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Emotions

Q: How do emotions influence human behavior and decision-making?

Emotions play a crucial role in human cognition, perception, and decision-making. They can significantly impact our thought processes, behavior, and interactions with others. By understanding the mechanisms and effects of emotions, researchers can uncover how they influence individual well-being, social dynamics, and overall health.

Emotions are complex psychophysical experiences that involve subjective feelings, physiological changes, and behavioral responses.
They play a crucial role in human cognition, perception, and decision-making.
Emotions can be categorized into basic states, such as happiness, sadness, fear, anger, surprise, and disgust, each with distinct neural pathways and physiological correlates.
Understanding the mechanisms and effects of emotions is essential for fields like psychology, neuroscience, and affective computing.
Researchers study emotions to uncover their impact on individual well-being, social interactions, and overall health.
Accurate measurement and analysis of emotional responses are vital for advancing emotions research and developing effective interventions.
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Most cited protocols related to «Emotions»

Defining Acceptability in Healthcare Interventions

To define the concept of acceptability we reviewed the results of the overview of reviews, specifically the conceptual and operational definitions identified by both consensus group exercises and the variables reported in the behavioural and self-report measures (identified from the included systematic reviews). Qualitatively synthesising these definitions, we proposed the following conceptual definition of acceptability:

A multi-faceted construct that reflects the extent to which people delivering or receiving a healthcare intervention consider it to be appropriate, based on anticipated or experienced cognitive and emotional responses to the intervention.

This definition incorporates the component constructs of acceptability (cognitive and emotional responses) and also provides a hypothesis (cognitive and emotional responses are likely to influence behavioural engagement with the intervention). This working definition of acceptability can be operationalised for the purpose of measurement.

Sekhon M., Cartwright M, & Francis J.J. (2017). Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Services Research, 17, 88.

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Publication 2017

Behavior Therapy Cognition Emotions

Development and Validation of KIDSCREEN Instruments

Conceptually, the KIDSCREEN instruments are based on the definition of QoL as a multidimensional construct covering physical, emotional, mental, social, and behavioral components of well-being and functioning as perceived by patients and/or other individuals. The KIDSCREEN project used a simultaneous approach to include 13 European countries in the cross-cultural harmonization and development of the measures. Content for the KIDSCREEN questionnaire was generated from a literature review [5 ], a Delphi exercise with experts in QoL measurement in children [11 (link)], and focus groups with children and parents [12 (link)]. Focus group work in the participating European countries led to the formulation of 2,505 statements which formed the original pool of possible items for the questionnaire. After an item reduction process involving redundancy rating and card sorting (Fig. 1), 179 items were selected to form the basis of a draft questionnaire for pilot testing. Administration in a pilot study with 3,019 children in seven European countries provided data which allowed for further item reduction using a combination of classical test theory (CTT) and item response theory (IRT) so as to define the final and definitive version of 52 items covering 10 dimensions of QoL [6 (link), 13 (link)]. From this version, the KIDSCREEN-27 was produced using basic item analyses, confirmatory and explorative factor analyses, and IRT [8 (link), 9 (link)] and the KIDSCREEN-10 was developed in turn from KIDSCREEN-27 using Rasch analysis [10 (link)].
Fig. 1

Flowchart showing development process of the KIDSCREEN tool

All three KIDSCREEN questionnaires were psychometrically tested using data obtained in a multicenter European study which included a sample of 22,827 children recruited in 13 countries [14 (link)]. Participants completed the KIDSCREEN-52 together with one or more other QoL instruments for children and adolescents, such as the pediatric quality of life inventory (PedsQL) [15 (link)], Child Health and Illness Profile-Adolescent Edition (CHIP-AE—in children aged 12 years and over) [16 ] or the youth quality of life instrument—surveillance version (YQOL-S) [17 (link)]. The reliability and validity of the 52-, 27-, and 10-item versions of KIDSCREEN were tested primarily using a CTT approach, though Rasch analysis was also used. Test–retest reliability was assessed in approximately 10 % of the overall sample by administering the questionnaire on two occasions 2 weeks apart. The instruments’ convergent and known groups’ validity was tested by examining correlations with similar instruments and investigating whether KIDSCREEN-27 and KIDSCREEN-52 discriminated between groups defined by differences in health status. The underlying structure of the 27- and 52-item versions was examined using factor analysis and the criterion validity of KIDSCREEN-10 and KIDSCREEN-27 was analyzed by determining the magnitude of correlations with the KIDSCREEN-52. All validity testing was carried out in both the self-complete and proxy versions. Further analyses were performed to determine the cross-cultural validity of the different language versions [9 (link)]. Population norms are available at http://www.kidscreen.org.
To test responsiveness and sensitivity to change in the KIDSCREEN instruments, they have been included in longitudinal studies which provide evidence of this property. One example of such a study was a 3-year follow-up study in Spain, which investigated changes in QoL in a representative, population-based sample of children and adolescents in Spain [18 (link)] and how changes in mental health affected QoL over the same period [19 (link)]. Another example is the German longitudinal study of mental health in children and adolescents [BELLA study, 20 ].

Ravens-Sieberer U., Herdman M., Devine J., Otto C., Bullinger M., Rose M, & Klasen F. (2013). The European KIDSCREEN approach to measure quality of life and well-being in children: development, current application, and future advances. Quality of Life Research, 23(3), 791-803.

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Publication 2013

A 827 Adolescent Child Children's Health Cultural Evolution DNA Chips Emotions Europeans Hypersensitivity Mental Health Parent Patients Vaginal Diaphragm Youth

Assessing Psychological and Quality of Life Outcomes

The HADS contains 14 items and consists of two subscales: anxiety and depression. Each item is rated on a four-point scale, giving maximum scores of 21 for anxiety and depression. Scores of 11 or more on either subscale are considered to be a significant 'case' of psychological morbidity, while scores of 8–10 represents 'borderline' and 0–7 'normal' [6 (link)]. Emotional functioning and global quality of life was measured using the EORTC QLQ-C30 subscales. Emotional functioning contains 4 items and each item is rated on a four-point scale and global quality of life contains 2 items and each item is rated on a seven-point scale. A linear transformation was performed to standardize the row scores. Scores of each subscales range from 0 to 100 and the higher values indicate a higher (better) level of functioning and global quality of life [7 ]. Demographic data were collected using a short questionnaire at the patients' first clinic visit and included recording of age, educational level, and marital status. Disease stage was extracted from case records.

Montazeri A., Vahdaninia M., Ebrahimi M, & Jarvandi S. (2003). The Hospital Anxiety and Depression Scale (HADS): translation and validation study of the Iranian version. Health and Quality of Life Outcomes, 1, 14.

Publication 2003

4-amino-4'-hydroxylaminodiphenylsulfone Anxiety Clinic Visits Emotions Patients

Evaluating HRQOL in DES Patients

Researchers conducted chart reviews for each study subject at the time of enrollment and HRQOL was evaluated at baseline and at 6 and 12 months after revascularization in patients treated with DES. The baseline questionnaires were completed in hospital at the time of the initial revascularization procedure, subsequent questionnaires were sent by mail. Those patients who did not respond to the mailed survey more than 2 weeks were contacted by telephones. We relied on previously validated questionnaire namely the Short-Form 36 (SF-36) health survey [8 (link)] to assess the patients overall healthy perception. This general HRQOL instrument was chosen rather than more specific tools since it provides an assessment of subjects’ own perception of their quality of life as a function of their general state of health. SF-36 includes 36-item scales measuring the following 8 health domains: physical functioning, role limitations due to physical problems, bodily pain, general health perceptions, vitality, social function, role limitations due to emotional problems, and mental health, as well as health change over the past year. Summary scores are derived by collapsing the 8 subscales, each scale ranges from 0 to 100, with a higher score corresponding to a better HRQOL. The 8 specific domains of physical and emotional scores can be summarized into 2 main scores: the Physical Component Score (PCS) and Mental Component Score (MCS).

Xue C., Bian L., Xie Y.S., Yin Z.F., Xu Z.J., Chen Q.Z., Zhang H.L, & Wang C.Q. (2017). Impact of smoking on health-related quality of Life after percutaneous coronary intervention treated with drug-eluting stents: a longitudinal observational study. Health and Quality of Life Outcomes, 15, 1.

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Publication 2017

Emotions Mental Health Pain Patients Physical Examination

CT Imaging of COVID-19 Patients in China

Our institutional review board waived the requirement to obtain written informed consent for this retrospective case series, which evaluated de-identified data and involved no potential risk to patients. To avert any potential breach of confidentiality, no link between the patients and the researchers was made available.
From January 18, 2020, until January 27, 2020, 21 patients admitted to three hospitals in three provinces in China with confirmed 2019-nCoV underwent chest CT. Ten patients were from Zhuhai (Guangdong Province) and were imaged with 1-mm-thick slices with a UCT 760 scanner (United Imaging, Shanghai, China). Nine patients were from Nanchang (Jiangxi Province) and were imaged with 8-mm-thick slices with an Emotion 16 scanner (Siemens Healthineers, Erlangen, Germany). Two patients were from Qingdao (Shandong Province) and were imaged with 5-mm-thick slices, one with a BrightSpeed scanner (GE Medical Systems, Milwaukee, Wis) and one with an Aquilion ONE scanner (Toshiba Medical Systems, Tokyo, Japan). All scans were obtained with the patient in the supine position during end-inspiration without intravenous contrast material. All patients were positive for 2019-nCov at laboratory testing of respiratory secretions obtained by means of bronchoalveolar lavage, endotracheal aspirate, nasopharyngeal swab, or oropharyngeal swab.
Patient selection for this study was consecutive in each of the three institutions, and no exclusion criteria were applied (Table 1). In addition to age and sex, clinical information collected included severity and time course of symptoms as well as travel and exposure history.

Chung M., Bernheim A., Mei X., Zhang N., Huang M., Zeng X., Cui J., Xu W., Yang Y., Fayad Z.A., Jacobi A., Li K., Li S, & Shan H. (2020). CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV). Radiology.

Publication 2020

Bronchoalveolar Lavage Chest Contrast Media Emotions Ethics Committees, Research Inhalation Nasopharynx Oropharynxs Patients Radionuclide Imaging Respiratory Rate SARS-CoV-2 Secretions, Bodily

Most recents protocols related to «Emotions»

Measuring Remote Work Negative Emotions

Negative emotion was measured with a five-item scale of Liu et al75 (link) Respondents had to evaluate the average frequency they experienced following emotions while working from home (1=Never; 2=Seldom; 3=Sometimes; 4=Often; 5=Always). A sample item is “My work makes me anxious” (Cronbach’s α=0.939).

Wang H., Xiao Y., Wang H., Zhang H, & Chen X. (2023). “Who Knows Me Understands My Needs”: The Effect of Home-Based Telework on Work Engagement. Psychology Research and Behavior Management, 16, 619-635.

Publication 2023

Emotions

Telework and Emotional Well-being

All scales’ items were originally developed in English and were therefore translated into Chinese. All scales’ items except home-based telework and negative emotion, are measured on a five-point Likert scale from 1= “strongly disagree” to 5 = “strongly agree”.

Publication 2023

Chinese Emotions

Comprehensive Cognitive Assessment in Psychiatric Disorders

All patients are assessed with a ~ 1-h neuropsychological test battery, including ‘cold’ (emotion-independent) cognitive tasks indexing reaction time; psychomotor speed; verbal learning and memory; working memory; and executive functions, as well as ‘hot’ (emotion-dependent) cognitive tasks from the Danish version of the EMOTICOM test-battery indexing emotion recognition; emotion detection; and moral emotions in social situations [60 (link)].
Patients in subcohorts I-II will complete an additional ~ 1 h of testing with tasks assessing mental flexibility, verbal fluency, and visuospatial learning and memory (see Additional questionnaires for the subcohort I-II only are in bold.
Table 3 for a complete overview of all cognitive tasks). In addition, patients’ subjective experiences of cognitive disturbances will be assessed by the Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA) questionnaire [36 (link)].Table 3

Cognitive testing before treatment

Cognitive Test	Cognitive Domaine
Whole Cohort
Simple Reaction Time task (SRT)	Reaction time
Trail Making Test A & B	Psychomotor speed/executive function
Symbol Digit Modality Task (SDMT)	Psychomotor speed/working memory
Letter-Number Sequence (LNS)	Working memory
D-KEFS Color-Word Interference Test (Stroop)	Executive function
Rey Auditory Verbal Learning Test (RAVLT)	Learning/memory
EMOTICOM Emotional Recognition Task (ERT)	Emotion recognition accuracy
EMOTICOM Emotional Intensity Morphing Task (IMT)	Emotion perceptual detection threshold
EMOITCOM Moral Emotions Task (MET)	Social cognition: guilt and shame
Additional testing in the subcohorts
D-KEFS Verbal Fluency	Executive function
Rey Complex Figure Test (RCFT)	Visuo-spatial learning/memory
Probabilistic Reversal Learning task	Learning within a feedback context
Screen for Cognitive Impairments in Psychiatry—Depression (SCIP-D)	Memory, working memory, vocabulary, psychomotor speed

Patients in subcohorts I-II will complete an additional ~ 1 h of testing with tasks assessing mental flexibility, verbal fluency, and visuospatial learning and memory (see Additional questionnaires for the subcohort I-II only are in bold.

Jensen K.H., Dam V.H., Ganz M., Fisher P.M., Ip C.T., Sankar A., Marstrand-Joergensen M.R., Ozenne B., Osler M., Penninx B.W., Pinborg L.H., Frokjaer V.G., Knudsen G.M, & Jørgensen M.B. (2023). Deep phenotyping towards precision psychiatry of first-episode depression — the Brain Drugs-Depression cohort. BMC Psychiatry, 23, 151.

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Publication 2023

Cognition Cognitive Testing Common Cold Disorders, Cognitive Emotions Executive Function Fingers Guilt Memory Memory, Short-Term Morphine Neuropsychological Tests Patients Recognition, Psychology

Disrupted Childhoods and Lasting Trauma

Fragmented, often abusive early settings characterised by poor relationships with one or both parents characterised participants sense of their place in the world. The family home was frequently associated with experiences of physical, emotional and sexual abuse. With the disruption of formative networks and bonds with caregivers, this culminated for many within institutional care or the care of relatives. Reported experiences of care were mixed, with many women describing “getting in with the wrong crowd” and taking drugs for the first time but also feelings of relief during a respite from abuse at home:

Me mam was a severe alcoholic. I used to get beat up daily. The school didn’t do anything until I was 12-year old, after me nanna died. And basically, I got put with the person who was actually raping me. So I was there for 3 months and the trauma of that, I just couldn’t cope with. So I rebelled at school, and that’s when I got put into […] children’s home. Things started to calm down a little bit there, but I just wanted to be – it sounds stupid – but I wanted to be where my safety net was, where my mam was (Rosie).

Women described the home environment being one where substance misuse and interpersonal conflict were normalized. Trauma was widely experienced, with multiple adverse experiences throughout the life course. Leaving home often occurred as a result of crisis, either the death of a main caregiver or family breakdown. Women described getting into relationships with older men, which provided both a means of escape and in many cases a trap. For Michelle, a relationship initially provided a refuge from her homelife and though the relationship quickly turned sour her mother did not allow her to return home: “I moved out when I was 15 year old I rang me mam crying cos I was miles away from [home …] and she went “you’ve made your bed you lie in it” (Michelle).
Early experiences of abusive family life set future expectations of relationships, where physical violence was normalized and associated with love. Tracy described how unremarkable experiences of violence were, which foreshadowed later relationships:

I was beaten as a child by my father. My mother beat my sister. Never ever hit me. Sides get picked, you get her I get her. And I thought it was how someone showed that they loved you, you know? … I had my nose broken. First my dad. And then boyfriends. There was a competition going on. It becomes a way of life I guess (Tracy).

Early experiences of lack of informal support of parents and extended family; resources that are normative and critical to healthy child development and achievement even into early adulthood [64 (link)] impact these women throughout their lives. Experiencing early trauma, including emotional, physical, and sexual abuse, neglect, parental mental ill-health and/or substance abuse, are all particular risk factors associated with unresolved trauma and long-term homelessness in adulthood [65 (link)].

McGrath J., Crossley S., Lhussier M, & Forster N. (2023). Social capital and women’s narratives of homelessness and multiple exclusion in northern England. International Journal for Equity in Health, 22, 41.

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Publication 2023

Abuse, Physical Alcoholics Catabolism Child Child Development Children's Health Drug Abuse Emotions Extended Family Feelings Life Experiences Mental Health Mothers Nose Parent Pharmaceutical Preparations Physical Examination Safety Sexual Abuse Sound Substance Abuse Woman Wounds and Injuries

Exploring Homelessness Among Women: A Grounded Theory Approach

All interviews were audio-recorded and afterwards transcribed by the lead researcher to increase familiarity with the data. After checking the transcripts for transcription errors, meaning was constructed into the data using a grounded theory approach. Transcripts were explored by the lead researcher for pertinent themes and discussed with the research team.The data were labelled line by line using open coding as we asked, “what is this an example of?” Open coding was used to identify basic themes relating to women’s experiences (see Table 2) and decision-making processes in relation to homelessness across the 20 interviews. Concepts such as trauma, interpersonal violence, and child removal. Were grouped under category labels. Each category was considered in terms of its characteristics and as differences and similarities emerged, we collapsed our initial collection of concepts into a code list of important concepts. It was at this stage that the centrality of networks and resources, and thus social capital, in the discussion became apparent. Interview transcripts were then re-examined to identify broader themes (or forms) of agency under which certain basic themes could be grouped.Table 2

Number of participants who identified different experiences (n = 16)

	identified	disagreed	not addressed
Habitus of instability
Early trauma	88% (14/16)		12% (2/16)
Care experienced	69% (11/16)	31% (5/16)
Homeless before age 21	63% (10/16)	31% (5/16)	6% (1/16)
Hidden homelessness
Significant trauma whilst homeless	56% (9/16)		44% (7/16)
Domestic abuse
Experienced physical abuse	88% (14/16)	6% (1/16)	6% (1/16)
Experienced emotional abuse	88% (14/16)		12% (2/16)

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Publication 2023

Child Drug Abuse Emotions Interpersonal Violence Persons, Homeless Physical Examination Transcription, Genetic Woman Wounds and Injuries

Top products related to «Emotions»

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Somatom emotion 16 by Siemens

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The Somatom Emotion 16 is a 16-slice computed tomography (CT) scanner manufactured by Siemens. It is designed for high-quality imaging and efficient workflow in various clinical settings. The scanner features a 16-row detector array and can perform fast volume scans with a rotation time of 0.5 seconds.

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What are the different types of emotions?

How can PubCompare.ai help with emotions research?

PubCompare.ai allows you to screen protocol literature more efficiently and leverage AI to pinpoint critical insights. The platform's AI-driven analysis can help researchers identify the most effective protocols related to Emotions for their specific research goals. By highlighting key differences in protocol effectiveness, PubCompare.ai enables you to choose the best option for reproducibility and accuracy in your emotions studies.

What are the practical applications of emotions research?

Accurate measurement and analysis of emotional responses are vital for advancing emotions research and developing effective interventions. Understanding the impact of emotions on individual well-being, social interactions, and overall health is essential for fields like psychology, neuroscince, and affective computing. Reserach in this area can lead to improved strategies for enhancing human cognition, perception, and decision-making.

How do emotions influence human behavior and decision-making?

More about "Emotions"

Feelings, Affect, Affective Experiences, Emotional Processes, Sentiment, Mood, Emotive Responses, Emotional Reactions, Affective Neuroscience, Affective Computing, Psychophysiology, Neuropsychology, Emotional Intelligence, Emotion Regulation, Emotional Perception, Emotional Expression, Emotional Awareness, Emotional Competence, Emotional Intelligence, Emotional Wellbeing, Emotional Disorders, Emotional Health, Emotional Distress, Emotional Trauma, Emotional Resilience, Emotional Coping, Emotional Dysregulation, Emotional Sensitivity, Emotional Empathy, Emotional Contagion, Emotional Engagement, Emotional Attunement, Emotional Responsiveness, Emotional Expressiveness, Emotional Suppression, Emotion-focused Therapy, Cognitive-Behavioral Therapy, Mindfulness-based Interventions, Biofeedback, Psychophysiological Monitoring, Affective Neurofeedback, Emotion Recognition, Emotion Classification, Emotion Prediction, Emotion Modeling, Emotion Synthesis, Emotion Visualization, Emotional AI, Emotional Analytics, Emotional Data, Emotional Signals, Emotional Patterns, Emotional Profiles, Emotional Dynamics, Emotional Fluctuations, Emotional Episodes, Emotional Trajectories, Emotional Phenotypes, Emotional Biomarkers, Emotional Signatures, Emotional Fingerprints, Emotional Footprints, Emotional Footprint Analysis, Emotional Big Data, Emotional Time Series, Emotional Forecasting, Emotional Risk Assessment, Emotional Intervention, Emotional Optimization, Emotional Tailoring, Emotional Personalization, Emotional Adapatation, Emotional Regulation, Emotional Reactivity, Emotional Stability, Emotional Resilience, Emotional Maturity, Emotional Intelligence, Emotional Competence, Emotional Awareness, Emotional Self-Awareness, Emotional Self-Regulation, Emotional Self-Management, Emotional Self-Control, Emotional Self-Motivation, Emotional Empathy, Emotional Perspective-Taking, Emotional Contagion, Emotional Attunement, Emotional Communication, Emotional Expression, Emotional Transparency, Emotional Sharing, Emotional Connection, Emotional Bonding, Emotional Attachment, Emotional Support, Emotional Validation, Emotional Intimacy, Emotional Reciprocity, Emotional Synchrony, Emotional Mirroring, Emotional Co-Regulation, Emotional Dynamics, Emotional Co-Occurrence, Emotional Concordance, Emotional Coherence, Emotional Flexibility, Emotional Adaptability, Emotional Complexity, Emotional Diversity, Emotional Granularity, Emotional Differentiation, Emotional Clustering, Emotional Profiling, Emotional Phenotyping, Emotional Fingerprinting, Emotional Big Data Analytics, Emotional Time Series Analysis, Emotional Forecasting and Prediction, Emotional Risk Assessment and Mitigation, Emotional Intervention and Optimization, Emotional Personalization and Tailoring, Emotional Regulation and Reactivity, Emotional Stability and Resilience, Emotional Intelligence and Competence, Emotional Awareness and Self-Awareness, Emotional Self-Regulation and Self-Management, Emotional Empathy and Perspective-Taking, Emotional Communication and Expression, Emotional Connection and Bonding, Emotional Support and Validation, Emotional Dynamics and Co-Regulation, Emotional Complexity and Diversity, Emotional Profiling and Fingerprinting, Emotional Big Data Analytics and Forecasting.