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

How do "words poorly expressed emotion" affect mental health? The mediating role of affect labelling effect

Previous studies have found that people with high negative emotional granularity(NEG) tend to have better health levels. It is generally believed that this is due to the selection and application of explicit emotion regulation strategies that affect mental health. However, no research has yet examined a more fundamental process, the role of affect labelling, an implicit emotion regulation strategy. This study focuses on the aforementioned issues and uses the experience sampling method to categorise participants into groups with high and low NEG. Using an affect labelling paradigm with ERP(event-related potential) technology, the study measures the effects of affect labelling in participants. Furthermore, it assesses the mental health levels of the participants through questionnaires to explore whether the affect labelling effect serves as a mediator between NEG and mental health. The results show that: (1) The high-NEG group exhibited significantly lower LPP wave amplitudes under affect labelling compared to under non-affect labelling, whereas the low-NEG group did not show significant differences. The results indicate that only the high-NEG group can produce the affect labelling effect. (2) The affect labelling effect mediates the relationship between NEG and mental health, meaning that NEG predicts mental health through the affect labelling effect.

Exploring Within-Person Variability in Qualitative Negative and Positive Emotional Granularity by Means of Latent Markov Factor Analysis

Emotional granularity (EG) is an individual's ability to describe their emotional experiences in a nuanced and specific way. In this paper, we propose that researchers adopt latent Markov factor analysis (LMFA) to investigate within-person variability in qualitative EG (i.e., variability in distinct granularity patterns between specific emotions across time). LMFA clusters measurement occasions into latent states according to state-specific measurement models. We argue that state-specific measurement models of repeatedly assessed emotion items can provide information about qualitative EG at a given point in time. Applying LMFA to the area of EG for negative and positive emotions separately by using data from an experience sampling study with 11,662 measurement occasions across 139 participants, we found three latent EG states for the negative emotions and three for the positive emotions. Momentary stress significantly predicted transitions between the EG states for both the negative and positive emotions. We further identified two and three latent classes of individuals who differed in state trajectories for negative and positive emotions, respectively. Neuroticism and dispositional mood regulation predicted latent class membership for negative (but not for positive) emotions. We conclude that LMFA may enrich EG research by enabling more fine-grained insights into variability in qualitative EG patterns.

Cross-cultural differences in self-reported and behavioural emotional self-awareness between Japan and the UK

OBJECTIVE

How we express and describe emotion is shaped by sociocultural norms. These sociocultural norms may also affect emotional self-awareness, i.e., how we identify and make sense of our own emotions. Previous studies have found lower emotional self-awareness in East Asian compared to Western samples using self-report measures. However, studies using behavioural methods did not provide clear evidence of reduced emotional self-awareness in East Asian groups. This may be due to different measurement tools capturing different facets of emotional self-awareness.

RESULTS

To investigate this issue further, we compared the emotional self-awareness of Japanese (n = 29) and United Kingdom (UK) (n = 43) adults using the self-report Toronto Alexithymia Scale (TAS-20), alongside two behavioural measures - the Emotional Consistency Task (EC-Task) and the Photo Emotion Differentiation Task (PED-Task). Japanese adults showed higher TAS-20 scores than UK participants, indicating greater self-reported difficulties with emotional self-awareness. Japanese participants also had lower EC-Task scores than UK adults, indicating a lower ability to differentiate between levels of emotional intensity. PED-Task performance did not show clear group differences. These findings suggest that cross-cultural differences in emotional self-awareness vary with the task used, because different tasks assess distinct aspects of this ability. Future research should attempt to capture these different aspects of emotional self-awareness.

A differentiated look at emotions: association between gaze behaviour during the processing of affective videos and emotional granularity

The ability to distinguish between subtle differences among emotions of similar valence is labelled emotion differentiation (ED). Previous research has demonstrated that people high in ED are less likely to use disengagement regulation strategies (i.e. avoidance/distraction) during negative affective states.The present eye-tracking study examined associations between ED and visual attention/avoidance of affective stimuli. A total of 160 participants viewed emotional video clips (positive/ negative), which were concurrently presented with a non-affective distractor image. After each video, participants verbally described their experienced emotions with adjectives in an open-response format. Moreover, they completed an ED questionnaire.The computed ED specificity index for the negative videos (the number of specific adjectives divided by all adjectives used) was positively associated with the scores on the ED questionnaire and visual revisits for the negative videos (how many times the participants gazed back and forth between video and distractor). This viewing style might reflect more active exploratory behaviour directed toward acquiring information about the negative stimulus and its context. The ED measures were not associated with the gaze behaviour for positive videos.

Examining the Role of Emotion Differentiation on Emotion and Cardiovascular Physiological Activity During Acute Stress

Emotion differentiation (ED) - the tendency to experience one's emotions with specificity - is a well-established predictor of adaptive responses to daily life stress. Yet, there is little research testing the role of ED in self-reported and physiological responses to an acute stressor. In the current study, we investigate the effects of negative emotion differentiation (NED) and positive emotion differentiation (PED) on participants' self-reported emotions and cardiac-mediated sympathetic nervous system reactivity (i.e., pre-ejection period) in response to a stressful task. Healthy young adults enrolled in a two-session study. At an initial session, participants completed a modified experience sampling procedure (i.e., the Day Reconstruction Method). At session 2, 195 completed the Trier Social Stress Test while cardiac impedance was acquired throughout. Linear regressions demonstrated that higher NED, but not PED, was associated with experiencing less intense self-reported negative, high arousal emotions (e.g., irritated, panicky) during the stressor (β =  - .15, p < .05) although people with higher NED also exhibited greater sympathetic reactivity (β = .16, p < .05). In exploratory analyses, we tested whether the effect of NED on self-reported stress was mediated by the tendency to make internally focus (or self-focused) attributions about performance on the task but did not find a significant indirect effect (p = .085). These results both complement prior work and provide a more complex picture of the role of NED in adaptive responses to stressful life events, suggesting that people with higher NED may experience their emotions as more manageable regardless of their level of physiological arousal.

Supplementary Information

The online version contains supplementary material available at 10.1007/s42761-023-00189-y.

Negative emotion differentiation and white matter microstructure

BACKGROUND

Deficits in the differentiation of negative emotions - the ability to specifically identify one's negative emotions - are associated with poorer mental health outcomes. However, the processes that lead to individual differences in negative emotion differentiation are not well understood, hampering our understanding of why this process is related to poor mental health outcomes. Given that disruptions in some affective processes are associated with white matter microstructure, identifying the circuitry associated with different affective processes can inform our understanding of how disturbances in these networks may lead to psychopathology. Thus, examination of how white matter microstructure relates to individual differences in negative emotion differentiation (NED) may provide insights into (i) its component processes and (ii) its relationship to brain structure.

METHOD

The relationship between white matter microstructure and NED was examined.

RESULTS

NED was related to white matter microstructure in right anterior thalamic radiation and inferior fronto-occipital fasciculus and left peri-genual cingulum.

LIMITATIONS

Although participants self-reported psychiatric diagnoses and previous psychological treatment, psychopathology was not directly targeted, and thus, the extent to which microstructure related to NED could be examined in relation to maladaptive outcomes is limited.

CONCLUSIONS

Results indicate that NED is related to white matter microstructure and suggest that pathways subserving processes that facilitate memory, semantics, and affective experience are important for NED. Our findings provide insights into the mechanisms by which individual differences in NED arise, suggesting intervention targets that may disrupt the relationship between poor differentiation and psychopathology.

The Moral Injury Experience Wheel: An Instrument for Identifying Moral Emotions and Conceptualizing the Mechanisms of Moral Injury

This paper introduces an infographic tool called The Moral Injury Experience Wheel, designed to help users accurately label moral emotions and conceptualize the mechanisms of moral injury (MI). Feeling wheels have been used by therapists and clinical chaplains to increase emotional literacy since the 1980s. The literature on the skill of emotion differentiation shows a causal relationship between identifying emotions with specificity and emotional and behavioral regulation. Emerging research in moral psychology indicates that differentiating moral emotions with precision is related to similar regulatory effects. Based on this evidence, it is proposed that increasing moral emotional awareness through use of an instrument that visually depicts moral emotions and their causal links to MI will enhance appraisal and flexible thinking skills recognized to reduce the persistent dissonance and maladaptive coping related to MI. Design of the wheel is empirically grounded in MI definitional and scale studies. Iterative evaluative feedback from Veterans with features of MI offers initial qualitative evidence of validity. Two case studies will show utility of the wheel in clinical settings and present preliminary evidence of efficacy.

Sad, Sadder, Saddest: Recognition of Sad and Happy Emotional Intensity, Adverse Childhood Experiences and Depressive Symptoms in Preschoolers

Adverse childhood experiences (ACES) have repeatedly been associated with depression. The ability to differentiate emotional intensity is a protective factor for psychopathology and in the context of life stressors, poor negative emotion differentiation (ED) is associated with depressive symptoms. However, little is known about whether the ability to recognize negative emotional intensity, a theorized developmental prerequisite of ED, influences the relationship between ACES and depressive symptoms in early childhood. The current study examined the interactive effects of ACES, the ability to recognize emotional intensity and depressive symptoms in 249 preschoolers enriched for depression. Findings demonstrated that when experiencing ACES, sad (not happy) emotion recognition was associated with elevated depressive symptoms. Specifically, when facing multiple ACEs, preschoolers with poor and moderate ability to recognize sad emotional intensity exhibited elevated depressive symptoms. Findings demonstrate that when experiencing elevated ACES, sad emotion recognition may be a protective factor for depression in early childhood.

Operationalizing undifferentiated affect: Validity and utility in clinical samples

Emotion differentiation is conceptualized as the process of categorizing one's general affective experiences into discrete emotions. The experience of undifferentiated affect or the inability to distinguish the particular emotion or combination of emotions that one is experiencing is often considered a hallmark of emotion dysregulation. Some past research has attempted to operationalize the general tendency to experience undifferentiated affect at the trait level using explicit questionnaire measures. More recently, indirect measures using intraclass correlation coefficients (ICCs) to estimate the consistency between simultaneous measures of different in-the-moment emotional experiences have become the favored method of quantifying undifferentiated affect. While the ICC method constitutes an advancement in estimating undifferentiated affect, which is theorized to be a dynamic process that occurs at a very granular level, prior investigations have used aggregate ICC measures or momentary ICC derivations that ignore multiple sources of dynamic variability to make inferences about in-the-moment experiences. We introduce a new, flexible method of calculating ICC measures of undifferentiated affect at different levels of experience that takes full advantage of time-intensive data measurement and more closely maps onto the theorized process. This method provides more refined estimates of undifferentiated affect and its associations with various behavioral outcomes, as well as uncovers more nuanced associations regarding the temporal process of emotional differentiation. It also elucidates potential conceptual issues in mapping empirical estimates of emotion undifferentiation onto their underlying theoretical interpretations.

Furthering the language hypothesis of alexithymia: An integrated review and meta-analysis

Alexithymia, including the inability to identify and express one's own feelings, is a subclinical condition responsible for some of the socioemotional symptoms seen across a range of psychiatric conditions. The language hypothesis of alexithymia posits a language-mediated disruption in the development of discrete emotion concepts from ambiguous affective states, exacerbating the risk of developing alexithymia in language-impaired individuals. To provide a critical evaluation, a systematic review and meta-analysis of 29 empirical studies of language functioning in alexithymia was performed. A modest association was found between alexithymia and multi-domain language deficits (r = -0.14), including structural language, pragmatics, and propensity to use emotional language. A more theoretically-relevant subsample analysis comparing alexithymia levels in language-impaired and typical individuals revealed larger effects, but a limited number of studies adopted this approach. A synthesis of 11 emotional granularity studies also found an association between alexithymia and reduced emotional granularity (r = -0.10). Language impairments seem to increase the risk of alexithymia. Heterogeneous samples and methods suggest the need for studies with improved alexithymia assessments.

The Association of Daily Stressors and Daily Emotions to Daily Optimism

Abstract. Daily life events often trigger and co-occur with various emotional reactions, which activate self-regulatory processes. One possible outcome of self-regulatory processes is optimism. Limited research has examined optimism in daily life and potential daily predictors, including stressors, negative emotions, and positive emotions. Emotion differentiation – the ability to identify and label discrete emotional states – has the potential to change the association between daily predictors and optimism. The current study contextualized optimism in the emotion-laden daily life and examined the association of daily stressors and daily negative and positive emotional states to daily optimism and the role of negative and positive emotion regulation on these relationships. The current study adopted a daily diary design and collected self-reported daily responses from a sample of 248 college students over a 7-day study period. The results included concurrent and lagged effects and showed that daily negative affect and positive affect predicted both concurrent daily optimism and the next day’s optimism. Greater negative emotion differentiation predicted higher daily optimism. A better ability to differentiate positive emotions predicted a stronger relation between positive affect and daily optimism. The findings underscored the importance of daily affect and emotion differentiation being important markers for optimism interventions and daily practices.

Emotion differentiation in early recovery from alcohol use disorder: Associations with in-the-moment affect and 3-month drinking outcomes

Background

Early recovery from alcohol use disorder (AUD) is commonly associated with high levels of negative affect, stress, and emotional vulnerability, which confer significant relapse risk. Emotion differentiation—the ability to distinguish between discrete emotions—has been shown to predict relapse after treatment for a drug use disorder, but this relationship has not been explored in individuals recovering from AUD.

Methods

The current study used thrice daily random and up to thrice daily self‐initiated ecological momentary assessment surveys (N = 42, observations = 915) to examine whether 1) moments of high affective arousal are characterized by momentary differences in emotion differentiation among individuals in the first year of a current AUD recovery attempt, and 2) individuals’ average emotion differentiation would predict subsequent alcohol use measured by the timeline follow‐back over a 3‐month follow‐up period.

Results

Multilevel models showed that moments (Level 1) of higher‐than‐average negative affect (p < 0.001) and/or stress (p = 0.033) were characterized by less negative emotion differentiation, while moments of higher‐than‐average positive affect were characterized by greater positive emotion differentiation (p < 0.001). At the between‐person level (Level 2), participants with higher stress overall had lower negative emotion differentiation (p = 0.009). Linear regression showed that average negative, but not positive, emotion differentiation was inversely associated with percent drinking days over the subsequent 3‐month follow‐up period (p = 0.042). Neither form of average emotion differentiation was associated with drinking quantity.

Conclusions

We found that for individuals in early AUD recovery, affective states are associated with acute shifts in the capacity for emotion differentiation. Further, we found that average negative emotion differentiation prospectively predicts subsequent alcohol use.

Emotion regulation patterns: Capturing variability and flexibility in emotion regulation in an experience sampling study

Variability and flexibility in emotion regulation (ER) are considered important ingredients in adaptive ER. Few attempts at operationalizing variability and flexibility in ER have been made. In two 10‐day experience sampling studies (N = 51 and 39), healthy participants rated their momentary emotions and their ER efforts in response to those emotions. We evaluated the association between ER (i.e., between and within ER strategy variability and ER flexibility, operationalized as putatively adaptive, putatively maladaptive and total strategies) and measures of well‐being (psychological distress, satisfaction with life) in general (person‐level) and in everyday life (day‐level). Higher within‐variability indicated that a strategy was used more at some occasions and less at others. Higher between‐variability indicated variation in the extent to which different strategies were engaged at the same time point. Overall, results were mixed, but in some instances, indicators of ER variability and ER flexibility were related to each other and measures of well‐being differently. Total within ER variability was negatively associated with well‐being at the person and day level. Putatively adaptive between and within ER variability were associated with less well‐being at the person level. At the day level, putatively adaptive and maladaptive between ER variability and maladaptive within ER variability were negatively associated with well‐being. Putatively adaptive ER flexibility was negatively associated with satisfaction with life. This study adds to the literature on indicators of variability and flexibility in ER and their potential adaptiveness. The results indicate that variability in ER could be a maladaptive property, but more research is needed to understand this in terms of putatively adaptive and maladaptive strategies. Future studies on the adaptiveness of these indicators should obtain more contextual information.

A robust multivariate structure of interindividual covariation between psychosocial characteristics and arousal responses to visual narratives

People experience the same event but do not feel the same way. Such individual differences in emotion response are believed to be far greater than those in any other mental functions. Thus, to understand what makes people individuals, it is important to identify the systematic structures of individual differences in emotion response and elucidate how such structures relate to what aspects of psychological characteristics. Reflecting this importance, many studies have attempted to relate emotions to psychological characteristics such as personality traits, psychosocial states, and pathological symptoms across individuals. However, systematic and global structures that govern the across-individual covariation between the domain of emotion responses and that of psychological characteristics have been rarely explored previously, which limits our understanding of the relationship between individual differences in emotion response and psychological characteristics. To overcome this limitation, we acquired high-dimensional data sets in both emotion-response (8 measures) and psychological-characteristic (68 measures) domains from the same pool of individuals (86 undergraduate or graduate students) and carried out the canonical correlation analysis in conjunction with the principal component analysis on those data sets. For each participant, the emotion-response measures were quantified by regressing affective-rating responses to visual narrative stimuli onto the across-participant average responses to those stimuli, while the psychological-characteristic measures were acquired from 19 different psychometric questionnaires grounded in personality, psychosocial-factor, and clinical-problem taxonomies. We found a single robust mode of population covariation, particularly between the ’accuracy’ and ’sensitivity’ measures of arousal responses in the emotion domain and many ‘psychosocial’ measures in the psychological-characteristics domain. This mode of covariation suggests that individuals characterized with positive social assets tend to show polarized arousal responses to life events.

Synergy of Effectuation and Causation: An Emotional Complexity Perspective

This study enriches the literature on entrepreneurial decisions by investigating the antecedents of the synergetic use of causal and effectual logic. Based on entrepreneurial metacognition and emotional complexity theories, we argued that the emotional complexity of an entrepreneur, referred to as the granular experience of, or variety in, experienced emotions during the entrepreneurial task, would contribute to the synergetic use of decision logic. With survey data gathered from 218 Chinese entrepreneurs, we found that entrepreneurs with higher emotional complexity are more likely to adopt two types of entrepreneurial logic in tandem, and cognitive flexibility mediates this positive relationship. Thereby, this study helps to unravel some of the complexities behind the choice of decision logic of entrepreneurs.

Meta-Analysis of the Associations Among Constructs of Intrapersonal Emotion Knowledge

To better define the boundaries of conceptually overlapping constructs of intrapersonal emotion knowledge (EK), we examined meta-analytic correlations among five intrapersonal EK-related constructs (affect labelling, alexithymia, emotional awareness, emotional clarity, emotion differentiation) and attention to emotion. Affect labelling, alexithymia, and emotional clarity were strongly associated, and they were moderately associated with attention to emotion. Alexithymia and emotional awareness were weakly associated, and emotion differentiation was unrelated with emotional clarity. Sample characteristics and measures moderated some of the associations. Publication bias was not found, except for the alexithymia-emotional awareness association. This study helped to clarify the extent to which similarly defined constructs overlap or are distinct, which can inform our decision to adequately label important constructs and employ corresponding measures.

Affective lability and social functioning in severe mental disorders

Social functioning is impaired in severe mental disorders despite clinical remission, illustrating the need to identify other mechanisms that hinder psychosocial recovery. Affective lability is elevated and associated with an increased clinical burden in psychosis spectrum disorders. We aimed to investigate putative associations between affective lability and social functioning in 293 participants with severe mental disorders (schizophrenia- and bipolar spectrum), and if such an association was independent of well-established predictors of social impairments. The Affective Lability Scale (ALS-SF) was used to measure affective lability covering the dimensions of anxiety-depression, depression-elation and anger. The interpersonal domain of the Social Functioning Scale (SFS) was used to measure social functioning. Correlation analyses were conducted to investigate associations between affective lability and social functioning, followed by a hierarchical multiple regression and follow-up analyses in diagnostic subgroups. Features related to premorbid and clinical characteristics were entered as independent variables together with the ALS-SF scores. We found that higher scores on all ALS-SF subdimensions were significantly associated with lower social functioning (p < 0.005) in the total sample. For the anxiety-depression dimension of the ALS-SF, this association persisted after controlling for potential confounders such as premorbid social functioning, duration of untreated illness and current symptoms (p = 0.019). Our results indicate that elevated affective lability may have a negative impact on social functioning in severe mental disorders, which warrants further investigation. Clinically, it might be fruitful to target affective lability in severe mental disorders to improve psychosocial outcomes.

Similar brains blend emotion in similar ways: Neural representations of individual difference in emotion profiles

Our daily emotional experience is a complex construct that usually involves multiple emotions blended in a context-dependent manner. However, the co-occurring and context-dependent nature of human emotions was understated in previous studies when addressing the individual difference in emotional experiences. The present study proposed a situated and blended 'profile' perspective to characterize individualized emotional experiences. Eighty participants watched a series of emotional videos with their EEG recorded, and the individual differences in their emotion profiles were measured as the vector distances between their multidimensional emotion ratings for these video stimuli. This measure was found to be a reliable descriptor of individualized emotional experiences and could efficiently predict classical emotional complexity indices. More importantly, inter-subject representational analyses revealed that similar emotion profiles were associated with similar delta-band activities over the prefrontal and temporo-parietal regions and similar theta-band activities over the frontal regions. Furthermore, left- and right-lateralized temporo-parietal representations were observed for positive and negative emotion profiles, respectively. Our findings demonstrate the potential of taking a 'profile' perspective for understanding individual differences in human emotions.

Cultivating Emotional Granularity

An emerging focus in affective science is the expertise that underlies healthy emotionality. A growing literature highlights emotional granularity - the ability to make fine-grained distinctions in one's affective feelings - as an important skill. Cross-sectional evidence indicating the benefits of emotional granularity raises the question of how emotional granularity might be intentionally cultivated through training. To address this question, we present shared theoretical features of centuries-old Buddhist philosophy and modern constructionist theory that motivate the hypothesis that contemplative practices may improve granularity. We then examine the specific mindfulness-style practices originating in Buddhist traditions that are hypothesized to bolster granularity. We conclude with future directions to empirically test whether emotional granularity can be intentionally cultivated.

The Role of Interoceptive Sensibility and Emotional Conceptualization for the Experience of Emotions

The theory of constructed emotions suggests that different psychological components, including core affect (mental and neural representations of bodily changes), and conceptualization (meaning-making based on prior experiences and semantic knowledge), are involved in the formation of emotions. However, little is known about their role in experiencing emotions. In the current study, we investigated how individual differences in interoceptive sensibility and emotional conceptualization (as potential correlates of these components) interact to moderate three important aspects of emotional experiences: emotional intensity (strength of emotion felt), arousal (degree of activation), and granularity (ability to differentiate emotions with precision). To this end, participants completed a series of questionnaires assessing interoceptive sensibility and emotional conceptualization and underwent two emotion experience tasks, which included standardized material (emotion differentiation task; ED task) and self-experienced episodes (day reconstruction method; DRM). Correlational analysis showed that individual differences in interoceptive sensibility and emotional conceptualization were related to each other. Principal Component Analysis (PCA) revealed two independent factors that were referred to as sensibility and monitoring. The Sensibility factor, interpreted as beliefs about the accuracy of an individual in detecting internal physiological and emotional states, predicted higher granularity for negative words. The Monitoring factor, interpreted as the tendency to focus on the internal states of an individual, was negatively related to emotional granularity and intensity. Additionally, Sensibility scores were more strongly associated with greater well-being and adaptability measures than Monitoring scores. Our results indicate that independent processes underlying individual differences in interoceptive sensibility and emotional conceptualization contribute to emotion experiencing.

Self-Control Dynamics in Daily Life: The Importance of Variability Between Self-Regulatory Strategies and Strategy Differentiation

Research on self-control has increasingly acknowledged the importance of self-regulatory strategies, with strategies in earlier stages of the developing tempting impulse thought to be more effective than strategies in later stages. However, recent research on emotion regulation has moved away from assuming that some strategies are per se and across situations more adaptive than others. Instead, strategy use that is variable to fit situational demands is considered more adaptive. In the present research, we transfer this dynamic process perspective to self-regulatory strategies in the context of persistence conflicts. We investigated eight indicators of strategy use (i.e., strategy intensity, instability, inertia, predictability, differentiation, diversity, and within- and between-strategy variability) in an experience sampling study ( N = 264 participants with 1,923 observations). We found that variability between strategies was significantly associated with self-regulatory success above and beyond mean levels of self-regulatory strategy use. Moreover, the association between trait self-control on one hand and everyday self-regulatory success and affective well-being on the other hand was partially mediated by between-strategy variability. Our results do not only show the benefits of variable strategy use for individual’s self-regulatory success but also the benefits of more strongly connecting the fields of emotion regulation and self-control research.

Levels of Emotional Awareness: Theory and Measurement of a Socio-Emotional Skill

Emotional awareness is the ability to conceptualize and describe one's own emotions and those of others. Over thirty years ago, a cognitive-developmental theory of emotional awareness patterned after Piaget's theory of cognitive development was created as well as a performance measure of this ability called the Levels of Emotional Awareness Scale (LEAS). Since then, a large number of studies have been completed in healthy volunteers and clinical populations including those with mental health or systemic medical disorders. Along the way, there have also been further refinements and adaptations of the LEAS such as the creation of a digital version in addition to further advances in the theory itself. This review aims to provide a comprehensive summary of the evolving theoretical background, measurement methods, and empirical findings with the LEAS. The LEAS is a reliable and valid measure of emotional awareness. Evidence suggests that emotional awareness facilitates better emotion self-regulation, better ability to navigate complex social situations and enjoy relationships, and better physical and mental health. This is a relatively new but promising area of research in the domain of socio-emotional skills. The paper concludes with some recommendations for future research.

Emotion Differentiation and Youth Mental Health: Current Understanding and Open Questions

A growing body of research identifies emotion differentiation-the ability to specifically identify one's emotions-as a key skill for well-being. High emotion differentiation is associated with healthier and more effective regulation of one's emotions, and low emotion differentiation has been documented in several forms of psychopathology. However, the lion's share of this research has focused on adult samples, even though approximately 50% of mental disorders onset before age 18. This review curates what we know about the development of emotion differentiation and its implications for youth mental health. I first review published studies investigating how emotion differentiation develops across childhood and adolescence, as well as studies testing relations between emotion differentiation and mental health in youth samples. Emerging evidence suggests that emotion differentiation actually falls across childhood and adolescence, a counterintuitive pattern that merits further investigation. Additionally, several studies find relations between emotion differentiation and youth mental health, but some instability in results emerged. I then identify open questions that limit our current understanding of emotion differentiation, including (i) lack of clarity as to the valid measurement of emotion differentiation, (ii) potential third variables that could explain relations between emotion differentiation and mental-health (e.g., mean negative affect, IQ, personality, and circularity with outcomes), and (iii) lack of clear mechanistic models regarding the development of emotion differentiation and how it facilitates well-being. I conclude with a discussion of future directions that can address open questions and work toward interventions that treat (or even prevent) psychopathology.

High emotion differentiation buffers against internalizing symptoms following exposure to stressful life events in adolescence: An intensive longitudinal study

Exposure to stressful life events is strongly associated with internalizing psychopathology, and identifying factors that reduce vulnerability to stress-related internalizing problems is critical for development of early interventions. Drawing on research from affective science, we tested whether high emotion differentiation-the ability to specifically identify one's feelings-buffers adolescents from developing internalizing symptoms when exposed to stress. Thirty adolescents completed a laboratory measure of emotion differentiation before an intensive year-long longitudinal study in which exposure to stress and internalizing problems were assessed at both the moment-level (n=4,921 experience sampling assessments) and monthly-level (n=355 monthly assessments). High negative and positive emotion differentiation attenuated moment-level coupling between perceived stress and feelings of depression, and high negative emotion differentiation eliminated monthly-level associations between stressful life events and anxiety symptoms. These results suggest that high emotion differentiation buffers adolescents against anxiety and depression in the face of stress, perhaps by facilitating adaptive emotion regulation.

Momentary Emotion Differentiation: The Derivation and Validation of an index to Study Within-Person Fluctuations in Emotion Differentiation

Emotion differentiation refers to the tendency to label emotions in a granular way. While differentiation is an important individual difference in the context of psychological well-being, it is unknown how it fluctuates within individuals. Such a within-person measure is important, since it would allow the study of how changes in differentiation predict subsequent levels of other variables of interest. Here, we present a framework to study emotion differentiation at the within-person level by introducing a momentary emotion differentiation index. This index is directly derived from the classical emotion differentiation index, the intraclass correlation. We first give a theoretical derivation of this index. Next, using data from two experience sampling studies, we show how this new momentary index is related to other momentary indicators of well-being, and take the first steps in building its nomological network. A better understanding of within-person fluctuations in emotion differentiation will allow us to identify the causes and consequences of these fluctuations, and search for ways to teach individuals to increase their level of emotion differentiation.

Shame's Associations with Depression and Problem Drinking: An Ecological Momentary Study

INTRODUCTION

Depression and problem drinking are comorbid in emerging adulthood, yet the processes that link them are not well understood. Research has argued that shame has a unique influence on the experience of problematic drinking, but this has rarely been assessed at the state level. Using ecological momentary assessments (EMAs), we assessed whether shame, and not guilt, mediated the association between baseline depression and alcohol use and problems.

METHODS

One hundred and eighty-four emerging adults (M_age= 19.27) completed a 12-day EMA study. Multilevel models were used to test hypotheses.

RESULTS

In a model with alcohol use as the outcome, there were no significant associations between shame or guilt and alcohol use at the within- or between-subjects level. In a model with alcohol problems as the outcome, guilt was positively associated with alcohol problems but only at the daily level. At the between-subjects level and after controlling for guilt, there was a significant association between depression, shame, and alcohol problems; average levels of shame mediated the association between depression and alcohol problems. In post-hoc reverse directionality models, average alcohol problems mediated the relationship between depression and shame and guilt at the between-person level. No mediation was present for alcohol use.

CONCLUSION

After controlling for guilt, shame is an emotion that helps explain risk for alcohol problems among depressed emerging adults, which has implications for targeted interventions. Reciprocal associations between shame, guilt, and alcohol problems emerged highlighting the need for more fulsome assessments of shame and guilt in future EMA research.

Individual Differences in Negative Emotion Differentiation Predict Resting-State Spontaneous Emotional Regulatory Processes

Negative emotion differentiation facilitates emotion regulation. However, whether individual differences in negative emotion differentiation is associated with resting-state spontaneous emotion regulation remains unclear. This study aimed to explore the effect of individual differences in negative emotion differentiation on spontaneous emotional regulatory processes as indexed by resting electroencephalogram (EEG) indicators (e.g., frontal alpha asymmetry and theta/beta ratio). Participants (n = 40, M_age = 21.74 years, 62% women) completed a negative emotion differentiation task. Afterward, 4 min of resting EEG data were recorded. Multiple regression results showed that negative emotion differentiation significantly predicted the alpha asymmetry at electrode pairs (F4–F3 and FP2–FP1) and the theta/beta ratio at the F3 and FZ electrode sites. Individuals with high negative emotion differentiation presented more left-lateralized activations and a lower theta/beta ratio. Taken together, these results suggest that individuals with high negative emotion differentiation show enhanced spontaneous emotional regulatory functioning. Thus, we provided the first resting-state neural evidence on emotion differentiation of spontaneous emotional regulatory functioning.

The perils of murky emotions: Emotion differentiation moderates the prospective relationship between naturalistic stress exposure and adolescent depression

Negative emotion differentiation (NED) refers to the ability to identify and label discrete negative emotions. Low NED has been previously linked to depression and other indices of low psychological well-being. However, this construct has rarely been explored during adolescence, a time of escalating depression risk, or examined in the context of naturalistic stressors. Further, the association between NED and depression has never been tested longitudinally. We propose a diathesis-stress model wherein low NED amplifies the association between stressful life events (SLEs) and depression. A sample of 233 community-recruited midadolescents (Mage 15.90 years, 54% female) completed diagnostic interviews and reported on mood and daily stressors 4 times per day for 7 days. SLEs were assessed using a semistructured interview with diagnosis-blind team coding based on the contextual threat method. Follow-up interviews were conducted 1.5 years after baseline. Low NED was correlated with depression but did not predict prospective changes in depression as a main effect. Confirming predictions and supporting a diathesis-stress model, low NED predicted (a) within-subjects associations between daily hassles and momentary depressed mood, (b) between-subjects associations between SLE severity and depression, and (c) prospective associations between SLE severity and increases in depression at follow-up. Results were specific to negative (vs. positive) emotion differentiation. Results suggest that low NED is primarily depressogenic in the context of high stress exposure. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Emotional Intelligence Relates to Emotions, Emotion Dynamics, and Emotion Complexity

Abstract. Emotional intelligence (EI) should relate to people’s emotional experiences. We meta-analytically summarize associations of felt affect with ability EI branches (perception, facilitation, understanding, and management) and total scores ( k = 7–14; N = 1,584–2,813). We then use experience sampling ( N = 122 undergraduates over 5 days, 24 beeps) to test whether EI predicts emotion dynamics and complexity. Meta-analyses show that EI correlates significantly with lower negative affect (NA; ρ = −.21) but not higher positive affect (PA; ρ = .05). PA (but not NA) shows a significantly stronger relationship with emotion management (ρ = .23) versus other EI branches (ρ = −.01 to .07). In the experience sampling study, only management significantly related to higher PA, whereas lower NA was significantly related to total EI, perception, facilitation, and management. After controlling for mean affect: (a) only understanding significantly predicted NA dynamics whereas only management and facilitation significantly predicted PA dynamics; (b) management and facilitation predicted lower PA differentiation (EI was unrelated to NA differentiation); and (c) perception and facilitation predicted greater bipolarity. Results show that EI predicts affect, emotion dynamics, and emotion complexity. We discuss the importance of distinguishing between different branches of ability EI.

Different Aspects of Emotional Awareness in Relation to Motor Cognition and Autism Traits

Emotion is inherently embodied, formulated through bodily sensation, as well as expressed and regulated through action. Both expressing one’s own emotions and understanding the emotional actions of others are common areas of difficulty in autism. Moreover, reduced emotional awareness is also thought to be problematic in autism, and such difficulties may be mediated by impaired motor cognition. We aimed to examine how intensity of emotional experience and ability to differentiate between one’s own emotions relates to motor empathy and autistic traits. We hypothesized that greater motor cognition would be associated with greater emotional intensity and more refined emotion differentiation. Participants from the general population (N = 160) completed the Actions and Feelings Questionnaire (AFQ), a self-report measure assessing motor cognition, alongside the Broad Autism Phenotype Questionnaire and an emotion elicitation task. Motor cognition was significantly associated with more intense emotional experiences but not with ability to differentiate between similar emotions. Autistic traits, particularly social aloofness, predicted less emotion differentiation and lower scores on the animation subscale of the AFQ. We suggest that whereas as intensity of experience may be dependent on sensorimotor representation of emotions, differentiation requires additional cognitive functions such as language understanding. A dissociation between awareness of intensity and differentiation may be critical for understanding emotional difficulties in autism.

A Systematic Review and Meta-Analysis of the Association Between Complexity of Emotion Experience and Behavioral Adaptation

This article systematically reviews studies investigating the effect of three operationalizations of complexity in emotion experience (i.e., differentiation, covariation, and variability) on situational behavioral adaptation (i.e., physiological, cognitive, and overt action responses), and quantifies the results with meta-analyses. Twenty-seven studies of emotion complexity were identified and divided into four categories: (a) trait and (b) state studies within clinical samples, and (c) trait and (d) state studies within nonclinical samples. Most studies investigated trait emotion differentiation, revealing negligible to small effects ( r range: .06 to .15). Only 4 studies in total assessed indicators of state emotion complexity. The theoretical assumptions behind the indicators of emotion complexity as well as the conceptualization of behavioral adaptiveness are critically discussed, and a number of future avenues for this type of research are proposed.

Depressive symptoms and deficits in stress-reactive negative, positive, and within-emotion-category differentiation: A daily diary study

OBJECTIVE

The present research aimed to better understand deficits in emotion differentiation that accompany depressive symptoms. Depressive symptoms have been associated with more undifferentiated negative emotion experiences-experiencing multiple negative emotions simultaneously. We extend previous research by asking: (a) Are depressive symptoms and negative and positive emotion differentiation related above and beyond emotion intensity? (b) Are deficits in negative emotion differentiation specific to distinct categories of negative emotions (sadness, guilt, anger, and anxiety)? and (c) Do age or gender predict emotion differentiation or its associations with depressive symptoms?

METHOD

In 220 community participants (59% female; 21-60 years), we assessed depressive symptoms using surveys and emotion differentiation using daily diary emotion ratings in response to daily stressful events.

RESULTS

Greater depressive symptoms were associated with lower negative, but not positive, emotion differentiation, above and beyond emotion intensity. Depressive symptoms were specifically related to lower differentiation among sadness-related emotions, and this sadness-specific deficit accounted for the deficit in negative emotion differentiation. Age and gender did not predict or moderate associations with emotion differentiation.

CONCLUSION

Depressive symptoms are associated with undifferentiated negative emotions above and beyond emotion intensity, and this association appears to be driven by undifferentiated sadness-related emotions, across gender and age.