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Emotion Differentiation as Resilience Against Excessive Alcohol Use: An Ecological Momentary Assessment in Underage Social Drinkers

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Some people are adept at using discrete emotion categories (anxious, angry, sad) to capture their felt experience; other people merely communicate how good or bad they feel. We theorized that people who are better at describing their emotions might be less likely to self-medicate with alcohol. During a 3-week period, 106 underage social drinkers used handheld computers to self-monitor alcohol intake. From participants' reported experiences during random prompts, we created an individual difference measure of emotion differentiation. Results from a 30-day timeline follow-back revealed that people with intense negative emotions consumed less alcohol if they were better at describing emotions and less reliant on global descriptions. Results from ecological momentary assessment procedures revealed that people with intense negative emotions prior to drinking episodes consumed less alcohol if they were better at describing emotions. These findings provide support for a novel methodology and dimension for understanding the influence of emotions on substance-use patterns.
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... Scoring the emotion differentiation task requires comparing the emotion ratings made in a single trial by a participant to their ratings for emotions across trials to see if the pattern of scores is consistent or differs across trials (i.e., to determine if emotional ratings are similar or differ across pictures). The standard method used to assess emotion differentiation is the intraclass correlation (ICC; Kashdan et al., 2010; 204 ESKRITT AND ZUPAN Pond et al., 2012). The ICC was calculated by comparing the absolute emotion ratings made by a participant for each of the different pictures across all the pictures. ...
... The mean emotion differentiation score was .72 (SD = .18), which is within an expected range when compared to previous research (Emery et al., 2014;Erbas et al., 2014;Kashdan et al., 2010;Pond et al., 2012;Starr et al., 2020). Bivariate correlations were calculated between participants' emotion differentiation scores and participants' performance across the different conditions. ...
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The present study examined individuals' ability to identify emotions being expressed in vocal cues depending on the accent of the speaker as well as the intensity of the emotion being expressed. Australian and Canadian participants listened to Australian and Canadian speakers express pairs of emotions that fall within the same emotion family but vary in intensity (e.g., anger vs. irritation). Accent of listener was unrelated to emotion recognition. Instead, performance varied more based on emotion intensity and sex; Australian and Canadian participants generally found high intensity emotions easier to recognize compared to low intensity emotions as well as emotion conveyed by females compared to males. Participants found it particularly difficult to recognize the expressed emotion of Australian males. The results suggest the importance of considering the context in which emotion recognition is embedded. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
... In order to reinforce psychological resilience improving sleep quality and following the directives of positive psychology are a few among other health promotion interventions [76][77][78]. Furthermore, previous and recent studies during the pandemic evidence that higher levels of psychological resilience buffer against stress and negative emotions and have been associated with lower alcohol consumption and lower hazardous drinking patterns [79][80][81][82][83][84][85]. ...
... Our crosssectional sample of healthy older adults had a relatively narrow age range in which to explore associations between age and emotional granularity, but there are likely differences in how older adults engage the IFC, anterior temporal lobes, and angular gyri during cognitive and affective tasks (Lacombe et al., 2015;Seghier, 2013). While most previous studies of emotional granularity have focused on younger adults (Barrett et al., , 2007Boden et al., 2013;Kang & Shaver, 2004;Kashdan et al., 2010;Kashdan & Farmer, 2014;Pond et al., 2012), relatively less is known about emotional granularity in the later years of life (Grühn et al., 2013;Mankus et al., 2016;Ong & Bergeman, 2004;Ready et al., 2008;Starr et al., 2017). Knowledge of emotion concepts becomes elaborated across development, with some evidence for nonlinear changes across childhood and adolescence but increasing sophistication in adulthood (Carstensen et al., 2000;Nook et al., 2017Nook et al., , 2018. ...
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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 ( p FWE < 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.
... Moreover, people who can accurately differentiate their emotions suffer fewer behavioral issues. For instance, a study found that people who can better describe their negative emotions tend to consume less alcohol to self-medicate [4]. Another research revealed that high differentiators are less likely to show aggressive impulses (i.e., failure to control anger-driven aggressive impulses when aroused is a common cause of aggression) when experiencing angry emotion [5,6]. ...
... Individuals who use emotion words in a granular manner are less prone to maladaptive behaviors, such as binge eating (Dixon-Gordon et al., 2014), alcohol abuse (Kashdan et al., 2010), nonsuicidal self-injury (Zaki et al., 2013), and physical aggression (Pond et al., 2012). Emotional granularity is thought to be a transdiagnostic vulnerability across a range of mental health disorders (Kashdan et al., 2015). ...
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... A growing literature attests to a link between higher emotional granularity and positive outcomes (for recent reviews, see O'Toole et al., 2020;Seah & Coifman, 2021;Thompson et al., 2021). Benefits include more successful emotion regulation (e.g., Kalokerinos et al., 2019) and healthier coping (e.g., Kashdan et al., 2010), as well as fewer symptoms of anxiety and depression (e.g., Seah et al., 2020;Willroth et al., 2019). Motivated by these findings, studies have begun to look at how granularity develops (e.g., Nook et al., 2017) and how it may manifest in a larger set of biological and interpersonal processes (e.g., Hoemann, Khan et al., 2021;Israelashvili et al., 2019). ...
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Foreword James S. Grotstein Acknowledgements Introduction Graeme Taylor 1. The development and regulation of affects Graeme Taylor, Michael Bagby and James Parker 2. Affect dysregulation and alexithymia Michael Bagby and Graeme Taylor 3. Measurement and validation of the alexithymia construct Michael Bagby and Graeme Taylor 4. Relations between alexithymia, personality, and affects James Parker and Graeme Taylor 5. The neurobiology of emotion, affect regulation and alexithymia James Parker and Graeme Taylor 6. Somatoform disorders Graeme Taylor 7. Anxiety and depressive disorders and a note on personality disorders Michael Bagby and Graeme Taylor 8. Substance use disorders Graeme Taylor 9. Eating disorders Graeme Taylor 10. Affects and alexithymia in medical illness and disease Graeme Taylor 11. Treatment considerations Graeme Taylor 12. Future directions James Parker, Michael Bagby and Graeme Taylor References Index.
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