Acting impulsively when "upset": Examining associations among negative urgency, undifferentiated negative affect, and impulsivity using momentary and experimental methods

INTRODUCTION

Negative urgency is a personality pathway toward impulsive behavior that increases risk for transdiagnostic psychopathology. Limited research supports the core tenant of urgency theory, that is, that individuals with high trait negative urgency act more impulsive when experiencing increased negative emotion. We hypothesized that it may not be negative emotion intensity, but difficulty in differentiating among negative emotions, that prompts impulsive behavior among individuals with elevated negative urgency.

METHODS

We tested this hypothesis in 200 undergraduates using both ecological momentary assessment (measured momentary undifferentiated negative affect and impulsivity) and experimental methods (manipulated emotion differentiation and measured behavioral impulsivity).

RESULTS

Momentary undifferentiated negative affect predicted impulsivity in the specific domains of work/school and exercise, but interactions between momentary undifferentiated negative affect and negative urgency were not supported. Manipulated emotion differentiation did not impact behavioral impulsivity regardless of negative urgency scores.

CONCLUSION

Inconsistent with theory, the impulsive behavior of individuals with negative urgency may not be conditional on elevated or undifferentiated negative affect.

The Double-Edged Sword of Social Sharing: Social Sharing Predicts Increased Emotion Differentiation When Rumination Is Low but Decreased Emotion Differentiation When Rumination Is High

Laypeople believe that sharing their emotional experiences with others will improve their understanding of those experiences, but no clear empirical evidence supports this belief. To address this gap, we used data from four daily life studies (N = 659; student and community samples) to explore the association between social sharing and subsequent emotion differentiation, which involves labeling emotions with a high degree of complexity. Contrary to our expectations, we found that social sharing of emotional experiences was linked to greater subsequent emotion differentiation on occasions when people ruminated less than usual about these experiences. In contrast, on occasions when people ruminated more than usual about their experiences, social sharing of these experiences was linked to lower emotion differentiation. These effects held when we controlled for levels of negative emotion. Our findings suggest that putting feelings into words through sharing may only enable emotional precision when that sharing occurs without dwelling or perseverating.

Effects of scaffolding emotion language use on emotion differentiation and psychological health: an experience-sampling study

Emotion differentiation (ED) - complexity in the mental representation and description of one's emotional experiences - is important for mental health. However, less is known whether ED can be enhanced in adults. We investigated if scaffolding emotion language use during affect labelling - initial provision of emotion word prompts (close-ended) followed by free response (open-ended) - impacts ED and psychological health. Utilising a crossover design, 92 college students completed questionnaires assessing psychological health at three time-points and ecological momentary assessment of emotions, affect valence and emotional self-efficacy for 14 days. Participants were randomised to the "scaffolding" group, where they reported emotions using the close-ended (7 days) followed by open-ended (7 days) approach, or the reverse sequence (control group). We extracted two ED indices: traditional intraclass correlation coefficient from close-ended reports and novel specificity index from open-ended reports. Primary analyses examined group differences across weeks while exploratory analyses examined moment-to-moment differences using multilevel modelling. Relative to controls, the scaffolding group demonstrated greater ED during open-ended emotion reporting of negative emotions and associated shifts in negative affect and emotional self-efficacy. There were no significant group differences in psychological symptoms. Results provide preliminary evidence that scaffolding may enhance ED and have implications for psychological intervention.

The association between negative emotion differentiation and emotion regulation flexibility in daily life

Emotion differentiation emphasises labelling emotional experiences in a precise and context-sensitive way. Negative emotion differentiation (NED) has been found to be associated with mental health, where emotion regulation (ER) may act as a pathway. The current study aims to explore the association between NED and flexible ER implementation in daily life. Specifically, we examined how NED was associated with two aspects of ER flexibility: contextual synchrony and temporal ER variability. 101 college students (54% female; Mage = 20.24 years) reported their momentary emotions via a 7-day experience sampling protocol, and the intraclass correlation coefficients were calculated to reflect NED. In 10-day daily diaries, they also reported information about the most negative event during the day (i.e. event type, event intensity and ER goal) and how they regulated their emotions. The results revealed that individuals with high NED showed higher levels of synchrony between change in ER use and change in event type and ER goal. In addition, NED was positively associated with both within- and between-strategy variability in ER use. The results demonstrated that the ability to differentiate between negative emotions was related to higher ER flexibility, which shed new light on understanding the role of emotion differentiation in well-being.

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.

Distinguishing Emotion Regulation Success in Daily Life From Maladaptive Regulation and Dysregulation

ACADEMIC ABSTRACT

This paper aims to motivate research on emotion regulation success in naturalistic settings. We define emotion regulation success as achieving one's emotion regulation goal and differentiate it from related concepts (i.e., maladaptive regulation and dysregulation). As goals vary across individuals and situations, it is insufficient to conceptualize emotion regulation success as maximizing positive affect and minimizing negative affect. Instead, emotion regulation success can be measured through novel approaches targeting the achievement of emotion regulation goals. In addition to utilizing novel data analytic tools (e.g., response surface analyses), future research can make use of informant reports and observing ambulatory behavior or physiology. Considering emotion regulation goals when measuring daily emotion regulation success has the potential to answer key questions about personality, development, and mental health.

PUBLIC ABSTRACT

People differ in how they want to feel in daily situations (e.g., excited) and why they want to feel that way (e.g., to make others feel better), depending on factors such as culture or age. Although people manage their emotions to reach these goals, most research assessing emotion regulation success has not taken individual goals into account. When assessing if people successfully regulate their emotions, most research in daily life has been focused on whether people feel more positive or less negative. To help study emotion regulation success in a more thoughtful and inclusive way, we propose a new approach to conceptualizing emotion regulation success that incorporates individual differences in what motivates people to regulate and discuss future research directions and applications.

Face and context integration in emotion inference is limited and variable across categories and individuals

The ability to make nuanced inferences about other people's emotional states is central to social functioning. While emotion inferences can be sensitive to both facial movements and the situational context that they occur in, relatively little is understood about when these two sources of information are integrated across emotion categories and individuals. In a series of studies, we use one archival and five empirical datasets to demonstrate that people could be integrating, but that emotion inferences are just as well (and sometimes better) captured by knowledge of the situation alone, while isolated facial cues are insufficient. Further, people integrate facial cues more for categories for which they most frequently encounter facial expressions in everyday life (e.g., happiness). People are also moderately stable over time in their reliance on situational cues and integration of cues and those who reliably utilize situation cues more also have better situated emotion knowledge. These findings underscore the importance of studying variability in reliance on and integration of cues.

The roles of negative affect and emotion differentiation in the experience of 'feeling fat' among undergraduate students: An ecological momentary assessment study

'Feeling fat' is the somatic experience of being overweight not fully explained by objective body mass. According to the body displacement hypothesis, 'feeling fat' occurs when diffuse negative emotions are projected onto the body in lieu of adaptive emotion regulation. Emotion differentiation, the ability to experience and label discrete emotions, is an important skill for adaptively addressing emotion that may reduce 'feeling fat.' We hypothesized that individuals with better negative emotion differentiation would be less likely to report 'feeling fat' when experiencing high negative emotion. We collected ecological momentary assessment data from 198 undergraduate students (52.24% female). Multilevel modeling revealed that both within-person increases in negative emotions and the tendency to experience greater negative emotion were associated with greater 'feeling fat.' Of the specific types of negative emotion, guilt and sadness predicted 'feeling fat.' Contrary to hypotheses, individuals with better emotion differentiation were more likely to report 'feeling fat' after experiencing elevated negative affect. These findings contradict the primary clinical conceptualization of 'feeling fat,' suggesting that factors beyond displacement of negative emotions onto the body may be responsible for 'feeling fat'. Results in a sample with pronounced shape/weight concern may better support the traditional clinical understanding of 'feeling fat.'

Emotion differentiation among individuals in a randomized clinical trial for alcohol use disorder: Within- and between-person associations with affect, craving, and alcohol use in daily life

Emotion differentiation refers to cognitively distinguishing among discrete, same-valenced emotions. Negative emotion differentiation (NED) is a transdiagnostic indicator of emotional functioning. The role of positive emotion differentiation (PED) in clinical disorders, including alcohol use disorder (AUD), is less understood. Further, despite consensus that emotions are highly variable, little is known about within-person fluctuations in NED/PED. The current study leveraged 84 consecutive daily smartphone surveys from participants (N = 181) in a clinical trial of cognitive behavioral therapy for AUD to investigate whether between-person differences in overall NED/PED, or within-person variability in daily NED/PED, were associated with affect intensity, craving, drinking, and heavy drinking in daily life. Subsequent analyses explored whether associations were moderated by baseline alexithymia. At the between-persons level, greater average PED, but not NED, was associated with lower heavy drinking odds. At the within-persons level, higher-than-usual PED was associated with lower negative affect and odds of any drinking. Individuals with baseline alexithymia had stronger negative within-person associations between daily NED and both any and heavy drinking. PED is a skill linked to less alcohol use between- and within-persons irrespective of baseline alexithymia, whereas greater daily NED appears especially important for reduced alcohol use among individuals with co-morbid AUD and alexithymia.

The more emotional words you know, the higher your mental health

Previous studies have associated emotional granularity, the degree to which emotions can be recognized, with mental health comprehensively; however, they have found its measurement method to be burdensome. Therefore, this study considered emotional vocabulary, which is theoretically associated with mental health, to examine this relationship. A web-based survey was conducted among 397 Japanese subjects to examine the relationship between emotional vocabulary size and emotional granularity, and an exploratory analysis was also performed to examine the relationship between emotional vocabulary size and mental health. The results showed a significant positive correlation between emotional vocabulary size and emotional granularity. Furthermore, significant correlations were found between emotional vocabulary size and mental health. These results suggest that emotional vocabulary can influence mental health. The relationship between emotional vocabulary size and mental health and issues for future studies were also discussed.

Higher emotional granularity relates to greater inferior frontal cortex cortical thickness in healthy, older adults

Individuals with high emotional granularity make fine-grained distinctions between their emotional experiences. To have greater emotional granularity, one must acquire rich conceptual knowledge of emotions and use this knowledge in a controlled and nuanced way. In the brain, the neural correlates of emotional granularity are not well understood. While the anterior temporal lobes, angular gyri, and connected systems represent conceptual knowledge of emotions, inhibitory networks with hubs in the inferior frontal cortex (i.e., posterior inferior frontal gyrus, lateral orbitofrontal cortex, and dorsal anterior insula) guide the selection of this knowledge during emotions. We investigated the structural neuroanatomical correlates of emotional granularity in 58 healthy, older adults (ages 62-84 years), who have had a lifetime to accrue and deploy their conceptual knowledge of emotions. Participants reported on their daily experience of 13 emotions for 8 weeks and underwent structural magnetic resonance imaging. We computed intraclass correlation coefficients across daily emotional experience surveys (45 surveys on average per participant) to quantify each participant's overall emotional granularity. Surface-based morphometry analyses revealed higher overall emotional granularity related to greater cortical thickness in inferior frontal cortex (pFWE < 0.05) in bilateral clusters in the lateral orbitofrontal cortex and extending into the left dorsal anterior insula. Overall emotional granularity was not associated with cortical thickness in the anterior temporal lobes or angular gyri. These findings suggest individual differences in emotional granularity relate to variability in the structural neuroanatomy of the inferior frontal cortex, an area that supports the controlled selection of conceptual knowledge during emotional experiences.

The Promise of Affective Language for Identifying and Intervening on Psychopathology

We are in dire need of innovative tools for reducing the global burden of psychopathology. Emerging evidence suggests that analyzing language (i.e., the words people use) can grant insight into an individual's emotional experiences, their ability to regulate their emotions, and even their current experiences of psychopathology. As such, linguistic analyses of people's everyday word use may be a diagnostic marker of emotional well-being, and manipulating the words people use could foster adaptive emotion regulation and mental health. Given the ubiquity of language in everyday life, such language-based tools for measuring and intervening in emotion and mental health can advance how we identify and treat mental illnesses at a large scale. In this paper, I outline the promise of this approach and identify key problems we must solve if we are to make it a reality. In particular, I summarize evidence connecting language, emotion, and mental health for three key constructs: sentiment (i.e., the valence of one's language), linguistic distancing (i.e., using language to separate oneself from distressing stimuli), and emotion differentiation (i.e., using words to specifically identify one's emotions). I also identify open questions in need of attention for each of these constructs and this area of research as a whole. Overall, I believe the future is bright for the application of psycholinguistic approaches to mental health detection and intervention.

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.

Emotional Granularity is Associated with Daily Experiential Diversity

Emotional granularity is the ability to create differentiated and nuanced emotional experiences and is associated with positive health outcomes. Individual differences in granularity are hypothesized to reflect differences in emotion concepts, which are informed by prior experience and impact current and future experience. Greater variation in experience, then, should be related to the rich and diverse emotion concepts that support higher granularity. Using natural language processing methods, we analyzed descriptions of everyday events to estimate the diversity of contexts and activities encountered by participants. Across three studies varying in language (English, Dutch) and modality (written, spoken), we found that participants who referred to a more varied and balanced set of contexts and activities reported more differentiated and nuanced negative emotions. Experiential diversity was not consistently associated with granularity for positive emotions. We discuss the contents of daily life as a potential source and outcome of individual differences in emotion.

Supplementary Information

The online version contains supplementary material available at 10.1007/s42761-023-00185-2.

The role of emotional awareness in evaluative judgment: evidence from alexithymia

Evaluative judgments imply positive or negative regard. But there are different ways in which something can be positive or negative. How do we tell them apart? According to Evaluative Sentimentalism, different evaluations (e.g., dangerousness vs. offensiveness) are grounded on different emotions (e.g., fear vs. anger). If this is the case, evaluation differentiation requires emotional awareness. Here, we test this hypothesis by looking at alexithymia, a deficit in emotional awareness consisting of problems identifying, describing, and thinking about emotions. The results of Study 1 suggest that high alexithymia is not only related to problems distinguishing emotions, but also to problems distinguishing evaluations. Study 2 replicated this latter effect after controlling for individual differences in attentional impulsiveness and reflective reasoning, and found that reasoning makes an independent contribution to evaluation differentiation. These results suggest that emotional sensibilities play an irreducible role in evaluative judgment while affording a role for reasoning.

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.

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.

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 Differentiation in Current and Remitted Major Depressive Disorder

People with current major depressive disorder (MDD) experience diminished emotion differentiation. We tested the hypothesis that this emotional disturbance is chronic and also characterizes those whose MDD has remitted. As our main aim, we examined emotion differentiation in conjunction with elevated negative and diminished positive emotional intensity, which are both cardinal symptoms of MDD. As an exploratory aim, we examined the predominant theoretical conceptualization that people low in emotion differentiation use more general state terms (e.g., bad) and fewer emotion terms (e.g., anger) to describe their emotional experience. Participants (assessed via diagnostic interview) included individuals who had current MDD (current depressed; n = 48), individuals whose MDD was in full remission (remitted depressed; n = 80), and healthy controls (n = 87). Participants also completed two self-report measures of depressive symptoms and reported momentary emotion repeatedly for 14 days via experience sampling, from which we computed emotion differentiation (i.e., intraclass correlation coefficient) and emotional intensity (i.e., average of the mean emotion ratings across surveys). Finally, participants described a momentary emotional experience via an open-response format, which was coded for the use of general state and emotion terms. Compared to the healthy control group, the current and remitted depressed groups showed similarly low levels of negative and positive emotion differentiation. These findings suggest that diminished emotion differentiation may be a stable characteristic of depressive disorders and a possible target for future prevention efforts. Diminished negative emotion differentiation was significantly associated with higher depressive symptoms as assessed by only one of the depression measures, though this finding did not hold after adjusting for negative emotional intensity. Finally, participants’ emotion differentiation was not associated with use of general state and emotion terms, and groups did not use general state and emotion terms in ways that were consistent with the predominant theoretical conceptualization of emotion differentiation, suggesting the need for clarification in this research domain.

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.

Emotional Granularity Increases With Intensive Ambulatory Assessment: Methodological and Individual Factors Influence How Much

Individuals differ in their ability to create instances of emotion that are precise and context-specific. This skill - referred to as emotional granularity or emotion differentiation - is associated with positive mental health outcomes. To date, however, little work has examined whether and how emotional granularity might be increased. Emotional granularity is typically measured using data from experience sampling studies, in which participants are prompted to report on their emotional experiences multiple times per day, across multiple days. This measurement approach allows researchers to examine patterns of responses over time using real-world events. Recent work suggests that experience sampling itself may facilitate increases in emotional granularity in depressed individuals, such that it may serve both empirical and interventional functions. We replicated and extended these findings in healthy adults, using data from an intensive ambulatory assessment study including experience sampling, peripheral physiological monitoring, and end-of-day diaries. We also identified factors that might distinguish individuals who showed larger increases over the course of experience sampling and examined the extent of the impact of these factors. We found that increases in emotional granularity over time were facilitated by methodological factors, such as number of experience sampling prompts responded to per day, as well as individual factors, such as resting respiratory sinus arrhythmia. These results provide support for the use of experience sampling methods to improve emotional granularity, raise questions about the boundary conditions of this effect, and have implications for the conceptualization of emotional granularity and its relationship with emotional health.

Is Negative Emotion Differentiation Associated With Emotion Regulation Choice? Investigations at the Person and Day Level

Negative emotion differentiation (ED) has been suggested to be important for adaptive emotion regulation (ER). However, knowledge concerning how ED may impact specific ER strategy choice remains surprisingly sparse. We therefore investigated (1) if person-level negative ED was associated with habitual use of individual ER strategies, (2) how person-level negative ED was associated with daily use of individual ER strategies, and finally (3) how within-person daily fluctuations in negative ED were associated with daily use of individual ER strategies. During a 10-day experience sampling study, 90 healthy participants rated their momentary emotions and their ER efforts in response to those emotions. ER strategies included four putatively adaptive strategies (reflection, distancing, non-reactivity, reappraisal) and four putatively maladaptive strategies (rumination, experiential avoidance, expressive suppression, worry). Results revealed that negative ED at the person level was neither associated with habitual nor daily ER strategy endorsement when controlling for negative emotions. Likewise, associations between within-individual daily variation in negative ED and daily ER did not remain statistically significant after controlling for negative emotions. The results thus point to no or weak associations between negative ED and ER choice above and beyond negative emotions. Future experimental studies addressing ED at the momentary level and teasing out the ED-ER causal timeline are needed to further evaluate ED-ER associations. Findings from such research may represent an important step toward refining psychotherapeutic interventions aimed at improving emotional problems.