Mental models accurately predict emotion transitions.

PubMed

Thornton, Mark A; Tamir, Diana I

2017-06-06

Successful social interactions depend on people's ability to predict others' future actions and emotions. People possess many mechanisms for perceiving others' current emotional states, but how might they use this information to predict others' future states? We hypothesized that people might capitalize on an overlooked aspect of affective experience: current emotions predict future emotions. By attending to regularities in emotion transitions, perceivers might develop accurate mental models of others' emotional dynamics. People could then use these mental models of emotion transitions to predict others' future emotions from currently observable emotions. To test this hypothesis, studies 1-3 used data from three extant experience-sampling datasets to establish the actual rates of emotional transitions. We then collected three parallel datasets in which participants rated the transition likelihoods between the same set of emotions. Participants' ratings of emotion transitions predicted others' experienced transitional likelihoods with high accuracy. Study 4 demonstrated that four conceptual dimensions of mental state representation-valence, social impact, rationality, and human mind-inform participants' mental models. Study 5 used 2 million emotion reports on the Experience Project to replicate both of these findings: again people reported accurate models of emotion transitions, and these models were informed by the same four conceptual dimensions. Importantly, neither these conceptual dimensions nor holistic similarity could fully explain participants' accuracy, suggesting that their mental models contain accurate information about emotion dynamics above and beyond what might be predicted by static emotion knowledge alone.

The Effects of a Simulation Game on Mental Models about Organizational Systems

ERIC Educational Resources Information Center

Reese, Rebecca M.

2017-01-01

This mixed methods study was designed to uncover evidence of change to mental models about organizational systems resulting from participation in a simulation game that is based on a system dynamics model. Thirty participants in a 2 day experiential workshop completed a pretest and posttest to assess learning about particular systems concepts.…

State-and-transition model archetypes: a global taxonomy of rangeland change

USDA-ARS?s Scientific Manuscript database

State and transition models (STMs) synthesize science-based and local knowledge to formally represent the dynamics of rangeland and other ecosystems. Mental models or concepts of ecosystem dynamics implicitly underlie all management decisions in rangelands and thus how people influence rangeland sus...

Mental models accurately predict emotion transitions

PubMed Central

Thornton, Mark A.; Tamir, Diana I.

2017-01-01

Successful social interactions depend on people’s ability to predict others’ future actions and emotions. People possess many mechanisms for perceiving others’ current emotional states, but how might they use this information to predict others’ future states? We hypothesized that people might capitalize on an overlooked aspect of affective experience: current emotions predict future emotions. By attending to regularities in emotion transitions, perceivers might develop accurate mental models of others’ emotional dynamics. People could then use these mental models of emotion transitions to predict others’ future emotions from currently observable emotions. To test this hypothesis, studies 1–3 used data from three extant experience-sampling datasets to establish the actual rates of emotional transitions. We then collected three parallel datasets in which participants rated the transition likelihoods between the same set of emotions. Participants’ ratings of emotion transitions predicted others’ experienced transitional likelihoods with high accuracy. Study 4 demonstrated that four conceptual dimensions of mental state representation—valence, social impact, rationality, and human mind—inform participants’ mental models. Study 5 used 2 million emotion reports on the Experience Project to replicate both of these findings: again people reported accurate models of emotion transitions, and these models were informed by the same four conceptual dimensions. Importantly, neither these conceptual dimensions nor holistic similarity could fully explain participants’ accuracy, suggesting that their mental models contain accurate information about emotion dynamics above and beyond what might be predicted by static emotion knowledge alone. PMID:28533373

Depictive Gestures as Evidence for Dynamic Mental Imagery in Four Types of Student Reasoning

NASA Astrophysics Data System (ADS)

Stephens, A. Lynn; Clement, John J.

2007-01-01

We discuss evidence for the use of runnable imagery (imagistic simulation) in four types of student reasoning. In an in-depth case study of a high school physics class, we identified multiple instances of students running mental models, using analogies, using extreme cases, and using Gedanken experiments. Previous case studies of expert scientists have indicated that these processes can be central during scientific model construction; here we discuss their spontaneous use by students. We also discuss their association with spontaneous, depictive gestures, which we interpret as an indicator of the use of dynamic and kinesthetic imagery. Of the numerous instances of these forms of reasoning observed in the class, most were associated with depictive gestures and over half with gestures that depicted motion or force. This evidence suggests that runnable, dynamic mental imagery can be very important in student reasoning.

Psychosocial Dynamics of College Students' Use of Mental Health Services

ERIC Educational Resources Information Center

Rosenthal, Beth Spenciner; Wilson, William Cody

2016-01-01

The authors present and empirically test a multivariate model of the use of mental health counseling services. Use of such services by 1st-year college students is directly a result of need for these services and willingness to use them. Beliefs about mental health services and demographic characteristics are not directly related to use, but…

Investigating Students' Mental Models and Knowledge Construction of Microscopic Friction. I. Implications for Curriculum Design and Development

ERIC Educational Resources Information Center

Corpuz, Edgar D.; Rebello, N. Sanjay

2011-01-01

In this paper, we discuss the first phase of a multiphase study aimed at investigating the dynamics of students' knowledge construction in the context of unfamiliar physical phenomenon--microscopic friction. The first phase of this study involved the investigation of the variations in students' mental models of microscopic friction. Clinical…

Models of conceptual understanding in human respiration and strategies for instruction

NASA Astrophysics Data System (ADS)

Rea-Ramirez, Mary Anne

Prior research has indicated that students of all ages show little understanding of respiration beyond breathing in and out and the need for air to survive. This occurs even after instruction with alternative conceptions persisting into adulthood. Whether this is due to specific educational strategies or to the level of difficulty in understanding a complex system is an important question. The purpose of this study was to obtain a deeper understanding of middle school students' development of mental models of human respiration. The study was composed of two major parts, one concerned with documenting and analyzing how students learn, and one concerned with measuring the effect of teaching strategies. This was carried out through a pre-test, "learning aloud" case studies in which students engaged in one-on-one tutoring interviews with the researcher, and a post-test. Transcript data from the intervention and post-test indicates that all students in this study were successful in constructing mental models of a complex concept, respiration, and in successfully applying these mental models to transfer problems. Differences in the pretest and posttest means were on the order of two standard deviations in size. While findings were uncovered in the use of a variety of strategies, possibly most interesting are the new views of analogies as an instructional strategy. Some analogies appear to be effective in supporting construction of visual/spatial features. Providing multiple, simple analogies that allow the student to construct new models in small steps, using student generated analogies, and using analogies to determine prior knowledge may also increase the effectiveness of analogies. Evidence suggested that students were able to extend the dynamic properties of certain analogies to the dynamics of the target conception and that this, in turn, allowed students to use the new models to explain causal relationships and give new function to models. This suggests that construction of causal, dynamic mental models is supported by the use of analogies containing dynamic and causal relationships.

The concept of shared mental models in healthcare collaboration.

PubMed

McComb, Sara; Simpson, Vicki

2014-07-01

To report an analysis of the concept of shared mental models in health care. Shared mental models have been described as facilitators of effective teamwork. The complexity and criticality of the current healthcare system requires shared mental models to enhance safe and effective patient/client care. Yet, the current concept definition in the healthcare literature is vague and, therefore, difficult to apply consistently in research and practice. Concept analysis. Literature for this concept analysis was retrieved from several databases, including CINAHL, PubMed and MEDLINE (EBSCO Interface), for the years 1997-2013. Walker and Avant's approach to concept analysis was employed and, following Paley's guidance, embedded in extant theory from the team literature. Although teamwork and collaboration are discussed frequently in healthcare literature, the concept of shared mental models in that context is not as commonly found but is increasing in appearance. Our concept analysis defines shared mental models as individually held knowledge structures that help team members function collaboratively in their environments and are comprised of the attributes of content, similarity, accuracy and dynamics. This theoretically grounded concept analysis provides a foundation for a middle-range descriptive theory of shared mental models in nursing and health care. Further research concerning the impact of shared mental models in the healthcare setting can result in development and refinement of shared mental models to support effective teamwork and collaboration. © 2013 John Wiley & Sons Ltd.

Chunking dynamics: heteroclinics in mind

PubMed Central

Rabinovich, Mikhail I.; Varona, Pablo; Tristan, Irma; Afraimovich, Valentin S.

2014-01-01

Recent results of imaging technologies and non-linear dynamics make possible to relate the structure and dynamics of functional brain networks to different mental tasks and to build theoretical models for the description and prediction of cognitive activity. Such models are non-linear dynamical descriptions of the interaction of the core components—brain modes—participating in a specific mental function. The dynamical images of different mental processes depend on their temporal features. The dynamics of many cognitive functions are transient. They are often observed as a chain of sequentially changing metastable states. A stable heteroclinic channel (SHC) consisting of a chain of saddles—metastable states—connected by unstable separatrices is a mathematical image for robust transients. In this paper we focus on hierarchical chunking dynamics that can represent several forms of transient cognitive activity. Chunking is a dynamical phenomenon that nature uses to perform information processing of long sequences by dividing them in shorter information items. Chunking, for example, makes more efficient the use of short-term memory by breaking up long strings of information (like in language where one can see the separation of a novel on chapters, paragraphs, sentences, and finally words). Chunking is important in many processes of perception, learning, and cognition in humans and animals. Based on anatomical information about the hierarchical organization of functional brain networks, we propose a cognitive network architecture that hierarchically chunks and super-chunks switching sequences of metastable states produced by winnerless competitive heteroclinic dynamics. PMID:24672469

Chunking dynamics: heteroclinics in mind.

PubMed

Rabinovich, Mikhail I; Varona, Pablo; Tristan, Irma; Afraimovich, Valentin S

2014-01-01

Recent results of imaging technologies and non-linear dynamics make possible to relate the structure and dynamics of functional brain networks to different mental tasks and to build theoretical models for the description and prediction of cognitive activity. Such models are non-linear dynamical descriptions of the interaction of the core components-brain modes-participating in a specific mental function. The dynamical images of different mental processes depend on their temporal features. The dynamics of many cognitive functions are transient. They are often observed as a chain of sequentially changing metastable states. A stable heteroclinic channel (SHC) consisting of a chain of saddles-metastable states-connected by unstable separatrices is a mathematical image for robust transients. In this paper we focus on hierarchical chunking dynamics that can represent several forms of transient cognitive activity. Chunking is a dynamical phenomenon that nature uses to perform information processing of long sequences by dividing them in shorter information items. Chunking, for example, makes more efficient the use of short-term memory by breaking up long strings of information (like in language where one can see the separation of a novel on chapters, paragraphs, sentences, and finally words). Chunking is important in many processes of perception, learning, and cognition in humans and animals. Based on anatomical information about the hierarchical organization of functional brain networks, we propose a cognitive network architecture that hierarchically chunks and super-chunks switching sequences of metastable states produced by winnerless competitive heteroclinic dynamics.

Persistent and contemporaneous effects of job stressors on mental health: a study testing multiple analytic approaches across 13 waves of annually collected cohort data.

PubMed

Milner, Allison; Aitken, Zoe; Kavanagh, Anne; LaMontagne, Anthony D; Petrie, Dennis

2016-11-01

This study investigated the extent that psychosocial job stressors had lasting effects on a scaled measure of mental health. We applied econometric approaches to a longitudinal cohort to: (1) control for unmeasured individual effects; (2) assess the role of prior (lagged) exposures of job stressors on mental health and (3) the persistence of mental health. We used a panel study with 13 annual waves and applied fixed-effects, first-difference and fixed-effects Arellano-Bond models. The Short Form 36 (SF-36) Mental Health Component Summary score was the outcome variable and the key exposures included: job control, job demands, job insecurity and fairness of pay. Results from the Arellano-Bond models suggest that greater fairness of pay (β-coefficient 0.34, 95% CI 0.23 to 0.45), job control (β-coefficient 0.15, 95% CI 0.10 to 0.20) and job security (β-coefficient 0.37, 95% CI 0.32 to 0.42) were contemporaneously associated with better mental health. Similar results were found for the fixed-effects and first-difference models. The Arellano-Bond model also showed persistent effects of individual mental health, whereby individuals' previous reports of mental health were related to their reporting in subsequent waves. The estimated long-run impact of job demands on mental health increased after accounting for time-related dynamics, while there were more minimal impacts for the other job stressor variables. Our results showed that the majority of the effects of psychosocial job stressors on a scaled measure of mental health are contemporaneous except for job demands where accounting for the lagged dynamics was important. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Modeling Common-Sense Decisions in Artificial Intelligence

NASA Technical Reports Server (NTRS)

Zak, Michail

2010-01-01

A methodology has been conceived for efficient synthesis of dynamical models that simulate common-sense decision- making processes. This methodology is intended to contribute to the design of artificial-intelligence systems that could imitate human common-sense decision making or assist humans in making correct decisions in unanticipated circumstances. This methodology is a product of continuing research on mathematical models of the behaviors of single- and multi-agent systems known in biology, economics, and sociology, ranging from a single-cell organism at one extreme to the whole of human society at the other extreme. Earlier results of this research were reported in several prior NASA Tech Briefs articles, the three most recent and relevant being Characteristics of Dynamics of Intelligent Systems (NPO -21037), NASA Tech Briefs, Vol. 26, No. 12 (December 2002), page 48; Self-Supervised Dynamical Systems (NPO-30634), NASA Tech Briefs, Vol. 27, No. 3 (March 2003), page 72; and Complexity for Survival of Living Systems (NPO- 43302), NASA Tech Briefs, Vol. 33, No. 7 (July 2009), page 62. The methodology involves the concepts reported previously, albeit viewed from a different perspective. One of the main underlying ideas is to extend the application of physical first principles to the behaviors of living systems. Models of motor dynamics are used to simulate the observable behaviors of systems or objects of interest, and models of mental dynamics are used to represent the evolution of the corresponding knowledge bases. For a given system, the knowledge base is modeled in the form of probability distributions and the mental dynamics is represented by models of the evolution of the probability densities or, equivalently, models of flows of information. Autonomy is imparted to the decisionmaking process by feedback from mental to motor dynamics. This feedback replaces unavailable external information by information stored in the internal knowledge base. Representation of the dynamical models in a parameterized form reduces the task of common-sense-based decision making to a solution of the following hetero-associated-memory problem: store a set of m predetermined stochastic processes given by their probability distributions in such a way that when presented with an unexpected change in the form of an input out of the set of M inputs, the coupled motormental dynamics converges to the corresponding one of the m pre-assigned stochastic process, and a sample of this process represents the decision.

Invariant measures in brain dynamics

NASA Astrophysics Data System (ADS)

Boyarsky, Abraham; Góra, Paweł

2006-10-01

This note concerns brain activity at the level of neural ensembles and uses ideas from ergodic dynamical systems to model and characterize chaotic patterns among these ensembles during conscious mental activity. Central to our model is the definition of a space of neural ensembles and the assumption of discrete time ensemble dynamics. We argue that continuous invariant measures draw the attention of deeper brain processes, engendering emergent properties such as consciousness. Invariant measures supported on a finite set of ensembles reflect periodic behavior, whereas the existence of continuous invariant measures reflect the dynamics of nonrepeating ensemble patterns that elicit the interest of deeper mental processes. We shall consider two different ways to achieve continuous invariant measures on the space of neural ensembles: (1) via quantum jitters, and (2) via sensory input accompanied by inner thought processes which engender a “folding” property on the space of ensembles.

Complexity for Survival of Living Systems

NASA Technical Reports Server (NTRS)

Zak, Michail

2009-01-01

A logical connection between the survivability of living systems and the complexity of their behavior (equivalently, mental complexity) has been established. This connection is an important intermediate result of continuing research on mathematical models that could constitute a unified representation of the evolution of both living and non-living systems. Earlier results of this research were reported in several prior NASA Tech Briefs articles, the two most relevant being Characteristics of Dynamics of Intelligent Systems (NPO- 21037), NASA Tech Briefs, Vol. 26, No. 12 (December 2002), page 48; and Self-Supervised Dynamical Systems (NPO- 30634) NASA Tech Briefs, Vol. 27, No. 3 (March 2003), page 72. As used here, living systems is synonymous with active systems and intelligent systems. The quoted terms can signify artificial agents (e.g., suitably programmed computers) or natural biological systems ranging from single-cell organisms at one extreme to the whole of human society at the other extreme. One of the requirements that must be satisfied in mathematical modeling of living systems is reconciliation of evolution of life with the second law of thermodynamics. In the approach followed in this research, this reconciliation is effected by means of a model, inspired partly by quantum mechanics, in which the quantum potential is replaced with an information potential. The model captures the most fundamental property of life - the ability to evolve from disorder to order without any external interference. The model incorporates the equations of classical dynamics, including Newton s equations of motion and equations for random components caused by uncertainties in initial conditions and by Langevin forces. The equations of classical dynamics are coupled with corresponding Liouville or Fokker-Planck equations that describe the evolutions of probability densities that represent the uncertainties. The coupling is effected by fictitious information-based forces that are gradients of the information potential, which, in turn, is a function of the probability densities. The probability densities are associated with mental images both self-image and nonself images (images of external objects that can include other agents). The evolution of the probability densities represents mental dynamics. Then the interaction between the physical and metal aspects of behavior is implemented by feedback from mental to motor dynamics, as represented by the aforementioned fictitious forces. The interaction of a system with its self and nonself images affords unlimited capacity for increase of complexity. There is a biological basis for this model of mental dynamics in the discovery of mirror neurons that learn by imitation. The levels of complexity attained by use of this model match those observed in living systems. To establish a mechanism for increasing the complexity of dynamics of an active system, the model enables exploitation of a chain of reflections exemplified by questions of the form, "What do you think that I think that you think...?" Mathematically, each level of reflection is represented in the form of an attractor performing the corresponding level of abstraction with more details removed from higher levels. The model can be used to describe the behaviors, not only of biological systems, but also of ecological, social, and economics ones.

Toward Dynamic Adaptation of Psychological Interventions for Child and Adolescent Development and Mental Health.

PubMed

Malti, Tina; Noam, Gil G; Beelmann, Andreas; Sommer, Simon

2016-01-01

Children's and adolescents' mental health needs emphasize the necessity of a new era of translational research to enhance development and yield better lives for children, families, and communities. Developmental, clinical, and translational research serves as a powerful tool for managing the inevitable complexities in pursuit of these goals. This article proposes key ideas that will strengthen current evidence-based intervention practices by creating stronger links between research, practice, and complex systems contexts, with the potential of extending applicability, replicability, and impact. As exemplified in some of the articles throughout this special issue, new research and innovative implementation models will likely contribute to better ways of assessing and dynamically adapting structure and intervention practice within mental health systems. We contend that future models for effective interventions with children and adolescents will involve increased attention to (a) the connection of research on the developmental needs of children and adolescents to practice models; (b) consideration of informed contextual and cultural adaptation in implementation; and (c) a rational model of evidence-based planning, using a dynamic, inclusive approach with high support for adaptation, flexibility, and implementation fidelity. We discuss future directions for translational research for researchers, practitioners, and administrators in the field to continue and transform these ideas and their illustrations.

Quantum-like dynamics applied to cognition: a consideration of available options

NASA Astrophysics Data System (ADS)

Broekaert, Jan; Basieva, Irina; Blasiak, Pawel; Pothos, Emmanuel M.

2017-10-01

Quantum probability theory (QPT) has provided a novel, rich mathematical framework for cognitive modelling, especially for situations which appear paradoxical from classical perspectives. This work concerns the dynamical aspects of QPT, as relevant to cognitive modelling. We aspire to shed light on how the mind's driving potentials (encoded in Hamiltonian and Lindbladian operators) impact the evolution of a mental state. Some existing QPT cognitive models do employ dynamical aspects when considering how a mental state changes with time, but it is often the case that several simplifying assumptions are introduced. What kind of modelling flexibility does QPT dynamics offer without any simplifying assumptions and is it likely that such flexibility will be relevant in cognitive modelling? We consider a series of nested QPT dynamical models, constructed with a view to accommodate results from a simple, hypothetical experimental paradigm on decision-making. We consider Hamiltonians more complex than the ones which have traditionally been employed with a view to explore the putative explanatory value of this additional complexity. We then proceed to compare simple models with extensions regarding both the initial state (e.g. a mixed state with a specific orthogonal decomposition; a general mixed state) and the dynamics (by introducing Hamiltonians which destroy the separability of the initial structure and by considering an open-system extension). We illustrate the relations between these models mathematically and numerically. This article is part of the themed issue `Second quantum revolution: foundational questions'.

Hierarchical Heteroclinics in Dynamical Model of Cognitive Processes: Chunking

NASA Astrophysics Data System (ADS)

Afraimovich, Valentin S.; Young, Todd R.; Rabinovich, Mikhail I.

Combining the results of brain imaging and nonlinear dynamics provides a new hierarchical vision of brain network functionality that is helpful in understanding the relationship of the network to different mental tasks. Using these ideas it is possible to build adequate models for the description and prediction of different cognitive activities in which the number of variables is usually small enough for analysis. The dynamical images of different mental processes depend on their temporal organization and, as a rule, cannot be just simple attractors since cognition is characterized by transient dynamics. The mathematical image for a robust transient is a stable heteroclinic channel consisting of a chain of saddles connected by unstable separatrices. We focus here on hierarchical chunking dynamics that can represent several cognitive activities. Chunking is the dynamical phenomenon that means dividing a long information chain into shorter items. Chunking is known to be important in many processes of perception, learning, memory and cognition. We prove that in the phase space of the model that describes chunking there exists a new mathematical object — heteroclinic sequence of heteroclinic cycles — using the technique of slow-fast approximations. This new object serves as a skeleton of motions reflecting sequential features of hierarchical chunking dynamics and is an adequate image of the chunking processing.

Visualizations and Mental Models - The Educational Implications of GEOWALL

NASA Astrophysics Data System (ADS)

Rapp, D.; Kendeou, P.

2003-12-01

Work in the earth sciences has outlined many of the faulty beliefs that students possess concerning particular geological systems and processes. Evidence from educational and cognitive psychology has demonstrated that students often have difficulty overcoming their na‹ve beliefs about science. Prior knowledge is often remarkably resistant to change, particularly when students' existing mental models for geological principles may be faulty or inaccurate. Figuring out how to help students revise their mental models to include appropriate information is a major challenge. Up until this point, research has tended to focus on whether 2-dimensional computer visualizations are useful tools for helping students develop scientifically correct models. Research suggests that when students are given the opportunity to use dynamic computer-based visualizations, they are more likely to recall the learned information, and are more likely to transfer that knowledge to novel settings. Unfortunately, 2-dimensional visualization systems are often inadequate representations of the material that educators would like students to learn. For example, a 2-dimensional image of the Earth's surface does not adequately convey particular features that are critical for visualizing the geological environment. This may limit the models that students can construct following these visualizations. GEOWALL is a stereo projection system that has attempted to address this issue. It can display multidimensional static geologic images and dynamic geologic animations in a 3-dimensional format. Our current research examines whether multidimensional visualization systems such as GEOWALL may facilitate learning by helping students to develop more complex mental models. This talk will address some of the cognitive issues that influence the construction of mental models, and the difficulty of updating existing mental models. We will also discuss our current work that seeks to examine whether GEOWALL is an effective tool for helping students to learn geological information (and potentially restructure their na‹ve conceptions of geologic principles).

An Application of the Theory of Open Quantum Systems to Model the Dynamics of Party Governance in the US Political System

NASA Astrophysics Data System (ADS)

Khrennikova, Polina; Haven, Emmanuel; Khrennikov, Andrei

2014-04-01

The Gorini-Kossakowski-Sudarshan-Lindblad equation allows us to model the process of decision making in US elections. The crucial point we attempt to make is that the voter's mental state can be represented as a superposition of two possible choices for either republicans or democrats. However, reality dictates a more complicated situation: typically a voter participates in two elections, i.e. the congress and the presidential elections. In both elections the voter has to decide between two choices. This very feature of the US election system requires that the mental state is represented by a 2-qubit state corresponding to the superposition of 4 different choices. The main issue is to describe the dynamics of the voters' mental states taking into account the mental and political environment. What is novel in this paper is that we apply the theory of open quantum systems to social science. The quantum master equation describes the resolution of uncertainty (represented in the form of superposition) to a definite choice.

Social inequality in physical and mental health comorbidity dynamics.

PubMed

Sacker, Amanda; Head, Jenny; Gimeno, David; Bartley, Mel

2009-09-01

To examine how socioeconomic position influences physical and mental health dynamics. The Whitehall II study of civil servants collected questionnaires on six occasions from 1991/93 to 2006/07. Civil service grade measured socioeconomic position and Short Form 36 General Health Survey component scores rated physical and mental health. Bivariate growth curve models of physical and mental health over 15 years were estimated for high, medium, and low grades (n = 8309). At baseline, levels of physical and mental health were correlated for participants in low grades only. Among study participants in medium grades, mental health was maintained over time, even as physical health decreased. Restoring mental health after a negative response to poor physical health was more difficult for some in low grades. Recovery from downturns in physical health associated with poorer mental health also depended on better socioeconomic circumstances There was greater variability in baseline levels and rates of change in the mental and physical health of those in lower grades compared with higher grades. Homeostatic mechanisms may vary by socioeconomic position. The greater variability of change in health function for those in lower grades implies considerable scope for improvement if sources of variation in health within disadvantaged groups that are amenable to intervention can be identified.

The Reciprocal Relationship Between Social Connectedness and Mental Health Among Older European Adults: A SHARE-Based Analysis.

PubMed

Schwartz, Ella; Litwin, Howard

2017-11-04

The current study aimed to understand the reciprocal relationship between social networks and mental health in old age. It explored the dynamic aspects of that relationship and assessed the influence of social networks on mental health, as well as a concurrent influence of mental health on change in social connectedness. The data came from two measurement points in the Survey of Health, Aging and Retirement in Europe (SHARE). The analytic sample was composed of adults aged 65 years and above (N = 14,706). Analyses were conducted via latent change score models. Analyses showed a reciprocal association between social networks and mental health; baseline social connectedness led to mental health improvements and a better initial mental state led to richer social networks. The results further indicated that the relative effect of mental health on change in social network connectedness was greater than the corresponding effect of social network connectedness on change in mental health. No gender differences were found regarding the reciprocal associations. The results of this study demonstrate the dynamic inter-relationship of social networks and mental health. It highlights the need to take into account both directions of influence when studying the impact of social relationships on mental health. © The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Cultural aspects within caregiver interactions of ultra-orthodox Jewish women and their family members with mental illness.

PubMed

Weiss, Penina; Shor, Ron; Hadas-Lidor, Naomi

2013-10-01

The role of cultural dynamics and norms within families of persons with mental illness has been an underexplored subject, although the familial context has been recognized as influential. This subject was studied with 24 ultra-Orthodox Jewish mothers of persons with mental illness who live in a relatively closed religious community. While participating in the Keshet educational program designed for family caregivers in mental health, they wrote Meaningful Interactional Life Episodes that involved a dialogue exchange in their lives. Qualitative analysis of 50 episodes illuminates the significant role that religious and cultural norms have in the perceptions of what are considered stressors and the dynamics in these families surrounding these stressors. The necessity and value of incorporating cultural competence into family educational programs and interventions is emphasized, as this may contribute to the potential use and success of mental health service models within a population that essentially underutilizes these services. © 2013 American Orthopsychiatric Association.

The utility of estimating population-level trajectories of terminal wellbeing decline within a growth mixture modelling framework.

PubMed

Burns, R A; Byles, J; Magliano, D J; Mitchell, P; Anstey, K J

2015-03-01

Mortality-related decline has been identified across multiple domains of human functioning, including mental health and wellbeing. The current study utilised a growth mixture modelling framework to establish whether a single population-level trajectory best describes mortality-related changes in both wellbeing and mental health, or whether subpopulations report quite different mortality-related changes. Participants were older-aged (M = 69.59 years; SD = 8.08 years) deceased females (N = 1,862) from the dynamic analyses to optimise ageing (DYNOPTA) project. Growth mixture models analysed participants' responses on measures of mental health and wellbeing for up to 16 years from death. Multi-level models confirmed overall terminal decline and terminal drop in both mental health and wellbeing. However, modelling data from the same participants within a latent class growth mixture framework indicated that most participants reported stability in mental health (90.3 %) and wellbeing (89.0 %) in the years preceding death. Whilst confirming other population-level analyses which support terminal decline and drop hypotheses in both mental health and wellbeing, we subsequently identified that most of this effect is driven by a small, but significant minority of the population. Instead, most individuals report stable levels of mental health and wellbeing in the years preceding death.

Mental health selection and income support dynamics: multiple spell discrete-time survival analyses of welfare receipt.

PubMed

Kiely, Kim M; Butterworth, Peter

2014-04-01

The higher occurrence of common psychiatric disorders among welfare recipients has been attributed to health selection, social causation and underlying vulnerability. The aims of this study were to test for the selection effects of mental health problems on entry and re-entry to working-age welfare payments in respect to single parenthood, unemployment and disability. Nationally representative longitudinal data were drawn from the Household Income and Labour Dynamics in Australia survey. Multiple spell discrete-time survival analyses were conducted using multinomial logistic regression models to test if pre-existing mental health problems predicted transitions to welfare. Analyses were stratified by sex and multivariate adjusted for mental health problems, father's occupation, socioeconomic position, marital status, employment history, smoking status and alcohol consumption, physical function and financial hardship. All covariates were modelled as either lagged effects or when a respondent was first observed to be at risk of income support. Mental health problems were associated with increased risk of entry and re-entry to disability, unemployment and single parenting payments for women, and disability and unemployment payments for men. These associations were attenuated but remained significant after adjusting for contemporaneous risk factors. Although we do not control for reciprocal causation, our findings are consistent with a health selection hypothesis and indicate that mental illness may be a contributing factor to later receipt of different types of welfare payments. We argue that mental health warrants consideration in the design and targeting of social and economic policies.

Implementing the dynamic appraisal of situational aggression in mental health units.

PubMed

Lantta, Tella; Daffern, Michael; Kontio, Raija; Välimäki, Maritta

2015-01-01

The aims of this study are to explain the intervention of implementing a structured violence risk assessment procedure in mental health inpatient units using the Ottawa Model of Research Use (OMRU) as a guiding framework and to consider nurses' perspectives of its clinical utility and implementation process. Patient aggression toward staff is a global concern in mental health units. The limited extant literature exploring the use of structured violence risk assessments in mental health units, although small and inconsistent, reveals some positive impacts on the incidence of aggression and staff's use of restrictive interventions. Although numerous violence risk assessment instruments have been developed and tested, their systematic implementation and use are still limited. A project titled "Safer Working Management" (111298) was conducted in a Finnish hospital district, across 3 mental health units. The 6 steps of OMRU were followed during implementation of the Dynamic Appraisal of Situational Aggression (DASA). Nurses' views toward structured violence risk assessment procedures varied. Although implementation of the DASA was seen as a useful method to increase discussions with patients and nursing staff, some staff preferred their own clinical judgment for assessment of violence risk. It is possible to use a specific model to promote the implementation of risk assessment instruments in mental health units. However, the complex mental health inpatient environment and the difficulties in understanding and managing aggressive patients present challenges for the implementation of structured violence risk assessment methods. The OMRU provides a tool for clinical nurse specialists to guide implementation process in mental health units. Clinical nurse specialists must promote training for staff regarding use of new innovations, such as the DASA. Implementation processes should be reviewed so that clinical nurse specialists can lead and support mental health staff to properly use structured violence risk assessment measures.

A predictive model of nuclear power plant crew decision-making and performance in a dynamic simulation environment

NASA Astrophysics Data System (ADS)

Coyne, Kevin Anthony

The safe operation of complex systems such as nuclear power plants requires close coordination between the human operators and plant systems. In order to maintain an adequate level of safety following an accident or other off-normal event, the operators often are called upon to perform complex tasks during dynamic situations with incomplete information. The safety of such complex systems can be greatly improved if the conditions that could lead operators to make poor decisions and commit erroneous actions during these situations can be predicted and mitigated. The primary goal of this research project was the development and validation of a cognitive model capable of simulating nuclear plant operator decision-making during accident conditions. Dynamic probabilistic risk assessment methods can improve the prediction of human error events by providing rich contextual information and an explicit consideration of feedback arising from man-machine interactions. The Accident Dynamics Simulator paired with the Information, Decision, and Action in a Crew context cognitive model (ADS-IDAC) shows promise for predicting situational contexts that might lead to human error events, particularly knowledge driven errors of commission. ADS-IDAC generates a discrete dynamic event tree (DDET) by applying simple branching rules that reflect variations in crew responses to plant events and system status changes. Branches can be generated to simulate slow or fast procedure execution speed, skipping of procedure steps, reliance on memorized information, activation of mental beliefs, variations in control inputs, and equipment failures. Complex operator mental models of plant behavior that guide crew actions can be represented within the ADS-IDAC mental belief framework and used to identify situational contexts that may lead to human error events. This research increased the capabilities of ADS-IDAC in several key areas. The ADS-IDAC computer code was improved to support additional branching events and provide a better representation of the IDAC cognitive model. An operator decision-making engine capable of responding to dynamic changes in situational context was implemented. The IDAC human performance model was fully integrated with a detailed nuclear plant model in order to realistically simulate plant accident scenarios. Finally, the improved ADS-IDAC model was calibrated, validated, and updated using actual nuclear plant crew performance data. This research led to the following general conclusions: (1) A relatively small number of branching rules are capable of efficiently capturing a wide spectrum of crew-to-crew variabilities. (2) Compared to traditional static risk assessment methods, ADS-IDAC can provide a more realistic and integrated assessment of human error events by directly determining the effect of operator behaviors on plant thermal hydraulic parameters. (3) The ADS-IDAC approach provides an efficient framework for capturing actual operator performance data such as timing of operator actions, mental models, and decision-making activities.

[Population models of mental health in the Russian population: assessment of an impact of living conditions and psychiatric care resources].

PubMed

Mitikhin, V G; Yastrebov, V S; Mitikhina, I A

ОBJECTIVE: The development and use of population models of mental health in the Russian population to analyze the relationship between indicators of mental disorders, psychiatric care resources taking into account medical/demographic and socio-economic factors in the period of 1992-2015. The sources of information were: 1) the data of the Russian medical statistics on the main indicators of mental health of the Russian population and psychiatric care resources; 2) government statistics on the demographic and socio-economic situation of the population of Russia during this period. The study used system data analysis, correlation and regression analyses. Linear and nonlinear models with a high level of significance were obtained to assess the impact of socio-economic, health and demographic (population, life expectancy, migration, mortality) factors and resources of the service (primarily, manpower) on the dynamics of the main indicators (prevalence, incidence) of mental health of the population. In recent years, a decline in the prevalence and incidence of the Russian population is a consequence of the scarcity of mental health services, in particular, personnel resources.

Effect of Dynamic Meditation on Mental Health.

PubMed

Iqbal, Naved; Singh, Archana; Aleem, Sheema

2016-02-01

Although traditional meditation has been found to be effective in improving physical and mental health of subjects, there was a paucity of research of the effect of active or dynamic meditation on these variables. Therefore, the present study was aimed at studying the effect of dynamic meditation on mental health of the subjects. Total sample of the present study comprised 60 subjects, 30 each in experimental and control group. Subjects in experimental group were given 21-day training in dynamic meditation. Mental health of the experimental and control group subjects was measured in pre- and post-condition with the help of Mental Health Inventory developed by Jagadish and Srivastava (Mental Health inventory, Manovaigyanik Parikshan Sansthan, Varanasi, 1983). Obtained data were analyzed with the help of ANCOVA. In post-condition, experimental group scored better than control group on integration of personality, autonomy and environmental mastery. Effect sizes of dynamic meditation on these dimensions of mental health were large. However, experimental group and control group did not differ significantly on positive self-evaluation, perception of reality and group-oriented attitude dimensions of mental health in post-condition. Overall, dynamic meditation training was effective in improving mental health of the subjects.

Numeric, Agent-based or System Dynamics Model? Which Modeling Approach is the Best for Vast Population Simulation?

PubMed

Cimler, Richard; Tomaskova, Hana; Kuhnova, Jitka; Dolezal, Ondrej; Pscheidl, Pavel; Kuca, Kamil

2018-01-01

Alzheimer's disease is one of the most common mental illnesses. It is posited that more than 25% of the population is affected by some mental disease during their lifetime. Treatment of each patient draws resources from the economy concerned. Therefore, it is important to quantify the potential economic impact. Agent-based, system dynamics and numerical approaches to dynamic modeling of the population of the European Union and its patients with Alzheimer's disease are presented in this article. Simulations, their characteristics, and the results from different modeling tools are compared. The results of these approaches are compared with EU population growth predictions from the statistical office of the EU by Eurostat. The methodology of a creation of the models is described and all three modeling approaches are compared. The suitability of each modeling approach for the population modeling is discussed. In this case study, all three approaches gave us the results corresponding with the EU population prediction. Moreover, we were able to predict the number of patients with AD and, based on the modeling method, we were also able to monitor different characteristics of the population. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Hierarchical nonlinear dynamics of human attention.

PubMed

Rabinovich, Mikhail I; Tristan, Irma; Varona, Pablo

2015-08-01

Attention is the process of focusing mental resources on a specific cognitive/behavioral task. Such brain dynamics involves different partially overlapping brain functional networks whose interconnections change in time according to the performance stage, and can be stimulus-driven or induced by an intrinsically generated goal. The corresponding activity can be described by different families of spatiotemporal discrete patterns or sequential dynamic modes. Since mental resources are finite, attention modalities compete with each other at all levels of the hierarchy, from perception to decision making and behavior. Cognitive activity is a dynamical process and attention possesses some universal dynamical characteristics. Thus, it is time to apply nonlinear dynamical theory for the description and prediction of hierarchical attentional tasks. Such theory has to include the analyses of attentional control stability, the time cost of attention switching, the finite capacity of informational resources in the brain, and the normal and pathological bifurcations of attention sequential dynamics. In this paper we have integrated today's knowledge, models and results in these directions. Copyright © 2015 Elsevier Ltd. All rights reserved.

[Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].

PubMed

Pezard, L; Nandrino, J L

2001-01-01

For the last thirty years, progress in the field of physics, known as "Chaos theory"--or more precisely: non-linear dynamical systems theory--has increased our understanding of complex systems dynamics. This framework's formalism is general enough to be applied in other domains, such as biology or psychology, where complex systems are the rule rather than the exception. Our goal is to show here that this framework can become a valuable tool in scientific fields such as neuroscience and psychiatry where objects possess natural time dependency (i.e. dynamical properties) and non-linear characteristics. The application of non-linear dynamics concepts on these topics is more precise than a loose metaphor and can throw a new light on mental functioning and dysfunctioning. A class of neural networks (recurrent neural networks) constitutes an example of the implementation of the dynamical system concept and provides models of cognitive processes (15). The state of activity of the network is represented in its state space and the time evolution of this state is a trajectory in this space. After a period of time those networks settle on an equilibrium (a kind of attractor). The strength of connections between neurons define the number and relations between those attractors. The attractors of the network are usually interpreted as "mental representations". When an initial condition is imposed to the network, the evolution towards an attractor is considered as a model of information processing (27). This information processing is not defined in a symbolic manner but is a result of the interaction between distributed elements. Several properties of dynamical models can be used to define a way where the symbolic properties emerge from physical and dynamical properties (28) and thus they can be candidates for the definition of the emergence of mental properties on the basis of neuronal dynamics (42). Nevertheless, mental properties can also be considered as the result of an underlying dynamics without explicit mention of the neuronal one (47). In that case, dynamical tools can be used to elucidate the Freudian psychodynamics (34, 35). Recurrent neuronal networks have been used to propose interpretation of several mental dysfunctions (12). For example in the case of schizophrenia, it has been proposed that troubles in the cortical pruning during development (13) may cause a decrease in neural network storage ability and lead to the creation of spurious attractors. Those attractors do not correspond to stored memories and attract a large amount of initial conditions: they were thus associated to reality distorsion observed in schizophrenia (14). Nevertheless, the behavior of these models are too simple to be directly compared with real physiological data. In fact, equilibrium attractors are hardly met in biological dynamics. More complex behaviors (such as oscillations or chaos) should thus to be taken into account. The study of chaotic behavior have lead to the development of numerical methods devoted to the analysis of complex time series (17). These methods may be used to characterise the dynamical processes at the time-scales of both the cerebral dynamics and the clinical symptoms variations. The application of these methods to physiological signals have shown that complex behaviors are related to healthy states whereas simple dynamics are related to pathology (8). These studies have thus confirmed the notion of "dynamical disease" (20, 21) which denotes pathological conditions characterised by changes in physiological rhythms. Depression has been studied within this framework (25, 32) in order to define possible changes in brain electrical rhythms related to this trouble and its evolution. It has been shown that controls' brain dynamics is more complex than depressive one and that the recovery of a complex brain activity depends on the number of previous episodes. In the case of the symptoms time evolution, several studies have demonstrated that non-linear dynamical process may be involved in the recurrence of symptoms in troubles such as manic-depressive illness (9) or schizophrenia (51). These observations can contribute to more parcimonious interpretation of the time course of these illnesses than usual theories. In the search of a relationship between brain dynamics and mental troubles, it has been shown in three depressed patients an important correlation between the characteristics of brain dynamics and the intensity of depressive mood (49). This preliminary observation is in accordance with the emergence hypothesis according which changes in neuronal dynamics should be related to changes in mental processes. We reviewed here some theoretical and experimental results related to the use of "physical" dynamical theory in the field of psychopathology. It has been argued that these applications go beyond metaphor and that they are empirically founded. Nevertheless, these studies only constitute first steps on the way of a cautious development and definition of a "dynamical paradigm" in psychopathology. The introduction of concepts from dynamics such as complexity and dynamical changes (i.e. bifurcations) permits a new perspective on function and dysfunction of the mind/brain and the time evolution of symptoms. Moreover, it offers a ground for the hypothesis of the emergence of mental properties on the basis of neuronal dynamics (42). Since this theory can help to throw light on classical problems in psychopathology, we consider that a precise examination of both its theoretical and empirical consequences is requested to define its validity on this topic.

Complex Networks in Psychological Models

NASA Astrophysics Data System (ADS)

Wedemann, R. S.; Carvalho, L. S. A. V. D.; Donangelo, R.

We develop schematic, self-organizing, neural-network models to describe mechanisms associated with mental processes, by a neurocomputational substrate. These models are examples of real world complex networks with interesting general topological structures. Considering dopaminergic signal-to-noise neuronal modulation in the central nervous system, we propose neural network models to explain development of cortical map structure and dynamics of memory access, and unify different mental processes into a single neurocomputational substrate. Based on our neural network models, neurotic behavior may be understood as an associative memory process in the brain, and the linguistic, symbolic associative process involved in psychoanalytic working-through can be mapped onto a corresponding process of reconfiguration of the neural network. The models are illustrated through computer simulations, where we varied dopaminergic modulation and observed the self-organizing emergent patterns at the resulting semantic map, interpreting them as different manifestations of mental functioning, from psychotic through to normal and neurotic behavior, and creativity.

Dynamic Decision Making in Complex Task Environments: Principles and Neural Mechanisms

DTIC Science & Technology

2013-03-01

Dynamical models of cognition . Mathematical models of mental processes. Human performance optimization. U U U U Dr. Jay Myung 703-696-8487 Reset 1...we have continued to develop a neurodynamic theory of decision making, using a combination of computational and experimental approaches, to address...a long history in the field of human cognitive psychology. The theoretical foundations of this research can be traced back to signal detection

Positive Affect and the Complex Dynamics of Human Flourishing

ERIC Educational Resources Information Center

Fredrickson, Barbara L.; Losada, Marcial F.

2005-01-01

Extending B. L. Fredrickson's (1998) broaden-and-build theory of positive emotions and M. Losada's (1999) nonlinear dynamics model of team performance, the authors predict that a ratio of positive to negative affect at or above 2.9 will characterize individuals in flourishing mental health. Participants (N=188) completed an initial survey to…

Nonlinear digital signal processing in mental health: characterization of major depression using instantaneous entropy measures of heartbeat dynamics.

PubMed

Valenza, Gaetano; Garcia, Ronald G; Citi, Luca; Scilingo, Enzo P; Tomaz, Carlos A; Barbieri, Riccardo

2015-01-01

Nonlinear digital signal processing methods that address system complexity have provided useful computational tools for helping in the diagnosis and treatment of a wide range of pathologies. More specifically, nonlinear measures have been successful in characterizing patients with mental disorders such as Major Depression (MD). In this study, we propose the use of instantaneous measures of entropy, namely the inhomogeneous point-process approximate entropy (ipApEn) and the inhomogeneous point-process sample entropy (ipSampEn), to describe a novel characterization of MD patients undergoing affective elicitation. Because these measures are built within a nonlinear point-process model, they allow for the assessment of complexity in cardiovascular dynamics at each moment in time. Heartbeat dynamics were characterized from 48 healthy controls and 48 patients with MD while emotionally elicited through either neutral or arousing audiovisual stimuli. Experimental results coming from the arousing tasks show that ipApEn measures are able to instantaneously track heartbeat complexity as well as discern between healthy subjects and MD patients. Conversely, standard heart rate variability (HRV) analysis performed in both time and frequency domains did not show any statistical significance. We conclude that measures of entropy based on nonlinear point-process models might contribute to devising useful computational tools for care in mental health.

Self-Supervised Dynamical Systems

NASA Technical Reports Server (NTRS)

Zak, Michail

2003-01-01

Some progress has been made in a continuing effort to develop mathematical models of the behaviors of multi-agent systems known in biology, economics, and sociology (e.g., systems ranging from single or a few biomolecules to many interacting higher organisms). Living systems can be characterized by nonlinear evolution of probability distributions over different possible choices of the next steps in their motions. One of the main challenges in mathematical modeling of living systems is to distinguish between random walks of purely physical origin (for instance, Brownian motions) and those of biological origin. Following a line of reasoning from prior research, it has been assumed, in the present development, that a biological random walk can be represented by a nonlinear mathematical model that represents coupled mental and motor dynamics incorporating the psychological concept of reflection or self-image. The nonlinear dynamics impart the lifelike ability to behave in ways and to exhibit patterns that depart from thermodynamic equilibrium. Reflection or self-image has traditionally been recognized as a basic element of intelligence. The nonlinear mathematical models of the present development are denoted self-supervised dynamical systems. They include (1) equations of classical dynamics, including random components caused by uncertainties in initial conditions and by Langevin forces, coupled with (2) the corresponding Liouville or Fokker-Planck equations that describe the evolutions of probability densities that represent the uncertainties. The coupling is effected by fictitious information-based forces, denoted supervising forces, composed of probability densities and functionals thereof. The equations of classical mechanics represent motor dynamics that is, dynamics in the traditional sense, signifying Newton s equations of motion. The evolution of the probability densities represents mental dynamics or self-image. Then the interaction between the physical and metal aspects of a monad is implemented by feedback from mental to motor dynamics, as represented by the aforementioned fictitious forces. This feedback is what makes the evolution of probability densities nonlinear. The deviation from linear evolution can be characterized, in a sense, as an expression of free will. It has been demonstrated that probability densities can approach prescribed attractors while exhibiting such patterns as shock waves, solitons, and chaos in probability space. The concept of self-supervised dynamical systems has been considered for application to diverse phenomena, including information-based neural networks, cooperation, competition, deception, games, and control of chaos. In addition, a formal similarity between the mathematical structures of self-supervised dynamical systems and of quantum-mechanical systems has been investigated.

The Small World of Psychopathology

PubMed Central

Borsboom, Denny; Cramer, Angélique O. J.; Schmittmann, Verena D.; Epskamp, Sacha; Waldorp, Lourens J.

2011-01-01

Background Mental disorders are highly comorbid: people having one disorder are likely to have another as well. We explain empirical comorbidity patterns based on a network model of psychiatric symptoms, derived from an analysis of symptom overlap in the Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV). Principal Findings We show that a) half of the symptoms in the DSM-IV network are connected, b) the architecture of these connections conforms to a small world structure, featuring a high degree of clustering but a short average path length, and c) distances between disorders in this structure predict empirical comorbidity rates. Network simulations of Major Depressive Episode and Generalized Anxiety Disorder show that the model faithfully reproduces empirical population statistics for these disorders. Conclusions In the network model, mental disorders are inherently complex. This explains the limited successes of genetic, neuroscientific, and etiological approaches to unravel their causes. We outline a psychosystems approach to investigate the structure and dynamics of mental disorders. PMID:22114671

Intersection of suicidality and substance abuse among young Asian-American women: implications for developing interventions in young adulthood.

PubMed

Hahm, Hyeouk Chris; Chang, Stephanie Tzu-Han; Tong, Hui Qi; Meneses, Michelle Ann; Yuzbasioglu, Rojda Filiz; Hien, Denise

2014-01-01

The purpose of this paper is to provide a review of the current literature uncovering specific factors associated with self-harm and suicidality among young Asian American women, as well as to present the Fractured Identity Model as a framework for understanding these factors. This paper offers concrete suggestions for the development of culturally competent interventions to target suicidality, substance abuse, and mental illness among young Asian American women. Empirical studies and theory-based papers featured in peer-reviewed journals between 1990 and 2014 were identified through scholarly databases, such as PubMed, MEDLINE, PsycINFO, JSTOR, and Google Scholar. We identified several factors associated with suicidality among young Asian American women: (1) family dynamics, or having lived in a household where parents practice "disempowering parenting styles," (2) substance use/abuse, and (3) untreated mental illness(es), which are exacerbated by the stigma and shame attached to seeking out mental health services. The Fractured Identity Model by Hahm et al. (2014) is presented as a possible pathway from disempowering parenting to suicidal and self-harm behaviors among this population, with substance abuse playing a significant mediating role. Research limitations/implications - Our review focused on Asian American women, substance use among Asian Americans, and mental health among Asian Americans. Literature that focused on Asians living in Asia or elsewhere outside of the USA was excluded from this review; the review was limited to research conducted in the USA and written in the English language. The complex interplay among Asian American culture, family dynamics, gender roles/expectations, and mental health justifies the development of a suicide and substance abuse intervention that is tailored to the culture- and gender-specific needs of Asian Pacific Islander young women. It is imperative for professionals in the fields of public health, mental health, medicine, and substance abuse to proactively combat the "model minority" myth and to design and implement interventions targeting family dynamics, coping with immigration/acculturative stresses, mental illnesses, suicidal behaviors, and substance abuse among Asian-American populations across the developmental lifespan. This paper provides specific suggestions for interventions to adequately respond to the mental health needs of young Asian-American women. These include addressing the cultural stigma and shame of seeking help, underlying family origin issues, and excessive alcohol and drug use as unsafe coping, as well as incorporating empowerment-based and mind-body components to foster an intervention targeting suicidality among Asian-American women in early adulthood.

Intersection of suicidality and substance abuse among young Asian-American women: implications for developing interventions in young adulthood

PubMed Central

Hahm, Hyeouk Chris; Chang, Stephanie Tzu-Han; Tong, Hui Qi; Meneses, Michelle Ann; Yuzbasioglu, Rojda Filiz; Hien, Denise

2014-01-01

Purpose The purpose of this paper is to provide a review of the current literature uncovering specific factors associated with self-harm and suicidality among young Asian American women, as well as to present the Fractured Identity Model as a framework for understanding these factors. This paper offers concrete suggestions for the development of culturally competent interventions to target suicidality, substance abuse, and mental illness among young Asian American women. Design/methodology/approach Empirical studies and theory-based papers featured in peer-reviewed journals between 1990 and 2014 were identified through scholarly databases, such as PubMed, MEDLINE, PsycINFO, JSTOR, and Google Scholar. Findings We identified several factors associated with suicidality among young Asian American women: (1) family dynamics, or having lived in a household where parents practice “disempowering parenting styles,” (2) substance use/abuse, and (3) untreated mental illness(es), which are exacerbated by the stigma and shame attached to seeking out mental health services. The Fractured Identity Model by Hahm et al. (2014) is presented as a possible pathway from disempowering parenting to suicidal and self-harm behaviors among this population, with substance abuse playing a significant mediating role. Research limitations/implications – Our review focused on Asian American women, substance use among Asian Americans, and mental health among Asian Americans. Literature that focused on Asians living in Asia or elsewhere outside of the USA was excluded from this review; the review was limited to research conducted in the USA and written in the English language. Practical implications The complex interplay among Asian American culture, family dynamics, gender roles/expectations, and mental health justifies the development of a suicide and substance abuse intervention that is tailored to the culture- and gender-specific needs of Asian Pacific Islander young women. It is imperative for professionals in the fields of public health, mental health, medicine, and substance abuse to proactively combat the “model minority” myth and to design and implement interventions targeting family dynamics, coping with immigration/acculturative stresses, mental illnesses, suicidal behaviors, and substance abuse among Asian-American populations across the developmental lifespan. Originality/value This paper provides specific suggestions for interventions to adequately respond to the mental health needs of young Asian-American women. These include addressing the cultural stigma and shame of seeking help, underlying family origin issues, and excessive alcohol and drug use as unsafe coping, as well as incorporating empowerment-based and mind-body components to foster an intervention targeting suicidality among Asian-American women in early adulthood. PMID:25031627

Can Facebook Reduce Perceived Anxiety Among College Students? Randomized Controlled Exercise Trial Using the Transtheoretical Model of Behavior Change.

PubMed

Frith, Emily; Loprinzi, Paul

2017-12-08

Recent studies suggest social media may be an attractive strategy to promote mental health and wellness. There remains a need to examine the utility for individually tailored wellness messages posted to social media sites such as Facebook to facilitate positive psychological outcomes. Our aim was to extend the growing body of evidence supporting the potential for social media to enhance mental health. We evaluated the influence of an 8-week social media intervention on anxiety in college students and examined the impact of dynamic (active) versus static (passive) Facebook content on physical activity behaviors. Participants in the static group (n=21) accessed a Facebook page featuring 96 statuses. Statuses were intended to engage cognitive processes followed by behavioral processes of change per the transtheoretical model of behavior change. Content posted on the static Facebook page was identical to the dynamic page; however, the static group viewed all 96 statuses on the first day of the study, while the dynamic group received only 1 to 2 of these status updates per day throughout the intervention. Anxiety was measured using the Overall Anxiety Severity and Impairment Scale (OASIS). Time spent engaging in physical activity was assessed using the International Physical Activity Questionnaire (IPAQ). The OASIS change score for the dynamic Facebook group was statistically significant (P=.003), whereas the change score for the static group was not (P=.48). A statistically significant group-by-time interaction was observed (P=.03). The total IPAQ group-by-time interaction was not statistically significant (P=.06). We observed a decrease in anxiety and increase in total physical activity for the dynamic group only. Dynamic social networking sites, featuring regularly updated content, may be more advantageous than websites that retain static content over time. ClinicalTrials.gov NCT03363737; https://clinicaltrials.gov/ct2/show/NCT03363737 (Archived by WebCite at http://www.webcitation.org/6vXzNbOWJ). ©Emily Frith, Paul Loprinzi. Originally published in JMIR Mental Health (http://mental.jmir.org), 08.12.2017.

Identification of visual evoked response parameters sensitive to pilot mental state

NASA Technical Reports Server (NTRS)

Zacharias, G. L.

1988-01-01

Systems analysis techniques were developed and demonstrated for modeling the electroencephalographic (EEG) steady state visual evoked response (ssVER), for use in EEG data compression and as an indicator of mental workload. The study focused on steady state frequency domain stimulation and response analysis, implemented with a sum-of-sines (SOS) stimulus generator and an off-line describing function response analyzer. Three major tasks were conducted: (1) VER related systems identification material was reviewed; (2) Software for experiment control and data analysis was developed and implemented; and (3) ssVER identification and modeling was demonstrated, via a mental loading experiment. It was found that a systems approach to ssVER functional modeling can serve as the basis for eventual development of a mental workload indicator. The review showed how transient visual evoked response (tVER) and ssVER research are related at the functional level, the software development showed how systems techniques can be used for ssVER characterization, and the pilot experiment showed how a simple model can be used to capture the basic dynamic response of the ssVER, under varying loads.

Mental Illness and Juvenile Offenders

PubMed Central

Underwood, Lee A.; Washington, Aryssa

2016-01-01

Within the past decade, reliance on the juvenile justice system to meet the needs of juvenile offenders with mental health concerns has increased. Due to this tendency, research has been conducted on the effectiveness of various intervention and treatment programs/approaches with varied success. Recent literature suggests that because of interrelated problems involved for youth in the juvenile justice system with mental health issues, a dynamic system of care that extends beyond mere treatment within the juvenile justice system is the most promising. The authors provide a brief overview of the extent to which delinquency and mental illness co-occur; why treatment for these individuals requires a system of care; intervention models; and the juvenile justice systems role in providing mental health services to delinquent youth. Current and future advancements and implications for practitioners are provided. PMID:26901213

REVIEW: Widespread access to predictive models in the motor system: a short review

NASA Astrophysics Data System (ADS)

Davidson, Paul R.; Wolpert, Daniel M.

2005-09-01

Recent behavioural and computational studies suggest that access to internal predictive models of arm and object dynamics is widespread in the sensorimotor system. Several systems, including those responsible for oculomotor and skeletomotor control, perceptual processing, postural control and mental imagery, are able to access predictions of the motion of the arm. A capacity to make and use predictions of object dynamics is similarly widespread. Here, we review recent studies looking at the predictive capacity of the central nervous system which reveal pervasive access to forward models of the environment.

Challenging Cognitive Construals: A Dynamic Alternative to Stable Misconceptions

ERIC Educational Resources Information Center

Gouvea, Julia S.; Simon, Matt R.

2018-01-01

In biology education research, it has been common to model cognition in terms of relatively stable knowledge structures (e.g., mental models, alternative frameworks, deeply held misconceptions). For example, John D. Coley and Kimberley D. Tanner recently proposed that many student difficulties in biology stem from underlying cognitive frameworks…

A Study of Undergraduate Students' Alternative Conceptions of Earth's Interior Using Drawing Tasks

ERIC Educational Resources Information Center

McAllister, Meredith L.

2014-01-01

Learning fundamental geoscience topics such as plate tectonics, earthquakes, and volcanoes requires students to develop a deep understanding of the conceptual models geologists use when describing the structure and dynamics of Earth's interior. Despite the importance of these mental models underlying much of the undergraduate geoscience…

Linking family dynamics and the mental health of Colombian dementia caregivers.

PubMed

Sutter, Megan; Perrin, Paul B; Chang, Yu-Ping; Hoyos, Guillermo Ramirez; Buraye, Jaqueline Arabia; Arango-Lasprilla, Juan Carlos

2014-02-01

This cross-sectional, quantitative, self-report study examined the relationship between family dynamics (cohesion, flexibility, pathology/ functioning, communication, family satisfaction, and empathy) and mental health (depression, burden, stress, and satisfaction with life [SWL]) in 90 dementia caregivers from Colombia. Hierarchical multiple regressions controlling for caregiver demographics found that family dynamics were significantly associated with caregiver depression, stress, and SWL and marginally associated with burden. Within these regressions, empathy was uniquely associated with stress; flexibility with depression and marginally with SWL; and family communication marginally with burden and stress. Nearly all family dynamic variables were bivariately associated with caregiver mental health variables, such that caregivers had stronger mental health when their family dynamics were healthy. Family-systems interventions in global regions with high levels of familism like that in the current study may improve family empathy, flexibility, and communication, thereby producing better caregiver mental health and better informal care for people with dementia.

Development and validation of a prediction algorithm for the onset of common mental disorders in a working population.

PubMed

Fernandez, Ana; Salvador-Carulla, Luis; Choi, Isabella; Calvo, Rafael; Harvey, Samuel B; Glozier, Nicholas

2018-01-01

Common mental disorders are the most common reason for long-term sickness absence in most developed countries. Prediction algorithms for the onset of common mental disorders may help target indicated work-based prevention interventions. We aimed to develop and validate a risk algorithm to predict the onset of common mental disorders at 12 months in a working population. We conducted a secondary analysis of the Household, Income and Labour Dynamics in Australia Survey, a longitudinal, nationally representative household panel in Australia. Data from the 6189 working participants who did not meet the criteria for a common mental disorders at baseline were non-randomly split into training and validation databases, based on state of residence. Common mental disorders were assessed with the mental component score of 36-Item Short Form Health Survey questionnaire (score ⩽45). Risk algorithms were constructed following recommendations made by the Transparent Reporting of a multivariable prediction model for Prevention Or Diagnosis statement. Different risk factors were identified among women and men for the final risk algorithms. In the training data, the model for women had a C-index of 0.73 and effect size (Hedges' g) of 0.91. In men, the C-index was 0.76 and the effect size was 1.06. In the validation data, the C-index was 0.66 for women and 0.73 for men, with positive predictive values of 0.28 and 0.26, respectively Conclusion: It is possible to develop an algorithm with good discrimination for the onset identifying overall and modifiable risks of common mental disorders among working men. Such models have the potential to change the way that prevention of common mental disorders at the workplace is conducted, but different models may be required for women.

Hyperconnectivity and slow synapses during early development of medial prefrontal cortex in a mouse model for mental retardation and autism.

PubMed

Testa-Silva, Guilherme; Loebel, Alex; Giugliano, Michele; de Kock, Christiaan P J; Mansvelder, Huibert D; Meredith, Rhiannon M

2012-06-01

Neuronal theories of neurodevelopmental disorders (NDDs) of autism and mental retardation propose that abnormal connectivity underlies deficits in attentional processing. We tested this theory by studying unitary synaptic connections between layer 5 pyramidal neurons within medial prefrontal cortex (mPFC) networks in the Fmr1-KO mouse model for mental retardation and autism. In line with predictions from neurocognitive theory, we found that neighboring pyramidal neurons were hyperconnected during a critical period in early mPFC development. Surprisingly, excitatory synaptic connections between Fmr1-KO pyramidal neurons were significantly slower and failed to recover from short-term depression as quickly as wild type (WT) synapses. By 4-5 weeks of mPFC development, connectivity rates were identical for both KO and WT pyramidal neurons and synapse dynamics changed from depressing to facilitating responses with similar properties in both groups. We propose that the early alteration in connectivity and synaptic recovery are tightly linked: using a network model, we show that slower synapses are essential to counterbalance hyperconnectivity in order to maintain a dynamic range of excitatory activity. However, the slow synaptic time constants induce decreased responsiveness to low-frequency stimulation, which may explain deficits in integration and early information processing in attentional neuronal networks in NDDs.

Hyperconnectivity and Slow Synapses during Early Development of Medial Prefrontal Cortex in a Mouse Model for Mental Retardation and Autism

PubMed Central

Testa-Silva, Guilherme; Loebel, Alex; Giugliano, Michele; de Kock, Christiaan P.J.; Mansvelder, Huibert D.; Meredith, Rhiannon M.

2013-01-01

Neuronal theories of neurodevelopmental disorders (NDDs) of autism and mental retardation propose that abnormal connectivity underlies deficits in attentional processing. We tested this theory by studying unitary synaptic connections between layer 5 pyramidal neurons within medial prefrontal cortex (mPFC) networks in the Fmr1-KO mouse model for mental retardation and autism. In line with predictions from neurocognitive theory, we found that neighboring pyramidal neurons were hyperconnected during a critical period in early mPFC development. Surprisingly, excitatory synaptic connections between Fmr1-KO pyramidal neurons were significantly slower and failed to recover from short-term depression as quickly as wild type (WT) synapses. By 4--5 weeks of mPFC development, connectivity rates were identical for both KO and WT pyramidal neurons and synapse dynamics changed from depressing to facilitating responses with similar properties in both groups. We propose that the early alteration in connectivity and synaptic recovery are tightly linked: using a network model, we show that slower synapses are essential to counterbalance hyperconnectivity in order to maintain a dynamic range of excitatory activity. However, the slow synaptic time constants induce decreased responsiveness to low-frequency stimulation, which may explain deficits in integration and early information processing in attentional neuronal networks in NDDs. PMID:21856714

Causality in Psychiatry: A Hybrid Symptom Network Construct Model

PubMed Central

Young, Gerald

2015-01-01

Causality or etiology in psychiatry is marked by standard biomedical, reductionistic models (symptoms reflect the construct involved) that inform approaches to nosology, or classification, such as in the DSM-5 [Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition; (1)]. However, network approaches to symptom interaction [i.e., symptoms are formative of the construct; e.g., (2), for posttraumatic stress disorder (PTSD)] are being developed that speak to bottom-up processes in mental disorder, in contrast to the typical top-down psychological construct approach. The present article presents a hybrid top-down, bottom-up model of the relationship between symptoms and mental disorder, viewing symptom expression and their causal complex as a reciprocally dynamic system with multiple levels, from lower-order symptoms in interaction to higher-order constructs affecting them. The hybrid model hinges on good understanding of systems theory in which it is embedded, so that the article reviews in depth non-linear dynamical systems theory (NLDST). The article applies the concept of emergent circular causality (3) to symptom development, as well. Conclusions consider that symptoms vary over several dimensions, including: subjectivity; objectivity; conscious motivation effort; and unconscious influences, and the degree to which individual (e.g., meaning) and universal (e.g., causal) processes are involved. The opposition between science and skepticism is a complex one that the article addresses in final comments. PMID:26635639

Quantum-like dynamics of decision-making

NASA Astrophysics Data System (ADS)

Asano, Masanari; Basieva, Irina; Khrennikov, Andrei; Ohya, Masanori; Tanaka, Yoshiharu

2012-03-01

In cognitive psychology, some experiments for games were reported, and they demonstrated that real players did not use the “rational strategy” provided by classical game theory and based on the notion of the Nasch equilibrium. This psychological phenomenon was called the disjunction effect. Recently, we proposed a model of decision making which can explain this effect (“irrationality” of players) Asano et al. (2010, 2011) [23,24]. Our model is based on the mathematical formalism of quantum mechanics, because psychological fluctuations inducing the irrationality are formally represented as quantum fluctuations Asano et al. (2011) [55]. In this paper, we reconsider the process of quantum-like decision-making more closely and redefine it as a well-defined quantum dynamics by using the concept of lifting channel, which is an important concept in quantum information theory. We also present numerical simulation for this quantum-like mental dynamics. It is non-Markovian by its nature. Stabilization to the steady state solution (determining subjective probabilities for decision making) is based on the collective effect of mental fluctuations collected in the working memory of a decision maker.

Robust Transient Dynamics and Brain Functions

PubMed Central

Rabinovich, Mikhail I.; Varona, Pablo

2011-01-01

In the last few decades several concepts of dynamical systems theory (DST) have guided psychologists, cognitive scientists, and neuroscientists to rethink about sensory motor behavior and embodied cognition. A critical step in the progress of DST application to the brain (supported by modern methods of brain imaging and multi-electrode recording techniques) has been the transfer of its initial success in motor behavior to mental function, i.e., perception, emotion, and cognition. Open questions from research in genetics, ecology, brain sciences, etc., have changed DST itself and lead to the discovery of a new dynamical phenomenon, i.e., reproducible and robust transients that are at the same time sensitive to informational signals. The goal of this review is to describe a new mathematical framework – heteroclinic sequential dynamics – to understand self-organized activity in the brain that can explain certain aspects of robust itinerant behavior. Specifically, we discuss a hierarchy of coarse-grain models of mental dynamics in the form of kinetic equations of modes. These modes compete for resources at three levels: (i) within the same modality, (ii) among different modalities from the same family (like perception), and (iii) among modalities from different families (like emotion and cognition). The analysis of the conditions for robustness, i.e., the structural stability of transient (sequential) dynamics, give us the possibility to explain phenomena like the finite capacity of our sequential working memory – a vital cognitive function –, and to find specific dynamical signatures – different kinds of instabilities – of several brain functions and mental diseases. PMID:21716642

Beyond the “at risk mental state” concept: transitioning to transdiagnostic psychiatry

PubMed Central

McGorry, Patrick D.; Hartmann, Jessica A.; Spooner, Rachael; Nelson, Barnaby

2018-01-01

The “at risk mental state” for psychosis approach has been a catalytic, highly productive research paradigm over the last 25 years. In this paper we review that paradigm and summarize its key lessons, which include the valence of this phenotype for future psychosis outcomes, but also for comorbid, persistent or incident non‐psychotic disorders; and the evidence that onset of psychotic disorder can at least be delayed in ultra high risk (UHR) patients, and that some full‐threshold psychotic disorder may emerge from risk states not captured by UHR criteria. The paradigm has also illuminated risk factors and mechanisms involved in psychosis onset. However, findings from this and related paradigms indicate the need to develop new identification and diagnostic strategies. These findings include the high prevalence and impact of mental disorders in young people, the limitations of current diagnostic systems and risk identification approaches, the diffuse and unstable symptom patterns in early stages, and their pluripotent, transdiagnostic trajectories. The approach we have recently adopted has been guided by the clinical staging model and adapts the original “at risk mental state” approach to encompass a broader range of inputs and output target syndromes. This approach is supported by a number of novel modelling and prediction strategies that acknowledge and reflect the dynamic nature of psychopathology, such as dynamical systems theory, network theory, and joint modelling. Importantly, a broader transdiagnostic approach and enhancing specific prediction (profiling or increasing precision) can be achieved concurrently. A holistic strategy can be developed that applies these new prediction approaches, as well as machine learning and iterative probabilistic multimodal models, to a blend of subjective psychological data, physical disturbances (e.g., EEG measures) and biomarkers (e.g., neuroinflammation, neural network abnormalities) acquired through fine‐grained sequential or longitudinal assessments. This strategy could ultimately enhance our understanding and ability to predict the onset, early course and evolution of mental ill health, further opening pathways for preventive interventions. PMID:29856558

Departures from Axisymmetric Balance Dynamics during Secondary Eyewall Formation

DTIC Science & Technology

2014-10-01

tensification of Hurricane Opal as diagnosed from a GFDL model forecast. Mon. Wea. Rev., 130, 1866–1881, doi:10.1175/ 1520-0493(2002)130,1866:BCTTIO...2002: Environ- mental interactions in the GFDL hurricane model for Hurri- cane Opal . Mon. Wea. Rev., 130, 298–317, doi:10.1175/ 1520-0493(2002

Elementary Students' Mental Models of the Solar System

ERIC Educational Resources Information Center

Calderon-Canales, Elena; Flores-Camacho, Fernando; Gallegos-Cazares, Leticia

2013-01-01

This research project aimed to identify and analyze Mexican primary school students' ideas about the components of the solar system. In particular, this study focused on conceptions of the solar system and representations of the dynamics of the solar system based on the functional and structural models that students make in school. Using a…

Setting-based interventions to promote mental health at the university: a systematic review.

PubMed

Fernandez, A; Howse, E; Rubio-Valera, M; Thorncraft, K; Noone, J; Luu, X; Veness, B; Leech, M; Llewellyn, G; Salvador-Carulla, L

2016-09-01

Universities are dynamic environments. But university life presents challenges that may affect the mental health of its community. Higher education institutions provide opportunities to promote public health. Our objective is to summarise the current evidence on strategies to promote mental health at the university, following a setting-based model. We conducted a systematic literature review following standard methods. Published literature that evaluated structural and organizations strategies to promote mental health at the university was selected. 19 papers were included. The majority of the studies were targeting the students, with only four aiming to promote employees' mental health. The most promising strategies to promote mental wellbeing included changes in the way students are taught and assessed. On the other hand, social marketing strategies had not impact on mental health. There is inconclusive evidence related to the effectiveness of policies to promote mental health. Universities should invest in creating supportive physical, social and academic environments that promote student and staff mental wellbeing. However, the current body of evidence is scarce and more research is needed to recommend what are the best strategies.

Factors that influence the professional resilience of occupational therapists in mental health practice.

PubMed

Ashby, Samantha E; Ryan, Susan; Gray, Mel; James, Carole

2013-04-01

Mental health practice can create challenging environments for occupational therapists. This study explores the dynamic processes involved in the development and maintenance of professional resilience of experienced mental health occupational therapy practitioners. It presents the PRIOrity model that summarises the dynamic relationship between professional resilience, professional identity and occupation-based practice. A narrative inquiry methodology with two phases of interviews was used to collect the data from nine experienced mental health practitioners. Narrative thematic analysis was used to interpret the data. Professional resilience was linked to: (i) professional identity which tended to be negatively influenced in contexts dominated by biomedical models and psychological theories; (ii) expectations on occupational therapists to work outside their professional domains and use generic knowledge; and (iii) lack of validation of occupation-focussed practice. Professional resilience was sustained by strategies that maintained participants' professional identity. These strategies included seeking 'good' supervision, establishing support networks and finding a job that allowed a match between valued knowledge and opportunities to use it in practice. For occupational therapists professional resilience is sustained and enhanced by a strong professional identity and valuing an occupational perspective of health. Strategies that encourage reflection on the theoretical knowledge underpinning practice can sustain resilience. These include supervision, in-service meetings and informal socialisation. Further research is required into the role discipline-specific theories play in sustaining professional values and identity. The development of strategies to enhance occupational therapists' professional resilience may assist in the retention of occupational therapists in the mental health workforce. © 2012 The Authors Australian Occupational Therapy Journal © 2012 Occupational Therapy Australia.

Supporting mental health in South African HIV-affected communities: primary health care professionals’ understandings and responses

PubMed Central

Burgess, Rochelle Ann

2015-01-01

How do practitioners respond to the mental distress of HIV-affected women and communities? And do their understandings of patients’ distress matter? The World Health Organization (WHO) along with advocates from the Movement for Global Mental Health (MGMH) champion a primary mental health care model to address burgeoning mental health needs in resource-poor HIV-affected settings. Whilst a minority of studies have begun to explore interventions to target this group of women, there is a dearth of studies that explore the broader contexts that will likely shape service outcomes, such as health sector dynamics and competing definitions of mental ill-health. This study reports on an in-depth case study of primary mental health services in a rural HIV-affected community in Northern KwaZulu-Natal. Health professionals identified as the frontline staff working within the primary mental health care model (n = 14) were interviewed. Grounded thematic analysis of interview data highlighted that practitioners employed a critical and socially anchored framework for understanding their patients’ needs. Poverty, gender and family relationships were identified as intersecting factors driving HIV-affected patients’ mental distress. In a divergence from existing evidence, practitioner efforts to act on their understandings of patient needs prioritized social responses over biomedical ones. To achieve this whilst working within a primary mental health care model, practitioners employed a series of modifications to services to increase their ability to target the sociostructural realities facing HIV-affected women with mental health issues. This article suggests that beyond attention to the crucial issues of funding and human resources that face primary mental health care, attention must also be paid to promoting the development of policies that provide practitioners with increased and more consistent opportunities to address the complex social realities that frame the mental distress of HIV-affected women. PMID:25161270

[The use of biological age on mental work capacity model in accelerated aging assessment of professional lorry-drivers].

PubMed

Bashkireva, A S

2012-01-01

The studies of biological age, aging rate, mental work capacity in professional drivers were conducted. The examination revealed peculiarities of system organization of functions determining the mental work capacity levels. Dynamics of the aging process of professional driver's organism in relation with calendar age and driving experience were shown using the biological age model. The results point at the premature decrease of the mental work capacity in professional drivers. It was proved, that premature age-related changes of physiologic and psychophysiologic indices in drivers are just "risk indicators", while long driving experience is a real risk factor, accelerating the aging process. The "risk group" with manifestations of accelerating aging was observed in 40-49-year old drivers with 15-19 years of professional experience. The expediency of using the following methods for the age rate estimation according to biologic age indices and necessity of prophylactic measures for premature and accelerated aging prevention among working population was demonstrated.

[The structure of psychopathology associated with addictive disorders, against alcohol addiction and the possibility of it's neurometabolic correction in the elderly].

PubMed

Belov, V G; Parfenov, Iu A; Zaplutanov, V A; Khaĭrutdinov, D R

2013-01-01

The article presents the analysis of the structure and dynamics of psychopathology associated with addictive disorders in elderly patients with alcohol dependence. In terms of syndromic approach the structure of neurotic disease in elderly patients with a verified diagnosis of mental and behavioral disorders associated with alcohol consumption was evaluated. In the overall structure of neurotic pathology in these patients the analysis of symptoms of neurotic diseases, the research of the structure of syndromes and their dynamics were carried out, as well as the patient's attitude to the disease and to its manifestations was determined. A factor model of the pathogenesis of neurotic pathology connected with mental and behavioral disorders due to alcohol use in elderly patients was developed. The high clinical effectiveness of the drug "Cytoflavin" used in the reduction of psychiatric symptoms in patients aged from 62 to 74 years with a diagnosis of mental and behavioral disorders associated with alcohol consumption has been shown.

Sustaining Competitive Advantage: Mental Models and Organizational Learning for Future Marines

DTIC Science & Technology

2007-01-01

Soft Systems Methodology : Other Voices.” Systemic Practice and Action Research. 13, no. 6, (2000): 773. Larsen, Kai R. T., Claire McInerney...30. Mingers, John. “An Idea Ahead of Its Time: The History and Development of Soft Systems Methodology .” Systemic Practice and Action...Soft System Dynamics Methodology (SSDM): Combinging Soft Systems Methodology (SSM) and System Dynamics (SD).” Systemic Practice and Action

Cohesion, team mental models, and collective efficacy: towards an integrated framework of team dynamics in sport.

PubMed

Filho, Edson; Tenenbaum, Gershon; Yang, Yanyun

2015-01-01

A nomological network on team dynamics in sports consisting of a multiframework perspective is introduced and tested. The aim was to explore the interrelationship among cohesion, team mental models (TMMs), collective efficacy (CE) and perceived performance potential (PPP). Three hundred and forty college-aged soccer players representing 17 different teams (8 female and 9 male) participated in the study. They responded to surveys on team cohesion, TMMs, CE and PPP. Results are congruent with the theoretical conceptualisation of a parsimonious view of team dynamics in sports. Specifically, cohesion was found to be an exogenous variable predicting both TMMs and CE beliefs. TMMs and CE were correlated and predicted PPP, which in turn accounted for 59% of the variance of objective performance scores as measured by teams' season record. From a theoretical standpoint, findings resulted in a parsimonious view of team dynamics, which may represent an initial step towards clarifying the epistemological roots and nomological network of various team-level properties. From an applied standpoint, results suggest that team expertise starts with the establishment of team cohesion. Following the establishment of cohesiveness, teammates are able to advance team-related schemas and a collective sense of confidence. Limitations and key directions for future research are outlined.

Identifying student mental models from their response pattern to a physics multiple-choice test

NASA Astrophysics Data System (ADS)

Montenegro Maggio, Maximiliano Jose

Previous work has shown that students present different misconceptions across different but similar physical situations, but the cause of these differences is still not clear. In this study, a novel analysis method was introduced to help to gain a better understanding of how different physical situations affect students' responses and learning. This novel analysis groups students into mental model groups (MMG) by similarities in their responses to multiple-choice test items, under the assumption that they have similar mental models. The Mass and Energy Conservation test was developed to probe the common misconception that objects with greater mass fall faster than objects with lesser mass across four physical situations and four knowledge sub-domains: information, dynamics, work, and energy. The test was applied before and after energy instruction to 144 college students in a large Midwestern university attending a calculus-based introductory physics course. Test time along with instruction and physical situation were the two factors. It was found that physical situation did not have a significant effect on mental models: The number of MMGs identified and the fraction of students belonging to the same MMG were not significantly different (p > .05) across physical situations. However, there was a significant effect of test time on mental models (p < .05): the fraction of students belonging to the same MMG changed from the pretest to the posttest, in that the MMG representing higher performance became predominant than the MMG with lower performance for the posttest results. A MANOVA for the average scores for each sub-domain and physical situation combination was applied to validate the previous results. It was found that a significant effect (p < .01) by physical situation resulted due to a lower average dynamics sub-domain score for the friction physical-situation attribute when compared to the no-friction physical-situation attribute. A significant effect (p < .01) was found for test time. This was due to an increase of the average energy sub-domain score from the pretest to the posttest. No significant interaction effect ( p > .05) was found. The MANOVA results obtained can be explained through the change in proportion of the MMGs present in the sample.

From Norm Adoption to Norm Internalization

NASA Astrophysics Data System (ADS)

Conte, Rosaria; Andrighetto, Giulia; Villatoro, Daniel

In this presentation, advances in modeling the mental dynamics of norms will be presented. In particular, the process from norm-adoption, possibly yielding new normative goals, to different forms of norm compliance will be focused upon, including norm internalization, which is at study in social-behavioral sciences and moral philosophy since long. Of late, the debate was revamped within the rationality approach pointing to the role of norm internalization as a less costly and more reliable enforcement system than social control. So far, poor attention was paid to the mental underpinnings of internalization. In this presentation, a rich cognitive model of different types, degrees and factors of internalization is shown. The initial implementation of this model on EMIL-A, a normative agent architecture developed and applied to the.

Using web-based animations to teach histology.

PubMed

Brisbourne, Marc A S; Chin, Susan S-L; Melnyk, Erica; Begg, David A

2002-02-15

We have been experimenting with the use of animations to teach histology as part of an interactive multimedia program we are developing to replace the traditional lecture/laboratory-based histology course in our medical and dental curricula. This program, called HistoQuest, uses animations to illustrate basic histologic principles, explain dynamic processes, integrate histologic structure with physiological function, and assist students in forming mental models with which to organize and integrate new information into their learning. With this article, we first briefly discuss the theory of mental modeling, principles of visual presentation, and how mental modeling and visual presentation can be integrated to create effective animations. We then discuss the major Web-based animation technologies that are currently available and their suitability for different visual styles and navigational structures. Finally, we describe the process we use to produce animations for our program. The approach described in this study can be used by other developers to create animations for delivery over the Internet for the teaching of histology.

Exploring the connections between traumatic brain injury caregiver mental health and family dynamics in Mexico City, Mexico.

PubMed

Perrin, Paul B; Stevens, Lillian F; Sutter, Megan; Hubbard, Rebecca; Díaz Sosa, Dulce María; Espinosa Jove, Irma Guadalupe; Arango-Lasprilla, Juan Carlos

2013-10-01

To examine the patterns of family dynamics that are most associated with the mental health of traumatic brain injury (TBI) caregivers from Mexico. It was hypothesized that healthier family dynamics would be associated with better caregiver mental health. A cross-sectional study of self-reported data collected from TBI caregivers through the Mexican National Institute of Rehabilitation in Mexico City, Mexico, the premier public medical facility in Mexico that provides rehabilitation services to patients with various disabilities. One public outpatient medical and rehabilitation facility. Sixty-eight caregivers of individuals with moderate-to-severe TBI from Mexico City, Mexico, were related to an individual with TBI who was ≥3 months after injury, a primary caregiver for ≥3 months, familiar with the patient's history, and without neurologic or psychiatric conditions. The average (standard deviation) age of caregivers was 50.94 ± 12.85 years), and 82% were women. The caregivers completed Spanish versions of instruments that assessed their own mental health and family dynamics. Outcomes assessed included family dynamics (Family Adaptability and Cohesion Evaluation Scale-Fourth Edition; Family Communication Scale; Family Satisfaction Scale; Family Assessment Device-General Functioning; and Relationship-Focused Coping Scale), and caregiver mental health (Patient Health Questionnaire-9, Zarit Burden Interview, and Satisfaction with Life Scale). Results of canonical correlation analyses suggested that caregiver mental health and family dynamics were positively related, with a large effect size. Caregivers with high family satisfaction and cohesion tended to have a low burden and high satisfaction with life. In addition, caregiver depression and burden were positively related to each other and were both inversely related to caregiver satisfaction with life. TBI caregiver interventions in Latino populations would likely benefit from including programming or techniques to improve family dynamics, especially family cohesion, given the strong potentially reciprocal influence of these dynamics on caregiver mental health. Copyright © 2013 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

The Creative Chaos: Speculations on the Connection Between Non-Linear Dynamics and the Creative Process

NASA Astrophysics Data System (ADS)

Zausner, Tobi

Chaos theory may provide models for creativity and for the personality of the artist. A collection of speculative hypotheses examines the connection between art and such fundamentals of non-linear dynamics as iteration, dissipative processes, open systems, entropy, sensitivity to stimuli, autocatalysis, subsystems, bifurcations, randomness, unpredictability, irreversibility, increasing levels of organization, far-from-equilibrium conditions, strange attractors, period doubling, intermittency and self-similar fractal organization. Non-linear dynamics may also explain why certain individuals suffer mental disorders while others remain intact during a lifetime of sustained creative output.

Modelizing home safety as experienced by people with mental illness.

PubMed

Désormeaux-Moreau, Marjorie; Larivière, Nadine; Aubin, Ginette

2018-05-01

As more individuals with mental disorders now live in the community and as the custodial care housing model has shifted to supported housing, home safety has become a rising issue, however, not well documented. To describe the phenomenon of home safety for people with a mental disorder as well as its contributing factors. A descriptive qualitative design was used. Individual interviews were conducted with persons with a mental disorder (n = 8), while focus groups were conducted with relatives, health and social service providers and community stakeholders (n = 21). The data were analyzed with the grounded theory analysis as described by Paillé (1994). Findings suggest that home safety implies risk and protective factors, which are associated with (1) the person's characteristics; (2) the quality of the home environment; (3) the nature of the activities in which the individual engages. These dimensions are interrelated so that home incidents arise from a dynamic interaction between risk and protective factors. Home incidents therefore occur when the interaction between these dimensions is altered. Considering this situation, Occupational Therapists are well positioned to play a leading role and act as key contributors in the area of home safety in people with mental disorders.

Mental health service user participation in Chinese culture: a model of independence or interdependence?

PubMed

Tang, Jessica Pui-Shan; Tse, Samson Shu-Ki; Davidson, Larry; Cheng, Patrick

2017-12-22

Current models of user participation in mental health services were developed within Western culture and thus may not be applicable to Chinese communities. To present a new model of user participation, which emerged from research within a Chinese community, for understanding the processes of and factors influencing user participation in a non-Western culture. Multiple qualitative methods, including focus groups, individual in-depth interviews, and photovoice, were applied within the framework of constructivist grounded theory and collaborative research. Diverging from conceptualizations of user participation with emphasis on civil rights and the individual as a central agent, participants in the study highlighted the interpersonal dynamics between service users and different players affecting the participation intensity and outcomes. They valued a reciprocal relationship with their caregivers in making treatment decisions, cooperated with staff to observe power hierarchies and social harmony, identified the importance of peer support in enabling service engagement and delivery, and emphasized professional facilitation in advancing involvement at the policy level. User participation in Chinese culture embeds dynamic interdependence. The proposed model adds this new dimension to the existing frameworks and calls for attention to the complex local ecology and cultural consistency in realizing user participation.

Dynamic model for preventing mental retardation in the population: the importance of poverty and deprivation.

PubMed

McDermott, S W; Altekruse, J M

1994-01-01

A dynamic simulation model is used to answer the question, "What is the most effective child health policy initiative for the prevention of mental retardation (MR)?" The impact of medical strategies is contrasted with social interventions to see how they affect the prevalence of MR in the general population. The model is based on data from four U.S. Census and California Vital Statistics reports (1960, 1970, 1980, 1990). An interstate comparison (California and South Carolina) uses 1990 data. The results of the simulations reveal that medical interventions to improve the developmental outcome of low birth weight (LBW) infants did not cause a reduction in the rate of MR in the population after a 24-year trial period. In contrast, reducing the proportion of children living in poverty who are exposed to environmental deprivation significantly decreased (10%) MR at the end of the model's time period. This analysis supports the view that long-term reduction in MR prevalence is attainable by modifying public policies that influence children's development. Effective MR prevention calls for public policy committed to multifaceted health and educational services for both affected parents and their young children.

Student Cognitive Difficulties and Mental Model Development of Complex Earth and Environmental Systems

NASA Astrophysics Data System (ADS)

Sell, K.; Herbert, B.; Schielack, J.

2004-05-01

Students organize scientific knowledge and reason about environmental issues through manipulation of mental models. The nature of the environmental sciences, which are focused on the study of complex, dynamic systems, may present cognitive difficulties to students in their development of authentic, accurate mental models of environmental systems. The inquiry project seeks to develop and assess the coupling of information technology (IT)-based learning with physical models in order to foster rich mental model development of environmental systems in geoscience undergraduate students. The manipulation of multiple representations, the development and testing of conceptual models based on available evidence, and exposure to authentic, complex and ill-constrained problems were the components of investigation utilized to reach the learning goals. Upper-level undergraduate students enrolled in an environmental geology course at Texas A&M University participated in this research which served as a pilot study. Data based on rubric evaluations interpreted by principal component analyses suggest students' understanding of the nature of scientific inquiry is limited and the ability to cross scales and link systems proved problematic. Results categorized into content knowledge and cognition processes where reasoning, critical thinking and cognitive load were driving factors behind difficulties in student learning. Student mental model development revealed multiple misconceptions and lacked complexity and completeness to represent the studied systems. Further, the positive learning impacts of the implemented modules favored the physical model over the IT-based learning projects, likely due to cognitive load issues. This study illustrates the need to better understand student difficulties in solving complex problems when using IT, where the appropriate scaffolding can then be implemented to enhance student learning of the earth system sciences.

Social disadvantage and individual vulnerability: a longitudinal investigation of welfare receipt and mental health in Australia.

PubMed

Kiely, Kim M; Butterworth, Peter

2013-07-01

To examine longitudinal associations between mental health and welfare receipt among working-age Australians. We analysed 9 years of data from 11,701 respondents (49% men) from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. Mental health was assessed by the mental health subscale from the Short Form 36 questionnaire. Linear mixed models were used to examine the longitudinal associations between mental health and income support adjusting for the effects of demographic and socio-economic factors, physical health, lifestyle behaviours and financial stress. Within-person variation in welfare receipt over time was differentiated from between-person propensity to receive welfare payments. Random effect models tested the effects of income support transitions. Socio-demographic and financial variables explained the association between mental health and income support for those receiving student and parenting payments. Overall, recipients of disability, unemployment and mature age payments had poorer mental health regardless of their personal, social and financial circumstances. In addition, those receiving unemployment and disability payments had even poorer mental health at the times that they were receiving income support relative to the times when they were not. The greatest reductions in mental health were associated with transitions to disability payments and parenting payments for single parents. The poor mental health of welfare recipients may limit their opportunities to gain work and participate in community life. In part, this seems to reflect their adverse social and personal circumstances. However, there remains evidence of a direct link between welfare receipt and poor mental health that could be due to factors such as welfare stigma or other adverse life events coinciding with welfare receipt for those receiving unemployment or disability payments. Understanding these factors is critical to inform the next stage of welfare reform.

Reorganization of the Connectivity between Elementary Functions – A Model Relating Conscious States to Neural Connections

PubMed Central

Mogensen, Jesper; Overgaard, Morten

2017-01-01

In the present paper it is argued that the “neural correlate of consciousness” (NCC) does not appear to be a separate “module” – but an aspect of information processing within the neural substrate of various cognitive processes. Consequently, NCC can only be addressed adequately within frameworks that model the general relationship between neural processes and mental states – and take into account the dynamic connectivity of the brain. We presently offer the REFGEN (general reorganization of elementary functions) model as such a framework. This model builds upon and expands the REF (reorganization of elementary functions) and REFCON (of elementary functions and consciousness) models. All three models integrate the relationship between the neural and mental layers of description via the construction of an intermediate level dealing with computational states. The importance of experience based organization of neural and cognitive processes is stressed. The models assume that the mechanisms of consciousness are in principle the same as the basic mechanisms of all aspects of cognition – when information is processed to a sufficiently “high level” it becomes available to conscious experience. The NCC is within the REFGEN model seen as aspects of the dynamic and experience driven reorganizations of the synaptic connectivity between the neurocognitive “building blocks” of the model – the elementary functions. PMID:28473797

Avalanches and generalized memory associativity in a network model for conscious and unconscious mental functioning

NASA Astrophysics Data System (ADS)

Siddiqui, Maheen; Wedemann, Roseli S.; Jensen, Henrik Jeldtoft

2018-01-01

We explore statistical characteristics of avalanches associated with the dynamics of a complex-network model, where two modules corresponding to sensorial and symbolic memories interact, representing unconscious and conscious mental processes. The model illustrates Freud's ideas regarding the neuroses and that consciousness is related with symbolic and linguistic memory activity in the brain. It incorporates the Stariolo-Tsallis generalization of the Boltzmann Machine in order to model memory retrieval and associativity. In the present work, we define and measure avalanche size distributions during memory retrieval, in order to gain insight regarding basic aspects of the functioning of these complex networks. The avalanche sizes defined for our model should be related to the time consumed and also to the size of the neuronal region which is activated, during memory retrieval. This allows the qualitative comparison of the behaviour of the distribution of cluster sizes, obtained during fMRI measurements of the propagation of signals in the brain, with the distribution of avalanche sizes obtained in our simulation experiments. This comparison corroborates the indication that the Nonextensive Statistical Mechanics formalism may indeed be more well suited to model the complex networks which constitute brain and mental structure.

Mind-wandering as spontaneous thought: a dynamic framework.

PubMed

Christoff, Kalina; Irving, Zachary C; Fox, Kieran C R; Spreng, R Nathan; Andrews-Hanna, Jessica R

2016-11-01

Most research on mind-wandering has characterized it as a mental state with contents that are task unrelated or stimulus independent. However, the dynamics of mind-wandering - how mental states change over time - have remained largely neglected. Here, we introduce a dynamic framework for understanding mind-wandering and its relationship to the recruitment of large-scale brain networks. We propose that mind-wandering is best understood as a member of a family of spontaneous-thought phenomena that also includes creative thought and dreaming. This dynamic framework can shed new light on mental disorders that are marked by alterations in spontaneous thought, including depression, anxiety and attention deficit hyperactivity disorder.

Dynamical Resilience Indicators in Time Series of Self-Rated Health Correspond to Frailty Levels in Older Adults.

PubMed

Gijzel, Sanne M W; van de Leemput, Ingrid A; Scheffer, Marten; Roppolo, Mattia; Olde Rikkert, Marcel G M; Melis, René J F

2017-07-01

We currently still lack valid methods to dynamically measure resilience for stressors before the appearance of adverse health outcomes that hamper well-being. Quantifying an older adult's resilience in an early stage would aid complex decision-making in health care. Translating complex dynamical systems theory to humans, we hypothesized that three dynamical indicators of resilience (variance, temporal autocorrelation, and cross-correlation) in time series of self-rated physical, mental, and social health were associated with frailty levels in older adults. We monitored self-rated physical, mental, and social health during 100 days using daily visual analogue scale questions in 22 institutionalized older adults (mean age 84.0, SD: 5.9 years). Frailty was determined by the Survey of Health, Ageing and Retirement in Europe (SHARE) frailty index. The resilience indicators (variance, temporal autocorrelation, and cross-correlation) were calculated using multilevel models. The self-rated health time series of frail elderly exhibited significantly elevated variance in the physical, mental, and social domain, as well as significantly stronger cross-correlations between all three domains, as compared to the nonfrail group (all P < 0.001). Temporal autocorrelation was not significantly associated with frailty. We found supporting evidence for two out of three hypothesized resilience indicators to be related to frailty levels in older adults. By mirroring the dynamical resilience indicators to a frailty index, we delivered a first empirical base to validate and quantify the construct of systemic resilience in older adults in a dynamic way. © The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Do the Eyes Have It? Inferring Mental States from Animated Faces in Autism

ERIC Educational Resources Information Center

Back, Elisa; Ropar, Danielle; Mitchell, Peter

2007-01-01

The ability of individuals with autistic spectrum disorders (ASD) to infer mental states from dynamic and static facial stimuli was investigated. In Experiment 1, individuals with ASD (10- to 14-year olds; N = 18) performed above chance but not as well as controls. Accuracy scores for mental states did not differ between dynamic and static faces.…

Glycemic Allostasis during Mental Activities on Fasting in Non-alcohol Users and Alcohol Users with Different Durations of Abstinence.

PubMed

Welcome, Mo; Pereverzev, Va

2014-09-01

Glycemic allostasis is the process by which blood glucose stabilization is achieved through the balancing of glucose consumption rate and release into the blood stream under a variety of stressors. This paper reviews findings on the dynamics of glycemic levels during mental activities on fasting in non-alcohol users and alcohol users with different periods of abstinence. Referred articles for this review were searched in the databases of PubMed, Scopus, DOAJ and AJOL. The search was conducted in 2013 between January 20 and July 31. The following keywords were used in the search: alcohol action on glycemia OR brain glucose OR cognitive functions; dynamics of glycemia, dynamics of glycemia during mental activities; dynamics of glycemia on fasting; dynamics of glycemia in non-alcohol users OR alcohol users; glycemic regulation during sobriety. Analysis of the selected articles showed that glycemic allostasis during mental activities on fasting is poorly regulated in alcohol users even after a long duration of sobriety (1-4 weeks after alcohol consumption), compared to non-alcohol users. The major contributor to the maintenance of euglycemia during mental activities after the night's rest (during continuing fast) is gluconeogenesis.

Glycemic Allostasis during Mental Activities on Fasting in Non-alcohol Users and Alcohol Users with Different Durations of Abstinence

PubMed Central

Welcome, MO; Pereverzev, VA

2014-01-01

Glycemic allostasis is the process by which blood glucose stabilization is achieved through the balancing of glucose consumption rate and release into the blood stream under a variety of stressors. This paper reviews findings on the dynamics of glycemic levels during mental activities on fasting in non-alcohol users and alcohol users with different periods of abstinence. Referred articles for this review were searched in the databases of PubMed, Scopus, DOAJ and AJOL. The search was conducted in 2013 between January 20 and July 31. The following keywords were used in the search: alcohol action on glycemia OR brain glucose OR cognitive functions; dynamics of glycemia, dynamics of glycemia during mental activities; dynamics of glycemia on fasting; dynamics of glycemia in non-alcohol users OR alcohol users; glycemic regulation during sobriety. Analysis of the selected articles showed that glycemic allostasis during mental activities on fasting is poorly regulated in alcohol users even after a long duration of sobriety (1-4 weeks after alcohol consumption), compared to non-alcohol users. The major contributor to the maintenance of euglycemia during mental activities after the night's rest (during continuing fast) is gluconeogenesis. PMID:25364589

WHEN INFANTS GROW UP IN MULTIPERSON RELATIONSHIP SYSTEMS

PubMed Central

McHale, James P.

2010-01-01

Despite prompts from the field of family therapy since its inception, contemporary infant mental health theory and practice remain firmly rooted in and guided by dyadic-based models. Over the past 10 years, a groundswell of new empirical studies of triadic and family group dynamics during infancy have substantiated that which family theory has contended for decades: looking beyond mother-infant or father-infant dyads reveals a myriad of critically important socialization influences and dynamics that are missed altogether when relying on informant reports or dyad-based interactions. Such family-level dynamics emerge within months after infants are born, show coherence through time, and influence the social and emotional adjustment of children as early as the toddler and preschool years. This report summarizes key findings from the past decade of empirical family studies, highlights several areas in need of further conceptual development and empirical study by those who work with infants and their families, and outlines important implications of this body of work for all practicing infant mental health professionals. PMID:21512615

POPEYE: A production rule-based model of multitask supervisory control (POPCORN)

NASA Technical Reports Server (NTRS)

Townsend, James T.; Kadlec, Helena; Kantowitz, Barry H.

1988-01-01

Recent studies of relationships between subjective ratings of mental workload, performance, and human operator and task characteristics have indicated that these relationships are quite complex. In order to study the various relationships and place subjective mental workload within a theoretical framework, we developed a production system model for the performance component of the complex supervisory task called POPCORN. The production system model is represented by a hierarchial structure of goals and subgoals, and the information flow is controlled by a set of condition-action rules. The implementation of this production system, called POPEYE, generates computer simulated data under different task difficulty conditions which are comparable to those of human operators performing the task. This model is the performance aspect of an overall dynamic psychological model which we are developing to examine and quantify relationships between performance and psychological aspects in a complex environment.

Modeling the Impact of School-based Universal Depression Screening on Additional Service Capacity Needs: A System Dynamics Approach

PubMed Central

Lyon, Aaron R.; Maras, Melissa A.; Pate, Christina M.; Igusa, Takeru; Stoep, Ann Vander

2016-01-01

Although it is widely known that the occurrence of depression increases over the course of adolescence, symptoms of mood disorders frequently go undetected. While schools are viable settings for conducting universal screening to systematically identify students in need of services for common health conditions, particularly those that adversely affect school performance, few school districts routinely screen their students for depression. Among the most commonly referenced barriers are concerns that the number of students identified may exceed schools’ service delivery capacities, but few studies have evaluated this concern systematically. System dynamics (SD) modeling may prove a useful approach for answering questions of this sort. The goal of the current paper is therefore to demonstrate how SD modeling can be applied to inform implementation decisions in communities. In our demonstration, we used SD modeling to estimate the additional service demand generated by universal depression screening in a typical high school. We then simulated the effects of implementing “compensatory approaches” designed to address anticipated increases in service need through (1) the allocation of additional staff time and (2) improvements in the effectiveness of mental health interventions. Results support the ability of screening to facilitate more rapid entry into services and suggest that improving the effectiveness of mental health services for students with depression via the implementation of an evidence-based treatment protocol may have a limited impact on overall recovery rates and service availability. In our example, the SD approach proved useful in informing systems’ decision-making about the adoption of a new school mental health service. PMID:25601192

The Mathematics of Psychotherapy: A Nonlinear Model of Change Dynamics.

PubMed

Schiepek, Gunter; Aas, Benjamin; Viol, Kathrin

2016-07-01

Psychotherapy is a dynamic process produced by a complex system of interacting variables. Even though there are qualitative models of such systems the link between structure and function, between network and network dynamics is still missing. The aim of this study is to realize these links. The proposed model is composed of five state variables (P: problem severity, S: success and therapeutic progress, M: motivation to change, E: emotions, I: insight and new perspectives) interconnected by 16 functions. The shape of each function is modified by four parameters (a: capability to form a trustful working alliance, c: mentalization and emotion regulation, r: behavioral resources and skills, m: self-efficacy and reward expectation). Psychologically, the parameters play the role of competencies or traits, which translate into the concept of control parameters in synergetics. The qualitative model was transferred into five coupled, deterministic, nonlinear difference equations generating the dynamics of each variable as a function of other variables. The mathematical model is able to reproduce important features of psychotherapy processes. Examples of parameter-dependent bifurcation diagrams are given. Beyond the illustrated similarities between simulated and empirical dynamics, the model has to be further developed, systematically tested by simulated experiments, and compared to empirical data.

Relapse Model among Iranian Drug Users: A Qualitative Study.

PubMed

Jalali, Amir; Seyedfatemi, Naiemeh; Peyrovi, Hamid

2015-01-01

Relapse is a common problem in drug user's rehabilitation program and reported in all over the country. An in-depth study on patients' experiences can be used for exploring the relapse process among drug users. Therefore, this study suggests a model for relapse process among Iranian drug users. In this qualitative study with grounded theory approach, 22 participants with rich information about the phenomenon under the study were selected using purposive, snowball and theoretical sampling methods. After obtaining the informed consent, data were collected based on face-to-face, in-depth, semi-structured interviews. All interviews were analyzed in three stages of axial, selective and open coding methods. Nine main categories emerged, including avoiding of drugs, concerns about being accepted, family atmosphere, social conditions, mental challenge, self-management, self-deception, use and remorse and a main category, feeling of loss as the core variable. Mental challenge has two subcategories, evoking pleasure and craving. Relapse model is a dynamic and systematic process including from cycles of drug avoidance to remorse with a core variable as feeling of loss.  Relapse process is a dynamic and systematic process that needs an effective control. Determining a relapse model as a clear process could be helpful in clinical sessions. RESULTS of this research have depicted relapse process among Iranian drugs user by conceptual model.

System perspectives of experts and farmers regarding the role of livelihood assets in risk perception: results from the structured mental model approach.

PubMed

Schoell, Regina; Binder, Claudia R

2009-02-01

Pesticide application is increasing and despite extensive educational programs farmers continue to take high health and environmental risks when applying pesticides. The structured mental model approach (SMMA) is a new method for risk perception analysis. It embeds farmers' risk perception into their livelihood system in the elaboration of a mental model (MM). Results from its first application are presented here. The study region is Vereda la Hoya (Colombia), an area characterized by subsistence farming, high use of pesticides, and a high incidence of health problems. Our hypothesis was that subsistence farmers were constrained by economic, environmental, and sociocultural factors, which consequently should influence their mental models. Thirteen experts and 10 farmers were interviewed and their MMs of the extended pesticide system elicited. The interviews were open-ended with the questions structured in three parts: (i) definition and ranking of types of capital with respect to their importance for the sustainability of farmers' livelihood; (ii) understanding the system and its dynamics; and (iii) importance of the agents in the farmers' agent network. Following this structure, each part of the interview was analyzed qualitatively and statistically. Our analyses showed that the mental models of farmers and experts differed significantly from each other. By applying the SMMA, we were also able to identify reasons for the divergence of experts' and farmers' MMs. Of major importance are the following factors: (i) culture and tradition; (ii) trust in the source of information; and (iii) feedback on knowledge.

Studies on a Novel Neuro-dynamic Model for Prediction Learning of Fluctuated Data Streams: Beyond Dichotomy between Probabilistic and Deterministic Models

DTIC Science & Technology

2014-11-04

learning by robots as well as video image understanding by accumulated learning of the exemplars are discussed. 15. SUBJECT TERMS Cognitive ...learning to predict perceptual streams or encountering events by acquiring internal models is indispensable for intelligent or cognitive systems because...various cognitive functions are based on this compentency including goal-directed planning, mental simulation and recognition of the current situation

The Fragile X Mental Retardation Syndrome 20 Years After the FMR1 Gene Discovery: an Expanding Universe of Knowledge

PubMed Central

Rousseau, François; Labelle, Yves; Bussières, Johanne; Lindsay, Carmen

2011-01-01

The fragile X mental retardation (FXMR) syndrome is one of the most frequent causes of mental retardation. Affected individuals display a wide range of additional characteristic features including behavioural and physical phenotypes, and the extent to which individuals are affected is highly variable. For these reasons, elucidation of the pathophysiology of this disease has been an important challenge to the scientific community. 1991 marks the year of the discovery of both the FMR1 gene mutations involved in this disease, and of their dynamic nature. Although a mouse model for the disease has been available for 16 years and extensive research has been performed on the FMR1 protein (FMRP), we still understand little about how the disease develops, and no treatment has yet been shown to be effective. In this review, we summarise current knowledge on FXMR with an emphasis on the technical challenges of molecular diagnostics, on its prevalence and dynamics among populations, and on the potential of screening for FMR1 mutations. PMID:21912443

The fragile x mental retardation syndrome 20 years after the FMR1 gene discovery: an expanding universe of knowledge.

PubMed

Rousseau, François; Labelle, Yves; Bussières, Johanne; Lindsay, Carmen

2011-08-01

The fragile X mental retardation (FXMR) syndrome is one of the most frequent causes of mental retardation. Affected individuals display a wide range of additional characteristic features including behavioural and physical phenotypes, and the extent to which individuals are affected is highly variable. For these reasons, elucidation of the pathophysiology of this disease has been an important challenge to the scientific community. 1991 marks the year of the discovery of both the FMR1 gene mutations involved in this disease, and of their dynamic nature. Although a mouse model for the disease has been available for 16 years and extensive research has been performed on the FMR1 protein (FMRP), we still understand little about how the disease develops, and no treatment has yet been shown to be effective. In this review, we summarise current knowledge on FXMR with an emphasis on the technical challenges of molecular diagnostics, on its prevalence and dynamics among populations, and on the potential of screening for FMR1 mutations.

Manipulating Models and Grasping the Ideas They Represent

ERIC Educational Resources Information Center

Bryce, T. G.; Blown, E. J.

2016-01-01

This article notes the convergence of recent thinking in neuroscience and grounded cognition regarding the way we understand mental representation and recollection: ideas are dynamic and multi-modal, actively created at the point of recall. Also, neurophysiologically, re-entrant signalling among cortical circuits allows non-conscious processing to…

Mechanisms of change in cognitive therapy for major depressive disorder in the community mental health setting.

PubMed

Crits-Christoph, Paul; Gallop, Robert; Diehl, Caroline K; Yin, Seohyun; Gibbons, Mary Beth Connolly

2017-06-01

This study examined the relation of change in theory-relevant cognitive variables to depressive symptom change over the course of cognitive therapy, as well as the specificity of change mechanisms to cognitive therapy as compared with dynamic therapy. There were 237 adult outpatients who were randomized to either cognitive (n = 119) or dynamic (n = 118) therapy for major depressive disorder in a community mental health setting. Assessments of compensatory skills (Ways of Responding Community Version and Self-Report Version), dysfunctional attitudes (Dysfunctional Attitudes Scale), and depressogenic schemas (Psychological Distance Scaling Task) were obtained at baseline and months 1, 2, and 5 following baseline. Primary outcome was measured using the Hamilton Rating Scale for Depression. Across both therapy conditions, change in all 3 cognitive domains was associated with concurrent change in depressive symptoms. After controlling for other cognitive variables, increased interconnectedness of the positive achievement-related schema was significantly associated with concurrent symptom change in cognitive (rp = .26, p < .001) but not dynamic therapy (rp = .08, p = .29). Increases in positive compensatory skills were associated with subsequent change in depressive symptoms in cognitive therapy (rp = -.36, p = .003), but not in dynamic therapy (rp = .11, p = .386). Results provide support for the compensatory skills model of cognitive therapy (CT) within a community mental health setting. Additional research is necessary to understand other possible mechanisms of change in CT in the community setting. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

The Traumatogenic Dynamics of Internalized Stigma of Mental Illness Among Arab American, Muslim, and Refugee Clients.

PubMed

Kira, Ibrahim A; Lewandowski, Linda; Ashby, Jeffrey S; Templin, Thomas; Ramaswamy, Vidya; Mohanesh, Jamal

2014-07-01

Understanding the dynamics of mental health stigma through existing frameworks, especially in minorities with higher stigma, is problematic. There is a need to reconceptualize stigma, particularly in highly traumatized groups. The current study examines the validity of a new development-based trauma framework that conceptualizes stigma as a type III chronic trauma that contributes to negative mental health effects. This framework proposes that public stigma is a unique chronic traumatic stress that mediates the effects of similar trauma types in mental health patients. To test this proposition, this study explores the relationships between internalized stigma of mental illness (ISMI), different trauma types, and posttrauma spectrum disorders. ISMI, posttraumatic stress disorder, other posttrauma spectrum disorders, and cumulative trauma measures were administered to a sample of 399 mental health patients that included Arab (82%), Muslim (84%), and refugee (31%), as well as American patients (18%). Age in the sample ranged from 18 to 76 years (M = 39.66, SD = 11.45), with 53.5% males. Hierarchical multiple regression, t tests, and path analyses were conducted. Results indicated that ISMI predicted posttraumatic stress disorder and other posttrauma spectrum disorders after controlling for cumulative trauma. ISMI was associated with other chronic collective identity traumas. While Arab Americans, Muslims, and refugees had higher ISMI scores than other Americans, the elevated chronic trauma levels of these groups were significant predictors of these differences. The results provide evidence to support ISMI traumatology model. Implications of the results for treating victims of ISMI, especially Arab Americans, Muslims and refugees are discussed. © The Author(s) 2014.

Aesthetic episodes, domains, and the mind. Comment on: "Move me, astonish me... delight my eyes and brain: The Vienna Integrated Model of top-down and bottom-up processes in Art Perception (VIMAP) and corresponding affective, evaluative, and neurophysiological correlates" by Matthew Pelowski et al.

NASA Astrophysics Data System (ADS)

Jacobsen, Thomas

2017-07-01

Aesthetic episodes, as all behavior, are situated. They take place as an interaction of person and situation variables [1]. There are different artistic and aesthetic domains that afford, in part, mutual mental processes, but also fundamentally different, e.g., modality-specific ones [2]. For the infinite number of possible aesthetic episodes a plethora of component processes can be selectively combined and dynamically configured. Following psychophysics' pragmatic dualism of mind and body, this results in dynamically configured (neuro-) biological networks subserving these mental processes [1]. These are, of course, also subject to evolutionary, biological, historical, cultural, and social change [1,3].

Evolution of quantum-like modeling in decision making processes

NASA Astrophysics Data System (ADS)

Khrennikova, Polina

2012-12-01

The application of the mathematical formalism of quantum mechanics to model behavioral patterns in social science and economics is a novel and constantly emerging field. The aim of the so called 'quantum like' models is to model the decision making processes in a macroscopic setting, capturing the particular 'context' in which the decisions are taken. Several subsequent empirical findings proved that when making a decision people tend to violate the axioms of expected utility theory and Savage's Sure Thing principle, thus violating the law of total probability. A quantum probability formula was devised to describe more accurately the decision making processes. A next step in the development of QL-modeling in decision making was the application of Schrödinger equation to describe the evolution of people's mental states. A shortcoming of Schrödinger equation is its inability to capture dynamics of an open system; the brain of the decision maker can be regarded as such, actively interacting with the external environment. Recently the master equation, by which quantum physics describes the process of decoherence as the result of interaction of the mental state with the environmental 'bath', was introduced for modeling the human decision making. The external environment and memory can be referred to as a complex 'context' influencing the final decision outcomes. The master equation can be considered as a pioneering and promising apparatus for modeling the dynamics of decision making in different contexts.

Neuromodulation, Emotional Feelings and Affective Disorders

PubMed Central

Wang, Fushun; Pereira, Alfredo

2016-01-01

Affective disorders such as anxiety, phobia and depression are a leading cause of disabilities worldwide. Monoamine neuromodulators are used to treat most of them, with variable degrees of efficacy. Here, we review and interpret experimental findings about the relation of neuromodulation and emotional feelings, in pursuit of two goals: (a) to improve the conceptualisation of affective/emotional states, and (b) to develop a descriptive model of basic emotional feelings related to the actions of neuromodulators. In this model, we hypothesize that specific neuromodulators are effective for basic emotions. The model can be helpful for mental health professionals to better understand the affective dynamics of persons and the actions of neuromodulators - and respective psychoactive drugs - on this dynamics. PMID:28031622

Single-channel EEG-based mental fatigue detection based on deep belief network.

PubMed

Pinyi Li; Wenhui Jiang; Fei Su

2016-08-01

Mental fatigue has a pernicious influence on road and work place safety as well as a negative symptom of many acute and chronic illnesses, since the ability of concentrating, responding and judging quickly decreases during the fatigue or drowsiness stage. Electroencephalography (EEG) has been proven to be a robust physiological indicator of human cognitive state over the last few decades. But most existing EEG-based fatigue detection methods have poor performance in accuracy. This paper proposed a single-channel EEG-based mental fatigue detection method based on Deep Belief Network (DBN). The fused nonliear features from specified sub-bands and dynamic analysis, a total of 21 features are extracted as the input of the DBN to discriminate three classes of mental state including alert, slight fatigue and severe fatigue. Experimental results show the good performance of the proposed model comparing with those state-of-art methods.

Coupled socioeconomic-crop modelling for the participatory local analysis of climate change impacts on smallholder farmers in Guatemala

NASA Astrophysics Data System (ADS)

Malard, J. J.; Adamowski, J. F.; Wang, L. Y.; Rojas, M.; Carrera, J.; Gálvez, J.; Tuy, H. A.; Melgar-Quiñonez, H.

2015-12-01

The modelling of the impacts of climate change on agriculture requires the inclusion of socio-economic factors. However, while cropping models and economic models of agricultural systems are common, dynamically coupled socio-economic-biophysical models have not received as much success. A promising methodology for modelling the socioeconomic aspects of coupled natural-human systems is participatory system dynamics modelling, in which stakeholders develop mental maps of the socio-economic system that are then turned into quantified simulation models. This methodology has been successful in the water resources management field. However, while the stocks and flows of water resources have also been represented within the system dynamics modelling framework and thus coupled to the socioeconomic portion of the model, cropping models are ill-suited for such reformulation. In addition, most of these system dynamics models were developed without stakeholder input, limiting the scope for the adoption and implementation of their results. We therefore propose a new methodology for the analysis of climate change variability on agroecosystems which uses dynamically coupled system dynamics (socio-economic) and biophysical (cropping) models to represent both physical and socioeconomic aspects of the agricultural system, using two case studies (intensive market-based agricultural development versus subsistence crop-based development) from rural Guatemala. The system dynamics model component is developed with relevant governmental and NGO stakeholders from rural and agricultural development in the case study regions and includes such processes as education, poverty and food security. Common variables with the cropping models (yield and agricultural management choices) are then used to dynamically couple the two models together, allowing for the analysis of the agroeconomic system's response to and resilience against various climatic and socioeconomic shocks.

An examination of the effects of intra and inter-individual changes in wellbeing and mental health on self-rated health in a population study of middle and older-aged adults.

PubMed

Burns, Richard A; Sargent-Cox, Kerry; Mitchell, Paul; Anstey, Kaarin J

2014-11-01

Self-rated health is frequently used as an indicator of health and quality of life in epidemiological studies. While the association between self-rated health and negative mental health is well established, associations with indictors of positive wellbeing are less clear. Data from the Dynamic Analyses to Optimise Ageing (DYNOPTA) project were used to compare the effects of vitality and mental health on self-rated health. Participants (n = 40,712) provided information on vitality, mental health and self-rated health, were aged 45-95 years at baseline, and were followed between 1 and 10 years (M = 5.6; SD = 2.9). In comparison with mental health, multi-level modelling indicated between- and within-person change in vitality was more strongly associated with self-rated health. Bivariate dual change score modelling of the cross-lagged associations between vitality and self-rated health indicated vitality to be a stronger predictor of change in self-rated health. Self-rated health was unrelated to change in vitality. Vitality accounted for most of the mental health effect on self-rated health and was identified as a significant predictor of change in self-rated health over a 10-year period. Promoting wellbeing and psychological functioning may have significant protective effects on negative health outcomes throughout the adult lifespan and into late life.

Integrated wetland management: an analysis with group model building based on system dynamics model.

PubMed

Chen, Hsin; Chang, Yang-Chi; Chen, Kung-Chen

2014-12-15

The wetland system possesses diverse functions such as preserving water sources, mediating flooding, providing habitats for wildlife and stabilizing coastlines. Nonetheless, rapid economic growth and the increasing population have significantly deteriorated the wetland environment. To secure the sustainability of the wetland, it is essential to introduce integrated and systematic management. This paper examines the resource management of the Jiading Wetland by applying group model building (GMB) and system dynamics (SD). We systematically identify local stakeholders' mental model regarding the impact brought by the yacht industry, and further establish a SD model to simulate the dynamic wetland environment. The GMB process improves the stakeholders' understanding about the interaction between the wetland environment and management policies. Differences between the stakeholders' perceptions and the behaviors shown by the SD model also suggest that our analysis would facilitate the stakeholders to broaden their horizons and achieve consensus on the wetland resource management. Copyright © 2014 Elsevier Ltd. All rights reserved.

Pediatric SCI/D caregiver mental health and family dynamics in Colombia, South America.

PubMed

Doyle, Sarah T; Perrin, Paul B; Nicholls, Elizabeth; Olivera, Silvia Leonor; Quintero, Lorena Medina; Otálvaro, Nadezda Yulieth Méndez; Arango-Lasprilla, Juan Carlos

2016-01-01

This study examined the connections between family dynamics and the mental health of caregivers of youth with spinal cord injuries/disorders (SCI/D) caregivers from Colombia, South America. It was hypothesized that lower family functioning would be associated with poorer caregiver mental health. A cross-sectional study of self-report data collected from caregivers through the Hospital Universatario Hernando Moncaleano Perdomo in Neiva, Colombia. Thirty caregivers of children with SCI/D from Nevia, Colombia who were a primary caregiver for ≥3 months, providing care for an individual who was ≥6 months post-injury/diagnosis, familiar with the patient's history, and without neurological or psychiatric conditions. Caregivers' average age was 41.30 years (SD = 10.98), and 90% were female. Caregivers completed Spanish versions of instruments assessing their own mental health and family dynamics. Family dynamics explained 43.2% of the variance in caregiver burden and 50.1% of the variance in satisfaction with life, although family dynamics were not significantly associated with caregiver depression in the overall analysis. Family satisfaction was the only family dynamics variable to yield a significant unique association with any index of caregiver mental health (satisfaction with life). If similar findings emerge in future intervention research, interventions for pediatric SCI/D caregivers in Colombia and other similar global regions could benefit from including techniques to improve family dynamics, especially family satisfaction, given the strong potentially reciprocal connection between these dynamics and caregiver mental health. The degree of disability resulting from SCI/D can vary greatly depending on the severity and level of the lesion, though permanent impairment is often present that profoundly impacts both physical and psychological functioning. Very little is known about the impact of pediatric SCI/D in developing countries, despite the high rates of injury reported in these areas. Family interventions could contribute significantly to the lives of children with SCI/D and their families.

Mental State Assessment and Validation Using Personalized Physiological Biometrics

PubMed Central

Patel, Aashish N.; Howard, Michael D.; Roach, Shane M.; Jones, Aaron P.; Bryant, Natalie B.; Robinson, Charles S. H.; Clark, Vincent P.; Pilly, Praveen K.

2018-01-01

Mental state monitoring is a critical component of current and future human-machine interfaces, including semi-autonomous driving and flying, air traffic control, decision aids, training systems, and will soon be integrated into ubiquitous products like cell phones and laptops. Current mental state assessment approaches supply quantitative measures, but their only frame of reference is generic population-level ranges. What is needed are physiological biometrics that are validated in the context of task performance of individuals. Using curated intake experiments, we are able to generate personalized models of three key biometrics as useful indicators of mental state; namely, mental fatigue, stress, and attention. We demonstrate improvements to existing approaches through the introduction of new features. Furthermore, addressing the current limitations in assessing the efficacy of biometrics for individual subjects, we propose and employ a multi-level validation scheme for the biometric models by means of k-fold cross-validation for discrete classification and regression testing for continuous prediction. The paper not only provides a unified pipeline for extracting a comprehensive mental state evaluation from a parsimonious set of sensors (only EEG and ECG), but also demonstrates the use of validation techniques in the absence of empirical data. Furthermore, as an example of the application of these models to novel situations, we evaluate the significance of correlations of personalized biometrics to the dynamic fluctuations of accuracy and reaction time on an unrelated threat detection task using a permutation test. Our results provide a path toward integrating biometrics into augmented human-machine interfaces in a judicious way that can help to maximize task performance.

Mental State Assessment and Validation Using Personalized Physiological Biometrics.

PubMed

Patel, Aashish N; Howard, Michael D; Roach, Shane M; Jones, Aaron P; Bryant, Natalie B; Robinson, Charles S H; Clark, Vincent P; Pilly, Praveen K

2018-01-01

Mental state monitoring is a critical component of current and future human-machine interfaces, including semi-autonomous driving and flying, air traffic control, decision aids, training systems, and will soon be integrated into ubiquitous products like cell phones and laptops. Current mental state assessment approaches supply quantitative measures, but their only frame of reference is generic population-level ranges. What is needed are physiological biometrics that are validated in the context of task performance of individuals. Using curated intake experiments, we are able to generate personalized models of three key biometrics as useful indicators of mental state; namely, mental fatigue, stress, and attention. We demonstrate improvements to existing approaches through the introduction of new features. Furthermore, addressing the current limitations in assessing the efficacy of biometrics for individual subjects, we propose and employ a multi-level validation scheme for the biometric models by means of k -fold cross-validation for discrete classification and regression testing for continuous prediction. The paper not only provides a unified pipeline for extracting a comprehensive mental state evaluation from a parsimonious set of sensors (only EEG and ECG), but also demonstrates the use of validation techniques in the absence of empirical data. Furthermore, as an example of the application of these models to novel situations, we evaluate the significance of correlations of personalized biometrics to the dynamic fluctuations of accuracy and reaction time on an unrelated threat detection task using a permutation test. Our results provide a path toward integrating biometrics into augmented human-machine interfaces in a judicious way that can help to maximize task performance.

Exploring Verbal, Visual and Schematic Learners' Static and Dynamic Mental Images of Scientific Species and Processes in Relation to Their Spatial Ability

ERIC Educational Resources Information Center

Al-Balushi, Sulaiman M.; Coll, Richard Kevin

2013-01-01

The current study compared different learners' static and dynamic mental images of unseen scientific species and processes in relation to their spatial ability. Learners were classified into verbal, visual and schematic. Dynamic images were classified into: appearing/disappearing, linear-movement, and rotation. Two types of scientific entities and…

Does employment security modify the effect of housing affordability on mental health?

PubMed

Bentley, Rebecca; Baker, Emma; LaMontagne, Anthony; King, Tania; Mason, Kate; Kavanagh, Anne

2016-12-01

This paper uses longitudinal data to examine the interrelationship between two central social determinants of mental health - employment security and housing affordability. Data from ten annual waves of the longitudinal Household, Income and Labour Dynamics in Australia (HILDA) survey (which commenced in 2000/1 and is ongoing) were analysed using fixed-effects longitudinal linear regression. Change in the SF-36 Mental Component Summary (MCS) score of working age individuals (25-64 years) (51,885 observations of 10,776 people), associated with changes in housing affordability was examined. Models were adjusted for income, age, survey year, experience of serious injury/illness and separation/divorce. We tested for an additive interaction between the security of a household's employment arrangements and housing affordability. People in insecurely employed households appear more vulnerable than people in securely employed households to negative mental health effects of housing becoming unaffordable. In adjusted models, people in insecurely employed households whose housing became unaffordable experienced a decline in mental health (B=-1.06, 95% CI -1.75 to -0.38) while people in securely employed households experienced no difference on average. To progress our understanding of the Social Determinants of Health this analysis provides evidence of the need to bridge the (largely artificial) separation of social determinants, and understand how they are related.

Investigating students' mental models and knowledge construction of microscopic friction. II. Implications for curriculum design and development

NASA Astrophysics Data System (ADS)

Corpuz, Edgar D.; Rebello, N. Sanjay

2011-12-01

Our previous research showed that students’ mental models of friction at the atomic level are significantly influenced by their macroscopic ideas. For most students, friction is due to the meshing of bumps and valleys and rubbing of atoms. The aforementioned results motivated us to further investigate how students can be helped to improve their present models of microscopic friction. Teaching interviews were conducted to study the dynamics of their model construction as they interacted with the interviewer, the scaffolding activities, and/or with each other. In this paper, we present the different scaffolding activities and the variation in the ideas that students generated as they did the hands-on and minds-on scaffolding activities. Results imply that through a series of carefully designed scaffolding activities, it is possible to facilitate the refinement of students’ ideas of microscopic friction.

The Effect of Widowhood on Mental Health - an Analysis of Anticipation Patterns Surrounding the Death of a Spouse.

PubMed

Siflinger, Bettina

2017-12-01

This study explores the effects of widowhood on mental health by taking into account the anticipation and adaptation to the partner's death. The empirical analysis uses representative panel data from the USA that are linked to administrative death records of the National Death Index. I estimate static and dynamic specifications of the panel probit model in which unobserved heterogeneity is modeled with correlated random effects. I find strong anticipation effects of the partner's death on the probability of depression, implying that the partner's death event cannot be assumed to be exogenous in econometric models. In the absence of any anticipation effects, the partner's death has long-lasting mental health consequences, leading to a significantly slower adaptation to widowhood. The results suggest that both anticipation effects and adaptation effects can be attributed to a caregiver burden and to the cause of death. The findings of this study have important implications for designing adequate social policies for the elderly US population that alleviate the negative consequences of bereavement. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Financial hardship, mastery and social support: Explaining poor mental health amongst the inadequately employed using data from the HILDA survey.

PubMed

Crowe, Laura; Butterworth, Peter; Leach, Liana

2016-12-01

This study analysed data from the Household Income and Labour Dynamics in Australia (HILDA) Survey to examine the relationship between employment status and mental health, and the mediating effects of financial hardship, mastery and social support. In addition, the study sought to explore the effects of duration of unemployment on mental health. The primary analysis used three waves of data from the HILDA Survey with 4965 young adult respondents. Longitudinal population-averaged logistic regression models assessed the association of employment status and mental health, including the contribution of mastery, financial hardship and social support in explaining this association between employment groups (unemployed vs. employed; under employed vs. employed). Sensitivity analyses utilised a fixed-effects approach and also considered the full-range of working-age respondents. Regression analysis was used to explore the effect of duration of unemployment on mental health. Respondents' who identified as unemployed or underemployed were at higher risk of poor mental health outcomes when compared to their employed counterparts. This association was ameliorated when accounting for mastery, financial hardship and social support for the unemployed, and was fully mediated for the underemployed. The fixed-effects models showed the transition to unemployment was associated with a decline in mental health and that mastery in particular contributed to that change. The same results were found with a broader age range of respondents. Finally, the relationship between duration of unemployment and mental health was not linear, with mental health showing marked decline across the first 9 weeks of unemployment. Mastery, social support and financial hardship are important factors in understanding the association of poor mental health with both unemployment and underemployment. Furthermore, the results suggest that the most deleterious effects on mental health may occur in the first two months of unemployment before plateauing. In order to prevent deterioration in mental health, these findings suggest intervention should commence immediately following job loss.

Daily fluctuations in teachers' well-being: a diary study using the Job Demands-Resources model.

PubMed

Simbula, Silvia

2010-10-01

The study tests the dynamic nature of the Job Demands-Resources model with regard to both motivational and health impairment processes. It does so by examining whether daily fluctuations in co-workers' support (i.e., a typical job resource) and daily fluctuations in work/family conflict (i.e., a typical job demand) predict day-levels of job satisfaction and mental health through work engagement and exhaustion, respectively. A total of 61 schoolteachers completed a general questionnaire and a daily survey over a period of five consecutive work days. Multilevel analyses provided evidence for both the above processes. Consistently with the hypotheses, our results showed that day-level work engagement mediated the impact of day-level co-workers' support on day-level job satisfaction and day-level mental health, after general levels of work engagement and outcome variables had been controlled for. Moreover, day-level exhaustion mediated the relationship between day-level work/family conflict and day-level job satisfaction and day-level mental health after general levels of exhaustion and outcome variables had been controlled for. These findings provide new insights into the dynamic psychological processes that determine daily fluctuations in employee well-being. Such insights may be transformed into job redesign strategies and other interventions designed to enhance work-related psychological well-being on a daily level.

"Syntonic change": a mental health perspective on avoiding the crises associated with change within organizations.

PubMed

Everly, G S

1999-01-01

Historically, change within organizations has led to increased stress within the workforce. Organizational change is usually met with resentment and resistance yielding a crisis which impinges upon not only organizational effectiveness, but mental health as well. Most change efforts result in failure yielding dramatic declines in productivity, as well as accelerated attrition within the human resource. This paper proposes a model of "syntonic change" as a means of meeting both the needs of the organization to remain dynamic and flexible, and the needs of the workforce for a sense of trust and safety.

Anticipating the Future of Mental Health Needs on Campus

ERIC Educational Resources Information Center

Bonfiglio, Robert A.

2016-01-01

The provision of college mental health services is undergoing a dynamic evolution. The ability of mental health practitioners and administrators to balance multiple and sometimes opposing trends may determine the future course of mental health services in higher education.

Participatory System Dynamics Modeling: Increasing Stakeholder Engagement and Precision to Improve Implementation Planning in Systems.

PubMed

Zimmerman, Lindsey; Lounsbury, David W; Rosen, Craig S; Kimerling, Rachel; Trafton, Jodie A; Lindley, Steven E

2016-11-01

Implementation planning typically incorporates stakeholder input. Quality improvement efforts provide data-based feedback regarding progress. Participatory system dynamics modeling (PSD) triangulates stakeholder expertise, data and simulation of implementation plans prior to attempting change. Frontline staff in one VA outpatient mental health system used PSD to examine policy and procedural "mechanisms" they believe underlie local capacity to implement evidence-based psychotherapies (EBPs) for PTSD and depression. We piloted the PSD process, simulating implementation plans to improve EBP reach. Findings indicate PSD is a feasible, useful strategy for building stakeholder consensus, and may save time and effort as compared to trial-and-error EBP implementation planning.

Supportive-Expressive Dynamic Psychotherapy in the Community Mental Health System: A Pilot Effectiveness Trial for the Treatment of Depression

PubMed Central

Connolly Gibbons, Mary Beth; Thompson, Sarah M.; Scott, Kelli; Schauble, Lindsay A.; Mooney, Tessa; Thompson, Donald; Green, Patricia; MacArthur, Mary Jo; Crits-Christoph, Paul

2013-01-01

The goal of the current article is to present the results of a randomized pilot investigation of a brief dynamic psychotherapy compared with treatment-as-usual (TAU) in the treatment of moderate-to-severe depression in the community mental health system. Forty patients seeking services for moderate-to-severe depression in the community mental health system were randomized to 12 weeks of psychotherapy, with either a community therapist trained in brief dynamic psychotherapy or a TAU therapist. Results indicated that blind judges could discriminate the dynamic sessions from the TAU sessions on adherence to dynamic interventions. The results indicate moderate-to-large effect sizes in favor of the dynamic psychotherapy over the TAU therapy in the treatment of depression. The Behavior and Symptom Identification Scale-24 showed that 50% of patients treated with dynamic therapy moved into a normative range compared with only 29% of patients treated with TAU. PMID:22962971

Mental health and social networks in early adolescence: a dynamic study of objectively-measured social interaction behaviors.

PubMed

Pachucki, Mark C; Ozer, Emily J; Barrat, Alain; Cattuto, Ciro

2015-01-01

How are social interaction dynamics associated with mental health during early stages of adolescence? The goal of this study is to objectively measure social interactions and evaluate the roles that multiple aspects of the social environment--such as physical activity and food choice--may jointly play in shaping the structure of children's relationships and their mental health. The data in this study are drawn from a longitudinal network-behavior study conducted in 2012 at a private K-8 school in an urban setting in California. We recruited a highly complete network sample of sixth-graders (n = 40, 91% of grade, mean age = 12.3), and examined how two measures of distressed mental health (self-esteem and depressive symptoms) are positionally distributed in an early adolescent interaction network. We ascertained how distressed mental health shapes the structure of relationships over a three-month period, adjusting for relevant dimensions of the social environment. Cross-sectional analyses of interaction networks revealed that self-esteem and depressive symptoms are differentially stratified by gender. Specifically, girls with more depressive symptoms have interactions consistent with social inhibition, while boys' interactions suggest robustness to depressive symptoms. Girls higher in self-esteem tended towards greater sociability. Longitudinal network behavior models indicate that gender similarity and perceived popularity are influential in the formation of social ties. Greater school connectedness predicts the development of self-esteem, though social ties contribute to more self-esteem improvement among students who identify as European-American. Cross-sectional evidence shows associations between distressed mental health and students' network peers. However, there is no evidence that connected students' mental health status becomes more similar in their over time because of their network interactions. These findings suggest that mental health during early adolescence may be less subject to mechanisms of social influence than network research in even slightly older adolescents currently indicates. Copyright © 2014. Published by Elsevier Ltd.

Dynamic Sustainability: Practitioners' Perspectives on Housing First Implementation Challenges and Model Fidelity Over Time

ERIC Educational Resources Information Center

Stergiopoulos, Vicky; Zerger, Suzanne; Jeyaratnam, Jeyagobi; Connelly, Jolynn; Kruk, Katherine; O'Campo, Patricia; Hwang, Stephen

2016-01-01

Objectives: Although Housing First (HF) is a popular evidence-based intervention for persons experiencing homelessness and mental illness, research exploring its sustainability over time is scant. This mixed methods study captures practitioners' perspectives on key shifts in implementation of Housing First in a large urban center, and factors…

The Architecture, Dynamics, and Development of Mental Processing: Greek, Chinese, or Universal?

ERIC Educational Resources Information Center

Demetriou, A.; Kui, Z.X.; Spanoudis, G.; Christou, C.; Kyriakides, L.; Platsidou, M.

2005-01-01

This study compared Greeks with Chinese, from 8 to 14 years of age, on measures of processing efficiency, working memory, and reasoning. All processes were addressed through three domains of relations: verbal/propositional, quantitative, and visuo/spatial. Structural equations modelling and rating scale analysis showed that the architecture and…

Establishment proper of the balanced scorecard indicators to support decision making in a university: a case study in Institut Teknologi Indonesia

NASA Astrophysics Data System (ADS)

Theresia, L.; Lahuddin, A. H.; Bangun, R.

2017-12-01

Balanced Scorecard (BSC) is a powerful tool in decision making process. Nevertheless, it is not rare that the BSC does not give satisfactory results because the indicators chosen do not reflect the needs of the organization. Therefore, indicator establishment is very crucial in the utilization of BSC. This research aims to determine the indicators BSC for a university and the research is a case study in Institut Teknologi Indonesia (ITI). In this study, BSC structure and indicators, comparison made by 4 previous researchers was used as the initial guide to determine the structure and indicators of ITI. And then, questionnaires were distributed to selected respondents and a focus group discussion (FGD) was conducted in order to produce indicators of BSC based on the mental model of the ITI. It is found 15 indicators based on the mental model of ITI. Furthermore, the relationships between the indicators are seen as dynamic relationships, and by using system dynamics, some feedback loops that are considered critical to organizational success can be identified and isolated.

Employment status and mental health among persons with and without a disability: evidence from an Australian cohort study.

PubMed

Milner, A; LaMontagne, A D; Aitken, Z; Bentley, R; Kavanagh, A M

2014-11-01

Unemployment and economic inactivity are associated with worse mental health in the general population, but there is limited understanding of whether these relationships are different for those persons with mental or physical disabilities. The aim of this study was to assess whether there were differences in mental health by labour force status among persons with and without disabilities. Over eight annual waves of the Household, Income and Labour Dynamics in Australia (HILDA) survey, a total of 2379 people with disabilities and 11 417 people without disabilities were identified. Mental health using the Mental Component Summary (MCS) from the Short Form 36 was modelled as a function of labour force status using fixed-effects regression models to control for time invariant confounding. Differences between those with and without disabilities were assessed by including an interaction term in regression models. After finding evidence of effect modification, regression models were stratified by disability status. After adjustment, unemployment and economic inactivity were associated with a -1.85 (95% CI -2.96 to -0.73, p=0.001) and -2.66 (95% CI -3.46 to -1.86, p<0.001) reduction in scores of the MCS among those with a disability. For those without a disability, there were smaller declines associated with unemployment (-0.57, 95% CI -1.02 to -0.12, p=0.013) and economic inactivity (-0.34, 95% CI -0.64 to 0.05, p=0.022). These results suggest a greater reduction in mental health for those persons with disabilities who were unemployed or economically inactive than those who were employed. This highlights the value of employment for people with disabilities. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Synaptic vesicle dynamic changes in a model of fragile X.

PubMed

Broek, Jantine A C; Lin, Zhanmin; de Gruiter, H Martijn; van 't Spijker, Heleen; Haasdijk, Elize D; Cox, David; Ozcan, Sureyya; van Cappellen, Gert W A; Houtsmuller, Adriaan B; Willemsen, Rob; de Zeeuw, Chris I; Bahn, Sabine

2016-01-01

Fragile X syndrome (FXS) is a single-gene disorder that is the most common heritable cause of intellectual disability and the most frequent monogenic cause of autism spectrum disorders (ASD). FXS is caused by an expansion of trinucleotide repeats in the promoter region of the fragile X mental retardation gene (Fmr1). This leads to a lack of fragile X mental retardation protein (FMRP), which regulates translation of a wide range of messenger RNAs (mRNAs). The extent of expression level alterations of synaptic proteins affected by FMRP loss and their consequences on synaptic dynamics in FXS has not been fully investigated. Here, we used an Fmr1 knockout (KO) mouse model to investigate the molecular mechanisms underlying FXS by monitoring protein expression changes using shotgun label-free liquid-chromatography mass spectrometry (LC-MS(E)) in brain tissue and synaptosome fractions. FXS-associated candidate proteins were validated using selected reaction monitoring (SRM) in synaptosome fractions for targeted protein quantification. Furthermore, functional alterations in synaptic release and dynamics were evaluated using live-cell imaging, and interpretation of synaptic dynamics differences was investigated using electron microscopy. Key findings relate to altered levels of proteins involved in GABA-signalling, especially in the cerebellum. Further exploration using microscopy studies found reduced synaptic vesicle unloading of hippocampal neurons and increased vesicle unloading in cerebellar neurons, which suggests a general decrease of synaptic transmission. Our findings suggest that FMRP is a regulator of synaptic vesicle dynamics, which supports the role of FMRP in presynaptic functions. Taken together, these studies provide novel insights into the molecular changes associated with FXS.

Under the golden psi: the franchising of mental health.

PubMed

Gessner, T L; Morisseau, D S

1980-11-01

M. Brewster-Smith (1968) divided the history of psychiatry into three revolutionary periods. The first was the unshackling of the lunatics and the conception of mental illness. The second revolution was the spread of the dynamic theory of Freud with its emphasis on the one-to-one therapeutic relationship. The third revolution was the community mental health movement with its emphasis on bringing treatment into the community. We are now on the verge of yet another revolution. The new revolution is quiet and its leaders come from within the psychiatric profession. The major feature of this revolution is the binding together of medical authority and social treatment models within a corporate structure. The new movement takes the individually oriented private practitioners and shows them that in union there is profit.

Mirror neurons, language, and embodied cognition.

PubMed

Perlovsky, Leonid I; Ilin, Roman

2013-05-01

Basic mechanisms of the mind, cognition, language, its semantic and emotional mechanisms are modeled using dynamic logic (DL). This cognitively and mathematically motivated model leads to a dual-model hypothesis of language and cognition. The paper emphasizes that abstract cognition cannot evolve without language. The developed model is consistent with a joint emergence of language and cognition from a mirror neuron system. The dual language-cognition model leads to the dual mental hierarchy. The nature of cognition embodiment in the hierarchy is analyzed. Future theoretical and experimental research is discussed. Published by Elsevier Ltd.

Analyzing the impact of social factors on homelessness: a Fuzzy Cognitive Map approach

PubMed Central

2013-01-01

Background The forces which affect homelessness are complex and often interactive in nature. Social forces such as addictions, family breakdown, and mental illness are compounded by structural forces such as lack of available low-cost housing, poor economic conditions, and insufficient mental health services. Together these factors impact levels of homelessness through their dynamic relations. Historic models, which are static in nature, have only been marginally successful in capturing these relationships. Methods Fuzzy Logic (FL) and fuzzy cognitive maps (FCMs) are particularly suited to the modeling of complex social problems, such as homelessness, due to their inherent ability to model intricate, interactive systems often described in vague conceptual terms and then organize them into a specific, concrete form (i.e., the FCM) which can be readily understood by social scientists and others. Using FL we converted information, taken from recently published, peer reviewed articles, for a select group of factors related to homelessness and then calculated the strength of influence (weights) for pairs of factors. We then used these weighted relationships in a FCM to test the effects of increasing or decreasing individual or groups of factors. Results of these trials were explainable according to current empirical knowledge related to homelessness. Results Prior graphic maps of homelessness have been of limited use due to the dynamic nature of the concepts related to homelessness. The FCM technique captures greater degrees of dynamism and complexity than static models, allowing relevant concepts to be manipulated and interacted. This, in turn, allows for a much more realistic picture of homelessness. Through network analysis of the FCM we determined that Education exerts the greatest force in the model and hence impacts the dynamism and complexity of a social problem such as homelessness. Conclusions The FCM built to model the complex social system of homelessness reasonably represented reality for the sample scenarios created. This confirmed that the model worked and that a search of peer reviewed, academic literature is a reasonable foundation upon which to build the model. Further, it was determined that the direction and strengths of relationships between concepts included in this map are a reasonable approximation of their action in reality. However, dynamic models are not without their limitations and must be acknowledged as inherently exploratory. PMID:23971944

Dynamic analysis for mental sweating of a group of eccrin sweat glands on a human fingertip by optical coherence tomography

NASA Astrophysics Data System (ADS)

Ohmi, Masato; Tanigawa, Motomu; Wada, Yuki; Haruna, Masamitsu

2011-05-01

OCT is highly potential for in vivo observation of human sweating dynamics which affects activity of the sympathetic nerve. In this paper, we demonstrate dynamic OCT analysis of mental sweating of a group of eccrin sweat glands. The sweating dynamics is tracked simultaneously for nineteen sweat glands by time-sequential piled-up en-face OCT images with the frame spacing of 3.3 sec. Strong non-uniformity is observed in mental sweating where the amount of excess sweat is different for each sweat gland although the sweat glands are adjacent to each other. The non-uniformity should be necessary to adjust as precisely the total amount of excess sweat as possible through the sympathetic nerve in response to strength of the stress.

Quality of life in bipolar disorder: towards a dynamic understanding.

PubMed

Morton, E; Murray, G; Michalak, E E; Lam, R W; Beaulieu, S; Sharma, V; Cervantes, P; Parikh, S V; Yatham, L N

2018-05-01

Although quality of life (QoL) is receiving increasing attention in bipolar disorder (BD) research and practice, little is known about its naturalistic trajectory. The dual aims of this study were to prospectively investigate: (a) the trajectory of QoL under guideline-driven treatment and (b) the dynamic relationship between mood symptoms and QoL. In total, 362 patients with BD receiving guideline-driven treatment were prospectively followed at 3-month intervals for up to 5 years. Mental (Mental Component Score - MCS) and physical (Physical Component Score - PCS) QoL were measured using the self-report SF-36. Clinician-rated symptom data were recorded for mania and depression. Multilevel modelling was used to analyse MCS and PCS over time, QoL trajectories predicted by time-lagged symptoms, and symptom trajectories predicted by time-lagged QoL. MCS exhibited a positive trajectory, while PCS worsened over time. Investigation of temporal relationships between QoL and symptoms suggested bidirectional effects: earlier depressive symptoms were negatively associated with mental QoL, and earlier manic symptoms were negatively associated with physical QoL. Importantly, earlier MCS and PCS were both negatively associated with downstream symptoms of mania and depression. The present investigation illustrates real-world outcomes for QoL under guideline-driven BD treatment: improvements in mental QoL and decrements in physical QoL were observed. The data permitted investigation of dynamic interactions between QoL and symptoms, generating novel evidence for bidirectional effects and encouraging further research into this important interplay. Investigation of relevant time-varying covariates (e.g. medications) was beyond scope. Future research should investigate possible determinants of QoL and the interplay between symptoms and wellbeing/satisfaction-centric measures of QoL.

The contemporary refugee crisis: an overview of mental health challenges.

PubMed

Silove, Derrick; Ventevogel, Peter; Rees, Susan

2017-06-01

There has been an unprecedented upsurge in the number of refugees worldwide, the majority being located in low-income countries with limited resources in mental health care. This paper considers contemporary issues in the refugee mental health field, including developments in research, conceptual models, social and psychological interventions, and policy. Prevalence data yielded by cross-sectional epidemiological studies do not allow a clear distinction to be made between situational forms of distress and frank mental disorder, a shortcoming that may be addressed by longitudinal studies. An evolving ecological model of research focuses on the dynamic inter-relationship of past traumatic experiences, ongoing daily stressors and the background disruptions of core psychosocial systems, the scope extending beyond the individual to the conjugal couple and the family. Although brief, structured psychotherapies administered by lay counsellors have been shown to be effective in the short term for a range of traumatic stress responses, questions remain whether these interventions can be sustained in low-resource settings and whether they meet the needs of complex cases. In the ideal circumstance, a comprehensive array of programs should be provided, including social and psychotherapeutic interventions, generic mental health services, rehabilitation, and special programs for vulnerable groups. Sustainability of services, ensuring best practice, evidence-based approaches, and promoting equity of access must remain the goals of future developments, a daunting challenge given that most refugees reside in settings where skills and resources in mental health care are in shortest supply. © 2017 World Psychiatric Association.

The contemporary refugee crisis: an overview of mental health challenges

PubMed Central

Silove, Derrick; Ventevogel, Peter; Rees, Susan

2017-01-01

There has been an unprecedented upsurge in the number of refugees worldwide, the majority being located in low‐income countries with limited resources in mental health care. This paper considers contemporary issues in the refugee mental health field, including developments in research, conceptual models, social and psychological interventions, and policy. Prevalence data yielded by cross‐sectional epidemiological studies do not allow a clear distinction to be made between situational forms of distress and frank mental disorder, a shortcoming that may be addressed by longitudinal studies. An evolving ecological model of research focuses on the dynamic inter‐relationship of past traumatic experiences, ongoing daily stressors and the background disruptions of core psychosocial systems, the scope extending beyond the individual to the conjugal couple and the family. Although brief, structured psychotherapies administered by lay counsellors have been shown to be effective in the short term for a range of traumatic stress responses, questions remain whether these interventions can be sustained in low‐resource settings and whether they meet the needs of complex cases. In the ideal circumstance, a comprehensive array of programs should be provided, including social and psychotherapeutic interventions, generic mental health services, rehabilitation, and special programs for vulnerable groups. Sustainability of services, ensuring best practice, evidence‐based approaches, and promoting equity of access must remain the goals of future developments, a daunting challenge given that most refugees reside in settings where skills and resources in mental health care are in shortest supply. PMID:28498581

Men's work, Women's work, and mental health: A longitudinal investigation of the relationship between the gender composition of occupations and mental health.

PubMed

Milner, Allison; King, Tania; LaMontagne, Anthony D; Bentley, Rebecca; Kavanagh, Anne

2018-05-01

This longitudinal investigation assesses the extent to which the gender composition of an occupation (e.g., the extent to which an occupation is comprised of males versus females) has an impact on mental health. We used 14 annual waves of the Household Income Labour Dynamics in Australia (HILDA) study to construct a measure representing the gender ratio of an occupation. The outcome measure was the Mental Health Inventory (MHI-5). A Mundlak model was used to compare within and between person effects, after controlling for possible confounders. Results suggest that males and females employed in occupations where their own gender was dominant had better mental health than those in gender-neutral occupations (between person effects). However, within-person results suggested that a movement from a gender-neutral to a male or female dominated occupation was associated with both a decline (females) and improvement (males) in mental health. These results highlight the need for more research on gender specific selection into and out of different occupations in order to progress understandings of gender as a social determinant of health in the work context. Copyright © 2018 Elsevier Ltd. All rights reserved.

A Multiple Case Study of Mental Health Interventions in Middle Income Countries: Considering the Science of Delivery.

PubMed

Kidd, Sean A; Madan, Athena; Rallabandi, Susmitha; Cole, Donald C; Muskat, Elisha; Raja, Shoba; Wiljer, David; Aylward, David; McKenzie, Kwame

2016-01-01

In the debate in global mental health about the most effective models for developing and scaling interventions, there have been calls for the development of a more robust literature regarding the "non-specific", science of delivery aspects of interventions that are locally, contextually, and culturally relevant. This study describes a rigorous, exploratory, qualitative examination of the key, non-specific intervention strategies of a diverse group of five internationally-recognized organizations addressing mental illness in middle income countries (MICs). A triangulated approach to inquiry was used with semi-structured interviews conducted with service recipients, service providers and leaders, and key community partners (N = 159). The interview focus was upon processes of implementation and operation. A grounded theory-informed analysis revealed cross cutting themes of: a holistic conceptualization of mental health problems, an intensive application of principles of leverage and creating the social, cultural, and policy "space" within which interventions could be applied and resourced. These findings aligned with key aspects of systems dynamic theory suggesting that it might be a helpful framework in future studies of mental health service implementation in MICs.

Policy reform dilemmas in promoting employment of persons with severe mental illness.

PubMed

Noble, J H

1998-06-01

Recent evaluations by the U.S. General Accounting Office and the National Alliance for the Mentally Ill of reemployment efforts of the federal-state vocational rehabilitation program found that services offered by state vocational rehabilitation agencies do not produce long-term earnings for clients with emotional or physical disabilities. This paper examines reasons for these poor outcomes and the implications of recent policy reform recommendations. Congress must decide whether to take action at the federal level to upgrade programs affecting persons with severe mental illnesses or to continue to rely on state decision making. The federal-state program largely wastes an estimated $490 million annually on time-limited services to consumers with mental illnesses. Rechanneled into a variety of innovative and more appropriate integrated services models, the money could buy stable annual vocational rehabilitation funding for 62,000 to 90,000 consumers with severe mental illnesses. Larger macrosystem problems involve the dynamics of the labor market that limit job opportunities and the powerful work disincentives for consumers with severe disabilities now inherent in Social Security Disability Insurance, Supplemental Security Income, Medicare, and Medicaid.

[General aspects of planning and care in mental health].

PubMed

Saforcada, E

1976-09-01

This paper reviews some general concepts on Planning, especially in public and welfare sectors, stressing those concerning the major flaws in the argentine system of mental health. The author considers the definition of planning levels, and sets forth three: general plan, program and project. The correlative implementation is also considered. The importance of feed-back from adequate evaluation is stressed, emphasizing three aspects: a) evaluation of dynamics, rate and extent of decrease, increase or stagnation; b) assessment of efficacity of factors involved; c) control and stabilization of goals already attained. The necessity to develop a human ecology, encompassing socio-cultural and psycho-social factors is stressed, together with fostering theoretical research and the use of its results by implementation agents. Several differences among prevailing mental health actions are pointed out which allow a distinction between two typical models: clinical and sanitarist. The main differences between them lye on: standard location of working sites, nature of basic actions, field of action, hypothesis for working, including ethiological and ecological assumptions, theoretical and methodological framework. A series of criteria for evaluating sanitary techniques and strategies are set forth, among which: operative procedures, length of treatments, degree of therapeutic concentration, and general pragmatic criteria. The indicators reviewed are: degree of efficacity, covering, degree of perseverance in treatments, cultural barriers between patient and therapist, delegation of functions into special, first-rate sanitary agents, needs for the training of mental health workers. An attempt is made at developping general evaluation criteria for mental health planning, and several indicators are proposed, among which: a) cost/efficacity ratio, including in costs the use of economical, human and physical resources; b) preventive capacities of the community; c) capacities for the community to generate new types of organization and social dynamics able to cope with increasing mental health demands; first-rate personnel and mental health agents performance and training; e) assessment of "distances" between theoretical planning and actual implementation outlines; f) requirements of time for the implementation of programs.

Shared decision making and medication management in the recovery process.

PubMed

Deegan, Patricia E; Drake, Robert E

2006-11-01

Mental health professionals commonly conceptualize medication management for people with severe mental illness in terms of strategies to increase compliance or adherence. The authors argue that compliance is an inadequate construct because it fails to capture the dynamic complexity of autonomous clients who must navigate decisional conflicts in learning to manage disorders over the course of years or decades. Compliance is rooted in medical paternalism and is at odds with principles of person-centered care and evidence-based medicine. Using medication is an active process that involves complex decision making and a chance to work through decisional conflicts. It requires a partnership between two experts: the client and the practitioner. Shared decision making provides a model for them to assess a treatment's advantages and disadvantages within the context of recovering a life after a diagnosis of a major mental disorder.

A case of mental nerve paresthesia due to dynamic compression of alveolar inferior nerve along an elongated styloid process.

PubMed

Gooris, Peter J J; Zijlmans, Jan C M; Bergsma, J Eelco; Mensink, Gertjan

2014-07-01

Spontaneous paresthesia of the mental nerve is considered an ominous clinical sign. Mental nerve paresthesia has also been referred to as numb chin syndrome. Several potentially different factors have been investigated for their role in interfering with the inferior alveolar nerve (IAN) and causing mental nerve neuropathy. In the present case, the patient had an elongated calcified styloid process that we hypothesized had caused IAN irritation during mandibular movement. This eventually resulted in progressive loss of sensation in the mental nerve region. To our knowledge, this dynamic irritation, with complete recovery after resection of the styloid process, has not been previously reported. Copyright © 2014 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

Cardiorespiratory Information Dynamics during Mental Arithmetic and Sustained Attention

PubMed Central

Widjaja, Devy; Montalto, Alessandro; Vlemincx, Elke; Marinazzo, Daniele; Van Huffel, Sabine; Faes, Luca

2015-01-01

An analysis of cardiorespiratory dynamics during mental arithmetic, which induces stress, and sustained attention was conducted using information theory. The information storage and internal information of heart rate variability (HRV) were determined respectively as the self-entropy of the tachogram, and the self-entropy of the tachogram conditioned to the knowledge of respiration. The information transfer and cross information from respiration to HRV were assessed as the transfer and cross-entropy, both measures of cardiorespiratory coupling. These information-theoretic measures identified significant nonlinearities in the cardiorespiratory time series. Additionally, it was shown that, although mental stress is related to a reduction in vagal activity, no difference in cardiorespiratory coupling was found when several mental states (rest, mental stress, sustained attention) are compared. However, the self-entropy of HRV conditioned to respiration was very informative to study the predictability of RR interval series during mental tasks, and showed higher predictability during mental arithmetic compared to sustained attention or rest. PMID:26042824

Mental health trajectories and their embeddedness in work and family circumstances: a latent state-trait approach to life-course trajectories.

PubMed

Cullati, Stéphane; Courvoisier, Delphine S; Burton-Jeangros, Claudine

2014-09-01

Mental health trajectories are known to be influenced by work and family circumstances. However, few studies have examined both of these influences simultaneously in a longitudinal manner. The life-course perspective stresses the importance of examining trajectories in terms of both stable and dynamic components. In this article we use structural equation models (latent state-trait, LST) to distinguish the stable and situational components of mental health trajectories and hypothesise that situational mental health is influenced by satisfaction with work and family, and this effect differs by gender. An analysis of data from a nationally representative sample of 1616 working Swiss residents (2000-2006) shows that mental health trajectories are mostly stable and only slightly sensitive to situational influences. However, situational influences in a given wave do predict situational influences in the next wave. Satisfaction with work and family influences situational mental health in both genders, but the impact is greater for men. In conclusion, the LST approach allows for the examination of mental health trajectories from a life-course perspective by distinguishing stable and situational components. Mental health trajectories are more stable and constant than they are dependent on work and family circumstances, and men are more sensitive to family circumstances than women. © 2014 The Authors. Sociology of Health & Illness © 2014 Foundation for the Sociology of Health & Illness/John Wiley & Sons.

Quantifying the propagation of distress and mental disorders in social networks.

PubMed

Scatà, Marialisa; Di Stefano, Alessandro; La Corte, Aurelio; Liò, Pietro

2018-03-22

Heterogeneity of human beings leads to think and react differently to social phenomena. Awareness and homophily drive people to weigh interactions in social multiplex networks, influencing a potential contagion effect. To quantify the impact of heterogeneity on spreading dynamics, we propose a model of coevolution of social contagion and awareness, through the introduction of statistical estimators, in a weighted multiplex network. Multiplexity of networked individuals may trigger propagation enough to produce effects among vulnerable subjects experiencing distress, mental disorder, which represent some of the strongest predictors of suicidal behaviours. The exposure to suicide is emotionally harmful, since talking about it may give support or inadvertently promote it. To disclose the complex effect of the overlapping awareness on suicidal ideation spreading among disordered people, we also introduce a data-driven approach by integrating different types of data. Our modelling approach unveils the relationship between distress and mental disorders propagation and suicidal ideation spreading, shedding light on the role of awareness in a social network for suicide prevention. The proposed model is able to quantify the impact of overlapping awareness on suicidal ideation spreading and our findings demonstrate that it plays a dual role on contagion, either reinforcing or delaying the contagion outbreak.

Dependence and resistance in community mental health care-Negotiations of user participation between staff and users.

PubMed

Femdal, I; Knutsen, I R

2017-10-01

WHAT IS KNOWN ON THE SUBJECT?: Implementation of user participation is described as a change from a paternalistic healthcare system to ideals of democratization where users' voices are heard in relational interplays with health professionals. The ideological shift involves a transition from welfare dependency and professional control towards more active service-user roles with associated rights and responsibilities. A collaborative relationship between users and professionals in mental health services is seen as important by both parties. Nevertheless, the health professionals find it challenging in practice to reorient their roles and to find productive ways to cooperate. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: This study illuminates how user participation is negotiated and involves multiple and shifting subject positions in the collaboration between users and professionals in community mental health care. By taking different positions, the relationship between users and professionals develops through dynamic interaction. This study challenges understandings of equality and implicit "truths" in user participation by illuminating subtle forms of power and dilemmas that arise in user-professional negotiations. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Instead of denying the appearance of power, it is important to question the execution of power in the interplay between users and professionals. Focusing on the negotiation processes between users and professionals is important for increasing reflection on and improving understanding of the dynamic in collaboration and speech. By focusing on negotiations, power can be used in productive ways in user-professional relationships. Introduction Implementation of user participation is considered important in today's mental health care. Research shows, however, that user participation lacks clarity and provokes uncertainty regarding shifting roles. Aim To investigate negotiation of user participation in a microstudy of interplay between users and health professionals in community mental health care. Method This qualitative study is based on semi-structured in-depth interviews, involving ten service users and ten professionals in community mental health care in Norway. The analysis is inspired by Willig's model for Foucauldian discourse analysis. Results The study illuminates the dynamic nature of user participation that arises through negotiation between users' and professionals' positions as change enablers, dependents, resisters, persuaders and knowledge holders. Discussion Discourses of user participation allow for different subject positions in mental health care. User participation also involves government and questions of power, as well as ambitions of change and control. Professionals act in different ways to make and keep users active, participating, enterprising and self-governing, and users respond and take part within the same discursive framework. Implications for practice Awareness of subjects' positions in discourses is important to increase reflection on the dynamic interplay in user-professional collaboration. © 2017 John Wiley & Sons Ltd.

How financial hardship is associated with the onset of mental health problems over time.

PubMed

Kiely, Kim M; Leach, Liana S; Olesen, Sarah C; Butterworth, Peter

2015-06-01

Poor mental health has been consistently linked with the experience of financial hardship and poverty. However, the temporal association between these factors must be clarified before hardship alleviation can be considered as an effective mental health promotion and prevention strategy. We examined whether the longitudinal associations between financial hardship and mental health problems are best explained by an individual's current or prior experience of hardship, or their underlying vulnerability. We analysed nine waves (years: 2001-2010) of nationally representative panel data from the Household, Income, and Labour Dynamics in Australia survey (n = 11,134). Two components of financial hardship (deprivation and cash-flow problems) and income poverty were coded into time-varying and time-invariant variables reflecting the contemporaneous experience of hardship (i.e., current), the prior experience of hardship (lagged/12 months), and any experience of hardship during the study period (vulnerability). Multilevel, mixed-effect logistic regression models tested the associations between these measures and mental health. Respondents who reported deprivation and cash-flow problems had greater risk of mental health problems than those who did not. Individuals vulnerable to hardship had greater risk of mental health problems, even at the times they did not report hardship. However, their risk of mental health problems was greater on occasions when they did experience hardship. The results are consistent with the argument that economic and social programmes that address and prevent hardship may promote community mental health.

Stigma and mental disorder: conceptions of illness, public attitudes, personal disclosure, and social policy.

PubMed

Hinshaw, S P; Cicchetti, D

2000-01-01

The end of the last millennium witnessed an unprecedented degree of public awareness regarding mental disorder as well as motivation for policy change. Like Sartorius, we contend that the continued stigmatization of mental illness may well be the central issue facing the field, as nearly all attendant issues (e.g., standards of care, funding for basic and applied research efforts) emanate from professional, societal, and personal attitudes towards persons with aberrant behavior. We discuss empirical and narrative evidence for stigmatization as well as historical trends regarding conceptualizations of mental illness, including the field's increasing focus on genetic and neurobiological causes and determinants of mental disorder. We next define stigma explicitly, noting both the multiple levels (community, societal, familial, individual) through which stigma operates to dehumanize and delegitimize individuals with mental disorders and the impact of stigma across development. Key developmental psychopathology principles are salient in this regard. We express concern over the recent oversimplification of mental illness as "brain disorder," supporting instead transactional models which account for the dynamic interplay of genes, neurobiology, environment, and self across development and which are consistent with both compassion and societal responsibility. Finally, we consider educational and policy-related initiatives regarding the destigmatization of mental disorder. We conclude that attitudes and policy regarding mental disorder reflect, in microcosmic form, two crucial issues for the next century and millennium: (a) tolerance for diversity (vs. pressure for conformity) and (b) intentional direction of our species' evolution, given fast-breaking genetic advances.

Trajectories and Personality Correlates of Change in Perceptions of Physical and Mental Health across Adulthood and Old Age

ERIC Educational Resources Information Center

Morack, Jennifer; Infurna, Frank J.; Ram, Nilam; Gerstorf, Denis

2013-01-01

Subjective health is known to predict later outcomes, including survival. However, less is known about subjective health changes across adulthood, how personality moderates those changes, and whether such associations differ with age. We applied growth models to 10 waves of data from the Household, Income and Labour Dynamics in Australia Survey…

A system dynamics approach for modeling construction workers' safety attitudes and behaviors.

PubMed

Shin, Mingyu; Lee, Hyun-Soo; Park, Moonseo; Moon, Myunggi; Han, Sangwon

2014-07-01

Construction accidents are caused by an unsafe act (i.e., a person's behavior or activity that deviates from normal accepted safe procedure) and/or an unsafe condition (i.e., a hazard or an unsafe mechanical or physical environment). While there has been dramatic improvement in creating safer construction environments, relatively little is known regarding the elimination of construction workers' unsafe acts. To address this deficiency, this paper aims to develop a system dynamics (SD)-based model of construction workers' mental processes that can help analyze the feedback mechanisms and the resultant dynamics regarding the workers' safety attitudes and safe behaviors. The developed model is applied to examine the effectiveness of three safety improvement policies: incentives for safe behaviors, and increased levels of communication and immersion in accidents. Application of the model verifies the strong potential of the developed model to provide a better understanding of how to eliminate unsafe acts, and to function as a robust test-bed to assess the effectiveness of safety programs or training sessions before their implementation. Copyright © 2013 Elsevier Ltd. All rights reserved.

Automatic conversational scene analysis in children with Asperger syndrome/high-functioning autism and typically developing peers.

PubMed

Tavano, Alessandro; Pesarin, Anna; Murino, Vittorio; Cristani, Marco

2014-01-01

Individuals with Asperger syndrome/High Functioning Autism fail to spontaneously attribute mental states to the self and others, a life-long phenotypic characteristic known as mindblindness. We hypothesized that mindblindness would affect the dynamics of conversational interaction. Using generative models, in particular Gaussian mixture models and observed influence models, conversations were coded as interacting Markov processes, operating on novel speech/silence patterns, termed Steady Conversational Periods (SCPs). SCPs assume that whenever an agent's process changes state (e.g., from silence to speech), it causes a general transition of the entire conversational process, forcing inter-actant synchronization. SCPs fed into observed influence models, which captured the conversational dynamics of children and adolescents with Asperger syndrome/High Functioning Autism, and age-matched typically developing participants. Analyzing the parameters of the models by means of discriminative classifiers, the dialogs of patients were successfully distinguished from those of control participants. We conclude that meaning-free speech/silence sequences, reflecting inter-actant synchronization, at least partially encode typical and atypical conversational dynamics. This suggests a direct influence of theory of mind abilities onto basic speech initiative behavior.

Acquiring neural signals for developing a perception and cognition model

NASA Astrophysics Data System (ADS)

Li, Wei; Li, Yunyi; Chen, Genshe; Shen, Dan; Blasch, Erik; Pham, Khanh; Lynch, Robert

2012-06-01

The understanding of how humans process information, determine salience, and combine seemingly unrelated information is essential to automated processing of large amounts of information that is partially relevant, or of unknown relevance. Recent neurological science research in human perception, and in information science regarding contextbased modeling, provides us with a theoretical basis for using a bottom-up approach for automating the management of large amounts of information in ways directly useful for human operators. However, integration of human intelligence into a game theoretic framework for dynamic and adaptive decision support needs a perception and cognition model. For the purpose of cognitive modeling, we present a brain-computer-interface (BCI) based humanoid robot system to acquire brainwaves during human mental activities of imagining a humanoid robot-walking behavior. We use the neural signals to investigate relationships between complex humanoid robot behaviors and human mental activities for developing the perception and cognition model. The BCI system consists of a data acquisition unit with an electroencephalograph (EEG), a humanoid robot, and a charge couple CCD camera. An EEG electrode cup acquires brainwaves from the skin surface on scalp. The humanoid robot has 20 degrees of freedom (DOFs); 12 DOFs located on hips, knees, and ankles for humanoid robot walking, 6 DOFs on shoulders and arms for arms motion, and 2 DOFs for head yaw and pitch motion. The CCD camera takes video clips of the human subject's hand postures to identify mental activities that are correlated to the robot-walking behaviors. We use the neural signals to investigate relationships between complex humanoid robot behaviors and human mental activities for developing the perception and cognition model.

Forgiveness, Stress, and Health: a 5-Week Dynamic Parallel Process Study

PubMed Central

Toussaint, Loren L.; Shields, Grant S.; Slavich, George M.

2016-01-01

Background Psychological stress is a well-known risk factor for poor health, and recent research has suggested that the emotion-focused coping process of forgiveness may help mitigate these effects. To date, however, no studies have examined how levels of forgiveness, stress, and health fluctuate and interrelate over time. Purpose We addressed this issue by examining how forgiveness, stress, and mental and physical health symptoms change and relate to one another over 5 weeks. We hypothesized that increases in state levels of forgiveness would be associated with decreases in perceptions of stress, which would in turn be related to decreases in mental and physical health symptoms. A reverse effects model was also tested. Methods We recruited a large, community-based sample of 332 young, middle-aged, and older adults (16–79 years old; Mage = 27.9). Each week for 5 weeks, participants reported on their levels of state forgiveness, perceived stress, and mental and physical health symptoms. Results Levels of forgiveness, stress, and mental and physical health symptoms each showed significant change and individual variability in change over time. As hypothesized, increases in forgiveness were associated with decreases in stress, which were in turn related to decreases in mental (but not physical) health symptoms (i.e., forgiveness→ stress→ health). The reverse effects model (i.e., health → stress → forgiveness) provided a relatively poorer fit. Conclusions This study is the first to provide prospective, longitudinal evidence showing that greater forgiveness is associated with less stress and, in turn, better mental health. Strategies for cultivating forgiveness may thus have beneficial effects on stress and health. PMID:27068160

Perspectives: parity--prelude to a fifth cycle of reform.

PubMed

Goldman, Howard H

2002-09-01

Based on 2000 Carl Taube Lecture at the NIMH Mental Health Economics Meeting. This perspective article examines the relationship between a policy of parity in financing mental health services and the future of reform in service delivery. Applying theories of static and dynamic efficiency to an understanding of parity and the evolution of mental health services, drawing upon Burton Weisbrod s concept of the health care quadrilemma . Each of four cycles of reform in mental health services have contended with issues of static and dynamic efficiency. Each cycle was associated with static efficiency in the management and financing of services, and each was associated with a set of new treatment technologies intended to improve dynamic efficiency. Each reform proved ultimately unsuccessful primarily because of the failure of the treatment technologies to prevent future patient chronicity or to achieve sustained recovery. Recent advances in treatment technology and management of care can permit an unprecedented level of efficiency consistent with a policy of improved access to mainstream health and social welfare resources, including insurance coverage. This policy of so-called financing parity can improve current mental health service delivery, but it may also portend a future fifth cycle of reform. If new technologies continue to advance as full technologies - simple to deliver and producing true recovery - and mainstream resources are made available, then the specialty mental health services may contract dramatically in favor of effective care and treatment of mental illness in primary care and other mainstream settings. Predicting the future of health care is speculative, but it may be easier using the Weisbrod formulation to understand the process of mental health reform. Over-reliance on administrative techniques for building static efficiency and false optimism about dynamic efficiency from new technology have stymied previous reforms. All the same, a fifth cycle of reform could succeed, if the right conditions are met and mainstream resources are available.

One-year reciprocal relationship between community participation and mental wellbeing in Australia: a panel analysis.

PubMed

Ding, Ning; Berry, Helen L; O'Brien, Léan V

2015-03-01

The links between social capital and mental wellbeing are established but the direction of the social capital-wellbeing relationship is rarely systematically examined. This omission undermines the validity of social capital as a basis for health interventions. The aim of this paper was to explore the short-term (one-year) reciprocal relationship between community participation - an important component of social capital - and mental wellbeing. We used nationally representative Household, Income and Labour Dynamics in Australia (HILDA) Survey data, 2005-11. The HILDA Survey is an annual cohort study from which was extracted a sub-sample of panel data (the same people participating across multiple waves) enabling us to use fixed effects regression methods to model the longitudinal association of mental health and participation controlling for individual heterogeneity. The results showed that better mental wellbeing in one year was generally related to more community participation the next year, while greater past community participation was linked to better mental wellbeing the next year independent of (i) initial mental wellbeing, (ii) multiple potentially confounding factors and (iii) unobserved and time-constant heterogeneity. Political participation was marginally related to worse mental health in both directions. The results also showed that the association between community participation and mental wellbeing the next year is weaker for those with poor initial wellbeing than for initially healthier respondents. Our findings may inform the trial and scientific evaluation of programs aimed at increasing informal social connectedness and civic engagement to promote mental wellbeing. Copyright © 2015 Elsevier Ltd. All rights reserved.

Modeling behavior dynamics using computational psychometrics within virtual worlds.

PubMed

Cipresso, Pietro

2015-01-01

In case of fire in a building, how will people behave in the crowd? The behavior of each individual affects the behavior of others and, conversely, each one behaves considering the crowd as a whole and the individual others. In this article, I propose a three-step method to explore a brand new way to study behavior dynamics. The first step relies on the creation of specific situations with standard techniques (such as mental imagery, text, video, and audio) and an advanced technique [Virtual Reality (VR)] to manipulate experimental settings. The second step concerns the measurement of behavior in one, two, or many individuals focusing on parameters extractions to provide information about the behavior dynamics. Finally, the third step, which uses the parameters collected and measured in the previous two steps in order to simulate possible scenarios to forecast through computational models, understand, and explain behavior dynamics at the social level. An experimental study was also included to demonstrate the three-step method and a possible scenario.

Trajectories of Depressive Symptoms Among a Population of HIV-Infected Men and Women in Routine HIV Care in the United States.

PubMed

Bengtson, Angela M; Pence, Brian W; Powers, Kimberly A; Weaver, Mark A; Mimiaga, Matthew J; Gaynes, Bradley N; O'Cleirigh, Conall; Christopoulos, Katerina; Christopher Mathews, W; Crane, Heidi; Mugavero, Michael

2018-04-06

Depressive symptoms vary in severity and chronicity. We used group-based trajectory models to describe trajectories of depressive symptoms (measured using the Patient Health Questionnaire-9) and predictors of trajectory group membership among 1493 HIV-infected men (84%) and 292 HIV-infected women (16%). At baseline, 29% of women and 26% of men had depressive symptoms. Over a median of 30 months of follow-up, we identified four depressive symptom trajectories for women (labeled "low" [experienced by 56% of women], "mild/moderate" [24%], "improving" [14%], and "severe" [6%]) and five for men ("low" [61%], "mild/moderate" [14%], "rebounding" [5%], "improving" [13%], and "severe" [7%]). Baseline antidepressant prescription, panic symptoms, and prior mental health diagnoses were associated with more severe or dynamic depressive symptom trajectories. Nearly a quarter of participants experienced some depressive symptoms, highlighting the need for improved depression management. Addressing more severe or dynamic depressive symptom trajectories may require interventions that additionally address mental health comorbidities.

Lattice Dynamics of Rare Gas Multilayers on the Ag(111) Surface. Theory and Experiment.

DTIC Science & Technology

1985-08-01

phonon spectra generated from some simpler models, such as a nearest neighbor central force model, and also use of the Lennard - Jones ) Sa potential ... potentials and one from the Lennard - jones 6-12 potential , foc the ehr.. rare aases. The value for ko was defined from the experi- A 4. 7’,.V 19 mentally...derivative divided by the adsorbate mass. It is immediately obvious that the Barker pair potential value for ko is about 50% larger than the Lennard - Jones

A formal model of interpersonal inference

PubMed Central

Moutoussis, Michael; Trujillo-Barreto, Nelson J.; El-Deredy, Wael; Dolan, Raymond J.; Friston, Karl J.

2014-01-01

Introduction: We propose that active Bayesian inference—a general framework for decision-making—can equally be applied to interpersonal exchanges. Social cognition, however, entails special challenges. We address these challenges through a novel formulation of a formal model and demonstrate its psychological significance. Method: We review relevant literature, especially with regards to interpersonal representations, formulate a mathematical model and present a simulation study. The model accommodates normative models from utility theory and places them within the broader setting of Bayesian inference. Crucially, we endow people's prior beliefs, into which utilities are absorbed, with preferences of self and others. The simulation illustrates the model's dynamics and furnishes elementary predictions of the theory. Results: (1) Because beliefs about self and others inform both the desirability and plausibility of outcomes, in this framework interpersonal representations become beliefs that have to be actively inferred. This inference, akin to “mentalizing” in the psychological literature, is based upon the outcomes of interpersonal exchanges. (2) We show how some well-known social-psychological phenomena (e.g., self-serving biases) can be explained in terms of active interpersonal inference. (3) Mentalizing naturally entails Bayesian updating of how people value social outcomes. Crucially this includes inference about one's own qualities and preferences. Conclusion: We inaugurate a Bayes optimal framework for modeling intersubject variability in mentalizing during interpersonal exchanges. Here, interpersonal representations are endowed with explicit functional and affective properties. We suggest the active inference framework lends itself to the study of psychiatric conditions where mentalizing is distorted. PMID:24723872

Depression, a Hidden Mental Health Disparity in an Asian Indian Immigrant Community.

PubMed

Roberts, Lisa R; Mann, Semran K; Montgomery, Susanne B

2015-12-23

Cultural influences are deeply rooted, and continue to affect the lives of Asian-Indian (AI) immigrants living in Western culture. Emerging literature suggests the powerful nature of traditions and culture on the lives, mental and physical health of AI immigrants, particularly women. The purpose of this study was to explore depression among AI women in Central California (CC). This mixed-methods research was conducted in collaboration with the CC Punjabi community and the support of local religious leaders. All interviews were conducted in Punjabi and English. Whenever possible we utilized validated scales aligned with emerging themes from the qualitative data, which also provided contextualization to survey responses. In all we conducted 11 key informant interviews, four focus groups (n = 47) and a rigorously developed anonymous survey (n = 350). Social dynamics and traditional expectations including gendered roles significantly affected mental health among women participants. Subgroups along the lines of language choice (Punjabi vs. English) experience and report depression differently in part due to the highly stigmatized nature of mental health issues in this model minority community. The findings of this study highlight the importance of utilizing mixed methods to access hard to reach populations regarding sensitive topics such as mental health.

Depression, a Hidden Mental Health Disparity in an Asian Indian Immigrant Community

PubMed Central

Roberts, Lisa R.; Mann, Semran K.; Montgomery, Susanne B.

2015-01-01

Cultural influences are deeply rooted, and continue to affect the lives of Asian-Indian (AI) immigrants living in Western culture. Emerging literature suggests the powerful nature of traditions and culture on the lives, mental and physical health of AI immigrants, particularly women. The purpose of this study was to explore depression among AI women in Central California (CC). This mixed-methods research was conducted in collaboration with the CC Punjabi community and the support of local religious leaders. All interviews were conducted in Punjabi and English. Whenever possible we utilized validated scales aligned with emerging themes from the qualitative data, which also provided contextualization to survey responses. In all we conducted 11 key informant interviews, four focus groups (n = 47) and a rigorously developed anonymous survey (n = 350). Social dynamics and traditional expectations including gendered roles significantly affected mental health among women participants. Subgroups along the lines of language choice (Punjabi vs. English) experience and report depression differently in part due to the highly stigmatized nature of mental health issues in this model minority community. The findings of this study highlight the importance of utilizing mixed methods to access hard to reach populations regarding sensitive topics such as mental health. PMID:26703654

A Multiple Case Study of Mental Health Interventions in Middle Income Countries: Considering the Science of Delivery

PubMed Central

Cole, Donald C.; Muskat, Elisha; Raja, Shoba; Wiljer, David; Aylward, David

2016-01-01

In the debate in global mental health about the most effective models for developing and scaling interventions, there have been calls for the development of a more robust literature regarding the "non-specific", science of delivery aspects of interventions that are locally, contextually, and culturally relevant. This study describes a rigorous, exploratory, qualitative examination of the key, non-specific intervention strategies of a diverse group of five internationally-recognized organizations addressing mental illness in middle income countries (MICs). A triangulated approach to inquiry was used with semi-structured interviews conducted with service recipients, service providers and leaders, and key community partners (N = 159). The interview focus was upon processes of implementation and operation. A grounded theory-informed analysis revealed cross cutting themes of: a holistic conceptualization of mental health problems, an intensive application of principles of leverage and creating the social, cultural, and policy “space” within which interventions could be applied and resourced. These findings aligned with key aspects of systems dynamic theory suggesting that it might be a helpful framework in future studies of mental health service implementation in MICs. PMID:27011053

Can Facebook Reduce Perceived Anxiety Among College Students? Randomized Controlled Exercise Trial Using the Transtheoretical Model of Behavior Change

PubMed Central

Frith, Emily

2017-01-01

Background Recent studies suggest social media may be an attractive strategy to promote mental health and wellness. There remains a need to examine the utility for individually tailored wellness messages posted to social media sites such as Facebook to facilitate positive psychological outcomes. Objective Our aim was to extend the growing body of evidence supporting the potential for social media to enhance mental health. We evaluated the influence of an 8-week social media intervention on anxiety in college students and examined the impact of dynamic (active) versus static (passive) Facebook content on physical activity behaviors. Methods Participants in the static group (n=21) accessed a Facebook page featuring 96 statuses. Statuses were intended to engage cognitive processes followed by behavioral processes of change per the transtheoretical model of behavior change. Content posted on the static Facebook page was identical to the dynamic page; however, the static group viewed all 96 statuses on the first day of the study, while the dynamic group received only 1 to 2 of these status updates per day throughout the intervention. Anxiety was measured using the Overall Anxiety Severity and Impairment Scale (OASIS). Time spent engaging in physical activity was assessed using the International Physical Activity Questionnaire (IPAQ). Results The OASIS change score for the dynamic Facebook group was statistically significant (P=.003), whereas the change score for the static group was not (P=.48). A statistically significant group-by-time interaction was observed (P=.03). The total IPAQ group-by-time interaction was not statistically significant (P=.06). Conclusions We observed a decrease in anxiety and increase in total physical activity for the dynamic group only. Dynamic social networking sites, featuring regularly updated content, may be more advantageous than websites that retain static content over time. Trial Registration ClinicalTrials.gov NCT03363737; https://clinicaltrials.gov/ct2/show/NCT03363737 (Archived by WebCite at http://www.webcitation.org/6vXzNbOWJ) PMID:29222077

Mental Rotation of Dynamic, Three-Dimensional Stimuli by 3-Month-Old Infants

ERIC Educational Resources Information Center

Moore, David S.; Johnson, Scott P.

2011-01-01

Mental rotation involves transforming a mental image of an object so as to accurately predict how the object would look if it were rotated in space. This study examined mental rotation in male and female 3-month-olds, using the stimuli and paradigm developed by Moore and Johnson (2008). Infants were habituated to a video of a three-dimensional…

Using near infrared spectroscopy and heart rate variability to detect mental overload.

PubMed

Durantin, G; Gagnon, J-F; Tremblay, S; Dehais, F

2014-02-01

Mental workload is a key factor influencing the occurrence of human error, especially during piloting and remotely operated vehicle (ROV) operations, where safety depends on the ability of pilots to act appropriately. In particular, excessively high or low mental workload can lead operators to neglect critical information. The objective of the present study is to investigate the potential of functional near infrared spectroscopy (fNIRS) - a non-invasive method of measuring prefrontal cortex activity - in combination with measurements of heart rate variability (HRV), to predict mental workload during a simulated piloting task, with particular regard to task engagement and disengagement. Twelve volunteers performed a computer-based piloting task in which they were asked to follow a dynamic target with their aircraft, a task designed to replicate key cognitive demands associated with real life ROV operating tasks. In order to cover a wide range of mental workload levels, task difficulty was manipulated in terms of processing load and difficulty of control - two critical sources of workload associated with piloting and remotely operating a vehicle. Results show that both fNIRS and HRV are sensitive to different levels of mental workload; notably, lower prefrontal activation as well as a lower LF/HF ratio at the highest level of difficulty, suggest that these measures are suitable for mental overload detection. Moreover, these latter measurements point toward the existence of a quadratic model of mental workload. Copyright © 2013 Elsevier B.V. All rights reserved.

Mutual Influence of Moral Values, Mental Models and Social Dynamics on Intergroup Conflict

DTIC Science & Technology

2013-10-10

Ground-truthed previous human subjects’ data from Guatemala to test overall validity of psychological findings for predicting actual behavior, thus...of findings for development of social science disciplines: In psychology , our research program on Sacred Values has strong implications for Construal...affording them psychological knowledge of how culturally diverse individuals and groups advance values and interests that are potentially compatible or

The use of Multiple Representations to Enhance Student Mental Model Development of a Complex Earth System in an Introductory Geoscience Course

NASA Astrophysics Data System (ADS)

Sell, K. S.; Heather, M. R.; Herbert, B. E.

2004-12-01

Exposing earth system science (ESS) concepts into introductory geoscience courses may present new and unique cognitive learning issues for students including understanding the role of positive and negative feedbacks in system responses to perturbations, spatial heterogeneity, and temporal dynamics, especially when systems exhibit complex behavior. Implicit learning goals of typical introductory undergraduate geoscience courses are more focused on building skill-sets and didactic knowledge in learners than developing a deeper understanding of the dynamics and processes of complex earth systems through authentic inquiry. Didactic teaching coupled with summative assessment of factual knowledge tends to limit student¡¦s understanding of the nature of science, their belief in the relevancy of science to their lives, and encourages memorization and regurgitation; this is especially true among the non-science majors who compose the majority of students in introductory courses within the large university setting. Students organize scientific knowledge and reason about earth systems by manipulating internally constructed mental models. This pilot study focuses on characterizing the impact of inquiry-based learning with multiple representations to foster critical thinking and mental model development about authentic environmental issues of coastal systems in an introductory geoscience course. The research was conducted in nine introductory physical geology laboratory sections (N ˜ 150) at Texas A&M University as part of research connected with the Information Technology in Science (ITS) Center. Participants were randomly placed into experimental and control groups. Experimental groups were exposed to multiple representations including both web-based learning materials (i.e. technology-supported visualizations and analysis of multiple datasets) and physical models, whereas control groups were provided with the traditional ¡workbook style¡" laboratory assignments. Assessment of pre- and post-test results was performed to provide indications of content knowledge and mental model expression improvements between groups. A rubric was used as the assessment instrument to evaluate student products (Cronbach alpha: 0.84 ¡V 0.98). Characterization of student performance based on a Student¡¦s t-test indicates that significant differences (p < 0.05) in pre-post achievement occurred primarily within the experimental group; this illustrates that the use of multiple representations had an impact on student learning of ESS concepts, particularly in regard to mental model constructions. Analysis of variance also suggests that student mental model constructions were significantly different (p < 0.10) between test groups. Factor analysis extracted three principle components (eigenvalue > 1) which show similar clustering of variables that influence cognition, indicating that the cognitive processes driving student understanding of geoscience do not vary among student test groups. Categories of cognition include critical thinking skills (percent variance = 22.16%), understanding of the nature of science (percent variance = 25.16%), and ability to interpret results (percent variance = 28.89%). Lower numbers of students completed all of the required assignments of this research than expected (65.3%), restricting the quality of the results and therefore the ability to make more significant interpretations; this was likely due to the non-supportive learning environment in which the research was implemented.

Mood states modulate complexity in heartbeat dynamics: A multiscale entropy analysis

NASA Astrophysics Data System (ADS)

Valenza, G.; Nardelli, M.; Bertschy, G.; Lanata, A.; Scilingo, E. P.

2014-07-01

This paper demonstrates that heartbeat complex dynamics is modulated by different pathological mental states. Multiscale entropy analysis was performed on R-R interval series gathered from the electrocardiogram of eight bipolar patients who exhibited mood states among depression, hypomania, and euthymia, i.e., good affective balance. Three different methodologies for the choice of the sample entropy radius value were also compared. We show that the complexity level can be used as a marker of mental states being able to discriminate among the three pathological mood states, suggesting to use heartbeat complexity as a more objective clinical biomarker for mental disorders.

The use of physical and virtual manipulatives in an undergraduate mechanical engineering (Dynamics) course

NASA Astrophysics Data System (ADS)

Pan, Edward A.

Science, technology, engineering, and mathematics (STEM) education is a national focus. Engineering education, as part of STEM education, needs to adapt to meet the needs of the nation in a rapidly changing world. Using computer-based visualization tools and corresponding 3D printed physical objects may help nontraditional students succeed in engineering classes. This dissertation investigated how adding physical or virtual learning objects (called manipulatives) to courses that require mental visualization of mechanical systems can aid student performance. Dynamics is one such course, and tends to be taught using lecture and textbooks with static diagrams of moving systems. Students often fail to solve the problems correctly and an inability to mentally visualize the system can contribute to student difficulties. This study found no differences between treatment groups on quantitative measures of spatial ability and conceptual knowledge. There were differences between treatments on measures of mechanical reasoning ability, in favor of the use of physical and virtual manipulatives over static diagrams alone. There were no major differences in student performance between the use of physical and virtual manipulatives. Students used the physical and virtual manipulatives to test their theories about how the machines worked, however their actual time handling the manipulatives was extremely limited relative to the amount of time they spent working on the problems. Students used the physical and virtual manipulatives as visual aids when communicating about the problem with their partners, and this behavior was also seen with Traditional group students who had to use the static diagrams and gesture instead. The explanations students gave for how the machines worked provided evidence of mental simulation; however, their causal chain analyses were often flawed, probably due to attempts to decrease cognitive load. Student opinions about the static diagrams and dynamic models varied by type of model (static, physical, virtual), but were generally favorable. The Traditional group students, however, indicated that the lack of adequate representation of motion in the static diagrams was a problem, and wished they had access to the physical and virtual models.

Biopsychosocial model in Depression revisited.

PubMed

Garcia-Toro, Mauro; Aguirre, Iratxe

2007-01-01

There are two fundamental etiological perspectives about mental disorders; biomedical and psychosocial. The biopsychosocial model has claimed to integrate these two perspectives in a scientific way, signalling their interconnection and interdependence. To that end, it used a systemic conceptual framework, taking advantage of the possibilities which it offers to establish general principles for diverse systems, independently of their physical, biological or sociological nature. In recent years, drawing on the theory of systems, theories have been developing of the dynamic non-linear systems, applicable to networks of a large quantity of densely interconnected elements (also called complex systems), like the mind or the brain. We believe that this revised systemic conceptual framework can bring integrative ideas to apply to Depression, such as the "binding dysfunction" concept we use in this article. According to this, vulnerability or predisposition to Depression would be associated with the imbalance between activating and inhibiting interactions (between some cognitions and emotions at a mental level, and between certain neuronal groups at a cerebral level). Precipitating factors would imply the increase of the activation level over this pattern of cognitions and emotions, or over those neuronal systems. When stress goes beyond the vulnerability threshold an excessive positive feedback between cognitions and emotions would appear (and between groups of neurons) with insufficient inhibitory control to mitigate it, which would imply a mental/cerebral dissociation in dominions of different level of activation. As a consequence, the generation and dissolution of patterns of cerebral and mental activation will no longer have the dynamism and flexibility that permits an optimal interaction with the environment ("binding dysfunction"). Therefore, our hypothesis is that the person with Depression will suffer at a cerebral level a functional dissociation in neural dominions (some rigidly hyperactive and others rigidly hypoactive) in determined locations, which would be a different combination from those found in other mental disorders. At a mental level, this would correlate with a functional dissociation in several cognitive-emotive dominions; some corresponds to over activated patterns of "depressive" cognitions and emotions that for that reason invade the consciousness frequently, intrusively and repetitively; meanwhile there are other alternative hypoactive emotions and cognitions that do not manage to become powerful enough to avoid the consequent distortion in the communication with the environment.

Dominant vs. nondominant arm advantage in mentally simulated actions in right handers.

PubMed

Gandrey, Philippe; Paizis, Christos; Karathanasis, Vassilis; Gueugneau, Nicolas; Papaxanthis, Charalambos

2013-12-01

Although plentiful data are available regarding mental states involving the dominant-right arm, the evidence for the nondominant-left arm is sparse. Here, we investigated whether right-handers can generate accurate predictions with either the right or the left arm. Fifteen adults carried out actual and mental arm movements in two directions with varying inertial resistance (inertial anisotropy phenomenon). We recorded actual and mental movement times and used the degree of their similarity as an indicator for the accuracy of motor imagery/prediction process. We found timing correspondences (isochrony) between actual and mental right arm movements in both rightward (low inertia resistance) and leftward (high inertia resistance) directions. Timing similarities between actual and mental left arm movements existed for the leftward direction (low inertia resistance) but not for the rightward direction (high inertia resistance). We found similar results when participants reaching towards the midline of the workspace, a result that excludes a hemispace effect. Electromyographic analysis during mental movements showed that arm muscles remained inactivate, thus eliminating a muscle activation strategy that could explain intermanual differences. Furthermore, motor-evoked potentials enhancement in both right and left biceps brachii during mental actions indicated that subjects were actively engaged in mental movement simulation and that the disadvantage of the left arm cannot be attributed to the nonactivation of the right motor cortex. Our findings suggest that predictive mechanisms are more robust for the right than the left arm in right-handers. We discussed these findings from the perspective of the internal models theory and the dynamic-dominance hypothesis of laterality.

Mental Health Manpower and the Psychiatric Technician.

ERIC Educational Resources Information Center

National Association of Psychiatric Technology, Sacramento, CA.

Dynamic changes are taking place in the field of mental health care which have a great effect on those people who provide the primary services of patient care, rehabilitation, and training. In recognition of these changes, the National Association of Psychiatric Technology selected "Mental Health Manpower and the Psychiatric Technician"…

The dynamics of embodiment: a field theory of infant perseverative reaching.

PubMed

Thelen, E; Schöner, G; Scheier, C; Smith, L B

2001-02-01

The overall goal of this target article is to demonstrate a mechanism for an embodied cognition. The particular vehicle is a much-studied, but still widely debated phenomenon seen in 7-12 month-old-infants. In Piaget's classic "A-not-B error," infants who have successfully uncovered a toy at location "A" continue to reach to that location even after they watch the toy hidden in a nearby location "B." Here, we question the traditional explanations of the error as an indicator of infants' concepts of objects or other static mental structures. Instead, we demonstrate that the A-not-B error and its previously puzzling contextual variations can be understood by the coupled dynamics of the ordinary processes of goal-directed actions: looking, planning, reaching, and remembering. We offer a formal dynamic theory and model based on cognitive embodiment that both simulates the known A-not-B effects and offers novel predictions that match new experimental results. The demonstration supports an embodied view by casting the mental events involved in perception, planning, deciding, and remembering in the same analogic dynamic language as that used to describe bodily movement, so that they may be continuously meshed. We maintain that this mesh is a pre-eminently cognitive act of "knowing" not only in infancy but also in everyday activities throughout the life span.

Forgiveness, Stress, and Health: a 5-Week Dynamic Parallel Process Study.

PubMed

Toussaint, Loren L; Shields, Grant S; Slavich, George M

2016-10-01

Psychological stress is a well-known risk factor for poor health, and recent research has suggested that the emotion-focused coping process of forgiveness may help mitigate these effects. To date, however, no studies have examined how levels of forgiveness, stress, and health fluctuate and interrelate over time. We addressed this issue by examining how forgiveness, stress, and mental and physical health symptoms change and relate to one another over 5 weeks. We hypothesized that increases in state levels of forgiveness would be associated with decreases in perceptions of stress, which would in turn be related to decreases in mental and physical health symptoms. A reverse effects model was also tested. We recruited a large, community-based sample of 332 young, middle-aged, and older adults (16-79 years old; M age  = 27.9). Each week for 5 weeks, participants reported on their levels of state forgiveness, perceived stress, and mental and physical health symptoms. Levels of forgiveness, stress, and mental and physical health symptoms each showed significant change and individual variability in change over time. As hypothesized, increases in forgiveness were associated with decreases in stress, which were in turn related to decreases in mental (but not physical) health symptoms (i.e., forgiveness → stress → health). The reverse effects model (i.e., health → stress → forgiveness) provided a relatively poorer fit. This study is the first to provide prospective, longitudinal evidence showing that greater forgiveness is associated with less stress and, in turn, better mental health. Strategies for cultivating forgiveness may thus have beneficial effects on stress and health.

Using concept maps to describe undergraduate students’ mental model in microbiology course

NASA Astrophysics Data System (ADS)

Hamdiyati, Y.; Sudargo, F.; Redjeki, S.; Fitriani, A.

2018-05-01

The purpose of this research was to describe students’ mental model in a mental model based-microbiology course using concept map as assessment tool. Respondents were 5th semester of undergraduate students of Biology Education of Universitas Pendidikan Indonesia. The mental modelling instrument used was concept maps. Data were taken on Bacteria sub subject. A concept map rubric was subsequently developed with a maximum score of 4. Quantitative data was converted into a qualitative one to determine mental model level, namely: emergent = score 1, transitional = score 2, close to extended = score 3, and extended = score 4. The results showed that mental model level on bacteria sub subject before the implementation of mental model based-microbiology course was at the transitional level. After implementation of mental model based-microbiology course, mental model was at transitional level, close to extended, and extended. This indicated an increase in the level of students’ mental model after the implementation of mental model based-microbiology course using concept map as assessment tool.

Automatic Conversational Scene Analysis in Children with Asperger Syndrome/High-Functioning Autism and Typically Developing Peers

PubMed Central

Tavano, Alessandro; Pesarin, Anna; Murino, Vittorio; Cristani, Marco

2014-01-01

Individuals with Asperger syndrome/High Functioning Autism fail to spontaneously attribute mental states to the self and others, a life-long phenotypic characteristic known as mindblindness. We hypothesized that mindblindness would affect the dynamics of conversational interaction. Using generative models, in particular Gaussian mixture models and observed influence models, conversations were coded as interacting Markov processes, operating on novel speech/silence patterns, termed Steady Conversational Periods (SCPs). SCPs assume that whenever an agent's process changes state (e.g., from silence to speech), it causes a general transition of the entire conversational process, forcing inter-actant synchronization. SCPs fed into observed influence models, which captured the conversational dynamics of children and adolescents with Asperger syndrome/High Functioning Autism, and age-matched typically developing participants. Analyzing the parameters of the models by means of discriminative classifiers, the dialogs of patients were successfully distinguished from those of control participants. We conclude that meaning-free speech/silence sequences, reflecting inter-actant synchronization, at least partially encode typical and atypical conversational dynamics. This suggests a direct influence of theory of mind abilities onto basic speech initiative behavior. PMID:24489674

Leadership Development for the Mental Health Professional of Tomorrow: A Proposed Model for Training Graduate Students in Psychology to become Effective and Competent Leaders in the 21st Century

ERIC Educational Resources Information Center

Cassens, Andrew

2008-01-01

Leadership development continues to be a significant topic of exploration and direct application within many sectors of the academic and professional sectors, but unfortunately, not within the field of psychology. To date, there are no APA sponsored divisions or journals dedicated to this dynamic and increasingly important subject area. The…

Towards Dynamic and Interdisciplinary Frameworks for School-Based Mental Health Promotion

ERIC Educational Resources Information Center

O'Toole, Catriona

2017-01-01

Purpose: The purpose of this paper is to scrutinise two ostensibly disparate approaches to school-based mental health promotion and offer a conceptual foundation for considering possible synergies between them. Design/methodology/approach: The paper examines current conceptualisations of child and youth mental health and explores how these inform…

Child mental-health policy development in sub-Saharan Africa: broadening the perspectives using Bronfenbrenner's ecological model.

PubMed

Atilola, Olayinka

2017-04-01

Despite socio-economic, demographic and epidemiological facts and realities that point to a potential risk for explosion in the prevalence of childhood mental health problems in sub-Saharan Africa, there is still a severe dearth of child and adolescent mental health (CAMH) policy or strategy to respond to the situation in the region. Unfortunately, current attempts at suggesting courses of action in this regard appear to be focused on narrow reactionary approaches. There is a need for theoretical frameworks to capture the full ramification of childhood in sub-Saharan Africa, from which multi-level, context-appropriate and holistic CAMH policy directions can be understood. In this commentary, we propose an amended version of the Bronfenbrenner's ecological model of childhood as such framework that captures proximal, intermediate and distal factors that influence the care environment of children. We then used the insights provided by the model to identify and prioritize intervention points and appropriate intervention strategies in charting a tentative course for CAMH policy development in the region. Though the ecological model provides a distinct perspective to the structure and dynamics of the care environment of children, the proposed framework using the model is still largely theoretical and need to be further integrated into future studies on CAMH policy development in the region. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Mental Health Following Acquisition of Disability in Adulthood--The Impact of Wealth.

PubMed

Kavanagh, Anne Marie; Aitken, Zoe; Krnjacki, Lauren; LaMontagne, Anthony Daniel; Bentley, Rebecca; Milner, Allison

2015-01-01

Acquisition of a disability in adulthood has been associated with a reduction in mental health. We tested the hypothesis that low wealth prior to disability acquisition is associated with a greater deterioration in mental health than for people with high wealth. We assess whether level of wealth prior to disability acquisition modifies this association using 12 waves of data (2001-2012) from the Household, Income and Labour Dynamics in Australia survey--a population-based cohort study of working-age Australians. Eligible participants reported at least two consecutive waves of disability preceded by at least two consecutive waves without disability (1977 participants, 13,518 observations). Fixed-effects linear regression was conducted with a product term between wealth prior to disability (in tertiles) and disability acquisition with the mental health component score of the SF-36 as the outcome. In models adjusted for time-varying confounders, there was evidence of negative effect measure modification by prior wealth of the association between disability acquisition and mental health (interaction term for lowest wealth tertile: -2.2 points, 95% CI -3.1 points, -1.2, p<0.001); low wealth was associated with a greater decline in mental health following disability acquisition (-3.3 points, 95% CI -4.0, -2.5) than high wealth (-1.1 points, 95% CI -1.7, -0.5). The findings suggest that low wealth prior to disability acquisition in adulthood results in a greater deterioration in mental health than among those with high wealth.

Mental Health Following Acquisition of Disability in Adulthood—The Impact of Wealth

PubMed Central

Kavanagh, Anne Marie; Aitken, Zoe; Krnjacki, Lauren; LaMontagne, Anthony Daniel; Bentley, Rebecca; Milner, Allison

2015-01-01

Background Acquisition of a disability in adulthood has been associated with a reduction in mental health. We tested the hypothesis that low wealth prior to disability acquisition is associated with a greater deterioration in mental health than for people with high wealth. Methods We assess whether level of wealth prior to disability acquisition modifies this association using 12 waves of data (2001–2012) from the Household, Income and Labour Dynamics in Australia survey–a population-based cohort study of working-age Australians. Eligible participants reported at least two consecutive waves of disability preceded by at least two consecutive waves without disability (1977 participants, 13,518 observations). Fixed-effects linear regression was conducted with a product term between wealth prior to disability (in tertiles) and disability acquisition with the mental health component score of the SF–36 as the outcome. Results In models adjusted for time-varying confounders, there was evidence of negative effect measure modification by prior wealth of the association between disability acquisition and mental health (interaction term for lowest wealth tertile: -2.2 points, 95% CI -3.1 points, -1.2, p<0.001); low wealth was associated with a greater decline in mental health following disability acquisition (-3.3 points, 95% CI -4.0, -2.5) than high wealth (-1.1 points, 95% CI -1.7, -0.5). Conclusion The findings suggest that low wealth prior to disability acquisition in adulthood results in a greater deterioration in mental health than among those with high wealth. PMID:26444990

Poverty dynamics and parental mental health: Determinants of childhood mental health in the UK

PubMed Central

Fitzsimons, Emla; Goodman, Alissa; Kelly, Elaine; Smith, James P

2017-01-01

Using data from the British Millennium Cohort Study (MCS), an ongoing longitudinal study of a cohort of 18,827 children born in the UK in 2000–2001, we investigate important correlates of mental health issues during childhood. MCS respondents were sampled at birth, at age 9 months, and then when they were 3, 5, 7 and 11 years old. Each sweep contains detailed information on the family’s SES, parenting activities, developmental indicators, parental relationship status, and indicators of parental mental health. The Strengths and Difficulties Questionnaire (SDQ) and the related Rutter scale were used to identify behavioral and emotional problems in children. In this paper, childhood problems are separated into four domains: hyperactivity, emotional symptoms, conduct problems, and peer problems. We focus on two aspects of this relationship at ages 5 and 11 – the role of temporary and persistent poverty and the role of temporary and persistent mental health problems of mothers and fathers. At ages 11 and 5, without other controls in the model, persistent and transitory poverty have strong estimated associations with all four domains, with somewhat stronger estimated effects for persistent poverty. After a set of controls are added, we document that both persistent levels of poverty and transitions into poverty are strongly associated with levels of and transitions into childhood mental health problems. Similarly, sustained levels and transitions into mothers’ mental health problems are strongly associated with levels and transitions into children’s mental health problems. This is much less so for fathers. PMID:28056382

Cognitive and affective components of mental workload: Understanding the effects of each on human decision making behavior

NASA Technical Reports Server (NTRS)

Nygren, Thomas E.

1992-01-01

Human factors and ergonomics researchers have recognized for some time the increasing importance of understanding the role of the construct of mental workload in flight research. Current models of mental workload suggest that it is a multidimensional and complex construct, but one that has proved difficult to measure. Because of this difficulty, emphasis has usually been placed on using direct reports through subjective measures such as rating scales to assess levels of mental workload. The NASA Task Load Index (NASA/TLX, Hart and Staveland) has been shown to be a highly reliable and sensitive measure of perceived mental workload. But a problem with measures like TLX is that there is still considerable disagreement as to what it is about mental workload that these subjective measures are actually measuring. The empirical use of subjective workload measures has largely been to provide estimates of the cognitive components of the actual mental workload required for a task. However, my research suggests that these measures may, in fact have greater potential in accurately assessing the affective components of workload. That is, for example, TLX may be more likely to assess the positive and negative feelings associated with varying workload levels, which in turn may potentially influence the decision making behavior that directly bears on performance and safety issues. Pilots, for example, are often called upon to complete many complex tasks that are high in mental workload, stress, and frustration, and that have significant dynamic decision making components -- often ones that involve risk as well.

Poverty dynamics and parental mental health: Determinants of childhood mental health in the UK.

PubMed

Fitzsimons, Emla; Goodman, Alissa; Kelly, Elaine; Smith, James P

2017-02-01

Using data from the British Millennium Cohort Study (MCS), an ongoing longitudinal study of a cohort of 18,827 children born in the UK in 2000-2001, we investigate important correlates of mental health issues during childhood. MCS respondents were sampled at birth, at age 9 months, and then when they were 3, 5, 7 and 11 years old. Each sweep contains detailed information on the family's SES, parenting activities, developmental indicators, parental relationship status, and indicators of parental mental health. The Strengths and Difficulties Questionnaire (SDQ) and the related Rutter scale were used to identify behavioral and emotional problems in children. In this paper, childhood problems are separated into four domains: hyperactivity, emotional symptoms, conduct problems, and peer problems. We focus on two aspects of this relationship at ages 5 and 11-the role of temporary and persistent poverty and the role of temporary and persistent mental health problems of mothers and fathers. At ages 11 and 5, without other controls in the model, persistent and transitory poverty have strong estimated associations with all four domains, with somewhat stronger estimated effects for persistent poverty. After a set of controls are added, we document that both persistent levels of poverty and transitions into poverty are strongly associated with levels of and transitions into childhood mental health problems. Similarly, sustained levels and transitions into mothers' mental health problems are strongly associated with levels and transitions into children's mental health problems. This is much less so for fathers. Copyright © 2016 Elsevier Ltd. All rights reserved.

The mental health consumer movement and peer providers in Israel.

PubMed

Moran, G S

2018-04-16

Self-help peer-support groups in Israel emerged in the 1980s and, over time, dynamically interacted and co-developed with the statutory mental health (MH) system. In this editorial, I outline historical milestones of how the evolution of the Israeli mental health system was influenced by the consumer movement. A brief depiction of the consumer movement history. At first, consumers operated outside of the mainstream MH system. Gradually, consumer groups and institutional personnel joined efforts towards community integration and enhancement of quality of life, pushing forward a person-centered recovery orientation. In turn, some administrators and key stakeholders in rehabilitation community services grew to value the impact of knowledge-by-experience in contemporary mental health care. In this context, over the past decade, peer roles were developed in the mental health system, including consumer-providers in community services and peer specialists in inpatient psychiatric hospitals. The insertion of peer roles into the mainstream MH system is far-reaching, including the placement of a peer-project coordinator within the ministry of health. I describe the unique contribution of peers, as experts-by-experience, to mainstream professional knowledge and practice. I also highlight the potential challenges involved when peer models of care are added to traditional medical models of care. The Israeli case demonstrates how the consumer movement can play an active role in MH systems and be acknowledged and recognised as a partner for changing policy, practice and reshaping formal institutions. In addition, they play a vital role in the development of peer-support services.

Does social support modify the effect of disability acquisition on mental health? A longitudinal study of Australian adults.

PubMed

Aitken, Zoe; Krnjacki, Lauren; Kavanagh, Anne Marie; LaMontagne, Anthony Daniel; Milner, Allison

2017-10-01

Disability acquisition in adulthood is associated with deterioration in mental health. Social support may act as a "buffer" against poor mental health following disability acquisition. We tested the hypothesis that women and men with low social support experienced larger declines in mental health on acquisition of a disability compared to women and men with high social support. We assessed whether social support, measured both prior and subsequent to disability acquisition, modified the association between disability acquisition and mental health using 14 annual waves of data from the Household, Income and Labour Dynamics in Australia Survey. Participants reported at least two consecutive waves of disability preceded by at least two consecutive waves without disability (2200 participants, 15,724 observations). Fixed-effects linear regression models were used to estimate average differences in mental health between waves with and without disability, for women and men separately. We tested for effect measure modification of the association by social support, including a three-way interaction between disability and social support prior and subsequent to disability acquisition. Though the effects of disability acquisition on mental health were much larger for women, for both women and men there was a consistent pattern of association with social support. There was evidence that social support modified the association between disability acquisition and mental health, with the largest effects for those experiencing a change from high to low social support subsequent to disability and for people with consistently low social support. These findings highlight the importance of developing new policy and practice strategies to improve the mental health of people with disabilities, including interventions to promote social support at the time of disability acquisition.

Complementary development of prevention and mental health promotion programs for Canadian children based on contemporary scientific paradigms.

PubMed

Breton, J J

1999-04-01

Confusion regarding definitions and standards of prevention and promotion programs is pervasive, as revealed by a review of such programs in Canada. This paper examines how a discussion of scientific paradigms can help clarify models of prevention and mental health promotion and proposes the complementary development of prevention and promotion programs. A paradigm shift in science contributed to the emergence of the transactional model, advocating multiple causes and dynamic transactions between the individual and the environment. Consequently, the view of prevention applying over a linear continuum and of single stressful events causing mental disorders may no longer be appropriate. It is the author's belief that the new science of chaos theory, which addresses processes involved in the development of systems, can be applied to child development and thus to the heart of prevention and promotion programs. Critical moments followed by transitions or near-chaotic behaviours lead to stable states better adapted to the environment. Prevention programs would focus on the critical moments and target groups at risk to reduce risk factors. Promotion programs would focus on stable states and target the general population to develop age-appropriate life skills. The concept of sensitive dependence on initial conditions and certain empirical studies suggest that the programs would have the greatest impact at the beginning of life. It is hoped that this effort to organize knowledge about conceptual models of prevention and mental health promotion programs will foster the development of these programs to meet the urgent needs of Canadian children.

Mental states as macrostates emerging from brain electrical dynamics

NASA Astrophysics Data System (ADS)

Allefeld, Carsten; Atmanspacher, Harald; Wackermann, Jiří

2009-03-01

Psychophysiological correlations form the basis for different medical and scientific disciplines, but the nature of this relation has not yet been fully understood. One conceptual option is to understand the mental as "emerging" from neural processes in the specific sense that psychology and physiology provide two different descriptions of the same system. Stating these descriptions in terms of coarser- and finer-grained system states (macro- and microstates), the two descriptions may be equally adequate if the coarse-graining preserves the possibility to obtain a dynamical rule for the system. To test the empirical viability of our approach, we describe an algorithm to obtain a specific form of such a coarse-graining from data, and illustrate its operation using a simulated dynamical system. We then apply the method to an electroencephalographic recording, where we are able to identify macrostates from the physiological data that correspond to mental states of the subject.

A visual metaphor describing neural dynamics in schizophrenia.

PubMed

van Beveren, Nico J M; de Haan, Lieuwe

2008-07-09

In many scientific disciplines the use of a metaphor as an heuristic aid is not uncommon. A well known example in somatic medicine is the 'defense army metaphor' used to characterize the immune system. In fact, probably a large part of the everyday work of doctors consists of 'translating' scientific and clinical information (i.e. causes of disease, percentage of success versus risk of side-effects) into information tailored to the needs and capacities of the individual patient. The ability to do so in an effective way is at least partly what makes a clinician a good communicator. Schizophrenia is a severe psychiatric disorder which affects approximately 1% of the population. Over the last two decades a large amount of molecular-biological, imaging and genetic data have been accumulated regarding the biological underpinnings of schizophrenia. However, it remains difficult to understand how the characteristic symptoms of schizophrenia such as hallucinations and delusions are related to disturbances on the molecular-biological level. In general, psychiatry seems to lack a conceptual framework with sufficient explanatory power to link the mental- and molecular-biological domains. Here, we present an essay-like study in which we propose to use visualized concepts stemming from the theory on dynamical complex systems as a 'visual metaphor' to bridge the mental- and molecular-biological domains in schizophrenia. We first describe a computer model of neural information processing; we show how the information processing in this model can be visualized, using concepts from the theory on complex systems. We then describe two computer models which have been used to investigate the primary theory on schizophrenia, the neurodevelopmental model, and show how disturbed information processing in these two computer models can be presented in terms of the visual metaphor previously described. Finally, we describe the effects of dopamine neuromodulation, of which disturbances have been frequently described in schizophrenia, in terms of the same visualized metaphor. The conceptual framework and metaphor described offers a heuristic tool to understand the relationship between the mental- and molecular-biological domains in an intuitive way. The concepts we present may serve to facilitate communication between researchers, clinicians and patients.

Counseling the Client on Wheels: A Primer for Mental Health Counselors New to Spinal Cord Injury.

ERIC Educational Resources Information Center

Hayes, Richard L.; And Others

1995-01-01

As people with disabilities gain greater access to the broader community, mental health counselors will be called on to differentiate between related and marginally related services. Using the example of spinal cord injury (SCI), dynamics of loss are discussed, illustrating how mental health counselors might work with clients with disabilities.…

Contested understandings of recovery in mental health.

PubMed

McCabe, Rhiannah; Whittington, Richard; Cramond, Laura; Perkins, Elizabeth

2018-05-17

The concept of recovery is contested throughout the existing literature and in mental health services. Little research exists that gives voice to service user perspectives of recovery. This paper explores how service users in two recovery oriented services run by the National Health Service in North West England talked about recovery and what it meant to them. 14 service users accessing these services took part in semi-structured qualitative interviews focusing on the concept of recovery. Data were analysed using an interpretive phenomenological analysis approach. Service users talked about recovery as a dynamic, day to day process as well as an outcome; specifically related to being discharged from inpatient settings. A number of factors including relationships and medication were cited to have the potential to make or break recovery. The study highlights the continued dominance of the biomedical model in mental health services. Service users appear to have internalised staff and services' understanding of recovery perhaps unsurprisingly given the power differential in these relationships. Implications for clinical practice are explored.

A decision-support tool to inform Australian strategies for preventing suicide and suicidal behaviour.

PubMed

Page, Andrew; Atkinson, Jo-An; Heffernan, Mark; McDonnell, Geoff; Hickie, Ian

2017-04-27

Dynamic simulation modelling is increasingly being recognised as a valuable decision-support tool to help guide investments and actions to address complex public health issues such as suicide. In particular, participatory system dynamics (SD) modelling provides a useful tool for asking high-level 'what if' questions, and testing the likely impacts of different combinations of policies and interventions at an aggregate level before they are implemented in the real world. We developed an SD model for suicide prevention in Australia, and investigated the hypothesised impacts over the next 10 years (2015-2025) of a combination of current intervention strategies proposed for population interventions in Australia: 1) general practitioner (GP) training, 2) coordinated aftercare in those who have attempted suicide, 3) school-based mental health literacy programs, 4) brief-contact interventions in hospital settings, and 5) psychosocial treatment approaches. Findings suggest that the largest reductions in suicide were associated with GP training (6%) and coordinated aftercare approaches (4%), with total reductions of 12% for all interventions combined. This paper highlights the value of dynamic modelling methods for managing complexity and uncertainty, and demonstrates their potential use as a decision-support tool for policy makers and program planners for community suicide prevention actions.

Walking a fine line: managing the tensions associated with medication non-adherence in an acute inpatient psychiatric setting.

PubMed

Wijnveld, Anne-Marie; Crowe, Marie

2010-05-01

The aim of this study was to use a phenomenological methodology to examine mental health nurses' experiences of administering medications to patients who were non-adherent in an acute inpatient service. There is a large body of literature focused on exploring the issue of non-adherence to prescribed medication, but there is very little examining this from mental health nurses' perspectives. Many of the medications prescribed for patients diagnosed with a psychiatric disorder have serious side effects and limited efficacy. Mental health nurses in acute inpatient environments are regularly confronted with the difficulties inherent in the conflicting roles associated with the need to maintain therapeutic relationships and the expectation that they ensure patients take their medications. This is a qualitative study exploring mental health nurses' descriptions of managing medication adherence in an acute inpatient unit. The interpretive phenomenological methodology of Van Manen (Researching Lived Experience: Human Science for an Action Sensitive Pedagogy, 1990) was used in this study to capture the experiences of a group of nurses. This research process involves a dynamic interplay between the following six research activities: (1) turning to the nature of the lived experience; (2) investigating the experience as we live it; (3) reflecting on essential themes; (4) a description of the phenomenon through the art of writing and rewriting; (5) maintaining a strong and oriented pedagogical relation to the phenomenon; and (6) balancing the research context by considering parts and whole. Four themes emerged from the existential analysis that described the mental health nurses' experiences: doing the job for doctors (relationality); stopping and listening (temporality); stepping in (corporeality); and walking a fine line (spatiality). It is proposed that models of therapeutic interventions offering alternative or conjunctive treatment to medications could be incorporated into acute inpatient care and provide an enhanced therapeutic model. Nurses in many areas struggle to manage the tensions between a medical model and a nursing model of care. This study describes how one group of nurses manage these tensions and suggests a more patient-centred model of care.

An investigation of the mentalization-based model of borderline pathology in adolescents.

PubMed

Quek, Jeremy; Bennett, Clair; Melvin, Glenn A; Saeedi, Naysun; Gordon, Michael S; Newman, Louise K

2018-07-01

According to mentalization-based theory, transgenerational transmission of mentalization from caregiver to offspring is implicated in the pathogenesis of borderline personality disorder (BPD). Recent research has demonstrated an association between hypermentalizing (excessive, inaccurate mental state reasoning) and BPD, indicating the particular relevance of this form of mentalizing dysfunction to the transgenerational mentalization-based model. As yet, no study has empirically assessed a transgenerational mentalization-based model of BPD. The current study sought firstly to test the mentalization-based model, and additionally, to determine the form of mentalizing dysfunction in caregivers (e.g., hypo- or hypermentalizing) most relevant to a hypermentalizing model of BPD. Participants were a mixed sample of adolescents with BPD and a sample of non-clinical adolescents, and their respective primary caregivers (n = 102; 51 dyads). Using an ecologically valid measure of mentalization, mediational analyses were conducted to examine the relationships between caregiver mentalizing, adolescent mentalizing, and adolescent borderline features. Findings demonstrated that adolescent mentalization mediated the effect of caregiver mentalization on adolescent borderline personality pathology. Furthermore, results indicated that hypomentalizing in caregivers was related to adolescent borderline personality pathology via an effect on adolescent hypermentalizing. Results provide empirical support for the mentalization-based model of BPD, and suggest the indirect influence of caregiver mentalization on adolescent borderline psychopathology. Results further indicate the relevance of caregiver hypomentalizing to a hypermentalizing model of BPD. Copyright © 2018 Elsevier Inc. All rights reserved.

The multistream self: biophysical, mental, social, and existential.

PubMed

Deshmukh, Vinod D

2008-03-25

Self is difficult to define because of its multiple, constitutive streams of functional existence. A more comprehensive and expanded definition of self is proposed. The standard bio-psycho-social model of psyche is expanded to biophysical-mental-social and existential self. The total human experience is better understood and explained by adding the existential component. Existential refers to lived human experience, which is firmly rooted in reality. Existential living is the capacity to live fully in the present, and respond freely and flexibly to new experience without fear. Four common fears of isolation, insecurity, insignificance, and death can be overcome by developing a lifestyle of whole-hearted engagement in the present reality, creative problem solving, self-actualization, and altruism. Such integrative living creates a sense of presence with self-awareness, understanding, and existential well-being. Well-being is defined as a life of happiness, contentment, low distress, and good health with positive outlook. Self is a complex, integrative process of living organisms. It organizes, coordinates, and integrates energy-information within and around itself, spontaneously, unconsciously, and consciously. Self-process is understood in terms of synergetics, coordination dynamics, and energy-information-directed self-organization. It is dynamic, composite, ever renewing, and enduring. It can be convergent or divergent, and can function as the source or target of its own behavior-mentation. The experience of self is continuously generated by spontaneous activation of neural networks in the cerebral neocortex by the brainstem-diencephalic arousal system. The multiple constitutive behavioral-mental streams develop concurrently into a unique experience of self, specific for a person at his/her developmental stage. The chronological neuro-behavioral-mental development of self is described in detail from embryonic stage to old age. Self can be behaviorally-mentally oriented and realized in three complimentary modes of being: egocentric, allocentric, and ecosystemic or existential. The existential mode is both immanent and transcendent, and can be self-actualized, resulting in a healthy, creative, conflict-free, and meaningful life.

Diagnosing Students' Mental Models via the Web-Based Mental Models Diagnosis System

ERIC Educational Resources Information Center

Wang, Tzu-Hua; Chiu, Mei-Hung; Lin, Jing-Wen; Chou, Chin-Cheng

2013-01-01

Mental models play an important role in science education research. To extend the effectiveness of conceptual change research and to improve mental model identi?cation and diagnosis, the authors developed and tested the Web-Based Mental Models Diagnosis (WMMD) system. In this article, they describe their WMMD system, which goes beyond the…

Spatial cognition and science achievement: The contribution of intrinsic and extrinsic spatial skills from 7 to 11 years.

PubMed

Hodgkiss, Alex; Gilligan, Katie A; Tolmie, Andrew K; Thomas, Michael S C; Farran, Emily K

2018-01-22

Prior longitudinal and correlational research with adults and adolescents indicates that spatial ability is a predictor of science learning and achievement. However, there is little research to date with primary-school aged children that addresses this relationship. Understanding this association has the potential to inform curriculum design and support the development of early interventions. This study examined the relationship between primary-school children's spatial skills and their science achievement. Children aged 7-11 years (N = 123) completed a battery of five spatial tasks, based on a model of spatial ability in which skills fall along two dimensions: intrinsic-extrinsic; static-dynamic. Participants also completed a curriculum-based science assessment. Controlling for verbal ability and age, mental folding (intrinsic-dynamic spatial ability), and spatial scaling (extrinsic-static spatial ability) each emerged as unique predictors of overall science scores, with mental folding a stronger predictor than spatial scaling. These spatial skills combined accounted for 8% of the variance in science scores. When considered by scientific discipline, mental folding uniquely predicted both physics and biology scores, and spatial scaling accounted for additional variance in biology and variance in chemistry scores. The children's embedded figures task (intrinsic-static spatial ability) only accounted for variance in chemistry scores. The patterns of association were consistent across the age range. Spatial skills, particularly mental folding, spatial scaling, and disembedding, are predictive of 7- to 11-year-olds' science achievement. These skills make a similar contribution to performance for each age group. © 2018 The Authors. British Journal of Education Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.

Astrocytic Contributions to Synaptic and Learning Abnormalities in a Mouse Model of Fragile X Syndrome.

PubMed

Hodges, Jennifer L; Yu, Xinzhu; Gilmore, Anthony; Bennett, Hannah; Tjia, Michelle; Perna, James F; Chen, Chia-Chien; Li, Xiang; Lu, Ju; Zuo, Yi

2017-07-15

Fragile X syndrome (FXS) is the most common type of mental retardation attributable to a single-gene mutation. It is caused by FMR1 gene silencing and the consequent loss of its protein product, fragile X mental retardation protein. Fmr1 global knockout (KO) mice recapitulate many behavioral and synaptic phenotypes associated with FXS. Abundant evidence suggests that astrocytes are important contributors to neurological diseases. This study investigates astrocytic contributions to the progression of synaptic abnormalities and learning impairments associated with FXS. Taking advantage of the Cre-lox system, we generated and characterized mice in which fragile X mental retardation protein is selectively deleted or exclusively expressed in astrocytes. We performed in vivo two-photon imaging to track spine dynamics/morphology along dendrites of neurons in the motor cortex and examined associated behavioral defects. We found that adult astrocyte-specific Fmr1 KO mice displayed increased spine density in the motor cortex and impaired motor-skill learning. The learning defect coincided with a lack of enhanced spine dynamics in the motor cortex that normally occurs in response to motor skill acquisition. Although spine density was normal at 1 month of age in astrocyte-specific Fmr1 KO mice, new spines formed at an elevated rate. Furthermore, fragile X mental retardation protein expression in only astrocytes was insufficient to rescue most spine or behavioral defects. Our work suggests a joint astrocytic-neuronal contribution to FXS pathogenesis and reveals that heightened spine formation during adolescence precedes the overabundance of spines and behavioral defects found in adult Fmr1 KO mice. Copyright © 2016 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Retrocausation in quantum mechanics and the effects of minds on the creation of physical reality

NASA Astrophysics Data System (ADS)

Stapp, Henry P.

2017-05-01

The classical physical theories that prevailed in science from the time of Isaac Newton until the dawn of the twentieth century were empirically based on human experience and made predictions about our mental experiences, yet excluded from the dynamics all mental properties. But how can one rationally get mental things out if no mental elements are put in? The key step in the creation of quantum mechanics during 1925 by Heisenberg and his colleagues was to recognize and emphasize the essential dynamical role of mental properties in the creation of our mental empirical findings. This basic feature of quantum mechanics was cast into rigorous mathematical form by John von Neumann, and was made a central feature of contemporary relativistic quantum field theory by the work of Tomonaga and Schwinger. That theory is causally strictly forward in time. But it is explained here how it can nevertheless accommodate the seeming backward-in-time causal effects reported by D.J. Bem, and many others, by means of a slight biasing of the famous Born Rule. The purpose of this communication is to explain how those reported retrocausal findings can be explained by a strictly forward-in-time and nearly orthodox causal dynamics that, however, permits the Born Rule to be slightly biased under certain conditions. A feasible experiment is proposed that, if it gives the outcomes predicted by the proposed theory, will provide evidence in favor of this causally forward-in-time and nearly orthodox explanation of the reported retrocausal effects.

Neural Mechanisms for Adaptive Learned Avoidance of Mental Effort.

PubMed

Mitsuto Nagase, Asako; Onoda, Keiichi; Clifford Foo, Jerome; Haji, Tomoki; Akaishi, Rei; Yamaguchi, Shuhei; Sakai, Katsuyuki; Morita, Kenji

2018-02-05

Humans tend to avoid mental effort. Previous studies have demonstrated this tendency using various demand-selection tasks; participants generally avoid options associated with higher cognitive demand. However, it remains unclear whether humans avoid mental effort adaptively in uncertain and non-stationary environments, and if so, what neural mechanisms underlie this learned avoidance and whether they remain the same irrespective of cognitive-demand types. We addressed these issues by developing novel demand-selection tasks where associations between choice options and cognitive-demand levels change over time, with two variations using mental arithmetic and spatial reasoning problems (29:4 and 18:2 males:females). Most participants showed avoidance, and their choices depended on the demand experienced on multiple preceding trials. We assumed that participants updated the expected cost of mental effort through experience, and fitted their choices by reinforcement learning models, comparing several possibilities. Model-based fMRI analyses revealed that activity in the dorsomedial and lateral frontal cortices was positively correlated with the trial-by-trial expected cost for the chosen option commonly across the different types of cognitive demand, and also revealed a trend of negative correlation in the ventromedial prefrontal cortex. We further identified correlates of cost-prediction-error at time of problem-presentation or answering the problem, the latter of which partially overlapped with or were proximal to the correlates of expected cost at time of choice-cue in the dorsomedial frontal cortex. These results suggest that humans adaptively learn to avoid mental effort, having neural mechanisms to represent expected cost and cost-prediction-error, and the same mechanisms operate for various types of cognitive demand. SIGNIFICANCE STATEMENT In daily life, humans encounter various cognitive demands, and tend to avoid high-demand options. However, it remains unclear whether humans avoid mental effort adaptively under dynamically changing environments, and if so, what are the underlying neural mechanisms and whether they operate irrespective of cognitive-demand types. To address these issues, we developed novel tasks, where participants could learn to avoid high-demand options under uncertain and non-stationary environments. Through model-based fMRI analyses, we found regions whose activity was correlated with the expected mental effort cost, or cost-prediction-error, regardless of demand-type, with overlap or adjacence in the dorsomedial frontal cortex. This finding contributes to clarifying the mechanisms for cognitive-demand avoidance, and provides empirical building blocks for the emerging computational theory of mental effort. Copyright © 2018 the authors.

A Markov chain model for studying suicide dynamics: an illustration of the Rose theorem

PubMed Central

2014-01-01

Background High-risk strategies would only have a modest effect on suicide prevention within a population. It is best to incorporate both high-risk and population-based strategies to prevent suicide. This study aims to compare the effectiveness of suicide prevention between high-risk and population-based strategies. Methods A Markov chain illness and death model is proposed to determine suicide dynamic in a population and examine its effectiveness for reducing the number of suicides by modifying certain parameters of the model. Assuming a population with replacement, the suicide risk of the population was estimated by determining the final state of the Markov model. Results The model shows that targeting the whole population for suicide prevention is more effective than reducing risk in the high-risk tail of the distribution of psychological distress (i.e. the mentally ill). Conclusions The results of this model reinforce the essence of the Rose theorem that lowering the suicidal risk in the population at large may be more effective than reducing the high risk in a small population. PMID:24948330

OFFl Models: Novel Schema for Dynamical Modeling of Biological Systems

PubMed Central

2016-01-01

Flow diagrams are a common tool used to help build and interpret models of dynamical systems, often in biological contexts such as consumer-resource models and similar compartmental models. Typically, their usage is intuitive and informal. Here, we present a formalized version of flow diagrams as a kind of weighted directed graph which follow a strict grammar, which translate into a system of ordinary differential equations (ODEs) by a single unambiguous rule, and which have an equivalent representation as a relational database. (We abbreviate this schema of “ODEs and formalized flow diagrams” as OFFL.) Drawing a diagram within this strict grammar encourages a mental discipline on the part of the modeler in which all dynamical processes of a system are thought of as interactions between dynamical species that draw parcels from one or more source species and deposit them into target species according to a set of transformation rules. From these rules, the net rate of change for each species can be derived. The modeling schema can therefore be understood as both an epistemic and practical heuristic for modeling, serving both as an organizational framework for the model building process and as a mechanism for deriving ODEs. All steps of the schema beyond the initial scientific (intuitive, creative) abstraction of natural observations into model variables are algorithmic and easily carried out by a computer, thus enabling the future development of a dedicated software implementation. Such tools would empower the modeler to consider significantly more complex models than practical limitations might have otherwise proscribed, since the modeling framework itself manages that complexity on the modeler’s behalf. In this report, we describe the chief motivations for OFFL, carefully outline its implementation, and utilize a range of classic examples from ecology and epidemiology to showcase its features. PMID:27270918

Abortion, substance abuse and mental health in early adulthood: Thirteen-year longitudinal evidence from the United States

PubMed Central

Sullins, Donald Paul

2016-01-01

Objective: To examine the links between pregnancy outcomes (birth, abortion, or involuntary pregnancy loss) and mental health outcomes for US women during the transition into adulthood to determine the extent of increased risk, if any, associated with exposure to induced abortion. Method: Panel data on pregnancy history and mental health history for a nationally representative cohort of 8005 women at (average) ages 15, 22, and 28 years from the National Longitudinal Study of Adolescent to Adult Health were examined for risk of depression, anxiety, suicidal ideation, alcohol abuse, drug abuse, cannabis abuse, and nicotine dependence by pregnancy outcome (birth, abortion, and involuntary pregnancy loss). Risk ratios were estimated for time-dynamic outcomes from population-averaged longitudinal logistic and Poisson regression models. Results: After extensive adjustment for confounding, other pregnancy outcomes, and sociodemographic differences, abortion was consistently associated with increased risk of mental health disorder. Overall risk was elevated 45% (risk ratio, 1.45; 95% confidence interval, 1.30–1.62; p < 0.0001). Risk of mental health disorder with pregnancy loss was mixed, but also elevated 24% (risk ratio, 1.24; 95% confidence interval, 1.13–1.37; p < 0.0001) overall. Birth was weakly associated with reduced mental disorders. One-eleventh (8.7%; 95% confidence interval, 6.0–11.3) of the prevalence of mental disorders examined over the period were attributable to abortion. Conclusion: Evidence from the United States confirms previous findings from Norway and New Zealand that, unlike other pregnancy outcomes, abortion is consistently associated with a moderate increase in risk of mental health disorders during late adolescence and early adulthood. PMID:27781096

Sizing up the competition: quantifying the influence of the mental lexicon on auditory and visual spoken word recognition.

PubMed

Strand, Julia F; Sommers, Mitchell S

2011-09-01

Much research has explored how spoken word recognition is influenced by the architecture and dynamics of the mental lexicon (e.g., Luce and Pisoni, 1998; McClelland and Elman, 1986). A more recent question is whether the processes underlying word recognition are unique to the auditory domain, or whether visually perceived (lipread) speech may also be sensitive to the structure of the mental lexicon (Auer, 2002; Mattys, Bernstein, and Auer, 2002). The current research was designed to test the hypothesis that both aurally and visually perceived spoken words are isolated in the mental lexicon as a function of their modality-specific perceptual similarity to other words. Lexical competition (the extent to which perceptually similar words influence recognition of a stimulus word) was quantified using metrics that are well-established in the literature, as well as a statistical method for calculating perceptual confusability based on the phi-square statistic. Both auditory and visual spoken word recognition were influenced by modality-specific lexical competition as well as stimulus word frequency. These findings extend the scope of activation-competition models of spoken word recognition and reinforce the hypothesis (Auer, 2002; Mattys et al., 2002) that perceptual and cognitive properties underlying spoken word recognition are not specific to the auditory domain. In addition, the results support the use of the phi-square statistic as a better predictor of lexical competition than metrics currently used in models of spoken word recognition. © 2011 Acoustical Society of America

Mental workload in decision and control

NASA Technical Reports Server (NTRS)

Sheridan, T. B.

1979-01-01

This paper briefly reviews the problems of defining and measuring the 'mental workload' of aircraft pilots and other human operators of complex dynamic systems. Of the alternative approaches the author indicates a clear preference for the use of subjective scaling. Some recent experiments from MIT and elsewhere are described which utilize subjective mental workload scales in conjunction with human decision and control tasks in the laboratory. Finally a new three-dimensional mental workload rating scale, under current development for use by IFR aircraft pilots, is presented.

Community Mental Health Model for Campus Mental Health Services.

ERIC Educational Resources Information Center

Banning, James H.

University and college mental health services have historically modeled themselves after a traditional clinic model. Few delivery systems have been influenced by the community mental health model. The major reason for this lack of influence appears to be the "in loco parentis" stance of colleges and universities. A campus mental health service…

Dynamic information processing states revealed through neurocognitive models of object semantics

PubMed Central

Clarke, Alex

2015-01-01

Recognising objects relies on highly dynamic, interactive brain networks to process multiple aspects of object information. To fully understand how different forms of information about objects are represented and processed in the brain requires a neurocognitive account of visual object recognition that combines a detailed cognitive model of semantic knowledge with a neurobiological model of visual object processing. Here we ask how specific cognitive factors are instantiated in our mental processes and how they dynamically evolve over time. We suggest that coarse semantic information, based on generic shared semantic knowledge, is rapidly extracted from visual inputs and is sufficient to drive rapid category decisions. Subsequent recurrent neural activity between the anterior temporal lobe and posterior fusiform supports the formation of object-specific semantic representations – a conjunctive process primarily driven by the perirhinal cortex. These object-specific representations require the integration of shared and distinguishing object properties and support the unique recognition of objects. We conclude that a valuable way of understanding the cognitive activity of the brain is though testing the relationship between specific cognitive measures and dynamic neural activity. This kind of approach allows us to move towards uncovering the information processing states of the brain and how they evolve over time. PMID:25745632

Patients' mental models and adherence to outpatient physical therapy home exercise programs.

PubMed

Rizzo, Jon

2015-05-01

Within physical therapy, patient adherence usually relates to attending appointments, following advice, and/or undertaking prescribed exercise. Similar to findings for general medical adherence, patient adherence to physical therapy home exercise programs (HEP) is estimated between 35 and 72%. Adherence to HEPs is a multifactorial and poorly understood phenomenon, with no consensus regarding a common theoretical framework that best guides empirical or clinical efforts. Mental models, a construct used to explain behavior and decision-making in the social sciences, may serve as this framework. Mental models comprise an individual's tacit thoughts about how the world works. They include assumptions about new experiences and expectations for the future based on implicit comparisons between current and past experiences. Mental models play an important role in decision-making and guiding actions. This professional theoretical article discusses empirical research demonstrating relationships among mental models, prior experience, and adherence decisions in medical and physical therapy contexts. Specific issues related to mental models and physical therapy patient adherence are discussed, including the importance of articulation of patients' mental models, assessment of patients' mental models that relate to exercise program adherence, discrepancy between patient and provider mental models, and revision of patients' mental models in ways that enhance adherence. The article concludes with practical implications for physical therapists and recommendations for further research to better understand the role of mental models in physical therapy patient adherence behavior.

The juggling paradigm: a novel social neuroscience approach to identify neuropsychophysiological markers of team mental models.

PubMed

Filho, Edson; Bertollo, Maurizio; Robazza, Claudio; Comani, Silvia

2015-01-01

Since the discovery of the mirror neuron system in the 1980s, little, if any, research has been devoted to the study of interactive motor tasks (Goldman, 2012). Scientists interested in the neuropsychophysiological markers of joint motor action have relied on observation paradigms and passive tasks rather than dynamic paradigms and interactive tasks (Konvalinka and Roepstorff, 2012). Within this research scenario, we introduce a novel research paradigm that uses cooperative juggling as a platform to capture peripheral (e.g., skin conductance, breathing and heart rates, electromyographic signals) and central neuropsychophysiological (e.g., functional connectivity within and between brains) markers underlying the notion of team mental models (TMM). We discuss the epistemological and theoretical grounds of a cooperative juggling paradigm, and propose testable hypotheses on neuropsychophysiological markers underlying TMM. Furthermore, we present key methodological concerns that may influence peripheral responses as well as single and hyperbrain network configurations during joint motor action. Preliminary findings of the paradigm are highlighted. We conclude by delineating avenues for future research.

Forward progress of scientific inquiry into the early father-child relationship: introduction to the special issue on very young children and their fathers.

PubMed

Bocknek, Erika L; Hossain, Ziarat; Roggman, Lori

2014-01-01

Research on fathering and the father-child relationship has made substantial progress in the most recent 15 years since the last special issue of the Infant Mental Health Journal on fathers and young children. This special issue on fathers and young children contains a series of papers exemplifying this progress, including advances in methodology-more direct assessment and more observational measures-in addition to the increasing dynamic complexity of the conceptual models used to study fathers, the diversity of fathers studied, and the growth of programs to support early father involvement. In assessing the current state of the field, special attention is given to contributions made by the papers contained in this special issue, and two critical areas for continued progress are addressed: (1) methodological and measurement development that specifically address fathers and fathering relationships and (2) cross-cultural and ecologically valid research examining the diversity of models of fathering. © 2014 Michigan Association for Infant Mental Health.

The association of marital relationship and perceived social support with mental health of women in Pakistan

PubMed Central

2013-01-01

Background Marital circumstances have been indicated to be a salient risk factor for disproportionately high prevalence of depression and anxiety among Pakistani women. Although social support is a known buffer of psychological distress, there is no clear evidence as to how different aspects of marital relations interact and associate with depression and anxiety in the lives of Pakistani married women and the role of social supports in the context of their marriage. Methods Two hundred seventy seven married women were recruited from Rawalpindi district of Pakistan using a door knocking approach to psychometrically evaluate five scales for use in the Pakistani context. A confirmatory factor analysis approach was used to investigate the underlying factor structure of Couple satisfaction Index (CSI-4), Locke-Wallace Marital Adjustment Test (LWMAT), Relationship Dynamic Scale (RDS), Multidimensional Scale for Perceived Social Support (MSPSS) and the Hospital Anxiety and Depression Scale (HADS). The interplay of the constructs underlying the three aspects of marital relations, and the role of social support on the mental health of married Pakistani women were examined using the Structural Equation Model. Results The factor structures of MSPSS, CSI-4, LWMAT, RDS and HADS were similar to the findings reported in the developed and developing countries. Perceived higher social support reduces the likelihood of depression and anxiety by enhancing positive relationship as reflected by a low score on the relationship dynamics scale which decreases CMD symptoms. Moreover, perceived higher social support is positively associated with marital adjustment directly and indirectly through relationship dynamics which is associated with the reduced risk of depression through the increased level of reported marital satisfaction. Nuclear family structure, low level of education and higher socio-economic status were significantly associated with increased risk of mental illness among married women. Conclusion Findings of this study support the importance of considering elements of marital relationship: satisfaction, adjustment and negative interactions which can be prioritized to increase the efficiency of marital interventions. It also highlights the role of social support in the context of marital relationships among Pakistani women. Furthermore, the study presents the etiological models of depression and anxiety with reference to the above. PMID:25226599

The association of marital relationship and perceived social support with mental health of women in Pakistan.

PubMed

Qadir, Farah; Khalid, Amna; Haqqani, Sabahat; Zill-e-Huma; Medhin, Girmay

2013-12-09

Marital circumstances have been indicated to be a salient risk factor for disproportionately high prevalence of depression and anxiety among Pakistani women. Although social support is a known buffer of psychological distress, there is no clear evidence as to how different aspects of marital relations interact and associate with depression and anxiety in the lives of Pakistani married women and the role of social supports in the context of their marriage. Two hundred seventy seven married women were recruited from Rawalpindi district of Pakistan using a door knocking approach to psychometrically evaluate five scales for use in the Pakistani context. A confirmatory factor analysis approach was used to investigate the underlying factor structure of Couple satisfaction Index (CSI-4), Locke-Wallace Marital Adjustment Test (LWMAT), Relationship Dynamic Scale (RDS), Multidimensional Scale for Perceived Social Support (MSPSS) and the Hospital Anxiety and Depression Scale (HADS). The interplay of the constructs underlying the three aspects of marital relations, and the role of social support on the mental health of married Pakistani women were examined using the Structural Equation Model. The factor structures of MSPSS, CSI-4, LWMAT, RDS and HADS were similar to the findings reported in the developed and developing countries. Perceived higher social support reduces the likelihood of depression and anxiety by enhancing positive relationship as reflected by a low score on the relationship dynamics scale which decreases CMD symptoms. Moreover, perceived higher social support is positively associated with marital adjustment directly and indirectly through relationship dynamics which is associated with the reduced risk of depression through the increased level of reported marital satisfaction. Nuclear family structure, low level of education and higher socio-economic status were significantly associated with increased risk of mental illness among married women. Findings of this study support the importance of considering elements of marital relationship: satisfaction, adjustment and negative interactions which can be prioritized to increase the efficiency of marital interventions. It also highlights the role of social support in the context of marital relationships among Pakistani women. Furthermore, the study presents the etiological models of depression and anxiety with reference to the above.

Henri Ey's neojacksonism and the psychopathology of disintegrated mind.

PubMed

Farina, Benedetto; Ceccarelli, Maurizio; Di Giannantonio, Massimo

2005-01-01

The French psychiatrist Henri Ey developed his organo-dynamic theory of the mind function and consciousness 50 years ago incorporating Hughling Jackson's thinking, along with psychiatric and philosophical theorizations by Janet and Bergson. This model has not received the attention it deserved, but recent advances in neuroscience rekindled interest for Ey's theory. By overcoming the Cartesian mind-body dualism and treating the mind-body unit as an inseparable whole, this model opens the way for the integrated treatment of mental disorders. Ey's conceptualization of consciousness as being simultaneously both synchronous and diachronic anticipates current theories of consciousness (Damasio, Edelman, Mesulam).

Dynamic analysis of mental sweating of eccrine sweat gland of human fingertip by time-sequential piled-up en face optical coherence tomography images.

PubMed

Ohmi, Masato; Wada, Yuki

2016-08-01

In this paper, we demonstrate dynamic analysis of mental sweating for sound stimulus of a few tens of eccrine sweat glands by the time-sequential piled-up en face optical coherence tomography (OCT) images with the frame spacing of 3.3 sec. In the experiment, the amount of excess sweat can be evaluated simultaneously for a few tens of sweat glands by piling up of all the en face OCT images. Non-uniformity was observed in mental sweating where the amount of sweat in response to sound stimulus is different for each sweat gland. Furthermore, the amount of sweat is significantly increased in proportion to the strength of the stimulus.

Heterogeneity of Mental Health Service Utilization and High Mental Health Service Use Among Women Eight Years After Initiating Substance Use Disorder Treatment.

PubMed

Evans, Elizabeth; Padwa, Howard; Li, Libo; Lin, Veronique; Hser, Yih-Ing

2015-12-01

The aim of this study was to determine mental health service utilization patterns among women treated for substance use disorders (SUD) and identify factors associated with patterns of high mental health service use. Data were provided by 4447 women treated for SUD in California during 2000-2002 for whom mental health services utilization records were acquired. A latent class model was fitted to women's high use of services (>6 services/year over 8 years). Multinomial logistic regression was used to identify predisposing, enabling, and need factors associated with utilization patterns. In 8 years after initiating SUD treatment, 50% of women utilized mental health services. High use probability was consistently low for most women (76.9%); for others, however, it decreased immediately following SUD treatment and then increased over time (8.7%), increased immediately following SUD treatment and then decreased (9.3%), or remained consistently high (5.1%). Consistently high services use was negatively associated with marriage (OR 0.60, p<0.05) and employment (OR 0.53, p<0.05) and positively associated with older age (OR 1.04, p<0.001), homelessness (OR 1.68, p<0.05), public assistance (OR 1.76, p<0.01), outpatient SUD treatment (OR 3.69, p<0.01), longer SUD treatment retention (OR 1.00, p<0.01), treatment desire (ORs 1.46, p<0.001), and co-occurring disorder diagnosis (ORs 2.89-44.93, p<0.001). Up to 29% of women with co-occurring mental health disorders at SUD treatment entry did not receive any mental health treatment in the subsequent 8 years. Mental health services utilization patterns among women treated for SUD are heterogeneous and dynamic. Understanding factors related to women's utilization patterns may aid efforts to optimize care and ensure appropriate use of mental health services. Copyright © 2015 Elsevier Inc. All rights reserved.

The Role of Mental Models in Dynamic Decision-Making

DTIC Science & Technology

2009-03-01

Humansystems® Incorporated 111 Farquhar St., Guelph, ON N1H 3N4 Project Manager : Lisa A. Rehak PWGSC Contract No.: W7711-078110/001/TOR Call...simulate the processes that people use to manage complex systems. These analogies, moreover, represent one way to help people to form more accurate...make complex decisions. Control theory’s primary emphasis is on the role of feedback while managing a complex system. What is common to all of these

Unobtrusive Monitoring of Spaceflight Team Functioning

NASA Technical Reports Server (NTRS)

Maidel, Veronica; Stanton, Jeffrey M.

2010-01-01

This document contains a literature review suggesting that research on industrial performance monitoring has limited value in assessing, understanding, and predicting team functioning in the context of space flight missions. The review indicates that a more relevant area of research explores the effectiveness of teams and how team effectiveness may be predicted through the elicitation of individual and team mental models. Note that the mental models referred to in this literature typically reflect a shared operational understanding of a mission setting such as the cockpit controls and navigational indicators on a flight deck. In principle, however, mental models also exist pertaining to the status of interpersonal relations on a team, collective beliefs about leadership, success in coordination, and other aspects of team behavior and cognition. Pursuing this idea, the second part of this document provides an overview of available off-the-shelf products that might assist in extraction of mental models and elicitation of emotions based on an analysis of communicative texts among mission personnel. The search for text analysis software or tools revealed no available tools to enable extraction of mental models automatically, relying only on collected communication text. Nonetheless, using existing software to analyze how a team is functioning may be relevant for selection or training, when human experts are immediately available to analyze and act on the findings. Alternatively, if output can be sent to the ground periodically and analyzed by experts on the ground, then these software packages might be employed during missions as well. A demonstration of two text analysis software applications is presented. Another possibility explored in this document is the option of collecting biometric and proxemic measures such as keystroke dynamics and interpersonal distance in order to expose various individual or dyadic states that may be indicators or predictors of certain elements of team functioning. This document summarizes interviews conducted with personnel currently involved in observing or monitoring astronauts or who are in charge of technology that allows communication and monitoring. The objective of these interviews was to elicit their perspectives on monitoring team performance during long-duration missions and the feasibility of potential automatic non-obtrusive monitoring systems. Finally, in the last section, the report describes several priority areas for research that can help transform team mental models, biometrics, and/or proxemics into workable systems for unobtrusive monitoring of space flight team effectiveness. Conclusions from this work suggest that unobtrusive monitoring of space flight personnel is likely to be a valuable future tool for assessing team functioning, but that several research gaps must be filled before prototype systems can be developed for this purpose.

From Scientists' and Inventors' Minds to Some Scientific and Technological Products: Relationships between Theories, Models, Mental Models and Conceptions.

ERIC Educational Resources Information Center

Franco, Creso; de Barros, Henrique Lins; Colinvaux, Dominique; Krapas, Sonia; Queiroz, Gloria; Alves, Fatima

1999-01-01

Argues for the need for theoretical work on mental models in the field of science education. Considers relationships between both models and theories, and mental models and conceptions in order to improve the notions of "model" and "mental model" used in the literature. Contains 20 references. (Author/WRM)

Influence of early life stress on later hypothalamic–pituitary–adrenal axis functioning and its covariation with mental health symptoms: A study of the allostatic process from childhood into adolescence

PubMed Central

Essex, Marilyn J.; Shirtcliff, Elizabeth A.; Burk, Linnea R.; Ruttle, Paula L.; Klein, Marjorie H.; Slattery, Marcia J.; Kalin, Ned H.; Armstrong, Jeffrey M.

2012-01-01

The hypothalamic-pituitary-adrenal (HPA) axis is a primary mechanism in the allostatic process through which early life stress (ELS) contributes to disease. Studies of the influence of ELS on children’s HPA axis functioning have yielded inconsistent findings. To address this issue, the present study considers multiple types of ELS (maternal depression, paternal depression, and family expressed anger), mental health symptoms, and two components of HPA functioning (trait-like and epoch-specific activity) in a long-term prospective community study of 357 children. ELS was assessed during the infancy and preschool periods; mental health symptoms and cortisol were assessed at child ages 9, 11, 13, and 15 years. A 3-level hierarchical linear model addressed questions regarding the influences of ELS on HPA functioning and its co-variation with mental health symptoms. ELS influenced trait-like cortisol level and slope, with both hyper- and hypo-arousal evident depending on type of ELS. Further, type(s) of ELS influenced co-variation of epoch-specific HPA functioning and mental health symptoms, with a tighter coupling of HPA alterations with symptom severity among children exposed previously to ELS. Results highlight the importance of examining multiple types of ELS and dynamic HPA functioning in order to capture the allostatic process unfolding across the transition into adolescence. PMID:22018080

Influence of early life stress on later hypothalamic-pituitary-adrenal axis functioning and its covariation with mental health symptoms: a study of the allostatic process from childhood into adolescence.

PubMed

Essex, Marilyn J; Shirtcliff, Elizabeth A; Burk, Linnea R; Ruttle, Paula L; Klein, Marjorie H; Slattery, Marcia J; Kalin, Ned H; Armstrong, Jeffrey M

2011-11-01

The hypothalamic-pituitary-adrenal (HPA) axis is a primary mechanism in the allostatic process through which early life stress (ELS) contributes to disease. Studies of the influence of ELS on children's HPA axis functioning have yielded inconsistent findings. To address this issue, the present study considers multiple types of ELS (maternal depression, paternal depression, and family expressed anger), mental health symptoms, and two components of HPA functioning (traitlike and epoch-specific activity) in a long-term prospective community study of 357 children. ELS was assessed during the infancy and preschool periods; mental health symptoms and cortisol were assessed at child ages 9, 11, 13, and 15 years. A three-level hierarchical linear model addressed questions regarding the influences of ELS on HPA functioning and its covariation with mental health symptoms. ELS influenced traitlike cortisol level and slope, with both hyper- and hypoarousal evident depending on type of ELS. Further, type(s) of ELS influenced covariation of epoch-specific HPA functioning and mental health symptoms, with a tighter coupling of HPA alterations with symptom severity among children exposed previously to ELS. Results highlight the importance of examining multiple types of ELS and dynamic HPA functioning in order to capture the allostatic process unfolding across the transition into adolescence.

Short-term functional health and well-being after marital separation: does initiator status make a difference?

PubMed

Hewitt, Belinda; Turrell, Gavin

2011-06-01

The authors investigated the health consequences of marital separation and whether the partners who initiated the separation had better health than those who did not. The data came from the Households, Income and Labour Dynamics in Australia (HILDA) panel study (2001-2007), comprising an analytic sample of 1,786 men and 2,068 women who were in their first marriages in 2001. For participants who separated, the authors distinguished between self-initiated, partner-initiated, and jointly initiated separations. Using linear random-intercept models, they examined scores on the 8 physical and mental health dimensions of Short Form 36, with scale scores ranging from 0 to 100. The results indicated that in general, men who separated had a decline in health, although this was more pronounced for mental dimensions than for physical dimensions. Among separated men, those whose partner initiated the separation had poorer mental health than those for whom the separation was self-initiated or jointly initiated (-4.61). Women's physical health improved with separation, but their mental health declined. For separated women, those whose partner initiated the separation had lower scores on the general health (-5.39), role-emotional (-11.08), and mental health (-7.18) scales than women who self-initiated separation. The health consequences of separation were less severe for self- or jointly initiated separations, suggesting that not all marital dissolutions are equally bad for health.

Use of personalized Dynamic Treatment Regimes (DTRs) and Sequential Multiple Assignment Randomized Trials (SMARTs) in mental health studies

PubMed Central

Liu, Ying; ZENG, Donglin; WANG, Yuanjia

2014-01-01

Summary Dynamic treatment regimens (DTRs) are sequential decision rules tailored at each point where a clinical decision is made based on each patient’s time-varying characteristics and intermediate outcomes observed at earlier points in time. The complexity, patient heterogeneity, and chronicity of mental disorders call for learning optimal DTRs to dynamically adapt treatment to an individual’s response over time. The Sequential Multiple Assignment Randomized Trial (SMARTs) design allows for estimating causal effects of DTRs. Modern statistical tools have been developed to optimize DTRs based on personalized variables and intermediate outcomes using rich data collected from SMARTs; these statistical methods can also be used to recommend tailoring variables for designing future SMART studies. This paper introduces DTRs and SMARTs using two examples in mental health studies, discusses two machine learning methods for estimating optimal DTR from SMARTs data, and demonstrates the performance of the statistical methods using simulated data. PMID:25642116

Mental Models for Mechanical Comprehension. A Review of Literature.

DTIC Science & Technology

1986-06-01

the mental models that people use to understand and solve problems involving mechanics and motion. Method The existing psychological literature on...have been used to investigate mental models. The constructionist school is concerned with how mental models are formed. The information-processing...school uses the experimental methods of modern cognitive psychology to investigate mental structures. The componential approach attempts to meld the

Applications of system dynamics modelling to support health policy.

PubMed

Atkinson, Jo-An M; Wells, Robert; Page, Andrew; Dominello, Amanda; Haines, Mary; Wilson, Andrew

2015-07-09

The value of systems science modelling methods in the health sector is increasingly being recognised. Of particular promise is the potential of these methods to improve operational aspects of healthcare capacity and delivery, analyse policy options for health system reform and guide investments to address complex public health problems. Because it lends itself to a participatory approach, system dynamics modelling has been a particularly appealing method that aims to align stakeholder understanding of the underlying causes of a problem and achieve consensus for action. The aim of this review is to determine the effectiveness of system dynamics modelling for health policy, and explore the range and nature of its application. A systematic search was conducted to identify articles published up to April 2015 from the PubMed, Web of Knowledge, Embase, ScienceDirect and Google Scholar databases. The grey literature was also searched. Papers eligible for inclusion were those that described applications of system dynamics modelling to support health policy at any level of government. Six papers were identified, comprising eight case studies of the application of system dynamics modelling to support health policy. No analytic studies were found that examined the effectiveness of this type of modelling. Only three examples engaged multidisciplinary stakeholders in collective model building. Stakeholder participation in model building reportedly facilitated development of a common 'mental map' of the health problem, resulting in consensus about optimal policy strategy and garnering support for collaborative action. The paucity of relevant papers indicates that, although the volume of descriptive literature advocating the value of system dynamics modelling is considerable, its practical application to inform health policy making is yet to be routinely applied and rigorously evaluated. Advances in software are allowing the participatory model building approach to be extended to more sophisticated multimethod modelling that provides policy makers with more powerful tools to support the design of targeted, effective and equitable policy responses for complex health problems. Building capacity and investing in communication to promote these modelling methods, as well as documenting and evaluating their applications, will be vital to supporting uptake by policy makers.

Reconstructing dynamic mental models of facial expressions in prosopagnosia reveals distinct representations for identity and expression.

PubMed

Richoz, Anne-Raphaëlle; Jack, Rachael E; Garrod, Oliver G B; Schyns, Philippe G; Caldara, Roberto

2015-04-01

The human face transmits a wealth of signals that readily provide crucial information for social interactions, such as facial identity and emotional expression. Yet, a fundamental question remains unresolved: does the face information for identity and emotional expression categorization tap into common or distinct representational systems? To address this question we tested PS, a pure case of acquired prosopagnosia with bilateral occipitotemporal lesions anatomically sparing the regions that are assumed to contribute to facial expression (de)coding (i.e., the amygdala, the insula and the posterior superior temporal sulcus--pSTS). We previously demonstrated that PS does not use information from the eye region to identify faces, but relies on the suboptimal mouth region. PS's abnormal information use for identity, coupled with her neural dissociation, provides a unique opportunity to probe the existence of a dichotomy in the face representational system. To reconstruct the mental models of the six basic facial expressions of emotion in PS and age-matched healthy observers, we used a novel reverse correlation technique tracking information use on dynamic faces. PS was comparable to controls, using all facial features to (de)code facial expressions with the exception of fear. PS's normal (de)coding of dynamic facial expressions suggests that the face system relies either on distinct representational systems for identity and expression, or dissociable cortical pathways to access them. Interestingly, PS showed a selective impairment for categorizing many static facial expressions, which could be accounted for by her lesion in the right inferior occipital gyrus. PS's advantage for dynamic facial expressions might instead relate to a functionally distinct and sufficient cortical pathway directly connecting the early visual cortex to the spared pSTS. Altogether, our data provide critical insights on the healthy and impaired face systems, question evidence of deficits obtained from patients by using static images of facial expressions, and offer novel routes for patient rehabilitation. Copyright © 2014 Elsevier Ltd. All rights reserved.

Basic Strategies of Dynamic Supportive Therapy

PubMed Central

Misch, Donald A.

2000-01-01

Supportive therapy is the psychotherapeutic approach employed with the majority of mentally ill individuals. Nevertheless, most mental health professional training programs dedicate little time and effort to the teaching and learning of supportive therapy, and many mental health professionals are unable to clearly and concisely articulate the nature or process of supportive work. Although supportive therapy incorporates many specific techniques from a wide variety of psychotherapy schools, it can be conceptualized as consisting of a more limited number of underlying strategies. The fundamental strategies that underpin effective supportive therapy with mentally ill individuals are described. PMID:11069130

Brain connectivity dynamics during social interaction reflect social network structure

PubMed Central

Schmälzle, Ralf; Brook O’Donnell, Matthew; Garcia, Javier O.; Cascio, Christopher N.; Bayer, Joseph; Vettel, Jean M.

2017-01-01

Social ties are crucial for humans. Disruption of ties through social exclusion has a marked effect on our thoughts and feelings; however, such effects can be tempered by broader social network resources. Here, we use fMRI data acquired from 80 male adolescents to investigate how social exclusion modulates functional connectivity within and across brain networks involved in social pain and understanding the mental states of others (i.e., mentalizing). Furthermore, using objectively logged friendship network data, we examine how individual variability in brain reactivity to social exclusion relates to the density of participants’ friendship networks, an important aspect of social network structure. We find increased connectivity within a set of regions previously identified as a mentalizing system during exclusion relative to inclusion. These results are consistent across the regions of interest as well as a whole-brain analysis. Next, examining how social network characteristics are associated with task-based connectivity dynamics, we find that participants who showed greater changes in connectivity within the mentalizing system when socially excluded by peers had less dense friendship networks. This work provides insight to understand how distributed brain systems respond to social and emotional challenges and how such brain dynamics might vary based on broader social network characteristics. PMID:28465434

What do they know about Heat and Heat Conduction? A case study to excavate Pre-service Physics Teachers’ Mental Model in Heat and Heat Conduction

NASA Astrophysics Data System (ADS)

Sari, I. M.

2017-02-01

Teacher plays a crucial role in Education. Helping students construct scientifically mental model is one of obligation of Physics Education Department of Teacher Education Institute that produce physics teacher. Excavating students’ mental model is necessary to be done in physics education. This research was first to identify 23 physics students’ mental model of heat and heat conduction. A series of semi-structured interviews was conducted to excavate the students’ understanding of heat and mental models on heat conduction. The students who involved in this study come from different level from sophomore to master degree in Physics Education Department. This study adopted a constant comparison method to obtain the patterns of the participants’ responses through the students’ writing, drawing and verbal utterances. The framework for assessing mental model and the instruments were adopted and adapted from Chiou and Anderson (2010). We also compared the students’ understanding of heat and mental models on heat conduction. The result shows that Heat is treated as Intrinsic property, material substances, and caloric flow. None of students expressed heat as transfer of thermal energy. Moreover, there are two kinds of students’ fundamental component of mental model in heat conduction were found: medium and molecules. Students understanding of heat and fundamental components of mental model in heat conduction are not resulted from running mental model.

Physics of Life: A Model for Non-Newtonian Properties of Living Systems

NASA Technical Reports Server (NTRS)

Zak, Michail

2010-01-01

This innovation proposes the reconciliation of the evolution of life with the second law of thermodynamics via the introduction of the First Principle for modeling behavior of living systems. The structure of the model is quantum-inspired: it acquires the topology of the Madelung equation in which the quantum potential is replaced with the information potential. As a result, the model captures the most fundamental property of life: the progressive evolution; i.e. the ability to evolve from disorder to order without any external interference. The mathematical structure of the model can be obtained from the Newtonian equations of motion (representing the motor dynamics) coupled with the corresponding Liouville equation (representing the mental dynamics) via information forces. All these specific non-Newtonian properties equip the model with the levels of complexity that matches the complexity of life, and that makes the model applicable for description of behaviors of ecological, social, and economical systems. Rather than addressing the six aspects of life (organization, metabolism, growth, adaptation, response to stimuli, and reproduction), this work focuses only on biosignature ; i.e. the mechanical invariants of life, and in particular, the geometry and kinematics of behavior of living things. Living things obey the First Principles of Newtonian mechanics. One main objective of this model is to extend the First Principles of classical physics to include phenomenological behavior on living systems; to develop a new mathematical formalism within the framework of classical dynamics that would allow one to capture the specific properties of natural or artificial living systems such as formation of the collective mind based upon abstract images of the selves and non-selves; exploitation of this collective mind for communications and predictions of future expected characteristics of evolution; and for making decisions and implementing the corresponding corrections if the expected scenario is different from the originally planned one. This approach postulates that even a primitive living species possesses additional, non-Newtonian properties that are not included in the laws of Newtonian or statistical mechanics. These properties follow from a privileged ability of living systems to possess a self-image (a concept introduced in psychology) and to interact with it. The proposed mathematical system is based on the coupling of the classical dynamical system representing the motor dynamics with the corresponding Liouville equation describing the evolution of initial uncertainties in terms of the probability density and representing the mental dynamics. The coupling is implemented by the information-based supervising forces that can be associated with self-awareness. These forces fundamentally change the pattern of the probability evolution, and therefore, lead to a major departure of the behavior of living systems from the patterns of both Newtonian and statistical mechanics. This innovation is meant to capture the signature of life based only on observable behavior, not on any biochemistry. This will not prevent the use of this model for developing artificial living systems, as well as for studying some general properties of behavior of natural, living systems.

A multimodal approach to estimating vigilance using EEG and forehead EOG.

PubMed

Zheng, Wei-Long; Lu, Bao-Liang

2017-04-01

Covert aspects of ongoing user mental states provide key context information for user-aware human computer interactions. In this paper, we focus on the problem of estimating the vigilance of users using EEG and EOG signals. The PERCLOS index as vigilance annotation is obtained from eye tracking glasses. To improve the feasibility and wearability of vigilance estimation devices for real-world applications, we adopt a novel electrode placement for forehead EOG and extract various eye movement features, which contain the principal information of traditional EOG. We explore the effects of EEG from different brain areas and combine EEG and forehead EOG to leverage their complementary characteristics for vigilance estimation. Considering that the vigilance of users is a dynamic changing process because the intrinsic mental states of users involve temporal evolution, we introduce continuous conditional neural field and continuous conditional random field models to capture dynamic temporal dependency. We propose a multimodal approach to estimating vigilance by combining EEG and forehead EOG and incorporating the temporal dependency of vigilance into model training. The experimental results demonstrate that modality fusion can improve the performance compared with a single modality, EOG and EEG contain complementary information for vigilance estimation, and the temporal dependency-based models can enhance the performance of vigilance estimation. From the experimental results, we observe that theta and alpha frequency activities are increased, while gamma frequency activities are decreased in drowsy states in contrast to awake states. The forehead setup allows for the simultaneous collection of EEG and EOG and achieves comparative performance using only four shared electrodes in comparison with the temporal and posterior sites.

The impact of precarious employment on mental health: The case of Italy.

PubMed

Moscone, F; Tosetti, E; Vittadini, G

2016-06-01

Although there has been a sizeable empirical literature measuring the effect of job precariousness on the mental health of workers the debate is still open, and understanding the true nature of such relationship has important policy implications. In this paper, we investigate the impact of precarious employment on mental health using a unique, very large data set that matches information on job contracts for over 2.7 million employees in Italy followed over the years 2007-2011, with their psychotropic medication prescription. We examine the causal effects of temporary contracts, their duration and the number of contract changes during the year on the probability of having one or more prescriptions for medication to treat mental health problems. To this end, we estimate a dynamic Probit model, and deal with the potential endogeneity of regressors by adopting an instrumental variables approach. As instruments, we use firm-level probabilities of being a temporary worker as well as other firm-level variables that do not depend on the mental illness status of the workers. Our results show that the probability of psychotropic medication prescription is higher for workers under temporary job contracts. More days of work under temporary contract as well as frequent changes in temporary contract significantly increase the probability of developing mental health problems that need to be medically treated. We also find that moving from permanent to temporary employment increases mental illness; symmetrically, although with a smaller effect in absolute value, moving from temporary to permanent employment tends to reduce it. Policy interventions aimed at increasing the flexibility of the labour market through an increase of temporary contracts should also take into account the social and economic cost of these reforms, in terms of psychological wellbeing of employees. Copyright © 2016. Published by Elsevier Ltd.

Parents' work patterns and adolescent mental health.

PubMed

Dockery, Alfred; Li, Jianghong; Kendall, Garth

2009-02-01

Previous research demonstrates that non-standard work schedules undermine the stability of marriage and reduce family cohesiveness. Limited research has investigated the effects of parents working non-standard schedules on children's health and wellbeing and no published Australian studies have addressed this important issue. This paper contributes to bridging this knowledge gap by focusing on adolescents aged 15-20 years and by including sole parent families which have been omitted in previous research, using panel data from the Household, Income and Labour Dynamics in Australia Survey. Multilevel linear regression models are estimated to analyse the association between parental work schedules and hours of work and measures of adolescents' mental health derived from the SF-36 Health Survey. Evidence of negative impacts of parents working non-standard hours upon adolescent wellbeing is found to exist primarily within sole parent families.

Self-reported well-being score modelling and prediction: Proof-of-concept of an approach based on linear dynamic systems.

PubMed

Xinyang Li; Poli, Riccardo; Valenza, Gaetano; Scilingo, Enzo Pasquale; Citi, Luca

2017-07-01

Assessment and recognition of perceived well-being has wide applications in the development of assistive healthcare systems for people with physical and mental disorders. In practical data collection, these systems need to be less intrusive, and respect users' autonomy and willingness as much as possible. As a result, self-reported data are not necessarily available at all times. Conventional classifiers, which usually require feature vectors of a prefixed dimension, are not well suited for this problem. To address the issue of non-uniformly sampled measurements, in this study we propose a method for the modelling and prediction of self-reported well-being scores based on a linear dynamic system. Within the model, we formulate different features as observations, making predictions even in the presence of inconsistent and irregular data. We evaluate the proposed method with synthetic data, as well as real data from two patients diagnosed with cancer. In the latter, self-reported scores from three well-being-related scales were collected over a period of approximately 60 days. Prompted each day, the patients had the choice whether to respond or not. Results show that the proposed model is able to track and predict the patients' perceived well-being dynamics despite the irregularly sampled data.

A Study of the Coupling of FET Temperament Traits with Major Depression.

PubMed

Trofimova, Irina N; Sulis, William

2016-01-01

Objective: Temperament and mental illness have been linked to the same systems of behavioral regulation. A temperament model, carefully structured to respond to subtle differences within systems of behavior regulation, should exhibit distinct temperament patterns in the presence of mental illness. Previous comparisons of temperament profiles in mental disorders used mostly emotionality-related traits. In contrast, the Functional Ensemble of Temperament (FET) model differentiates not only between emotionality traits, but also between traits related to physical, verbal, and mental aspects of behavior and maps 12 functional aspects of behavior to temperament traits as well as to symptoms of mental illnesses. This article reports on the coupling of sex, age, and temperament traits with Major Depression (MD) using the FET framework. Method: Intake records of 467 subjects, ages 17-24, 25-45, 46-65, 66-84 were examined, with temperament assessed by the Structure of Temperament Questionnaire (based on the FET). Results: The presence of MD was associated with changes in mean temperament scores on 9 of the 12 traits. The results were in line with the DSM-5 criteria of fatigue (patients with MD reported a significant decrease in three types of endurance - motor-physical, social-verbal, and mental), of psychomotor retardation (a significant decrease in physical and social-verbal tempo) and of worthlessness (as low Self-Confidence). The results also showed that three new symptoms, high Impulsivity, high Neuroticism, and diminished Plasticity, should be considered as depressive symptoms in future versions of the DSM. As a significant negative result, no interaction of age or sex (with the exception of the Self-Confidence scale) with MD was found for temperament traits. Conclusion: The value of differentiating between physical, social, and mental aspects of behavior is demonstrated in the differential effects of major depression and gender. The value of differentiating between endurance, dynamical and orientation-related aspects of behavior is also demonstrated. The deleterious impact of MD on temperament scores appeared to be similar across all age groups. The appearance of high impulsivity, neuroticism, and low plasticity deserve further study as associated factors in future versions of the DSM/ICD.

A Study of the Coupling of FET Temperament Traits with Major Depression

PubMed Central

Trofimova, Irina N.; Sulis, William

2016-01-01

Objective: Temperament and mental illness have been linked to the same systems of behavioral regulation. A temperament model, carefully structured to respond to subtle differences within systems of behavior regulation, should exhibit distinct temperament patterns in the presence of mental illness. Previous comparisons of temperament profiles in mental disorders used mostly emotionality-related traits. In contrast, the Functional Ensemble of Temperament (FET) model differentiates not only between emotionality traits, but also between traits related to physical, verbal, and mental aspects of behavior and maps 12 functional aspects of behavior to temperament traits as well as to symptoms of mental illnesses. This article reports on the coupling of sex, age, and temperament traits with Major Depression (MD) using the FET framework. Method: Intake records of 467 subjects, ages 17–24, 25–45, 46–65, 66–84 were examined, with temperament assessed by the Structure of Temperament Questionnaire (based on the FET). Results: The presence of MD was associated with changes in mean temperament scores on 9 of the 12 traits. The results were in line with the DSM-5 criteria of fatigue (patients with MD reported a significant decrease in three types of endurance – motor-physical, social-verbal, and mental), of psychomotor retardation (a significant decrease in physical and social-verbal tempo) and of worthlessness (as low Self-Confidence). The results also showed that three new symptoms, high Impulsivity, high Neuroticism, and diminished Plasticity, should be considered as depressive symptoms in future versions of the DSM. As a significant negative result, no interaction of age or sex (with the exception of the Self-Confidence scale) with MD was found for temperament traits. Conclusion: The value of differentiating between physical, social, and mental aspects of behavior is demonstrated in the differential effects of major depression and gender. The value of differentiating between endurance, dynamical and orientation-related aspects of behavior is also demonstrated. The deleterious impact of MD on temperament scores appeared to be similar across all age groups. The appearance of high impulsivity, neuroticism, and low plasticity deserve further study as associated factors in future versions of the DSM/ICD. PMID:27933018

Brain-wave Dynamics Related to Cognitive Tasks and Neurofeedback Information Flow

NASA Astrophysics Data System (ADS)

Pop-Jordanova, Nada; Pop-Jordanov, Jordan; Dimitrovski, Darko; Markovska, Natasa

2003-08-01

Synchronization of oscillating neuronal discharges has been recently correlated to the moment of perception and the ensuing motor response, with transition between these two cognitive acts "through cellular mechanisms that remain to be established"[1]. Last year, using genetic strategies, it was found that the switching off persistent electric activity in the brain blocks memory recall [2]. On the other hand, analyzing mental-neural information flow, the nobelist Eccles has formulated a fundamental hypotheses that mental events may change the probability of quantum vesicular emissions of transmitters analogously to probability functions of quantum mechanics [3]. Applying the advanced quantum modeling to molecular rotational states exposed to electric activity in brain cells, we found that the probability of transitions does not depend on the field amplitude, suggesting the electric field frequency as the possible information-bearing physical quantity [4]. In this paper, an attempt is made to inter-correlate the above results on frequency aspects of neural transitions induced by cognitive tasks. Furthermore, considering the consecutive steps of mental-neural information flow during the biofeedback training to normalize EEG frequencies, the rationales for neurofeedback efficiency have been deduced.

Triple-aspect monism: physiological, mental unconscious and conscious aspects of brain activity.

PubMed

Pereira, Alfredo

2014-06-01

Brain activity contains three fundamental aspects: (a) The physiological aspect, covering all kinds of processes that involve matter and/or energy; (b) the mental unconscious aspect, consisting of dynamical patterns (i.e., frequency, amplitude and phase-modulated waves) embodied in neural activity. These patterns are variously operated (transmitted, stored, combined, matched, amplified, erased, etc), forming cognitive and emotional unconscious processes and (c) the mental conscious aspect, consisting of feelings experienced in the first-person perspective and cognitive functions grounded in feelings, as memory formation, selection of the focus of attention, voluntary behavior, aesthetical appraisal and ethical judgment. Triple-aspect monism (TAM) is a philosophical theory that provides a model of the relation of the three aspects. Spatially distributed neuronal dendritic potentials generate amplitude-modulated waveforms transmitted to the extracellular medium and adjacent astrocytes, prompting the formation of large waves in the astrocyte network, which are claimed to both integrate distributed information and instantiate feelings. According to the valence of the feeling, the large wave feeds back on neuronal synapses, modulating (reinforcing or depressing) cognitive and behavioral functions.

Cultural consultation as a model for training multidisciplinary mental healthcare professionals in cultural competence skills: preliminary results.

PubMed

Owiti, J A; Ajaz, A; Ascoli, M; de Jongh, B; Palinski, A; Bhui, K S

2014-01-01

Lack of cultural competence in care contributes to poor experiences and outcomes from care for migrants and racial and ethnic minorities. As a result, health and social care organizations currently promote cultural competence of their workforce as a means of addressing persistent poor experiences and outcomes. At present, there are unsystematic and diverse ways of promoting cultural competence, and their impact on clinician skills and patient outcomes is unknown. We developed and implemented an innovative model, cultural consultation service (CCS), to promote cultural competence of clinicians and directly improve on patient experiences and outcomes from care. CCS model is an adaptation of the McGill model, which uses ethnographic methodology and medical anthropological knowledge. The method and approach not only contributes both to a broader conceptual and dynamic understanding of culture, but also to learning of cultural competence skills by healthcare professionals. The CCS model demonstrates that multidisciplinary workforce can acquire cultural competence skills better through the clinical encounter, as this promotes integration of learning into day-to-day practice. Results indicate that clinicians developed a broader and patient-centred understanding of culture, and gained skills in narrative-based assessment method, management of complexity of care, competing assumptions and expectations, and clinical cultural formulation. Cultural competence is defined as a set of skills, attitudes and practices that enable the healthcare professionals to deliver high-quality interventions to patients from diverse cultural backgrounds. Improving on the cultural competence skills of the workforce has been promoted as a way of reducing ethnic and racial inequalities in service outcomes. Currently, diverse models for training in cultural competence exist, mostly with no evidence of effect. We established an innovative narrative-based cultural consultation service in an inner-city area to work with community mental health services to improve on patients' outcomes and clinicians' cultural competence skills. We targeted 94 clinicians in four mental health service teams in the community. After initial training sessions, we used a cultural consultation model to facilitate 'in vivo' learning. During cultural consultation, we used an ethnographic interview method to assess patients in the presence of referring clinicians. Clinicians' self-reported measure of cultural competence using the Tool for Assessing Cultural Competence Training (n = 28, at follow-up) and evaluation forms (n = 16) filled at the end of each cultural consultation showed improvement in cultural competence skills. We conclude that cultural consultation model is an innovative way of training clinicians in cultural competence skills through a dynamic interactive process of learning within real clinical encounters. © 2013 John Wiley & Sons Ltd.

EEG Brain Activity in Dynamic Health Qigong Training: Same Effects for Mental Practice and Physical Training?

PubMed

Henz, Diana; Schöllhorn, Wolfgang I

2017-01-01

In recent years, there has been significant uptake of meditation and related relaxation techniques, as a means of alleviating stress and fostering an attentive mind. Several electroencephalogram (EEG) studies have reported changes in spectral band frequencies during Qigong meditation indicating a relaxed state. Much less is reported on effects of brain activation patterns induced by Qigong techniques involving bodily movement. In this study, we tested whether (1) physical Qigong training alters EEG theta and alpha activation, and (2) mental practice induces the same effect as a physical Qigong training. Subjects performed the dynamic Health Qigong technique Wu Qin Xi (five animals) physically and by mental practice in a within-subjects design. Experimental conditions were randomized. Two 2-min (eyes-open, eyes-closed) EEG sequences under resting conditions were recorded before and immediately after each 15-min exercise. Analyses of variance were performed for spectral power density data. Increased alpha power was found in posterior regions in mental practice and physical training for eyes-open and eyes-closed conditions. Theta power was increased after mental practice in central areas in eyes-open conditions, decreased in fronto-central areas in eyes-closed conditions. Results suggest that mental, as well as physical Qigong training, increases alpha activity and therefore induces a relaxed state of mind. The observed differences in theta activity indicate different attentional processes in physical and mental Qigong training. No difference in theta activity was obtained in physical and mental Qigong training for eyes-open and eyes-closed resting state. In contrast, mental practice of Qigong entails a high degree of internalized attention that correlates with theta activity, and that is dependent on eyes-open and eyes-closed resting state.

Cardiorespiratory dynamic response to mental stress: a multivariate time-frequency analysis.

PubMed

Widjaja, Devy; Orini, Michele; Vlemincx, Elke; Van Huffel, Sabine

2013-01-01

Mental stress is a growing problem in our society. In order to deal with this, it is important to understand the underlying stress mechanisms. In this study, we aim to determine how the cardiorespiratory interactions are affected by mental arithmetic stress and attention. We conduct cross time-frequency (TF) analyses to assess the cardiorespiratory coupling. In addition, we introduce partial TF spectra to separate variations in the RR interval series that are linearly related to respiration from RR interval variations (RRV) that are not related to respiration. The performance of partial spectra is evaluated in two simulation studies. Time-varying parameters, such as instantaneous powers and frequencies, are derived from the computed spectra. Statistical analysis is carried out continuously in time to evaluate the dynamic response to mental stress and attention. The results show an increased heart and respiratory rate during stress and attention, compared to a resting condition. Also a fast reduction in vagal activity is noted. The partial TF analysis reveals a faster reduction of RRV power related to (3 s) than unrelated to (30 s) respiration, demonstrating that the autonomic response to mental stress is driven by mechanisms characterized by different temporal scales.

Objective evaluation of situation awareness for dynamic decision makers in teleoperations

NASA Technical Reports Server (NTRS)

Endsley, Mica R.

1991-01-01

Situation awareness, a current mental mode of the environment, is critical to the ability of operators to perform complex and dynamic tasks. This should be particularly true for teleoperators, who are separated from the situation they need to be aware of. The design of the man-machine interface must be guided by the goal of maintaining and enhancing situation awareness. The objective of this work has been to build a foundation upon which research in the area can proceed. A model of dynamic human decision making which is inclusive of situation awareness will be presented, along with a definition of situation awareness. A method for measuring situation awareness will also be presented as a tool for evaluating design concepts. The Situation Awareness Global Assessment Technique (SAGAT) is an objective measure of situation awareness originally developed for the fighter cockpit environment. The results of SAGAT validation efforts will be presented. Implications of this research for teleoperators and other operators of dynamic systems will be discussed.

Mental Models: Understanding the Impact of Fantasy Violence on Children's Moral Reasoning.

ERIC Educational Resources Information Center

Krcmar, Marina; Curtis, Stephen

2003-01-01

Tests the efficacy of mental models in understanding the effect of exposure to fantasy violence on children's responses to and reasoning about moral dilemmas involving aggression. Offers a possible extension to mental models that is consistent with current theory in cognitive science. Suggests that the activation of mental models regarding…

Mothers, Fathers, and Parental Systems: A Conceptual Model of Parental Engagement in Programmes for Child Mental Health-Connect, Attend, Participate, Enact (CAPE).

PubMed

Piotrowska, Patrycja J; Tully, L A; Lenroot, R; Kimonis, E; Hawes, D; Moul, C; Frick, P J; Anderson, V; Dadds, M R

2017-06-01

Parenting programmes are one of the best researched and most effective interventions for reducing child mental health problems. The success of such programmes, however, is largely dependent on their reach and parental engagement. Rates of parental enrolment and attendance are highly variable, and in many cases very low; this is especially true of father involvement in parenting programmes. This paper proposes a conceptual model of parental engagement in parenting programmes-the CAPE model (Connect, Attend, Participate, Enact) that builds on recent models by elaborating on the interdependent stages of engagement, and its interparental or systemic context. That is, we argue that a comprehensive model of parental engagement will best entail a process from connection to enactment of learned strategies in the child's environment, and involve consideration of individual parents (both mothers and fathers) as well as the dynamics of the parenting team. The model provides a framework for considering parent engagement as well as associated facilitators and mechanisms of parenting change such as parenting skills, self-efficacy, attributions, and the implementation context. Empirical investigation of the CAPE model could be used to further our understanding of parental engagement, its importance for programme outcomes, and mechanisms of change. This will guide future intervention refinement and developments as well as change in clinical practice.

Mental models of audit and feedback in primary care settings.

PubMed

Hysong, Sylvia J; Smitham, Kristen; SoRelle, Richard; Amspoker, Amber; Hughes, Ashley M; Haidet, Paul

2018-05-30

Audit and feedback has been shown to be instrumental in improving quality of care, particularly in outpatient settings. The mental model individuals and organizations hold regarding audit and feedback can moderate its effectiveness, yet this has received limited study in the quality improvement literature. In this study we sought to uncover patterns in mental models of current feedback practices within high- and low-performing healthcare facilities. We purposively sampled 16 geographically dispersed VA hospitals based on high and low performance on a set of chronic and preventive care measures. We interviewed up to 4 personnel from each location (n = 48) to determine the facility's receptivity to audit and feedback practices. Interview transcripts were analyzed via content and framework analysis to identify emergent themes. We found high variability in the mental models of audit and feedback, which we organized into positive and negative themes. We were unable to associate mental models of audit and feedback with clinical performance due to high variance in facility performance over time. Positive mental models exhibit perceived utility of audit and feedback practices in improving performance; whereas, negative mental models did not. Results speak to the variability of mental models of feedback, highlighting how facilities perceive current audit and feedback practices. Findings are consistent with prior research  in that variability in feedback mental models is associated with lower performance.; Future research should seek to empirically link mental models revealed in this paper to high and low levels of clinical performance.

Dynamic Causal Modeling of Preclinical Autosomal-Dominant Alzheimer's Disease.

PubMed

Penny, Will; Iglesias-Fuster, Jorge; Quiroz, Yakeel T; Lopera, Francisco Javier; Bobes, Maria A

2018-03-16

Dynamic causal modeling (DCM) is a framework for making inferences about changes in brain connectivity using neuroimaging data. We fitted DCMs to high-density EEG data from subjects performing a semantic picture matching task. The subjects are carriers of the PSEN1 mutation, which leads to early onset Alzheimer's disease, but at the time of EEG acquisition in 1999, these subjects were cognitively unimpaired. We asked 1) what is the optimal model architecture for explaining the event-related potentials in this population, 2) which connections are different between this Presymptomatic Carrier (PreC) group and a Non-Carrier (NonC) group performing the same task, and 3) which network connections are predictive of subsequent Mini-Mental State Exam (MMSE) trajectories. We found 1) a model with hierarchical rather than lateral connections between hemispheres to be optimal, 2) that a pathway from right inferotemporal cortex (IT) to left medial temporal lobe (MTL) was preferentially activated by incongruent items for subjects in the PreC group but not the NonC group, and 3) that increased effective connectivity among left MTL, right IT, and right MTL was predictive of subsequent MMSE scores.

Biology Students’ Initial Mental Model about Microorganism

NASA Astrophysics Data System (ADS)

Hamdiyati, Y.; Sudargo, F.; Redjeki, S.; Fitriani, A.

2017-02-01

The purpose of this study was to identify biology students’ initial mental model about microorganism. This research used descriptive method with 32 sixth semester biology students at Biology Education Departement-Universitas Pendidikan Indonesia as its respondents. Data was taken at the beginning of the 6th semester before respondents endure microbiology course. Instrument used to assess mental model was drawing-writing test in which it contains concepts such as structure of bacteria, archaea, virus, and fungi. Students were asked to describe their imagination about the structure of microorganisms and subsequently asked to explain the structure of microorganisms in writing through open-ended questions. Students’ response was then compared to scientists or experts’ mental models as the targeted mental model. Student mental models were categorized into five levels (levels 1-5), namely “there is no drawing/writing,” “wrong or irrelevant drawing/writing of question,” “partially correct drawing/writing,” “the drawing/writing that has some deficiencies,” and “completely correct and complete drawing/writing.” Results showed that the level of mental models through drawing or writing about the four concepts were varied. The highest level of mental models through drawing (D5) was found in the concept of bacteria, while the highest level of mental models through writing (W3) was found in the concept of bacteria, virus, and fungi. Mental model levels most commonly found in each concept through drawing-writing tests (D/W) were bacteria (D2/W2), Archaea (D1/W1 and D2/W2), virus (D3/W3), and fungi (D2/W1). From these results it is advisable to improve lectures and assessment strategy to enhance or complement students’ mental models about microorganisms.

Students’ mental model on heat convection concept and its relation with students conception on heat and temperature

NASA Astrophysics Data System (ADS)

Amalia, R.; Sari, I. M.; Sinaga, P.

2017-02-01

This research depended by previous studies that only to find out the misconceptions of students without figuring out the mechanism of the misconceptions. The mechanism of misconceptions can be studied more deeply with mental models. The purpose of this study was to find students ‘mental models of heat convection and its relation with students conception on heat and temperature. The method used in this study is exploratory mixed method design that implemented in one of the high schools in Bandung. The results showed that 7 mental models of heat convection in Chiou’s study (2013), only first model (diffusion-based convention), third model (evenly distributed convection) and fifth model (warmness topped convection II) were found and model hybrid convection as a new mental model. In addition, no specific relationship between mental models and categories of students’ conceptions on heat and temperature.

Fundamentally Distributed Information Processing Integrates the Motor Network into the Mental Workspace during Mental Rotation.

PubMed

Schlegel, Alexander; Konuthula, Dedeepya; Alexander, Prescott; Blackwood, Ethan; Tse, Peter U

2016-08-01

The manipulation of mental representations in the human brain appears to share similarities with the physical manipulation of real-world objects. In particular, some neuroimaging studies have found increased activity in motor regions during mental rotation, suggesting that mental and physical operations may involve overlapping neural populations. Does the motor network contribute information processing to mental rotation? If so, does it play a similar computational role in both mental and manual rotation, and how does it communicate with the wider network of areas involved in the mental workspace? Here we used multivariate methods and fMRI to study 24 participants as they mentally rotated 3-D objects or manually rotated their hands in one of four directions. We find that information processing related to mental rotations is distributed widely among many cortical and subcortical regions, that the motor network becomes tightly integrated into a wider mental workspace network during mental rotation, and that motor network activity during mental rotation only partially resembles that involved in manual rotation. Additionally, these findings provide evidence that the mental workspace is organized as a distributed core network that dynamically recruits specialized subnetworks for specific tasks as needed.

Mental health literacy as a mediator in use of mental health services among older korean adults.

PubMed

Kim, Young Sun; Rhee, T Greg; Lee, Hee Yun; Park, Byung Hyun; Sharratt, Monica L

2017-02-01

Existing literature suggests that mental health literacy is positively associated with mental health services utilization. Despite an aging population that faces significant mental health concerns in Korea, the role of mental health literacy on mental health services utilization is not known among older adults in Korea. This study aimed to (1) identify whether mental health literacy mediates the association between population characteristics and mental health services utilization and (2) identify an optimal path model for mental health services utilization among Korean older adults. Using a cross-sectional survey with a quota sampling strategy, we collected and analyzed responses from 596 community-dwelling individuals ages 65 years and older. We used structural equation modeling (SEM) to estimate the effect of mental health literacy as a mediator. When controlling for other relevant covariates in the optimal path model, mental health literacy mediated the relationships between three socio-demographic factors (education, general literacy, and health status) and mental health services utilization. The model fit index shows that the SEM fits very well (CFI = 0.92, NFI = 0.90, RMSEA = 0.07). Efforts to improve mental health literacy through community-based education programs may need to particularly target Korean older adults with the relevant socio-demographic characteristics to enhance their utilization of appropriate mental health services.

Challenges to Mental Health Counselors in a Dynamic Society: Macrostrategies in the Profession.

ERIC Educational Resources Information Center

Herr, Edwin L.

1991-01-01

Addresses major challenges facing mental health counselors in decade ahead and twenty-first century, including effects of advanced technology on occupational structure, changing family structures, cultural diversity and pluralism, and enlarging populations at risk. Advocates challenges be considered within profession's planning of macrostrategies,…

Classroom Learning Environments and the Mental Health of First Grade Children

ERIC Educational Resources Information Center

Milkie, Melissa A.; Warner, Catharine H.

2011-01-01

Sociological research focuses on how poverty, family, and neighborhood dynamics shape children's problems, but knowledge about how school is related to children's mental health is underdeveloped, despite its central presence in children's lives. Using a social structure and personality-stress contagion perspective, the authors use a nationally…

Application of the PRECEDE model to understanding mental health promoting behaviors in Hong Kong.

PubMed

Mo, Phoenix K H; Mak, Winnie W S

2008-08-01

The burdens related to mental illness have been increasingly recognized in many countries. Nevertheless, research in positive mental health behaviors remains scarce. This study utilizes the Predisposing, Reinforcing, and Enabling Causes in Education Diagnosis and Evaluation (PRECEDE) model to identify factors associated with mental health promoting behaviors and to examine the effects of these behaviors on mental well-being and quality of life among 941 adults in Hong Kong. Structural equation modeling shows that sense of coherence (predisposing factor), social support (reinforcing factor), and daily hassles (enabling factor) are significantly related to mental health promoting behaviors, which are associated with mental well-being and quality of life. Results of bootstrap analyses confirm the mediating role of mental health promoting behaviors on well-being and quality of life. The study supports the application of the PRECEDE model in understanding mental health promoting behaviors and demonstrates its relationships with well-being and quality of life.

The effect of patient-centeredness and gender of professional role models on trainees' mentalization responses. Implications for film-aided education.

PubMed

Bálint, Katalin; Nagy, Tamás; Csabai, Márta

2014-10-01

To examine how certain characteristics of film-presented practitioner role-models influence trainees' mentalization. In an experimental setting, psychology students watched four film clips presenting a patient-practitioner session; the clips varied in the practitioner's patient-centeredness (positive vs. negative) and gender. Participants commented on the practitioner's thoughts, emotions and intentions through the session. Analysis of 116 comments focused on the effect of patient-centeredness and gender variables on mentalization and judgment utterances. Negative role-models and female role-models induced higher levels of mentalization compared to positive and male role-models. There was no gender difference in the level of mentalization; however male participants gave more judgmental responses than female participants. The patient-centeredness had a larger effect on mentalization when trainees described the opposite gender role-model. In a systematic comparison, students' capacity for mentalization differed according to role-models' patient-centeredness and gender, as well as the gender-match of students with role-models. When working with film-presented role-models, educators should be aware of the differences in the level of mentalization elicited by positive and male role-models, as opposed to negative and female role-models. Educators should also consider the gender-match between trainees and role-models, therefore students should be exposed to both cross- and same-gender role-models. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Social Cognition in Schizophrenia: From Social Stimuli Processing to Social Engagement

PubMed Central

Billeke, Pablo; Aboitiz, Francisco

2013-01-01

Social cognition consists of several skills which allow us to interact with other humans. These skills include social stimuli processing, drawing inferences about others’ mental states, and engaging in social interactions. In recent years, there has been growing evidence of social cognitive impairments in patients with schizophrenia. Apparently, these impairments are separable from general neurocognitive impairments, such as attention, memory, and executive functioning. Moreover, social cognition seems to be a main determinant of functional outcome and could be used as a guide to elaborate new pharmacological and psychological treatments. However, most of these studies focus on individual mechanisms and observational perspectives; only few of them study schizophrenic patients during interactive situations. We first review evidences of social cognitive impairments both in social stimuli processing and in mental state attribution. We focus on the relationship between these functions and both general cognitive impairments and functional outcome. We next review recent game theory approaches to the study of how social engagement occurs in schizophrenic patients. The advantage of using game theory is that game-oriented tasks can assess social decision making in an interactive everyday situation model. Finally, we review proposed theoretical models used to explain social alterations and their underlying biological mechanisms. Based on interactive studies, we propose a framework which takes into account the dynamic nature of social processes. Thus, understanding social skills as a result of dynamical systems could facilitate the development of both basic research and clinical applications oriented to psychiatric populations. PMID:23444313

From recovery to regulation: an attempt to reconceptualize 'recovery from work'.

PubMed

Zijlstra, F R H; Cropley, M; Rydstedt, L W

2014-08-01

The concept of 'recovery' (from work) has quickly gained in importance in the occupational health literature. However, we think that the conceptualization of 'recovery' needs some more attention. Although many authors acknowledge that 'recovery' refers to a 'process', the concept is often treated as a static construct. In this paper, we argue that recovery should be conceptualized as a dynamic construct related to changes in psychophysiological state of the person. We refer to two main theories that have provided a theoretical framework for research in this area: Meijman & Mulder's Effort-Recovery (E-R) model and Hobfoll's Conservation of Resources theory. In particular, the E-R model has been seminal in this area and stresses the element of changing psychophysiological states that has been used for reconceptualising 'recovery'. Various biological rhythms influence these changing psychophysiological states, and thus the level of energy (or effort) a person can mobilize or wants to mobilize. A distinction is made between 'physical fatigue' and 'mental fatigue' and its consequences for recovery. The discrepancy between 'actual state' and 'required state' has been suggested as the basis for 'recovery'. This emphasises that recovery is a dynamic and ongoing process, which also included motivational aspects, in particular as far as mental work is concerned. The capacity to maintain self-regulation of one's psychophysiological state is important in this respect. Thus, we propose that 'recovery' is the continuous process of harmonizing the 'actual state' with the state that is 'required' at that moment. Copyright © 2014 John Wiley & Sons, Ltd.

Unobtrusive Monitoring of Spaceflight Team Functioning. Literature Review and Operational Assessment for NASA Behavioral Health and Performance Element

NASA Technical Reports Server (NTRS)

Maidel, Veronica; Stanton, Jeffrey M.

2010-01-01

This document contains a literature review suggesting that research on industrial performance monitoring has limited value in assessing, understanding, and predicting team functioning in the context of space flight missions. The review indicates that a more relevant area of research explores the effectiveness of teams and how team effectiveness may be predicted through the elicitation of individual and team mental models. Note that the mental models referred to in this literature typically reflect a shared operational understanding of a mission setting such as the cockpit controls and navigational indicators on a flight deck. In principle, however, mental models also exist pertaining to the status of interpersonal relations on a team, collective beliefs about leadership, success in coordination, and other aspects of team behavior and cognition. Pursuing this idea, the second part of this document provides an overview of available off-the-shelf products that might assist in extraction of mental models and elicitation of emotions based on an analysis of communicative texts among mission personnel. The search for text analysis software or tools revealed no available tools to enable extraction of mental models automatically, relying only on collected communication text. Nonetheless, using existing software to analyze how a team is functioning may be relevant for selection or training, when human experts are immediately available to analyze and act on the findings. Alternatively, if output can be sent to the ground periodically and analyzed by experts on the ground, then these software packages might be employed during missions as well. A demonstration of two text analysis software applications is presented. Another possibility explored in this document is the option of collecting biometric and proxemic measures such as keystroke dynamics and interpersonal distance in order to expose various individual or dyadic states that may be indicators or predictors of certain elements of team functioning. This document summarizes interviews conducted with personnel currently involved in observing or monitoring astronauts or who are in charge of technology that allows communication and monitoring. The objective of these interviews was to elicit their perspectives on monitoring team performance during long-duration missions and the feasibility of potential automatic non-obtrusive monitoring systems. Finally, in the last section, the report describes several priority areas for research that can help transform team mental models, biometrics, and/or proxemics into workable systems for unobtrusive monitoring of space flight team effectiveness. Conclusions from this work suggest that unobtrusive monitoring of space flight personnel is likely to be a valuable future tool for assessing team functioning, but that several research gaps must be filled before prototype systems can be developed for this purpose.

Preceptors' perspectives of an integrated clinical learning model in a mental health environment.

PubMed

Boardman, Gayelene; Lawrence, Karen; Polacsek, Meg

2018-02-14

Supervised clinical practice is an essential component of undergraduate nursing students' learning and development. In the mental health setting, nursing students traditionally undertake four-week block placements. An integrated clinical learning model, where preceptors mentor students on an individual basis, has been used successfully in the clinical learning environment. This flexible model provides the opportunity for students to work across morning, afternoon, night and weekend shifts. There is a need to improve the evidence base for a flexible model for students undertaking a mental health placement. The aim of this study was to understand preceptors' experience of, and satisfaction with, a mental health integrated clinical learning model. Focus groups were used to elicit the views of preceptors from a mental health service. Findings highlight the advantages and disadvantages of an integrated clinical learning model in the mental health setting. Participants suggested that students may benefit from flexible work arrangements, a variety of experiences and a more realistic experience of working in a mental health service. However, they found it challenging to mentor and evaluate students under this model. Most also agreed that the model impeded students' ability to engage with consumers and develop rapport with staff. The findings indicate the need to develop a placement model that meets the unique needs of the mental health setting. © 2018 Australian College of Mental Health Nurses Inc.

Reappraising the Relationships between Physics Students' Mental Models and Predictions: An Example of Heat Convection

ERIC Educational Resources Information Center

Chiou, Guo-Li

2013-01-01

Although prediction is claimed to be a prime function of mental models, to what extent students can run their mental models to make predictions of physical phenomena remains uncertain. The purpose of this study, therefore, was first to investigate 30 physics students' mental models of heat convection, and then to examine the relationship between…

Increase of perceived frequency of neighborhood domestic violence is associated with increase of women's depression symptoms in a nationally representative longitudinal study in South Africa.

PubMed

Meffert, Susan M; McCulloch, Charles E; Neylan, Thomas C; Gandhi, Monica; Lund, Crick

2015-04-01

Studies that examine the effects of neighborhood characteristics on mental health show that perceptions of general neighborhood violence are associated with depression across diverse populations (Clark et al., 2008; Velez-Gomez et al., 2013; Wilson-Genderson & Pruchno, 2013). However, to our knowledge, none have examined the specific effect of perceived frequency of neighborhood domestic violence (PFNDV) on residents' mental health, despite knowledge that domestic violence is a potent predictor of depression at the level of the individual. This study investigates the impact of PFNDV on mental health using the South African National Income Dynamics Study (SA-NIDS). NIDS Waves 2 and 3 measure the perceived frequency of six neighborhood violence subtypes through the NIDS household respondent questionnaire and depression through a questionnaire administered to all NIDS participants. Linear regression was used to model the relationship between change in depression symptoms and change in violence subtypes between Waves 2 and 3. We found that two-year increase in PFNDV was significantly correlated with increase of depression symptoms over the same time period for women, independently of individual, household and neighborhood level characteristics, including five other types of neighborhood violence. No other type of violence was associated with increased depression in women in the fully adjusted model. Research and policy implications are discussed. Copyright © 2015 Elsevier Ltd. All rights reserved.

The Structures and Possible Sources of Preservice Elementary Teachers' Mental Models About Moon Phases

NASA Astrophysics Data System (ADS)

Oh, Jun-Young; Kang, Yong-Hee; Yoo, Kye-Hwa

2005-09-01

This study was to understand the components that influence preservice elementary teachers' mental models about `astronomical phenomena' such as the Seasons of the year, and the Lunar Phases of the month. We selected university of education students among whom 23 were in the second year. The data collected from the paper-pencil test and individual interview with students. The results of this study show that the students had apparent synthetic Mental models, and that the 'distance theory, and occultation theory' had most important effects on their Mental Models. It can be said that preservice elementary teachers' initial mental models of the `astronomical phenomenon' have their origin in their belief sets (specific theory) related to `astronomical phenomenon', on the basis of which they can interpret their observations and cultural information with the constraints of a naive framework of physics. The structures and possible sources of their mental models for overcoming these synthetic mental models were also discussed.

Dynamics of Self-Injurious Behaviors.

ERIC Educational Resources Information Center

Newell, Karl M.; Sprague, Robert L.; Pain, Matthew T.; Deutsch, Katherine M.; Meinhold, Patricia

1999-01-01

Self-injurious behavior was examined in a case study of head-banging by an 8-year-old girl with profound mental retardation and an autistic disorder. Trajectories of arm movements and impact forces were determined from dynamic analysis of videotapes. Cycle-to-cycle consistency in the qualitative dynamics of the limb motions and impact forces…

Contemplative Neuroscience as an Approach to Volitional Consciousness

NASA Astrophysics Data System (ADS)

Thompson, Evan

This chapter presents a methodological approach to volitional consciousness for cognitive neuroscience based on studying the voluntary self-generation and self-regulation of mental states in meditation. Called contemplative neuroscience, this approach views attention, awareness, and emotion regulation as flexible and trainable skills, and works with experimental participants who have undergone training in contemplative practices designed to hone these skills. Drawing from research on the dynamical neural correlates of contemplative mental states and theories of large-scale neural coordination dynamics, I argue for the importance of global system causation in brain activity and present an "interventionist" approach to intentional causation.

Mental health in adolescence: is America's youth flourishing?

PubMed

Keyes, Corey L M

2006-07-01

A continuous assessment and a categorical diagnosis of the presence of mental health, described as flourishing, and the absence of mental health, characterized as languishing, are proposed and applied to data from the second wave of the Child Development Supplement (CDS-II) of the Panel Study of Income Dynamics (PSID), in which a comprehensive set of subjective well-being items were administered to a sample of 1,234 youth ages 12-18. Flourishing was the most prevalent diagnosis among youth ages 12-14; moderate mental health was the most prevalent diagnosis among youth ages 15-18. Depressive symptoms decreased as mental health increased. Prevalence of conduct problems (arrested, skipped school, alcohol use, cigarette smoking, and marijuana use) also decreased and measures of psychosocial functioning (global self-concept, self-determination, closeness to others, and school integration) increased as mental health increased. Findings suggest the importance of positive mental health in future research on adolescent development. 2006 APA, all rights reserved

Do great teams think alike? An examination of team mental models and their impact on team performance.

PubMed

Gardner, Aimee K; Scott, Daniel J; AbdelFattah, Kareem R

2017-05-01

Team mental models represent the shared understanding of team members within their relevant environment. Thus, team mental models should have a substantial impact on a team's ability to engage in purposeful and coordinated action. We sought to examine the impact of shared team mental models on team performance and to investigate if team mental models increase over time as teams continue to work together. New surgery interns were assigned randomly to 1 of 10 teams. Each team participated in one unique simulation every day for 5 days, each followed by video-based debriefing with a facilitator. Participants also completed independently a concept similarity tool validated previously in nonmedical team literature to assess team mental models. All performances were video recorded and evaluated with a scenario-specific team performance tool by a single, blinded junior surgeon under an institutional review board-approved protocol. Changes in performance and team mental models over time were assessed with paired samples t tests. Regression analysis was used to examine the extent to which team mental models predicted team performance. Thirty interns (age 27; 77% men) participated in the training program. Percentage of items achieved (x¯ ± SD) on the performance evaluation was 39 ± 20, 51 ± 14, 22 ± 17, 63 ± 14, and 77 ± 25 for Days 1-5, respectively. Team mental models were 30 ± 5, 28 ± 6, 27 ± 8, 26 ± 7, and 25 ± 6 for Days 1-5 respectively, such that larger values corresponded to greater differences in team mental models. Paired sample t tests indicated that both average performance and team mental models similarity improved from the first to last day (P < .01, P < .05, respectively). Additionally, regression analyses indicated that team mental models predicted team performance on Days 2-5 (all P < .05) but not on the first day of simulations. These results demonstrate that greater sharing of team mental models among the teams leads to better team performance. Additionally, the increase in team mental models over time suggests that engaging in team-based simulation may catalyze the process by which surgery teams are able to develop shared knowledge. Copyright © 2016 Elsevier Inc. All rights reserved.

The Arrow of Time and the Action of the Mind at the Molecular Level

NASA Astrophysics Data System (ADS)

Burns, Jean E.

2006-10-01

A new event is defined as an intervention in the time reversible dynamical trajectories of particles in a system. New events are then assumed to be quantum fluctuations in the spatial and momentum coordinates, and mental action is assumed to work by ordering such fluctuations. It is shown that when the cumulative values of such fluctuations in a mean free path of a molecule are magnified by molecular interaction at the end of that path, the momentum of a molecule can be changed from its original direction to any other direction. In this way mental action can produce effects through the ordering of thermal motions. Examples are given which show that the ordering of 104-105 molecules is sufficient to (a) produce detectible PK results and (b) open sufficient ion channels in the brain to initiate a physical action. The relationship of the above model to the arrow of time is discussed.

Biogenetic models of psychopathology, implicit guilt, and mental illness stigma.

PubMed

Rüsch, Nicolas; Todd, Andrew R; Bodenhausen, Galen V; Corrigan, Patrick W

2010-10-30

Whereas some research suggests that acknowledgment of the role of biogenetic factors in mental illness could reduce mental illness stigma by diminishing perceived responsibility, other research has cautioned that emphasizing biogenetic aspects of mental illness could produce the impression that mental illness is a stable, intrinsic aspect of a person ("genetic essentialism"), increasing the desire for social distance. We assessed genetic and neurobiological causal attributions about mental illness among 85 people with serious mental illness and 50 members of the public. The perceived responsibility of persons with mental illness for their condition, as well as fear and social distance, was assessed by self-report. Automatic associations between Mental Illness and Guilt and between Self and Guilt were measured by the Brief Implicit Association Test. Among the general public, endorsement of biogenetic models was associated with not only less perceived responsibility, but also greater social distance. Among people with mental illness, endorsement of genetic models had only negative correlates: greater explicit fear and stronger implicit self-guilt associations. Genetic models may have unexpected negative consequences for implicit self-concept and explicit attitudes of people with serious mental illness. An exclusive focus on genetic models may therefore be problematic for clinical practice and anti-stigma initiatives. Copyright © 2009 Elsevier Ltd. All rights reserved.

Systems biology by the rules: hybrid intelligent systems for pathway modeling and discovery.

PubMed

Bosl, William J

2007-02-15

Expert knowledge in journal articles is an important source of data for reconstructing biological pathways and creating new hypotheses. An important need for medical research is to integrate this data with high throughput sources to build useful models that span several scales. Researchers traditionally use mental models of pathways to integrate information and development new hypotheses. Unfortunately, the amount of information is often overwhelming and these are inadequate for predicting the dynamic response of complex pathways. Hierarchical computational models that allow exploration of semi-quantitative dynamics are useful systems biology tools for theoreticians, experimentalists and clinicians and may provide a means for cross-communication. A novel approach for biological pathway modeling based on hybrid intelligent systems or soft computing technologies is presented here. Intelligent hybrid systems, which refers to several related computing methods such as fuzzy logic, neural nets, genetic algorithms, and statistical analysis, has become ubiquitous in engineering applications for complex control system modeling and design. Biological pathways may be considered to be complex control systems, which medicine tries to manipulate to achieve desired results. Thus, hybrid intelligent systems may provide a useful tool for modeling biological system dynamics and computational exploration of new drug targets. A new modeling approach based on these methods is presented in the context of hedgehog regulation of the cell cycle in granule cells. Code and input files can be found at the Bionet website: www.chip.ord/~wbosl/Software/Bionet. This paper presents the algorithmic methods needed for modeling complicated biochemical dynamics using rule-based models to represent expert knowledge in the context of cell cycle regulation and tumor growth. A notable feature of this modeling approach is that it allows biologists to build complex models from their knowledge base without the need to translate that knowledge into mathematical form. Dynamics on several levels, from molecular pathways to tissue growth, are seamlessly integrated. A number of common network motifs are examined and used to build a model of hedgehog regulation of the cell cycle in cerebellar neurons, which is believed to play a key role in the etiology of medulloblastoma, a devastating childhood brain cancer.

A psychological model of mental disorder.

PubMed

Kinderman, Peter

2005-01-01

A coherent conceptualization of the role of psychological factors is of great importance in understanding mental disorder. Academic articles and professional reports alluding to psychological models of the etiology of mental disorder are becoming increasingly common, and there is evidence of a marked policy shift toward the provision of psychological therapies and interventions. This article discusses the relationship between biological, social, and psychological factors in the causation and treatment of mental disorder. It argues that simple biological reductionism is not scientifically justified, and also that the specific role of psychological processes within the biopsychosocial model requires further elaboration. The biopsychosocial model is usually interpreted as implying that biological, psychological, and social factors are co-equal partners in the etiology of mental disorder. The psychological model of mental disorder presented here suggests that disruption or dysfunction in psychological processes is a final common pathway in the development of mental disorder. These processes include, but are not limited to, cognitive processes. The model proposes that biological and social factors, together with a person's individual experiences, lead to mental disorder through their conjoint effects on those psychological processes. Implications for research, interventions, and policy are discussed.

The Organisation of Local Mental Health Services in Norway: Evidence, Uncertainty and Policy

ERIC Educational Resources Information Center

Ramsdal, Helge; Hansen, Gunnar Vold

2017-01-01

This article addresses questions about health authorities' recommendations on the local organisation of services for people with mental health disorders in Norway. Analysis is made of the dynamic relationship between different evaluations, national guidelines and other knowledge that influence the organisation of services. The analysis is based…

Using eye movements to explore mental representations of space.

PubMed

Fourtassi, Maryam; Rode, Gilles; Pisella, Laure

2017-06-01

Visual mental imagery is a cognitive experience characterised by the activation of the mental representation of an object or scene in the absence of the corresponding stimulus. According to the analogical theory, mental representations have a pictorial nature that preserves the spatial characteristics of the environment that is mentally represented. This cognitive experience shares many similarities with the experience of visual perception, including eye movements. The mental visualisation of a scene is accompanied by eye movements that reflect the spatial content of the mental image, and which can mirror the deformations of this mental image with respect to the real image, such as asymmetries or size reduction. The present article offers a concise overview of the main theories explaining the interactions between eye movements and mental representations, with some examples of the studies supporting them. It also aims to explain how ocular-tracking could be a useful tool in exploring the dynamics of spatial mental representations, especially in pathological situations where these representations can be altered, for instance in unilateral spatial neglect. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Modeling Psychological Attributes in Psychology – An Epistemological Discussion: Network Analysis vs. Latent Variables

PubMed Central

Guyon, Hervé; Falissard, Bruno; Kop, Jean-Luc

2017-01-01

Network Analysis is considered as a new method that challenges Latent Variable models in inferring psychological attributes. With Network Analysis, psychological attributes are derived from a complex system of components without the need to call on any latent variables. But the ontological status of psychological attributes is not adequately defined with Network Analysis, because a psychological attribute is both a complex system and a property emerging from this complex system. The aim of this article is to reappraise the legitimacy of latent variable models by engaging in an ontological and epistemological discussion on psychological attributes. Psychological attributes relate to the mental equilibrium of individuals embedded in their social interactions, as robust attractors within complex dynamic processes with emergent properties, distinct from physical entities located in precise areas of the brain. Latent variables thus possess legitimacy, because the emergent properties can be conceptualized and analyzed on the sole basis of their manifestations, without exploring the upstream complex system. However, in opposition with the usual Latent Variable models, this article is in favor of the integration of a dynamic system of manifestations. Latent Variables models and Network Analysis thus appear as complementary approaches. New approaches combining Latent Network Models and Network Residuals are certainly a promising new way to infer psychological attributes, placing psychological attributes in an inter-subjective dynamic approach. Pragmatism-realism appears as the epistemological framework required if we are to use latent variables as representations of psychological attributes. PMID:28572780

Systemic Case Formulation, Individualized Process Monitoring, and State Dynamics in a Case of Dissociative Identity Disorder.

PubMed

Schiepek, Günter K; Stöger-Schmidinger, Barbara; Aichhorn, Wolfgang; Schöller, Helmut; Aas, Benjamin

2016-01-01

Objective: The aim of this case report is to demonstrate the feasibility of a systemic procedure (synergetic process management) including modeling of the idiographic psychological system and continuous high-frequency monitoring of change dynamics in a case of dissociative identity disorder. The psychotherapy was realized in a day treatment center with a female client diagnosed with borderline personality disorder (BPD) and dissociative identity disorder. Methods: A three hour long co-creative session at the beginning of the treatment period allowed for modeling the systemic network of the client's dynamics of cognitions, emotions, and behavior. The components (variables) of this idiographic system model (ISM) were used to create items for an individualized process questionnaire for the client. The questionnaire was administered daily through an internet-based monitoring tool (Synergetic Navigation System, SNS), to capture the client's individual change process continuously throughout the therapy and after-care period. The resulting time series were reflected by therapist and client in therapeutic feedback sessions. Results: For the client it was important to see how the personality states dominating her daily life were represented by her idiographic system model and how the transitions between each state could be explained and understood by the activating and inhibiting relations between the cognitive-emotional components of that system. Continuous monitoring of her cognitions, emotions, and behavior via SNS allowed for identification of important triggers, dynamic patterns, and psychological mechanisms behind seemingly erratic state fluctuations. These insights enabled a change in management of the dynamics and an intensified trauma-focused therapy. Conclusion: By making use of the systemic case formulation technique and subsequent daily online monitoring, client and therapist continuously refer to detailed visualizations of the mental and behavioral network and its dynamics (e.g., order transitions). Effects on self-related information processing, on identity development, and toward a more pronounced autonomy in life (instead of feeling helpless against the chaoticity of state dynamics) were evident in the presented case and documented by the monitoring system.

Personality, relationship conflict, and teamwork-related mental models.

PubMed

Vîrgă, Delia; Curşeu, Petru Lucian; CurŞeu, Petru Lucian; Maricuţoiu, Laurenţiu; Sava, Florin A; Macsinga, Irina; Măgurean, Silvia

2014-01-01

This study seeks to explore whether neuroticism, agreeableness, and conscientiousness moderate the influence of relationship conflict experienced in groups on changes in group members' evaluative cognitions related to teamwork quality (teamwork-related mental models). Data from 216 students, nested in 48 groups were analyzed using a multilevel modeling approach. Our results show that the experience of relationship conflict leads to a negative shift from the pre-task to the post-task teamwork-related mental models. Moreover, the results indicate that conscientiousness buffered the negative association between relationship conflict and the change in teamwork-related mental models. Our results did not support the hypothesized moderating effect of agreeableness and show that the detrimental effect of relationship conflict on the shift in teamwork-related mental models is accentuated for group members scoring low rather than high on neuroticism. These findings open new research venues for exploring the association between personality, coping styles and change in teamwork-related mental models.

Personality, Relationship Conflict, and Teamwork-Related Mental Models

PubMed Central

Vîrgă, Delia; CurŞeu, Petru Lucian; Maricuţoiu, Laurenţiu; Sava, Florin A.; Macsinga, Irina; Măgurean, Silvia

2014-01-01

This study seeks to explore whether neuroticism, agreeableness, and conscientiousness moderate the influence of relationship conflict experienced in groups on changes in group members' evaluative cognitions related to teamwork quality (teamwork-related mental models). Data from 216 students, nested in 48 groups were analyzed using a multilevel modeling approach. Our results show that the experience of relationship conflict leads to a negative shift from the pre-task to the post-task teamwork-related mental models. Moreover, the results indicate that conscientiousness buffered the negative association between relationship conflict and the change in teamwork-related mental models. Our results did not support the hypothesized moderating effect of agreeableness and show that the detrimental effect of relationship conflict on the shift in teamwork-related mental models is accentuated for group members scoring low rather than high on neuroticism. These findings open new research venues for exploring the association between personality, coping styles and change in teamwork-related mental models. PMID:25372143

Mental workload and motor performance dynamics during practice of reaching movements under various levels of task difficulty.

PubMed

Shuggi, Isabelle M; Oh, Hyuk; Shewokis, Patricia A; Gentili, Rodolphe J

2017-09-30

The assessment of mental workload can inform attentional resource allocation during task performance that is essential for understanding the underlying principles of human cognitive-motor behavior. While many studies have focused on mental workload in relation to human performance, a modest body of work has examined it in a motor practice/learning context without considering individual variability. Thus, this work aimed to examine mental workload by employing the NASA TLX as well as the changes in motor performance resulting from the practice of a novel reaching task. Two groups of participants practiced a reaching task at a high and low nominal difficulty during which a group-level analysis assessed the mental workload, motor performance and motor improvement dynamics. A secondary cluster analysis was also conducted to identify specific individual patterns of cognitive-motor responses. Overall, both group- and cluster-level analyses revealed that: (i) all participants improved their performance throughout motor practice, and (ii) an increase in mental workload was associated with a reduction of the quality of motor performance along with a slower rate of motor improvement. The results are discussed in the context of the optimal challenge point framework and in particular it is proposed that under the experimental conditions employed here, functional task difficulty: (i) would possibly depend on an individuals' information processing capabilities, and (ii) could be indexed by the level of mental workload which, when excessively heightened can decrease the quality of performance and more generally result in delayed motor improvements. Copyright © 2017 IBRO. Published by Elsevier Ltd. All rights reserved.

Violence by Parents Against Their Children: Reporting of Maltreatment Suspicions, Child Protection, and Risk in Mental Illness.

PubMed

McEwan, Miranda; Friedman, Susan Hatters

2016-12-01

Psychiatrists are mandated to report suspicions of child abuse in America. Potential for harm to children should be considered when one is treating parents who are at risk. Although it is the commonly held wisdom that mental illness itself is a major risk factor for child abuse, there are methodologic issues with studies purporting to demonstrate this. Rather, the risk from an individual parent must be considered. Substance abuse and personality disorder pose a separate risk than serious mental illness. Violence risk from mental illness is dynamic, rather than static. When severe mental illness is well-treated, the risk is decreased. However, these families are in need of social support. Copyright © 2016 Elsevier Inc. All rights reserved.

A multimodal approach to estimating vigilance using EEG and forehead EOG

NASA Astrophysics Data System (ADS)

Zheng, Wei-Long; Lu, Bao-Liang

2017-04-01

Objective. Covert aspects of ongoing user mental states provide key context information for user-aware human computer interactions. In this paper, we focus on the problem of estimating the vigilance of users using EEG and EOG signals. Approach. The PERCLOS index as vigilance annotation is obtained from eye tracking glasses. To improve the feasibility and wearability of vigilance estimation devices for real-world applications, we adopt a novel electrode placement for forehead EOG and extract various eye movement features, which contain the principal information of traditional EOG. We explore the effects of EEG from different brain areas and combine EEG and forehead EOG to leverage their complementary characteristics for vigilance estimation. Considering that the vigilance of users is a dynamic changing process because the intrinsic mental states of users involve temporal evolution, we introduce continuous conditional neural field and continuous conditional random field models to capture dynamic temporal dependency. Main results. We propose a multimodal approach to estimating vigilance by combining EEG and forehead EOG and incorporating the temporal dependency of vigilance into model training. The experimental results demonstrate that modality fusion can improve the performance compared with a single modality, EOG and EEG contain complementary information for vigilance estimation, and the temporal dependency-based models can enhance the performance of vigilance estimation. From the experimental results, we observe that theta and alpha frequency activities are increased, while gamma frequency activities are decreased in drowsy states in contrast to awake states. Significance. The forehead setup allows for the simultaneous collection of EEG and EOG and achieves comparative performance using only four shared electrodes in comparison with the temporal and posterior sites.

Underemployment and its impacts on mental health among those with disabilities: evidence from the HILDA cohort.

PubMed

Milner, Allison; King, Tania Louise; LaMontagne, Anthony D; Aitken, Zoe; Petrie, Dennis; Kavanagh, Anne M

2017-12-01

Underemployment (defined as when a person in paid employment works for fewer hours than their desired full working capacity) is increasingly recognised as a component of employment precarity. This paper sought to investigate the effects of underemployment on the mental health of people with disabilities. Using 14 waves of the Household, Income and Labour Dynamics in Australia survey, we used fixed-effects models to assess whether the presence of a disability modified the association between underemployment and mental health. Both disability and underemployment were assessed as time-varying factors. Measures of effect measure modification were presented on the additive scale. The experience of underemployment was associated with a significantly greater decline in mental health when a person reported a disability (mean difference -1.38, 95% CI -2.20 to -0.57) compared with when they did not report a disability (mean difference -0.49, 95% CI -0.84 to -0.14). The combined effect of being underemployed and having a disability was nearly one point greater than the summed independent risks of having a disability and being underemployed (-0.89, 95% CI -1.75 to -0.03). People with disabilities are more likely to experience underemployment and more likely to have their mental health adversely affected by it. There is a need for more research and policy attention on how to ameliorate the effects of underemployment on the mental health of persons with disabilities. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a humanoid robot.

PubMed

Seepanomwan, Kristsana; Caligiore, Daniele; Cangelosi, Angelo; Baldassarre, Gianluca

2015-12-01

Mental rotation, a classic experimental paradigm of cognitive psychology, tests the capacity of humans to mentally rotate a seen object to decide if it matches a target object. In recent years, mental rotation has been investigated with brain imaging techniques to identify the brain areas involved. Mental rotation has also been investigated through the development of neural-network models, used to identify the specific mechanisms that underlie its process, and with neurorobotics models to investigate its embodied nature. Current models, however, have limited capacities to relate to neuro-scientific evidence, to generalise mental rotation to new objects, to suitably represent decision making mechanisms, and to allow the study of the effects of overt gestures on mental rotation. The work presented in this study overcomes these limitations by proposing a novel neurorobotic model that has a macro-architecture constrained by knowledge held on brain, encompasses a rather general mental rotation mechanism, and incorporates a biologically plausible decision making mechanism. The model was tested using the humanoid robot iCub in tasks requiring the robot to mentally rotate 2D geometrical images appearing on a computer screen. The results show that the robot gained an enhanced capacity to generalise mental rotation to new objects and to express the possible effects of overt movements of the wrist on mental rotation. The model also represents a further step in the identification of the embodied neural mechanisms that may underlie mental rotation in humans and might also give hints to enhance robots' planning capabilities. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Extended experience benefits spatial mental model development with route but not survey descriptions.

PubMed

Brunyé, Tad T; Taylor, Holly A

2008-02-01

Spatial descriptions symbolically represent environmental information through language and are written in two primary perspectives: survey, analogous to viewing a map, and route, analogous to navigation. Readers of survey or route descriptions form abstracted perspective flexible representations of the described environment, or spatial mental models. The present two experiments investigated the maintenance of perspective in spatial mental models as a function of description perspective and experience (operationalized through repetition), and as reflected in self-paced reading times. Experiment 1 involved studying survey and route descriptions either once or three times, then completing map drawing and true/false statement verification. Results demonstrated that spatial mental models are readily formed with survey descriptions, but require relatively more experience with route descriptions; further, some limited evidence suggests perspective dependence in spatial mental models, even following extended experience. Experiment 2 measured self-paced reading during three successive description presentations. Average reading times over the three presentations reduced more for survey relative to route descriptions, and there was no evidence for perspective specificity in resulting spatial mental models. This supports Experiment 1 findings demonstrating the relatively time-consuming nature of acquiring spatial mental models from route, but not survey descriptions. Results are discussed with regard to developmental, discourse processing, and spatial mental model theory.

When will Little Red Riding Hood become scared? Children's attribution of mental states to a story character.

PubMed

Ronfard, Samuel; Harris, Paul L

2014-01-01

As children listen to a simple action-based narrative, they construct a dynamic representation of the protagonist's movements, visual perspective, and goal-directed thoughts. We examined children's representations of more complex narratives in which the protagonist will encounter an unexpected outcome upon reaching his or her goal. Three studies involving 105 children between 3 and 6 years of age showed that children shifted in the mental states they attributed depending on the distance of the protagonist from the unexpected outcome. Even though children consistently recognized that the protagonist did not know about the surprise at any point, they increasingly attributed feelings and thoughts consistent with the surprise. The studies highlight the degree to which children's mental state attributions are dynamic rather than fixed by their current theory of mind. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Lexicons, contexts, events, and images: commentary on Elman (2009) from the perspective of dual coding theory.

PubMed

Paivio, Allan; Sadoski, Mark

2011-01-01

Elman (2009) proposed that the traditional role of the mental lexicon in language processing can largely be replaced by a theoretical model of schematic event knowledge founded on dynamic context-dependent variables. We evaluate Elman's approach and propose an alternative view, based on dual coding theory and evidence that modality-specific cognitive representations contribute strongly to word meaning and language performance across diverse contexts which also have effects predictable from dual coding theory. Copyright © 2010 Cognitive Science Society, Inc.

Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI.

PubMed

Perlovsky, Leonid I

2010-05-01

Processes in the mind: perception, cognition, concepts, instincts, emotions, and higher cognitive abilities for abstract thinking, beautiful music are considered here within a neural modeling fields (NMFs) paradigm. Its fundamental mathematical mechanism is a process "from vague-fuzzy to crisp," called dynamic logic (DL). This paper discusses why this paradigm is necessary mathematically, and relates it to a psychological description of the mind. Surprisingly, the process from "vague to crisp" corresponds to Aristotelian understanding of mental functioning. Recent functional magnetic resonance imaging (fMRI) measurements confirmed this process in neural mechanisms of perception.

School violence: effective response protocols for maximum safety and minimum liability.

PubMed

Miller, Laurence

2007-01-01

Despite the recent preoccupation with terrorism, most Americans are still killed by our own citizens, and school violence continues to be a significant source of mortality and trauma. This article describes the basic facts, features, and dynamics of school violence and presents a prevention, response, and recovery protocol adapted from the related field of workplace violence. This model may be used by educators, law enforcement professionals, and mental health clinicians in their collaborative efforts to make our academic institutions safer and healthier places to learn.

The association between social network factors and mental health at different life stages.

PubMed

Levula, Andrew; Wilson, Andrew; Harré, Michael

2016-07-01

Psychosocial factors are important determinants of an individual's health. This study examines the association between health scores and social network factors on mental health across different life stages. Data were drawn from the Household Income and Labour Dynamics in Australia survey for adolescents (n = 1739), adults (n = 10,309) and seniors (n = 2287). Hierarchical regression modelling was applied to examine effects within and across age groups. All the variables were derived from the self-completion questionnaire. The social network factors were statistically significant predictors of mental health outcomes for all three life stages. For adolescents, the three social network factors were statistically significant with social isolation having the largest impact (β = -.284, p < .001), followed by social connection (β = .084, p < .001) and social trust having a similar effect (β = .073, p < .001). For adults social isolation had the highest impact (β = -.203, p < .001), followed by social connection (β = .110, p < .001) and social trust (β = .087, p < .001).The results for seniors were social isolation (β = -.188, p < .001), social connection (β = .147, p < .001) and social trust (β = .032, p < .05). After adding the social network factors, the models improved significantly with social isolation playing the most significant role across all life stages, whereas the other social network factors played a differentiated role depending upon the life stage. These findings have practical implications in the design of mental health interventions across different life stages.

Does what you know matter? Investigating the relationship between mental models of climate change and pro-environmental behaviors

NASA Astrophysics Data System (ADS)

Davis, R.

2013-12-01

The purpose of this study is to test the conjecture that environmentally sustainable decisions and behaviors are related to individuals' conceptions of the natural world, in this case climate change; individuals' attitudes towards climate change; and the situations in which these decisions are made. The nature of mental models is an ongoing subject of disagreement. Some argue that mental models are coherent theories, much like scientific theories, that individuals employ systematically when reasoning about the world (Gopnik & Meltzoff, 1998). Others maintain that mental models are cobbled together from fragmented collections of ideas that are only loosely connected and context dependent (Disessa, 1988; Minstrell, 2000). It is likely that individuals sometimes reason about complex phenomena using systematic mental models and at other times reason using knowledge that is organized in fragmented pieces (Steedle & Shavelson, 2009). Thus, in measuring mental models of complex environmental systems, such as climate change, the assumption of systematicity may not be justified. Individuals may apply certain chains of reasoning in some contexts but not in others. The current study hypothesizes that an accurate mental model of climate change enables an individual to make effective evaluative judgments of environmental behavior options. The more an individual's mental model resembles that of an expert, the more consistent, accurate and automatic these judgments become. However, an accurate mental model is not sufficient to change environmental behavior. Real decisions and behaviors are products of a person-situation interaction: an interplay between psychosocial factors (such as knowledge and attitudes) and the situation in which the decision is made. This study investigates the relationship between both psychosocial and situational factors for climate change decisions. Data was collected from 436 adult participants through an online survey. The survey was comprised of demographic questions; three discreet instruments measuring (1) mental models of climate change, (2) attitudes and beliefs about climate change, and (3) self-reported behaviors; and an experimental intervention, followed by a behavioral intention question. Latent class analysis (LCA) and item-response theory (IRT) will be employed to analyze multiple-choice responses to the mental model survey to create groupings of individuals assumed to hold similar mental of climate change. A principal component analysis (PCA) using oblique rotation was employed to identify five scales (Chronbach's alpha > 0.80) within the attitude/belief instrument. Total and sub-scale scores were also calculated for self-reported behaviors. The relationships between mental models, attitudes and behaviors will be analyzed using multiple regression models. This work presents not only the development and validation of three novel instruments for accurately and efficiently measuring mental models, attitudes, and self-reported behaviors, but also provides insight into the types of mental models individuals hold. Understanding how climate change is conceptualized and how such knowledge influences attitudes and behaviors gives educators tools for guiding students towards more expert understandings while also enabling environmentalists to craft more effective messages.

Problem solving based learning model with multiple representations to improve student's mental modelling ability on physics

NASA Astrophysics Data System (ADS)

Haili, Hasnawati; Maknun, Johar; Siahaan, Parsaoran

2017-08-01

Physics is a lessons that related to students' daily experience. Therefore, before the students studying in class formally, actually they have already have a visualization and prior knowledge about natural phenomenon and could wide it themselves. The learning process in class should be aimed to detect, process, construct, and use students' mental model. So, students' mental model agree with and builds in the right concept. The previous study held in MAN 1 Muna informs that in learning process the teacher did not pay attention students' mental model. As a consequence, the learning process has not tried to build students' mental modelling ability (MMA). The purpose of this study is to describe the improvement of students' MMA as a effect of problem solving based learning model with multiple representations approach. This study is pre experimental design with one group pre post. It is conducted in XI IPA MAN 1 Muna 2016/2017. Data collection uses problem solving test concept the kinetic theory of gasses and interview to get students' MMA. The result of this study is clarification students' MMA which is categorized in 3 category; High Mental Modelling Ability (H-MMA) for 7

Childhood family wealth and mental health in a national cohort of young adults.

PubMed

Lê-Scherban, Félice; Brenner, Allison B; Schoeni, Robert F

2016-12-01

Mental health is critical to young adult health, as the onset of 75% of psychiatric disorders occurs by age 24 and psychiatric disorders early in life predict later behavioral health problems. Wealth may serve as a buffer against economic stressors. Family wealth may be particularly relevant for young adults by providing them with economic resources as they make educational decisions and move towards financial and social independence. We used prospectively collected data from 2060 young adults aged 18-27 in 2005-2011 from the Panel Study of Income Dynamics, a national cohort of US families. We examined associations between nonspecific psychological distress (measured with the K-6 scale) and childhood average household wealth during ages 0-18 years (net worth in 2010 dollars). In demographics-adjusted generalized estimating equation models, higher childhood wealth percentile was related to a lower prevalence of serious psychological distress: compared to below-median wealth, prevalence ratio (PR) = 0.56 (0.36-0.87) for 3 rd quartile and PR = 0.46 (0.29-0.73) for 4 th quartile. The associations were attenuated slightly by adjustment for parent education and more so by adjustment for childhood household income percentile. Understanding the lifelong processes through which distinct aspects of socioeconomic status affect mental health can help us identify high-risk populations and take steps to minimize future disparities in mental illness.

The importance of economic, social and cultural capital in understanding health inequalities: using a Bourdieu-based approach in research on physical and mental health perceptions.

PubMed

Pinxten, Wouter; Lievens, John

2014-09-01

In this article we adopt a Bourdieu-based approach to study social inequalities in perceptions of mental and physical health. Most research takes into account the impact of economic or social capital on health inequalities. Bourdieu, however, distinguishes between three forms of capital that can determine peoples' social position: economic, social and cultural capital. Health research examining the effects of cultural capital is scarce. By simultaneously considering and modelling indicators of each of Bourdieu's forms of capital, we further the understanding of the dynamics of health inequalities. Using data from a large-scale representative survey (N = 1825) in Flanders, Belgium, we find that each of the forms of capital has a net effect on perceptions of physical and mental health, which persists after controlling for the other forms of capital and for the effects of other correlates of perceived health. The only exception is that the cultural capital indicators are not related to mental health. These results confirm the value of a Bourdieu-based approach and indicate the need to consider economic, social and cultural capital to obtain a better understanding of social inequality in health. © 2014 The Authors. Sociology of Health & Illness © 2014 Foundation for the Sociology of Health & Illness/John Wiley & Sons Ltd.

Handover of patient information from the crisis assessment and treatment team to the inpatient psychiatric unit.

PubMed

Waters, Amanda; Sands, Natisha; Keppich-Arnold, Sandra; Henderson, Kathryn

2015-06-01

Handover, or the communication of patient information between clinicians, is a fundamental component of health care. Psychiatric settings are dynamic environments relying on timely and accurate communication to plan care and manage risk. Crisis assessment and treatment teams are the primary interface between community and mental health services in many Australian and international health services, facilitating access to assessment, treatment, and admission to hospital. No previous research has investigated the handover between crisis assessment and treatment teams and inpatient psychiatric units, despite the importance of handover to care planning. The aim of the present study was to identify the nature and types of information transferred during these handovers, and to explore how these guides initial care planning. An observational, exploratory study design was used. A 20-item handover observation tool was used to observe 19 occasions of handover. A prospective audit was undertaken on clinical documentation arising from the admission. Clinical information, including psychiatric history and mental state, were handed over consistently; however, information about consumer preferences was reported less consistently. The present study identified a lack of attention to consumer preferences at handover, despite the current focus on recovery-oriented models for mental health care, and the centrality of respecting consumer preferences within the recovery paradigm. © 2014 Australian College of Mental Health Nurses Inc.

Comprehensive School Mental Health: An Integrated "School-Based Pathway to Care" Model for Canadian Secondary Schools

ERIC Educational Resources Information Center

Wei, Yifeng; Kutcher, Stan; Szumilas, Magdalena

2011-01-01

Adolescence is a critical period for the promotion of mental health and the treatment of mental disorders. Schools are well-positioned to address adolescent mental health. This paper describes a school mental health model, "School-Based Pathway to Care," for Canadian secondary schools that links schools with primary care providers and…

On Looking into the Black Box: Prospects and Limits in the Search for Mental Models

NASA Technical Reports Server (NTRS)

Rouse, W. B.; Morris, N. M.

1984-01-01

To place the arguments advanced in this paper in alternative points of view with regard to mental models are reviewed. Use of the construct in areas such as neural information processing, manual control, decision making, problem solving, and cognitive science are discussed. Also reviewed are several taxonomies of mental models. The available empirical evidence for answering questions concerning the nature and usage of mental models is then discussed. A variety of studies are reviewed where the type and form of humans' knowledge have been manipulated. Also considered are numerous transfer of training studies whose results provide indirect evidence of the nature of mental models. The alternative perspectives considered and the spectrum of empirical evidence are combined to suggest a framework within which research on mental models can be viewed. By considering interactions of dimensions of this framework, the most salient unanswered questions can be identified.

Profile of Students’ Mental Model Change on Law Concepts Archimedes as Impact of Multi-Representation Approach

NASA Astrophysics Data System (ADS)

Taher, M.; Hamidah, I.; Suwarma, I. R.

2017-09-01

This paper outlined the results of an experimental study on the effects of multi-representation approach in learning Archimedes Law on students’ mental model improvement. The multi-representation techniques implemented in the study were verbal, pictorial, mathematical, and graphical representations. Students’ mental model was classified into three levels, i.e. scientific, synthetic, and initial levels, based on the students’ level of understanding. The present study employed the pre-experimental methodology, using one group pretest-posttest design. The subject of the study was 32 eleventh grade students in a Public Senior High School in Riau Province. The research instrument included model mental test on hydrostatic pressure concept, in the form of essay test judged by experts. The findings showed that there was positive change in students’ mental model, indicating that multi-representation approach was effective to improve students’ mental model.

Munchausen Syndrome by Proxy: Identification and Intervention

ERIC Educational Resources Information Center

Walk, Alexandra; Davies, Susan C.

2010-01-01

This article discusses the Munchausen syndrome by proxy (MSBP), also known as "factitious disorder by proxy" (FDBP) and fabricated and/or induced illness, which is a mental illness in which a person lies about the physical or mental well-being of a person he/she is responsible for. Most often the dynamic transpires between a mother and her child.…

Tremor Frequency Profile as a Function of Level of Mental Retardation

ERIC Educational Resources Information Center

Sprague, Robert L.; Deutsch, Katherine M.; Newell, Karl M.

2007-01-01

The characteristic slowness of movement initiation and execution in adult individuals with mental retardation may be driven by the slower frequency profile of the dynamics of the system. To investigate this hypothesis, we examined the resting and postural finger tremor frequency profile (single and dual limb) of adults as a function of level of…

Building capacity in mental health interventions in low resource countries: an apprenticeship model for training local providers

PubMed Central

2011-01-01

Background Recent global mental health research suggests that mental health interventions can be adapted for use across cultures and in low resource environments. As evidence for the feasibility and effectiveness of certain specific interventions begins to accumulate, guidelines are needed for how to train, supervise, and ideally sustain mental health treatment delivery by local providers in low- and middle-income countries (LMIC). Model and case presentations This paper presents an apprenticeship model for lay counselor training and supervision in mental health treatments in LMIC, developed and used by the authors in a range of mental health intervention studies conducted over the last decade in various low-resource settings. We describe the elements of this approach, the underlying logic, and provide examples drawn from our experiences working in 12 countries, with over 100 lay counselors. Evaluation We review the challenges experienced with this model, and propose some possible solutions. Discussion We describe and discuss how this model is consistent with, and draws on, the broader dissemination and implementation (DI) literature. Conclusion In our experience, the apprenticeship model provides a useful framework for implementation of mental health interventions in LMIC. Our goal in this paper is to provide sufficient details about the apprenticeship model to guide other training efforts in mental health interventions. PMID:22099582

Dissertation Defense Computational Fluid Dynamics Uncertainty Analysis for Payload Fairing Spacecraft Environmental Control Systems

NASA Technical Reports Server (NTRS)

Groves, Curtis Edward

2014-01-01

Spacecraft thermal protection systems are at risk of being damaged due to airflow produced from Environmental Control Systems. There are inherent uncertainties and errors associated with using Computational Fluid Dynamics to predict the airflow field around a spacecraft from the Environmental Control System. This paper describes an approach to quantify the uncertainty in using Computational Fluid Dynamics to predict airflow speeds around an encapsulated spacecraft without the use of test data. Quantifying the uncertainty in analytical predictions is imperative to the success of any simulation-based product. The method could provide an alternative to traditional "validation by test only" mentality. This method could be extended to other disciplines and has potential to provide uncertainty for any numerical simulation, thus lowering the cost of performing these verifications while increasing the confidence in those predictions. Spacecraft requirements can include a maximum airflow speed to protect delicate instruments during ground processing. Computational Fluid Dynamics can be used to verify these requirements; however, the model must be validated by test data. This research includes the following three objectives and methods. Objective one is develop, model, and perform a Computational Fluid Dynamics analysis of three (3) generic, non-proprietary, environmental control systems and spacecraft configurations. Several commercially available and open source solvers have the capability to model the turbulent, highly three-dimensional, incompressible flow regime. The proposed method uses FLUENT, STARCCM+, and OPENFOAM. Objective two is to perform an uncertainty analysis of the Computational Fluid Dynamics model using the methodology found in "Comprehensive Approach to Verification and Validation of Computational Fluid Dynamics Simulations". This method requires three separate grids and solutions, which quantify the error bars around Computational Fluid Dynamics predictions. The method accounts for all uncertainty terms from both numerical and input variables. Objective three is to compile a table of uncertainty parameters that could be used to estimate the error in a Computational Fluid Dynamics model of the Environmental Control System /spacecraft system. Previous studies have looked at the uncertainty in a Computational Fluid Dynamics model for a single output variable at a single point, for example the re-attachment length of a backward facing step. For the flow regime being analyzed (turbulent, three-dimensional, incompressible), the error at a single point can propagate into the solution both via flow physics and numerical methods. Calculating the uncertainty in using Computational Fluid Dynamics to accurately predict airflow speeds around encapsulated spacecraft in is imperative to the success of future missions.

Dissertation Defense: Computational Fluid Dynamics Uncertainty Analysis for Payload Fairing Spacecraft Environmental Control Systems

NASA Technical Reports Server (NTRS)

Groves, Curtis Edward

2014-01-01

Spacecraft thermal protection systems are at risk of being damaged due to airflow produced from Environmental Control Systems. There are inherent uncertainties and errors associated with using Computational Fluid Dynamics to predict the airflow field around a spacecraft from the Environmental Control System. This paper describes an approach to quantify the uncertainty in using Computational Fluid Dynamics to predict airflow speeds around an encapsulated spacecraft without the use of test data. Quantifying the uncertainty in analytical predictions is imperative to the success of any simulation-based product. The method could provide an alternative to traditional validation by test only mentality. This method could be extended to other disciplines and has potential to provide uncertainty for any numerical simulation, thus lowering the cost of performing these verifications while increasing the confidence in those predictions.Spacecraft requirements can include a maximum airflow speed to protect delicate instruments during ground processing. Computational Fluid Dynamics can be used to verify these requirements; however, the model must be validated by test data. This research includes the following three objectives and methods. Objective one is develop, model, and perform a Computational Fluid Dynamics analysis of three (3) generic, non-proprietary, environmental control systems and spacecraft configurations. Several commercially available and open source solvers have the capability to model the turbulent, highly three-dimensional, incompressible flow regime. The proposed method uses FLUENT, STARCCM+, and OPENFOAM. Objective two is to perform an uncertainty analysis of the Computational Fluid Dynamics model using the methodology found in Comprehensive Approach to Verification and Validation of Computational Fluid Dynamics Simulations. This method requires three separate grids and solutions, which quantify the error bars around Computational Fluid Dynamics predictions. The method accounts for all uncertainty terms from both numerical and input variables. Objective three is to compile a table of uncertainty parameters that could be used to estimate the error in a Computational Fluid Dynamics model of the Environmental Control System spacecraft system.Previous studies have looked at the uncertainty in a Computational Fluid Dynamics model for a single output variable at a single point, for example the re-attachment length of a backward facing step. For the flow regime being analyzed (turbulent, three-dimensional, incompressible), the error at a single point can propagate into the solution both via flow physics and numerical methods. Calculating the uncertainty in using Computational Fluid Dynamics to accurately predict airflow speeds around encapsulated spacecraft in is imperative to the success of future missions.

Computational Fluid Dynamics Uncertainty Analysis for Payload Fairing Spacecraft Environmental Control Systems

NASA Technical Reports Server (NTRS)

Groves, Curtis E.

2013-01-01

Spacecraft thermal protection systems are at risk of being damaged due to airflow produced from Environmental Control Systems. There are inherent uncertainties and errors associated with using Computational Fluid Dynamics to predict the airflow field around a spacecraft from the Environmental Control System. This proposal describes an approach to validate the uncertainty in using Computational Fluid Dynamics to predict airflow speeds around an encapsulated spacecraft. The research described here is absolutely cutting edge. Quantifying the uncertainty in analytical predictions is imperative to the success of any simulation-based product. The method could provide an alternative to traditional"validation by test only'' mentality. This method could be extended to other disciplines and has potential to provide uncertainty for any numerical simulation, thus lowering the cost of performing these verifications while increasing the confidence in those predictions. Spacecraft requirements can include a maximum airflow speed to protect delicate instruments during ground processing. Computationaf Fluid Dynamics can be used to veritY these requirements; however, the model must be validated by test data. The proposed research project includes the following three objectives and methods. Objective one is develop, model, and perform a Computational Fluid Dynamics analysis of three (3) generic, non-proprietary, environmental control systems and spacecraft configurations. Several commercially available solvers have the capability to model the turbulent, highly three-dimensional, incompressible flow regime. The proposed method uses FLUENT and OPEN FOAM. Objective two is to perform an uncertainty analysis of the Computational Fluid . . . Dynamics model using the methodology found in "Comprehensive Approach to Verification and Validation of Computational Fluid Dynamics Simulations". This method requires three separate grids and solutions, which quantify the error bars around Computational Fluid Dynamics predictions. The method accounts for all uncertainty terms from both numerical and input variables. Objective three is to compile a table of uncertainty parameters that could be used to estimate the error in a Computational Fluid Dynamics model of the Environmental Control System /spacecraft system. Previous studies have looked at the uncertainty in a Computational Fluid Dynamics model for a single output variable at a single point, for example the re-attachment length of a backward facing step. To date, the author is the only person to look at the uncertainty in the entire computational domain. For the flow regime being analyzed (turbulent, threedimensional, incompressible), the error at a single point can propagate into the solution both via flow physics and numerical methods. Calculating the uncertainty in using Computational Fluid Dynamics to accurately predict airflow speeds around encapsulated spacecraft in is imperative to the success of future missions.

A test of the vulnerability model: temperament and temperament change as predictors of future mental disorders - the TRAILS study.

PubMed

Laceulle, Odilia M; Ormel, Johan; Vollebergh, Wilma A M; van Aken, Marcel A G; Nederhof, Esther

2014-03-01

This study aimed to test the vulnerability model of the relationship between temperament and mental disorders using a large sample of adolescents from the TRacking Adolescents Individual Lives' Survey (TRAILS). The vulnerability model argues that particular temperaments can place individuals at risk for the development of mental health problems. Importantly, the model may imply that not only baseline temperament predicts mental health problems prospectively, but additionally, that changes in temperament predict corresponding changes in risk for mental health problems. Data were used from 1195 TRAILS participants. Adolescent temperament was assessed both at age 11 and at age 16. Onset of mental disorders between age 16 and 19 was assessed at age 19, by means of the World Health Organization Composite International Diagnostic Interview (WHO CIDI). Results showed that temperament at age 11 predicted future mental disorders, thereby providing support for the vulnerability model. Moreover, temperament change predicted future mental disorders above and beyond the effect of basal temperament. For example, an increase in frustration increased the risk of mental disorders proportionally. This study confirms, and extends, the vulnerability model. Consequences of both temperament and temperament change were general (e.g., changes in frustration predicted both internalizing and externalizing disorders) as well as dimension specific (e.g., changes in fear predicted internalizing but not externalizing disorders). These findings confirm previous studies, which showed that mental disorders have both unique and shared underlying temperamental risk factors. © 2013 The Authors. Journal of Child Psychology and Psychiatry © 2013 Association for Child and Adolescent Mental Health.

Mental Models: Knowledge in the Head and Knowledge in the World.

ERIC Educational Resources Information Center

Jonassen, David H.; Henning, Philip

1999-01-01

Explores the utility of mental models as learning outcomes in using complex and situated learning environments. Describes two studies: one aimed at eliciting mental models in the heads of novice refrigeration technicians, and the other an ethnographic study eliciting knowledge and models within the community of experienced refrigeration…

Research Review: Harnessing the power of individual participant data in a meta-analysis of the benefits and harms of the Incredible Years parenting program.

PubMed

Leijten, Patty; Gardner, Frances; Landau, Sabine; Harris, Victoria; Mann, Joanna; Hutchings, Judy; Beecham, Jennifer; Bonin, Eva-Maria; Scott, Stephen

2018-02-01

Parenting programs aim to reduce children's conduct problems through improvement of family dynamics. To date, research on the precise benefits and possible harms of parenting programs on family well-being has been unsystematic and likely to be subject to selective outcome reporting and publication bias. Better understanding of program benefits and harms requires full disclosure by researchers of all included measures, and large enough numbers of participants to be able to detect small effects and estimate them precisely. We obtained individual participant data for 14 of 15 randomized controlled trials on the Incredible Years parenting program in Europe (total N = 1,799). We used multilevel modeling to estimate program effects on 13 parent-reported outcomes, including parenting practices, children's mental health, and parental mental health. Parental use of praise, corporal punishment, threats, and shouting improved, while parental use of tangible rewards, monitoring, or laxness did not. Children's conduct problems and attention deficit hyperactivity disorder (ADHD) symptoms improved, while emotional problems did not. Parental mental health (depressive symptoms, self-efficacy, and stress) did not improve. There was no evidence of harmful effects. The Incredible Years parenting program improves the aspects of family well-being that it is primarily designed to improve: parenting and children's conduct problems. It also improves parent-reported ADHD symptoms in children. Wider benefits are limited: the program does not improve children's emotional problems or parental mental health. There are no signs of harm on any of the target outcomes. © 2017 Association for Child and Adolescent Mental Health.

Dynamic Object Representations in Infants with and without Fragile X Syndrome

PubMed Central

Farzin, Faraz; Rivera, Susan M.

2009-01-01

Our visual world is dynamic in nature. The ability to encode, mentally represent, and track an object's identity as it moves across time and space is critical for integrating and maintaining a complete and coherent view of the world. Here we investigated dynamic object processing in typically developing (TD) infants and infants with fragile X syndrome (FXS), a single-gene disorder associated with deficits in dorsal stream functioning. We used the violation of expectation method to assess infants’ visual response to expected versus unexpected outcomes following a brief dynamic (dorsal stream) or static (ventral stream) occlusion event. Consistent with previous reports of deficits in dorsal stream-mediated functioning in individuals with this disorder, these results reveal that, compared to mental age-matched TD infants, infants with FXS could maintain the identity of static, but not dynamic, object information during occlusion. These findings are the first to experimentally evaluate visual object processing skills in infants with FXS, and further support the hypothesis of dorsal stream difficulties in infants with this developmental disorder. PMID:20224809

Correlates of Mental Illness and Health Categories among Older Adults in China: An Empirical Study Based on the Two Continua Model.

PubMed

Jiang, Nan; Lu, Nan

2018-04-30

Keyes' two continua model is a useful concept in which mental health and mental illness exist on two separate axes. Based on this model, this study examined the prevalence and correlates of three mental health categories among older adults in China. Cross-sectional data were derived from Wave 1 of the Study on Global AGEing and Adult Health. Participants were categorized into complete mental health (CMH), complete mental illness (CMI), and moderate mental health (MMH) groups. Multinomial logistic regressions were used. The prevalence of CMH, CMI, and MMH in China was 18%, 16%, and 66%, respectively. Being female, unmarried, younger, and feeling unhealthy were more likely to result in placement in the CMI category. Employment, education, and cognitive function were identified as important protective factors of CMH. Age, income, urban or rural residence, and physical function difficulty were associated with all three categories. We demonstrated the utility of the two continua model in identifying mental health needs in Chinese contexts. The findings suggest that future policy reforms and clinical interventions should establish a more comprehensive mental health category as a screening tool nationwide. The promotion of social engagement could play an important role in treating mental illness and improving positive mental health.

[The Development of Psychiatric and Mental Health Nursing in Taiwan: Reflection From the Perspective of Recovery].

PubMed

Li, Jin-Biau; Tsai, Sing-Ling

2017-06-01

Evidence-based nursing science has identified psychological recovery, partnership, and medication adherence as factors that have influenced the development of mental health care. This article discusses the process by which mental health care has developed from a medical / rehabilitation-focused model to a model that focuses on patient empowerment. The current model aims to assist patients to achieve self-awareness and to develop coping skills that enhance their motivation to transform. Medical advances have improved the control of psychiatric symptoms. Following the introduction of 2nd generation antipsychotics, patients were invited to establish decisions related to these prescription medications. Under the principles of patient-centered service, Taiwanese mental health professionals have changed their relationship with patients from a therapeutic model to a mutual-partnership model. Furthermore, investigations of the therapeutic care of patients with mental illness have used the needs of patients as their starting point and emphasized various aspects of patient and caregiver needs. Taiwanese mental health professionals are searching for a model of mental health care that is superior to the traditional operative framework of medical authority.

Mental health recovery and economic recovery after the tsunami: high-frequency longitudinal evidence from Sri Lankan small business owners.

PubMed

de Mel, Suresh; McKenzie, David; Woodruff, Christopher

2008-02-01

A sample of 561 Sri Lanka microenterprise owners affected to various extents by the December 2004 Indian Ocean tsunami were surveyed five times at quarterly intervals between March 2005 and April 2006. Mental health recovery was measured through questions on return to normalcy and change in life outlook. Business profits were used to measure livelihoods recovery. We find that these mental health process measures are correlated with post-traumatic stress disorder and general mental health in a validation survey, and display similar correlates to both in the cross-section. However, socioeconomic factors are not found to be significant in predicting the dynamics of mental health recovery in a fixed effects logistic regression. Mental health recovery from a given initial level therefore appears to depend largely on time since the disaster, and not on economic recovery of an individual's livelihood.

Mental health service utilization in sub-Saharan Africa: is public mental health literacy the problem? Setting the perspectives right.

PubMed

Atilola, Olayinka

2016-06-01

The severely constrained resources for mental health service in less-developed regions like sub-Saharan Africa underscore the need for good public mental health literacy as a potential additional mental health resource. Several studies examining the level of public knowledge about the nature and dynamics of mental illness in sub-Saharan Africa in the last decade had concluded that such knowledge was poor and had called for further public enlightenment. What was thought to be mental health 'ignorance' has also been blamed for poor mainstream service utilization. These views however assume that non-alignment of the views of community dwellers in sub-Saharan Africa with the biomedical understanding of mental illness connotes 'ignorance', and that correcting such 'ignorance' will translate to improvements in service utilization. Within the framework of contemporary thinking in mental health literacy, this paper argues that such assumptions are not culturally nuanced and may have overrated the usefulness of de-contextualized public engagement in enhancing mental health service utilization in the region. The paper concludes with a discourse on how to contextualize public mental health enlightenment in the region and the wider policy initiatives that can improve mental health service utilization. © The Author(s) 2015.

Mental Effort and Performance as Determinants for the Dynamic Selection of Learning Tasks in Air Traffic Control Training

ERIC Educational Resources Information Center

Salden, Ron J.C.M.; Paas, Fred; Broers, Nick J.; van Merrienboer, Jeroen J. G.

2004-01-01

The differential effects of four task selection methods on training efficiency and transfer in computer-based training for Air Traffic Control were investigated. A non-dynamic condition, in which the learning tasks were presented to the participants in a fixed, predetermined sequence, was compared to three dynamic conditions, in which learning…

Building an Open Source Framework for Integrated Catchment Modeling

NASA Astrophysics Data System (ADS)

Jagers, B.; Meijers, E.; Villars, M.

2015-12-01

In order to develop effective strategies and associated policies for environmental management, we need to understand the dynamics of the natural system as a whole and the human role therein. This understanding is gained by comparing our mental model of the world with observations from the field. However, to properly understand the system we should look at dynamics of water, sediments, water quality, and ecology throughout the whole system from catchment to coast both at the surface and in the subsurface. Numerical models are indispensable in helping us understand the interactions of the overall system, but we need to be able to update and adjust them to improve our understanding and test our hypotheses. To support researchers around the world with this challenging task we started a few years ago with the development of a new open source modeling environment DeltaShell that integrates distributed hydrological models with 1D, 2D, and 3D hydraulic models including generic components for the tracking of sediment, water quality, and ecological quantities throughout the hydrological cycle composed of the aforementioned components. The open source approach combined with a modular approach based on open standards, which allow for easy adjustment and expansion as demands and knowledge grow, provides an ideal starting point for addressing challenging integrated environmental questions.

Dynamical Signatures of Living Systems

NASA Technical Reports Server (NTRS)

Zak, M.

1999-01-01

One of the main challenges in modeling living systems is to distinguish a random walk of physical origin (for instance, Brownian motions) from those of biological origin and that will constitute the starting point of the proposed approach. As conjectured, the biological random walk must be nonlinear. Indeed, any stochastic Markov process can be described by linear Fokker-Planck equation (or its discretized version), only that type of process has been observed in the inanimate world. However, all such processes always converge to a stable (ergodic or periodic) state, i.e., to the states of a lower complexity and high entropy. At the same time, the evolution of living systems directed toward a higher level of complexity if complexity is associated with a number of structural variations. The simplest way to mimic such a tendency is to incorporate a nonlinearity into the random walk; then the probability evolution will attain the features of diffusion equation: the formation and dissipation of shock waves initiated by small shallow wave disturbances. As a result, the evolution never "dies:" it produces new different configurations which are accompanied by an increase or decrease of entropy (the decrease takes place during formation of shock waves, the increase-during their dissipation). In other words, the evolution can be directed "against the second law of thermodynamics" by forming patterns outside of equilibrium in the probability space. Due to that, a specie is not locked up in a certain pattern of behavior: it still can perform a variety of motions, and only the statistics of these motions is constrained by this pattern. It should be emphasized that such a "twist" is based upon the concept of reflection, i.e., the existence of the self-image (adopted from psychology). The model consists of a generator of stochastic processes which represents the motor dynamics in the form of nonlinear random walks, and a simulator of the nonlinear version of the diffusion equation which represents the mental dynamics. It has been demonstrated that coupled mental-motor dynamics can simulate emerging self-organization, prey-predator games, collaboration and competition, "collective brain," etc.

Similarity and accuracy of mental models formed during nursing handovers: A concept mapping approach.

PubMed

Drach-Zahavy, Anat; Broyer, Chaya; Dagan, Efrat

2017-09-01

Shared mental models are crucial for constructing mutual understanding of the patient's condition during a clinical handover. Yet, scant research, if any, has empirically explored mental models of the parties involved in a clinical handover. This study aimed to examine the similarities among mental models of incoming and outgoing nurses, and to test their accuracy by comparing them with mental models of expert nurses. A cross-sectional study, exploring nurses' mental models via the concept mapping technique. 40 clinical handovers. Data were collected via concept mapping of the incoming, outgoing, and expert nurses' mental models (total of 120 concept maps). Similarity and accuracy for concepts and associations indexes were calculated to compare the different maps. About one fifth of the concepts emerged in both outgoing and incoming nurses' concept maps (concept similarity=23%±10.6). Concept accuracy indexes were 35%±18.8 for incoming and 62%±19.6 for outgoing nurses' maps. Although incoming nurses absorbed fewer number of concepts and associations (23% and 12%, respectively), they partially closed the gap (35% and 22%, respectively) relative to expert nurses' maps. The correlations between concept similarities, and incoming as well as outgoing nurses' concept accuracy, were significant (r=0.43, p<0.01; r=0.68 p<0.01, respectively). Finally, in 90% of the maps, outgoing nurses added information concerning the processes enacted during the shift, beyond the expert nurses' gold standard. Two seemingly contradicting processes in the handover were identified. "Information loss", captured by the low similarity indexes among the mental models of incoming and outgoing nurses; and "information restoration", based on accuracy measures indexes among the mental models of the incoming nurses. Based on mental model theory, we propose possible explanations for these processes and derive implications for how to improve a clinical handover. Copyright © 2017 Elsevier Ltd. All rights reserved.

Forensic psychiatry in India: Past, present, and future

PubMed Central

Nambi, S.; Ilango, Siva; Prabha, Lakshmi

2016-01-01

Forensic psychiatry is a subspecialty of psychiatry, in which scientific and clinical expertise is applied to legal issues in legal contexts embracing civil, criminal, correctional, or legislative matters. Forensic psychiatry is still in an infant stage in India and other developing countries. Law is the sanctioning discipline, and Psychiatry is the therapeutic discipline. Due to various reasons, Forensic Psychiatry is reared as Cinderella in our country; “which is much neglected, ignored, misinterpreted, and misunderstood. Legislation forms an integral component in the implementation of Mental Health Care; there is a dynamic relationship between the concept of mental illness, treatment of the mentally ill, and the law. Mental Health legislation is essential in protecting the rights and dignity of persons with Mental Disorders and for implementing effectively the mental health services. “Effective mental health legislation can provide a legal frame work to integrate mental health services in the community as to overcome stigma, discrimination, and exclusion of mentally ill persons. Legislations can also create enforceable standards for high quality medical care and improve access to care and protect civil, political, social, and economic rights of the mentally ill individual, including right to access to education, employment, housing, and social security.” PMID:28216766

Forensic psychiatry in India: Past, present, and future.

PubMed

Nambi, S; Ilango, Siva; Prabha, Lakshmi

2016-12-01

Forensic psychiatry is a subspecialty of psychiatry, in which scientific and clinical expertise is applied to legal issues in legal contexts embracing civil, criminal, correctional, or legislative matters. Forensic psychiatry is still in an infant stage in India and other developing countries. Law is the sanctioning discipline, and Psychiatry is the therapeutic discipline. Due to various reasons, Forensic Psychiatry is reared as Cinderella in our country; "which is much neglected, ignored, misinterpreted, and misunderstood. Legislation forms an integral component in the implementation of Mental Health Care; there is a dynamic relationship between the concept of mental illness, treatment of the mentally ill, and the law. Mental Health legislation is essential in protecting the rights and dignity of persons with Mental Disorders and for implementing effectively the mental health services. "Effective mental health legislation can provide a legal frame work to integrate mental health services in the community as to overcome stigma, discrimination, and exclusion of mentally ill persons. Legislations can also create enforceable standards for high quality medical care and improve access to care and protect civil, political, social, and economic rights of the mentally ill individual, including right to access to education, employment, housing, and social security."

Dynamical Principles of Emotion-Cognition Interaction: Mathematical Images of Mental Disorders

PubMed Central

Rabinovich, Mikhail I.; Muezzinoglu, Mehmet K.; Strigo, Irina; Bystritsky, Alexander

2010-01-01

The key contribution of this work is to introduce a mathematical framework to understand self-organized dynamics in the brain that can explain certain aspects of itinerant behavior. Specifically, we introduce a model based upon the coupling of generalized Lotka-Volterra systems. This coupling is based upon competition for common resources. The system can be regarded as a normal or canonical form for any distributed system that shows self-organized dynamics that entail winnerless competition. Crucially, we will show that some of the fundamental instabilities that arise in these coupled systems are remarkably similar to endogenous activity seen in the brain (using EEG and fMRI). Furthermore, by changing a small subset of the system's parameters we can produce bifurcations and metastable sequential dynamics changing, which bear a remarkable similarity to pathological brain states seen in psychiatry. In what follows, we will consider the coupling of two macroscopic modes of brain activity, which, in a purely descriptive fashion, we will label as cognitive and emotional modes. Our aim is to examine the dynamical structures that emerge when coupling these two modes and relate them tentatively to brain activity in normal and non-normal states. PMID:20877723

Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.

PubMed

Rabinovich, Mikhail I; Muezzinoglu, Mehmet K; Strigo, Irina; Bystritsky, Alexander

2010-09-21

The key contribution of this work is to introduce a mathematical framework to understand self-organized dynamics in the brain that can explain certain aspects of itinerant behavior. Specifically, we introduce a model based upon the coupling of generalized Lotka-Volterra systems. This coupling is based upon competition for common resources. The system can be regarded as a normal or canonical form for any distributed system that shows self-organized dynamics that entail winnerless competition. Crucially, we will show that some of the fundamental instabilities that arise in these coupled systems are remarkably similar to endogenous activity seen in the brain (using EEG and fMRI). Furthermore, by changing a small subset of the system's parameters we can produce bifurcations and metastable sequential dynamics changing, which bear a remarkable similarity to pathological brain states seen in psychiatry. In what follows, we will consider the coupling of two macroscopic modes of brain activity, which, in a purely descriptive fashion, we will label as cognitive and emotional modes. Our aim is to examine the dynamical structures that emerge when coupling these two modes and relate them tentatively to brain activity in normal and non-normal states.

The dynamic system of parental work of care for children with special health care needs: A conceptual model to guide quality improvement efforts

PubMed Central

2011-01-01

Background The work of care for parents of children with complex special health care needs may be increasing, while excessive work demands may erode the quality of care. We sought to summarize knowledge and develop a general conceptual model of the work of care. Methods Systematic review of peer-reviewed journal articles that focused on parents of children with special health care needs and addressed factors related to the physical and emotional work of providing care for these children. From the large pool of eligible articles, we selected articles in a randomized sequence, using qualitative techniques to identify the conceptual components of the work of care and their relationship to the family system. Results The work of care for a child with special health care needs occurs within a dynamic system that comprises 5 core components: (1) performance of tasks such as monitoring symptoms or administering treatments, (2) the occurrence of various events and the pursuit of valued outcomes regarding the child's physical health, the parent's mental health, or other attributes of the child or family, (3) operating with available resources and within certain constraints (4) over the passage of time, (5) while mentally representing or depicting the ever-changing situation and detecting possible problems and opportunities. These components interact, some with simple cause-effect relationships and others with more complex interdependencies. Conclusions The work of care affecting the health of children with special health care needs and their families can best be understood, studied, and managed as a multilevel complex system. PMID:22026518

Towards a functional model of mental disorders incorporating the laws of thermodynamics.

PubMed

Murray, George C; McKenzie, Karen

2013-05-01

The current paper presents the hypothesis that the understanding of mental disorders can be advanced by incorporating the laws of thermodynamics, specifically relating to energy conservation and energy transfer. These ideas, along with the introduction of the notion that entropic activities are symptomatic of inefficient energy transfer or disorder, were used to propose a model of understanding mental ill health as resulting from the interaction of entropy, capacity and work (environmental demands). The model was applied to Attention Deficit Hyperactivity Disorder, and was shown to be compatible with current thinking about this condition, as well as emerging models of mental disorders as complex networks. A key implication of the proposed model is that it argues that all mental disorders require a systemic functional approach, with the advantage that it offers a number of routes into the assessment, formulation and treatment for mental health problems. Copyright © 2013 Elsevier Ltd. All rights reserved.

The Neurobiology of Imagination: Possible Role of Interaction-Dominant Dynamics and Default Mode Network

PubMed Central

Agnati, Luigi F.; Guidolin, Diego; Battistin, L.; Pagnoni, G.; Fuxe, K.

2013-01-01

This work aims at presenting some hypotheses about the potential neurobiological substrate of imagery and imagination. For the present purposes, we will define imagery as the production of mental images associated with previous percepts, and imagination as the faculty of forming mental images of a novel character relating to something that has never been actually experienced by the subject but at a great extent emerges from his inner world. The two processes appear intimately related and imagery can arguably be considered as one of the main components of imagination. In this proposal, we argue that exaptation and redeployment, two basic concepts capturing important aspects of the evolution of biological structures and functions (Anderson, 2007), could also be useful in explaining imagery and imagination. As far as imagery is concerned it is proposed that neural structures originally implicated in performing certain functions, e.g., motor actions, can be reused for the imagery of the virtual execution of that function. As far as imagination is concerned we speculate that it can be the result of a “tinkering” that combines and modifies stored perceptual information and concepts leading to the creation of novel “mental objects” that are shaped by the subject peculiar inner world. Hence it is related to his self-awareness. The neurobiological substrate of the tinkering process could be found in a hierarchical model of the brain characterized by a multiplicity of functional modules (FMs) that can be assembled according to different spatial and temporal scales. Thus, it is surmised that a possible mechanism for the emergence of imagination could be represented by modulatory mechanisms controlling the perviousness of “modifiers” along the communication channels within and between FMs leading to their dynamically reassembling into novel configurations. PMID:23745117

Seventh Grade Students' Mental Models of the Greenhouse Effect

ERIC Educational Resources Information Center

Shepardson, Daniel P.; Choi, Soyoung; Niyogi, Dev; Charusombat, Umarporn

2011-01-01

This constructivist study investigates 225 student drawings and explanations from three different schools in the midwest in the US, to identify seventh grade students' mental models of the greenhouse effect. Five distinct mental models were derived from an inductive analysis of the content of the students' drawings and explanations: Model 1, a…

Externalising Students' Mental Models through Concept Maps

ERIC Educational Resources Information Center

Chang, Shu-Nu

2007-01-01

The purpose of this study is to use concept maps as an "expressed model" to investigate students' mental models regarding the homeostasis of blood sugar. The difficulties in learning the concept of homeostasis and in probing mental models have been revealed in many studies. Homeostasis of blood sugar is one of the themes in junior high…

Social Work Education on Mental Health: Postmodern Discourse and the Medical Model

ERIC Educational Resources Information Center

Casstevens, W. J.

2010-01-01

This article provides a pedagogical approach to presenting alternatives along with the traditional medical model in the context of mental health treatment and service provision. Given the current influence of the medical model in community mental health, this article outlines a rationale for challenging the model and considering alternative models…

Application of the PRECEDE Model to Understanding Mental Health Promoting Behaviors in Hong Kong

ERIC Educational Resources Information Center

Mo, Phoenix K. H.; Mak, Winnie W. S.

2008-01-01

The burdens related to mental illness have been increasingly recognized in many countries. Nevertheless, research in positive mental health behaviors remains scarce. This study utilizes the Predisposing, Reinforcing, and Enabling Causes in Education Diagnosis and Evaluation (PRECEDE) model to identify factors associated with mental health…

Mental models of adherence: parallels in perceptions, values, and expectations in adherence to prescribed home exercise programs and other personal regimens.

PubMed

Rizzo, Jon; Bell, Alexandra

2018-05-09

A mental model is the collection of an individual's perceptions, values, and expectations about a particular aspect of their life, which strongly influences behaviors. This study explored orthopedic outpatients mental models of adherence to prescribed home exercise programs and how they related to mental models of adherence to other types of personal regimens. The study followed an interpretive description qualitative design. Data were collected via two semi-structured interviews. Interview One focused on participants prior experiences adhering to personal regimens. Interview Two focused on experiences adhering to their current prescribed home exercise program. Data analysis followed a constant comparative method. Findings revealed similarity in perceptions, values, and expectations that informed individuals mental models of adherence to personal regimens and prescribed home exercise programs. Perceived realized results, expected results, perceived social supports, and value of convenience characterized mental models of adherence. Parallels between mental models of adherence for prescribed home exercise and other personal regimens suggest that patients adherence behavior to prescribed routines may be influenced by adherence experiences in other aspects of their lives. By gaining insight into patients adherence experiences, values, and expectations across life domains, clinicians may tailor supports that enhance home exercise adherence. Implications for Rehabilitation A mental model is the collection of an individual's perceptions, values, and expectations about a particular aspect of their life, which is based on prior experiences and strongly influences behaviors. This study demonstrated similarity in orthopedic outpatients mental models of adherence to prescribed home exercise programs and adherence to personal regimens in other aspects of their lives. Physical therapists should inquire about patients non-medical adherence experiences, as strategies patients customarily use to adhere to other activities may inform strategies to promote prescribed home exercise adherence.

Utilization of Mental Health Services and Mental Health Status Among Children Placed in Out-of-Home Care: A Parallel Process Latent Growth Modeling Approach.

PubMed

Yampolskaya, Svetlana; Sharrock, Patty J; Clark, Colleen; Hanson, Ardis

2017-10-01

This longitudinal study examined the parallel trajectories of mental health service use and mental health status among children placed in Florida out-of-home care. The results of growth curve modeling suggested that children with greater mental health problems initially received more mental health services. Initial child mental health status, however, had no effect on subsequent service provision when all outpatient mental health services were included. When specific types of mental health services, such as basic outpatient, targeted case management, and intensive mental health services were examined, results suggested that children with compromised functioning during the baseline period received more intensive mental health services over time. However, this increased provision of intensive mental health services did not improve mental health status, rather it was significantly associated with progressively worse mental health functioning. These findings underscore the need for regular comprehensive mental health assessments focusing on specific needs of the child.

The role of visual and spatial working memory in forming mental models derived from survey and route descriptions.

PubMed

Meneghetti, Chiara; Labate, Enia; Pazzaglia, Francesca; Hamilton, Colin; Gyselinck, Valérie

2017-05-01

This study examines the involvement of spatial and visual working memory (WM) in the construction of flexible spatial models derived from survey and route descriptions. Sixty young adults listened to environment descriptions, 30 from a survey perspective and the other 30 from a route perspective, while they performed spatial (spatial tapping [ST]) and visual (dynamic visual noise [DVN]) secondary tasks - believed to overload the spatial and visual working memory (WM) components, respectively - or no secondary task (control, C). Their mental representations of the environment were tested by free recall and a verification test with both route and survey statements. Results showed that, for both recall tasks, accuracy was worse in the ST than in the C or DVN conditions. In the verification test, the effect of both ST and DVN was a decreasing accuracy for sentences testing spatial relations from the opposite perspective to the one learnt than if the perspective was the same; only ST had a stronger interference effect than the C condition for sentences from the opposite perspective from the one learnt. Overall, these findings indicate that both visual and spatial WM, and especially the latter, are involved in the construction of perspective-flexible spatial models. © 2016 The British Psychological Society.

Collaborative youth mental health service users, immigration, poverty, and family environment.

PubMed

Nadeau, Lucie; Lecompte, Vanessa; Johnson-Lafleur, Janique; Pontbriand, Annie; Rousseau, Cécile

2018-05-01

This article examines the association between immigration, poverty and family environment, and the emotional and behavioral problems reported by youth and their family receiving mental health (MH) services within a collaborative care model in a multiethnic neighborhood. Participants in this study were 140 parent-child dyads that are part of an ongoing longitudinal project looking at the association between individual, familial, social and organizational factors, and outcomes of youth receiving MH services in local health and social service organizations in the Montreal area. Measures included in this study were collected at the initial phase of the longitudinal project (Time 0). Parents completed a sociodemographic questionnaire and the Family Environment Scale (FES), and both parents and children completed the Strength and Difficulties questionnaire (SDQ). Results suggest that the family environment, especially family conflicts, has a significant role in the MH problems of children seeking help in collaborative MH services. In this specific population, results also show a trend, but not a statistically significant association, between poverty or immigration and emotional and behavioral problems. They suggest as well that boys show more MH problems, although this could be a contamination effect (parents' perspective). The results support the importance of interventions that not only target the child symptomatology but also address family dynamics, especially conflicts. Collaborative care models may be particularly well suited to allow for a coherent consideration of family environmental factors in youth mental health and to support primary care settings in addressing these issues.

The influence of instructional interactions on students’ mental models about the quantization of physical observables: a modern physics course case

NASA Astrophysics Data System (ADS)

Didiş Körhasan, Nilüfer; Eryılmaz, Ali; Erkoç, Şakir

2016-01-01

Mental models are coherently organized knowledge structures used to explain phenomena. They interact with social environments and evolve with the interaction. Lacking daily experience with phenomena, the social interaction gains much more importance. In this part of our multiphase study, we investigate how instructional interactions influenced students’ mental models about the quantization of physical observables. Class observations and interviews were analysed by studying students’ mental models constructed in a modern physics course during an academic semester. The research revealed that students’ mental models were influenced by (1) the manner of teaching, including instructional methodologies and content specific techniques used by the instructor, (2) order of the topics and familiarity with concepts, and (3) peers.

A Model of Mental State Transition Network

NASA Astrophysics Data System (ADS)

Xiang, Hua; Jiang, Peilin; Xiao, Shuang; Ren, Fuji; Kuroiwa, Shingo

Emotion is one of the most essential and basic attributes of human intelligence. Current AI (Artificial Intelligence) research is concentrating on physical components of emotion, rarely is it carried out from the view of psychology directly(1). Study on the model of artificial psychology is the first step in the development of human-computer interaction. As affective computing remains unpredictable, creating a reasonable mental model becomes the primary task for building a hybrid system. A pragmatic mental model is also the fundament of some key topics such as recognition and synthesis of emotions. In this paper a Mental State Transition Network Model(2) is proposed to detect human emotions. By a series of psychological experiments, we present a new way to predict coming human's emotions depending on the various current emotional states under various stimuli. Besides, people in different genders and characters are taken into consideration in our investigation. According to the psychological experiments data derived from 200 questionnaires, a Mental State Transition Network Model for describing the transitions in distribution among the emotions and relationships between internal mental situations and external are concluded. Further more the coefficients of the mental transition network model were achieved. Comparing seven relative evaluating experiments, an average precision rate of 0.843 is achieved using a set of samples for the proposed model.

Millennial Students' Mental Models of Information Retrieval

ERIC Educational Resources Information Center

Holman, Lucy

2009-01-01

This qualitative study examines first-year college students' online search habits in order to identify patterns in millennials' mental models of information retrieval. The study employed a combination of modified contextual inquiry and concept mapping methodologies to elicit students' mental models. The researcher confirmed previously observed…

Students' Mental Models of Atomic Spectra

ERIC Educational Resources Information Center

Körhasan, Nilüfer Didis; Wang, Lu

2016-01-01

Mental modeling, which is a theory about knowledge organization, has been recently studied by science educators to examine students' understanding of scientific concepts. This qualitative study investigates undergraduate students' mental models of atomic spectra. Nine second-year physics students, who have already taken the basic chemistry and…

Consumer-operated service program members' explanatory models of mental illness and recovery.

PubMed

Hoy, Janet M

2014-10-01

Incorporating individuals' understandings and explanations of mental illness into service delivery offers benefits relating to increased service relevance and meaning. Existing research delineates explanatory models of mental illness held by individuals in home, outpatient, and hospital-based contexts; research on models held by those in peer-support contexts is notably absent. In this article, I describe themes identified within and across explanatory models of mental illness and recovery held by mental health consumers (N = 24) at one peer center, referred to as a consumer-operated service center (COSP). Participants held explanatory models inclusive of both developmental stressors and biomedical causes, consistent with a stress-diathesis model (although no participant explicitly referenced such). Explicit incorporation of stress-diathesis constructs into programming at this COSP offers the potential of increasing service meaning and relevance. Identifying and incorporating shared meanings across individuals' understandings of mental illness likewise can increase relevance and meaning for particular subgroups of service users. © The Author(s) 2014.

Facilitating Understanding of Movements in Dynamic Visualizations: An Embodied Perspective

ERIC Educational Resources Information Center

de Koning, Bjorn B.; Tabbers, Huib K.

2011-01-01

Learners studying mechanical or technical processes via dynamic visualizations often fail to build an accurate mental representation of the system's movements. Based on embodied theories of cognition assuming that action, perception, and cognition are closely intertwined, this paper proposes that the learning effectiveness of dynamic…

Human resources and models of mental healthcare integration into primary and community care in India: Case studies of 72 programmes

PubMed Central

Maheedhariah, Meera S.; Ghani, Sarah; Raja, Anusha; Patel, Vikram

2017-01-01

Background Given the scarcity of specialist mental healthcare in India, diverse community mental healthcare models have evolved. This study explores and compares Indian models of mental healthcare delivered by primary-level workers (PHW), and health workers’ roles within these. We aim to describe current service delivery to identify feasible and acceptable models with potential for scaling up. Methods Seventy two programmes (governmental and non-governmental) across 12 states were visited. 246 PHWs, coordinators, leaders, specialists and other staff were interviewed to understand the programme structure, the model of mental health delivery and health workers’ roles. Data were analysed using framework analysis. Results Programmes were categorised using an existing framework of collaborative and non-collaborative models of primary mental healthcare. A new model was identified: the specialist community model, whereby PHWs are trained within specialist programmes to provide community support and treatment for those with severe mental disorders. Most collaborative and specialist community models used lay health workers rather than doctors. Both these models used care managers. PHWs and care managers received support often through multiple specialist and non-specialist organisations from voluntary and government sectors. Many projects still use a simple yet ineffective model of training without supervision (training and identification/referral models). Discussion and conclusion Indian models differ significantly to those in high-income countries—there are less professional PHWs used across all models. There is also intensive specialist involvement particularly in the community outreach and collaborative care models. Excessive reliance on specialists inhibits their scalability, though they may be useful in targeted interventions for severe mental disorders. We propose a revised framework of models based on our findings. The current priorities are to evaluate the comparative effectiveness, cost-effectiveness and scalability of these models in resource-limited settings both in India and in other low- and middle- income countries. PMID:28582445

Beyond attributions: Understanding public stigma of mental illness with the common sense model.

PubMed

Mak, Winnie W S; Chong, Eddie S K; Wong, Celia C Y

2014-03-01

The present study applied the common sense model (i.e., cause, controllability, timeline, consequences, and illness coherence) to understand public attitudes toward mental illness and help-seeking intention and to examine the mediating role of perceived controllability between causal attributions with public attitudes and help seeking. Based on a randomized household sample of 941 Chinese community adults in Hong Kong, results of the structural equation modeling demonstrated that people who endorsed cultural lay beliefs tended to perceive the course of mental illness as less controllable, whereas those with psychosocial attributions see its course as more controllable. The more people perceived the course of mental illness as less controllable, more chronic, and incomprehensible, the lower was their acceptance and the greater was mental illness stigma. Furthermore, those who perceived mental illness with dire consequences were more likely to feel greater stigma and social distance. Conversely, when people were more accepting, they were more likely to seek help for psychological services and felt a shorter social distance. The common sense model provides a multidimensional framework in understanding public's mental illness perceptions and stigma. Not only should biopsychosocial determinants of mental illness be advocated to the public, cultural myths toward mental illness must be debunked.

Mental Models: A Robust Definition

ERIC Educational Resources Information Center

Rook, Laura

2013-01-01

Purpose: The concept of a mental model has been described by theorists from diverse disciplines. The purpose of this paper is to offer a robust definition of an individual mental model for use in organisational management. Design/methodology/approach: The approach adopted involves an interdisciplinary literature review of disciplines, including…

A Cognitive Processing Account of Individual Differences in Novice Logo Programmers' Conceptualisation and Use of Recursion.

ERIC Educational Resources Information Center

Gibbons, Pamela

1995-01-01

Describes a study that investigated individual differences in the construction of mental models of recursion in LOGO programming. The learning process was investigated from the perspective of Norman's mental models theory and employed diSessa's ontology regarding distributed, functional, and surrogate mental models, and the Luria model of brain…

An empirical analysis of executive behaviour with hospital executive information systems in Taiwan.

PubMed

Huang, Wei-Min

2013-01-01

Existing health information systems largely only support the daily operations of a medical centre, and are unable to generate the information required by executives for decision-making. Building on past research concerning information retrieval behaviour and learning through mental models, this study examines the use of information systems by hospital executives in medical centres. It uses a structural equation model to help find ways hospital executives might use information systems more effectively. The results show that computer self-efficacy directly affects the maintenance of mental models, and that system characteristics directly impact learning styles and information retrieval behaviour. Other results include the significant impact of perceived environmental uncertainty on scan searches; information retrieval behaviour and focused searches on mental models and perceived efficiency; scan searches on mental model building; learning styles and model building on perceived efficiency; and finally the impact of mental model maintenance on perceived efficiency and effectiveness.

Towards a National Mental Retardation Manpower Model for Canada.

ERIC Educational Resources Information Center

Linton, Thomas E.

The stated need for developing a national mental retardation manpower model for Canada is not the manpower shortages in mental retardation, but the unsound conceptual and functional approaches to the socialization and education of the mentally retarded. The report is divided into the four major areas investigated by a task force. First, the…

Tidal waves: Implementing a new model of mental health recovery and reclamation.

PubMed

Brookes, Nancy; Murata, Lisa; Tansey, Margaret

2008-10-01

The Royal Ottawa Mental Health Centre was the first North American site to implement the Tidal Model of Mental Health Recovery and Reclamation. This empowering approach to practice focuses on learning persons' stories as the key to practising person-centred nursing. The authors, who constituted the Tidal implementation team at ROMHC, describe the journey to excellence in psychiatric and mental health nursing practice following the introduction of the model.

Bringing Wellness to Schools: Opportunities and Challenges to Mental Health Integration in School Health Centers

PubMed Central

Lai, Karen; Guo, Sisi; Ijadi-Maghsoodi, Roya; Puffer, Maryjane; Kataoka, Sheryl H.

2016-01-01

Objective School-based health centers (SBHCs) reduce mental health access-to-care barriers and improve educational outcomes for youth. This qualitative study evaluates the innovations and challenges of a unique network of SBHCs in a large, urban school district, as they attempt to integrate health, mental health, and educational services. Methods The 43 participants sampled included mental health providers, primary care providers, and care coordinators at 14 SBHCs. Semi-structured interviews with each participant were audio-recorded and transcribed. Themes were identified and coded using Atlas.ti 5.1, and collapsed into three domains: Operations, Partnership, and Engagement. Results Interviews revealed provider models ranging from single agencies offering both health and mental health services to co-located services. Sites with the Health Agency providing at least some mental health services reported more mental health screenings. Many sites utilized SBHC coordinators and coordination team meetings to facilitate relationships between schools and Health Agency and Community Mental Health Clinic providers. Partnership challenges included confidentiality policies and staff turnover. Participants also highlighted student and parent engagement, through culturally sensitive services, peer health advocates, and “drop-in” lunches. Conclusions Staffing and operational models are critical in the success of health-mental health-education integration. Among the provider models observed, the combined health and mental health provider model offered the most integrated services. Despite barriers, providers and schools have begun to implement novel solutions for operational problems and family engagement in mental health services. Implications for future SBHCs as an integrated model are described. PMID:27417895

Mental workload prediction based on attentional resource allocation and information processing.

PubMed

Xiao, Xu; Wanyan, Xiaoru; Zhuang, Damin

2015-01-01

Mental workload is an important component in complex human-machine systems. The limited applicability of empirical workload measures produces the need for workload modeling and prediction methods. In the present study, a mental workload prediction model is built on the basis of attentional resource allocation and information processing to ensure pilots' accuracy and speed in understanding large amounts of flight information on the cockpit display interface. Validation with an empirical study of an abnormal attitude recovery task showed that this model's prediction of mental workload highly correlated with experimental results. This mental workload prediction model provides a new tool for optimizing human factors interface design and reducing human errors.

Mental health status and healthcare utilization among community dwelling older adults.

PubMed

Adepoju, Omolola; Lin, Szu-Hsuan; Mileski, Michael; Kruse, Clemens Scott; Mask, Andrew

2018-04-27

Shifts in mental health utilization patterns are necessary to allow for meaningful access to care for vulnerable populations. There have been long standing issues in how mental health is provided, which has caused problems in that care being efficacious for those seeking it. To assess the relationship between mental health status and healthcare utilization among adults ≥65 years. A negative binomial regression model was used to assess the relationship between mental health status and healthcare utilization related to office-based physician visits, while a two-part model, consisting of logistic regression and negative binomial regression, was used to separately model emergency visits and inpatient services. The receipt of care in office-based settings were marginally higher for subjects with mental health difficulties. Both probabilities and counts of inpatient hospitalizations were similar across mental health categories. The count of ER visits was similar across mental health categories; however, the probability of having an emergency department visit was marginally higher for older adults who reported mental health difficulties in 2012. These findings are encouraging and lend promise to the recent initiatives on addressing gaps in mental healthcare services.

Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness.

PubMed

Mangurian, Christina; Niu, Grace C; Schillinger, Dean; Newcomer, John W; Dilley, James; Handley, Margaret A

2017-11-14

Individuals with severe mental illness (e.g., schizophrenia, bipolar disorder) die 10-25 years earlier than the general population, primarily from premature cardiovascular disease (CVD). Contributing factors are complex, but include systemic-related factors of poorly integrated primary care and mental health services. Although evidence-based models exist for integrating mental health care into primary care settings, the evidence base for integrating medical care into specialty mental health settings is limited. Such models are referred to as "reverse" integration. In this paper, we describe the application of an implementation science framework in designing a model to improve CVD outcomes for individuals with severe mental illness (SMI) who receive services in a community mental health setting. Using principles from the theory of planned behavior, focus groups were conducted to understand stakeholder perspectives of barriers to CVD risk factor screening and treatment identify potential target behaviors. We then applied results to the overarching Behavior Change Wheel framework, a systematic and theory-driven approach that incorporates the COM-B model (capability, opportunity, motivation, and behavior), to build an intervention to improve CVD risk factor screening and treatment for people with SMI. Following a stepped approach from the Behavior Change Wheel framework, a model to deliver primary preventive care for people that use community mental health settings as their de facto health home was developed. The CRANIUM (cardiometabolic risk assessment and treatment through a novel integration model for underserved populations with mental illness) model focuses on engaging community psychiatrists to expand their scope of practice to become responsible for CVD risk, with significant clinical decision support. The CRANIUM model was designed by integrating behavioral change theory and implementation theory. CRANIUM is feasible to implement, is highly acceptable to, and targets provider behavior change, and is replicable and efficient for helping to integrate primary preventive care services in community mental health settings. CRANIUM can be scaled up to increase CVD preventive care delivery and ultimately improve health outcomes among people with SMI served within a public mental health care system.

Comprehending expository texts: the dynamic neurobiological correlates of building a coherent text representation

PubMed Central

Swett, Katherine; Miller, Amanda C.; Burns, Scott; Hoeft, Fumiko; Davis, Nicole; Petrill, Stephen A.; Cutting, Laurie E.

2013-01-01

Little is known about the neural correlates of expository text comprehension. In this study, we sought to identify neural networks underlying expository text comprehension, how those networks change over the course of comprehension, and whether information central to the overall meaning of the text is functionally distinct from peripheral information. Seventeen adult subjects read expository passages while being scanned using functional magnetic resonance imaging (fMRI). By convolving phrase onsets with the hemodynamic response function (HRF), we were able to identify regions that increase and decrease in activation over the course of passage comprehension. We found that expository text comprehension relies on the co-activation of the semantic control network and regions in the posterior midline previously associated with mental model updating and integration [posterior cingulate cortex (PCC) and precuneus (PCU)]. When compared to single word comprehension, left PCC and left Angular Gyrus (AG) were activated only for discourse-level comprehension. Over the course of comprehension, reliance on the same regions in the semantic control network increased, while a parietal region associated with attention [intraparietal sulcus (IPS)] decreased. These results parallel previous findings in narrative comprehension that the initial stages of mental model building require greater visuospatial attention processes, while maintenance of the model increasingly relies on semantic integration regions. Additionally, we used an event-related analysis to examine phrases central to the text's overall meaning vs. peripheral phrases. It was found that central ideas are functionally distinct from peripheral ideas, showing greater activation in the PCC and PCU, while over the course of passage comprehension, central and peripheral ideas increasingly recruit different parts of the semantic control network. The finding that central information elicits greater response in mental model updating regions than peripheral ideas supports previous behavioral models on the cognitive importance of distinguishing textual centrality. PMID:24376411

Learning how the electron transport chain works: independent and interactive effects of instructional strategies and learners' characteristics.

PubMed

Darabi, Aubteen; Arrastia-Lloyd, Meagan C; Nelson, David W; Liang, Xinya; Farrell, Jennifer

2015-12-01

In order to develop an expert-like mental model of complex systems, causal reasoning is essential. This study examines the differences between forward and backward instructional strategies' in terms of efficiency, students' learning and progression of their mental models of the electronic transport chain in an undergraduate metabolism course (n = 151). Additionally, the participants' cognitive flexibility, prior knowledge, and mental effort in the learning process are also investigated. The data were analyzed using a series of general linear models to compare the strategies. Although the two strategies did not differ significantly in terms of mental model progression and learning outcomes, both groups' mental models progressed significantly. Mental effort and prior knowledge were identified as significant predictors of mental model progression. An interaction between instructional strategy and cognitive flexibility revealed that the backward instruction was more efficient than the conventional (forward) strategy for students with lower cognitive flexibility, whereas the conventional instruction was more efficient for students with higher cognitive flexibility. The results are discussed and suggestions for future research on the possible moderating role of cognitive flexibility in the area of health education are presented.

Mental models: a basic concept for human factors design in infection prevention.

PubMed

Sax, H; Clack, L

2015-04-01

Much of the effort devoted to promoting better hand hygiene is based on the belief that poor hand hygiene reflects poor motivation. We argue, however, that automatic unconscious behaviour driven by 'mental models' is an important contributor to what actually happens. Mental models are concepts of reality--imaginary, often blurred, and sometimes unstable. Human beings use them to reduce mental load and free up capacity in the conscious mind to focus on deliberate activities. They are pragmatic solutions to the complexity of life. Knowledge of such mental processes helps healthcare designers and clinicians overcome barriers to behavioural change. This article reviews the concept of mental models and considers how it can be used to improve hand hygiene and patient safety. Copyright © 2015 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.

Mental health of primary caregivers for children and adolescents with HIV/AIDS in Cuba.

PubMed

Santiesteban, Yasel; Castro, Marta; Calvo, Marina

2012-04-01

An HIV diagnosis, like that of any another chronic illness, alters family dynamics. Although the whole family is affected, usually only one member is the primary caregiver of the sick person. Children and adolescents with HIV/AIDS need care according to their physical, psychological and social needs, requiring responsible caregivers who maintain adequate physical and mental health. To describe general mental health characteristics of primary caregivers of Cuban children and adolescents from across the country diagnosed with HIV/AIDS at the Pedro Kourí Tropical Medicine Institute. A descriptive study was carried out from November 2009 through March 2010. Twenty-six caregivers met inclusion criteria and 13 participated. A psychological assessment was made of each caregiver's mental health, including both externally evaluated and self reported factors associated with physical or psychological problems. Clinical interview and observation, psychiatric examination and various psychological tests were used. A simple descriptive analysis of caregiver characteristics, qualitative information and test results was made. Most caregivers were women, infected with HIV/AIDS themselves, unemployed and without a partner. They presented symptoms of anxiety but no clinical psychiatric diagnoses. The study group reported dissatisfaction with family functioning and partner relationships, as well as problems related to HIV and poor employment prospects. Caregivers studied described complex intra- and interpersonal life dynamics influenced by their HIV infection. Their mental health status, evaluated through a combination of objective and subjective factors reveals a complex reality, indicating the need for a more comprehensive and efficient approach to caregivers' health care, integrating attention to both physical and mental health.

Exploring the underlying structure of mental disorders: cross-diagnostic differences and similarities from a network perspective using both a top-down and a bottom-up approach.

PubMed

Wigman, J T W; van Os, J; Borsboom, D; Wardenaar, K J; Epskamp, S; Klippel, A; Viechtbauer, W; Myin-Germeys, I; Wichers, M

2015-08-01

It has been suggested that the structure of psychopathology is best described as a complex network of components that interact in dynamic ways. The goal of the present paper was to examine the concept of psychopathology from a network perspective, combining complementary top-down and bottom-up approaches using momentary assessment techniques. A pooled Experience Sampling Method (ESM) dataset of three groups (individuals with a diagnosis of depression, psychotic disorder or no diagnosis) was used (pooled N = 599). The top-down approach explored the network structure of mental states across different diagnostic categories. For this purpose, networks of five momentary mental states ('cheerful', 'content', 'down', 'insecure' and 'suspicious') were compared between the three groups. The complementary bottom-up approach used principal component analysis to explore whether empirically derived network structures yield meaningful higher order clusters. Individuals with a clinical diagnosis had more strongly connected moment-to-moment network structures, especially the depressed group. This group also showed more interconnections specifically between positive and negative mental states than the psychotic group. In the bottom-up approach, all possible connections between mental states were clustered into seven main components that together captured the main characteristics of the network dynamics. Our combination of (i) comparing network structure of mental states across three diagnostically different groups and (ii) searching for trans-diagnostic network components across all pooled individuals showed that these two approaches yield different, complementary perspectives in the field of psychopathology. The network paradigm therefore may be useful to map transdiagnostic processes.

[The role of families in the Quebec mental health system].

PubMed

Bonin, Jean-Pierre; Chicoine, Gabrielle; Fradet, Hélène; Larue, Caroline; Racine, Hélène; Jacques, Marie-Claude; St-Cyr Tribble, Denise

2014-01-01

Purpose. This paper aims to summarize the current situation regarding the role of families of persons with mental disorders within the mental health system in Quebec.Methods. We made a research in the most recent and pertinent papers or books regarding: 1) the history of the family involvement in the mental health system in Quebec; 2) the present situation of these families and the models that we can see and 3) identify in recent governmental or research documents recommendations regarding a greater empowerment of the families in the mental health system.Results. The research provides a historical perspective to the roles occupied by families. First the family was described as a causal agent; the work of the psychoanalyst Freud described the family unit as a source of conflicts in the areas of affect and sexual dynamics, and which results in the appearance of psychiatric symptoms. Later, this view of a causal agent came both from the point of view of genetic and from expressed emotions. In the 70's new perspectives such as general systems theory (von Bertalanffy, 1968), described the family as responsive to mental disorder of one of its members rather than a responsible agent. With the deinstitutionalization movement, the family was perceived as a source of solutions for persons with mental illness, but also as persons who can live some burden. This subject became well described and a several studies reported about adverse effects of caring for a person with mental disorder on the health, well-being and feeling of caregiver burden. In the 90's, some government action plans called for the relationship between the family and the health system as a partnership. Also, families want to be involved in decisions about care and to be informed about the diagnosis and treatment options. ( Lefley et Wasow, 1993)A new model developed by FFAPAMM that identifies three main roles enables to contextualize the current role in the current system. This model, called CAP lists and describes three roles of families that, if they are dependent on the past, continue to mingle in our time. These roles are:Accompanist: the role imposed by being near a person with mental illness (Fradet, 2012). As an accompanist, the family needs to establish relationships with health professionals. Accompanists want to be considered by stakeholders and be respected in their desire to share information and participate in decisions.Client: this is the role that derives from the accompanist when the caregiver receives care services for its psychological or physical problems related to the fact support a sick person.Partner: it is relative to the involvement (or not) the role of family members in the organization of care. It is a role of participation and decision-making. In this context, we also speak of participation in the consultation mechanisms.Recommendations from a Quebec research project and a report of the Commission on Mental Health of Canada will consider a future where the needs and aspirations of families will be taken into account in mental health general services, short term health care, community mental health services. There are also some guidelines regarding education for professionals about the needs of families and about changing politics.Conclusion. There exists in all associations of families of person with mental disorders, training on topics such as how to behave towards different mental disorders or aggressiveness near reached. A project of the Douglas Institute has hired a family member to the emergency room to help families better manage this often difficult time and to facilitate communication with stakeholders. Another project called "Learning to come closer without aggression" has helped more than 200 family members undergo training inspired by the Omega approach, which helps them better manage their own behavior in situations of aggression with their loved one.

Sigh rate and respiratory variability during mental load and sustained attention.

PubMed

Vlemincx, Elke; Taelman, Joachim; De Peuter, Steven; Van Diest, Ilse; Van den Bergh, Omer

2011-01-01

Spontaneous breathing consists of substantial correlated variability: Parameters characterizing a breath are correlated with parameters characterizing previous and future breaths. On the basis of dynamic system theory, negative emotion states are predicted to reduce correlated variability whereas sustained attention is expected to reduce total respiratory variability. Both are predicted to evoke sighing. To test this, respiratory variability and sighing were assessed during a baseline, stressful mental arithmetic task, nonstressful sustained attention task, and recovery in between tasks. For respiration rate (excluding sighs), reduced total variability was found during the attention task, whereas correlated variation was reduced during mental load. Sigh rate increased during mental load and during recovery from the attention task. It is concluded that mental load and task-related attention show specific patterns in respiratory variability and sigh rate. Copyright © 2010 Society for Psychophysiological Research.

Examination of the association between mental health, morbidity, and mortality in late life: findings from longitudinal community surveys.

PubMed

Burns, Richard A; Butterworth, Peter; Browning, Colette; Byles, Julie; Luszcz, Mary; Mitchell, Paul; Shaw, Jonathan; Anstey, Kaarin J

2015-05-01

Physical health has been demonstrated to mediate the mental health and mortality risk association. The current study examines an alternative hypothesis that mental health mediates the effect of physical health on mortality risk. Participants (N = 14,019; women = 91%), including eventual decedents (n = 3,752), were aged 70 years and older, and drawn from the Dynamic Analyses to Optimise Ageing (DYNOPTA) project. Participants were observed on two to four occasions, over a 10-year period. Mediation analysis compared the converse mediation of physical and mental health on mortality risk. For men, neither physical nor mental health was associated with mortality risk. For women, poor mental health reported only a small effect on mortality risk (Hazard Risk (HR) = 1.01; p < 0.001); more substantive was the risk of low physical health (HR = 1.04; p < 0.001). No mediation effects were observed. Mental health effects on mortality were fully attenuated by physical health in men, and partially so in women. Neither mental nor physical health mediated the effect of each other on mortality risk for either gender. We conclude that physical health is a stronger predictor of mortality risk than mental health.

Spatial and Climate Literacy: Connecting Urban and Rural Students

NASA Astrophysics Data System (ADS)

Boger, R. A.; Low, R.; Mandryk, C.; Gorokhovich, Y.

2013-12-01

Through a collaboration between the University of Nebraska-Lincoln (UNL), Brooklyn College, and Lehman College, four independent but linked modules were developed and piloted in courses offered at Brooklyn College and UNL simultaneously. Module content includes climate change science and literacy principles, using geospatial technologies (GIS, GPS and remote sensing) as a vehicle to explore issues associated with global, regional, and local climate change in a concrete, quantitative and visual way using Internet resources available through NASA, NOAA, USGS, and a variety of universities and organizations. The materials take an Earth system approach and incorporate sustainability, resilience, water and watersheds, weather and climate, and food security topics throughout the semester. The research component of the project focuses on understanding the role of spatial literacy and authentic inquiry based experiences in climate change understanding and improving confidence in teaching science. In particular, engaging learners in both climate change science and GIS simultaneously provides opportunities to examine questions about the role that data manipulation, mental representation, and spatial literacy plays in students' abilities to understand the consequences and impacts of climate change. Pre and post surveys were designed to discern relationships between spatial cognitive processes and effective acquisition of climate change science concepts in virtual learning environments as well as alignment of teacher's mental models of nature of science and climate system dynamics to scientific models. The courses will again be offered simultaneously in Spring 2014 at Brooklyn College and UNL. Evaluation research will continue to examine the connections between spatial and climate literacy and teacher's mental models (via qualitative textual analysis using MAXQDA text analysis, and UCINET social network analysis programs) as well as how urban-rural learning interactions may influence climate literacy.

Cerebellum, temporal predictability and the updating of a mental model.

PubMed

Kotz, Sonja A; Stockert, Anika; Schwartze, Michael

2014-12-19

We live in a dynamic and changing environment, which necessitates that we adapt to and efficiently respond to changes of stimulus form ('what') and stimulus occurrence ('when'). Consequently, behaviour is optimal when we can anticipate both the 'what' and 'when' dimensions of a stimulus. For example, to perceive a temporally expected stimulus, a listener needs to establish a fairly precise internal representation of its external temporal structure, a function ascribed to classical sensorimotor areas such as the cerebellum. Here we investigated how patients with cerebellar lesions and healthy matched controls exploit temporal regularity during auditory deviance processing. We expected modulations of the N2b and P3b components of the event-related potential in response to deviant tones, and also a stronger P3b response when deviant tones are embedded in temporally regular compared to irregular tone sequences. We further tested to what degree structural damage to the cerebellar temporal processing system affects the N2b and P3b responses associated with voluntary attention to change detection and the predictive adaptation of a mental model of the environment, respectively. Results revealed that healthy controls and cerebellar patients display an increased N2b response to deviant tones independent of temporal context. However, while healthy controls showed the expected enhanced P3b response to deviant tones in temporally regular sequences, the P3b response in cerebellar patients was significantly smaller in these sequences. The current data provide evidence that structural damage to the cerebellum affects the predictive adaptation to the temporal structure of events and the updating of a mental model of the environment under voluntary attention. © 2014 The Author(s) Published by the Royal Society. All rights reserved.

Cerebellum, temporal predictability and the updating of a mental model

PubMed Central

Kotz, Sonja A.; Stockert, Anika; Schwartze, Michael

2014-01-01

We live in a dynamic and changing environment, which necessitates that we adapt to and efficiently respond to changes of stimulus form (‘what’) and stimulus occurrence (‘when’). Consequently, behaviour is optimal when we can anticipate both the ‘what’ and ‘when’ dimensions of a stimulus. For example, to perceive a temporally expected stimulus, a listener needs to establish a fairly precise internal representation of its external temporal structure, a function ascribed to classical sensorimotor areas such as the cerebellum. Here we investigated how patients with cerebellar lesions and healthy matched controls exploit temporal regularity during auditory deviance processing. We expected modulations of the N2b and P3b components of the event-related potential in response to deviant tones, and also a stronger P3b response when deviant tones are embedded in temporally regular compared to irregular tone sequences. We further tested to what degree structural damage to the cerebellar temporal processing system affects the N2b and P3b responses associated with voluntary attention to change detection and the predictive adaptation of a mental model of the environment, respectively. Results revealed that healthy controls and cerebellar patients display an increased N2b response to deviant tones independent of temporal context. However, while healthy controls showed the expected enhanced P3b response to deviant tones in temporally regular sequences, the P3b response in cerebellar patients was significantly smaller in these sequences. The current data provide evidence that structural damage to the cerebellum affects the predictive adaptation to the temporal structure of events and the updating of a mental model of the environment under voluntary attention. PMID:25385781

Team Learning: Building Shared Mental Models

ERIC Educational Resources Information Center

Van den Bossche, Piet; Gijselaers, Wim; Segers, Mien; Woltjer, Geert; Kirschner, Paul

2011-01-01

To gain insight in the social processes that underlie knowledge sharing in teams, this article questions which team learning behaviors lead to the construction of a shared mental model. Additionally, it explores how the development of shared mental models mediates the relation between team learning behaviors and team effectiveness. Analyses were…

The Learners' Mental Models of Television in Mathematics.

ERIC Educational Resources Information Center

Sumalee, Chaijaroen

1999-01-01

Examines the learners' mental models of television in actual media classroom activity by which knowledge was constructed. Findings revealed how media capabilities and the instructional designs that employ them interact with the learners and the task characteristics to influence the formation of the learners' mental models and their learning…

Students' Mental Models of the Environment

ERIC Educational Resources Information Center

Shepardson, Daniel P.; Wee, Bryan; Priddy, Michelle; Harbor, Jon

2007-01-01

What are students' mental models of the environment? In what ways, if any, do students' mental models vary by grade level or community setting? These two questions guided the research reported in this article. The Environments Task was administered to students from 25 different teacher-classrooms. The student responses were first inductively…

Comparison of Two Analysis Approaches for Measuring Externalized Mental Models

ERIC Educational Resources Information Center

Al-Diban, Sabine; Ifenthaler, Dirk

2011-01-01

Mental models are basic cognitive constructs that are central for understanding phenomena of the world and predicting future events. Our comparison of two analysis approaches, SMD and QFCA, for measuring externalized mental models reveals different levels of abstraction and different perspectives. The advantages of the SMD include possibilities…

Effects of Scenario Planning on Participant Mental Models

ERIC Educational Resources Information Center

Glick, Margaret B.; Chermack, Thomas J.; Luckel, Henry; Gauck, Brian Q.

2012-01-01

Purpose: The purpose of this paper is to assess the effects of scenario planning on participant mental model styles. Design/methodology/approach: The scenario planning literature is consistent with claims that scenario planning can change individual mental models. These claims are supported by anecdotal evidence and stories from the practical…

Research in Mental Health: Social Etiology versus Social Consequences

ERIC Educational Resources Information Center

Aneshensel, Carol S.

2005-01-01

This article differentiates a social etiology model focused on identifying the social antecedents of one particular mental disorder from a social consequences model concerned with the overall mental health consequences of various social arrangements. In the social etiology model, people with disorders other than the one particular disorder singled…

Not of one mind: mental models of clinical practice guidelines in the Veterans Health Administration.

PubMed

Hysong, Sylvia J; Best, Richard G; Pugh, Jacqueline A; Moore, Frank I

2005-06-01

The purpose of this paper is to present differences in mental models of clinical practice guidelines (CPGs) among 15 Veterans Health Administration (VHA) facilities throughout the United States. Two hundred and forty-four employees from 15 different VHA facilities across four service networks around the country were invited to participate. Participants were selected from different levels throughout each service setting from primary care personnel to facility leadership. This qualitative study used purposive sampling, a semistructured interview process for data collection, and grounded theory techniques for analysis. A semistructured interview was used to collect information on participants' mental models of CPGs, as well as implementation strategies and barriers in their facility. Analysis of these interviews using grounded theory techniques indicated that there was wide variability in employees' mental models of CPGs. Findings also indicated that high-performing facilities exhibited both (a) a clear, focused shared mental model of guidelines and (b) a tendency to use performance feedback as a learning opportunity, thus suggesting that a shared mental model is a necessary but not sufficient step toward successful guideline implementation. We conclude that a clear shared mental model of guidelines, in combination with a learning orientation toward feedback are important components for successful guideline implementation and improved quality of care.

Precise measurement of instantaneous volume of eccrine sweat gland in mental sweating by optical coherence tomography

NASA Astrophysics Data System (ADS)

Sugawa, Yoshihiko; Fukuda, Akihiro; Ohmi, Masato

2015-03-01

We have demonstrated dynamic analysis of the physiological function of eccrine sweat glands underneath skin surface by optical coherence tomography (OCT). We propose a method for extraction of the target eccrine sweat gland by use of the connected component extraction process and the adaptive threshold method, where the en-face OCT images are constructed by the SS-OCT. Furthermore, we demonstrate precise measurement of instantaneous volume of the sweat gland in response to the external stimulus. The dynamic change of instantaneous volume of eccrine sweat gland in mental sweating is performed by this method during the period of 300 sec with the frame intervals of 3.23 sec.

Animal-assisted dyadic therapy: A therapy model promoting development of the reflective function in the parent-child bond.

PubMed

Shani, Liat

2017-01-01

Animal-assisted psychotherapy (AAP) inherently incorporates standpoints, interventions, and ways of action promoting the development of the reflective function and mentalization, and thus has special value for parent-child psychotherapy. Two central tools in AAP contribute to this process. The first is the ethical stance of the therapist, who sees the animals as full partners in the therapy situation, respecting them as subjects with needs, desires, and thoughts of their own. The second tool combines nonverbal communication with animals together with the relating, in the here and now, to the understanding and decoding of body language of everyone in the setting. Nonverbal communication in AAP enables access to implicit communication patterns occurring between parent and child. This article provides a survey of theoretical development and research constituting a basis for the development of therapeutic approaches for the improvement of parent-children dynamics, followed by a description of a dyadic therapy model of a mentalization-based treatment originating from a psychoanalytic-relational orientation. Clinical examples are provided to illustrate AAP processes in parent-child psychotherapy (consent was received for examples that were not aggregated).

Disability acquisition and mental health: effect modification by demographic and socioeconomic characteristics using data from an Australian longitudinal study.

PubMed

Aitken, Zoe; Simpson, Julie Anne; Bentley, Rebecca; Kavanagh, Anne Marie

2017-09-18

There is evidence of a causal relationship between disability acquisition and poor mental health, but the substantial heterogeneity in the magnitude of the effect is poorly understood and may be aetiologically informative. This study aimed to identify demographic and socioeconomic factors that modify the effect of disability acquisition on mental health. The Household, Income and Labour Dynamics in Australia Survey is a nationally representative longitudinal survey of Australian households that has been conducted annually since 2001. Four waves of data were included in this analysis, from 2011 to 2014. Individuals who acquired a disability (n=387) were compared with those who remained disability-free in all four waves (n=7936). Mental health was measured using the mental health subscale of the Short Form 36 (SF-36) general health questionnaire, which measures symptoms of depression, anxiety and psychological well-being. Linear regression models were fitted to estimate the effect of disability acquisition on mental health, testing for effect modification by key demographic and socioeconomic characteristics. To maximise causal inference, we used a propensity score approach with inverse probability of treatment weighting to control for confounding and multiple imputation using chained equations to assess the impact of missing data. On average, disability acquisition was associated with a 5-point decline in mental health score (estimated mean difference: -5.1, 95% CI -7.2 to -3.0). There was strong evidence that income and relationship status modified the effect, with more detrimental effects in the lowest (-12.5, 95% CI -18.5 to -6.5) compared with highest income quintile (-1.1, 95% CI -4.9 to 2.7) and for people not in a relationship (-8.8, 95% CI -12.9 to -4.8) compared with those who were (-3.7, 95% CI -6.1 to -1.4). Our results suggest that the detrimental effect of disability acquisition on mental health is substantially greater for socioeconomic disadvantaged individuals. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

A cognitive approach to game usability and design: mental model development in novice real-time strategy gamers.

PubMed

Graham, John; Zheng, Liya; Gonzalez, Cleotilde

2006-06-01

We developed a technique to observe and characterize a novice real-time-strategy (RTS) player's mental model as it shifts with experience. We then tested this technique using an off-the-shelf RTS game, EA Games Generals. Norman defined mental models as, "an internal representation of a target system that provides predictive and explanatory power to the operator." In the case of RTS games, the operator is the player and the target system is expressed by the relationships within the game. We studied five novice participants in laboratory-controlled conditions playing a RTS game. They played Command and Conquer Generals for 2 h per day over the course of 5 days. A mental model analysis was generated using player dissimilarity-ratings of the game's artificial intelligence (AI) agents analyzed using multidimensional scaling (MDS) statistical methods. We hypothesized that novices would begin with an impoverished model based on the visible physical characteristics of the game system. As they gained experience and insight, their mental models would shift and accommodate the functional characteristics of the AI agents. We found that all five of the novice participants began with the predicted physical-based mental model. However, while their models did qualitatively shift with experience, they did not necessarily change to the predicted functional-based model. This research presents an opportunity for the design of games that are guided by shifts in a player's mental model as opposed to the typical progression through successive performance levels.

Is the mental wellbeing of young Australians best represented by a single, multidimensional or bifactor model?

PubMed

Hides, Leanne; Quinn, Catherine; Stoyanov, Stoyan; Cockshaw, Wendell; Mitchell, Tegan; Kavanagh, David J

2016-07-30

Internationally there is a growing interest in the mental wellbeing of young people. However, it is unclear whether mental wellbeing is best conceptualized as a general wellbeing factor or a multidimensional construct. This paper investigated whether mental wellbeing, measured by the Mental Health Continuum-Short Form (MHC-SF), is best represented by: (1) a single-factor general model; (2) a three-factor multidimensional model or (3) a combination of both (bifactor model). 2220 young Australians aged between 16 and 25 years completed an online survey including the MHC-SF and a range of other wellbeing and mental ill-health measures. Exploratory factor analysis supported a bifactor solution, comprised of a general wellbeing factor, and specific group factors of psychological, social and emotional wellbeing. Confirmatory factor analysis indicated that the bifactor model had a better fit than competing single and three-factor models. The MHC-SF total score was more strongly associated with other wellbeing and mental ill-health measures than the social, emotional or psychological subscale scores. Findings indicate that the mental wellbeing of young people is best conceptualized as an overarching latent construct (general wellbeing) to which emotional, social and psychological domains contribute. The MHC-SF total score is a valid and reliable measure of this general wellbeing factor. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Human Cognition and Performance.

DTIC Science & Technology

1985-05-01

implications. In D. LaBerge & S. J. Samuels (Eds.), Basic processes in reading: Perception and comprehesion. Hillsdale, NJ: Eribaum. Anderson, J. A...Also pub- lished individually as follows: Some observations on mental models, in D. Gentner and A. Stevens (Eds.), Mental models, Hillsdale, NJ: Erlbaum...A. Stevens (Eds.), Mental Models. Hillsdale, NJ: Erlbaunm. Norman, D.A. (1983). Theories and models in cognitive psychology. In E. Douclkin (Ed

The Development of Students' Mental Models of Chemical Substances and Processes at the Molecular Level

NASA Astrophysics Data System (ADS)

Dalton, Rebecca Marie

The development of student's mental models of chemical substances and processes at the molecular level was studied in a three-phase project. Animations produced in the VisChem project were used as an integral part of the chemistry instruction to help students develop their mental models. Phase one of the project involved examining the effectiveness of using animations to help first-year university chemistry students develop useful mental models of chemical phenomena. Phase two explored factors affecting the development of student's mental models, analysing results in terms of a proposed model of the perceptual processes involved in interpreting an animation. Phase three involved four case studies that served to confirm and elaborate on the effects of prior knowledge and disembedding ability on student's mental model development, and support the influence of study style on learning outcomes. Recommendations for use of the VisChem animations, based on the above findings, include: considering the prior knowledge of students; focusing attention on relevant features; encouraging a deep approach to learning; using animation to teach visual concepts; presenting ideas visually, verbally and conceptually; establishing 'animation literacy'; minimising cognitive load; using animation as feedback; using student drawings; repeating animations; and discussing 'scientific modelling'.

A Quantum-Like View to a Generalized Two Players Game

NASA Astrophysics Data System (ADS)

Bagarello, F.

2015-10-01

This paper consider the possibility of using some quantum tools in decision making strategies. In particular, we consider here a dynamical open quantum system helping two players, and , to take their decisions in a specific context. We see that, within our approach, the final choices of the players do not depend in general on their initial mental states, but they are driven essentially by the environment which interacts with them. The model proposed here also considers interactions of different nature between the two players, and it is simple enough to allow for an analytical solution of the equations of motion.

Inhibition: Mental Control Process or Mental Resource?

ERIC Educational Resources Information Center

Im-Bolter, Nancie; Johnson, Janice; Ling, Daphne; Pascual-Leone, Juan

2015-01-01

The current study tested 2 models of inhibition in 45 children with language impairment and 45 children with normally developing language; children were aged 7 to 12 years. Of interest was whether a model of inhibition as a mental-control process (i.e., executive function) or as a mental resource would more accurately reflect the relations among…

Health Care "as Usual": The Insertion of Positive Psychology in Canadian Mental Health Discourse

ERIC Educational Resources Information Center

Jhangiani, Surita Jassal; Vadeboncoeur, Jennifer A.

2010-01-01

The recent shift to a "positive psychological" approach that emphasizes a "health model," rather than a "disease model," in mental health discourses is intended both to reduce the stigma around mental health issues and to enable people to play a role in monitoring their own mental health. As a component of a larger…

Applicability of the Dual-Factor Model of Mental Health for College Students

ERIC Educational Resources Information Center

Eklund, Katie; Dowdy, Erin; Jones, Camille; Furlong, Michael

2011-01-01

This study explores the utility of a dual-factor model of mental health in which the concepts of mental illness and mental wellness are integrated. Life satisfaction, emotional symptoms, personal adjustment, and clinical symptoms were assessed with a sample of 240 college students. Participants were organized into four groups based on levels of…

A Longitudinal Investigation of the Dynamics of Mental State Talk in Families.

ERIC Educational Resources Information Center

Jenkins, Jennifer M.; Turrell, Sheri L.; Kogushi, Yuiko; Lollis, Susan; Ross, Hildy S.

2003-01-01

Observed home interaction between parents and 2- and 4-year-olds at Time 1 and 2 years later. Found that parent mental state talk to children varied by child's age, context of talk, and parent gender. Four-year-olds with older siblings produced and heard more cognitive talk and less desire talk than children without older siblings. Time 1 family…

The Impact of Field Trips and Family Involvement on Mental Models of the Desert Environment

NASA Astrophysics Data System (ADS)

Judson, Eugene

2011-07-01

This study examined the mental models of the desert environment held by fourth- and seventh-grade students in the USA and whether those mental models could be affected by: (1) classroom field trips to a desert riparian preserve, and (2) interaction with family members at the same preserve. Results generally indicated that students in this study were resolute in their models and that field trips did not impact the types of models students adhered to. Twenty-three seventh-grade students who self-selected to participate in a Family Science Club with their parents did demonstrate a shift in their mental models and developed significantly more sophisticated models over time. A critical implication of the study is that unless transformation of mental models of the environment is an explicit goal of instruction, simple exposure to the environment (even within the context of life science instruction) will not transform understandings of how organisms within an environment act and interact interdependently.

Temporal patterns of mental model convergence: implications for distributed teams interacting in electronic collaboration spaces.

PubMed

McComb, Sara; Kennedy, Deanna; Perryman, Rebecca; Warner, Norman; Letsky, Michael

2010-04-01

Our objective is to capture temporal patterns in mental model convergence processes and differences in these patterns between distributed teams using an electronic collaboration space and face-to-face teams with no interface. Distributed teams, as sociotechnical systems, collaborate via technology to work on their task. The way in which they process information to inform their mental models may be examined via team communication and may unfold differently than it does in face-to-face teams. We conducted our analysis on 32 three-member teams working on a planning task. Half of the teams worked as distributed teams in an electronic collaboration space, and the other half worked face-to-face without an interface. Using event history analysis, we found temporal interdependencies among the initial convergence points of the multiple mental models we examined. Furthermore, the timing of mental model convergence and the onset of task work discussions were related to team performance. Differences existed in the temporal patterns of convergence and task work discussions across conditions. Distributed teams interacting via an electronic interface and face-to-face teams with no interface converged on multiple mental models, but their communication patterns differed. In particular, distributed teams with an electronic interface required less overall communication, converged on all mental models later in their life cycles, and exhibited more linear cognitive processes than did face-to-face teams interacting verbally. Managers need unique strategies for facilitating communication and mental model convergence depending on teams' degrees of collocation and access to an interface, which in turn will enhance team performance.

Becoming Resilient: Promoting the Mental Health and Well-Being of Immigrant Women in a Canadian Context

PubMed Central

MacDonnell, Judith A.; Dastjerdi, Mahdieh; Bokore, Nimo; Khanlou, Nazilla

2012-01-01

This paper reports on grounded theory findings that are relevant to promoting the mental health and well-being of immigrant women in Canada. The findings illustrate how relationships among settlement factors and dynamics of empowerment had implications for “becoming resilient” as immigrant women and how various health promotion approaches enhanced their well-being. Dimensions of empowerment were embedded in the content and process of the feminist health promotion approach used in this study. Four focus groups were completed in Toronto, Ontario, Canada with 35 racialized immigrant women who represented diverse countries of origin: 25 were from Africa; others were equally represented from South Asia (5), Asia (5), and Central or South America and the Caribbean (5). Participants represented diverse languages, family dynamics, and educational backgrounds. One focus group was conducted in Somali; three were conducted in English. Constructivist grounded theory, theoretical sampling, and a critical feminist approach were chosen to be congruent with health promotion research that fostered women's empowerment. Findings foreground women's agency in the study process, the ways that immigrant women name and frame issues relevant to their lives, and the interplay among individual, family, community, and structural dynamics shaping their well-being. Implications for mental health promotion are discussed. PMID:22754696

Bringing Wellness to Schools: Opportunities for and Challenges to Mental Health Integration in School-Based Health Centers.

PubMed

Lai, Karen; Guo, Sisi; Ijadi-Maghsoodi, Roya; Puffer, Maryjane; Kataoka, Sheryl H

2016-12-01

School-based health centers (SBHCs) reduce access barriers to mental health care and improve educational outcomes for youths. This qualitative study evaluated the innovations and challenges of a unique network of SBHCs in a large, urban school district as the centers attempted to integrate health, mental health, and educational services. The 43 participants sampled included mental health providers, primary care providers, and care coordinators at 14 SBHCs. Semistructured interviews with each participant were audio recorded and transcribed. Themes were identified and coded by using Atlas.ti 5.1 and collapsed into three domains: operations, partnership, and engagement. Interviews revealed provider models ranging from single agencies offering both primary care and mental health services to colocated services. Sites where the health agency provided at least some mental health services reported more mental health screenings. Many sites used SBHC wellness coordinators and coordination team meetings to facilitate relationships between schools and health agency and community mental health clinic providers. Partnership challenges included confidentiality policies and staff turnover. Participants also highlighted student and parent engagement through culturally sensitive services, peer health advocates, and "drop-in" lunches. Staffing and operational models are critical in the success of integrating primary care, mental health care, and education. Among the provider models observed, the combined primary care and mental health provider model offered the most integrated services. Despite barriers, providers and schools have begun to implement novel solutions to operational problems and family engagement in mental health services.

Contextual analysis of coping: implications for immigrants' mental health care.

PubMed

Donnelly, Tam Truong

2002-01-01

Providing high quality and effective health care services that are culturally acceptable and appropriate to clients has become an important issue for many health care providers. This paper explores problems associated with the traditional model that views coping according to hierarchical style and traits. While some scholars who have adopted this theoretical framework have made many contributions to the development of stress and coping theories, limitations are present. Using Vietnamese immigrants' experiences as examples, I argue that coping theories should emphasize the contextual nature of stress and coping, and that coping should be viewed as a dynamic process that varies under different social, cultural, political, economic, and historical conditions. Drawing from the work of others on coping, culture, imperialism, and colonialism, I explore the way that certain cultural conceptualizations determine how individuals cope. An understanding of the contextual nature of coping and of a Vietnamese immigrant's experience of coping with stressors and illness has implications for mental health care practice and research.

Advances in Scientific Possibilities Offered by Real-Time Monitoring Technology.

PubMed

Kleiman, Evan M; Nock, Matthew K

2017-01-01

There has been a marked increase in research aimed at studying dynamic (e.g., day-to-day, moment-to-moment) changes in mental disorders and related behavior problems. Indeed, the number of scientific papers published that focus on real-time monitoring has been nearly doubling every five years for the past several decades. These methods allow for a more fine-grained description of phenomena of interest as well as for real-world tests of theoretical models of human behavior. Here we comment on the recent study by van Winkel and colleagues (this issue)as an excellent example of the use of real-time monitoring methods to better understand mental disorders. We also discuss the expanding universe of new technologies (e.g., smartphones, wearable biosensors) that can be used to make discoveries about psychopathology and related constructs and describe what we perceive to be some of the most exciting scientific possibilities that can be achieved in the near term by taking advantage of these new and rapidly developing tools.

Mental Models about Seismic Effects: Students' Profile Based Comparative Analysis

ERIC Educational Resources Information Center

Moutinho, Sara; Moura, Rui; Vasconcelos, Clara

2016-01-01

Nowadays, meaningful learning takes a central role in science education and is based in mental models that allow the representation of the real world by individuals. Thus, it is essential to analyse the student's mental models by promoting an easier reconstruction of scientific knowledge, by allowing them to become consistent with the curricular…

Automatic Detection of Student Mental Models during Prior Knowledge Activation in MetaTutor

ERIC Educational Resources Information Center

Rus, Vasile; Lintean, Mihai; Azevedo, Roger

2009-01-01

This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory processes during learning of complex science topics. In particular, we focus on detecting students' mental models based on student-generated paragraphs during prior knowledge…

External and Internal Representations in the Acquisition and Use of Knowledge: Visualization Effects on Mental Model Construction

ERIC Educational Resources Information Center

Schnotz, Wolfgang; Kurschner, Christian

2008-01-01

This article investigates whether different formats of visualizing information result in different mental models constructed in learning from pictures, whether the different mental models lead to different patterns of performance in subsequently presented tasks, and how these visualization effects can be modified by further external…

Prospective Chemistry Teachers' Mental Models of Vapor Pressure

ERIC Educational Resources Information Center

Tumay, Halil

2014-01-01

The main purpose of this study was to identify prospective chemistry teachers' mental models of vapor pressure. The study involved 85 students in the Chemistry Teacher Training Department of a state university in Turkey. Participants' mental models of vapor pressure were explored using a concept test that involved qualitative comparison tasks.…

Do I Have to Learn Something New? Mental Models and the Acceptance of Replacement Technologies

ERIC Educational Resources Information Center

Zhang, Wei; Xu, Peng

2011-01-01

Few studies in technology acceptance have explicitly addressed the acceptance of replacement technologies, technologies that replace legacy ones that have been in use. This article explores this issue through the theoretical lens of mental models. We contend that accepting replacement technologies entails both mental model maintenance and mental…

Acquisition of Complex Systemic Thinking: Mental Models of Evolution

ERIC Educational Resources Information Center

d'Apollonia, Sylvia T.; Charles, Elizabeth S.; Boyd, Gary M.

2004-01-01

We investigated the impact of introducing college students to complex adaptive systems on their subsequent mental models of evolution compared to those of students taught in the same manner but with no reference to complex systems. The students' mental models (derived from similarity ratings of 12 evolutionary terms using the pathfinder algorithm)…

Evaluating Mental Models in Mathematics: A Comparison of Methods

ERIC Educational Resources Information Center

Gogus, Aytac

2013-01-01

Cognitive scientists investigate mental models (how humans organize and structure knowledge in their minds) so as to understand human understanding of and interactions with the world. Cognitive and mental model research is concerned with internal conceptual systems that are not easily or directly observable. The goal of this research was to…

A Construct Validation of the Mental Models Learning Outcome Using Exploratory Factor Analysis.

ERIC Educational Resources Information Center

Sheehan, Joseph; Tessmer, Martin

A mental model is a knowledge structure composed of concepts and the relations between them. Mental models are distinct from declarative and procedural knowledge--they go beyond semantic relationships and skills acquisition and contain varied intellectual skills and knowledge. This study describes an initial investigation into the construct…

A critical discussion of the concept of recovery for mental health consumers in the Emergency Department.

PubMed

Marynowski-Traczyk, Donna; Moxham, Lorna; Broadbent, Marc

2013-08-01

The Emergency Department has increasingly become the initial point of contact for mental health crisis assessment and intervention, and is the interface between community and inpatient care. Questions regarding the appropriateness of the Emergency Department in providing a suitable environment for people who have a mental health issue abound with commentary regarding the confidence and competence of general Registered Nurses to provide mental health care. Emergency Departments are busy noisy places where rapid assessments and response is the norm and is counterintuitive to contemporary mental health care. The model of care currently considered best practice in mental health is the Recovery-oriented model; a long term individualised approach to collaborative care. The notion of Recovery as understood and practised in contemporary mental health care is almost polarised to that which is embedded in generalist Emergency Registered Nurses' practice. As Emergency Departments play an integral role in the assessment of people experiencing mental illness, close collaboration and support is required between emergency and mental health specialities to achieve optimal client outcomes in an environment that is nested within the medical model. Furthermore, Emergency Department staff must be supported in acquiring the knowledge and skills required to care for and manage people with a mental health issue. This includes cognisance and understanding of the Recovery-oriented model of care which is the model of care considered best practice for this client group. This paper offers a critical discussion of the concept of recovery for mental health consumers in the Emergency Department. Copyright © 2013 College of Emergency Nursing Australasia Ltd. Published by Elsevier Ltd. All rights reserved.

Common sense model of mental illness: Understanding the impact of cognitive and emotional representations of mental illness on recovery through the mediation of self-stigma.

PubMed

Chan, Randolph C H; Mak, Winnie W S

2016-12-30

The present study applied the common sense model to understand the underlying mechanism of how cognitive and emotional representations of mental illness among people in recovery of mental illness would impact their endorsement of self-stigma, and how that would, in turn, affect clinical and personal recovery. A cross-sectional survey was administered to 376 people in recovery. Participants were recruited from seven public specialty outpatient clinics and substance abuse assessment clinics across various districts in Hong Kong. They were asked to report their perception towards their mental illness, self-stigma, symptom severity, and personal recovery. The results of structural equation modeling partially supported the hypothesized mediation model indicating that controllability, consequences, and emotional concern of mental illness, but not cause, timeline, and identity, were associated with self-stigma, which was subsequently negatively associated with clinical and personal recovery. The present study demonstrated the mediating role of self-stigma in the relationship between individuals' illness representations towards their mental illness and their recovery. Illness management programs aimed at addressing the maladaptive mental illness-related beliefs and emotions are recommended. Implications on developing self-directed and empowering mental health services are discussed. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Prising open the 'black box': An epistemological critique of discursive constructions of scaling up the provision of mental health care in Africa.

PubMed

Cooper, Sara

2015-09-01

Global mental health research is increasingly highlighting the high levels of untreated mental illness in Africa and calling for the scaling-up of services in order to redress this situation. A particular model of care is being strongly advocated for such scale-up, and a recent explosion of research is providing guidelines for its implementation. This article seeks to open up the 'black box' of international research on scaling up the provision of mental health care in Africa, unearthing the hidden assumptions and power dynamics underpinning the knowledge produced. It insists that gaining a better understanding of care provision demands that we not only fill the gaps in knowledge but also problematize the assumptions upon which existing knowledge is based. This article demonstrates how two interrelated paradigms are strongly mediating research in this area - those of 'scientific evidence' and 'human rights'. Drawing on recent research within the sociology of scientific knowledge, and strands of postcolonial thought, it demonstrates how these paradigms are both underpinned by several contentious epistemological assumptions, assumptions which are deeply inserted within the epistemological order of Western modernity. The main argument is that through their shared ideological undertones of 'objectivity', 'universalism' and 'rationalism', these paradigms are potentially marginalizing other possibly important ways of thinking about care in Africa, ways which might not originate from modernist forms of consciousness. This article makes a plea for a more inclusive and plural archive of knowledge on scaling up mental health care in Africa, one which is more hospitable to diverse epistemological politics and moral landscapes. © The Author(s) 2014.

The Impact of Secondary School Students' Preconceptions on the Evolution of their Mental Models of the Greenhouse effect and Global Warming

NASA Astrophysics Data System (ADS)

Reinfried, Sibylle; Tempelmann, Sebastian

2014-01-01

This paper provides a video-based learning process study that investigates the kinds of mental models of the atmospheric greenhouse effect 13-year-old learners have and how these mental models change with a learning environment, which is optimised in regard to instructional psychology. The objective of this explorative study was to observe and analyse the learners' learning pathways according to their previous knowledge in detail and to understand the mental model formation processes associated with them more precisely. For the analysis of the learning pathways, drawings, texts, video and interview transcripts from 12 students were studied using qualitative methods. The learning pathways pursued by the learners significantly depend on their domain-specific previous knowledge. The learners' preconceptions could be typified based on specific characteristics, whereby three preconception types could be formed. The 'isolated pieces of knowledge' type of learners, who have very little or no previous knowledge about the greenhouse effect, build new mental models that are close to the target model. 'Reduced heat output' type of learners, who have previous knowledge that indicates compliances with central ideas of the normative model, reconstruct their knowledge by reorganising and interpreting their existing knowledge structures. 'Increasing heat input' type of learners, whose previous knowledge consists of subjective worldly knowledge, which has a greater personal explanatory value than the information from the learning environment, have more difficulties changing their mental models. They have to fundamentally reconstruct their mental models.

Urgent Need for Improved Mental Health Care and a More Collaborative Model of Care

PubMed Central

Lake, James; Turner, Mason Spain

2017-01-01

Current treatments and the dominant model of mental health care do not adequately address the complex challenges of mental illness, which accounts for roughly one-third of adult disability globally. These circumstances call for radical change in the paradigm and practices of mental health care, including improving standards of clinician training, developing new research methods, and re-envisioning current models of mental health care delivery. Because of its dominant position in the US health care marketplace and its commitment to research and innovation, Kaiser Permanente (KP) is strategically positioned to make important contributions that will shape the future of mental health care nationally and globally. This article reviews challenges facing mental health care and proposes an agenda for developing a collaborative care model in primary care settings that incorporates conventional biomedical therapies and complementary and alternative medicine approaches. By moving beyond treatment delivery via telephone and secure video and providing earlier interventions through primary care clinics, KP is shifting the paradigm of mental health care to a collaborative care model focusing on prevention. Recommendations are to expand current practices to include integrative treatment strategies incorporating evidence-based biomedical and complementary and alternative medicine modalities that can be provided to patients using a collaborative care model. Recommendations also are made for an internal research program aimed at investigating the efficacy and cost-effectiveness of promising complementary and alternative medicine and integrative treatments addressing the complex needs of patients with severe psychiatric disorders, many of whom respond poorly to treatments available in KP mental health clinics. PMID:28898197

An Agent-Based Data Mining System for Ontology Evolution

NASA Astrophysics Data System (ADS)

Hadzic, Maja; Dillon, Darshan

We have developed an evidence-based mental health ontological model that represents mental health in multiple dimensions. The ongoing addition of new mental health knowledge requires a continual update of the Mental Health Ontology. In this paper, we describe how the ontology evolution can be realized using a multi-agent system in combination with data mining algorithms. We use the TICSA methodology to design this multi-agent system which is composed of four different types of agents: Information agent, Data Warehouse agent, Data Mining agents and Ontology agent. We use UML 2.1 sequence diagrams to model the collaborative nature of the agents and a UML 2.1 composite structure diagram to model the structure of individual agents. The Mental Heath Ontology has the potential to underpin various mental health research experiments of a collaborative nature which are greatly needed in times of increasing mental distress and illness.

Mediating effects of emotional exhaustion on the relationship between job demand–control model and mental health.

PubMed

Huang, Yu-Hwa; Du, Pey-Ian; Chen, Chin-Hui; Yang, Chin-Ann; Huang, Ing-Chung

2011-04-01

This study attempted to investigate the role of emotional exhaustion as a mediator on the relationship between job demands-control (JDC) model and mental health. Three-wave data from 297 employees were collected. The results showed that job demands were positively related to emotional exhaustion, and increasing job demands will increase the level of emotional exhaustion. Job control was negatively associated with emotional exhaustion; therefore, increasing job control will decrease the level of emotional exhaustion. Emotional exhaustion was negatively related to mental health. Emotional exhaustion fully mediated the relationship between job demands and mental health, and partially mediated the positive relationship between job control and mental health. In addition, job control was positively associated with mental health directly. The remarkable finding of the present study was that emotional exhaustion served as the key mediator between the JDC model and mental health. Theoretical and managerial implications and limitations were discussed.

Circuit to Construct Mapping: A Mathematical Tool for Assisting the Diagnosis and Treatment in Major Depressive Disorder

PubMed Central

Bielczyk, Natalia Z.; Buitelaar, Jan K.; Glennon, Jeffrey C.; Tiesinga, Paul H. E.

2015-01-01

Major depressive disorder (MDD) is a serious condition with a lifetime prevalence exceeding 16% worldwide. MDD is a heterogeneous disorder that involves multiple behavioral symptoms on the one hand and multiple neuronal circuits on the other hand. In this review, we integrate the literature on cognitive and physiological biomarkers of MDD with the insights derived from mathematical models of brain networks, especially models that can be used for fMRI datasets. We refer to the recent NIH research domain criteria initiative, in which a concept of “constructs” as functional units of mental disorders is introduced. Constructs are biomarkers present at multiple levels of brain functioning – cognition, genetics, brain anatomy, and neurophysiology. In this review, we propose a new approach which we called circuit to construct mapping (CCM), which aims to characterize causal relations between the underlying network dynamics (as the cause) and the constructs referring to the clinical symptoms of MDD (as the effect). CCM involves extracting diagnostic categories from behavioral data, linking circuits that are causal to these categories with use of clinical neuroimaging data, and modeling the dynamics of the emerging circuits with attractor dynamics in order to provide new, neuroimaging-related biomarkers for MDD. The CCM approach optimizes the clinical diagnosis and patient stratification. It also addresses the recent demand for linking circuits to behavior, and provides a new insight into clinical treatment by investigating the dynamics of neuronal circuits underneath cognitive dimensions of MDD. CCM can serve as a new regime toward personalized medicine, assisting the diagnosis and treatment of MDD. PMID:25767450

Early intervention for substance abuse among youth and young adults with mental health conditions: an exploration of community mental health practices.

PubMed

Anthony, Elizabeth K; Taylor, Sarah A; Raffo, Zulma

2011-05-01

This mixed method study examined current practices and barriers for screening and assessing substance use among youth/young adults in community mental health systems. Substance use rates remain high among youth/young adults in the general population and substance use disorders are prevalent among young people involved in public service systems such as mental health. In an effort to understand the dynamics for early intervention, 64 case managers and/or clinical directors from children's mental health systems in two states participated in an online survey or focus group in fall 2008. Quantitative survey questions and qualitative focus group questions explored attitudes and perspectives about screening and early intervention for substance use among youth/young adults involved in the mental health system and current agency practices. Mixed method results suggest a number of barriers to substance use screening and early intervention and point to innovations that could be more effectively supported.

General practitioners and mental health staff sharing patient care: working model.

PubMed

Horner, Deborah; Asher, Kim

2005-06-01

The paper describes a shared care programme developed by mental health services and general practitioners for shifting patients with chronic psychiatric disorders to the care of a general practitioner. The programme is characterized by: (i) a dedicated mental health service general practitioner liaison position to manage the programme and provide support to both patients and doctors; (ii) a multidisciplinary care planning meeting that includes mental health staff, the patient, the general practitioner and a carer; and (iii) a jointly developed individual management plan that specifies patient issues, strategies to deal with these issues, persons responsible for monitoring and a review date. The shared care protocol, the results of a review of patient mental health indicators and general practitioner satisfaction with the programme are described. Outcomes to date suggest that patients' mental health is not compromised and may be enhanced by transfer to general practitioners within the shared care model. Indicators of mental health outcomes (Health of the Nation Outcome Scale and Life Skills Profile scores) show improved patient symptomatology and functioning in most cases. The programme fits the model of recovery-based mental health services and complies with current local, state and Commonwealth policies that encourage integrated and collaborative approaches by mental health services and general practitioners in delivering mental health care to persons with chronic mental illness.

Not of One Mind: Mental Models of Clinical Practice Guidelines in the Veterans Health Administration

PubMed Central

Hysong, Sylvia J; Best, Richard G; Pugh, Jacqueline A; Moore, Frank I

2005-01-01

Objective The purpose of this paper is to present differences in mental models of clinical practice guidelines (CPGs) among 15 Veterans Health Administration (VHA) facilities throughout the United States. Data Sources Two hundred and forty-four employees from 15 different VHA facilities across four service networks around the country were invited to participate. Participants were selected from different levels throughout each service setting from primary care personnel to facility leadership. Study Design This qualitative study used purposive sampling, a semistructured interview process for data collection, and grounded theory techniques for analysis. Data Collection A semistructured interview was used to collect information on participants' mental models of CPGs, as well as implementation strategies and barriers in their facility. Findings Analysis of these interviews using grounded theory techniques indicated that there was wide variability in employees' mental models of CPGs. Findings also indicated that high-performing facilities exhibited both (a) a clear, focused shared mental model of guidelines and (b) a tendency to use performance feedback as a learning opportunity, thus suggesting that a shared mental model is a necessary but not sufficient step toward successful guideline implementation. Conclusions We conclude that a clear shared mental model of guidelines, in combination with a learning orientation toward feedback are important components for successful guideline implementation and improved quality of care. PMID:15960693

Violent Extremism, Community-Based Violence Prevention, and Mental Health Professionals.

PubMed

Weine, Stevan M; Stone, Andrew; Saeed, Aliya; Shanfield, Stephen; Beahrs, John; Gutman, Alisa; Mihajlovic, Aida

2017-01-01

New community-based initiatives being developed to address violent extremism in the United States are utilizing mental health services and leadership. This article reviews current approaches to preventing violent extremism, the contribution that mental illness and psychosocial problems can make to violent extremism, and the rationale for integrating mental health strategies into preventing violent extremism. The authors describe a community-based targeted violence prevention model and the potential roles of mental health professionals. This model consists of a multidisciplinary team that assesses at-risk individuals with comprehensive threat and behavioral evaluations, arranges for ongoing support and treatment, conducts follow-up evaluations, and offers outreach, education, and resources for communities. This model would enable mental health professionals in local communities to play key roles in preventing violent extremism through their practice and leadership.

The Social Nature of Perceived Illness Representations of Perinatal Depression in Rural Uganda.

PubMed

Sarkar, Nandini D P; Bardaji, Azucena; Peeters Grietens, Koen; Bunders-Aelen, Joske; Baingana, Florence; Criel, Bart

2018-06-07

While the global health community advocates for greater integration of mental health into maternal health agendas, a more robust understanding of perinatal mental health, and its role in providing integrated maternal health care and service delivery, is required. The present study uses the Illness Representation Model, a theoretical cognitive framework for understanding illness conceptualisations, to qualitatively explore multiple stakeholder perspectives on perinatal depression in rural Uganda. A total of 70 in-depth interviews and 9 focus group discussions were conducted with various local health system stakeholders, followed by an emergent thematic analysis using NVivo 11. Local communities perceived perinatal depression as being both the fault of women, and not. It was perceived as having socio-economic and cultural causal factors, in particular, as being partner-related. In these communities, perinatal depression was thought to be a common occurrence, and its negative consequences for women, infants and the community at large were recognised. Coping and help-seeking behaviours prescribed by the participants were also primarily socio-cultural in nature. Placing the dynamics and mechanisms of these local conceptualisations of perinatal depression alongside existing gaps in social and health care systems highlights both the need of, and the opportunities for, growth and prioritisation of integrated perinatal biomedical, mental, and social health programs in resource-constrained settings.

The impact of adverse health events on consumption: Understanding the mediating effect of income transfers, wealth, and health insurance.

PubMed

Babiarz, Patryk; Yilmazer, Tansel

2017-12-01

Using data from the Panel Study of Income Dynamics for years 1999-2013, we investigate the impact of physical and mental illnesses on household consumption and financial status. In comparison to severe physical health problems, mental illnesses lead to larger decreases in labor income. Increases in public and private transfers following the onset of a mental illness do not completely offset the decline in labor income. Consequently, we find a significant decrease in consumption expenditures after the household head experiences a mental problem. On the other hand, public and private transfers and accumulated wealth offset the relatively smaller decline in labor income and enable households with severe physical problems to smooth their consumption. Health insurance helps to prevent larger drops in consumption after the onset of a mental health problem. Copyright © 2017 John Wiley & Sons, Ltd.

Dynamic Master Mind: Interactive Use of a Game for Testing Metacognition

ERIC Educational Resources Information Center

Saldana, David

2004-01-01

Master Mind is a commercial game, popular in the 1970s, that has been extensively used in psychological and educational research. Here, a dynamic assessment format is developed in order to test metacognitive skills in individuals with mental retardation. The main objective is to obtain valid scores that adequately reflect individual differences…

An Inquiry into the Foundations of Organizational Learning and the Learning Organization

ERIC Educational Resources Information Center

Jensen, Jorgen A.; Rasmussen, Ole E.

2004-01-01

People's mental models are viewed as being significant in achieving organizational outcomes, on the assumption that mental models influence people's acts. A fundamental issue in the area of organizational learning, then, is the relation between mental models, learning and performance. We contend that a fruitful line of work is to study persons as…

Using Computational Simulations to Confront Students' Mental Models

ERIC Educational Resources Information Center

Rodrigues, R.; Carvalho, P. Simeão

2014-01-01

In this paper we show an example of how to use a computational simulation to obtain visual feedback for students' mental models, and compare their predictions with the simulated system's behaviour. Additionally, we use the computational simulation to incrementally modify the students' mental models in order to accommodate new data,…

Characteristics and Levels of Sophistication: An Analysis of Chemistry Students' Ability to Think with Mental Models

ERIC Educational Resources Information Center

Wang, Chia-Yu; Barrow, Lloyd H.

2011-01-01

This study employed a case-study approach to reveal how an ability to think with mental models contributes to differences in students' understanding of molecular geometry and polarity. We were interested in characterizing features and levels of sophistication regarding first-year university chemistry learners' mental modeling behaviors while the…

Conceptual Change in Physical Geography and Environmental Sciences through Mental Model Building: The Example of Groundwater

ERIC Educational Resources Information Center

Reinfried, Sibylle

2006-01-01

This research tested the hypothesis that students' erroneous mental models about groundwater will change towards more valid concepts if they are taught on the basis of a mental model-building strategy that focuses on the clarification of students' misconceptions. To examine the hypothesis a quasi-experimental research design was chosen. The…

Assessing Psychological Symptoms and Well-Being: Application of a Dual-Factor Mental Health Model to Understand College Student Performance

ERIC Educational Resources Information Center

Antaramian, Susan

2015-01-01

A dual-factor mental health model includes measures of positive psychological well-being in addition to traditional indicators of psychopathology to comprehensively determine mental health status. The current study examined the utility of this model in understanding the psychological adjustment and educational functioning of college students. A…

Periodic Properties and Inquiry: Student Mental Models Observed during a Periodic Table Puzzle Activity

ERIC Educational Resources Information Center

Larson, Kathleen G.; Long, George R.; Briggs, Michael W.

2012-01-01

The mental models of both novice and advanced chemistry students were observed while the students performed a periodic table activity. The mental model framework seems to be an effective way of analyzing student behavior during learning activities. The analysis suggests that students do not recognize periodic trends through the examination of…

Relationship between behavioural problems and use of mental health services in patients with severe mental illness and the mediating role of the perceived burden of care.

PubMed

Bellido-Zanin, Gloria; Vázquez-Morejón, Antonio J; Pérez-San-Gregorio, Maria Ángeles; Martín-Rodríguez, Agustín

2017-10-01

Mental health models proposed for predicting more use of mental health resources by patients with severe mental illness are including a wider variety of predictor variables, but there are still many more remaining to be explored for a complete model. The purpose of this study was to enquire into the relationship between two variables, behaviour problems and burden of care, and the use of mental health resources in patients with severe mental illness. Our hypothesis was that perceived burden of care mediates between behaviour problems of patients with serious mental illness and the use of mental health resources. The Behaviour Problem Inventory, which was filled out by the main caregiver, was used to evaluate 179 patients cared for in a community mental health unit. They also answered a questionnaire on perceived family burden. A structural equation analysis was done to test our hypothesis. The results showed that both the behaviour problems and perceived burden of care are good predictors of the use of mental health resources, where perceived burden of care mediates between behaviour problems and use of resources. These variables seem to be relevant for inclusion in complete models for predicting use of mental health resources. Copyright © 2017 Elsevier B.V. All rights reserved.

Use of Mental Health Services among People with Co-Occurring Disorders and other Mental Health co-morbidities: Employing the Behavioral Model of Vulnerable Populations

PubMed Central

Small, La Fleur F.

2010-01-01

Background Persons with mental disorders frequently have other co-occurring problems such as substance related disorders and HIV/AIDS. Individuals with co-occurring medical and mental disorders encounter great obstacles to receiving mental health services. Aims This paper uses the Behavioral Model of Vulnerable Populations to evaluate use of mental health services among groups with co-occurring disorders (CODs) and other co-morbid relationships. The association between receipt of mental health treatment and traditional/vulnerable predisposing, enabling, and need factors are examined. Methods Bivariate analysis and two-stage hierarchical logistic regression were completed. Resutls A sample of 553 persons who reported mental health problems within the past year had one or more of the following vulnerabilities: (1) substance disorders; (2) homelessness; (3) victims of violent crime; (4) diagnosed with HIV/AIDS; (5) recipient of public benefits; and 31.3% reported having received some form of mental health treatment. Both traditional and vulnerable characteristics are significant predictors of receipt of mental health treatment. Vulnerable predictors indicated decreased odds of receiving mental health treatment were associated with injection and chronic drug use, (OR = .42, CI: .22 – .77) and (OR = .38, CI: .22 – .64) respectively. Conclusion The Behavioral Model of Vulnerable Populations could be employed in future research of CODs and other co-morbid group’s utilization of mental health treatment. PMID:20559416

EPA guidance on building trust in mental health services.

PubMed

Gaebel, W; Muijen, M; Baumann, A E; Bhugra, D; Wasserman, D; van der Gaag, R J; Heun, R; Zielasek, J

2014-02-01

To advance mental health care use by developing recommendations to increase trust from the general public and patients, those who have been in contact with services, those who have never been in contact and those who care for their families in the mental health care system. We performed a systematic literature search and the retrieved documents were evaluated by two independent reviewers. Evidence tables were generated and recommendations were developed in an expert and stakeholder consensus process. We developed five recommendations which may increase trust in mental health care services and advance mental health care service utilization. Trust is a mutual, complex, multidimensional and dynamic interrelationship of a multitude of factors. Its components may vary between individuals and over time. They may include, among others, age, place of residence, ethnicity, culture, experiences as a service user, and type of disorder. For mental health care services, issues of knowledge about mental health services, confidentiality, continuity of treatment, dignity, safety and avoidance of stigma and coercion are central elements to increase trust. Evidence-based recommendations to increase mutual trust of service users and psychiatrists have been developed and may help to increase mental health care service utilization. Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Dynamics of the mental health workforce: investigating the composition of physicians and other health providers.

PubMed

Stefos, Theodore; Burgess, James F; Cohen, Jeffrey P; Lehner, Laura; Moran, Eileen

2012-12-01

We evaluate how changes to mental health workforce levels, composition, and degree of labor substitution, may impact typical practice output. Using a generalized Leontief production function and data from 134 U.S. Department of Veterans Affairs (VA) mental health practices, we estimate the q-complementarity/q-substitutability of mental health workers. We look at the entire spectrum of mental health services rather than just outpatient or physician office services. We also examine more labor types, including residents, than previous studies. The marginal patient care output contribution is estimated for each labor type as well as the degree to which physicians and other mental health workers may be substitutes or complements. Results indicate that numerous channels exist through which input substitution can improve productivity. Seven of eight labor and capital inputs have positive estimated marginal products. Most factor inputs exhibit diminishing marginal productivity. Of 28 unique labor-capital pairs, 17 are q-complements and 11 are q-substitutes. Complementarity among several labor types provides evidence of a team approach to mental health service provision. Our approach may serve to better inform healthcare providers regarding more productive mental health workforce composition both in and outside of VA.

Mental model mapping as a new tool to analyse the use of information in decision-making in integrated water management

NASA Astrophysics Data System (ADS)

Kolkman, M. J.; Kok, M.; van der Veen, A.

The solution of complex, unstructured problems is faced with policy controversy and dispute, unused and misused knowledge, project delay and failure, and decline of public trust in governmental decisions. Mental model mapping (also called concept mapping) is a technique to analyse these difficulties on a fundamental cognitive level, which can reveal experiences, perceptions, assumptions, knowledge and subjective beliefs of stakeholders, experts and other actors, and can stimulate communication and learning. This article presents the theoretical framework from which the use of mental model mapping techniques to analyse this type of problems emerges as a promising technique. The framework consists of the problem solving or policy design cycle, the knowledge production or modelling cycle, and the (computer) model as interface between the cycles. Literature attributes difficulties in the decision-making process to communication gaps between decision makers, stakeholders and scientists, and to the construction of knowledge within different paradigm groups that leads to different interpretation of the problem situation. Analysis of the decision-making process literature indicates that choices, which are made in all steps of the problem solving cycle, are based on an individual decision maker’s frame of perception. This frame, in turn, depends on the mental model residing in the mind of the individual. Thus we identify three levels of awareness on which the decision process can be analysed. This research focuses on the third level. Mental models can be elicited using mapping techniques. In this way, analysing an individual’s mental model can shed light on decision-making problems. The steps of the knowledge production cycle are, in the same manner, ultimately driven by the mental models of the scientist in a specific discipline. Remnants of this mental model can be found in the resulting computer model. The characteristics of unstructured problems (complexity, uncertainty and disagreement) can be positioned in the framework, as can the communities of knowledge construction and valuation involved in the solution of these problems (core science, applied science, and professional consultancy, and “post-normal” science). Mental model maps, this research hypothesises, are suitable to analyse the above aspects of the problem. This hypothesis is tested for the case of the Zwolle storm surch barrier. Analysis can aid integration between disciplines, participation of public stakeholders, and can stimulate learning processes. Mental model mapping is recommended to visualise the use of knowledge, to analyse difficulties in problem solving process, and to aid information transfer and communication. Mental model mapping help scientists to shape their new, post-normal responsibilities in a manner that complies with integrity when dealing with unstructured problems in complex, multifunctional systems.

Dynamic Neuro-Cognitive Imagery Improves Mental Imagery Ability, Disease Severity, and Motor and Cognitive Functions in People with Parkinson's Disease

PubMed Central

Hart, Ariel; Andrade, Isaac; Hackney, Madeleine E.

2018-01-01

People with Parkinson's disease (PD) experience kinesthetic deficits, which affect motor and nonmotor functions, including mental imagery. Imagery training is a recommended, yet underresearched, approach in PD rehabilitation. Dynamic Neuro-Cognitive Imagery (DNI™) is a codified method for imagery training. Twenty subjects with idiopathic PD (Hoehn and Yahr stages I–III) were randomly allocated into DNI training (experimental; n = 10) or in-home learning and exercise program (control; n = 10). Both groups completed at least 16 hours of training within two weeks. DNI training focused on anatomical embodiment and kinesthetic awareness. Imagery abilities, disease severity, and motor and nonmotor functions were assessed pre- and postintervention. The DNI participants improved (p < .05) in mental imagery abilities, disease severity, and motor and spatial cognitive functions. Participants also reported improvements in balance, walking, mood, and coordination, and they were more physically active. Both groups strongly agreed they enjoyed their program and were more mentally active. DNI training is a promising rehabilitation method for improving imagery ability, disease severity, and motor and nonmotor functions in people with PD. This training might serve as a complementary PD therapeutic approach. Future studies should explore the effect of DNI on motor learning and control strategies. PMID:29725348

Improving access to psychosocial interventions for common mental health problems in the United Kingdom: narrative review and development of a conceptual model for complex interventions

PubMed Central

2012-01-01

Background In the United Kingdom and worldwide, there is significant policy interest in improving the quality of care for patients with mental health disorders and distress. Improving quality of care means addressing not only the effectiveness of interventions but also the issue of limited access to care. Research to date into improving access to mental health care has not been strongly rooted within a conceptual model, nor has it systematically identified the different elements of the patient journey from identification of illness to receipt of care. This paper set out to review core concepts underlying patient access to mental health care, synthesise these to develop a conceptual model of access, and consider the implications of the model for the development and evaluation of interventions for groups with poor access to mental health care such as older people and ethnic minorities. Methods Narrative review of the literature to identify concepts underlying patient access to mental health care, and synthesis into a conceptual model to support the delivery and evaluation of complex interventions to improve access to mental health care. Results The narrative review adopted a process model of access to care, incorporating interventions at three levels. The levels comprise (a) community engagement (b) addressing the quality of interactions in primary care and (c) the development and delivery of tailored psychosocial interventions. Conclusions The model we propose can form the basis for the development and evaluation of complex interventions in access to mental health care. We highlight the key methodological challenges in evaluating the overall impact of access interventions, and assessing the relative contribution of the different elements of the model. PMID:22889290

Rethinking historical and cultural source of spontaneous mental models of water cycle: in the perspective of South Korea

NASA Astrophysics Data System (ADS)

Nam, Younkyeong

2012-06-01

This review explores Ben-Zvi Assaraf, Eshach, Orion, and Alamour's paper titled "Cultural Differences and Students' Spontaneous Models of the Water Cycle: A Case Study of Jewish and Bedouin Children in Israel" by examining how the authors use the concept of spontaneous mental models to explain cultural knowledge source of Bedouin children's mental model of water compared to Jewish children's mental model of water in nature. My response to Ben-Zvi Assaraf et al.'s work expands upon their explanations of the Bedouin children's cultural knowledge source. Bedouin children's mental model is based on their culture, religion, place of living and everyday life practices related to water. I suggest a different knowledge source for spontaneous mental model of water in nature based on unique history and traditions of South Korea where people think of water in nature in different ways. This forum also addresses how western science dominates South Korean science curriculum and ways of assessing students' conceptual understanding of scientific concepts. Additionally I argue that western science curriculum models could diminish Korean students' understanding of natural world which are based on Korean cultural ways of thinking about the natural world. Finally, I also suggest two different ways of considering this unique knowledge source for a more culturally relevant teaching Earth system education.

Task-dependent changes of corticospinal excitability during observation and motor imagery of balance tasks.

PubMed

Mouthon, A; Ruffieux, J; Wälchli, M; Keller, M; Taube, W

2015-09-10

Non-physical balance training has demonstrated to be efficient to improve postural control in young people. However, little is known about the potential to increase corticospinal excitability by mental simulation in lower leg muscles. Mental simulation of isolated, voluntary contractions of limb muscles increase corticospinal excitability but more automated tasks like walking seem to have no or only minor effects on motor-evoked potentials (MEPs) evoked by transcranial magnetic stimulation (TMS). This may be related to the way of performing the mental simulation or the task itself. Therefore, the present study aimed to clarify how corticospinal excitability is modulated during AO+MI, MI and action observation (AO) of balance tasks. For this purpose, MEPs and H-reflexes were elicited during three different mental simulations (a) AO+MI, (b) MI and (c) passive AO. For each condition, two balance tasks were evaluated: (1) quiet upright stance (static) and (2) compensating a medio-lateral perturbation while standing on a free-swinging platform (dynamic). AO+MI resulted in the largest facilitation of MEPs followed by MI and passive AO. MEP facilitation was significantly larger in the dynamic perturbation than in the static standing task. Interestingly, passive observation resulted in hardly any facilitation independent of the task. H-reflex amplitudes were not modulated. The current results demonstrate that corticospinal excitability during mental simulation of balance tasks is influenced by both the type of mental simulation and the task difficulty. As H-reflexes and background EMG were not modulated, it may be argued that changes in excitability of the primary motor cortex were responsible for the MEP modulation. From a functional point of view, our findings suggest best training/rehabilitation effects when combining MI with AO during challenging postural tasks. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Diminished neural network dynamics after moderate and severe traumatic brain injury.

PubMed

Gilbert, Nicholas; Bernier, Rachel A; Calhoun, Vincent D; Brenner, Einat; Grossner, Emily; Rajtmajer, Sarah M; Hillary, Frank G

2018-01-01

Over the past decade there has been increasing enthusiasm in the cognitive neurosciences around using network science to understand the system-level changes associated with brain disorders. A growing literature has used whole-brain fMRI analysis to examine changes in the brain's subnetworks following traumatic brain injury (TBI). Much of network modeling in this literature has focused on static network mapping, which provides a window into gross inter-nodal relationships, but is insensitive to more subtle fluctuations in network dynamics, which may be an important predictor of neural network plasticity. In this study, we examine the dynamic connectivity with focus on state-level connectivity (state) and evaluate the reliability of dynamic network states over the course of two runs of intermittent task and resting data. The goal was to examine the dynamic properties of neural networks engaged periodically with task stimulation in order to determine: 1) the reliability of inter-nodal and network-level characteristics over time and 2) the transitions between distinct network states after traumatic brain injury. To do so, we enrolled 23 individuals with moderate and severe TBI at least 1-year post injury and 19 age- and education-matched healthy adults using functional MRI methods, dynamic connectivity modeling, and graph theory. The results reveal several distinct network "states" that were reliably evident when comparing runs; the overall frequency of dynamic network states are highly reproducible (r-values>0.8) for both samples. Analysis of movement between states resulted in fewer state transitions in the TBI sample and, in a few cases, brain injury resulted in the appearance of states not exhibited by the healthy control (HC) sample. Overall, the findings presented here demonstrate the reliability of observable dynamic mental states during periods of on-task performance and support emerging evidence that brain injury may result in diminished network dynamics.

Diminished neural network dynamics after moderate and severe traumatic brain injury

PubMed Central

Gilbert, Nicholas; Bernier, Rachel A.; Calhoun, Vincent D.; Brenner, Einat; Grossner, Emily; Rajtmajer, Sarah M.

2018-01-01

Over the past decade there has been increasing enthusiasm in the cognitive neurosciences around using network science to understand the system-level changes associated with brain disorders. A growing literature has used whole-brain fMRI analysis to examine changes in the brain’s subnetworks following traumatic brain injury (TBI). Much of network modeling in this literature has focused on static network mapping, which provides a window into gross inter-nodal relationships, but is insensitive to more subtle fluctuations in network dynamics, which may be an important predictor of neural network plasticity. In this study, we examine the dynamic connectivity with focus on state-level connectivity (state) and evaluate the reliability of dynamic network states over the course of two runs of intermittent task and resting data. The goal was to examine the dynamic properties of neural networks engaged periodically with task stimulation in order to determine: 1) the reliability of inter-nodal and network-level characteristics over time and 2) the transitions between distinct network states after traumatic brain injury. To do so, we enrolled 23 individuals with moderate and severe TBI at least 1-year post injury and 19 age- and education-matched healthy adults using functional MRI methods, dynamic connectivity modeling, and graph theory. The results reveal several distinct network “states” that were reliably evident when comparing runs; the overall frequency of dynamic network states are highly reproducible (r-values>0.8) for both samples. Analysis of movement between states resulted in fewer state transitions in the TBI sample and, in a few cases, brain injury resulted in the appearance of states not exhibited by the healthy control (HC) sample. Overall, the findings presented here demonstrate the reliability of observable dynamic mental states during periods of on-task performance and support emerging evidence that brain injury may result in diminished network dynamics. PMID:29883447

Toward a New Model for Promoting Urban Children's Mental Health: Accessible, Effective, and Sustainable School-Based Mental Health Services

ERIC Educational Resources Information Center

Atkins, Marc S.; Graczyk, Patricia A.; Frazier, Stacy L.; Abdul-Adil, Jaleel

2003-01-01

A program of research related to school-based models for urban children's mental health is described, with a particular focus on improving access to services, promoting children's functioning, and providing for program sustainability. The first study in this series responded to the urgent need to engage more families in mental health services, and…

Mental Health and Educational Experiences Among Black Youth: A Latent Class Analysis.

PubMed

Rose, Theda; Lindsey, Michael A; Xiao, Yunyu; Finigan-Carr, Nadine M; Joe, Sean

2017-11-01

Disproportionately lower educational achievement, coupled with higher grade retention, suspensions, expulsions, and lower school bonding make educational success among Black adolescents a major public health concern. Mental health is a key developmental factor related to educational outcomes among adolescents; however, traditional models of mental health focus on absence of dysfunction as a way to conceptualize mental health. The dual-factor model of mental health incorporates indicators of both subjective wellbeing and psychopathology, supporting more recent research that both are needed to comprehensively assess mental health. This study applied the dual-factor model to measure mental health using the National Survey of American Life-Adolescent Supplement (NSAL-A), a representative cross-sectional survey. The sample included 1170 Black adolescents (52% female; mean age 15). Latent class analysis was conducted with positive indicators of subjective wellbeing (emotional, psychological, and social) as well as measures of psychopathology. Four mental health groups were identified, based on having high or low subjective wellbeing and high or low psychopathology. Accordingly, associations between mental health groups and educational outcomes were investigated. Significant associations were observed in school bonding, suspensions, and grade retention, with the positive mental health group (high subjective wellbeing, low psychopathology) experiencing more beneficial outcomes. The results support a strong association between school bonding and better mental health and have implications for a more comprehensive view of mental health in interventions targeting improved educational experiences and mental health among Black adolescents.

Anterior cingulate cortex-related connectivity in first-episode schizophrenia: a spectral dynamic causal modeling study with functional magnetic resonance imaging

PubMed Central

Cui, Long-Biao; Liu, Jian; Wang, Liu-Xian; Li, Chen; Xi, Yi-Bin; Guo, Fan; Wang, Hua-Ning; Zhang, Lin-Chuan; Liu, Wen-Ming; He, Hong; Tian, Ping; Yin, Hong; Lu, Hongbing

2015-01-01

Understanding the neural basis of schizophrenia (SZ) is important for shedding light on the neurobiological mechanisms underlying this mental disorder. Structural and functional alterations in the anterior cingulate cortex (ACC), dorsolateral prefrontal cortex (DLPFC), hippocampus, and medial prefrontal cortex (MPFC) have been implicated in the neurobiology of SZ. However, the effective connectivity among them in SZ remains unclear. The current study investigated how neuronal pathways involving these regions were affected in first-episode SZ using functional magnetic resonance imaging (fMRI). Forty-nine patients with a first-episode of psychosis and diagnosis of SZ—according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision—were studied. Fifty healthy controls (HCs) were included for comparison. All subjects underwent resting state fMRI. We used spectral dynamic causal modeling (DCM) to estimate directed connections among the bilateral ACC, DLPFC, hippocampus, and MPFC. We characterized the differences using Bayesian parameter averaging (BPA) in addition to classical inference (t-test). In addition to common effective connectivity in these two groups, HCs displayed widespread significant connections predominantly involved in ACC not detected in SZ patients, but SZ showed few connections. Based on BPA results, SZ patients exhibited anterior cingulate cortico-prefrontal-hippocampal hyperconnectivity, as well as ACC-related and hippocampal-dorsolateral prefrontal-medial prefrontal hypoconnectivity. In summary, spectral DCM revealed the pattern of effective connectivity involving ACC in patients with first-episode SZ. This study provides a potential link between SZ and dysfunction of ACC, creating an ideal situation to associate mechanisms behind SZ with aberrant connectivity among these cognition and emotion-related regions. PMID:26578933

Combat veterans: impressions of an analytic observer in a non-analytic setting.

PubMed

Stein, Herbert H

2007-01-01

The hallmark presentation of combat trauma-nightmares, waking hallucinations, intrusive traumatic memories, and extreme affective reactions to environmental triggers-may best be conceptualized as part of an adaptive mechanism intended to protect the individual against a repetition of trauma. Combat veterans continuously must cope with the extreme affects that combat induced. Fear, rage, guilt, and grief predominate. Their mental and emotional life is complicated by a conscience split between war zone and civilian morality and by the special group dynamics of combat. Optimal clinical understanding of combat-related trauma, whether in a psychoanalytic or general mental health setting, requires an awareness of the interaction of the personal dynamics of each individual with the specific characteristics of their combat situation.

Turning the Tables: Power Relations between Consumer Researchers and other Mental Health Researchers.

PubMed

Happell, Brenda; Gordon, Sarah; Bocking, Julia; Ellis, Pete; Roper, Cath; Liggins, Jackie; Scholz, Brett; Platania-Phung, Chris

2018-05-30

A crucial development resulting from consumer involvement in mental health services has been engagement as active participants in mental health research, often conducted in collaboration with mental health researchers representing the health disciplines (referred to in this paper as 'other' researchers). Despite progress in mental health consumer research, unequal power relations continue to pose a major barrier. Although power issues are discussed in the literature, there is little research from the perspective of other mental health researchers who have collaborated with consumers on research projects. This qualitative study explored other mental health researchers' perspectives on the role of power in collaborative research with consumers. Semi-structured interviews were completed with 11 other mental health researchers. Thematic analysis of the transcript version of interview recordings was conducted. The findings were grounded in 'the table' as a literal and metaphorical site of power relations. The umbrella theme was prominence and presence (of consumers) at the table, followed by subthemes on barriers (tokenism, undermined potential) and surmounting them through reworking power (critical mass and openness to power dynamics). Overall it was found that while there continue to be significant power-related barriers to further building of robust collaborative research with consumers in mental health, there are several avenues that should be considered, much more assertively, to disrupt and transcend them.

Cognitive cost as dynamic allocation of energetic resources

PubMed Central

Christie, S. Thomas; Schrater, Paul

2015-01-01

While it is widely recognized that thinking is somehow costly, involving cognitive effort and producing mental fatigue, these costs have alternatively been assumed to exist, treated as the brain's assessment of lost opportunities, or suggested to be metabolic but with implausible biological bases. We present a model of cognitive cost based on the novel idea that the brain senses and plans for longer-term allocation of metabolic resources by purposively conserving brain activity. We identify several distinct ways the brain might control its metabolic output, and show how a control-theoretic model that models decision-making with an energy budget can explain cognitive effort avoidance in terms of an optimal allocation of limited energetic resources. The model accounts for both subject responsiveness to reward and the detrimental effects of hypoglycemia on cognitive function. A critical component of the model is using astrocytic glycogen as a plausible basis for limited energetic reserves. Glycogen acts as an energy buffer that can temporarily support high neural activity beyond the rate supported by blood glucose supply. The published dynamics of glycogen depletion and repletion are consonant with a broad array of phenomena associated with cognitive cost. Our model thus subsumes both the “cost/benefit” and “limited resource” models of cognitive cost while retaining valuable contributions of each. We discuss how the rational control of metabolic resources could underpin the control of attention, working memory, cognitive look ahead, and model-free vs. model-based policy learning. PMID:26379482

Cognitive cost as dynamic allocation of energetic resources.

PubMed

Christie, S Thomas; Schrater, Paul

2015-01-01

While it is widely recognized that thinking is somehow costly, involving cognitive effort and producing mental fatigue, these costs have alternatively been assumed to exist, treated as the brain's assessment of lost opportunities, or suggested to be metabolic but with implausible biological bases. We present a model of cognitive cost based on the novel idea that the brain senses and plans for longer-term allocation of metabolic resources by purposively conserving brain activity. We identify several distinct ways the brain might control its metabolic output, and show how a control-theoretic model that models decision-making with an energy budget can explain cognitive effort avoidance in terms of an optimal allocation of limited energetic resources. The model accounts for both subject responsiveness to reward and the detrimental effects of hypoglycemia on cognitive function. A critical component of the model is using astrocytic glycogen as a plausible basis for limited energetic reserves. Glycogen acts as an energy buffer that can temporarily support high neural activity beyond the rate supported by blood glucose supply. The published dynamics of glycogen depletion and repletion are consonant with a broad array of phenomena associated with cognitive cost. Our model thus subsumes both the "cost/benefit" and "limited resource" models of cognitive cost while retaining valuable contributions of each. We discuss how the rational control of metabolic resources could underpin the control of attention, working memory, cognitive look ahead, and model-free vs. model-based policy learning.

Examining the Dynamic Structure of Daily Internalizing and Externalizing Behavior at Multiple Levels of Analysis

PubMed Central

Wright, Aidan G. C.; Beltz, Adriene M.; Gates, Kathleen M.; Molenaar, Peter C. M.; Simms, Leonard J.

2015-01-01

Psychiatric diagnostic covariation suggests that the underlying structure of psychopathology is not one of circumscribed disorders. Quantitative modeling of individual differences in diagnostic patterns has uncovered several broad domains of mental disorder liability, of which the Internalizing and Externalizing spectra have garnered the greatest support. These dimensions have generally been estimated from lifetime or past-year comorbidity patters, which are distal from the covariation of symptoms and maladaptive behavior that ebb and flow in daily life. In this study, structural models are applied to daily diary data (Median = 94 days) of maladaptive behaviors collected from a sample (N = 101) of individuals diagnosed with personality disorders (PDs). Using multilevel and unified structural equation modeling, between-person, within-person, and person-specific structures were estimated from 16 behaviors that are encompassed by the Internalizing and Externalizing spectra. At the between-person level (i.e., individual differences in average endorsement across days) we found support for a two-factor Internalizing–Externalizing model, which exhibits significant associations with corresponding diagnostic spectra. At the within-person level (i.e., dynamic covariation among daily behavior pooled across individuals) we found support for a more differentiated, four-factor, Negative Affect-Detachment-Hostility-Disinhibition structure. Finally, we demonstrate that the person-specific structures of associations between these four domains are highly idiosyncratic. PMID:26732546

Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI☆

PubMed Central

Koush, Yury; Rosa, Maria Joao; Robineau, Fabien; Heinen, Klaartje; W. Rieger, Sebastian; Weiskopf, Nikolaus; Vuilleumier, Patrik; Van De Ville, Dimitri; Scharnowski, Frank

2013-01-01

Neurofeedback based on real-time fMRI is an emerging technique that can be used to train voluntary control of brain activity. Such brain training has been shown to lead to behavioral effects that are specific to the functional role of the targeted brain area. However, real-time fMRI-based neurofeedback so far was limited to mainly training localized brain activity within a region of interest. Here, we overcome this limitation by presenting near real-time dynamic causal modeling in order to provide feedback information based on connectivity between brain areas rather than activity within a single brain area. Using a visual–spatial attention paradigm, we show that participants can voluntarily control a feedback signal that is based on the Bayesian model comparison between two predefined model alternatives, i.e. the connectivity between left visual cortex and left parietal cortex vs. the connectivity between right visual cortex and right parietal cortex. Our new approach thus allows for training voluntary control over specific functional brain networks. Because most mental functions and most neurological disorders are associated with network activity rather than with activity in a single brain region, this novel approach is an important methodological innovation in order to more directly target functionally relevant brain networks. PMID:23668967

What mental health teams want in their leaders.

PubMed

Corrigan, P W; Garman, A N; Lam, C; Leary, M

1998-11-01

The authors present the findings of the first phase of a 3-year study developing a skills training curriculum for mental health team leaders. A factor model empirically generated from clinical team members was compared to Bass' (1990) Multifactor Model of Leadership. Members of mental health teams generated individual responses to questions about effective leaders. Results from this survey were subsequently administered to a sample of mental health team members. Analysis of these data yielded six factors: Autocratic Leadership, Clear Roles and Goals, Reluctant Leadership, Vision, Diversity Issues, and Supervision. Additional analyses suggest Bass' Multifactor Model offers a useful paradigm for developing a curriculum specific to the needs of mental health team leaders.

Enhancing implementation science by applying best principles of systems science.

PubMed

Northridge, Mary E; Metcalf, Sara S

2016-10-04

Implementation science holds promise for better ensuring that research is translated into evidence-based policy and practice, but interventions often fail or even worsen the problems they are intended to solve due to a lack of understanding of real world structures and dynamic complexity. While systems science alone cannot possibly solve the major challenges in public health, systems-based approaches may contribute to changing the language and methods for conceptualising and acting within complex systems. The overarching goal of this paper is to improve the modelling used in dissemination and implementation research by applying best principles of systems science. Best principles, as distinct from the more customary term 'best practices', are used to underscore the need to extract the core issues from the context in which they are embedded in order to better ensure that they are transferable across settings. Toward meaningfully grappling with the complex and challenging problems faced in adopting and integrating evidence-based health interventions and changing practice patterns within specific settings, we propose and illustrate four best principles derived from our systems science experience: (1) model the problem, not the system; (2) pay attention to what is important, not just what is quantifiable; (3) leverage the utility of models as boundary objects; and (4) adopt a portfolio approach to model building. To improve our mental models of the real world, system scientists have created methodologies such as system dynamics, agent-based modelling, geographic information science and social network simulation. To understand dynamic complexity, we need the ability to simulate. Otherwise, our understanding will be limited. The practice of dynamic systems modelling, as discussed herein, is the art and science of linking system structure to behaviour for the purpose of changing structure to improve behaviour. A useful computer model creates a knowledge repository and a virtual library for internally consistent exploration of alternative assumptions. Among the benefits of systems modelling are iterative practice, participatory potential and possibility thinking. We trust that the best principles proposed here will resonate with implementation scientists; applying them to the modelling process may abet the translation of research into effective policy and practice.

Stochastic Accumulation by Cortical Columns May Explain the Scalar Property of Multistable Perception

NASA Astrophysics Data System (ADS)

Cao, Robin; Braun, Jochen; Mattia, Maurizio

2014-08-01

The timing of certain mental events is thought to reflect random walks performed by underlying neural dynamics. One class of such events—stochastic reversals of multistable perceptions—exhibits a unique scalar property: even though timing densities vary widely, higher moments stay in particular proportions to the mean. We show that stochastic accumulation of activity in a finite number of idealized cortical columns—realizing a generalized Ehrenfest urn model—may explain these observations. Modeling stochastic reversals as the first-passage time of a threshold number of active columns, we obtain higher moments of the first-passage time density. We derive analytical expressions for noninteracting columns and generalize the results to interacting columns in simulations. The scalar property of multistable perception is reproduced by a dynamic regime with a fixed, low threshold, in which the activation of a few additional columns suffices for a reversal.

The Third Rail of Family Systems: Sibling Relationships, Mental and Behavioral Health, and Preventive Intervention in Childhood and Adolescence

PubMed Central

Feinberg, Mark E.; Solmeyer, Anna R.; McHale, Susan M.

2011-01-01

Sibling relationships are an important context for development, but are often ignored in research and preventive interventions with youth and families. In childhood and adolescence siblings spend considerable time together, and siblings’ characteristics and sibling dynamics substantially influence developmental trajectories and outcomes. This paper reviews research on sibling relationships in childhood and adolescence, focusing on sibling dynamics as part of the family system and sibling influences on adjustment problems, including internalizing and externalizing behaviors and substance use. We present a theoretical model that describes three key pathways of sibling influence: one that extends through siblings’ experiences with peers and school, and two that operate largely through family relationships. We then describe the few existing preventive interventions that target sibling relationships and discuss the potential utility of integrating siblings into child and family programs. PMID:22105663

Police Mental Health Partnership project: Police Ambulance Crisis Emergency Response (PACER) model development.

PubMed

Huppert, David; Griffiths, Matthew

2015-10-01

To review internationally recognized models of police interactions with people experiencing mental health crises that are sometimes complex and associated with adverse experience for the person in crisis, their family and emergency service personnel. To develop, implement and review a partnership model trial between mental health and emergency services that offers alternative response pathways with improved outcomes in care. Three unique models of police and mental health partnership in the USA were reviewed and used to develop the PACER (Police Ambulance Crisis Emergency Response) model. A three month trial of the model was implemented and evaluated. Significant improvements in response times, the interactions with and the outcomes for people in crisis were some of the benefits shown when compared with usual services. The pilot showed that a partnership involving mental health and police services in Melbourne, Australia could be replicated based on international models. Initial data supported improvements compared with usual care. Further data collection regarding usual care and this new model is required to confirm observed benefits. © The Royal Australian and New Zealand College of Psychiatrists 2015.

Team Knowledge Sharing Intervention Effects on Team Shared Mental Models and Student Performance in an Undergraduate Science Course

ERIC Educational Resources Information Center

Sikorski, Eric G.; Johnson, Tristan E.; Ruscher, Paul H.

2012-01-01

The purpose of this study was to examine the effects of a shared mental model (SMM) based intervention on student team mental model similarity and ultimately team performance in an undergraduate meteorology course. The team knowledge sharing (TKS) intervention was designed to promote team reflection, communication, and improvement planning.…

Exploring Undergraduate Students' Mental Models of the Environment: Are They Related to Environmental Affect and Behavior?

ERIC Educational Resources Information Center

Liu, Shu-Chiu; Lin, Huann-shyang

2015-01-01

A draw-and-explain task and questionnaire were used to explore Taiwanese undergraduate students' mental models of the environment and whether and how they relate to their environmental affect and behavioral commitment. We found that students generally held incomplete mental models of the environment, focusing on objects rather than on processes or…

Mediating Mental Models of Metals: Acknowledging the Priority of the Learner's Prior Learning

ERIC Educational Resources Information Center

Taber, Keith S.

2003-01-01

This paper describes the conceptualizations, or mental models, of the nature of the bonding and structure of metals of a group of U.K. college students. It is suggested that these mental models may be understood in terms of the students' prior learning about covalent and ionic bonding, and the prevalence of a common alternative conceptual…

Exploring the Characteristics and Diverse Sources of Students' Mental Models of Acids and Bases

ERIC Educational Resources Information Center

Lin, Jing-Wen; Chiu, Mei-Hung

2007-01-01

This study was part of a 6-year integrated project designed to build a databank of students' science conceptions in Taiwan. The main purpose of this study was to identify the characteristics of students' mental models regarding acids/bases, understand their changes in mental models, and explore sources that might influence students in constructing…

Examining Teacher Mental Models for the Implementation of a STEM-Focused Curriculum Paradigm in Engineering and Technology Education

ERIC Educational Resources Information Center

Kerr, Janel M.

2013-01-01

The purpose of this study was to explore the role of mental models in Idaho's Engineering and Technology Education teachers' in decision making when faced with major curriculum changes. Senge (1990) defined mental models as, "deeply ingrained assumptions, generalizations, or even pictures or images that influence how we understand the world…

The Relationship between Shared Mental Models and Task Performance in an Online Team- Based Learning Environment

ERIC Educational Resources Information Center

Johnson, Tristan E.; Lee, Youngmin

2008-01-01

In an effort to better understand learning teams, this study examines the effects of shared mental models on team and individual performance. The results indicate that each team's shared mental model changed significantly over the time that subjects participated in team-based learning activities. The results also showed that the shared mental…

The Impact of Field Trips and Family Involvement on Mental Models of the Desert Environment

ERIC Educational Resources Information Center

Judson, Eugene

2011-01-01

This study examined the mental models of the desert environment held by fourth- and seventh-grade students in the USA and whether those mental models could be affected by: (1) classroom field trips to a desert riparian preserve, and (2) interaction with family members at the same preserve. Results generally indicated that students in this study…

Application of a model for the development of a mental health service delivery collaboration between police and the health service.

PubMed

Laing, Robert; Halsey, Rebecca; Donohue, David; Newman, Claire; Cashin, Andrew

2009-05-01

Changing societal trends have revealed an increased prevalence of mental illness and diminished health resources from which to offer services. This has lead to a need to develop new and more efficient police and health service models of practice. Services offered by the police department in the management of mental health crisis in the community are essential in minimising the risk of individuals with mental health problems causing harm to themselves or a member of the public. In addressing the difficulties associated with police playing an important role in the management of mental health crisis in the community, but having little training in mental health issues, this paper discusses a proposed innovation for New South Wales police in Australia through the development of a Crisis Intervention Team model.

More Than a Feeling? An Empirical Analysis of the Dual-Continua Model on a National Sample of Lesbian, Gay, and Bisexual Identified Canadians.

PubMed

Peter, Tracey

2017-08-11

The goal of the study is to investigate whether positive mental health complements mental illness within a theoretically informed (the dual-continua model) and psychometrically tested (the Mental Health Continuum-Short Form) framework. National-level, population-based data from the 2012 Canadian Community Health Survey on Mental Health (CCHS-MH) was used, with comparisons between sexual minority and heterosexual adults. Results show that gay, lesbian, and bisexual Canadians have substantially lower rates of positive mental health and are more likely to have been diagnosed with a mental illness, with the disparities between health and illness being the most pronounced among lesbians and bisexual females. Results show considerable support for the dual-continua model, which posits that the absence of health does not automatically translate into the presence of illness, and vice versa. Suggestions are made for practitioners and researchers toward the use of the dual-continua model as a surveillance tool, especially among sexual minority individuals.

Taoism and its impact on mental health of the Chinese communities.

PubMed

Yip, Kam-shing

2004-03-01

Spirituality and religious coping is an important and rapidly expanding field in recent years. For the Chinese, traditional Taoism may still have a strong impact on the mental health of Chinese people. Taoistic concepts of mental health stress the transcendence from self and secularity, the dynamic revertism of nature, integration with nature and the pursuit of the infinite. Compared with western concepts of mental health, Taoism advocates self-transcendence, integration with the Law of Nature, inaction and infinite frame of reference instead of social attainment, self-development, progressive endeavor and personal interpretation. By means of a case illustration, the writer tries to describe its impacts on help-seeking, stress and coping, and the meaning of life of a Chinese family. Its generalization to different types of Chinese communities is also discussed.

Organisational justice and mental health: a systematic review of prospective studies.

PubMed

Ndjaboué, Ruth; Brisson, Chantal; Vézina, Michel

2012-10-01

The models most commonly used, to study the effects of psychosocial work factors on workers' health, are the demand-control-support (DCS) model and Effort-Reward Imbalance (ERI) model. An emerging body of research has identified Organisational Justice as another model that can help to explain deleterious health effects. This review aimed: (1) to identify prospective studies of the associations between organisational justice and mental health in industrialised countries from 1990 to 2010; (2) to evaluate the extent to which organisational justice has an effect on mental health independently of the DCS and ERI models; and (3) to discuss theoretical and empirical overlap and differences with previous models. The studies had to present associations between organisational justice and a mental health outcome, be prospective, and be entirely available in English or in French. Duplicated papers were excluded. Eleven prospective studies were selected for this review. They provide evidence that procedural justice and relational justice are associated with mental health. These associations remained significant even after controlling for the DCS and ERI models. There is a lack of prospective studies on distributive and informational justice. In conclusion, procedural and relational justice can be considered a different and complementary model to the DCS and ERI models. Future studies should evaluate the effect of change in exposure to organisational justice on employees' mental health over time.

Mental health promotion in comprehensive schools.

PubMed

Onnela, A M; Vuokila-Oikkonen, P; Hurtig, T; Ebeling, H

2014-09-01

The purpose of this paper is to describe a participatory action research process on the development of a professional practice model of mental health nurses in mental health promotion in a comprehensive school environment in the city of Oulu, Finland. The developed model is a new method of mental health promotion for mental health nurses working in comprehensive schools. The professional practice model has been developed in workshops together with school staff, interest groups, parents and students. Information gathered from the workshops was analysed using action research methods. Mental health promotion interventions are delivered at three levels: universal, which is an intervention that affects the whole school or community; selective, which is an intervention focusing on a certain group of students; and indicated, which is an individually focused intervention. All interventions are delivered within the school setting, which is a universal setting for all school-aged children. The interventions share the goal of promoting mental health. The purposes of the interventions are enhancing protective factors, reducing risk factors relating to mental health problems and early identification of mental health problems as well as rapid delivery of support or referral to specialized services. The common effect of the interventions on all levels is the increase in the experience of positive mental health. © 2014 John Wiley & Sons Ltd.

Modeling of recovery profiles in mentally disabled and intact patients after sevoflurane anesthesia; a pharmacodynamic analysis.

PubMed

Shin, Teo Jeon; Noh, Gyu-Jeong; Koo, Yong-Seo; Han, Dong Woo

2014-11-01

Mentally disabled patients show different recovery profiles compared to normal patients after general anesthesia. However, the relationship of dose-recovery profiles of mentally disabled patients has never been compared to that of normal patients. Twenty patients (10 mentally disabled patients and 10 mentally intact patients) scheduled to dental surgery under general anesthesia was recruited. Sevoflurane was administered to maintain anesthesia during dental treatment. At the end of the surgery, sevoflurane was discontinued. End-tidal sevoflurane and recovery of consciousness (ROC) were recorded after sevoflurane discontinuation. The pharmacodynamic relation between the probability of ROC and end-tidal sevoflurane concentration was analyzed using NONMEM software (version VII). End-tidal sevoflurane concentration associated with 50% probability of ROC (C₅₀) and γ value were lower in the mentally disabled patients (C₅₀=0.37 vol %, γ=16.5 in mentally intact patients, C₅₀=0.19 vol %, γ=4.58 in mentally disabled patients). Mentality was a significant covariate of C₅₀ for ROC and γ value to pharmacodynamic model. A sigmoid Emanx model explains the pharmacodynamic relationship between end-tidal sevoflurane concentration and ROC. Mentally disabled patients may recover slower from anesthesia at lower sevoflurane concentration at ROC an compared to normal patients.

Modeling of Recovery Profiles in Mentally Disabled and Intact Patients after Sevoflurane Anesthesia; A Pharmacodynamic Analysis

PubMed Central

Shin, Teo Jeon; Noh, Gyu-Jeong; Koo, Yong-Seo

2014-01-01

Purpose Mentally disabled patients show different recovery profiles compared to normal patients after general anesthesia. However, the relationship of dose-recovery profiles of mentally disabled patients has never been compared to that of normal patients. Materials and Methods Twenty patients (10 mentally disabled patients and 10 mentally intact patients) scheduled to dental surgery under general anesthesia was recruited. Sevoflurane was administered to maintain anesthesia during dental treatment. At the end of the surgery, sevoflurane was discontinued. End-tidal sevoflurane and recovery of consciousness (ROC) were recorded after sevoflurane discontinuation. The pharmacodynamic relation between the probability of ROC and end-tidal sevoflurane concentration was analyzed using NONMEM software (version VII). Results End-tidal sevoflurane concentration associated with 50% probability of ROC (C50) and γ value were lower in the mentally disabled patients (C50=0.37 vol %, γ=16.5 in mentally intact patients, C50=0.19 vol %, γ=4.58 in mentally disabled patients). Mentality was a significant covariate of C50 for ROC and γ value to pharmacodynamic model. Conclusion A sigmoid Emanx model explains the pharmacodynamic relationship between end-tidal sevoflurane concentration and ROC. Mentally disabled patients may recover slower from anesthesia at lower sevoflurane concentration at ROC an compared to normal patients. PMID:25323901

On the ontological assumptions of the medical model of psychiatry: philosophical considerations and pragmatic tasks

PubMed Central

2010-01-01

A common theme in the contemporary medical model of psychiatry is that pathophysiological processes are centrally involved in the explanation, evaluation, and treatment of mental illnesses. Implied in this perspective is that clinical descriptors of these pathophysiological processes are sufficient to distinguish underlying etiologies. Psychiatric classification requires differentiation between what counts as normality (i.e.- order), and what counts as abnormality (i.e.- disorder). The distinction(s) between normality and pathology entail assumptions that are often deeply presupposed, manifesting themselves in statements about what mental disorders are. In this paper, we explicate that realism, naturalism, reductionism, and essentialism are core ontological assumptions of the medical model of psychiatry. We argue that while naturalism, realism, and reductionism can be reconciled with advances in contemporary neuroscience, essentialism - as defined to date - may be conceptually problematic, and we pose an eidetic construct of bio-psychosocial order and disorder based upon complex systems' dynamics. However we also caution against the overuse of any theory, and claim that practical distinctions are important to the establishment of clinical thresholds. We opine that as we move ahead toward both a new edition of the Diagnostic and Statistical Manual, and a proposed Decade of the Mind, the task at hand is to re-visit nosologic and ontologic assumptions pursuant to a re-formulation of diagnostic criteria and practice. PMID:20109176

Postwar environment and long-term mental health problems in former child soldiers in Northern Uganda: the WAYS study.

PubMed

Amone-P'Olak, Kennedy; Stochl, Jan; Ovuga, Emilio; Abbott, Rosemary; Meiser-Stedman, Richard; Croudace, Tim J; Jones, Peter B

2014-05-01

War experiences (WE) and postwar environments (PWE) are associated with mental ill-health. The present study aims to investigate the pathways from WE and PWE to mental ill-health and to define opportunities for intervention through analysis of the war-affected youths study (WAYS) cohort study. WAYS is an ongoing study of a large cohort of former child soldiers being conducted in Uganda. Mental health problems, subjective WE and PWE contexts were assessed by local adaptations of internationally developed measures for use with former child soldiers at least 6 years after the end of the war. Structural equation modeling was used to test two mediation hypotheses: (1) the 'trauma model' in which WE directly influence long-term mental health and (2) the 'psychosocial path' in which WE influence long-term mental health through PWE stressors. WE were linked to depression/anxiety (β=0.15 (95% CI 0.01 to 0.30)) through PWE (accounting for 44% of the variance in the relationship between these variables) and to conduct problems (β=0.23 (95% CI 0.03 to 0.43); (accounting for 89% of the variance, ie, near complete mediation)). The direct relation between WE and depression/anxiety attenuated but remained statistically significant. For conduct problems, the direct relationship was no longer significant after accounting for PWE. PWE are a key determinant of continued mental health problems in former child soldiers. Interventions to reduce long-term mental problems should address both PWE stressors (psychosocial model) and specialised mental healthcare (trauma model) and consider both models of intervention as complementary.

An analysis of stakeholder views on children's mental health services.

PubMed

Rodríguez, Adriana; Southam-Gerow, Michael A; O'Connor, Mary Katherine; Allin, Robert B

2014-01-01

The purpose was to examine the perspectives of mental health stakeholders as a means to guide the adaptation of evidence-based treatments. The Mental Health System Ecological (MHSE) model was used to organize therapist, administrator, and parent perspectives gathered using qualitative methods. The MHSE model posits the influences of client-level, provider-level, intervention-specific, service delivery, organizational, and service system characteristics on implementation. Focus groups and interviews were conducted with community mental health stakeholders and included parents, therapists, and administrators (N = 21). Participants included 11 primarily Caucasian (90.48%) female participants, ranging in ages between 31 and 57 years. Data were analyzed according to the MHSE model. Frequency counts were tabulated for each theme and stakeholder group differences were determined using the Mann-Whitney test. Stakeholder groups mentioned needs at each level of the MHSE model. Stakeholder group differences most notably emerged with child and family themes, which included complexity of mental health issues, parenting differences, and family stressors. Stakeholders identified challenges for optimal mental health services for children across multiple levels of an ecological model. Implications of the findings are discussed, including the continued relevance of adapting mental health interventions by increasing their flexible application across multiple target problems and the promise of partnership approaches.

Measurement and description of underlying dimensions of comorbid mental disorders using Factor Mixture Models: results of the ESEMeD project.

PubMed

Almansa, Josué; Vermunt, Jeroen K; Forero, Carlos G; Vilagut, Gemma; De Graaf, Ron; De Girolamo, Giovanni; Alonso, Jordi

2011-06-01

Epidemiological studies on mental health and mental comorbidity are usually based on prevalences and correlations between disorders, or some other form of bivariate clustering of disorders. In this paper, we propose a Factor Mixture Model (FMM) methodology based on conceptual models aiming to measure and summarize distinctive disorder information in the internalizing and externalizing dimensions. This methodology includes explicit modelling of subpopulations with and without 12 month disorders ("ill" and "healthy") by means of latent classes, as well as assessment of model invariance and estimation of dimensional scores. We applied this methodology with an internalizing/externalizing two-factor model, to a representative sample gathered in the European Study of the Epidemiology of Mental Disorders (ESEMeD) study -- which includes 8796 individuals from six countries, and used the CIDI 3.0 instrument for disorder assessment. Results revealed that southern European countries have significantly higher mental health levels concerning internalizing/externalizing disorders than central countries; males suffered more externalizing disorders than women did, and conversely, internalizing disorders were more frequent in women. Differences in mental-health level between socio-demographic groups were due to different proportions of healthy and ill individuals and, noticeably, to the ameliorating influence of marital status on severity. An advantage of latent model-based scores is that the inclusion of additional mental-health dimensional information -- other than diagnostic data -- allows for greater precision within a target range of scores. Copyright © 2011 John Wiley & Sons, Ltd.

Mental health affects future employment as job loss affects mental health: findings from a longitudinal population study.

PubMed

Olesen, Sarah C; Butterworth, Peter; Leach, Liana S; Kelaher, Margaret; Pirkis, Jane

2013-05-24

Workforce participation is a key feature of public mental health and social inclusion policies across the globe, and often a therapeutic goal in treatment settings. Understanding the reciprocal relationship between participation and mental health has been limited by inadequate research methods. This is the first study to simultaneously examine and contrast the relative effects of unemployment on mental health and mental health on employment status in a single general population sample. Data were from working-age respondents (20 to 55 years at baseline) who completed nine waves of the Household, Income and Labour Dynamics in Australia (HILDA) Survey (N=7176). Cross-lagged path analyses were used to test the lagged and concurrent associations between unemployment and mental health over time, adjusting for sociodemographic characteristics. Mental health was shown to be both a consequence of and risk factor for unemployment. Thus, the poorer mental health observed amongst people who are not working is attributable to both the impact of unemployment and existing mental health problems. While the strength of these two effects was similar for women, the results for men suggested that the effect of unemployment on subsequent mental health was weaker than the effect of mental health on subsequent risk of unemployment. Disentangling the reciprocal links between mental health and workforce participation is central to the development and success of clinical goals and health and social policies that aim to promote either aspect. This study demonstrates that both effects are important and supports concurrent responses to prevent a cycle of disadvantage and entrenched social exclusion.

Mental health affects future employment as job loss affects mental health: findings from a longitudinal population study

PubMed Central

2013-01-01

Background Workforce participation is a key feature of public mental health and social inclusion policies across the globe, and often a therapeutic goal in treatment settings. Understanding the reciprocal relationship between participation and mental health has been limited by inadequate research methods. This is the first study to simultaneously examine and contrast the relative effects of unemployment on mental health and mental health on employment status in a single general population sample. Method Data were from working-age respondents (20 to 55 years at baseline) who completed nine waves of the Household, Income and Labour Dynamics in Australia (HILDA) Survey (N=7176). Cross-lagged path analyses were used to test the lagged and concurrent associations between unemployment and mental health over time, adjusting for sociodemographic characteristics. Results Mental health was shown to be both a consequence of and risk factor for unemployment. Thus, the poorer mental health observed amongst people who are not working is attributable to both the impact of unemployment and existing mental health problems. While the strength of these two effects was similar for women, the results for men suggested that the effect of unemployment on subsequent mental health was weaker than the effect of mental health on subsequent risk of unemployment. Conclusion Disentangling the reciprocal links between mental health and workforce participation is central to the development and success of clinical goals and health and social policies that aim to promote either aspect. This study demonstrates that both effects are important and supports concurrent responses to prevent a cycle of disadvantage and entrenched social exclusion. PMID:23705753

Familiarity with and social distance from people who have serious mental illness.

PubMed

Corrigan, P W; Green, A; Lundin, R; Kubiak, M A; Penn, D L

2001-07-01

This study examined the effects of familiarity with and social distance from persons who have serious mental illness on stigmatizing attitudes about mental illness. A total of 208 community college students completed three written measures about familiarity, perception of dangerousness, fear, and social distance. Path analysis with manifest-variable structural modeling techniques was used to test a version of a model in which familiarity influences the perception of dangerousness, which in turn influences fear, which influences social distance from persons with serious mental illness. Most of the participants reported experience with mental illness. Scores on the three written measures largely supported the path model. Correlations between the perception of dangerousness and fear as well as between fear and social distance were particularly strong. Approaches to social change that increase the public's familiarity with serious mental illness will decrease stigma. Further studies are warranted that focus on how contact between members of the general public and persons who have serious mental illness may be facilitated.

A prison mental health in-reach model informed by assertive community treatment principles: evaluation of its impact on planning during the pre-release period, community mental health service engagement and reoffending.

PubMed

McKenna, Brian; Skipworth, Jeremy; Tapsell, Rees; Madell, Dominic; Pillai, Krishna; Simpson, Alexander; Cavney, James; Rouse, Paul

2015-12-01

It is well recognised that prisoners with serious mental illness (SMI) are at high risk of poor outcomes on return to the community. Early engagement with mental health services and other community agencies could provide the substrate for reducing risk. To evaluate the impact of implementing an assertive community treatment informed prison in-reach model of care (PMOC) on post-release engagement with community mental health services and on reoffending rates. One hundred and eighty prisoners with SMI released from four prisons in the year before implementation of the PMOC were compared with 170 such prisoners released the year after its implementation. The assertive prison model of care was associated with more pre-release contacts with community mental health services and contacts with some social care agencies in some prisons. There were significantly more post-release community mental health service engagements after implementation of this model (Z = -2.388, p = 0.02). There was a trend towards reduction in reoffending rates after release from some of the prisons (Z =1.82, p = 0.07). Assertive community treatment applied to prisoners with mental health problems was superior to 'treatment as usual', but more work is needed to ensure that agencies will engage prisoners in pre-release care. The fact that the model showed some benefits in the absence of any increase in resources suggests that it may be the model per se that is effective. Copyright © 2014 John Wiley & Sons, Ltd.

Dynamical Origins of Stereotypy: Relation of Postural Movements during Sitting to Stereotyped Movements during Body-Rocking

ERIC Educational Resources Information Center

Newell, Karl M.; Bodfish, James W.

2007-01-01

The relation between the movement dynamic properties of sitting still and of seated body-rocking in adults with stereotyped movement disorder and mental retardation and a contrast group of typically developing age-matched adults was examined. Continuous measurement of sequential displacements in center-of-pressure was made using a force platform…

Stereotypy and Motor Control: Differences in the Postural Stability Dynamics of Persons with Stereotyped and Dyskinetic Movement Disorders.

ERIC Educational Resources Information Center

Bodfish, James W.; Parker, Dawn E.; Lewis, Mark H.; Sprague, Robert L.; Newell, Karl M.

2001-01-01

This study examined whether dynamic measures of postural stability differentiated stereotyped movement disorder from dyskinetic movement disorder in a severely mentally retarded population. Participants (N=20) with either stereotypy or dyskinesia movement disorders and a control group were given a goal-oriented postural stability task. Both groups…

Intrapsychic dynamics, behavioral manifestations, and related interventions with youthful fire setters.

PubMed

Williams, Dian L; Clements, Paul T

2007-01-01

Fire setting in youth has often been overlooked and misunderstood as a coping skill for expressing rage. The act of deliberate fire setting, if uninterrupted, may continue throughout an individual's lifetime. Forensic examiners, mental health care providers, and criminal justice professionals can help guide referral and treatment through better understanding of behaviors and intrapsychic dynamics.

Domain Specific vs Domain General: Implications for Dynamic Assessment

ERIC Educational Resources Information Center

Kaniel, Shlomo

2010-01-01

The article responds to the need for evidence-based dynamic assessment. The article is divided into two sections: In Part 1 we examine the scientific answer to the question of how far human mental activities and capabilities are domain general (DG) / domain specific (DS). A highly complex answer emerges from the literature review of domains such…

Images of the World: Mental Maps of U.S. Military Officers

DTIC Science & Technology

1992-05-01

only displayed the geographic characteristics of the countries, (the direction, distance, and size; all relative to the U.S.) but the maps also indicate...individual’s mental map is based upon learned facts and exposure to impressionable images. Facts and images of the world constitute the foundation from... characteristics of the world are mostly static, images people have of places are dynamic and fluid. Graphically, this is the main difference between

Investigating students’ mental models about the nature of light in different contexts

NASA Astrophysics Data System (ADS)

Özcan, Özgür

2015-11-01

In this study, we investigated pre-service physics teachers’ mental models of light in different contexts, such as blackbody radiation, the photoelectric effect and the Compton effect. The data collected through the paper-and-pencil questionnaire (PPQ) were analyzed both quantitatively and qualitatively. Sampling of this study consists of a total of 110 physics education students who were taking a modern physics course at two different state universities in Turkey. As a result, three mental models, which were called the beam ray model (BrM), hybrid model (HM) and particle model (PM), were being used by the students while explaining these phenomena. The most model fluctuation was seen in HM and BrM. In addition, some students were in a mixed-model state where they use multiple mental models in explaining a phenomenon and used these models inconsistently. On the other hand, most of the students who used the particle model can be said to be in a pure model state.

Promoting and Protecting Mental Health as Flourishing: A Complementary Strategy for Improving National Mental Health

ERIC Educational Resources Information Center

Keyes, Corey L. M.

2007-01-01

This article summarizes the conception and diagnosis of the mental health continuum, the findings supporting the two continua model of mental health and illness, and the benefits of flourishing to individuals and society. Completely mentally healthy adults--individuals free of a 12-month mental disorder and flourishing--reported the fewest missed…

The Congruence of Mental Models amongst District and Site Level Administrators of Walkthroughs as a Vehicle for System-Wide School Improvement

ERIC Educational Resources Information Center

Evans, Lisa Marie

2010-01-01

Though change theorists recognize the importance of individuals within change efforts, the impact of perceptions, or mental models, on change initiatives at the organizational level is not fully understood. The purpose of this qualitative study was to gain a greater understanding of the mental models (beliefs, attitudes, knowledge, and feelings)…

The Impact of Secondary School Students' Preconceptions on the Evolution of Their Mental Models of the Greenhouse Effect and Global Warming

ERIC Educational Resources Information Center

Reinfried, Sibylle; Tempelmann, Sebastian

2014-01-01

This paper provides a video-based learning process study that investigates the kinds of mental models of the atmospheric greenhouse effect 13-year-old learners have and how these mental models change with a learning environment, which is optimised in regard to instructional psychology. The objective of this explorative study was to observe and…

A Comparison between Elementary School Students' Mental Models and Visualizations in Textbooks for the Concept of Atom

ERIC Educational Resources Information Center

Polat-Yaseen, Zeynep

2012-01-01

This study was designed for two major goals, which are to describe students' mental models about atom concept from 6th to 8th grade and to compare students' mental models with visual representations of atom in textbooks. Qualitative and quantitative data were collected with 4 open-ended questions including drawings which were quantified using the…

The Effect of Team Training Strategies on Team Mental Model Formation and Team Performance under Routine and Non-Routine Environmental Conditions

ERIC Educational Resources Information Center

Hamilton, Katherine L.

2009-01-01

The current study examined how the type of training a team receives (team coordination training vs. cross-training) influences the type of team mental model structures that form and how those mental models in turn impact team performance under different environmental condition (routine vs. non-routine). Three-hundred and fifty-two undergraduate…

Money's (not) on my mind: a qualitative study of how staff and managers understand health care's triple Aim.

PubMed

Storkholm, Marie Höjriis; Mazzocato, Pamela; Savage, Mairi; Savage, Carl

2017-01-31

The "Triple Aim" - provision of a better care experience and improved population health at a lower cost - may be theoretically sound, but paradoxical in practice as it forces together the logics of management and medicine. The aim of this study was to explore how staff and managers understand the change imperative inherent to the Triple Aim and the mental models underlying their understanding. This qualitative study builds on thirty semi-structured interviews conducted with managers, nurses, midwives, medical secretaries, and physicians at a department of Gynecology and Obstetrics in Denmark who successfully cut costs through staff and bed reductions and, from what we can ascertain, maintained care quality. Mental models were articulated from a content analysis of the interviews. Staff and managers identified with the different dimensions of the Triple Aim along classic professional divides, i.e. nurses and midwives focused on patient experience, physicians on health outcomes, and manager on all three. Underlying these, we found four mental models. The understanding of change was guided by a Professional ethos (inner drive to improve care) and a Socio-political discourse (external requirement to become more efficient) mental model. The understanding of economics was guided by a You-get-what-you-pay-for and by a More-bang-for-the-buck mental model. A complex interplay could be discerned between all four, which led staff to see the Triple Aim as a dilemma between quality and economics and a threat to clinical care and quality, whereas managers saw it as a paradox that invited improvement efforts. Despite these differences, managers chose a change strategy in line with staff mental models. The practical challenges inherent to the Triple Aim may be symptomatic of the interactions between the different mental models that guide staff and managers' understanding and choice of change strategies. Pursuit of quality improvement in the face of financial constraints (the essence of the Triple Aim) may be facilitated through conscious exploration of these empirically identified mental models. Managers might do well to translate the socio-political discourse into a change process that resonates with the mental models held by staff.

Interagency collaboration models for people with mental ill health in contact with the police: a systematic scoping review

PubMed Central

Scantlebury, Arabella; Booth, Alison; MacBryde, Jillian Catherine; Scott, William J; Wright, Kath

2018-01-01

Objective To identify existing evidence on interagency collaboration between law enforcement, emergency services, statutory services and third sector agencies regarding people with mental ill health. Design Systematic scoping review. Scoping reviews map particular research areas to identify research gaps. Data sources and eligibility ASSIA, CENTRAL, the Cochrane Library databases, Criminal Justice Abstracts, ERIC, Embase, MEDLINE, PsycINFO, PROSPERO and Social Care Online and Social Sciences Citation Index were searched up to 2017, as were grey literature and hand searches. Eligible articles were empirical evaluations or descriptions of models of interagency collaboration between the police and other agencies. Study appraisal and synthesis Screening and data extraction were undertaken independently by two researchers. Arksey’s framework was used to collate and map included studies. Results One hundred and twenty-five studies were included. The majority of articles were of descriptions of models (28%), mixed methods evaluations of models (18%) and single service evaluations (14%). The most frequently reported outcomes (52%) were ‘organisational or service level outcomes’ (eg, arrest rates). Most articles (53%) focused on adults with mental ill health, whereas others focused on adult offenders with mental ill health (17.4%). Thirteen models of interagency collaboration were described, each involving between 2 and 13 agencies. Frequently reported models were ‘prearrest diversion’ of people with mental ill health (34%), ‘coresponse’ involving joint response by police officers paired with mental health professionals (28.6%) and ‘jail diversion’ following arrest (23.8%). Conclusions We identified 13 different interagency collaboration models catering for a range of mental health-related interactions. All but one of these models involved the police and mental health services or professionals. Several models have sufficient literature to warrant full systematic reviews of their effectiveness, whereas others need robust evaluation, by randomised controlled trial where appropriate. Future evaluations should focus on health-related outcomes and the impact on key stakeholders. PMID:29588323

Interagency collaboration models for people with mental ill health in contact with the police: a systematic scoping review.

PubMed

Parker, Adwoa; Scantlebury, Arabella; Booth, Alison; MacBryde, Jillian Catherine; Scott, William J; Wright, Kath; McDaid, Catriona

2018-03-27

To identify existing evidence on interagency collaboration between law enforcement, emergency services, statutory services and third sector agencies regarding people with mental ill health. Systematic scoping review. Scoping reviews map particular research areas to identify research gaps. ASSIA, CENTRAL, the Cochrane Library databases, Criminal Justice Abstracts, ERIC, Embase, MEDLINE, PsycINFO, PROSPERO and Social Care Online and Social Sciences Citation Index were searched up to 2017, as were grey literature and hand searches. Eligible articles were empirical evaluations or descriptions of models of interagency collaboration between the police and other agencies. Screening and data extraction were undertaken independently by two researchers. Arksey's framework was used to collate and map included studies. One hundred and twenty-five studies were included. The majority of articles were of descriptions of models (28%), mixed methods evaluations of models (18%) and single service evaluations (14%). The most frequently reported outcomes (52%) were 'organisational or service level outcomes' (eg, arrest rates). Most articles (53%) focused on adults with mental ill health, whereas others focused on adult offenders with mental ill health (17.4%). Thirteen models of interagency collaboration were described, each involving between 2 and 13 agencies. Frequently reported models were 'prearrest diversion' of people with mental ill health (34%), 'coresponse' involving joint response by police officers paired with mental health professionals (28.6%) and 'jail diversion' following arrest (23.8%). We identified 13 different interagency collaboration models catering for a range of mental health-related interactions. All but one of these models involved the police and mental health services or professionals. Several models have sufficient literature to warrant full systematic reviews of their effectiveness, whereas others need robust evaluation, by randomised controlled trial where appropriate. Future evaluations should focus on health-related outcomes and the impact on key stakeholders. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

E-learning optimization: the relative and combined effects of mental practice and modeling on enhanced podcast-based learning-a randomized controlled trial.

PubMed

Alam, Fahad; Boet, Sylvain; Piquette, Dominique; Lai, Anita; Perkes, Christopher P; LeBlanc, Vicki R

2016-10-01

Enhanced podcasts increase learning, but evidence is lacking on how they should be designed to optimize their effectiveness. This study assessed the impact two learning instructional design methods (mental practice and modeling), either on their own or in combination, for teaching complex cognitive medical content when incorporated into enhanced podcasts. Sixty-three medical students were randomised to one of four versions of an airway management enhanced podcast: (1) control: narrated presentation; (2) modeling: narration with video demonstration of skills; (3) mental practice: narrated presentation with guided mental practice; (4) combined: modeling and mental practice. One week later, students managed a manikin-based simulated airway crisis. Knowledge acquisition was assessed by baseline and retention multiple-choice quizzes. Two blinded raters assessed all videos obtained from simulated crises to measure the students' skills using a key-elements scale, critical error checklist, and the Ottawa global rating scale (GRS). Baseline knowledge was not different between all four groups (p = 0.65). One week later, knowledge retention was significantly higher for (1) both the mental practice and modeling group than the control group (p = 0.01; p = 0.01, respectively) and (2) the combined mental practice and modeling group compared to all other groups (all ps = 0.01). Regarding skills acquisition, the control group significantly under-performed in comparison to all other groups on the key-events scale (all ps ≤ 0.05), the critical error checklist (all ps ≤ 0.05), and the Ottawa GRS (all ps ≤ 0.05). The combination of mental practice and modeling led to greater improvement on the key events checklist (p = 0.01) compared to either strategy alone. However, the combination of the two strategies did not result in any further learning gains on the two other measures of clinical performance (all ps > 0.05). The effectiveness of enhanced podcasts for knowledge retention and clinical skill acquisition is increased with either mental practice or modeling. The combination of mental practice and modeling had synergistic effects on knowledge retention, but conveyed less clear advantages in its application through clinical skills.

Model Minority Stereotype: Influence on Perceived Mental Health Needs of Asian Americans.

PubMed

Cheng, Alice W; Chang, Janet; O'Brien, Janine; Budgazad, Marc S; Tsai, Jack

2017-06-01

This study examined the influence of the model minority stereotype on the perceived mental health functioning of Asian Americans. It was hypothesized that college students would perceive Asian Americans as having fewer mental health problems and clinical symptoms than Whites due to the model minority stereotype. Four hundred and twenty-five undergraduate students from a predominately White college campus in the American northeast were randomly exposed to one of four conditions: (1) a clinical vignette describing a White college student suffering from adjustment disorder; (2) the same vignette describing an Asian American college student; (3) a newspaper article describing a success story of Whites and the White clinical vignette; (4) the same newspaper article and clinical vignette describing an Asian American. Following exposure to one of the conditions, participants completed a memory recall task and measures of colorblindness, attitudes towards Asian Americans, attitudes towards out-group members, and perceived mental health functioning. Participants exposed to the vignettes primed with the positive/model minority stereotype perceived the target regardless of race/ethnicity as having better mental health functioning and less clinical symptoms than the condition without the stereotype. Additionally, the stereotype primer was found to be a modest predictor for the perception of mental health functioning in Asian American vignettes. Results shed light on the impact of the model minority stereotype on the misperception of Asian Americans' mental health status, contributing to the invisibility or neglect of this minority group's mental health needs.

Understanding the dynamics of sustainable change: A 20-year case study of integrated health and social care.

PubMed

Klinga, Charlotte; Hasson, Henna; Andreen Sachs, Magna; Hansson, Johan

2018-06-04

Change initiatives face many challenges, and only a few lead to long-term sustainability. One area in which the challenge of achieving long-term sustainability is particularly noticeable is integrated health and social care. Service integration is crucial for a wide range of patients including people with complex mental health and social care needs. However, previous research has focused on the initiation, resistance and implementation of change, while longitudinal studies remain sparse. The objective of this study was therefore to gain insight into the dynamics of sustainable changes in integrated health and social care through an analysis of local actions that were triggered by a national policy. A retrospective and qualitative case-study research design was used, and data from the model organisation's steering-committee minutes covering 1995-2015 were gathered and analysed. The analysis generated a narrative case description, which was mirrored to the key elements of the Dynamic Sustainability Framework (DSF). The development of inter-sectoral cooperation was characterized by a participatory approach in which a shared structure was created to support cooperation and on-going quality improvement and learning based on the needs of the service user. A key management principle was cooperation, not only on all organisational levels, but also with service users, stakeholder associations and other partner organisations. It was shown that all these parts were interrelated and collectively contributed to the creation of a structure and a culture which supported the development of a dynamic sustainable health and social care. This study provides valuable insights into the dynamics of organizational sustainability and understanding of key managerial actions taken to establish, develop and support integration of health and social care for people with complex mental health needs. The service user involvement and regular reviews of service users' needs were essential in order to tailor services to the needs. Another major finding was the importance of continuously adapting the content of the change to suit its context. Hence, continuous refinement of the change content was found to be more important than designing the change at the pre-implementation stage.

Dynamics of carbon dioxide concentrations in the air and its effect on the cognitive ability of school students

NASA Astrophysics Data System (ADS)

Sidorin, D. I.

2015-12-01

The carbon dioxide (CO2) production intensity by a secondary school student is studied using a nondispersive infrared CO2 logger for different conditions: relaxation, mental stress, and physical stress. CO2 production measured for mental stress is 24% higher than that for relaxation, while CO2 production for physical stress is more than 2.5 times higher than relaxation levels. Dynamics of CO2 concentration in the classroom air is measured for a typical school building. It is shown that even when the classroom is ventilated between classes, CO2 concentration exceeds 2100 parts per million (ppm), which is significantly higher than the recommended limits defined in developed countries. The ability of seventh-grade school students to perform tasks requiring mental concentration is tested under different CO2 concentration conditions (below 1000 ppm and above 2000 ppm). Five-letter word anagrams are used as test tasks. Statistical analysis of the test results revealed a significant reduction in the number of provided correct answers and an increase in the number of errors when CO2 levels exceeded 2000 ppm.

The Mental Effort-Reward Imbalances Model and Its Implications for Behaviour Management

ERIC Educational Resources Information Center

Poulton, Alison; Whale, Samina; Robinson, Joanne

2016-01-01

Attention deficit hyperactivity disorder (ADHD) is frequently associated with oppositional defiant disorder (ODD). The Mental Effort Reward Imbalances Model (MERIM) explains this observational association as follows: in ADHD a disproportionate level of mental effort is required for sustaining concentration for achievement; in ODD the subjective…

Participatory Model of Mental Health Programming: Lessons Learned from Work in a Developing Country.

ERIC Educational Resources Information Center

Nastasi, Bonnie K.; Varjas, Kristen; Sarkar, Sreeroopa; Jayasena, Asoka

1998-01-01

Describes application of participatory model for creating school-based mental health services in a developing country. Describes process of identifying individual and cultural factors relevant to mental health. Discusses importance of formative research and collaboration with stakeholders to ensure cultural specificity of interventions, and the…

Dynamics of resilience in forced migration: a 1-year follow-up study of longitudinal associations with mental health in a conflict-affected, ethnic Muslim population

PubMed Central

Siriwardhana, Chesmal; Abas, Melanie; Siribaddana, Sisira; Sumathipala, Athula; Stewart, Robert

2015-01-01

Objective The concept of ‘resilience’ is of increasing interest in studies of mental health in populations facing adversity. However, lack of longitudinal data on the dynamics of resilience and non-usage of resilience-specific measurements have prevented a better understanding of resilience-mental health interactions. Hence, the present study was conducted to investigate the stability of levels of resilience and its associations with sociodemographic and mental health exposures in a conflict-affected internal-migrant population in Sri Lanka. Design A prospective follow-up study of 1 year. Setting Puttalam district of North Western province in postconflict Sri Lanka (baseline in 2011, follow-up in 2012). Participants An ethnic Muslim population internally displaced 20 years ago (in 1990) from Northern Sri Lanka, aged 18 or above and currently in the process of return migration. Measures It was hypothesised that levels of resilience would be associated with mental health outcomes. Resilience was measured on both occasions using the 14-item Resilience Scale (RS-14), social support by the Multidimensional Social Support Scale and Lubben Social Network Scale and common mental disorders by the Patient Health Questionnaire (PHQ). Results Of 450 participants interviewed at baseline in 2011, 338 (75.1%) were re-interviewed in 2012 after a 1-year follow-up. The mean resilience scores measured by RS-14 were 80.2 (95% CI 78.6 to 81.9) at baseline and 84.9 (83.5 to 86.3) at follow-up. At both time points, lower resilience was independently associated with food insecurity, lower social support availability and social isolation. At both time points, there were significant associations with common mental disorders (CMDs) in unadjusted analyses, but they only showed independence at baseline. The CMD prevalence, maintenance and incidence at follow-up was 8.3%, 28.2% and 2.2%, respectively. Conclusions In this displaced population facing a potential reduction in adversity, resilience was more strongly and robustly associated with economic and social factors than with the presence of mental disorder. PMID:25687898

Decoding Spontaneous Emotional States in the Human Brain

PubMed Central

Kragel, Philip A.; Knodt, Annchen R.; Hariri, Ahmad R.; LaBar, Kevin S.

2016-01-01

Pattern classification of human brain activity provides unique insight into the neural underpinnings of diverse mental states. These multivariate tools have recently been used within the field of affective neuroscience to classify distributed patterns of brain activation evoked during emotion induction procedures. Here we assess whether neural models developed to discriminate among distinct emotion categories exhibit predictive validity in the absence of exteroceptive emotional stimulation. In two experiments, we show that spontaneous fluctuations in human resting-state brain activity can be decoded into categories of experience delineating unique emotional states that exhibit spatiotemporal coherence, covary with individual differences in mood and personality traits, and predict on-line, self-reported feelings. These findings validate objective, brain-based models of emotion and show how emotional states dynamically emerge from the activity of separable neural systems. PMID:27627738

Motor performance and correlates of mental health in children who are deaf or hard of hearing.

PubMed

Fellinger, Matthäus J; Holzinger, Daniel; Aigner, Martin; Beitel, Christoph; Fellinger, Johannes

2015-10-01

This cross-sectional study investigates the relationship between motor performance and mental health in a representative population of children with hearing impairment. Ninety-three pupils (45 males, 48 females) aged 6 years to 16 years (mean 11 y 3 mo, SD 2 y 9 mo) with hearing impairment of at least 40 dB and a Nonverbal IQ greater than 70 were assessed for motor performance with the Zürich Neuromotor Assessment (ZNA) and for mental health with the parent version of the Strengths and Difficulties Questionnaire (SDQ). Children with hearing impairment had lower motor performance scores in all four ZNA subscales compared with ZNA norms (z-scores -1.42 to -2.67). After controlling for Nonverbal IQ, ZNA pure motor performance correlated negatively with the SDQ total difficulties score. Pure motor, pegboard, and dynamic balance subscales correlated negatively with peer-relationship problems. Dynamic balance correlated negatively with emotional problems. Performance in pure motor and dynamic balance skills correlated negatively with age. Except for static balance, no correlation was found between motor performance and the degree of hearing impairment. Results confirm that a high percentage of children with hearing impairment have poor motor performance. These problems are associated with difficulties in social relationships. Early recognition of these problems may lead to interventions to assist children with hearing impairment with their peer relationships. © 2015 Mac Keith Press.

Schizophrenia: Impact on Family Dynamics.

PubMed

Caqueo-Urízar, Alejandra; Rus-Calafell, Mar; Craig, Thomas K J; Irarrazaval, Matias; Urzúa, Alfonso; Boyer, Laurent; Williams, David R

2017-01-01

In many societies, family members are now the primary caregivers of mental health patients, taking on responsibilities traditionally under the purview of hospitals and medical professionals. The impact of this shift on the family is high, having both an emotional and economic toll. The aim of this paper is to review the main changes that occur in family dynamics for patients with schizophrenia. The article addresses three central themes: (i) changes in the family at the onset of the disorder, (ii) consequences for family members because of their caregiver role, and (iii) family interventions aimed at improving the complex dynamics within the family. After analyzing and discussing these themes, it is observed that despite advances in the field, the viability of taking care of a patient with schizophrenia by the family remains a challenge. Improving care will require commitments from the family, the mental health service system, and local and national governments for greater investments to improve the quality of life of society in general and individuals with schizophrenia in particular.

Predicting Help-Seeking Attitudes Toward Mental Health Services Among American Indian Older Adults: Is Andersen's Behavioral Model a Good Fit?

PubMed

Roh, Soonhee; Burnette, Catherine E; Lee, Kyoung Hag; Lee, Yeon-Shim; Martin, James I; Lawler, Michael J

2017-01-01

American Indian (AI) older adults are vulnerable to mental health disparities, yet very little is known about the factors associated with help-seeking for mental health services among them. The purpose of this study was to investigate the utility of Andersen's Behavioral Model in explaining AI older adults' help-seeking attitudes toward professional mental health services. Hierarchical regression analysis was used to examine predisposing, enabling, and need variables as predictors of help-seeking attitudes toward mental health services in a sample of 233 AI older adults from the Midwest. The model was found to have limited utility in the context of older AI help-seeking attitudes, as the proportion of explained variance was low. Gender, perceived stigma, social support, and physical health were significant predictors, whereas age, perceived mental health, and health insurance were not. © The Author(s) 2014.

Peer Models in Mental Health for Caregivers and Families.

PubMed

Acri, Mary; Hooley, Cole D; Richardson, Nicole; Moaba, Lily B

2017-02-01

Peer-delivered mental health models may hold important benefits for family members, yet their prevalence, components, and outcomes are unknown. We conducted a review of peer-delivered services for families of children and adults with mental health problems. Randomized studies of interventions published between 1990 and 2014 were included if the intervention contained a component for family members and examined familial outcomes. Of 77 studies that were assessed for their eligibility, six met criteria. Familial components included coping and parenting skills, knowledge about mental health, and emotional support. Outcomes were uneven, although significant improvements in family functioning, knowledge about mental illness, parental concerns about their child, and parenting skills were associated with the intervention. Peer-delivered services for family members may have important benefits to family members and individuals with mental health problems; however, the research base remains thin. A research agenda to develop and examine these models is discussed.

Posttraumatic Stress Disorder as a Mediator Between Trauma Exposure and Comorbid Mental Health Conditions in North Korean Refugee Youth Resettled in South Korea.

PubMed

Kim, Yeunhee J

2016-02-01

A structural equation model was used to investigate the relationship between trauma exposure and comorbid mental health problems and the mediation effect of posttraumatic stress disorder (PTSD) between trauma and mental health variables. The research model is based on the stress-vulnerability conceptual framework in which PTSD as a comorbid disorder mediates the relationship between trauma exposure and mental health problems. A self-administered survey was administered to 144 North Korean refugee youth residing in South Korea. Trauma exposure, both interpersonal and noninterpersonal, had no direct relationship with comorbid mental health problems. However, interpersonal trauma contributed to comorbid mental health problems through PTSD, demonstrating the mediation effect of PTSD and supporting the stress-vulnerability hypothesis of the current research model. Clinical implications of the study and future direction for research are discussed. © The Author(s) 2014.

Interactions between youth and mental health professionals: The Youth Aware of Mental health (YAM) program experience

PubMed Central

Wasserman, Camilla; Postuvan, Vita; Herta, Dana; Iosue, Miriam; Värnik, Peeter; Carli, Vladimir

2018-01-01

The Youth Aware of Mental health (YAM) experience Youth stand at the core of much mental health promotion, yet little is written about their experiences of such efforts. We aimed to take this on by interviewing youth after they participated in Youth Aware of Mental Health (YAM), a universal mental health promotion program. YAM has a non-anticipatory methodology that provides youth with a safe space for reflection, role-play, and discussion. Addressing everyday mental health, YAM invites the experiences and issues relevant to the youth present to influence the program in a slightly different direction every time. The YAM instructor guides the participants but does not present the youth with given formulas on how to solve their problems. Like any mental health promotion, YAM appeals to some more than others in its intended audience and individuals engage with the program in many different ways. We set out to learn more about these experiences. Conversations about mental health Thirty-two semi-structured interviews were conducted with 15–17 year olds in Estonia, Italy, Romania and Spain. In these interviews, the researchers made an effort to discuss mental health in terms relevant to youth. Still, wide-ranging levels of motivation, ease with engaging in dialogue with mental health professionals, and comfort with the format and content of YAM were detected. The youth were clustered in five different groups relating to their positioning vis-à-vis the researcher during the interview. The following evocative labels were used: “interested”, “foot in the door”, “respect for authority”, “careful”, and “not my topic”. Corresponding labels were devised for their YAM experience: “engaged”, “initially hesitant”, “cautious”, “eager to please”, or “disengaged”. We also observed that the researchers brought their own expectations and employed a variety of approaches that led to anticipating answers, stating the obvious, or getting along better with some of the youth. These modes of interaction were categorized under: “favoritism”, “familiarity”, “frustration”, “out of sync”, and “insecurity”. Similar power dynamics likely transpire in other encounters between youth and researchers, including interventions such as YAM. Youth and mental health professionals: Noticing the dynamics at play As mental health professionals, we need to be aware of the professional habits and biases that sometimes obstruct us in understanding the experiences of youth. By initiating dialogue and listening closely to youth we can find a way to those experiences. Qualitative research can help bring the underlying interplay between mental health professionals and youth to the surface while also orienting the conversation towards topics that matter to youth. Some youth are more interested or feel more at ease in speaking openly with mental health professionals, while others find such exchanges less appealing or almost intolerable. Future mental health promotion initiatives would benefit from involving youth in the design of interventions to create an inclusive atmosphere and engage with topics that appeal to youth with diverse experiences of mental health. PMID:29420556

Computerized assessment of communication for cognitive stimulation for people with cognitive decline using spectral-distortion measures and phylogenetic inference.

PubMed

Pham, Tuan D; Oyama-Higa, Mayumi; Truong, Cong-Thang; Okamoto, Kazushi; Futaba, Terufumi; Kanemoto, Shigeru; Sugiyama, Masahide; Lampe, Lisa

2015-01-01

Therapeutic communication and interpersonal relationships in care homes can help people to improve their mental wellbeing. Assessment of the efficacy of these dynamic and complex processes are necessary for psychosocial planning and management. This paper presents a pilot application of photoplethysmography in synchronized physiological measurements of communications between the care-giver and people with dementia. Signal-based evaluations of the therapy can be carried out using the measures of spectral distortion and the inference of phylogenetic trees. The proposed computational models can be of assistance and cost-effectiveness in caring for and monitoring people with cognitive decline.

Computerized Assessment of Communication for Cognitive Stimulation for People with Cognitive Decline Using Spectral-Distortion Measures and Phylogenetic Inference

PubMed Central

Pham, Tuan D.; Oyama-Higa, Mayumi; Truong, Cong-Thang; Okamoto, Kazushi; Futaba, Terufumi; Kanemoto, Shigeru; Sugiyama, Masahide; Lampe, Lisa

2015-01-01

Therapeutic communication and interpersonal relationships in care homes can help people to improve their mental wellbeing. Assessment of the efficacy of these dynamic and complex processes are necessary for psychosocial planning and management. This paper presents a pilot application of photoplethysmography in synchronized physiological measurements of communications between the care-giver and people with dementia. Signal-based evaluations of the therapy can be carried out using the measures of spectral distortion and the inference of phylogenetic trees. The proposed computational models can be of assistance and cost-effectiveness in caring for and monitoring people with cognitive decline. PMID:25803586

Rat behavior in maze after flight aboard Kosmos-690 biosatellite. [Effects of space flight factors (acceleration, vibration, and weightlessness) on. gamma. -radioinduced behavioral changes in rats

DOE Office of Scientific and Technical Information (OSTI.GOV)

Livshits, N.N.; Apanasenko, Z.I.; Kuznetsova, M.A.

1978-10-26

It was previously demonstrated that radiobiological effects can change appreciably in space flights. However, there is no information in the known literature concerning the effects of inflight radiation on higher nervous activity (HNA). Yet this is an important question, since mental efficiency depends largely on the state of HNA. It was established in model laboratory experiments that dynamic factors (acceleration and vibration) modify the effect of radiation on HNA. For this reason, it was necessary to investigate the effect on HNA of radiation combined with the factors occurring in space flights.

Battle Command Teams’ Workload, Situational Understanding, and Shared Mental Models at Unit of Employment, Unit of Action, and Combined Arms Battalion Levels

DTIC Science & Technology

2005-04-01

experiment was not strictly controlled ( free play versus scripted scenario), so that objective measures of SU and shared mental model could not be collected...b. Because of the free play allowed in the scenario, there was no pre-determined “ground truth” at specific times to assess SU and shared mental...that it is on a 0 to 1 scale similar to the shared mental model data. We used perceived SU versus a more objective measure, since the free play nature

A method of designing smartphone interface based on the extended user's mental model

NASA Astrophysics Data System (ADS)

Zhao, Wei; Li, Fengmin; Bian, Jiali; Pan, Juchen; Song, Song

2017-01-01

The user's mental model is the core guiding theory of product design, especially practical products. The essence of practical product is a tool which is used by users to meet their needs. Then, the most important feature of a tool is usability. The design method based on the user's mental model provides a series of practical and feasible theoretical guidance for improving the usability of the product according to the user's awareness of things. In this paper, we propose a method of designing smartphone interface based on the extended user's mental model according to further research on user groups. This approach achieves personalized customization of smartphone application interface and enhance application using efficiency.

Age-Related Differences in Cortical and Subcortical Activities during Observation and Motor Imagery of Dynamic Postural Tasks: An fMRI Study.

PubMed

Mouthon, A; Ruffieux, J; Mouthon, M; Hoogewoud, H-M; Annoni, J-M; Taube, W

2018-01-01

Age-related changes in brain activation other than in the primary motor cortex are not well known with respect to dynamic balance control. Therefore, the current study aimed to explore age-related differences in the control of static and dynamic postural tasks using fMRI during mental simulation of balance tasks. For this purpose, 16 elderly (72 ± 5 years) and 16 young adults (27 ± 5 years) were asked to mentally simulate a static and a dynamic balance task by motor imagery (MI), action observation (AO), or the combination of AO and MI (AO + MI). Age-related differences were detected in the form of larger brain activations in elderly compared to young participants, especially in the challenging dynamic task when applying AO + MI. Interestingly, when MI (no visual input) was contrasted to AO (visual input), elderly participants revealed deactivation of subcortical areas. The finding that the elderly demonstrated overactivation in mostly cortical areas in challenging postural conditions with visual input (AO + MI and AO) but deactivation in subcortical areas during MI (no vision) may indicate that elderly individuals allocate more cortical resources to the internal representation of dynamic postural tasks. Furthermore, it might be assumed that they depend more strongly on visual input to activate subcortical internal representations.

Age-Related Differences in Cortical and Subcortical Activities during Observation and Motor Imagery of Dynamic Postural Tasks: An fMRI Study

PubMed Central

Ruffieux, J.; Mouthon, M.; Hoogewoud, H.-M.; Taube, W.

2018-01-01

Age-related changes in brain activation other than in the primary motor cortex are not well known with respect to dynamic balance control. Therefore, the current study aimed to explore age-related differences in the control of static and dynamic postural tasks using fMRI during mental simulation of balance tasks. For this purpose, 16 elderly (72 ± 5 years) and 16 young adults (27 ± 5 years) were asked to mentally simulate a static and a dynamic balance task by motor imagery (MI), action observation (AO), or the combination of AO and MI (AO + MI). Age-related differences were detected in the form of larger brain activations in elderly compared to young participants, especially in the challenging dynamic task when applying AO + MI. Interestingly, when MI (no visual input) was contrasted to AO (visual input), elderly participants revealed deactivation of subcortical areas. The finding that the elderly demonstrated overactivation in mostly cortical areas in challenging postural conditions with visual input (AO + MI and AO) but deactivation in subcortical areas during MI (no vision) may indicate that elderly individuals allocate more cortical resources to the internal representation of dynamic postural tasks. Furthermore, it might be assumed that they depend more strongly on visual input to activate subcortical internal representations. PMID:29675037

Peritraumatic Reaction Courses During War in Individuals With Serious Mental Illness: Gender, Mental Health Status, and Exposure.

PubMed

Gelkopf, Marc; Lapid Pickman, Liron; Grinapol, Shulamit; Werbeloff, Nomi; Carlson, Eve B; Greene, Talya

2017-01-01

We assessed in vivo symptom courses of early psychological responses during war and investigated the influence of exposure, gender, and a prior diagnosis of severe mental illness (SMI). Participants were 181 highly exposed individuals from the general population and community psychiatric rehabilitation centers. A 30-day twice-daily Internet-smartphone-based intensive assessment two weeks into the 2014 Israel-Gaza war estimated peritraumatic symptom clusters, sense of threat, negative emotions and cognitions, and siren exposure during two periods that varied in exposure level. Piecewise growth curve modeling procedures were performed. We found different courses for most variables, gender, and SMI status. Women were more reactive two weeks into the war but reduced their reactivity level at a faster pace than males, reaching lower symptom levels one month later. Women's courses were characterized by arousal, negative emotionality, sense of threat, and reactivity to siren exposure. No-SMI men had a stable course followed by a significant reduction in arousal, negative emotions, avoidance, and perceived threat during a "return to routine" lower-level intensity period of the war. Individuals with SMI had higher reactivity levels at study onset; but while women with SMI improved over time, men with SMI worsened. SMI reactivity was characterized by negative cognitions, intrusions, and avoidance. Early reactions during prolonged exposure to war are variable, dynamic, and affected by exposure context. Symptoms, emotions, and cognitions develop differentially over time and are affected by gender and mental health status. The identification of various early stress courses should inform primary intervention strategies.