Negative affect related traits and the chasm between self-report and neuroscience

2022 ◽  
Vol 43 ◽  
pp. 216-223
Author(s):  
Anika Brandt ◽  
Erik M Mueller
Keyword(s):  
2009 ◽  
Vol 25 (2) ◽  
pp. 115-122 ◽  
Author(s):  
Despina Moraitou ◽  
Anastasia Efklides

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).


1998 ◽  
Vol 83 (1) ◽  
pp. 83-97 ◽  
Author(s):  
Jeffrey D. White ◽  
Joanna E. Strong ◽  
Dianne L. Chambless

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.


10.2196/16875 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e16875 ◽  
Author(s):  
Nicholas C Jacobson ◽  
Berta Summers ◽  
Sabine Wilhelm

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.


2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Bogdan Tuziak

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.


2019 ◽  
Author(s):  
Nicholas C Jacobson ◽  
Berta Summers ◽  
Sabine Wilhelm

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.


Author(s):  
Kia J. Khorrami ◽  
Charles A. Manzler ◽  
Kayla A. Kreutzer ◽  
Stephanie M. Gorka
Keyword(s):  

2017 ◽  
Vol 46 (3) ◽  
pp. 292-301 ◽  
Author(s):  
Katherine Berry ◽  
Paul Fleming ◽  
Samantha Wong ◽  
Sandra Bucci

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.


2020 ◽  
Vol 10 (8) ◽  
pp. 496
Author(s):  
Elisa Leonardi ◽  
Antonio Cerasa ◽  
Francesca Isabella Famà ◽  
Cristina Carrozza ◽  
Letteria Spadaro ◽  
...  

In our study, we explored the construct of alexithymia in parents of children with and without ASD using a multi-method approach based on self-rated and external rater assessment. We also assessed the level of self-report measures of negative affect states such as trait anxiety and depression, and investigated the correlation between the alexithymia construct, trait anxiety, and depression within the broader autism phenotype (BAP). A total sample of 100 parents (25 mothers and 25 fathers in each group) were administered the TAS-20 and the TSIA to measure self-reported and observer-rated alexithymia traits, as well as self-report measures of anxiety and depression. Study results showed that the TSIA but not the TAS-20 was able to detect significant group differences in alexithymia traits among parents of children with and without ASD, with parents of ASD children displaying significantly higher levels of alexithymia. Furthermore, differently from the TAS-20, no significant correlations between the TSIA and measures of anxiety and depression were detected. Taken together, our results suggest the importance of using multi-method approaches to control for potential measurement bias and to detect psychological constructs such as alexithymia in subclinical samples such as parents of children with ASD.


2020 ◽  
Vol 11 ◽  
Author(s):  
Jinru Liu ◽  
Lin Zhu ◽  
Conghui Liu

This study examined the mediating roles of both positive and negative affects in the relationship between sleep quality and self-control. A sample of 1,507 Chinese adults (37% men; mean age = 32.5 years) completed self-report questionnaires measuring sleep quality, positive and negative emotions, and self-control. Poor sleep quality was positively correlated with negative affect and negatively correlated with positive affect and self-control. Positive affect was positively correlated with self-control, while negative affect was negatively correlated with self-control. Both positive and negative affects significantly mediated the relationship between sleep quality and self-control. Improving individuals’ sleep qualities may lead to more positive emotions and less negative emotion, and these mood changes may increase resources for self-control. Regulating positive and negative affects may reduce the negative effects of poor sleep quality on self-control.


1988 ◽  
Vol 10 (3) ◽  
pp. 307-321 ◽  
Author(s):  
Robert J. Brustad

This study was designed to examine potential correlates of positive and negative affect experienced by young athletes during a competitive sport season. An index of both positive affect, season-long enjoyment, and negative affect, competitive trait anxiety (CTA) were included. The study was grounded within Harter's (1978, 1981a) theory of competence motivation. Male and female participants (N=207) in an agency-sponsored youth basketball league completed self-report measures of self-esteem, perceived basketball competence, intrinsic/extrinsic motivational orientation, perceived parental pressure, and frequency of performance and evaluative worries. Team win/loss records and estimates of each player's ability were obtained from the coaches. Multiple regression analyses revealed that for both boys and girls, greater enjoyment was predicted by high intrinsic motivation and low perceived parental pressure. High CTA was predicted for both boys and girls by low self-esteem. These findings are consistent with predictions stemming from competence motivation theory.


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