Dissociation between emotional and endocrine responses preceding an academic examination in male medical students

1985 ◽  
Vol 107 (2) ◽  
pp. 163-170 ◽  
Author(s):  
P. I. M. Allen ◽  
K. A. Batty ◽  
C. A. S. Dodd ◽  
J. Herbert ◽  
C. J. Hugh ◽  
...  
Keyword(s):  
Medical Students ◽  
Emotional State ◽  
Serum Levels ◽  
Stressful Event ◽  
Emotional States ◽  
Examination Period ◽  
Consistent Change ◽  
Emotional Changes ◽  
Made In ◽  
University Examination

ABSTRACT A study was made in 2 consecutive years of the emotional states and morning and afternoon serum levels of prolactin, cortisol and testosterone of male medical students during a 4- to 5-week period preceding a major university examination. 'Distress', 'anxiety' and, to a lesser degree, 'depression' increased during the 2 weeks immediately preceding the examination and were positively correlated with personality anxiety or neuroticism traits. Group means for hormones showed no consistent change over the same period. Neither was there evidence for a correlation between endocrine and emotional changes within individual students during the pre-examination period. A restricted study showed that there were significant increments in cortisol in samples taken during the examination itself. Changes in emotional state before an examination occurred in the absence of equally dramatic changes in levels of the three hormones studied, though this relationship may have altered during the examination itself. This suggests that the factors controlling the two categories of response may relate differently, in some way, to the imminence of this stressful event. J. Endocr. (1985) 107, 163–170

scholarly journals Short Term Effect of the COVID-19 Pandemic On Progress Test Outcomes and Emotional State of Medical Students: A Quantitative and Qualitative Analysis

2021 ◽  
Author(s):  
Progress Test Medizin Charité Universitätsmedizin Berlin ◽  
Victoria Sehy ◽  
Iván Roselló Atanet ◽  
Miriam Sieg ◽  
Jana Struzena ◽  
...  
Keyword(s):  
Medical Students ◽  
Latent Dirichlet Allocation ◽  
Emotional State ◽  
Knowledge Gain ◽  
Emotional States ◽  
Learning Behavior ◽  
Progress Test ◽  
Short Term ◽  
Mixed Effect ◽  
Online Lectures

Abstract Background The COVID-19 pandemic has been the source of many challenges for medical students worldwide. The authors examined short-term effects on knowledge gain as well as shifts in learning behavior and study-related emotional states.Method The development of knowledge gain was measured comparing the outcomes of shared questions within Progress Test (PT) pairs. The authors used mixed-effect regression models and compared the absolute variations in the percentage of correct answers per subject. Three successive test pairs were analyzed in this manner: PT36-PT41 (both conducted before the pandemic), PT37-PT42 (PT37 took place before the pandemic; PT42 was conducted from April 2020 onwards) and PT38-PT43 (PT38 was administered before the pandemic; PT43 started in November 2020). A survey including closed and open-ended questions was also carried out in January 2021 with the purpose of assessing the learning behavior and emotional state of participants. Open-ended responses were analyzed using Latent Dirichlet Allocation. Results The most recent test of each PT-pair showed a higher mean score compared to the previous test in the same pair (PT36-PT41: 2.53 (95% CI: 1.31-3.75), PT37-PT42: 3.72 (2.57-4.88), PT38-PT43: 5.59 (4.37-6-81)). Analogously, an increase in the share of correct answers was observed for most medical disciplines, with Epidemiology showing the most remarkable upsurge.N=2,715 students from eleven different German-speaking faculties participated in the survey. Respondents were mostly positive towards online lectures, which were perceived as clearly beneficial, allowing for more time and flexibility. On the other hand, the suspension of practical lessons and alleged communicational and organizational shortcomings were seen as the main disadvantages. 28% of the students did not perceive negative impacts on their emotional state regarding their studies, however, 20% of the surveyed students found it difficult to cope with the lack of social contacts, with an additional 8% of them claiming to feel lonely, demotivated or abandoned.Conclusion: Overall, PT performance improved during the pandemic. Students see advantages in online lectures, but disadvantages in the cancellation of practical lectures; they miss their former social interactions and some even show signs of emotional distress.

Effect of Emotions in a Lexical Decision Task

2017 ◽  
Vol 76 (2) ◽  
pp. 71-79 ◽  
Author(s):  
Hélène Maire ◽  
Renaud Brochard ◽  
Jean-Luc Kop ◽  
Vivien Dioux ◽  
Daniel Zagar
Keyword(s):  
Lexical Decision ◽  
Lexical Decision Task ◽  
Emotional State ◽  
Control Group ◽  
Decision Task ◽  
Attentional Orienting ◽  
Emotional States ◽  
Sequence Effect ◽  
Emotion Induction ◽  
Before And After

Abstract. This study measured the effect of emotional states on lexical decision task performance and investigated which underlying components (physiological, attentional orienting, executive, lexical, and/or strategic) are affected. We did this by assessing participants’ performance on a lexical decision task, which they completed before and after an emotional state induction task. The sequence effect, usually produced when participants repeat a task, was significantly smaller in participants who had received one of the three emotion inductions (happiness, sadness, embarrassment) than in control group participants (neutral induction). Using the diffusion model ( Ratcliff, 1978 ) to resolve the data into meaningful parameters that correspond to specific psychological components, we found that emotion induction only modulated the parameter reflecting the physiological and/or attentional orienting components, whereas the executive, lexical, and strategic components were not altered. These results suggest that emotional states have an impact on the low-level mechanisms underlying mental chronometric tasks.

scholarly journals A prospective, observational clinical trial on the impact of COVID-19-related national lockdown on thyroid hormone in young males

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giulia Brigante ◽  
Giorgia Spaggiari ◽  
Barbara Rossi ◽  
Antonio Granata ◽  
Manuela Simoni ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Serum Levels ◽  
Stressful Event ◽  
Italian Population ◽  
Reference Ranges ◽  
Endocrine Regulation ◽  
Before And After ◽  
Hpt Axis ◽  
The Impact

AbstractTrying to manage the dramatic coronavirus disease 2019 (COVID-19) infection spread, many countries imposed national lockdown, radically changing the routinely life of humans worldwide. We hypothesized that both the pandemic per se and the consequent socio-psychological sequelae could constitute stressors for Italian population, potentially affecting the endocrine system. This study was designed to describe the effect of lockdown-related stress on the hypothalamic-pituitary-thyroid (HPT) axis in a cohort of young men. A prospective, observational clinical trial was carried out, including patients attending the male infertility outpatient clinic before and after the national lockdown for COVID-19 pandemic. The study provided a baseline visit performed before and a follow-up visit after the lockdown in 2020. During the follow-up visit, hormonal measurements, lifestyle habits and work management were recorded. Thirty-one male subjects were enrolled (mean age: 31.6 ± 6.0 years). TSH significantly decreased after lockdown (p = 0.015), whereas no significant changes were observed in the testosterone, luteinising hormone, follicle-stimulating hormone, estradiol and prolactin serum levels. No patient showed TSH serum levels above or below reference ranges, neither before nor after lockdown. Interestingly, TSH variation after lockdown was dependent on the working habit change during lockdown (p = 0.042). We described for the first time a TSH reduction after a stressful event in a prospective way, evaluating the HPT axis in the same population, before and after the national lockdown. This result reinforces the possible interconnection between psychological consequences of a stressful event and the endocrine regulation.

scholarly journals Dogs can infer implicit information from human emotional expressions

2021 ◽  
Author(s):  
Natalia Albuquerque ◽  
Daniel S. Mills ◽  
Kun Guo ◽  
Anna Wilkinson ◽  
Briseida Resende
Keyword(s):  
Emotional State ◽  
Food Resource ◽  
Emotional Expressions ◽  
Emotional States ◽  
Emotional Information ◽  
Implicit Information ◽  
Emotional Display ◽  
Affective Information ◽  
Social Decision Making ◽  
Current Behaviour

AbstractThe ability to infer emotional states and their wider consequences requires the establishment of relationships between the emotional display and subsequent actions. These abilities, together with the use of emotional information from others in social decision making, are cognitively demanding and require inferential skills that extend beyond the immediate perception of the current behaviour of another individual. They may include predictions of the significance of the emotional states being expressed. These abilities were previously believed to be exclusive to primates. In this study, we presented adult domestic dogs with a social interaction between two unfamiliar people, which could be positive, negative or neutral. After passively witnessing the actors engaging silently with each other and with the environment, dogs were given the opportunity to approach a food resource that varied in accessibility. We found that the available emotional information was more relevant than the motivation of the actors (i.e. giving something or receiving something) in predicting the dogs’ responses. Thus, dogs were able to access implicit information from the actors’ emotional states and appropriately use the affective information to make context-dependent decisions. The findings demonstrate that a non-human animal can actively acquire information from emotional expressions, infer some form of emotional state and use this functionally to make decisions.

An experimental study on the effect of emotion lines in comics

Semiotica ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Amitash Ojha ◽  
Charles Forceville ◽  
Bipin Indurkhya
Keyword(s):  
Experimental Study ◽  
Emotional State ◽  
Negative Emotions ◽  
Emotional States ◽  
One To One

Abstract Both mainstream and art comics often use various flourishes surrounding characters’ heads. These so-called “pictorial runes” (also called “emanata”) help convey the emotional states of the characters. In this paper, using (manipulated) panels from Western and Indian comic albums as well as neutral emoticons and basic shapes in different colors, we focus on the following two issues: (a) whether runes increase the awareness in comics readers about the emotional state of the character; and (b) whether a correspondence can be found between the types of runes (twirls, spirals, droplets, and spikes) and specific emotions. Our results show that runes help communicate emotion. Although no one-to-one correspondence was found between the tested runes and specific emotions, it was found that droplets and spikes indicate generic emotions, spirals indicate negative emotions, and twirls indicate confusion and dizziness.

The Compleat Pediatrician

PEDIATRICS ◽  
1949 ◽  
Vol 4 (5) ◽  
pp. 709-709
Keyword(s):  
Medical Students ◽  
General Practitioners ◽  
Constant Practice ◽  
Made In

The author's own statement in the preface is the only indication of the changes which have been made in this edition. Since he states also that the book is not intended to be read conscientiously or for pleasure, but only when in need of information, it is implied that the information desired to use for judging a new edition is not necessarily a pleasure and one would surely not read conscientiously. The author's statement of the numerical changes can be only accepted. The book has been popular, it is unusual and it can be recommended for the use of medical students, interns, general practitioners and pediatricians, especially those engaged in teaching. Its easy use depends, "like one's golf," on constant practice.

scholarly journals Predicting Stress in Teens from Wearable Device Data Using Machine Learning Methods

2020 ◽  
Author(s):  
Claire W. Jin ◽  
Ame Osotsi ◽  
Zita Oravecz
Keyword(s):  
High Stress ◽  
Well Being ◽  
Physiological Signals ◽  
Support Vector ◽  
Stressful Event ◽  
Emotional States ◽  
Machine Model ◽  
Daily Lives ◽  
Physiological Indicators ◽  
Physiological Markers

AbstractStress management is a pervasive issue in the modern high schooler’s life. Despite many efforts to support adolescents’ mental well-being, teenagers often fail to recognize signs of high stress and anxiety until their emotions have escalated. Being able to identify early signs of these intense emotional states and predict their onset using physiological signals collected passively in real-time could help teenagers improve their awareness of their emotional well-being and take a more proactive approach to managing their emotions. To evaluate the potential of this approach, we collected data from high schoolers with Empatica E4 wearable health monitors (wristband) while they were living their daily lives. The data consisted of stressful event reports and physiological markers over the course of 4 weeks. We developed a random forest model and a support vector machine model and systematically assessed their performance in terms of predicting the onset of stress events and identifying physiological signals of stress. The models showed strong performance in terms of these measures and provided insights on physiological indicators of adolescent stress.

scholarly journals The role of emotional service in the restaurant business

2022 ◽  
pp. 164-167
Author(s):  
N. A. Ofitserova
Keyword(s):  
Emotional Intelligence ◽  
Customer Satisfaction ◽  
Emotional Labor ◽  
Work Performance ◽  
Positive Emotions ◽  
Emotional State ◽  
Communicative Competence ◽  
Point Of View ◽  
Emotional States

The article considers the restaurant business from the point of view of not only the entrepreneurial aspect, but also the service aspect, which is fundamental. The reasons why people visit restaurants have been revealed. In addition to physical need, restaurants are an element of cognition and a way of experiencing positive emotions. The importance of the restaurant business in shaping people’s positive emotional state has been formulated. Two forms of emotional labor of an employee and the influence of emotional states on work performance have been highlighted. The role of emotional intelligence and communicative competence in customer satisfaction with a restaurant visit has been determined. The importance of developing emotional intelligence has been concluded. Recommendations for its development has been formulated. 

scholarly journals Speech-based human emotion recognition

2021 ◽  
Author(s):  
Talieh Seyed Tabtabae
Keyword(s):  
Emotion Recognition ◽  
Emotional State ◽  
Speaker Identification ◽  
Recognition System ◽  
Research Area ◽  
Speech Signals ◽  
Spectral Features ◽  
Emotional States ◽  
Human Communication ◽  
Set Up

Automatic Emotion Recognition (AER) is an emerging research area in the Human-Computer Interaction (HCI) field. As Computers are becoming more and more popular every day, the study of interaction between humans (users) and computers is catching more attention. In order to have a more natural and friendly interface between humans and computers, it would be beneficial to give computers the ability to recognize situations the same way a human does. Equipped with an emotion recognition system, computers will be able to recognize their users' emotional state and show the appropriate reaction to that. In today's HCI systems, machines can recognize the speaker and also content of the speech, using speech recognition and speaker identification techniques. If machines are equipped with emotion recognition techniques, they can also know "how it is said" to react more appropriately, and make the interaction more natural. One of the most important human communication channels is the auditory channel which carries speech and vocal intonation. In fact people can perceive each other's emotional state by the way they talk. Therefore in this work the speech signals are analyzed in order to set up an automatic system which recognizes the human emotional state. Six discrete emotional states have been considered and categorized in this research: anger, happiness, fear, surprise, sadness, and disgust. A set of novel spectral features are proposed in this contribution. Two approaches are applied and the results are compared. In the first approach, all the acoustic features are extracted from consequent frames along the speech signals. The statistical values of features are considered to constitute the features vectors. Suport Vector Machine (SVM), which is a relatively new approach in the field of machine learning is used to classify the emotional states. In the second approach, spectral features are extracted from non-overlapping logarithmically-spaced frequency sub-bands. In order to make use of all the extracted information, sequence discriminant SVMs are adopted. The empirical results show that the employed techniques are very promising.

scholarly journals Engineering Emotionally Intelligent Agents

2011 ◽  
pp. 99-117
Author(s):  
Penny Baillie ◽  
Mark Toleman ◽  
Dickson Lukose
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Emotional State ◽  
Psychological Theory ◽  
Emotional States ◽  
Changing Environment ◽  
Emotionally Intelligent ◽  
Over Time ◽  
The Way

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use of the affective space, an agent can predict the effect certain behaviors will have on its emotional state and, in turn, decide how to behave. Furthermore, an agent can use the emotions produced from its behavior to update its beliefs about particular entities and events. This chapter explores the psychological theory used to structure the affective space, the way in which the strength of emotional states can be diminished over time, how emotions influence an agent’s perception, and the way in which an agent can migrate from one emotional state to another.

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