Displaying publications 1 - 20 of 319 in total

Abstract:
Sort:
  1. Adolfo CS, Albougami ASB, Roque MY, Aruta JJBR, Almazan JU
    Nurs Forum, 2022 Nov;57(6):1452-1464.
    PMID: 35962773 DOI: 10.1111/nuf.12785
    BACKGROUND: Older adults are one of the most vulnerable populations requiring scientific, psychological, and clinical attention. Although several studies have explored psychoemotional needs in later life, one critical gap in the literature is a shortage of studies comprehensively reviewing negative emotional experiences and their antecedents associated with later life.

    AIM: This integrative review aims to identify negative emotional experiences during older adult years.

    METHODS: This review of articles from Medline, CINAHL, Science Direct, Web of Science, ProQuest, and Taylor and Francis synthesized negative emotional experiences during older adult years. Across these six electronic databases, we searched and identified 17 relevant articles from 2005 to 2020 containing quantitative, qualitative, and mixed-method studies.

    RESULTS: Based on the review, we identified five negative emotions (sadness, anxiety, frustration, anger, and loneliness). These negative emotions were rooted in marital problems, separation from families, medical problems, physical functioning and disability, and financial limitations. Additionally, we identified common antecedents of negative emotions.

    CONCLUSION: At the center of numerous interventions, older adults are reinvigorated to understand the antecedents of negative emotions. The complex array of emotions, specifically regrets and frustration in later life, is depicted by more negativity than positivity. Such array of emotions could help develop strategies to prevent the causes of regret and frustration that nurses see when working with older adults in a clinical practice setting.

    Matched MeSH terms: Emotions*
  2. Wong KP, Lee FCH, Teh PL, Chan AHS
    PMID: 33923234 DOI: 10.3390/ijerph18094525
    Today's workers are struggling to achieve a balance between their work and personal life roles because of both specific needs and limited resources. This study explored the socioecological factors that influence work-life balance (WLB) and how they operate. The relationships between WLB, subjective wellbeing, employee wellbeing and quality time allocation were examined. A total of 1063 responses were received, using an online survey. The results show that relational, community and societal factors directly influenced the individual factors and were indirectly associated with perceived WLB. Individual factors (i.e., personal feelings, behaviours and health) were found to be the crucial determinants of an individual's perceived WLB. It was found that WLB positively correlated with employee wellbeing and quality and quantity of personal life-time. Subjective wellbeing was found to be a significant moderator in the relationship between WLB and its outcomes. This study demonstrated the process of how workers determine their own WLB by applying the socioecological framework for categorising the determinants and suggested new avenues that improve the whole wellbeing of workers and also foster long-term development of organisations.
    Matched MeSH terms: Emotions*
  3. Anwar A, Kee DMH, Ahmed A
    Cyberpsychol Behav Soc Netw, 2020 May;23(5):290-296.
    PMID: 32282237 DOI: 10.1089/cyber.2019.0407
    Workplace cyberbullying (WCB) is a new form of hostility in organizations in which information technology is used as a means to bully employees. The objective of this study is to determine the association between WCB and the interpersonal deviance (ID) of victims through parallel mediation through the ineffectual silence of employees and emotional exhaustion (EE). Conservation of resource (COR) theory and affective events theory were used as the study's guiding framework, and data were drawn from 351 white-collar employees who were employed in a variety of industries-such as banking, telecommunications sector, education, health care, insurance, and consultancy-in Lahore, Pakistan. The results show that ineffectual silence negatively mediated the relationship between cyberbullying and deviance, decreasing the level of deviance of employees who used silence as a coping mechanism. EE, however, positively mediated the relationship between cyberbullying and deviance. This means that when employees felt emotionally overwhelmed they retaliated by engaging in deviant behaviors and acting as a bully toward colleagues. Drawing on the COR theory and the affective events theory, the findings show that WCB has an impact on ID. From a practical standpoint, the study reveals that WCB can lead to ID and it also may associate with large financial costs and workplace disruptions. Thus, organizations should establish a culture that prevent employees from engaging in WCB and adopt practices of prevention and intervention because it is not only harmful to the employees but also to the organization.
    Matched MeSH terms: Emotions*
  4. Kawai C, Zhang Y, Lukács G, Chu W, Zheng C, Gao C, et al.
    Psychol Res, 2023 Apr;87(3):704-724.
    PMID: 35838836 DOI: 10.1007/s00426-022-01697-5
    Cultural differences-as well as similarities-have been found in explicit color-emotion associations between Chinese and Western populations. However, implicit associations in a cross-cultural context remain an understudied topic, despite their sensitivity to more implicit knowledge. Moreover, they can be used to study color systems-that is, emotional associations with one color in the context of an opposed one. Therefore, we tested the influence of two different color oppositions on affective stimulus categorization: red versus green and red versus white, in two experiments. In Experiment 1, stimuli comprised positive and negative words, and participants from the West (Austria/Germany), and the East (Mainland China, Macau) were tested in their native languages. The Western group showed a significantly stronger color-valence interaction effect than the Mainland Chinese (but not the Macanese) group for red-green but not for red-white opposition. To explore color-valence interaction effects independently of word stimulus differences between participant groups, we used affective silhouettes instead of words in Experiment 2. Again, the Western group showed a significantly stronger color-valence interaction than the Chinese group in red-green opposition, while effects in red-white opposition did not differ between cultural groups. Our findings complement those from explicit association research in an unexpected manner, where explicit measures showed similarities between cultures (associations for red and green), our results revealed differences and where explicit measures showed differences (associations with white), our results showed similarities, underlining the value of applying comprehensive measures in cross-cultural research on cross-modal associations.
    Matched MeSH terms: Emotions*
  5. Wang K, Goldenberg A, Dorison CA, Miller JK, Uusberg A, Lerner JS, et al.
    Nat Hum Behav, 2021 Aug;5(8):1089-1110.
    PMID: 34341554 DOI: 10.1038/s41562-021-01173-x
    The COVID-19 pandemic has increased negative emotions and decreased positive emotions globally. Left unchecked, these emotional changes might have a wide array of adverse impacts. To reduce negative emotions and increase positive emotions, we tested the effectiveness of reappraisal, an emotion-regulation strategy that modifies how one thinks about a situation. Participants from 87 countries and regions (n = 21,644) were randomly assigned to one of two brief reappraisal interventions (reconstrual or repurposing) or one of two control conditions (active or passive). Results revealed that both reappraisal interventions (vesus both control conditions) consistently reduced negative emotions and increased positive emotions across different measures. Reconstrual and repurposing interventions had similar effects. Importantly, planned exploratory analyses indicated that reappraisal interventions did not reduce intentions to practice preventive health behaviours. The findings demonstrate the viability of creating scalable, low-cost interventions for use around the world. PROTOCOL REGISTRATION: The stage 1 protocol for this Registered Report was accepted in principle on 12 May 2020. The protocol, as accepted by the journal, can be found at https://doi.org/10.6084/m9.figshare.c.4878591.v1.
    Matched MeSH terms: Emotions*
  6. Al Qudah M, Mohamed A, Lutfi S
    Sensors (Basel), 2023 Mar 27;23(7).
    PMID: 37050571 DOI: 10.3390/s23073513
    Several studies have been conducted using both visual and thermal facial images to identify human affective states. Despite the advantages of thermal facial images in recognizing spontaneous human affects, few studies have focused on facial occlusion challenges in thermal images, particularly eyeglasses and facial hair occlusion. As a result, three classification models are proposed in this paper to address the problem of thermal occlusion in facial images, with six basic spontaneous emotions being classified. The first proposed model in this paper is based on six main facial regions, including the forehead, tip of the nose, cheeks, mouth, and chin. The second model deconstructs the six main facial regions into multiple subregions to investigate the efficacy of subregions in recognizing the human affective state. The third proposed model in this paper uses selected facial subregions, free of eyeglasses and facial hair (beard, mustaches). Nine statistical features on apex and onset thermal images are implemented. Furthermore, four feature selection techniques with two classification algorithms are proposed for a further investigation. According to the comparative analysis presented in this paper, the results obtained from the three proposed modalities were promising and comparable to those of other studies.
    Matched MeSH terms: Emotions*
  7. Muthusamy H, Polat K, Yaacob S
    PLoS One, 2015;10(3):e0120344.
    PMID: 25799141 DOI: 10.1371/journal.pone.0120344
    In the recent years, many research works have been published using speech related features for speech emotion recognition, however, recent studies show that there is a strong correlation between emotional states and glottal features. In this work, Mel-frequency cepstralcoefficients (MFCCs), linear predictive cepstral coefficients (LPCCs), perceptual linear predictive (PLP) features, gammatone filter outputs, timbral texture features, stationary wavelet transform based timbral texture features and relative wavelet packet energy and entropy features were extracted from the emotional speech (ES) signals and its glottal waveforms(GW). Particle swarm optimization based clustering (PSOC) and wrapper based particle swarm optimization (WPSO) were proposed to enhance the discerning ability of the features and to select the discriminating features respectively. Three different emotional speech databases were utilized to gauge the proposed method. Extreme learning machine (ELM) was employed to classify the different types of emotions. Different experiments were conducted and the results show that the proposed method significantly improves the speech emotion recognition performance compared to previous works published in the literature.
    Matched MeSH terms: Emotions*
  8. Idris Z, Zakaria Z, Fitzrol DN, Ang SY, Yee SV, Ghani ARI, et al.
    Oper Neurosurg (Hagerstown), 2021 03 15;20(4):E281-E283.
    PMID: 33475706 DOI: 10.1093/ons/opaa473
    Matched MeSH terms: Emotions
  9. Kartini Abdul Ghani, Lau, Choon Ning
    MyJurnal
    Eyewitnesses typically talk about the traumatic events that they have experienced based on their memory. This research aimed to investigate differences between emotional and factual retelling of eyewitness in terms of memory accuracy and error. Participants watched a traumatic robbery video and were instructed to recall the events in detail. Participants were divided into three retelling conditions where they: a) discussed the robbery in a factual way, b) focused on discussing their emotional response, and c) performed unrelated tasks. Results showed that eyewitnesses who talked about their emotion recalled less detailed memories and made more errors in free recall while eyewitnesses who focused on factual detail seem to be able to maintain their memory accuracy of the event.
    Matched MeSH terms: Emotions
  10. Zhang B, Chandran Sandaran S, Feng J
    PLoS One, 2023;18(1):e0280190.
    PMID: 36696455 DOI: 10.1371/journal.pone.0280190
    Recently, ecological damage and environmental pollution have become increasingly serious. Experts in various fields have started to study related issues from diverse points of view. To prevent the accelerated deterioration of the ecological environment, ecolinguistics emerged. Eco-critical discourse analysis is one of the important parts of ecolinguistics research, that is, it is a critical discourse analysis of the use of language from the perspective of the language's ecological environment. Firstly, an ecological tone and modality system are constructed from an ecological perspective. Under the guidance of the ecological philosophy of "equality, harmony, and symbiosis", this study conducts an ecological discourse analysis on the Sino-US trade friction reports, aiming to present the similarities and differences between the two newspapers' trade friction discourses and to reveal the ecological significance of international ecological factors in the discourse. Secondly, this method establishes a vector expression of abstract words based on emotion dictionary resources and introduces emotion polarity and part-of-speech features of words. Then the word vector is formed into the text feature matrix, which is used as the input of the Convolutional Neural Network (CNN) model, and the Back Propagation algorithm is adopted to train the model. Finally, in the light of the trained CNN model, the unlabeled news is predicted, and the experimental results are analyzed. The results reveal that during the training process of Chinese and English datasets, the accuracy of the training set can reach nearly 100%, and the loss rate can be reduced to 0. On the test set, the classification accuracy of Chinese text can reach 83%, while that of English text can reach 90%, and the experimental results are ideal. This study provides an explanatory approach for ecological discourse analysis on the news reports of Sino-US trade frictions and has certain guiding significance for the comparative research on political news reports under different ideologies between China and the United States.
    Matched MeSH terms: Emotions
  11. Tan CM, Owuamalam C, Sarma VJ, Ng PK
    Stress Health, 2023 Oct;39(4):744-752.
    PMID: 36574671 DOI: 10.1002/smi.3216
    Previous research has demonstrated that becoming vaccinated with the Coronavirus vaccine may lower mental distress. However, it remains uncertain whether this relationship holds amid concerns of vaccine side effects and doubts of the vaccine's protective capabilities. We presented three studies that showed how vaccine confidence negatively influences the relationship between vaccine uptake and mental distress. Using two-way fixed effects regression models, Study 1 analyzes longitudinal survey of respondents from Los Angeles County in the US, while Study 2 uses the same analytical strategy but generalises findings by analysing longitudinal data of participants across all 50 US states. Main results of both studies show that (i) vaccination uptake is linked with reduced mental distress among individuals with high vaccine confidence (ii) vaccine uptake has no effect on mental distress among individuals with low vaccine confidence. Lastly, Study 3 applies multilevel analysis to a large-scale pseudo-panel study of 15 developed countries. Results for the third study corroborate finding (i) but not (ii) in that the multinational study finds that vaccine uptake is actually associated with higher mental distress among individuals with low vaccine confidence. In sum, our paper shows that the palliative effect of vaccination on mental health only exists when vaccine confidence is high. Results are mixed on whether vaccination affects mental distress when individual vaccine confidence is low.
    Matched MeSH terms: Emotions
  12. Sun R, Balabanova A, Bajada CJ, Liu Y, Kriuchok M, Voolma SR, et al.
    Emotion, 2024 Mar;24(2):397-411.
    PMID: 37616109 DOI: 10.1037/emo0001235
    The COVID-19 pandemic presents challenges to psychological well-being, but how can we predict when people suffer or cope during sustained stress? Here, we test the prediction that specific types of momentary emotional experiences are differently linked to psychological well-being during the pandemic. Study 1 used survey data collected from 24,221 participants in 51 countries during the COVID-19 outbreak. We show that, across countries, well-being is linked to individuals' recent emotional experiences, including calm, hope, anxiety, loneliness, and sadness. Consistent results are found in two age, sex, and ethnicity-representative samples in the United Kingdom (n = 971) and the United States (n = 961) with preregistered analyses (Study 2). A prospective 30-day daily diary study conducted in the United Kingdom (n = 110) confirms the key role of these five emotions and demonstrates that emotional experiences precede changes in well-being (Study 3). Our findings highlight differential relationships between specific types of momentary emotional experiences and well-being and point to the cultivation of calm and hope as candidate routes for well-being interventions during periods of sustained stress. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
    Matched MeSH terms: Emotions
  13. Schouteten JJ, Llobell F, Chheang SL, Jin D, Jaeger SR
    J Food Sci, 2023 Mar;88(S1):106-121.
    PMID: 36413025 DOI: 10.1111/1750-3841.16374
    In line with the increasing popularity of emoji, the need for methodological research into these pictorial representations of emotion remains. The present research contributes to this goal by continuing to establish the meaning of emoji and exploring these according to between-country and interpersonal differences. The emoji (n = 12) were selected to span the valence × arousal emotion space, and the PAD model (Pleasure-Arousal-Dominance) was used to establish emoji meaning for the three dimensions, operationalized as measurement on 6 × 3 semantic differentials. Participants in the main study came from three countries-Germany, Singapore, and Malaysia (n = 2465), and a supplementary study included the United Kingdom and New Zealand (n = 600) (subset of four emoji). The results confirmed that emoji meanings according to the PAD model were largely similar between countries (albeit not identical). There were multiple minor significant differences for individual emoji, and where these existed, they often related to the dimension of Arousal, prompting a need for further investigation. Interpersonal differences were examined for gender (men and women), age group (18-45 and 46-69 years old), and frequency of emoji use. Again, significant differences were smaller rather than larger and supported the notion that emoji are generally applicable for multicountry research. However, caution regarding the participants who use emoji infrequently may be warranted. PRACTICAL APPLICATION: The findings from this research will help academics and practitioners who are interested in using emoji for sensory and consumer research (or are already doing so) with more robust interpretations of their findings. For a set of 12 emoji that provide broad coverage of the valence × arousal emotional space, meanings are provided on the three dimensions of the PAD model. The data is collected in five countries and contributes to increased confidence that emoji meanings are by and large similar in these countries.
    Matched MeSH terms: Emotions*
  14. Motevalli S, Salahshour HM, Bailey RP
    J Affect Disord, 2023 Oct 15;339:676-682.
    PMID: 37479040 DOI: 10.1016/j.jad.2023.07.043
    INTRODUCTION: This study aimed to examine the mediating role of cognitive flexibility in the relationship between cognitive emotion regulation strategies and mindfulness in patients with type 2 diabetes.

    METHODS: The research was conducted by correlation method) using Structural Equation Modeling). The statistical population consisted of all women and men with type 2 diabetes. Two hundred fifty-three samples were selected by convenience sampling method. The participants responded to the Cognitive Emotion Regulation Questionnaire, the Kentucky inventory of mindfulness skills, and the Cognitive Flexibility Inventory.

    RESULTS: The results showed that the total path coefficient between the adaptive cognitive emotion regulation strategies and mindfulness (β = 0.243, P = 0.005) was positive and significant, and the total path coefficient between the maladaptive cognitive emotion regulation strategies and mindfulness (β = -0.453, P = 0.001) was negative and significant. The path coefficient between cognitive flexibility and mindfulness (β = 0.273, P = 0.009) was positive and significant. The indirect path coefficient between the adaptive cognitive emotion regulation strategies and mindfulness (β = 0.094, P = 0.007) was positive and significant, and the indirect path coefficient between the maladaptive cognitive emotion regulation strategies and mindfulness (β = -0.117, P = 0.009) was negative and significant.

    CONCLUSION: Improving emotion regulation skills increases cognitive flexibility and mindfulness in patients with type 2 diabetes.

    Matched MeSH terms: Emotions/physiology
  15. Barlow M, Watson B, Morse K, Jones E, Maccallum F
    J Health Organ Manag, 2023 Sep 26;ahead-of-print(ahead-of-print).
    PMID: 37749761 DOI: 10.1108/JHOM-06-2023-0171
    PURPOSE: The response of the receiver to a voiced patient safety concern is frequently cited as a barrier to health professionals speaking up. The authors describe a novel Receiver Mindset Framework (RMF) to help health professionals understand the importance of their response when spoken up to.

    DESIGN/METHODOLOGY/APPROACH: The framework draws on the broader receiver-focussed literature and integrates innovative findings from a series of empirical studies. These studies examined different receiver behaviour within vignettes, retrospective descriptions of real interactions and behaviour in a simulated interaction.

    FINDINGS: The authors' findings indicated that speaking up is an intergroup interaction where social identities, context and speaker stance intersect, directly influencing both perceptions of and responses to the message. The authors' studies demonstrated that when spoken up to, health professionals poorly manage their emotions and ineffectively clarify the speaker's concerns. Currently, targeted training for receivers is overwhelmingly absent from speaking-up programmes. The receiver mindset framework provides an evidence-based, healthcare specific, receiver-focussed framework to inform programmes.

    ORIGINALITY/VALUE: Grounded in communication accommodation theory (CAT), the resulting framework shifts speaking up training from being only speaker skill focussed, to training that recognises speaking up as a mutual negotiation between the healthcare speaker and receiver. This framework provides healthcare professionals with a novel approach to use in response to speaking up that enhances their ability to listen, understand and engage in point-of-care negotiations to ensure the physical and psychological safety of patients and staff.

    Matched MeSH terms: Emotions*
  16. Lim JZ, Mountstephens J, Teo J
    Sensors (Basel), 2020 Apr 22;20(8).
    PMID: 32331327 DOI: 10.3390/s20082384
    The ability to detect users' emotions for the purpose of emotion engineering is currently one of the main endeavors of machine learning in affective computing. Among the more common approaches to emotion detection are methods that rely on electroencephalography (EEG), facial image processing and speech inflections. Although eye-tracking is fast in becoming one of the most commonly used sensor modalities in affective computing, it is still a relatively new approach for emotion detection, especially when it is used exclusively. In this survey paper, we present a review on emotion recognition using eye-tracking technology, including a brief introductory background on emotion modeling, eye-tracking devices and approaches, emotion stimulation methods, the emotional-relevant features extractable from eye-tracking data, and most importantly, a categorical summary and taxonomy of the current literature which relates to emotion recognition using eye-tracking. This review concludes with a discussion on the current open research problems and prospective future research directions that will be beneficial for expanding the body of knowledge in emotion detection using eye-tracking as the primary sensor modality.
    Matched MeSH terms: Emotions/physiology*
  17. Buratto LG, Pottage CL, Brown C, Morrison CM, Schaefer A
    PLoS One, 2014;9(10):e110211.
    PMID: 25330251 DOI: 10.1371/journal.pone.0110211
    Memory performance is usually impaired when participants have to encode information while performing a concurrent task. Recent studies using recall tasks have found that emotional items are more resistant to such cognitive depletion effects than non-emotional items. However, when recognition tasks are used, the same effect is more elusive as recent recognition studies have obtained contradictory results. In two experiments, we provide evidence that negative emotional content can reliably reduce the effects of cognitive depletion on recognition memory only if stimuli with high levels of emotional intensity are used. In particular, we found that recognition performance for realistic pictures was impaired by a secondary 3-back working memory task during encoding if stimuli were emotionally neutral or had moderate levels of negative emotionality. In contrast, when negative pictures with high levels of emotional intensity were used, the detrimental effects of the secondary task were significantly attenuated.
    Matched MeSH terms: Emotions*
  18. Allen RJ, Schaefer A, Falcon T
    Acta Psychol (Amst), 2014 Sep;151:237-43.
    PMID: 25086225 DOI: 10.1016/j.actpsy.2014.07.003
    The present article reports two experiments examining the impact of recollecting emotionally valenced autobiographical memories on subsequent working memory (WM) task performance. Experiment 1 found that negatively valenced recollection significantly disrupted performance on a supra-span spatial WM task. Experiment 2 replicated and extended these findings to a verbal WM task (digit recall), and found that both negative and positive autobiographical recollections had a detrimental effect on verbal WM. In addition, we observed that these disruptive effects were more apparent on early trials, immediately following autobiographical recollection. Overall, these findings show that both positive and negative affect can disrupt WM when the mood-eliciting context is based on autobiographical memories. Furthermore, these results indicate that the emotional disruption of WM can take place across different modalities of WM (verbal and visuo-spatial).
    Matched MeSH terms: Emotions*
  19. Yaacob H, Karim I, Wahab A, Kamaruddin N
    PMID: 23367309 DOI: 10.1109/EMBC.2012.6347374
    Emotions are ambiguous. Many techniques have been employed to perform emotion prediction and to understand emotional elicitations. Brain signals measured using electroencephalogram (EEG) are also used in studies about emotions. Using KDE as feature extraction technique and MLP for performing supervised learning on the brain signals. It has shown that all channels in EEG can capture emotional experience. In addition it was also indicated that emotions are dynamic as represented by the level of valence and the intensity of arousal. Such findings are useful in biomedical studies, especially in dealing with emotional disorders which can results in using a two-channel EEG device for neurofeedback applications.
    Matched MeSH terms: Emotions*
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links