scholarly journals Cognitive reappraisal of negative affect: Converging evidence from EMG and self-report.

Emotion ◽  
2010 ◽  
Vol 10 (4) ◽  
pp. 587-592 ◽  
Author(s):  
Rebecca D. Ray ◽  
Kateri McRae ◽  
Kevin N. Ochsner ◽  
James J. Gross
Keyword(s):  
Negative Affect ◽  
Cognitive Reappraisal ◽  
Self Report

The Blank in the Mind Questionnaire (BIMQ)

2009 ◽  
Vol 25 (2) ◽  
pp. 115-122 ◽  
Author(s):  
Despina Moraitou ◽  
Anastasia Efklides
Keyword(s):  
Negative Affect ◽  
Convergent Validity ◽  
Factor Model ◽  
Self Report ◽  
Younger Adults ◽  
Confirmatory Factor ◽  
Memory Failure ◽  
Temporary Memory ◽  
The Mind ◽  
Lack Of Knowledge

Metacognitive awareness of memory failure may take the form of the “blank in the mind” (BIM) experience. The BIM experience informs the person of a temporary memory failure and takes the form of a disruption in the flow of consciousness, of a moment of no content in awareness. The aim of the present study was to examine the psychometric properties of the Blank in the Mind Questionnaire (BIMQ) designed to tap the BIM experience and differentiate it from other memory-related experiences, such as searching but not having in memory a piece of information (i.e., lack of knowledge). The participants (N = 493) were 249 younger adults (18–30 years old) and 244 older adults (63–89 years old) of both genders. Confirmatory factor analysis applied to the BIMQ confirmed a three-factor model with interrelations between the factors. The first factor represented the experience of lack of knowledge, the second represented the experience of BIM, and the third the person’s negative affective reactions to memory failure. The internal consistency of the three factors ranged from Cronbach’s α = .80 to .88. Convergent validity was shown with correlations of the BIMQ factors with self-report measures of cognitive and memory failures, and to the negative-affect subscale of the Positive and Negative Affect Schedule (PANAS).

Concurrent and Lagged Relations between Emotion Regulation and Affect in Adolescents’ Daily Life

2018 ◽  
Vol 21 ◽  
Author(s):  
Eliana Silva ◽  
Teresa Freire ◽  
Susana Faria
Keyword(s):  
Emotion Regulation ◽  
Negative Affect ◽  
Positive Affect ◽  
Sampling Method ◽  
Daily Life ◽  
Cognitive Reappraisal ◽  
Expressive Suppression ◽  
Daily Lives ◽  
Trait Level

AbstractA better understanding of emotion regulation (ER) within daily life is a growing focus of research. This study evaluated the average use of two ER strategies (cognitive reappraisal and expressive suppression) and concurrent and lagged relationships between these two ER strategies and affect (positive and negative affect) in the daily lives of adolescents. We also investigated the role of the same strategies at the trait level on these within-person relationships. Thirty-three adolescents provided 1,258 reports of their daily life by using the Experience Sampling Method for one week. Regarding the relative use of ER strategies, cognitive reappraisal (M = 2.87, SD = 1.58) was used more often than expressive suppression (M = 2.42, SD = 1.21). While the use of both strategies was positively correlated when evaluated in daily life (p = .01), the same did not occur at the trait level (p = .37). Multilevel analysis found that ER strategies were concurrently related to affect (p < .01), with the exception of cognitive reappraisal-positive affect relationship (p = .11). However, cognitive reappraisal predicted higher positive affect at the subsequent sampling moment ( β = 0.07, p = .03). The concurrent associations between cognitive reappraisal and negative affect vary as function of the use of this strategy at the trait level (β = 0.05, p = .02). Our findings highlighted the complex associations between daily ER strategies and affect of a normative sample of adolescents.

Validity of the Perceived Criticism Measure in an Undergraduate Sample

1998 ◽  
Vol 83 (1) ◽  
pp. 83-97 ◽  
Author(s):  
Jeffrey D. White ◽  
Joanna E. Strong ◽  
Dianne L. Chambless
Keyword(s):  
Negative Affect ◽  
Predictive Validity ◽  
Strong Evidence ◽  
Convergent Validity ◽  
Specific Interaction ◽  
Self Report ◽  
Divergent Validity ◽  
Perceived Criticism ◽  
Report Measure

The concurrent and predictive validity of the Perceived Criticism Measure's Criticism and Upset subscales was assessed for undergraduates, 21 men and 98 women. Participants were asked to identify five people important to them at present (typically these were parents as well as peers) and, for each, to rate how critical that person was as well as how upsetting they found that criticism to be. Scores on Upset exhibited convergent validity with another self-report measure of general sensitivity to criticism, whereas those on Criticism did not. Neither measure predicted higher ratings of criticism in a specific interaction with a mildly critical peer. Divergent validity with scores on a measure of depression was supported for Upset but was less clear for Criticism. Strong evidence of predictive validity for Criticism and Upset was obtained. Ratings for both Peer scales predicted increased negative affect after mild criticism from a peer, although this interaction took place 4 to 10 weeks after administration of the Perceived Criticism Measure.

scholarly journals Reduced effective emotion regulation in night owls.

2017 ◽  
Author(s):  
Ray Norbury
Keyword(s):  
Emotion Regulation ◽  
Sleep Quality ◽  
Depressive Symptomatology ◽  
Cognitive Reappraisal ◽  
Self Report ◽  
Quality Trait ◽  
Expressive Suppression ◽  
Specific Emotion ◽  
Depression Symptomatology ◽  
Age Range

Previous research has demonstrated a clear link between late chronotype and depression. The vulnerability factors underpinning this link, however, are unclear. Here the relationship between two specific emotion regulation strategies, cognitive reappraisal and expressive suppression, and chronotype was investigated using multiple regression. Two hundred and fourty participants (age range 18- 80, 189 females) completed validated self-report questionnaires assaying chronotype, neuroticism, depression symptomatology, sleep quality and emotion regulation. Eveningness was associated increased expressive suppression and morningness was associated with increased cognitive reappraisal after controlling for age, gender, depressive symptomatology, neuroticism and sleep quality. Trait expressive suppression and reduced cognitive reappraisal are known to increase depression risk. Our results suggest that eveningness is associated with impaired emotion regulation which may confer risk for future depression. These findings suggest modifiable markers that could be therapeutically targeted to prevent the onset of depression in late chronotype individuals.

scholarly journals Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors

10.2196/16875 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e16875 ◽  
Author(s):  
Nicholas C Jacobson ◽  
Berta Summers ◽  
Sabine Wilhelm
Keyword(s):  
Social Anxiety ◽  
Negative Affect ◽  
Positive Affect ◽  
Symptom Severity ◽  
Anxiety Symptom ◽  
Self Report ◽  
Sensor Data ◽  
Digital Phenotyping ◽  
Passive Sensor ◽  
Digital Biomarkers

Background Social anxiety disorder is a highly prevalent and burdensome condition. Persons with social anxiety frequently avoid seeking physician support and rarely receive treatment. Social anxiety symptoms are frequently underreported and underrecognized, creating a barrier to the accurate assessment of these symptoms. Consequently, more research is needed to identify passive biomarkers of social anxiety symptom severity. Digital phenotyping, the use of passive sensor data to inform health care decisions, offers a possible method of addressing this assessment barrier. Objective This study aims to determine whether passive sensor data acquired from smartphone data can accurately predict social anxiety symptom severity using a publicly available dataset. Methods In this study, participants (n=59) completed self-report assessments of their social anxiety symptom severity, depressive symptom severity, positive affect, and negative affect. Next, participants installed an app, which passively collected data about their movement (accelerometers) and social contact (incoming and outgoing calls and texts) over 2 weeks. Afterward, these passive sensor data were used to form digital biomarkers, which were paired with machine learning models to predict participants’ social anxiety symptom severity. Results The results suggested that these passive sensor data could be utilized to accurately predict participants’ social anxiety symptom severity (r=0.702 between predicted and observed symptom severity) and demonstrated discriminant validity between depression, negative affect, and positive affect. Conclusions These results suggest that smartphone sensor data may be utilized to accurately detect social anxiety symptom severity and discriminate social anxiety symptom severity from depressive symptoms, negative affect, and positive affect.

scholarly journals Russian Validation of Homophobia Scale (HS)

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Bogdan Tuziak
Keyword(s):  
Negative Affect ◽  
English Language ◽  
Russian Language ◽  
Self Report ◽  
Partnership Status ◽  
Negative Cognition ◽  
Sex Orientation ◽  
Behavioral Aggression ◽  
Farmer Workers ◽  
Self Reporting Questionnaire

Introduction: A three-factors self-reporting questionnaire, consisting of 25 items, related to behavior/negative affect, affect/behavioral aggression, and negative cognition towards homosexual people, was administered to a sample of 200 farmer workers recruited in various ways from two Bryansk and Kursk regions of Russian Federation. Aim: The objective of this paper is to validate the HS in the Russian sample in Russian language. Methods: A Russian translation of the HS was carried out by two bilingual translators, after which an English native translated the Russian test back into the English language. Main Outcome Measures: Together with the translated version of HS was administrated a biodata questionnaire including the main information as age, level of education, partnership status, faith and sex orientation. Results : Analyzing obtained data of 200 subjects (100 (50%) female and 100 (50%) male) with ages ranging from 18 to 50 years (mean age = 21.19±2.65; SD: 8.82) showed an overall Cronbach’s α coefficient 0.92 of the internal consistency. All three domains had a good alpha coefficient (three higher than .91), whereas in the total score was .87. The test-retest reliability results: behavior/negative affect was r = 0.79 (P < 0.0001), affect/behavioral aggression was r = 0.82 (P < 0.0001), negative cognition was r = 0.74 (P < 0.0001) and the HS total score was r = 0.93 (P < 0.0001). Conclusions: This study offers a new tool to assess homophobia in Russian population. The Russian validation of the HS in Russian language revealed the use of this self-report test to have good psychometric properties. Therefore, this scale is a necessary diagnostic instrument to detect subtle homophobic attitudes toward homosexual people and useful in the preventive programs of homophobic behavior, in the clinical praxis.

scholarly journals Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors (Preprint)

2019 ◽  
Author(s):  
Nicholas C Jacobson ◽  
Berta Summers ◽  
Sabine Wilhelm
Keyword(s):  
Social Anxiety ◽  
Negative Affect ◽  
Positive Affect ◽  
Symptom Severity ◽  
Anxiety Symptom ◽  
Self Report ◽  
Sensor Data ◽  
Digital Phenotyping ◽  
Passive Sensor ◽  
Digital Biomarkers

BACKGROUND Social anxiety disorder is a highly prevalent and burdensome condition. Persons with social anxiety frequently avoid seeking physician support and rarely receive treatment. Social anxiety symptoms are frequently underreported and underrecognized, creating a barrier to the accurate assessment of these symptoms. Consequently, more research is needed to identify passive biomarkers of social anxiety symptom severity. Digital phenotyping, the use of passive sensor data to inform health care decisions, offers a possible method of addressing this assessment barrier. OBJECTIVE This study aims to determine whether passive sensor data acquired from smartphone data can accurately predict social anxiety symptom severity using a publicly available dataset. METHODS In this study, participants (n=59) completed self-report assessments of their social anxiety symptom severity, depressive symptom severity, positive affect, and negative affect. Next, participants installed an app, which passively collected data about their movement (accelerometers) and social contact (incoming and outgoing calls and texts) over 2 weeks. Afterward, these passive sensor data were used to form digital biomarkers, which were paired with machine learning models to predict participants’ social anxiety symptom severity. RESULTS The results suggested that these passive sensor data could be utilized to accurately predict participants’ social anxiety symptom severity (<i>r</i>=0.702 between predicted and observed symptom severity) and demonstrated discriminant validity between depression, negative affect, and positive affect. CONCLUSIONS These results suggest that smartphone sensor data may be utilized to accurately detect social anxiety symptom severity and discriminate social anxiety symptom severity from depressive symptoms, negative affect, and positive affect.

scholarly journals Neural and Self-report Measures of Sensitivity to Uncertainty as Predictors of COVID-Related Negative Affect

2021 ◽  
pp. 111414
Author(s):  
Kia J. Khorrami ◽  
Charles A. Manzler ◽  
Kayla A. Kreutzer ◽  
Stephanie M. Gorka
Keyword(s):  
Negative Affect ◽  
Self Report

scholarly journals Associations between Trauma, Dissociation, Adult Attachment and Proneness to Hallucinations

2017 ◽  
Vol 46 (3) ◽  
pp. 292-301 ◽  
Author(s):  
Katherine Berry ◽  
Paul Fleming ◽  
Samantha Wong ◽  
Sandra Bucci
Keyword(s):  
Negative Affect ◽  
Adult Attachment ◽  
Clinical Symptoms ◽  
Clinical Sample ◽  
Childhood Adversity ◽  
Self Report ◽  
Clinical Population ◽  
Clinical Samples ◽  
Childhood Trauma Questionnaire ◽  
Relative Contribution

Background: Childhood adversity, dissociation and adult attachment have all been implicated in the development of hallucinations or ‘voice-hearing’. Testing psychological models in relation to subclinical phenomena, such as proneness to hallucinations in non-clinical samples, provides a convenient methodology to develop understanding of the processes and mechanisms underlying clinical symptoms. Aims: This paper investigates the relative contribution of childhood adversity, dissociation and adult attachment in explaining hallucination proneness in a non-clinical sample. Methods: Students and staff with no previous contact with secondary care at the University of Manchester were recruited. Participants completed a series of self-report measures: the Launay‒Slade Hallucination Scale (LSHS), the Relationship Scale Questionnaire (RSQ), the Childhood Trauma Questionnaire (CTQ), the Dissociative Experiences Schedule (DES II) and the Positive and Negative Affect Schedule (PANAS). Results: As hypothesized, insecure attachment, childhood adversity and dissociative symptoms were correlated with hallucination proneness. Multiple regression analysis, controlling for confounds of age and negative affect, indicated that the RSQ, CTQ and DES II predicted hallucination proneness. Only DES II and RSQ avoidant attachment were significant independent predictors in the final model. Conclusions: This study provides further evidence to support the idea that attachment and dissociation are important psychological mechanisms involved in voice-hearing proneness. Further testing is required with a clinical population.

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