Pressure to not feel bad among (different-sex) romantic partners: prevalence, and correlates.

Western society generally highly values happiness. As a result, people sometimes experience pressure not to feel negative emotions. In this study, we comprehensively investigated this pressure, and how it manifests itself, in adult romantic relationships. Specifically, we first examined when, how often and how intensely people experience pressure not to feel bad from their romantic partners (94 different-sex couples). Additionally, we investigated (both between- and within-person) how this pressure is related to context (presence of, contact and or conflict with a partner), emotional processes (i.e. experienced sadness and anxiety, emotion suppression, and how their partner perceived their affect), and relationship well-being. Using experience sampling methodology data (6/14 reports per day over one week) we found that although participants generally did not experience strong pressure from their partner, they experienced some feelings of pressure about 50% of the time. Furthermore, within-person predictors associated with negative processes/emotions (i.e. negative emotions, conflict, emotion suppression) were related to the momentary frequency (odds) and/or intensity of perceived pressure not to feel bad. At the between-person level, individuals who experience more sadness, anxiety and reported suppressing their emotions more often tended to experience more and/or stronger pressure. Only weak associations with relationship well-being were found.

Perceived responsiveness in suicidal ideation: An experience sampling study in psychiatric patients.

INTRODUCTION: Perceived responsiveness, or the extent to which one feels understood, validated and cared for by close others, plays a crucial role in people's well-being. Can this interpersonal process also protect people at risk? We assessed whether fluctuations in suicidal ideation were associated with fluctuations in the degree of perceived responsiveness that psychiatric patients (admitted in the context of suicide or indicating suicidal ideation) experienced in daily interactions immediately after discharge. METHODS: Fifty-seven patients reported on suicidal ideation (5 times a day) and perceived responsiveness (daily) for four consecutive weeks. The effects of established risk factors-thwarted belongingness, perceived burdensomeness, and hopelessness-were assessed as well. RESULTS: The more patients felt that close others had been responsive to them, the less suicidal ideation they reported. At low levels of thwarted belongingness, perceived burdensomeness, or hopelessness, perceived responsiveness seemed to play a protective role, negatively co-occurring with suicidal ideation. When thwarted belongingness, perceived burdensomeness, and hopelessness were high, perceived responsiveness did not have an effect. CONCLUSION: Perceived responsiveness could be a protective factor for suicidal ideation for people at risk only when they are experiencing low levels of negative perceptions. When experiencing highly negative perceptions, however, perceived responsiveness seems to matter less.

The dynamics of interpersonal emotion regulation: How sharers elicit desired (but not necessarily helpful) support.

When in distress, people often seek help in regulating their emotions by sharing them with others. Paradoxically, although people perceive such social sharing as beneficial, it often fails to promote emotional recovery. This may be explained by people seeking-and eliciting-emotional support, which offers only momentary relief. We hypothesized that (1) the type of support sharers seek shapes corresponding support provided by listeners, (2) the intensity of sharers' emotions increases their desire for emotional support and decreases their desire for cognitive support, and (3) listeners' empathic accuracy promotes support provision that matches sharers' desires. In 8-min interactions, participants (N = 208; data collected in 2016-2017) were randomly assigned to the role of sharer (asked to discuss an upsetting situation) or listener (instructed to respond naturally). Next, participants watched their video-recorded interaction in 20-s fragments. Sharers rated their emotional intensity and support desires, and listeners rated the sharer's emotional intensity and their own support provision. First, we found that the desire for support predicted corresponding support provision. Second, the intensity of sharers' emotions was associated with an increased desire for emotional and cognitive support. Third, the more accurately listeners judged sharers' emotional intensity, the more they fulfilled sharers' emotional (but not cognitive) support desire. These findings suggest that people have partial control over the success of their social sharing in bringing about effective interpersonal emotion regulation. People elicit the support they desire at that moment, explaining why they perceive sharing as beneficial even though it may not engender emotional recovery. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Relational needs frustration: an observational study on the role of negative (dis)engaging emotions.

The present study aimed to explore the role of partners' negative engaging and disengaging emotions in dealing with the frustration of autonomy and relatedness needs during conflict. In an observational study, partners from 141 heterosexual couples participated in a conflict interaction task followed by a video-mediated recall procedure during which they reported their level of relational need frustration and their emotions experienced at different moments during the interaction. Results showed that in partners, more autonomy frustration, experienced at the beginning of the conflict, was accompanied by more concurrent negative disengaging emotions (anger, irritation), whereas more relatedness frustration was accompanied by more negative engaging emotions (hurt, sadness, disappointment). Additionally, the concurrent association between partners' relatedness frustration and their experience of negative engaging emotions was negatively moderated by their own relatedness relationship beliefs (as assessed by background questionnaires), indicating that for individuals who considered relatedness to be less important, relatedness frustration and negative engaging emotions were more strongly linked than for people with high relatedness beliefs. Finally, negative engaging emotions - assessed at the beginning of the conflict - were associated with more relatedness frustration at a subsequent time point in the interaction in men, but not in women. This study contributes to our understanding of how partners' negative emotions and the frustration of important relational needs are intertwined.

Emotion dynamic patterns between intimate relationship partners predict their separation two years later: A machine learning approach.

Contemporary emotion theories predict that how partners' emotions are coupled together across an interaction can inform on how well the relationship functions. However, few studies have compared how individual (i.e., mean, variability) and dyadic aspects of emotions (i.e., coupling) during interactions predict future relationship separation. In this exploratory study, we utilized machine learning methods to evaluate whether emotions during a positive and a negative interaction from 101 couples (N = 202 participants) predict relationship stability two years later (17 breakups). Although the negative interaction was not predictive, the positive was: Intra-individual variability of emotions as well as the coupling between partners' emotions predicted relationship separation. The present findings demonstrate that utilizing machine learning methods enables us to improve our theoretical understanding of complex patterns.

Motivation and empathic accuracy during conflict interactions in couples: it's complicated!

The aim of this study was to broadly investigate the role of relationship-, self-, and partner-serving motivation in empathic accuracy in couples' conflict interactions. To this end, a laboratory study was set up in which couples (n = 172) participated in a conflict interaction task, followed immediately by a video-review task during which they reported their own feelings and thoughts and inferred those of their partner to assess empathic accuracy. We used both trait and state measures of relationship-, self-, and partner-serving motivation, and we experimentally induced these three categories of motivation. Relationship-serving state motivation predicted greater empathic accuracy. In contrast, experimentally induced partner-serving motivation resulted in less empathic accuracy for men. Self-serving motivation was not found to be associated with empathic accuracy, nor were any of the trait measures. These findings underscore the complexity of the association between motivation and empathic accuracy in partners' conflict interactions. Supplementary Information: The online version contains supplementary material available at 10.1007/s11031-022-09982-x.

Intimate Relationships in Times of COVID-19: A Descriptive Study of Belgian Partners and their Perceived Well-Being.

How did couples in Belgium cope during the early phases of the COVID-19 pandemic? In this study, grounded in relationship science, we investigated in a descriptive manner several factors that could affect how couples perceived individual and relational wellbeing during this time. Specifically, we examined the associations between gender, sexual orientation, parental status, and relationship duration on participants' self-reported individual and relational well-being after the first lockdown (more generally and more specific in response to COVID-19). Additionally, we investigated if relational well-being predicted perceived change in individual well-being from pre- to post-COVID-19 regulations. To test these hypotheses, self-report data was collected during the Summer of 2020 in both the Dutch and French speaking part of Belgium. Data from 679 participants suggested that individual and relational well-being only differed based on parental status (and not by gender nor sexual orientation). Importantly, parents reported lower relational well-being than participants without children, while participants without children reported higher perceived increases in depression. People that had been in a relationship for longer also reported lower relational well-being, but this relationship was explained by other confounding factors. Relational well-being buffered increases in individual distress that people perceived to have occurred pre-COVID-19 regulations to after COVID-19 regulations went into effect. These findings might inform practice and policy for individuals in a romantic relationship during the COVID-19 pandemic.

Expressing thoughts and feelings leads to greater empathic accuracy during relationship conflict.

Many couple therapies focus on enhancing the disclosure of thoughts and feelings, and on an accurate understanding of these. But does the expression of thoughts and feelings lead to better empathic accuracy, as is generally assumed? In this study, we explicitly tested a dynamic expression-leading-to-accuracy account of empathic accuracy in intimate relationships. Specifically, in the conflict interactions of 155 mixed-sex couples, we investigated (a) whether greater momentary expressions of the target (self-reported vs. observed) were associated with more empathic accuracy in the perceiver; (b) whether this outcome was similar for the expression of thoughts versus feelings; and (c) whether the expression-leading-to-accuracy link was moderated by the perceived threat level of these thoughts and feelings. The data revealed that greater (self-reported and observed) expression of the target's thoughts and feelings was associated with better empathic accuracy by the partner; that this association was similar for thoughts and feelings; and that this link was not moderated by the perceived threat level of these thoughts and feelings. These findings confirm a fundamental assumption of couples therapy and have important implications for therapeutic interventions. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

SIMON: A Digital Protocol to Monitor and Predict Suicidal Ideation.

Each year, more than 800,000 persons die by suicide, making it a leading cause of death worldwide. Recent innovations in information and communication technology may offer new opportunities in suicide prevention in individuals, hereby potentially reducing this number. In our project, we design digital indices based on both self-reports and passive mobile sensing and test their ability to predict suicidal ideation, a major predictor for suicide, and psychiatric hospital readmission in high-risk individuals: psychiatric patients after discharge who were admitted in the context of suicidal ideation or a suicidal attempt, or expressed suicidal ideations during their intake. Specifically, two smartphone applications -one for self-reports (SIMON-SELF) and one for passive mobile sensing (SIMON-SENSE)- are installed on participants' smartphones. SIMON-SELF uses a text-based chatbot, called Simon, to guide participants along the study protocol and to ask participants questions about suicidal ideation and relevant other psychological variables five times a day. These self-report data are collected for four consecutive weeks after study participants are discharged from the hospital. SIMON-SENSE collects behavioral variables -such as physical activity, location, and social connectedness- parallel to the first application. We aim to include 100 patients over 12 months to test whether (1) implementation of the digital protocol in such a high-risk population is feasible, and (2) if suicidal ideation and psychiatric hospital readmission can be predicted using a combination of psychological indices and passive sensor information. To this end, a predictive algorithm for suicidal ideation and psychiatric hospital readmission using various learning algorithms (e.g., random forest and support vector machines) and multilevel models will be constructed. Data collected on the basis of psychological theory and digital phenotyping may, in the future and based on our results, help reach vulnerable individuals early and provide links to just-in-time and cost-effective interventions or establish prompt mental health service contact. The current effort may thus lead to saving lives and significantly reduce economic impact by decreasing inpatient treatment and days lost to inability.

Validation of Visual and Auditory Digital Markers of Suicidality in Acutely Suicidal Psychiatric Inpatients: Proof-of-Concept Study.

BACKGROUND: Multiple symptoms of suicide risk have been assessed based on visual and auditory information, including flattened affect, reduced movement, and slowed speech. Objective quantification of such symptomatology from novel data sources can increase the sensitivity, scalability, and timeliness of suicide risk assessment. OBJECTIVE: We aimed to examine measurements extracted from video interviews using open-source deep learning algorithms to quantify facial, vocal, and movement behaviors in relation to suicide risk severity in recently admitted patients following a suicide attempt. METHODS: We utilized video to quantify facial, vocal, and movement markers associated with mood, emotion, and motor functioning from a structured clinical conversation in 20 patients admitted to a psychiatric hospital following a suicide risk attempt. Measures were calculated using open-source deep learning algorithms for processing facial expressivity, head movement, and vocal characteristics. Derived digital measures of flattened affect, reduced movement, and slowed speech were compared to suicide risk with the Beck Scale for Suicide Ideation controlling for age and sex, using multiple linear regression. RESULTS: Suicide severity was associated with multiple visual and auditory markers, including speech prevalence (ß=-0.68, P=.02, r2=0.40), overall expressivity (ß=-0.46, P=.10, r2=0.27), and head movement measured as head pitch variability (ß=-1.24, P=.006, r2=0.48) and head yaw variability (ß=-0.54, P=.06, r2=0.32). CONCLUSIONS: Digital measurements of facial affect, movement, and speech prevalence demonstrated strong effect sizes and linear associations with the severity of suicidal ideation.

Siblings Dealing with Pediatric Cancer: A Family- and Context-oriented Approach.

Background: Pediatric cancer is a severe life-threatening disease that poses significant challenges to the life of the siblings. Based on the social ecology model, the current study is aimed at exploring the association between intrafamilial (family functioning, family support) and contextual (network support) resources, and the individual adjustment of siblings facing cancer in their brother/sister. Methods: Participants were 81 siblings of children with leukemia or non-Hodgkin lymphoma. The mean siblings' age was 10.32 years. Siblings completed the Family Environment Scale, the Social Support Questionnaire for Children, the Situation-Specific Emotional Reactions Questionnaire, and the Pediatric Quality of Life Inventory. Data were analyzed using a multi-level approach. Results: Family functioning, family support, and network support proved to be related to siblings' cancer-related emotional reactions post-diagnosis. In addition, the present study suggests taking into account the gender of the ill child and the age of the siblings. Discussion: Our findings led to the conclusion that resources at both the intrafamilial level and the contextual level are important for explaining sibling adjustment post-diagnosis. Interventions targeting the sibling, the family, and the external network are warranted to enhance sibling adjustment.

What can be learned from couple research: Examining emotional co-regulation processes in face-to-face interactions.

A crucial component of successful counseling and psychotherapy is the dyadic emotion co-regulation process between patient and therapist that unfolds moment to moment during therapy sessions. The major reason for the disappointing progress in understanding this process is the lack of appropriate methods to assess subjectively experienced emotions continuously during therapy sessions without disturbing the natural flow of the interaction. The resulting inability has forced the field to focus on patients' overall emotion ratings at the end of each session with limited predictive value of the dyadic interplay between patient and therapist's emotional states within each session. The current tutorial demonstrates how couple research-confronted with a comparable problem-has overcome this issue by (i) developing a video-based retrospective self-report assessment method for individuals' continuous state emotions without undermining the dyadic interaction and (ii) using a validated statistical tool to analyze the dynamical process during a dyadic interaction. We show how to assess emotion data continuously, and how to unravel self-regulation and co-regulation processes using a Latent Differential Equation Modeling approach. Finally, we discuss how this approach can be applied in counseling psychology and psychotherapy to test basic theoretical assumptions about the co-creation of emotions despite the conceptual differences between couple dyads and therapist-patient dyads. The present method aims to inspire future research activities examining systematic real-time processes between patients and therapists. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The occurrence and correlates of emotional interdependence in romantic relationships.

Interdependence, including emotional interdependence, is widely considered to be a cornerstone of close relationships. Through frequent interactions, romantic partners are thought to continuously exchange, influence, and respond to one another's emotions, leading their feelings to become closely aligned over time. Although prior research has shown that such emotional interdependence can arise in couples, no research to date has comprehensively investigated its occurrence, degree, consistency and correlates. Across 3 different studies, we examined whether and to what extent couples indeed show interpersonal emotional connections (compared to pseudocouples). Additionally, we investigated its consistency and moderating factors, by examining emotional interdependence across different types of emotions (negative vs. positive vs. emotional extremity), timescales (second-to-second vs. daily life), and situational contexts (supportive vs. conflictual), and by inspecting associations with indicators of relationship closeness (relationship longevity, cohabitation status, commitment, and closeness in terms of including the other in the self). The findings show limited evidence for emotional interdependence. The overall mean level of interdependence was significantly larger than that of randomly composed couples, but only a minority of the couples demonstrated emotional interdependence to a greater extent than these pseudocouples. Moreover, the degree to which couples exhibited emotional interdependence showed little consistency across timescales and contexts, and was not clearly associated with relationship closeness. We discuss potential implications for the field of interpersonal emotion dynamics. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Complex affect dynamics add limited information to the prediction of psychological well-being.

Over the years, many studies have demonstrated a relation between emotion dynamics and psychological well-being1. Because our emotional life is inherently time-dynamic2-6, affective scientists argue that, next to how positive or negative we feel on average, patterns of emotional change are informative for mental health7-10. This growing interest initiated a surge in new affect dynamic measures, each claiming to capture a unique dynamical aspect of our emotional life, crucial for understanding well-being. Although this accumulation suggests scientific progress, researchers have not always evaluated (a) how different affect dynamic measures empirically interrelate and (b) what their added value is in the prediction of psychological well-being. Here, we address these questions by analysing affective time series data from 15 studies (n = 1,777). We show that (a) considerable interdependencies between measures exist, suggesting that single dynamics often do not convey unique information, and (b) dynamic measures have little added value over mean levels of positive and negative affect (and variance in these affective states) when predicting individual differences in three indicators of well-being (life satisfaction, depressive symptoms and borderline symptoms). Our findings indicate that conventional emotion research is currently unable to demonstrate independent relations between affect dynamics and psychological well-being.

Emotion differentiation dissected: between-category, within-category, and integral emotion differentiation, and their relation to well-being.

Emotion differentiation, the ability to describe and label our own emotions in a differentiated and specific manner, has been repeatedly associated with well-being. However, it is unclear exactly what type of differentiation is most strongly related to well-being: the ability to make fine-grained distinctions between emotions that are relatively closely related (e.g. anger and irritation), the ability to make larger distinctions between very distinct emotions (e.g. anger and sadness), or the combination of both. To determine which type of differentiation is most predictive of well-being, we performed a comprehensive meta-analysis across six datasets. We examined the correlations between these three types of differentiation and several indicators of well-being (depression, emotional clarity, and self-esteem). Results showed that individuals differentiated most between very distinct emotions and least between more related emotions, and that an index computed across emotions from both the same and different emotion categories was most strongly associated with well-being indicators.

Partner-expected affect: How you feel now is predicted by how your partner thought you felt before.

Romantic partners can modulate each other's emotions in many ways, resulting in interwoven emotional lives. Here, building on findings from basic psychological research, we propose a novel way of such interconnectedness, termed partner-expected affect, in which perceptions of a partner's feelings may positively predict how this partner will actually feel at a later moment in time. We evaluated this hypothesis by means of an experience sampling study in which 100 romantic partners (50 couples) reported on the level of valence and arousal of their own feelings and of the perceived feelings of their partners 10 times a day throughout a week. In line with expectations, we found that how individuals were feeling at a particular moment was positively predicted by how their partner thought they felt at the previous moment (on top of how they felt at the previous moment and how their partner felt at the previous moment), at least when they had interacted with each other in between. This finding identifies a novel potential way in which people may shape each other's feelings and paves the way to further examine the nature and boundary conditions of such partner-expected affect. (PsycINFO Database Record

Emotional Interdependence and Well-Being in Close Relationships.

Emotional interdependence-here defined as partners' emotions being linked to each other across time-is often considered a key characteristic of healthy romantic relationships. But is this actually the case? We conducted an experience-sampling study with 50 couples indicating their feelings 10 times a day for 7 days and modeled emotional interdependence for each couple separately taking a dyadographic approach. The majority of couples (64%) did not demonstrate strong signs of emotional interdependence, and couples that did, showed great inter-dyad differences in their specific patterns. Individuals from emotionally more interdependent couples reported higher individual well-being than individuals from more independent couples in terms of life satisfaction but not depression. Relational well-being was not (relationship satisfaction) or even negatively (empathic concern) related to the degree of emotional interdependence. Especially driving the emotions of the partner (i.e., sender effects) accounted for these associations, opposed to following the emotions of the partner (i.e., receiver effects). Additionally, assessing emotional interdependence for positive and negative emotions separately elucidated that primarily emotional interdependence for positive emotions predicted more self-reported life satisfaction and less empathic concern. These findings highlight the existence of large inter-dyad differences, explore relationships between emotional interdependence and key well-being variables, and demonstrate differential correlates for sending and receiving emotions.