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.

Pain is an interpersonal and inherently social experience. Pain perception and administration of medical treatment all occur in a particular environmental and social context. Early environmental influences and early learning experiences and interactions condition the body\'s response to different threats (like pain), ultimately shaping the underlying neurophysiology. These early interactions and experiences also determine what situations are perceived as threatening, as well as our belief in our own ability to self-manage, and our belief in others to offer support, during perceived threats. These beliefs intrinsically drive the combination of behaviors that emerge in response to perceived threats, including pain. Such behaviors can be categorized into attachment styles. In this interdisciplinary review, we synthesize and summarize evidence from the neurobiological, psychobiological, psychosocial, and psychobehavioral fields, to describe how these beliefs are embedded in the brain\'s prediction models to generate a series of expectations/perceptions around the level of safety/threat in different contexts. As such, these beliefs may predict how one experiences and responds to pain, with potentially significant implications for the development and management of chronic pain. Little attention has been directed to the effect of adult attachment style on pain in research studies and in the clinical setting. Using interdisciplinary evidence, we argue why we think this interaction merits further consideration and research. PERSPECTIVE: This review explores the influence of attachment styles on pain perception, suggesting a link between social connections and chronic pain development. It aligns with recent calls to emphasize the social context in pain research and advocates for increased focus on adult attachment styles in research and clinical practice.

OBJECTIVE: Explore the mediating effect of serenity in the relationships between attachment styles and death anxiety among older adults DESIGN: A descriptive correlational research design following Strengthening Reporting of Observational Studies in Epidemiology guidelines.
METHODS: Data were collected from 250 older adults attending three clubs.
METHODS: Arabic Scale of Death Anxiety, Brief Serenity Scale, and Revised Adult Attachment Scale were used to collect data.
RESULTS: Most participants exhibited high levels of serenity, with varying degrees of attachment styles and death anxiety. Correlation analysis indicates significant negative associations between death anxiety and serenity, as well as attachment styles. Secure attachment styles were positively correlated with serenity and negatively with death anxiety. Path analysis revealed that serenity partially mediated the relationship between attachment styles and death anxiety.
CONCLUSIONS: Fostering secure attachments and promoting serenity to mitigate death anxiety in older adults, enhancing later-life psychological well-being through informed interventions.

The COVID-19 pandemic led many couples to stay at home together with minimal contact with others. As social distancing measures reduced contact with outside households, many partners could seek support only from one another. In two studies using a sequential mixed methods design, we investigated support-seeking behaviors in romantic relationships during COVID-19. In the qualitative study, semi-structured interviews (n = 48) showed differences in how and why partners seek support with an initial consideration of the role of attachment. We identified the following themes: direct support-seeking, indirect support-seeking, (in)dependence, and gender dynamics. In the quantitative study (n = 588), high COVID-19 worry, high attachment anxiety, and low attachment avoidance were associated with more support-seeking. Interestingly, we also found that when COVID-19 worry was high, individuals high in attachment avoidance were more likely to report seeking support. The paper provides a unique insight into the impact of COVID-19 on support-seeking behaviors in romantic relationships.

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.

Partner preferences are an important differential in relationship formation and evolutionary fitness, and vary according to individual, ecological, and social factors. In this study, we evaluated the variation in preference for intelligence, kindness, physical attractiveness, health, and socioeconomic level among individuals of different sexes and sexual orientations in a Brazilian sample. We analyzed the preference scores of 778 heterosexual, bisexual, and homosexual men and women in three budgeted mate design tasks (low vs. medium vs. high budget) and their association with sociosexuality, attachment styles, homogamy, and willingness to engage in short- and long-term relationships. Results indicated a global trait preference order, with intelligence ranking first, followed by kindness, physical attractiveness, health, and lastly by socioeconomic status. Typical sex differences were observed mostly within the heterosexual group, and specific combinations of sex and sexual orientation were linked to variation in preference for physical attractiveness, kindness, and socioeconomic status. We also found unique associations of the other variables with partner preferences and with willingness to engage in short- or long-term relationships. By exploring the partner preferences of non-heterosexual individuals from a Latin American country, an underrepresented group in evolutionary psychology research, our results help understand the universal and specific factors that guide partner preferences and human sexual behavior.

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.