Emotional State Research Articles

РОЛЬ КОЛЬОРУ В ОСМИСЛЕННІ ПІДЛІТКАМИ ВЛАСНОГО ЕМОЦІЙНОГО КОНТЕКСТУ ТА ЙОГО ЗМІН ПІД ВПЛИВОМ ПСИХОТРАВМУЮЧИХ ОБСТАВИН

The article deals with using art therapeutic technologies to comprehend adolescents’ emotional context. Fragments of psychoanalytic work using artistic and symbolic images are presented. The paper analyzes a set of thematic drawings covering various aspects of adolescents’ lives and attitudes towards themselves, others, and the world around them. The results of an experimental study are given. It is noted that the art therapy method contains the potential to actualize the strategy of creative activity and is based on the expressive arts that provide support for the individual. It has been found that using color in art therapy techniques corrects disorders of psychosomatic and psycho-emotional processes in personal development. The role of color in adolescents’ comprehension of their emotional context and its changes under the influence of psychotraumatic circumstances is considered. It is stated that the use of mandalas allows a teenager to delve into the unconscious levels of the psyche and ensure its balance and integrity under of the influence psychotraumatic circumstances It is proved that color not only affects an adolescent’s personality depending on his or her emotional state but also shapes emotions in a certain way. The art therapy method has been found to contribute to the subject’s reflexive comprehension of his/her emotional experiences embodied in artistic and symbolic forms

HUMAN INTERACTION AND EMOTIONAL POLYMORPHISM

Objective: The objective of this study is to explore the behavior of emotional polymorphism in individuals through the execution of basic tasks. Theoretical Framework: It was found that individuals exhibit various components or variants of emotions within an emotional state, influenced by various external factors classified as general and task-specific. In the first case, the emotional state was composed of Contextual Emotions (EmC), and in the second by Induced Emotions (EmI). Nevertheless, each state comprised a variety of emotional components, even with different valences reported by self-reporting individuals, which was termed Emotional Polymorphism (PEm). Method: A controlled experiment was designed where participants performed two basic tasks using controlled time work systems and perception. Additionally, semi-structured interviews were conducted through self-reporting, where participants were asked for statistical data as well as a description of their emotional valence. Results and Discussion: The results obtained revealed that there are variations in the emotional components (CEm) that make up each emotional polymorphism, considering an initial state comprised of EmC and a final response made up of EmI. Implications of the Research: Managing error through the study of the components that may amplify it can assist in improving the design of interfaces and work systems that are important in the daily lives of users, such as ATMs. Originality/Value: This study contributes to the literature by exploring the behavior of the components of Emotional states, as a result of contextual factors and specific tasks.

Development and validation of a risk prediction model for cognitive impairment in breast cancer patients.

Breast cancer patients often experience cognitive impairment as a complication during treatment, which seriously affects their quality of life. This study aimed to assess the risk factors associated with cognitive impairment in breast cancer patients and to construct and validate a nomogram model to predict cognitive impairment in this population. In this study, we used a convenience sampling method to select 423 breast cancer patients who attended the Department of Breast Surgery at the First Hospital of Jinzhou Medical University from September 2023 to March 2024. We analyzed these patients' cognitive impairment risk factors through LASSO regression and logistic regression analysis to develop a predictive model. The model was evaluated using the area under the curve (AUC) from the receiver operating characteristic (ROC) curve and the calibration curve and decision curve analysis. This study found a prevalence of cognitive impairment of 19.62% among breast cancer patients. A nomogram model was developed based on six influencing factors: age, educational level, pathological type, treatment program, emotional state, and fatigue. The area under the curve (AUC) for the model's training and validation groups was 0.944 and 0.931, respectively. The model calibration curves showed a high degree of consistency, and the decision curve analysis (DCA) indicated good clinical applicability of the model. This nomogram demonstrates good discrimination, calibration, and clinical applicability, making it a more intuitive predictor of the risk of cognitive impairment in breast cancer patients.

A Self-Efficacy Theory-Based Study on the Teachers’ Readiness to Teach Artificial Intelligence in Public Schools in Sri Lanka

Objectives . This article explores teacher readiness for introducing artificial intelligence (AI) into Sri Lankan schools, drawing on self-efficacy theory. Similar to some other countries, Sri Lanka plans to integrate AI into the school curriculum soon. However, a key question remains: Are teachers prepared to teach this advanced technical subject to schoolchildren? Assessing teacher readiness is crucial, as it is intricately linked to the overall success of this initiative and will inform the development of appropriate policies. Participants . This study surveyed over 1,300 Sri Lankan public school teachers who teach Information and Communication Technology (ICT) using the snowball sampling approach. The respondents represent approximately 20% of the total ICT teacher population in Sri Lanka. Their readiness to teach AI was assessed using a general teacher self-efficacy scale specifically developed based on the well-established Self-Efficacy Theory. While key demographic factors like gender, education level and educational background were also collected, their impact analysis is not included in this article. Study Method . The study was conducted based on the premise that teachers’ readiness to teach AI hinges on their self-efficacy towards teaching AI in the classroom. This premise was substantiated through a review of existing research, and a conceptual model of teachers’ self-efficacy for AI instruction was developed. To assess this model, a nationwide survey targeting school ICT teachers was conducted. The questionnaire used in the survey was based on existing research on evaluating teacher self-efficacy. Data analysis, focusing on testing and validating the conceptual model, primarily employed the PLS-SEM approach. Findings . This study identified several key findings: (1) Teachers generally reported low self-efficacy regarding their ability to teach AI; (2) Teachers’ self-efficacy was most influenced by their emotional and physiological states, as well as their imaginary experiences related to teaching AI; (3) Surprisingly, mastery experiences had a lesser impact on their self-efficacy for teaching AI; and (4) Neither vicarious experiences (observing others teach AI) nor verbal persuasion had a significant impact on teachers’ self-efficacy. Additionally, the study revealed that the teachers’ own level of expertise in AI, along with their social capital, is insufficient to deliver a standard AI curriculum. Conclusions . The analysis of the results found that Sri Lankan teachers currently lack the readiness to teach AI in schools effectively. Potential lapses in certain sources of self-efficacy were also identified. It further revealed the need for a more systemic approach to teacher professional development. Therefore, the study recommends further research exploring the potential of incorporating a socio-technical systems perspective into the government’s teacher training initiatives.

Effects on personal and cultural wellbeing of attending free community outreach concerts given by a professional orchestra

Despite hundreds of investigations into the benefits of arts engagement for health and wellbeing, much of what we know comes from research in clinical settings, and little is understood about the positive effects of attending live musical performances. As many professional orchestras have begun re-examining their purpose and mission statements, they also seek ways to measure their impact beyond ticket sales and donations in hopes of highlighting positive effects on concertgoers and their community. The purpose of this study was to explore the impacts of a free community outreach concert series provided by a professional orchestra on individual and community wellbeing in a large city in the United States. The researchers conducted semi-structured interviews, paired interviews, and a focus group with 18 participants between the ages of 18 and 77 years. Abductive analysis allowed us to consider emerging themes and pre-existing theories of wellbeing concurrently. The results showed three primary areas of impact on concert attendees’ wellbeing: emotional, social, and cultural. Concert attendance fostered positive emotional states and reduced negative emotions, led to personal feelings of connection with the orchestra and across the community, and contributed to personal- and local-cultural wellbeing. In addition to reinforcing much of the prior scholarship on the effects on wellbeing of arts participation, particularly in the emotional and social domains, the results highlight new possible connections between community outreach programs and increased cultural wellbeing.

Burnout during the COVID-19 pandemic in caring professions: The case of social work

The relationship between burnout and telework was analysed to find out how COVID-19 affected the emotional state of social workers who teleworked during the pandemic, and to analyse the risk of burnout in the field of social services. The fieldwork was conducted on a self-selected sample of 395 social workers in Spain in 2021. The results show a lower risk related to negligent treatment and a high resilience of professionals. The findings highlight the role of social work and the need to organise social services to guarantee the quality of this service without overburdening its professionals.

A psychological reaction of higher education students to the new national exit exam in the case of Dilla University, 2023

IntroductionTest anxiety is an emotional state characterized by physiological and behavioral responses linked to the fear of poor exam results. It can result in a significant impact in the overall academic achievement of students. Addressing the contributing factors of the problem is better to intervene in the academic challenges of students and create a conducive learning environment. Thus, this study investigated the association between test anxiety and the newly implemented national exit exam program among prospective graduate students at Dilla University in 2023.MethodsA community-based cross-sectional design was employed, involving 357 participants recruited from August 15 to September 14, 2023. Data collection utilized structured questionnaires combined with interviews. The Westside Test Anxiety Inventory (WTAI) assessed test anxiety levels. Epi Info version 7 facilitated data entry, with subsequent analysis conducted using SPSS version 25. A p < 0.05 was used to determine statistical significance in the multivariate logistic regression model.ResultsThe prevalence of test anxiety associated with the national exit exam among prospective graduates at Dilla University was 68.9% (95% CI: 63.9–73.7%). The analysis identified significant associations between test anxiety and several factors: non-formal educational background of parents (AOR = 2.84, 95% CI: 2.12–4.65), moderate social support (AOR = 0.24, 95% CI: 0.12–0.46), and poor coping mechanisms (AOR = 3.67, 95% CI: 2.45–5.67).ConclusionThis study revealed a substantial prevalence of test anxiety among graduating students about the national exit exam. The findings suggest that factors such as limited social support and inadequate coping mechanisms contribute to test anxiety. Targeted interventions, including social support programs, counseling services, coping mechanism training, parental education, and support for students with lower academic performance, may be beneficial in mitigating test anxiety.

HOW THE ENDOCRINE SYSTEM AND MICROBIOTA EXPLAIN THE EMOTIONS BIOCHEMISTRY AND THEIR IMPACT IN HEALTH

Emotional reactions stimulate neural circuits and biological pathways that produce neurotransmitters, affecting homeostasis and promoting disease. Health and emotions communicate, establishing a bidirectional cause-and-effect pathway. The composition of the microbiota also affects health and emotions, interacting through metabolites, such as short-chain fatty acids (SCFA), with the host's biochemistry. Certain genera of bacteria act in different ways on the host's homeostasis, keeping the immune system constantly vigilant and acting on the synthesis of neurotransmitters, such as serotonin and dopamine, which are responsible for well-being. When the host is in homeostasis, the synthesis of neurotransmitters is normal, which keeps the intestinal microbiota in balance. However, when the organism is out of balance, this synthesis is impaired; decreasing the concentration of the initial compounds for the production of neurotransmitters, which leads to a reduction in the concentration of neurotransmitters and exaggerated activation of the HPA axis, inducing an imbalance in the intestinal microbiota, generating dysbiosis. Due to dysbiosis, the synthesis of neurotransmitters is impaired, leading the host to develop mental disorders such as depression, anxiety and chronic stress; which contributes to the state of imbalance of the organism, harming mental and physical health. By adequately restoring the intestinal microbiota, the hyperactivation of the HPA axis decreases, returning the body to homeostasis, resulting in the improvement of symptoms of depression, anxiety and chronic stress; leaving the organism healthy, both mentally and physically. Therefore, in this study we contextualize emotional research from a historical and descriptive perspective and present the main models of emotional identification. Focusing on basic emotions, we research the relationship of emotional states with the HPA axis and the microbiota, as well as how the bacteria present in the intestine affect the well-being of the host. Finally, we discuss our analysis presenting the bidirectional relationship between the endocrine system, microbiota and emotions.

Not feeling it: lack of robust emotion effects on breadth of attention

ABSTRACT Emotional states are believed to broaden or to narrow the focus of attention. However, numerous inconsistent findings call for renewed efforts to understand the conditions under which such effects occur. We conducted a pair of high-powered web experiments. Emotional states were manipulated across valence categories and appraisal dimensions using autobiographical recall (Experiment 1) and emotional images (Experiment 2). Breadth of attention was assessed using the Navon task coupled with induction sensitivity and mouse tracking analyses. We did not find robust evidence for emotional effects on breadth of attention. Negative images led surprisingly to slightly broader attention in Experiment 2, but this may reflect the slow release of cognitive resources from preceding negative stimuli amplifying the global precedence effect. Breadth of attention also had very small positive relationships with goal-congruence appraisal in the first and control appraisal in the second experiment. We also found no evidence for moderation by mood or personality. Taken together, our findings add to the growing list of failures to observe emotional modulation of breadth of attention and call for continued efforts to chart the boundary conditions of these effects.

Leader Emotional Capital Matters in The Automotive Manufacturing Industry

The ability of an organisation to adapt to constant change determines its long-term viability. Organisations that understand the value of excellent leadership in organisational performance will see growth and sustainable profitability. This research focused on the automotive industry in Isipingo, Durban, KwaZulu-Natal, South Africa. To thrive and remain competitive, the automotive sector must adapt to changing conditions, be efficient, and respond rapidly to external forces. Managers are frequently challenged with balancing the frustrations of different interest groups within the sector; becoming skilled and successful leaders; and steering the organisation in the appropriate direction. The emotional competency of employees is a valuable resource designated as emotional capital. The purpose of this study was to investigate whether the emotions of leadership influence employee performance in this Industry Therefore, the research question entailed, what is the role of leaders' emotions? Analysis of extant literature was related to aspects that impact leaders’ emotional capability. The main variables included emotional capital, leadership, emotions, and employee performance. This study was based on a quantitative approach. Primary data was collected through a survey which was analysed using Spearman’s rho correlation. The results highlighted how a leader's emotions affect employees and demonstrated a substantial association between employee performance and the leader's overall emotional state. It was determined that a leader's emotions can have both beneficial and negative effects on employee performance. The recommendations offered useful advice on how to choose tactics that would yield appropriate results for the organisation to be sustainable.

40 Hz Binaural Beats entrainment enhances the mood and cognition of medical students

Many medical students experience psychological distress from high academic demands, potentially harming their performance and mental health. Binaural beats (BB) stimulation, particularly gamma band entrainment, has been suggested to enhance neural communication, cognition, and reduce anxiety. This study aimed to determine whether 40 Hz BB could improve cognitive performance and mood in medical students. Forty participants, selected based on the inclusion criteria of good health, normal hearing, and no mental illness were recruited considering factors such as all sessions availability and consent. Participants listened to BB for 15 minutes, three times a week, over three consecutive weeks. Electroencephalogram recordings confirmed that 40 Hz BB induced gamma neural oscillations in the brain. Emotional states were assessed using the 32-item Brunel Mood Scale (BRUMS) with ratings on a 5-point Likert scale, whereas cognitive function was measured with the Stroop test, based on reaction time in milliseconds. Pre- and post-BB comparisons and gender-related differences were analyzed using paired and unpaired t-tests or appropriate non-parametric tests. The results showed that listening to BB significantly reduced negative emotions (p < 0.001) and enhanced positive emotions (p < 0.001), while also improving cognitive performance. However, the effects of BB were gender-specific, with female students showing greater improvements in ‘happiness’ and ‘calmness,’ (p < 0.001), while males experienced more pronounced enhancements in cognitive performance (p < 0.001). Additionally, time-dependent effects of BB were also observed. Therefore, 40 Hz BB seems to be an effective tool for helping students manage their challenges calmly and more efficiently.

Exploring the Factors Influencing Car Drivers' Perception and Crash Probability with Food Delivery Riders

Motorcycle food delivery riders (MFDR) face significant crash risks and some of these crashes are attributed to other vehicle drivers. This paper assesses drivers’ perceptions and observed riding behaviors of MFDRs, through a survey, and analyses driver factors that increase MFDR crash risk. Drivers indicated that MFDRs exhibited reckless riding (tailgating, filtering, and weaving), and drivers’ demographics, driving characteristics, and personality traits anger affected these observations. Personality trait anger influenced fault identified in a crash and motorcycle riding perception while driver demographics had a minor effect on the perceptions. Drivers’ motorcycle riding experience affected the understanding of MFDR behaviors and perception. Driver’s age, employment, motorcycle riding experience, violations, emotional state while driving (hurry), observed MFDR violations factor score, and motorcycle riding perception affected crash probability. The results could be used to develop strategies to promote traffic safety in mixed environments by providing motorcycle riding behavior awareness and improving driver training.

A diffusion tensor imaging-based multidimensional study of brain structural changes after long-term high-altitude exposure and their relationships with cognitive function

BackgroundBrain structure changes after long-term adaptation to the high-altitude environment; however, related studies are few, results are in consistent, and long-term effects on cognitive function and pathophysiological mechanisms are unclear. Therefore, diffusion tensor imaging (DTI) was used to investigate the damage to white matter fiber tracts and correlations between brain structural abnormalities and cognitive function.MethodsForty healthy Han people living on the high-altitude and 40 healthy Han people living on the plains were enrolled in this study and underwent magnetic resonance imaging, emotional state assessment, and cognitive function tests. The sex, age, education level, and social status of the two groups were not different. The tract-based spatial statistics (TBSS) method was used to analyze the DTI parameters of the white matter fiber tracts of the two groups. Moreover, the partial correlation method (age and sex as covariates) was used to analyze the correlations between the intergroup differences in the DTI parameters and a series of clinical indicators of emotional state and cognitive function. Two-sample t tests, Mann-Whitney U test, generalized linear model, or chi-square tests were used for statistical analysis.ResultsCompared with those individuals in the plain group, the scores on the PSQI, SDS, SAS, PHQ-9, and GAD-7 of individuals in the high-altitude group were higher, while the scores on the DST-Backwards, MoCA, and MMSE in the high-altitude group were lower. The fractional anisotropy (FA) value of the body of the corpus callosum in the high-altitude group was lower than that in the plain group. The FA value of the body of the corpus callosum in the plain group was negatively correlated with the Logical Memory, while no significant correlation was found in the high-altitude group.ConclusionThis study revealed that long-term exposure to a high-altitude environment could lead to a series of changes in sleep, emotion, and cognitive function and irreversible damage to the white matter microstructure of the body of the corpus callosum, which is the related brain region responsible for logical memory. The absence of logical memory impairment in the healthy Han Chinese population living on the high-altitude in this study may be due to the existence of adaptive compensation after long-term high-altitude exposure.

Enhancing university level English proficiency with generative AI: Empirical insights into automated feedback and learning outcomes

This paper investigates the effects of large language model (LLM) based feedback on the essay writing proficiency of university students in Hong Kong. It focuses on exploring the potential improvements that generative artificial intelligence (AI) can bring to student essay revisions, its effect on student engagement with writing tasks, and the emotions students experience while undergoing the process of revising written work. Utilizing a randomized controlled trial, it draws comparisons between the experiences and performance of 918 language students at a Hong Kong university, some of whom received generated feedback (GPT-3.5-turbo LLM) and some of whom did not. The impact of AI-generated feedback is assessed not only through quantifiable metrics, entailing statistical analysis of the impact of AI feedback on essay grading, but also through subjective indices, student surveys that captured motivational levels and emotional states, as well as thematic analysis of interviews with participating students. The incorporation of AI-generated feedback into the revision process demonstrated significant improvements in the caliber of students’ essays. The quantitative data suggests notable effect sizes of statistical significance, while qualitative feedback from students highlights increases in engagement and motivation as well as a mixed emotional experience during revision among those who received AI feedback.

A room of one’s own? The consequences of living density on individual well-being and social anomie

Abstract The global housing affordability crisis and COVID shutdowns have put living space inequality back on the political agenda. Drawing on Durkheim’s theory of anomie and density, this paper argues that on how many square meters a society lives matters for how stable or anomic it develops. Using data from the Swiss Household Panel, we examine the selection, short-term, and dynamic effects associated with transitions to overcrowded and under-occupied dwellings. We conceptualize these transitions as disruptive events that require a reconfiguration of personal and social equilibria in individuals’ lives. While overcrowded housing leads to a heightening of emotional states and more tense internal household dynamics, people respond by adjusting their leisure activities and restructuring their support networks from strong to weak ties. Conversely, moving to an under-occupied dwelling is associated with melancholic emotional stabilization, but improves household balance and leads to consolidation of the core network of relatives at the expense of outer social circles. We conclude that the classical characterization of anomie as a mismatch between personal means and societal ends should be understood as a multifaceted phenomenon in which meso-level social networks can be a crucial means to cope with disruptions that arise at other levels.

Societal Impact of Machine Learning on Human Emotions

Modern networking conversations generate annotated metadata, necessitating a method for synthesizing insights from statistics. Emotion detection is crucial for practical conversations, distinguishing joy, grief, and wrath. Corpora are becoming the standard for human–machine interaction, aiming to make interactions feel natural and real. A paradigm that identifies debates and customer views can provide a human touch to these interactions. Researchers developed a machine learning framework for assessing emotions in English phrases, utilizing Long Short Term Memory perspective and real-time emotion recognition in idiomatic speech. Emotion recognition rule is created using ontologies like Word Net and Concept Net, Naive Bayes, and Random Forest. Real-time analysis of written words and facial expressions significantly outperforms current algorithms and commandment classifiers in identifying emotional states.

The emotional state of young medical workers involved in medical care for COVID-19 patients

Relevance. Few studies have identified changes in the social wellbeing of the youth throughout the COVID-19 pandemic. The objective is to assess the emotional status of young medical workers involved in medical care during COVID-19.Methods. The study was carried out in spring 2024 in the format of an online survey. The responses were assessed using a scale specifically developed for the survey to assess respondent’s emotional state as ‘favorable’, ‘unfavorable’, or ‘average’. 135 male and 164 female medical workers were interviewed. The respondents’ age ranged from 20 to 35 years, allowing to consider them representing the youth as a social group. Their work experience in providing medical care to COVID-19 patients ranged from 6 to 24 months or more. Statistica 10.0 software package was used for statistical data processing. Results and discussion. Among the interviewed young medical workers, 20.0 % (95 % CI 15.5–24.8) assessed their emotional state as ‘unfavorable’ and 18.4 % (95 % CI 14.1–22.7) as ‘favorable’. Medical workers with 12 to 24 or more months of experience in providing medical care to COVID-19 patients were significantly less likely (p ≤ 0.05) to refer to their emotional state as ‘favorable’ and significantly more likely (p ≤ 0.05) to report anxiety, the need for non-stop motion, and inability to stand still or stay seated in one place. The group of medical workers reporting ‘unfavorable’ emotional state included 54.7 % (95 % CI 49.1–60.3) contested that before starting the job in COVID-19 departments, they had only been instructed, interviewed by the management, and trained right on the job. Meanwhile, ‘favorable’ emotional state was associated with prior training throughout CME cycles. This group of young medical workers also reported practicing one of two preventive strategies, i.e either a combination of sports, adequate physical activity, and “healthy eating” or sport, adequate physical activity, and sleep schedule, thus showing the respondents’ commitment to healthy lifestyles.Conclusion. In in young medical workers, providing medical care to COVID-19 patients is accompanied by deteriorated emotional state. This process can intensify with increasing work experience. Lack of training throughout CME cycles prior to work is an unfavorable factor. Adherence to healthy lifestyles is the most common strategy among young healthcare workers to prevent adverse emotional states.

Flow, Stagnation, and Renewal: Understanding the Symbolic Dimensions of Water in Anuradha Roy’s ‘An Atlas of Impossible Longing’

Water is one of nature's gifts to the earth, carrying a multitude of meanings and interpretations based on its context. Water in literature is studied from a variety of theoretical perspectives due to its rich symbolism and different narrative roles. This paper aims to explore Indian writer Anuradha Roy’s novel, "An Atlas of Impossible Longing," through Gaston Bachelad’s water symbolism theory and investigates how numerous types of water bodies, including rivers, ponds, and rain, each with its own meanings and thematic importance, with the river playing a central part in the novel. This study explores the symbolism of water through three key themes: "Flow and Transformation," "Stagnation and Reflection," and "Renewal and Destruction." It examines how water functions as both a healing and destructive force in human life. Using a qualitative approach, the study combines textual analysis with theoretical interpretation based on Gaston Bachelard’s symbolism theory from Water and Dreams: An Essay on the Imagination of Matter. Through a close reading of the novel, it highlights how water serves as a metaphorical device, reflecting characters’ emotional states, personal growth, and existential challenges. This research stands out by providing a comprehensive analysis of how Anuradha Roy integrates water symbolism in contemporary Indian Literature through her narrative structure and highlights its multidimensional role in the story. The novelty lies in its comparative analysis of Roy’s water imagery with broader literary traditions, creating new insights into how water symbolism functions both as an ecological signifier and a transformative metaphor in the human experience.

Caregivers' cognitions about infants' mental and emotional states

AbstractGiven the relevance of caregivers' perceptions, cognitions, and emotions about their child's mental states for caregiving behavior and children's development, researchers from multiple theoretical perspectives have developed constructs to assess caregivers' cognitions, resulting in a large but scattered body of literature. In this article, we highlight the conceptual overlap among and uniqueness of six constructs assessing caregivers' cognitions about their child at 36 months and younger: infant intentionality, mental representations, mind‐mindedness, parental embodied mentalizing, parental empathy, and parental reflective functioning. We define constructs, present approaches to measurement, and propose elements of importance that fall under the umbrella of caregivers' cognitions and that may be associated differentially with children's early cognitive and social–emotional development. We conclude with recommendations for researchers aiming to capture caregivers' cognitions about their child's mental states, whether focusing on one of the six reviewed constructs or on specific elements (e.g., awareness of the child's mind or accuracy of caregivers' perceptions of their child) under the umbrella of caregivers' cognitions.

Relationship between maltreatment and mental health in adolescents: A school-based study in Indonesia.

Maltreatment affects emotional development in adolescents and inhibits social adjustment. This study aimed to analyze the relationship between maltreatment and mental health among adolescents. A cross-sectional study was conducted on adolescents in the first and second grades of middle school (12-14 years old) and high school (15-17 years old) in eight cities and municipalities in the province, selected through several stages of simple random sampling (N = 1837). The International Society for the Prevention of Child Abuse and Neglect (ISPCAN) Child Abuse Screening Tool for Children (ICAST-C) questionnaire for detecting maltreatment was translated, simplified, and validated by an expert based on a theoretical framework that involved pediatricians, public health, and medicolegal perspectives. The Strengths and Difficulties Questionnaire (SDQ) was used to assess emotional states. ICAST-C and SDQ scores were transformed to logit values using Rasch model analysis. Distribution frequency and linear regression were used for data analysis. The results indicated that 85.6% of adolescents aged 12-14 and 83% of those aged 15-17 experienced physical maltreatment, while 89.4% of the 12-14 age group and 82.9% of the 15-17 age group experienced psychological maltreatment. The emotional states of the two groups were 52.8% and 59.2%, respectively. There was a significant correlation between the experience of physical maltreatment and emotions among 12-14 (r1 = 0.148 (0.190-0.257)) and 15-17 years old (r1 = 0.047 (0.084-0.156)). There was a significant correlation between the experience of psychological maltreatment and emotions among 12-14 years old '(r2 = 0.191 (0.270-0.350)) and 15 to 17 years old (r2 = 0.097 (0.167-0.252)). In conclusion, physical and psychological maltreatment were correlated with mental health states among adolescent students in West Java, Indonesia.