS in shaping emotion regulation processes and emphasize the need for tailored approaches to support individuals with different attachment orientations.

Violence in intimate partner relationships among young adults has become a global health problem given its prevalence and its negative effects on physical and psychological well-being. The severity of the problem has given rise to a large body of research that has attempted to find the variables associated with victimization in young couples (for example, attachment style, emotional regulation skills or empathy, among others). Moreover, traditionally, many of these investigations have only considered the point of view of female victims within a gender violence approach. However, in recent times, more and more evidence of the existence of mutual violence in young relationships has been found. These findings, combined with simplistic explanations of the phenomenon, have proven to be insufficient to prevent it. In this context, the main objective of this study was to investigate how some variables linked to dating violence interact with each other, modifying the mutual violence young people suffer and exercise. Considering this, different instruments were administered (the Experience in Close Relationships Scale (ECR-R); Difficulties in Emotional Regulation Scale (DERS-E); Basic Empathy Scale (BES); and Multidimensional Couple Violence Scale (EMVN)) to a sample of 557 young Chileans. The analysis of the results, based on the construction of a moderated mediation model, reveals that difficulties in emotional regulation are a predictor of violence in intimate partner relationships, whose direct and indirect effects on the violence exercised can be moderated by that partner\'s attachment style. The findings also reveal that there is no association between empathy and violence, and they highlight that both men and women are victims and aggressors at the same time. This demonstrate the need to consider prevention and intervention strategies aimed at both sexes, since intimate partner violence is mutual and reciprocal.

OBJECTIVE: Gestational diabetes (GDM) is a prevalent complication in pregnancy that requires effective self-management, which can be influenced by illness perceptions. Moreover, behavioral regulation can be affected by attachment styles. Thus, our study aimed to identify common GDM perception profiles and test their association with attachment styles.
METHODS: In this cross-sectional study, 446 women completed the Relationship Questionnaire (RQ), the Brief Illness Perception Questionnaire (BIPQ), and additional items about GDM diagnosis, information, competence, adherence, behavioral change. Latent profile analysis (LPA) was conducted to determine GDM perception profiles. Multinomial logistic regression followed to calculate the association between GDM perception profiles and attachment styles.
RESULTS: Three distinct profiles emerged: coping (n = 172, 38.6%)-characterized by the most positive GDM perception, burdened (n = 222, 49.8%)-indicating the emotional burden of the disease, and resourceless (n = 52, 11.7%)-reporting lack of resources (i.e. information, competence). Women with insecure attachment styles were more likely to develop a burdened GDM perception profile. Specifically, the expression of a fearful (OR = 1.184 [95%CI: 1.03; 1.36], p = 0.016) and a preoccupied (OR = 1.154 [95%CI: 1.01; 1.32], p = 0.037) attachment style increased the likelihood for a burdened perception profile, while a secure attachment style (OR = 10.791 [95%CI: 0.65; 0.96], p = 0.017) decreased likelihood for developing resourceless GDM perception profile.
CONCLUSIONS: Three GDM perception profiles were identified and the role of attachment styles in shaping these perceptions was confirmed. Further studies are needed to investigate whether a tailored treatment approach based on the predominant attachment style could lead to more positive GDM perceptions, improved glycemic control, and better perinatal outcomes.

Predicting attachment styles using AI algorithms remains relatively unexplored in scientific literature. This study addresses this gap by employing EEG data to evaluate the effectiveness of ROCKET-driven features versus classic features, both analyzed using the XGBoost machine learning algorithm, for classifying \'secure\' or \'insecure\' attachment styles.Participants, fourth-year engineering students aged 20-35, first completed the ECR-R questionnaire. A subset then underwent EEG sessions while performing the Arrow Flanker Task, receiving success or failure feedback for each trial.Our findings reveal the effectiveness of both feature sets. The dataset with ROCKET-derived features demonstrated an 88.41% True Positive Rate (TPR) in classifying \'insecure\' attachment styles, compared to the classic features dataset, which achieved a notable TPR as well. Visual representations further support ROCKET-derived features\' proficiency in identifying insecure attachment tendencies, while the classic features exhibited limitations in classification accuracy. Although the ROCKET-derived features exhibited higher TPR, the classic features also presented a substantial predictive ability.In conclusion, this study advances the integration of AI in psychological assessments, emphasizing the significance of feature selection for specific datasets and applications. While both feature sets effectively classified EEG-based attachment styles, the ROCKET-derived features demonstrated a superior performance across multiple metrics, making them the preferred choice for this study.

UNASSIGNED: Attachment styles are crucial in human relationships and have been explored through neurophysiological responses and EEG data analysis. This study investigates the potential of EEG data in predicting and differentiating secure and insecure attachment styles, contributing to the understanding of the neural basis of interpersonal dynamics.
UNASSIGNED: We engaged 27 participants in our study, employing an XGBoost classifier to analyze EEG data across various feature domains, including time-domain, complexity-based, and frequency-based attributes.
UNASSIGNED: The study found significant differences in the precision of attachment style prediction: a high precision rate of 96.18% for predicting insecure attachment, and a lower precision of 55.34% for secure attachment. Balanced accuracy metrics indicated an overall model accuracy of approximately 84.14%, taking into account dataset imbalances.
UNASSIGNED: These results highlight the challenges in using EEG patterns for attachment style prediction due to the complex nature of attachment insecurities. Individuals with heightened perceived insecurity predominantly aligned with the insecure attachment category, suggesting a link to their increased emotional reactivity and sensitivity to social cues. The study underscores the importance of time-domain features in prediction accuracy, followed by complexity-based features, while noting the lesser impact of frequency-based features. Our findings advance the understanding of the neural correlates of attachment and pave the way for future research, including expanding demographic diversity and integrating multimodal data to refine predictive models.

UNASSIGNED: Marital infidelity is a highly distressing experience for those involved. Understanding the psychological factors related to infidelity can help develop targeted interventions. The primary aim of this study was to assess the association between attachment styles and marital infidelity.
UNASSIGNED: Seventeen studies were included, sourced from electronic databases including PubMed, Scopus, Web of Science, and PsycInfo, with no time limitations, up to April 2023. The search employed terms like \"attachment AND marital infidelity.\" Study quality was evaluated using the Risk of Bias Assessment Tool from RevMan version 5.3.
UNASSIGNED: The meta-analysis involved a total of 13,666 participants, ranging from 208 to 4047 individuals. Findings showed that higher levels of anxiety and avoidance in attachment were significantly associated with increased marital infidelity (r = 0.18, 95 % CI = 0.14-0.22, p < 0.0001). Conversely, weaker attachment insecurity was linked to reduced rates of marital infidelity. Additionally, both dismissive and fearful attachment styles correlated with marital infidelity, with respective weighted effect sizes of r = 0.07, p < 0.001 (95 % CI = 0.04-0.10) and r = 0.19, p < 0.001 (95 % CI = 0.10-0.29). No association was found between preoccupied attachment and infidelity.
UNASSIGNED: Individuals with insecure attachment styles, specifically those with high levels of anxiety or avoidance, are more likely to engage in marital infidelity. Attachment styles should be a focus in couples therapy, especially for treatment related to infidelity. Assessing and addressing these underlying attachment issues can better guide therapists in their work with couples facing infidelity.

Background: Civil wars in Libya have impacted the mental health of the general population. The ways in which individuals cope with traumatic events are influenced by several psychological variables.Objectives: The present study aimed to investigate how post-traumatic stress symptoms (PTSS) are associated with psychological symptoms and post-traumatic growth (PTG), and to evaluate the role of avoidant and anxious attachment dimensions as mediators in these associations, among Libyan citizens.Method: Three-hundred participants (147 females; age 31.0 ± 8.4 years) completed the Impact of Event Scale - Revised, Experiences in Close Relationships, Patient Health Questionnaire, and Post-traumatic Growth Inventory - Short Form.Results: The structural equation model revealed that insecure attachment dimensions mediated the association between PTSS and psychological symptoms and PTG. PTSS were positively associated with psychological symptoms, PTG, and both insecure attachment dimensions. Insecure attachment dimensions were positively associated with psychological symptoms and negatively with PTG.Conclusion: The present findings contribute to growing empirical research on the roles of insecure attachment dimensions in the association between the impact of war, psychological symptoms, and PTG.
Insecure attachment dimensions mediated the association between the impact of war and psychological symptoms, as well as posttraumatic growth, among Libyan citizens.Higher psychological symptoms were negatively correlated with posttraumatic growth.Psychological interventions should consider insecure attachment dimensions, when evaluating the consequences of prolonged and repeated wars.

UNASSIGNED: Trust is essential for establishing stable and fulfilling romantic relationships between partners. Development of trust, however, can be assumed to depend on many factors related to an individual\'s earlier experiences and relationship-related beliefs. This study aimed to investigate how adult attachment style (anxious, avoidant), experiences about parents\' divorce and breakdown of one\'s own romantic relationship, and relationship beliefs are related to the level of dyadic trust in romantic relationships.
UNASSIGNED: The present study included 131 Turkish undergraduate university students (55.7% women) from different faculties. The research instrument had questions about parents\' and respondents\' own relationship status, Dyadic Trust Scale (DTS), Experiences in Close Relationships Inventory-Revised (ECR-R), and Inventory of Close Relationship Beliefs (ICRB), in addition to background questions. The data were analyzed using descriptive statistics, t-tests, Pearson correlations, regression analyses and mediation analyses.
UNASSIGNED: Respondents whose parents had divorced or who had experienced a relationship breakdown had lower dyadic trust scores than those without these experiences. The trust scores correlated negatively with anxious and avoidant attachment styles and positively with relationship belief scales, although the correlations to \"external factors\" were not statistically significant. In regression analysis, anxious and avoidant attachment styles explained 42% and relationship beliefs 25% of the variance in trust. The only significant predictor among beliefs was \"individuality.\" Mediation analysis showed that the effects of anxious attachment style on trust were fully mediated by the relationship belief in \"individuality.\" The avoidant attachment style had a direct relationship to trust.
UNASSIGNED: The results show that anxious attachment style influences trust via relationship beliefs, while avoidant attachment style has a strong direct effect on trust as well as weaker effects via beliefs. The results are discussed in the context of Turkish culture and horizontal collectivism.