Faster, stronger, and more obligatory?A temporal analysis of negative (versus positive) emotional reactions

Twitter Usage Using Common Reference to Tinnitus

American Journal of Audiology ◽

10.1044/2020_aja-19-00055 ◽

2020 ◽

Vol 29 (2) ◽

pp. 206-217

Author(s):

Jianyuan Ni ◽

Monica L. Bellon-Harn ◽

Jiang Zhang ◽

Yueqing Li ◽

Vinaya Manchaiah

Keyword(s):

Nonprofit Organizations ◽

Temporal Trends ◽

Temporal Analysis ◽

Cross Sectional ◽

For Profit ◽

Common Reference ◽

Personal Experiences ◽

Twitter Users ◽

Sectional Analysis ◽

Share Information

Objective The objective of the study was to examine specific patterns of Twitter usage using common reference to tinnitus. Method The study used cross-sectional analysis of data generated from Twitter data. Twitter content, language, reach, users, accounts, temporal trends, and social networks were examined. Results Around 70,000 tweets were identified and analyzed from May to October 2018. Of the 100 most active Twitter accounts, organizations owned 52%, individuals owned 44%, and 4% of the accounts were unknown. Commercial/for-profit and nonprofit organizations were the most common organization account owners (i.e., 26% and 16%, respectively). Seven unique tweets were identified with a reach of over 400 Twitter users. The greatest reach exceeded 2,000 users. Temporal analysis identified retweet outliers (> 200 retweets per hour) that corresponded to a widely publicized event involving the response of a Twitter user to another user's joke. Content analysis indicated that Twitter is a platform that primarily functions to advocate, share personal experiences, or share information about management of tinnitus rather than to provide social support and build relationships. Conclusions Twitter accounts owned by organizations outnumbered individual accounts, and commercial/for-profit user accounts were the most frequently active organization account type. Analyses of social media use can be helpful in discovering issues of interest to the tinnitus community as well as determining which users and organizations are dominating social network conversations.

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Behavioral Factors Impact Impairment and Disability Evaluation

Guides Newsletter ◽

10.1001/amaguidesnewsletters.2011.sepoct03 ◽

2011 ◽

Vol 16 (5) ◽

pp. 5-7

Author(s):

Lee Ensalada

Keyword(s):

Social History ◽

Standardized Test ◽

Somatoform Disorders ◽

Disability Evaluation ◽

Body Part ◽

Emotional Reactions ◽

Illness Behavior ◽

Validity Testing ◽

Symptom Validity Testing ◽

Disease Pattern

Abstract Illness behavior refers to the ways in which symptoms are perceived, understood, acted upon, and communicated and include facial grimacing, holding or supporting the affected body part, limping, using a cane, and stooping while walking. Illness behavior can be unconscious or conscious: In the former, the person is unaware of the mental processes and content that are significant in determining behavior; conscious illness behavior may be voluntary and conscious (the two are not necessarily associated). The first broad category of inappropriate illness behavior is defensiveness, which is characterized by denial or minimization of symptoms. The second category includes somatoform disorders, factitious disorders, and malingering and is characterized by exaggerating, fabricating, or denying symptoms; minimizing capabilities or positive traits; or misattributing actual deficits to a false cause. Evaluators can detect the presence of inappropriate illness behaviors based on evidence of consistency in the history or examination; the likelihood that the reported symptoms make medical sense and fit a reasonable disease pattern; understanding of the patient's current situation, personal and social history, and emotional predispositions; emotional reactions to symptoms; evaluation of nonphysiological findings; results obtained using standardized test instruments; and tests of dissimulation, such as symptom validity testing. Unsupported and insupportable conclusions regarding inappropriate illness behavior represent substandard practice in view of the importance of these conclusions for the assessment of impairment or disability.

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The Therapist’s Reaction to a Patient’s Suicide

Crisis ◽

10.1027/0227-5910/a000062 ◽

2011 ◽

Vol 32 (2) ◽

pp. 99-105 ◽

Cited By ~ 23

Author(s):

Friedrich Martin Wurst ◽

Isabella Kunz ◽

Gregory Skipper ◽

Manfred Wolfersdorf ◽

Karl H. Beine ◽

...

Keyword(s):

Emotional Responses ◽

Well Being ◽

Emotional Reaction ◽

Emotional Reactions ◽

Analog Scale ◽

General Hospitals ◽

Item Questionnaire ◽

Retrospective Nature ◽

The Impact ◽

Over Time

Background: A substantial proportion of therapists experience the loss of a patient to suicide at some point during their professional life. Aims: To assess (1) the impact of a patient’s suicide on therapists distress and well-being over time, (2) which factors contribute to the reaction, and (3) which subgroup might need special interventions in the aftermath of suicide. Methods: A 63-item questionnaire was sent to all 185 Psychiatric Clinics at General Hospitals in Germany. The emotional reaction of therapists to patient’s suicide was measured immediately, after 2 weeks, and after 6 months. Results: Three out of ten therapists suffer from severe distress after a patients’ suicide. The item “overall distress” immediately after the suicide predicts emotional reactions and changes in behavior. The emotional responses immediately after the suicide explained 43.5% of the variance of total distress in a regression analysis. Limitations: The retrospective nature of the study is its primary limitation. Conclusions: Our data suggest that identifying the severely distressed subgroup could be done using a visual analog scale for overall distress. As a consequence, more specific and intensified help could be provided to these professionals.

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Heart Rate Variability, Emotions, and Music

Journal of Psychophysiology ◽

10.1027/0269-8803/a000021 ◽

2010 ◽

Vol 24 (2) ◽

pp. 112-119 ◽

Cited By ~ 9

Author(s):

F. Riganello ◽

A. Candelieri ◽

M. Quintieri ◽

G. Dolce

Keyword(s):

Data Mining ◽

Heart Rate ◽

Heart Rate Variability ◽

Vegetative State ◽

Low Frequency ◽

Emotional Reactions ◽

Heart Beat ◽

Healthy Controls ◽

Frequency Spectra ◽

Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

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The Influence of Cognitive and Affective Reactions to Feedback on Subsequent Goals

European Psychologist ◽

10.1027/1016-9040/a000011 ◽

2010 ◽

Vol 15 (2) ◽

pp. 121-131 ◽

Cited By ~ 20

Author(s):

Remus Ilies ◽

Timothy A. Judge ◽

David T. Wagner

Keyword(s):

Performance Feedback ◽

Business School ◽

Structural Equation ◽

Emotional Reactions ◽

Equation Model ◽

Proposed Model ◽

And Performance ◽

Dispositional Measure ◽

The Relationship ◽

Reactions To Feedback

This paper focuses on explaining how individuals set goals on multiple performance episodes, in the context of performance feedback comparing their performance on each episode with their respective goal. The proposed model was tested through a longitudinal study of 493 university students’ actual goals and performance on business school exams. Results of a structural equation model supported the proposed conceptual model in which self-efficacy and emotional reactions to feedback mediate the relationship between feedback and subsequent goals. In addition, as expected, participants’ standing on a dispositional measure of behavioral inhibition influenced the strength of their emotional reactions to negative feedback.

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