The association between adverse childhood experiences and personality,emotions and affect: Does number and type of experiences matter?

BackgroundThere is strong evidence that adverse childhood experiences (ACEs) negatively impact mental health. However, the association between ACEs and personality, emotions and affect are poorly understood. Therefore, we examined the association between composite ACE score and ACE type and personality, emotions and positive and negative affect.MethodsThree waves of data from the Midlife Development in the United States (MIDUS) study were used. ACE was the primary independent correlate. Covariates included demographic variables and survey wave. Outcome variables included generativity, personality traits (agreeableness, conscientiousness, extraversion, neuroticism, openness, agency), and affect (positive, negative). Statistical analyses included 3 approaches: (1) treatment of ACE as dichotomous, (2) ordinal composite of ACE score, and (3) three individual ACE type components to assess the association between ACE and psychological constructs.ResultsOf 6323 adults in the sample, 53% were female, and 56% had a past ACE. In the adjusted analyses, dichotomized ACE was significantly associated with neuroticism (β = 0.10; 95% CI 0.07, 0.13) and conscientiousness (β = −0.03; 95% CI −0.05, −0.01). All ACE scores were significantly and positively associated with neuroticism and negatively associated with conscientiousness. Abuse was significantly associated with neuroticism (β = 0.20; 95% CI 0.16, 0.24), openness (β = 0.08; 95% CI 0.05, 0.11), conscientiousness (β = −0.05; 95% CI −0.08, −0.02), and agency (β = 0.06; 95% CI 0.02, 0.10). All ACE categories, except financial strain, were significantly associated with affect.ConclusionACEs are significantly associated with personality, emotions, and affect, with greater effect seen at higher ACE scores and with ACE abuse type, which helps support the cumulative risk hypothesis and our study hypothesis. There is a need for continued research to understand the mechanistic processes and the directionality of the association between ACEs, emotions, and behaviors to help continue to drive biopsychosocial interventions.     

A Social Network Analysis of Friendship and Spiritual Support in a Religious Congregation

Religious congregations are social settings where people gather together in community to pursue the sacred (Pargament, 2008). Such settings are important to understand as they provide a context for individuals to develop relationships, share ideas and resources, and connect individuals to larger society (Todd, 2017a). Yet, research to date has not deeply examined the inherently relational nature of religious congregations. Thus, in this study, we used social settings theory (Seidman, 2012; Tseng & Seidman, 2007) to develop and test hypotheses about relationships within one Christian religious congregation. In particular, we used social network analysis to test hypotheses about relational activity, popularity, and homophily for friendship and spiritual support types of relational links. Our findings demonstrate how relational patterns may be linked to participation in congregational activities, occupying a leadership role, a sense of community and spiritual satisfaction, stratification, socialization, and spiritual support. Overall, this advances theory and research on the relational aspects of religious congregations, and more broadly to the literature on social settings. Limitations, directions for future research, and implications for theory and religious congregations also are discussed.     

Eighteen-month-olds integrate verbal cues into their action processing: Evidence from ERPs and mu power

Behavioral research has shown that infants use both behavioral cues and verbal cues when processing the goals of others’ actions. For instance, 18-month-olds selectively imitate an observed goal-directed action depending on its (in)congruence with a model’s previous verbal announcement of a desired action goal. This EEG-study analyzed the electrophysiological underpinnings of these behavioral findings on the two functional levels of conceptual action processing and motor activation. Mid-latency mean negative ERP amplitude and mu-frequency band power were analyzed while 18-month-olds (N = 38) watched videos of an adult who performed one out of two potential actions on a novel object. In a within-subjects design, the action demonstration was preceded by either a congruent or an incongruent verbally announced action goal (e.g., “up” or “down” and upward movement). Overall, ERP negativity did not differ between conditions, but a closer inspection revealed that in two subgroups, about half of the infants showed a broadly distributed increased mid-latency ERP negativity (indicating enhanced conceptual action processing) for either the congruent or the incongruent stimuli, respectively. As expected, mu power at sensorimotor sites was reduced (indicating enhanced motor activation) for congruent relative to incongruent stimuli in the entire sample. Both EEG correlates were related to infants’ language skills. Hence, 18-month-olds integrate action-goal-related verbal cues into their processing of others’ actions, at the functional levels of both conceptual processing and motor activation. Further, cue integration when inferring others’ action goals is related to infants’ language proficiency.     

Sense of agency: Sensorimotor signals and social context are differentially weighed at implicit and explicit levels

Sense of agency (SoA) describes the experience of being the author of an action. Cue integration approaches divide SoA into an implicit level, mostly relying on prospective sensorimotor signals, and an explicit level, resulting from an integration of sensorimotor and contextual cues based on their reliability. Integration mechanisms at each level and the contribution of implicit to explicit SoA remain underspecified. In a task of movements with visual outcomes, we tested the effect of social context (contextual cue) and sensory prediction congruency (retrospective sensorimotor cue) over implicit (intentional binding) and explicit (verbal judgments) SoA. Our results suggest that prospective sensorimotor cues determine implicit SoA. At the explicit level, retrospective sensorimotor cues and contextual cues are partly integrated in an additive way, but contextual cues can also act as a heuristic if sensorimotor cues are highly unreliable. We also found no significant association between implicit and explicit SoA.     

Exploring emotions in dialog between health provider,parent and child. An observational study in pediatric primary care

IntroductionThis paper is part of the theoretical thread of health psychology and it presents a study aimed to recognize information useful to implement psychological interventions finalized to personalize medical treatments and engage users in pediatrics.ObjectiveIn this paper is presented an observational study aimed to explore doctor-patient dialog about worries in pediatric primary care; it has been carried out identifying dialogical interaction patterns, or typical dialog between health providers, parent and child.MethodWe documented conversations in 265 visits; we audio-recordered, transcribed and analyzed them with Verona Coding Definitions of Emotional Sequences. Dialogs between participants were analyzed one by one. Frequencies of emotions’ signals (cues/concerns) and responses were analyzed through Redundancy Analysis, aimed to establish a quantitative relationship between these pair of groups of variables considering the asymmetrical relationship between them.ResultsSix “Dialogical Interaction Patterns” were obtained by interpreting these relationships; they show dialogs mainly aimed at obtaining information useful for diagnosis and treatment, with a limited exploration of worries or issues related to the condition of the child. Pediatric conversations seem to be characterized by a very high attention to cognitive aspects of medical questions with a poor consideration of emotions as useful information to medical practice.ConclusionsThese dialogs seem to ensure the rapidity and the efficiency of medical visits. Nevertheless, it could be useful to implement psychological interventions to achieve an enrichment of the dialog between participants, helping them to recognize users’ emotions as useful to define shared medical strategies.     

Education biases perception of social robots

IntroductionRecent research on human–robot interactions (HRI) emphasizes a role of user's attitudes in perceiving robot's with different robot embodiments of varying levels of human likenesses. However, other human factors such as educational background may also help understanding of what conditions contribute to enhance social perception of robot's features.ObjectivesThis study aimed to determine how people's attitudes towards and familiarization with robots influence social perception of particular features of robots.MethodFirst, we measured attitudes towards robots among undergraduate students with diverse educational background (engineering vs. psychology). Then, participants were presented with short movies showing the behaviour of three robots with different levels of sociability. Finally, participants evaluated the characteristics of these robots on a scale.ResultsPeople more familiar with social robots and with more positive attitudes towards them evaluate robots with human traits more highly.ConclusionHuman perception of social robots resembles social phenomena related to human perception of other people.     

La famille face aux violences extrafamiliales : émotions et victimisation dans la narration de parents et enfants en UMJ

The traumatic impact linked to the revelation of an assault, at the time of the announcement of the abuse, but also in the daily life of the family, disrupts the family system. This study aims to compare the perception of the parent and his child when the child has been the victim of a sexual, psychological and/or physical extra-family assault, particularly around emotions, guilt and the victimization experience. The exploratory research approach is through the qualitative analysis of the content of interviews conducted with parents and children received by the Medico-Judiciary Unit (UMJ) and the Youth Victims Reception Unit. (UAJV). Our results show the presence of a strong emotional state in parents that results in anger, as well as a difficulty in naming emotions in their children. Children have difficulty to express their emotions, but everyday life seems less difficult than parents. Despite the limitations due to the small sample and the conditions for data collection, recommendations for clinical treatment of families are proposed.     

FNDNet – A deep convolutional neural network for fake news detection

With the increasing popularity of social media and web-based forums, the distribution of fake news has become a major threat to various sectors and agencies. This has abated trust in the media, leaving readers in a state of perplexity. There exists an enormous assemblage of research on the theme of Artificial Intelligence (AI) strategies for fake news detection. In the past, much of the focus has been given on classifying online reviews and freely accessible online social networking-based posts. In this work, we propose a deep convolutional neural network (FNDNet) for fake news detection. Instead of relying on hand-crafted features, our model (FNDNet) is designed to automatically learn the discriminatory features for fake news classification through multiple hidden layers built in the deep neural network. We create a deep Convolutional Neural Network (CNN) to extract several features at each layer. We compare the performance of the proposed approach with several baseline models. Benchmarked datasets were used to train and test the model, and the proposed model achieved state-of-the-art results with an accuracy of 98.36% on the test data. Various performance evaluation parameters such as Wilcoxon, false positive, true negative, precision, recall, F1, and accuracy, etc. were used to validate the results. These results demonstrate significant improvements in the area of fake news detection as compared to existing state-of-the-art results and affirm the potential of our approach for classifying fake news on social media. This research will assist researchers in broadening the understanding of the applicability of CNN-based deep models for fake news detection.     

Daily relations between social perceptions and physical activity among college women

ObjectivesThere is a need to develop more effective physical activity (PA) promotion programs for college women. Theory and evidence suggest that perceptions of the social environment play a role in college women’s PA, though little is known about how these perceptions are associated with PA at the day level. The goal of this study was to examine relations between changes in college women’s daily social perceptions and objectively assessed PA over seven days.DesignDaily diary method.MethodCollege women (n = 80, M_Age = 20, M_BMI = 23.1 kg/m²) wore Fitbit wristbands and completed daily self-reports of (1) the quantity and perceived intensity of their social interactions (positive/negative), and (2) the occurrence of social comparisons (based on appearance/health/status) for seven days.ResultsMultilevel models showed daily variability in predictors and outcomes (ps < 0.0001), as well as relations between within-person changes in social perceptions and PA. Increases in negative interactions (particularly those with friends) were consistently associated with decreases in daily PA, whereas increases in positive interactions showed limited relations (srs = −0.22-0.34). Days with health comparisons were days with greater PA for women who had stronger overall interest in comparisons, but were days with less PA for women with weaker overall interest (srs = 0.22–0.33). PA did not differ between days with vs. without appearance comparisons.ConclusionsSocial perceptions show meaningful day-to-day variability and relations with college women’s daily PA, and specific associations may be useful for improving tailored interventions for college women.