Mental Attributes Research Articles

How Does Representational Mind-Mindedness Translate Into Observable Parenting Behaviors Among Parents of Six-Year-Olds?

Mind-Mindedness reflects parents' capacity to treat their child as an individual with a mind of their own. Research is lacking on how Representational Mind-Mindedness (RMM) translates into observable parenting behaviours beyond infancy. The present study examined how RMM was associated with parents' Acknowledging Behaviour (AB) and use of Mental State Talk (MST), and whether these associations were moderated by parents' educational level. The sample consisted of 133 Danish parents and their 6-year-old children, who were observed engaging in a challenging puzzle and in a shared reminiscing task during home visits. RMM was operationalized as parents' use of mental attributes when describing their child. There was no significant association between RMM and AB. RMM was significantly associated with MST, but only among parents with higher education level. The present study illuminates differences in how the representational measure of parents' mentalization capacity translates into observable parenting behaviors among early school-aged children.

The impact of mental health on shoulder arthroplasty and rotator cuff repair: a meta-analysis.

The aim of this study was to evaluate the impact of mental health attributes, such as the presence of psychiatric comorbidities or psychological comorbidities (low resilience), on outcomes after rotator cuff repair (RCR) and total shoulder arthroplasty (TSA). PubMed, Cochrane, and Google Scholar (results pages 1-20) were searched up to November 2023. Mental health problems of interest included the presence of psychiatric comorbidities (depression, anxiety) or indicators of poor psychological functioning, such as low resilience or the presence of distress. Patients were assigned to poor or good mental health groups in this study based on their grouping in the original study. Fourteen studies were included in the meta-analysis. Patients with good mental health had greater improvements in postoperative American Shoulder and Elbow Surgeons and Simple Shoulder Test scores in the TSA cohort (P=0.003 and P=0.01), RCR cohort (P<0.001), and the combined TSA and RCR cohort (P<0.001). No difference was found in visual analog scale score, satisfaction, external rotation, or flexion between the two mental health groups. Patients with poor mental health undergoing RCR experienced higher rates of adverse events and transfusions (P<0.001). Patients with poor mental health also had greater rates of revision and emergency department visits in the TSA cohort (P<0.001), RCR cohort (P=0.05 and P=0.03), and combined cohort (P<0.001). Patients with poor mental health undergoing TSA had a higher rate of re-admission (P<0.001). Patients with poor preoperative mental health showed inferior patient-reported outcome scores and increased rates of adverse events, revisions, and re-admissions. Level of evidence: III.

Online Assessment of Mental Health Micromedia for College Students Incorporating Bayesian Network Algorithm

Mental health issues among college students are a growing concern, necessitating effective assessment methods to identify individuals at risk and provide timely interventions. In this paper, we propose and evaluate several computational models for mental health assessment based on demographic, academic, and psychological factors. Hence, this paper implemented the Probabilistic Deep Belief Bayesian Network (PDBBN) to classify students' mental health attributes. The proposed PDBBN network computes the probabilistic value of the mental health assessment of the students. With the estimation of the probabilistic model, the extracted features are applied in the Deep Belief Bayesian Network for the classification of student mental health with the Macromedia analysis in college students. The classification is performed with the consideration of information on gender, age, academic performance, social support scores, and self-reported levels of stress, anxiety, and depression, and each model across multiple epochs. Simulation is conducted in comparison with the proposed PDBBN model with the Convolutional Neural Network (CNN), and Deep Neural Network (DNN) models. The results indicate that PDBBN consistently outperforms CNN and DNN in terms of classification accuracy, precision, recall, and F1 score. The simulation analysis of results stated that the proposed PDBBN model achieves a higher classification accuracy of 0.98 which is significantly higher than the CNN and DNN models. Additionally, the proposed PDBBN model expressed that mental health of the students significantly impacts in the academic performance of the students.

Mind-mindedness and educational stance in a sample of primary school teachers

Mind-mindedness has been defined as the caregiver's ability to consider the children's mental states and refer to them in commenting behavior. The present study embedded mind-mindedness in the discourse about the quality of teacherpupil relationship in primary school alongside other instruments that investigated the educational style in terms of authoritarian paradigm, methods, and control. The 169 Italian primary school teachers involved in this study completed, through an online survey platform: a description of one selected pupil (Mind-mindedness representational measure), Adultcentrism Scale for Teachers, The Black Pedagogy Scale (cf. Rutschky, 1977, 2015; Miller, 1980, 1983), and Problems in School Questionnaire. In general, descriptions of pupils provided by teachers showed a prevalence of mental attributes over behavioral ones. A higher percentage of mental contents in teachers' descriptions associated with a teaching style oriented to support pupils' autonomy. The agreement with Black Pedagogy methods associated instead with poorer descriptions. Moreover, a positive correlation was found between the report of higher diffusion of Black Pedagogy's practices nowadays, and the tendency to use more mental attributes (absolute frequency). For future research, it would be interesting to deepen the level of adult mind-mindedness in further educational contexts and in describing children of different ages, also through a qualitative methodology.

Factors Associated with the Deterioration of Intrinsic Capacity among Older Adults in Mexico and Colombia.

Intrinsic capacity (IC) is defined as &quot;all the physical and mental attributes possessed by the older person.&quot; This concept has gained momentum in recent years because it provides insights into the changes in the functional capacity of individuals during their life. This study examined common factors associated with IC decline among older adults in Mexico and Colombia. This cross-sectional, correlational study included 348 community-dwelling older adults. Sociodemographic, clinical, and family conditions were assessed as possible associated factors, and IC was analyzed across five domains: cognitive, locomotor, psychological, vitality (malnutrition through deficiency and excess), and sensory (visual and auditory). Parametric and non-parametric statistical analyses were performed. The common factors associated with impairment according to domain were family dysfunctionality (cognitive domain); myocardial infarction, family dysfunctionality, age &gt;80 years, home occupation, and not having a partner (locomotor domain); dysfunctional family and risk of falls (psychological domain); age &gt;80 years and not having a partner (malnutrition by deficiency domain); age 60-79 years, walking &lt;7,500 steps/day, and peripheral vascular disease (malnutrition by excess domain); risk of falling and being female (visual sensory domain); risk of falling (auditory sensory domain); and dysfunctional family and risk of falling (total intrinsic capacity). Both populations had common sociodemographic, clinical, and familial factors that directly affected total IC stocks and their domains.

Working effectively with consumers: Perspectives from students, teachers, nurses, and consumers.

Preparing enrolled nurses (ENs) to effectively work with mental health consumers is crucial to meeting Australia's healthcare demands. This qualitative study aimed to explore various stakeholders' perceptions regarding the mental health knowledge, skills, and attributes (KSAs) required by ENs to engage with individuals experiencing mental health issues, thus guiding future training priorities. The sample comprised 44 participants including 18 students, 3 graduate ENs, 5 experienced ENs, 5 registered nurses (RNs), 4 nurse unit managers (NUMs), 5 teachers, and 5 consumers of mental health services. Focus groups were used to collect data from the students, whilst individual interviews were conducted with all other participants. A thematic analysis revealed communication was the most vital skill for effectively working with mental health consumers. Skills such as critical thinking and clinical reasoning were also deemed crucial, given the volatile nature of the mental health inpatient environment, necessitating effective responses to acute escalations to prevent adverse outcomes for both staff and consumers. Essential knowledge components included understanding mental health disorders, symptoms, and treatments, particularly medications used for mental health issues. Participants also emphasised the importance of attributes like confidence and empathy in supporting and caring for consumers, who often experienced trauma and vulnerability. These findings provide valuable insights into the content that should be incorporated into the diploma of nursing (DN) training to produce competent graduate ENs.

Black Measurement: The Contributions of People Racialized as Black to the Field of Psychometrics

Psychometrics is a branch of psychology concerned with the measurement of mental attributes, behavior, and performance, in addition to the design and analysis of tests and other instruments. The origins of this field are rooted in the explorations of 18th century scientists concerned with capturing phenomena in empirical ways. Less discussed is the use of tests and assessments to validate racialization, which thrusts persons racialized as Black into the early discourse on psychometrics. Scholars, scientists, and psychometricians racialized as Black have long engaged psychometrics providing two major contributions: infrastructure via personnel and training programs built by persons racialized as Black; and interdisciplinarity, which include disciplinary standards and knowledge production. This commentary names these important figures and describes their contributions to the field of psychometrics.

EEG-based Emotion Recognition: Assessing Misclassification Rates Using Machine Learning Techniques

Everyday human interaction heavily relies on emotions, which play a pivotal role in fostering genuine human-machine interaction. Emotional equilibrium is crucial for individual well-being, with regular meditation being a widely acknowledged means to achieve it. This study delves into the effect of meditation on emotional responses using Electroencephalography (EEG) technology. EEG can establish correlations between mental attributes and emotional states, with four emotions (Thrilled, Angry, Sad, and Relax) used as categorized stimuli based on valence-stimulation.&#x0D; Functional connectivity in EEG brainwave activity is compared during these four emotions both before and after meditation sessions. Results demonstrate that meditation promotes more cohesive emotional experiences, albeit with a reduction in classification accuracy observed after an 8-week meditation regimen. This research utilizes EEG data to develop a classification system for discerning familiarity levels within EEG signals, employing the Hjorth Descriptor to condense signal characteristics into three distinct criteria. A Multilayer Perceptron classifier, leveraging input parameters, achieves a peak accuracy of 96% through a combined application of three functions.

Study protocol of a randomized, double-blind, placebo-controlled clinical trial on the efficacy and safety of an Ayurveda formulation (Ayush-SR) in the management of occupational stress among nurses

Abstract BACKGROUND: Work-related stress has been found to have a detrimental effect on the individual’s productivity, quality of work, health, and personal life. Nursing has been identified as an occupation with high stress levels owing to complex job requirements that demand full physical and mental attributes, high responsibility, and job timings. Many Ayurveda interventions have demonstrated adaptogenic properties, and the proposed manuscript presents the design and protocol of the study, an Ayurveda intervention, Ayush-SR, in occupational stress in nurses. OBJECTIVE: To assess the clinical efficacy and safety of Ayurvedic medicine Ayush-SR in the management of occupational stress among nurses. MATERIALS AND METHODS: A prospective, randomized, double-blind, parallel-group, placebo-controlled, two-arm study has been designed to enroll a total of 120 nurses from a tertiary hospital in New Delhi, India. They will be screened for occupational stress based on a Professional Life Stress Scale (PLSS) score between 15 and 45, to meet the selection criteria. The participants will be randomized in a 1:1 ratio and allocated to two tabs of either Ayush-SR in the dose of 500 mg or its matching placebo twice a day after food for 90 days. The two-arm intervention comparison study includes a follow-up of 90 days with an assessment at the end of every 30 days. OUTCOME MEASURES: The primary outcome is the change in scores of PLSS. The secondary outcomes include the clinical safety assessment, changes in the scores of Quality of Life (by WHOQOL-BREF), and Manasa Bhava (Ayurveda-based psychobehavioral parameters) factors. Ethics: Ethics approval was taken from the Institutional Ethics Committee following which recruitment commenced in February 2021. Clinical Trial Registration: CTRI/2020/07/2026276 dated 01.07.2020

Development of Foetal Body Parts as per Garbhaavakraanti Shaareera - An Ayurvedic Perspective

The conception and development of a healthy offspring have been a paramount concern for humanity throughout history. This concern is deeply rooted in various cultures and traditions, and Ayurveda, an ancient Indian system of medicine, offers a holistic perspective on factors that influence the growth and development of a fetus. Ayurveda underscores several critical factors to ensure the birth of a normal and healthy progeny. These factors include "Garbha Saamagri," which pertains to the quality of reproductive materials, emphasizing the significance of the parents' health at the time of conception. "Daurhruda" relates to the timing and season of conception, asserting that environmental factors play a role in the child's health. The "Pitrujadi Six Factors" encompass inherited attributes from both parents, stressing the importance of genetic compatibility between partners. Additionally, Ayurveda places a strong emphasis on the lifestyle and nutrition of the pregnant woman, her emotional well-being, and the regimen during her menstrual cycle. All these factors are believed to influence the child's constitution and overall health. "Svabhava" considers the inherent nature and constitution of both parents, which can affect the physical and mental attributes of the child. It is important to note that Ayurveda offers a holistic and ancient perspective on these factors. In conclusion, Ayurveda provides a comprehensive framework for understanding the factors that influence fetal growth and development.

Foreign Language Anxiety of College English Teachers and Their Countermeasures

It is necessary for English teachers to grasp the causes of students' language anxiety and explore ways to avoid, reduce, and eliminate students' anxiety. This paper discusses the foreign language anxiety of college English teachers in classroom teaching, its possible causes, teachers' awareness of anxiety, and countermeasures. This paper introduces the composition of student affairs analysis system from data layer, analysis layer, application layer, and display layer and combines data warehouse and data mining technology to improve the functions of student information, teacher information, achievement information, course selection information, and course evaluation. On the premise of data mining and data information management, it realizes the construction and application of teaching management data analysis system, using classification model. Apriori algorithm improves the algorithm, uses big data technology to analyze data and design courses, and analyzes the inherent relationship between mental health problems and attributes.

Mental Health Status Of Lecturers In Federal University Gusau Amidst Banditry In Zamfara State: Implications For Counselling And Psychotherapy

In the context of ongoing banditry incidents in Zamfara State, Nigeria, this study aimed to assess the mental health status of lecturers in Federal University Gusau (FUGUS). The purpose was to examine whether banditry prevalence has negatively or positively impacted on the psychological well-being of the university teachers. Employing a descriptive survey design, data was collected from 86 lecturers using a Self-Reporting Mental Health Inventory (SMHI). The inventory demonstrated high internal consistency (Cronbach's alpha = 0.89) and comprised dimensions reflecting positive mental health attributes. Data analysis involved the utilization of mean scores, one-sample and independent sample t-tests. The results of the analyses revealed that the mean scores for various dimensions of mental health were consistently below 3.0, suggesting a significant level of negative mental health experienced by the participants. This observation underscores concerns about the overall mental well-being of lecturers in the face of banditry-related challenges. Furthermore, an independent sample t-test indicated that gender did not exert a significant influence on the observed negative mental health outcomes. The lack of significant gender differences in mental health status suggests that both male and female lecturers are equally affected by the adverse impact of banditry on their psychological well-being. In conclusion, this study contributes to the understanding of the mental health challenges faced by university lecturers in the context of banditry in Zamfara State. The findings underscore the need for targeted counselling interventions and support strategies to address negative mental health outcomes among lecturers, irrespective of gender, and to cultivate a conducive academic environment that promotes their psychological well-being.

Analysis of Prakriti in Ayurvedic Classical Texts

Prakriti is an integral part of Ayurveda, which is an eternal science based on absolute principles. It is essential for the selection and formation of all factors for which a person will interact from conception to death, such as lifestyle, diet, etc. It represents the character of the body in relation to the Dosha and is determined at the moment of conception based on the predominant Dosha. This character does not change throughout a person's lifetime and is responsible for their physical and mental attributes. Tridosha says there are seven types of Prakriti. People with certain Prakriti have different bodies in terms of how they work, how they act, how they react to things in their environment, how likely they are to get diseases, and so on. Prakriti identifies how an individual reacts to environmental conditions, lifestyle changes, and drugs, and how susceptible they are to different diseases. It's one of the first ideas in preventive and personalized (or genomic) medicine. To figure out how susceptible an individual is to different diseases, what drugs to use, how much to take, how the drug reacts to the body, how the disease will progress, and how to prevent it, first Prakriti is done, then Vikriti is done. Prakriti focuses on uniqueness and plays a big role in preventing and curing diseases, as well as keeping you healthy throughout your life. Analysis of the concept of Prakriti is made to find out through this paper.

Horse gait analysis using wearable inertial sensors and machine learning

Equestrian sports require horses to possess physical and mental attributes such as agility, strength, balance, and gymnastic skills. Performance analysis is critical in evaluating a horse’s performance, which involves assessing athleticism, gait quality, jumping ability, and general health. Assessing the kinematics of horses is crucial for selecting, training, and managing sports horses. Understanding a horse’s gait pattern and detecting Ground Reaction Forces (GRF) help diagnose lameness in the horse. Traditional gait analysis methods are performed visually, which can be biased due to subjectivity and human error. Optical motion capture (OMC) technology for equine gait analysis is expensive and ideal for indoor use. Wearable inertial measurement units (IMUs) offer a cost-effective alternative for analyzing kinematic parameters. This study has devised novel wearable sensor devices for horses and riders to measure forces acting on the legs and body of the horse and the orientation of their legs during field performance. Ground Reaction Forces (GRF) were measured using 100g accelerometer data from each leg to assist owners and riders in analyzing the magnitude of forces and detecting any anomalies. Machine-learning models were developed to classify horse movements, such as jumps, stands, gallops, and trots, using features extracted from the data collected by wearable sensor devices. These models were compared to identify the most effective model for accurately classifying horse movements. This approach provides a valuable tool for recognizing patterns and trends in the data, enabling owners and riders to make informed decisions about training and management strategies.

A Quantum-like Model of Interdependence for Embodied Human-Machine Teams: Reviewing the Path to Autonomy Facing Complexity and Uncertainty.

In this review, our goal is to design and test quantum-like algorithms for Artificial Intelligence (AI) in open systems to structure a human-machine team to be able to reach its maximum performance. Unlike the laboratory, in open systems, teams face complexity, uncertainty and conflict. All task domains have complexity levels-some low, and others high. Complexity in this new domain is affected by the environment and the task, which are both affected by uncertainty and conflict. We contrast individual and interdependence approaches to teams. The traditional and individual approach focuses on building teams and systems by aggregating the best available information for individuals, their thoughts, behaviors and skills. Its concepts are characterized chiefly by one-to-one relations between mind and body, a summation of disembodied individual mental and physical attributes, and degrees of freedom corresponding to the number of members in a team; however, this approach is characterized by the many researchers who have invested in it for almost a century with few results that can be generalized to human-machine interactions; by the replication crisis of today (e.g., the invalid scale for self-esteem); and by its many disembodied concepts. In contrast, our approach is based on the quantum-like nature of interdependence. It allows us theorization about the bistability of mind and body, but it poses a measurement problem and a non-factorable nature. Bistability addresses team structure and performance; the measurement problem solves the replication crisis; and the non-factorable aspect of teams reduces the degrees of freedom and the information derivable from teammates to match findings by the National Academies of Science. We review the science of teams and human-machine team research in the laboratory versus in the open field; justifications for rejecting traditional social science while supporting our approach; a fuller understanding of the complexity of teams and tasks; the mathematics involved; a review of results from our quantum-like model in the open field (e.g., tradeoffs between team structure and performance); and the path forward to advance the science of interdependence and autonomy.

THE ROLE OF THE COACH IN EQUESTRIAN SPORT

This article aimed to address the void in current knowledge by gaining an understanding of the coaches’ role in equestrian sport. This research suggests that the role of the sports coach is to develop the physical, mental, tactical, technical and psychological attributes of the athlete as well as to plan and organize the individual training plan for rider and horse and competition schedule.

Health-Related Physical Fitness Variables and Students’ Holistic Development

The study aimed to identify the relationship between health-related physical fitness variable to the holistic development of learners in St. John Parochial School in Tiaong, Quezon. The result shows that there is significant relationship between the student-respondents demographic profile and their holistic development. The student’s age has a positive significant relationship with the emotional attributes. Likewise, positive significant relationship is depicted from student’s grade level and their physical, social, and emotional attributes. Positive significant relationship is also present in the number of days students exercise to the physical and social attributes. However, there is no significant relationship present at student’s gender and BMI to any of their holistic development. Furthermore, there is a positive significant relationship between the health-related physical fitness in terms of cardio-vascular endurance, strength, flexibility, balance, and coordination and student’s holistic development in terms of physical, social, mental and emotional attributes.

Effect of mindfulness-based intervention on endurance performance under pressure and performance-relevant mental attributes, an interdisciplinary perspective: Protocol for a Mindfulness-Based Peak Performance (MBPP) trial

Performance under pressure is one of the primary features of competitive sports. Considering that increased competition levels are typically accompanied by elevated stress and anxiety, athletes' ability to cope with stress has gained even more importance in recent years. Accordingly, the current trial, entitled Mindfulness-based Peak Performance (MBPP), will take an interdisciplinary approach (e.g., sport psychology, sports training, and cognitive neuroscience), to more definitively examine whether a MBPP affects athletic performance under pressure and relevant mental attributes. This study is an 8-week, three-arm, randomized controlled trial (RCT). A total of 90 athletes, aged between 18 and 30 years will be recruited. Eligible participants will be randomly assigned into (1) an MBPP group, (2) a self-talk (ST) group, and (3) a wait-list control (WC) group. The MBPP and ST interventions consist of a 60-min session weekly for 8 weeks. Primary outcomes are endurance performance and performance-relevant mental attributes including behavior (i.e., stress response, emotion regulation, and engagement) and neurocognitive processes (e.g., attention, executive function, brain resting state), which will be assessed at baseline and post-intervention. Dispositional mindfulness and athletic psychological skills will be secondary outcomes, also assessed at baseline and post-intervention. The MBPP and ST are expected to improve performance under pressure, but MBPP is expected to show greater improvement than ST. Additionally, we expect the MBPP will improve the relevant mental attributes. The results from this trial might provide rigorous evidence and insight into MBI application in the sports context. ClinicalTrials.govregistration:NCT05612295.

THE ASH'ARI ROOTING FOR THE ATTRIBUTES OF DIVINE MEANINGS ... IMAM AL-JUWAYNI AS A MODEL, IN THE LIGHT OF HIS BOOK WITH SHINING OF EVIDENCE IN THE RULES AND BELIEFS OF THE SUNNIS

&#x0D; &#x0D; &#x0D; &#x0D; Research summary that ::&#x0D; 1- Imam Al-Juwaini is one of the imams of the Sunnis and the community. Ash'ari's doctrine Shafi’i school of thought studied many students in his time and was famous for his request for knowledge and the abundance of his works in most of the legal sciences, especially the science of speech.&#x0D; 2- The topics of the book (Shining of Evidence in the Rules and Doctrines of the People of the Sunnah) came sequential and continuous, as the talk began about the world and its occurrence to reach the existence and introduction of Allah Almighty, then he moved on to talk about Allah Almighty and his attributes.&#x0D; 3- Ash'ari went on to say that the moral or mental attributes of Allah are confined to seven attributes, and they differed on the characteristic of survival and have been proven by the evidence of reason (which is that he is alive, knowledgeable, capable, desirous, hearing, speaking, remaining).&#x0D; 4- In a very clear way, the Al-Juwayni approach appears, as Abu Al-Ma’ali demonstrated these qualities mentioned in the book and it is true of the Sunnah, even that which was fixed in the news of the ones without mentioning what was often mingled around him, which is known as the mental opponent.&#x0D; 5- Al-Juwayni chose that survival is due to the same continuous existence without more meaning, and the reason for this is that the mind sees that if this path does not follow, we should describe the eternal qualities as remaining, then we prove to it survival and the context of this saying is carried out to the meaning in the meaning&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; 6- The teams of the Kharijites, the Mu'tazilites, the Jahmiyyah and the Al-Muruja deny all the characteristics of Allah Almighty.

Trilogy of Covid-19 pandemic inactivity, Vitamin D deficiency and Genu Valgus knee deformation: Indolent manifestation of concern in preadolescents

The Covid-19 pandemic has affected the health in myriad ways. The direct affection may lead to respiratory infection. An indirect effect of Covid-19 has manifestations on the physical, mental and behavioural attributes in majority of the age groups. The forced restrictions, limited activities, and changed lifestyle have aggravated the deleterious effects of the sedentary lifestyles. The management of the physical activity for all age groups especially pre-adolescents took a relative back-seat during the Covid-19 restrictions with no immediate suggestions for an active treatment protocol strategy. The clinicians in general, emphasised on the conservative measures to manage the increased incidence of vitamin deficiency and osteopenia majorly with consultations based on telecommunication without clinical evaluation. The subsequent delayed assessment showed a profound negative impact amongst the pre-adolescents with significant progression of knee deformation and increased outpatient clinic presentation of genu valgus for management in later phase of pandemic. This has posed a unique Covid-19 post-pandemic manifestation of concern.The trilogy of Covid-19 restrictions induced poor physical activity, vitamin-D deficiency, and deformation of knees to valgus angulation have crippling effect in the pre-adolescent age-group. The delay in timely identification and medical management for the pre-adolescents has aggravated the joint deformation compromising the functional outcomes. The orthopaedic surgeons are now challenged and burdened to manage pre-adolescents knee deformity for corrective medical and surgical measures. On literature review, the guidelines are sparse for the paediatric orthopaedic management. The silent worsening with increased morbidity presents a matter of substantial concerns.An individualized management strategy for pre-adolescents is strongly recommended to manage this “silent” morbidity.