Can Children Distinguish Between Thoughts and Behaviours?

Abstract. The extent to which cognitive behaviour therapy can be used with children is unclear. In meta analyses older children and teenagers seem to derive greater benefit than young children. This may be because the cognitive immaturity of young children means that they cannot manage the cognitive demands of cognitive behaviour therapy. This paper seeks to establish how well children aged 7–8 and aged 10–11 can complete a task requiring them to distinguish between thoughts and behaviours (based on Greenberger & Padesky, 1995). Half of the children were provided with a visual cue and half were not. The effects of age, the visual cue, and verbal IQ on performance were examined. Seventy-two children were randomized to the cue and no-cue condition and individually tested during school time. Both age groups performed well and there was a significant difference between older and younger children, with the older children performing better. Visual cues did not aid performance. Verbal IQ was significantly associated with performance in the younger but not the older children. The implications of these results for the delivery of cognitive behaviour therapy with children and future research are discussed. Keywords: Children, thoughts, behaviours, cognitive, development

The effect of cues on young children’s abilities to discriminate among thoughts, feelings and behaviours

Objective: To determine if cues help young children discriminate among thoughts, feelings and behaviours. Participants: Ninety-six children aged 4–7 years from three schools in Norwich, UK. Design: Within each age band (4, 5, 6, 7), children were randomised to the cue or the no cue condition on a stratified basis ensuring that equal numbers of boys and girls from each school were in each of the eight cells (cue condition×age). Cues were glove puppets and post boxes. The effect of IQ was controlled. Measures: A discrimination task, in which children were asked to identify a thought, a feeling and a behaviour from each of six brief stories, and a brief IQ assessment were administered to children individually. Results: There was a significant effect of age and cue condition on performance; older children and those who were presented with the cue performed better. There were no gender differences and no interaction between cue condition and age. Conclusion: Many young children discriminated among thoughts, feelings and behaviours suggesting that they may be able to engage in this aspect of cognitive behaviour therapy. Simple cues (puppets and posting boxes) improved children’s performance and these may be useful therapeutic tools with young children.

The Effect of Mental Health Problems on Children’s Ability to Discriminate Amongst Thoughts, Feelings and Behaviours

Many young children appear to have skills sufficient to engage in basic elements of cognitive behaviour therapy (CBT). Previous research has, however, typically used children from non-clinical populations. It is important to assess children with mental health problems on cognitive skills relevant to CBT and to compare their performance to children who are not identified as having mental health difficulties. In this study 193 6 and 7 year old children were assessed using a thought–feeling–behaviour discrimination task [Quakley et al. Behav. Res. Therapy 42 (2004) 343] and a brief IQ test (the WASI). Children were assigned to groups (at risk, borderline, low risk) according to ratings of their mental health made by their teachers and parents on the Strengths and Difficulties Questionnaire [Goodman, J. Am. Acad. Child Adolescent Psych. 40 (2001) 1337]. After controlling for IQ, children ‘at risk’ of mental health problems performed significantly less well than children with a ‘low risk’ of mental health problems. Before receiving CBT, children’s meta-cognitive development should be assessed and additional help provided to those with meta-cognitive difficulties.

Innovative implementation of iLearn e-Portfolio for Personal Development Planning

iLearn is a Web 2.0 tool developed in Blackboard to help students with Personal Development Planning (PDP). This paper describes a case study on how the innovative use of mobile digital technology in iLearn e-Portfolio for developing reflective portfolios for PDP benefits the students. The e-Portfolio tool benefits students as it enables them to create and share portfolios, record achievements and reflections that support future job applications and promotion. Students find it beneficial because they can make use of iLearn e-Portfolio to keep academic records and achievements, activities and interests, work experience, reflective practice, employer information and some other useful resources, and also to tailor their CV and covering letters including evidence to support their CV, transferable skills and selling points. Useful information for preparing for an interview, reflecting after an event and any thoughts and evaluation can be kept in iLearn e-Portfolio. Keeping assessment and feedback records in iLearn e-Portfolio enables students to know their progress, to identify any gaps they need to fill to develop their study practices and areas for development. The key points from the feedback on the assignments and assessments are beneficial for future improvement. The reflections on the assignments and how students make use of the advice are particularly useful to improve their overall performance. In terms of pedagogical benefits, the “Individual Learner Profile” records and reviews evidence in verbal communication, basic and higher academic skills, time management, numeracy skill and IT skills, students become increasingly aware of their own strengths and any weaker areas that may require development. The e-Portfolio also provides opportunity for students to reflect on the experience and skills they have gained whilst participating in activities outside their studies. As the iLearn e-Portfolio is a reflective practice tool, it is consistent with the principle of Schon's reflective practitioner to reframe problems and to explore the consequences of actions. From the students’ feedback, for those who engage regularly in iLearn, they are better able to set agendas for their Personal Tutorial meetings and provide their Personal Tutor with a unique record of their achievements, skills and attributes which help them writing effective references for them. They make the most of their student experience in general. They also enhance their transferable skills and employability overall. The iLearn e-Portfolio prepares for the workplace and life beyond University including continuing professional development. Students are aware of their transferable skills, evidence of the skills and skill level, including award or accreditation, and their personal reflection on their transferable skills. It is beneficial for students to be aware of their transferable skills, to produce evidence of the skills and skills level such as award and accreditation, and to record their personal reflection on their transferable skills. Finally, the innovative use of mobile digital technology in iLearn e-Portfolio for developing reflective portfolios for PDP will improve their employability.

Innovative use of e-portfolio for personal development

iLearn is a quasi-Web 2.0 tool developed in Blackboard to help users with Personal Development Planning (PDP). This paper describes a case study on how the innovative use of mobile digital technology in iLearn e-Portfolio for developing reflective portfolios for PDP benefits the users, who are training to be professionals in construction management and surveying, The e-Portfolio tool benefits users as it enables them to create and share portfolios, record achievements and reflections that support future job applications and promotion. Users find it beneficial because they can make use of iLearn e-Portfolio to keep academic records and achievements, activities and interests, work experience, reflective practice, employer information and some other useful resources, and also to tailor their CV and covering letters including evidence to support their CV, transferable skills and selling points. Useful information for preparing for an interview, reflecting after an event and any thoughts and evaluation can be kept in iLearn e-Portfolio. Keeping assessment and feedback records in iLearn e-Portfolio enables learners to know their progress, to identify any gaps they need to fill to develop their study practices and areas for development. The key points from the feedback on the assignments and assessments are beneficial for future improvement. The reflections on the tasks and how they make use of the advice are particularly useful to improve their overall performance. In terms of pedagogical benefits, the “Individual Learner Profile” records and reviews evidence in verbal communication, basic and higher academic skills, time management, numeracy skill and IT skills, learners become increasingly aware of their own strengths and any weaker areas that may require development. The e-Portfolio also provides opportunity for them to reflect on the experience and skills they have gained whilst participating in activities outside their studies. As the iLearn e-Portfolio is a reflective practice tool, it is consistent with the principle of Schon's reflective practitioner to reframe problems and to explore the consequences of actions. From the users’ feedback, for those who engage regularly in iLearn, they are better able to set agendas for their supervision meetings and provide their supervisor with a unique record of their achievements, skills and attributes which help them writing effective references for them. They make the most of their learning experience in general. They also enhance their transferable skills and employability overall. The iLearn e-Portfolio prepares them for the workplace including continuing professional development. Users are aware of their transferable skills, evidence of the skills and skill level, including award or accreditation, and their personal reflection on their transferable skills. It is beneficial for them to be aware of their transferable skills, to produce evidence of the skills and skills level such as award and accreditation, and to record their personal reflection on their transferable skills. Finally, the innovative use of mobile digital technology in iLearn e-Portfolio for developing reflective portfolios for PDP will improve their employability.

A randomised controlled trial of cognitive behaviour therapy for psychosis in a routine clinical service

Objective: To evaluate CBTp delivered by non-expert therapists, using CBT relevant measures. Methods: Participants (N=74) were randomised into immediate therapy or waiting list control groups. The therapy group was offered six months of therapy and followed up three months later. The waiting list group received therapy after waiting nine months (becoming the delayed therapy group). Results: Depression improved in the combined therapy group at both the end of therapy and follow-up. Other significant effects were found in only one of the two therapy groups (positive symptoms; cognitive flexibility; uncontrollability of thoughts) or one of the two timepoints (end of therapy: PANSS general symptoms, anxiety, suicidal ideation, social functioning, resistance to voices; follow-up: power beliefs about voices, negative symptoms). There was no difference in costs between the groups. Conclusions: The only robust improvement was in depression. Nevertheless, there were further encouraging but modest improvements in both emotional and cognitive variables, in addition to psychotic symptoms.

The 2003 CAP Reform: Accommodating WTO Pressures

In 2003, the EU agreed a major reform of the common agricultural policy (CAP). Its centrepiece was a new Single Payment Scheme (SPS). Policy concerns at the time involved the budget, EU enlargement to the East, the WTO negotiations, and a perception (articulated by Commissioner Fischler) that there should be a shift of budget funds from CAP's Pillar 1 (price and income support) to Pillar 2 (rural development). We outline these concerns, conclude that the WTO was the main driving force of the reforms, set out the key parameters of the new support scheme, and outline some thoughts on the durability of the reformed CAP in the face of continued internal and external pressures.

High-throughput proteomics using matrix-assisted laser desorption/ ionization mass spectrometry

It has become evident that the mystery of life will not be deciphered just by decoding its blueprint, the genetic code. In the life and biomedical sciences, research efforts are now shifting from pure gene analysis to the analysis of all biomolecules involved in the machinery of life. One area of these postgenomic research fields is proteomics. Although proteomics, which basically encompasses the analysis of proteins, is not a new concept, it is far from being a research field that can rely on routine and large-scale analyses. At the time the term proteomics was coined, a gold-rush mentality was created, promising vast and quick riches (i.e., solutions to the immensely complex questions of life and disease). Predictably, the reality has been quite different. The complexity of proteomes and the wide variations in the abundances and chemical properties of their constituents has rendered the use of systematic analytical approaches only partially successful, and biologically meaningful results have been slow to arrive. However, to learn more about how cells and, hence, life works, it is essential to understand the proteins and their complex interactions in their native environment. This is why proteomics will be an important part of the biomedical sciences for the foreseeable future. Therefore, any advances in providing the tools that make protein analysis a more routine and large-scale business, ideally using automated and rapid analytical procedures, are highly sought after. This review will provide some basics, thoughts and ideas on the exploitation of matrix-assisted laser desorption/ ionization in biological mass spectrometry - one of the most commonly used analytical tools in proteomics - for high-throughput analyses.

High-throughput proteomics using matrix-assisted laser desorption/ionization mass spectrometry

It has become evident that the mystery of life will not be deciphered just by decoding its blueprint, the genetic code. In the life and biomedical sciences, research efforts are now shifting from pure gene analysis to the analysis of all biomolecules involved in the machinery of life. One area of these postgenomic research fields is proteomics. Although proteomics, which basically encompasses the analysis of proteins, is not a new concept, it is far from being a research field that can rely on routine and large-scale analyses. At the time the term proteomics was coined, a gold-rush mentality was created, promising vast and quick riches (i.e., solutions to the immensely complex questions of life and disease). Predictably, the reality has been quite different. The complexity of proteomes and the wide variations in the abundances and chemical properties of their constituents has rendered the use of systematic analytical approaches only partially successful, and biologically meaningful results have been slow to arrive. However, to learn more about how cells and, hence, life works, it is essential to understand the proteins and their complex interactions in their native environment. This is why proteomics will be an important part of the biomedical sciences for the foreseeable future. Therefore, any advances in providing the tools that make protein analysis a more routine and large-scale business, ideally using automated and rapid analytical procedures, are highly sought after. This review will provide some basics, thoughts and ideas on the exploitation of matrix-assisted laser desorption/ionization in biological mass spectrometry - one of the most commonly used analytical tools in proteomics - for high-throughput analyses.

A flexible monitoring and notification system for distributed resources

Resource monitoring in distributed systems is required to understand the 'health' of the overall system and to help identify particular problems, such as dysfunctional hardware, a faulty, system or application software. Desirable characteristics for monitoring systems are the ability to connect to any number of different types of monitoring agents and to provide different views of the system, based on a client's particular preferences. This paper outlines and discusses the ongoing activities within the GridRM wide-area resource-monitoring project.

Textual communication in Virtual Environments for real world interaction

Ever since man invented writing he has used text to store and distribute his thoughts. With the advent of computers and the Internet the delivery of these messages has become almost instant. Textual conversations can now be had regardless of location or distance. Advances in computational power for 3D graphics are enabling Virtual Environments(VE) within which users can become increasingly more immersed. By opening these environments to other users such as initially through sharing these text conversations channels, we aim to extend the immersed experience into an online virtual community. This paper examines work that brings textual communications into the VE, enabling interaction between the real and virtual worlds.

A web 2.0 user interface for wide-area resource monitoring

Resource monitoring in distributed systems is required to understand the 'health' of the overall system and to help identify particular problems, such as dysfunctional hardware or faulty system or application software. Monitoring systems such as GridRM provide the ability to connect to any number of different types of monitoring agents and provide different views of the system, based on a client's particular preferences. Web 2.0 technologies, and in particular 'mashups', are emerging as a promising technique for rapidly constructing rich user interfaces, that combine and present data in intuitive ways. This paper describes a Web 2.0 user interface that was created to expose resource data harvested by the GridRM resource monitoring system.

Perspectives on an integrated construction project model

This paper reviews the growing interest in an integrated construction project model, and examines the fundamental concept of an integrated project model by discussing the various definitions that have evolved as well as the various approaches to its development. The nature of collaborative communications that the integrated project model needs to support is also discussed, as are the enabling information and communications technologies that may have a role in the realization of the model. The paper concludes with some thoughts on the future development of the integrated construction project model.

Maternal affective disorder and children’s representation of their families

Children’s perceptions of family relationship are related to their later emotional and social adjustment. This is of particular relevance in the context of family stressors such as maternal affective disorder. This study investigated the effects of maternal postnatal depression and anxiety on children’s family representations. In our sample of postnatally depressed mothers we also explored marital conflict as mediator between maternal psychopathology and children’s representations. Family drawings of 235 4–5 year-old children (93 control, 53 depressed and 89 anxious) were examined. When compared to controls, children of depressed, but not of anxious mothers, were more likely to draw themselves as less prominent than other family members and to represent a dysfunctional family, less likely to represent themselves with a happy face and showed a greater tendency of drawing bizarre pictures. Marital conflict mediated the association between maternal depression and dysfunctionality in drawings.