Inflammation and haemostasis

Inflammation and haemostasis are interrelated pathophysiologic processes that considerably affect each other. In this bidirectional relationship, inflammation leads to activation of the haemostatic system that in turn also considerably influences inflammatory activity. Such, the haemostatic system acts in concert with the inflammatory cascade creating an inflammation-haemostasis cycle in which each activated process promotes the other and the two systems function in a positive feedback loop. The extensive crosstalk between immune and haemostatic systems occurs at level of all components of the haemostatic system including vascular endothelial cells, platelets, plasma coagulation cascade, physiologic anticoagulants and fibrinolytic activity. During inflammatory response, inflammatory mediators, in particular proinflammatory cytokines, play a central role in the effects on haemostatic system by triggering its disturbance in a number of mechanisms including endothelial cell dysfunction, increased platelet reactivity, activation of the plasma coagulation cascade, impaired function of physiologic anticoagulants and suppressed fibrinolytic activity. The two examples of pathophysiologic processes in which the tight interdependent relationship between inflammation and haemostasis considerably contribute to the pathogenesis and/or progression of disease are systemic inflammatory response to infection or sepsis and acute arterial thrombosis as a consequence of ruptured atherosclerotic plaque. Close links between inflammation and haemostasis help explain the prothrombotic tendency in these two clinical conditions in which inflammation shifts the haemostatic activity towards procoagulant state by the ability of proinflammatory mediators to activate coagulation system and to inhibit anticoagulant and fibrinolytic activities. This review summarizes the current knowledge of the complex interactions in the bidirectional relationship between inflammation and haemostasis.     

Can the government really help? Online information for women experiencing violence

Domestic violence against women is a significant social and public health problem that requires a varied social service response for abused women and their children. Increasingly, this service response includes online sources and resources. Using content analysis methods, we examined the Canadian provincial E-Government response to providing information to women exposed to domestic violence. Our overarching question was “if an abused woman went to her province’s government website for information and help and used common search strategies, what would she find?”     

Factors influencing early adolescents’ mathematics achievement: High-quality teaching rather than relationships

This study used data from the Assessment Tools for Teaching and Learning project, which involved data on the academic performance of more than 90,000 New Zealand students in six subjects (i.e. reading, writing and mathematics in two languages). Two sub-samples of this dataset were included for detailed re-analysis to test the general applicability of the Australian model of Quality of School Life (Ainley et al. 1986) in the New Zealand context. The first sample comprised 336 year 8 students from elementary schools and the second sample consisted of 272 year 10 students from high schools. Furthermore, two structural equation models were developed and tested, expressing relationships between students’ quality of school life perceptions, students’ attitudes to mathematics, and their effects on mathematics achievement. The quality of school life questionnaires scales [Ainley and Bourke, in Res Pap Educ 7(2):107–128, 1992] were used as indicators of students’ perceptions regarding learning, teachers and peer relationships. The model proposed that perceived quality of school life would affect students’ attitudes of liking and confidence in mathematics, which would in turn affect their academic performance. After controlling for other variables in the model, students’ perception about their self-efficacy to learn mathematics was more directly related to outcomes than to perceptions of teacher quality or peer involvement. Data analyses revealed no apparent relationships of these factors to mathematics achievement. Moreover, results for both samples led to the conclusion that the perceived quality of learning is connected with ‘confidence in’ and ‘liking mathematics’, which in turn predict students’ mathematics achievement.     

Factors associated with middle school students' perceptions of the quality of school-based sexual health education

This paper examines factors associated with middle school students' perceptions of the quality of the sexual health education (SHE) they received at school. Participants were 478 predominately White young people (256 girls, 222 boys) in grades 6–8 who completed a survey assessing their demographic characteristics; dating and sexual experience; and perceptions of the content, delivery and quality of the SHE they had received. Boys and students in a lower grade and with less sexual experience rated the quality of their SHE more positively. After accounting for student characteristics, students who more strongly agreed that their SHE matched their interests and covered sexual health topics more adequately, as well as who viewed their teacher as being more comfortable talking about sexual topics and doing a better job answering questions, reported higher quality SHE. Students' perceptions of the adequacy of coverage of 10 sexual health topics were also positively correlated with their reports of higher quality SHE, although only two topics (correct names for genitals and puberty/physical development) contributed uniquely to the prediction of this variable. These results reinforce the need for a comprehensive SHE curriculum as well as adequate preparation of teachers if SHE is to be engaging to students.     

In-service and pre-service teachers' perceptions of a web-based,case-based learning environment

Abstract

Understanding teachers' perceptions of a web-based, case-based learning environment provides insight into the effective development and deployment of such conditions for preparing educators. CaseNET–a web-based, case-method teaching environment for professional educators–serves as both a source of information as well as a space for inservice and preservice teachers to interact with one another and to contemplate current educational issues as they relate to real-world teaching. A qualitative analysis of over 400 participants was conducted and results provided. Participants perceived CaseNETas an opportunity to engage in professional development via exploration, reflection, collaboration, and hands-on interactions with authentic teaching tasks. Results suggest that the combination of cases and technology provides a valued opportunity to engage developing teachers in professional behaviors.     

Early education teachers’ conceptualizations and strategies for managing closeness with the class in child care

This study investigated teachers’ experiences of closeness during interactions with the group of children in child care. Structured interviews were conducted with 24 female teachers who were teaching children between the ages of three and five (mean age = 3.9) regarding their perceptions of closeness with the group of children in the class. Qualitative analyses of the interviews revealed a group solidarity domain of teacher–group relationships composed of three dimensions which comprise emotional solidarity, consensual solidarity, and functional solidarity, with emotional solidarity most dominant in the teachers’ perceptions. This group solidarity domain was interpreted as being consistent with qualities found in Grusec and Davidov’s group participation domain. The findings that, teachers’ closeness with the group of children in the class were dominated by the emotional dimension is similar to previous research results which report the predominance of personal and intimate interactions in relational closeness between teachers and individual children. Teachers described intentional strategies for managing close group relationships that made use of interactional histories between the teachers and children in the class. These discoveries provide a new perspective on teacher closeness with groups, an area of research not often investigated. It also provides insights into the importance teachers place on connecting emotionally with children when they are with the collective group in the classroom.     

Longitudinal confirmatory factor analysis: Common,time‐specific,item‐specific,and residual‐error components of variance

Following Cronbach (1970) and others, it is useful to decompose test score variation into common factor, time‐specific, item‐specific, and residual components. In the traditional approach to factor analysis, only two sources of variance can be estimated: common factor variance and a uniqueness term that confounds specific sources of variation and residual error. When the same items are measured on different occasions, however, it is possible to separate specific variance and residual error. Two approaches, the first‐order approach described by Raffalovich and Bohrnstedt (1987) and a second‐order approach based on Jöreskog and Sörbom (1989; Jöreskog, 1974) are considered initially. The two approaches, although based on different rationales, both suffer a similar weakness in that two of the four sources of variance are confounded. In the Raffalovich and Bohrnstedt approach, time‐specific variance is confounded with common factor variance that generalizes across items and time. In the second‐order approach based on Jöreskog and Sörbom, time‐specific variance is confounded with residual error. Here we demonstrate that by combining features from both approaches we can eliminate these weaknesses and estimate all four of Cronbach's sources of variance, and that this combined approach is easily generalized to a wide variety of applications.     

Unconstrained Structural Equation Models of Latent Interactions: Contrasting Residual- and Mean-Centered Approaches

Little, Bovaird and Widaman (2006) proposed an unconstrained approach with residual centering for estimating latent interaction effects as an alternative to the mean-centered approach proposed by Marsh, Wen, and Hau (2004, 2006). Little et al. also differed from Marsh et al. in the number of indicators used to infer the latent interaction factor and how they were represented, but this issue is separate from the mean versus residual centering distinction that was their primary focus. However, their implementation of the Marsh et al. mean-centered approach failed to incorporate the mean structure that Marsh et al. argued was necessary to obtain unbiased estimates. One might suppose that their new approach would suffer this same problem, an issue not addressed by Little et al. However, we demonstrate here why the Little et al. approach obviates this requirement that heretofore was thought to be necessary for all constrained, partially constrained, and unconstrained approaches. Both the Marsh et al. and Little et al. unconstrained approaches typically result in similar results and are much easier to implement than traditional constrained approaches. They differ primarily in that the Little et al. approach is a 2-step approach involving a potentially large number of separate analyses prior to estimating the structural equation model that apparently does not require the estimation of a mean structure, whereas the Marsh et al. approach is a 1-step approach that includes a mean structure.