Intersection of Post-Traumatic Growth and Forgiveness: A Catalyst for Healing

This presentation will connect the experience of post traumatic growth with the empirical support of forgiveness as an intervention with survivors of trauma. Research specific to the link between Post-Traumatic Growth and Forgiveness will be examined with the formulation of a tool-kit appropriate to this therapy

"I don’t want my character to be a fairy princess”: Qualitative accounts of women gamers’ avatar choices

The ease with which we can now create digital selves means that virtual environments such as video games can be playgrounds for experimenting with alternative identities. Extensive experimental research exists examining what determines our virtual selves’ (avatar’s) appearance and impact, but relatively few studies addresses this in detail using qualitative methods. There is also very little research which focuses specifically on female gamers and how they may experience avatar choices, which is especially important given the hostile environment they may face in public gaming spaces. The present study aimed to examine avatar decisions of women gamers with the use of semi-structured gaming interviews, where participants were interviewed while creating an avatar in a popular action adventure game. The data were analysed using inductive thematic analysis and three themes were extracted. The women interviewed expressed frustration having to “pretend to be a guy” due to lack of choice and motivation to avoid harassment online. However, when discussing environments where they were free to customise their character, participants both adhered to prescriptive norms for women to avoid being a “bigger girl”, while rejecting traditionally feminine appearance to avoid being “a stereotype”. Findings show that despite using avatars to be someone else, the women were often constrained in their choices by the male-centric context of gaming, and reactions to this context which involved eschewing femininity in their avatar choices

Murri Way! Aborigines and Torres Strait Islanders reconstruct social welfare practice

This book explores Aboriginal and Torres Strait Islander perceptions of their helping styles with their own people and the type of help they provide in the social welfare context. Through semi-structured depth interviews, the use of video as stimulus material and collaborative analysis with Aboriginal and Torres Islander participants, the book identifies the helping process within their own cultural communities and in particular the cultural aspects of their helping approach. In the course of this project active collaboration has occurred between indigenous and non-indigenous people in methodological and ethical processes that reflected as much as possible a political position of indigenous control of the project in relation to problem definition, choice of research methods, data analysis and use of findings. The intent of 'Murri Way' was to provide a 'springboard' for the development of Indigenous Best Practice Models. Readers attention is drawn to the recognition of the contribution of participant's wisdom and knowledge, page iv-vi; the Aboriginal and Torres Strait Islander Terms of Reference, p.95; and details of the inception and aspiration of the project in Chapter 2

Reliability of HIV rapid diagnostic tests for self-testing compared with testing by health-care workers: a systematic review and meta-analysis.

BACKGROUND: The ability of individuals to use HIV self-tests correctly is debated. To inform the 2016 WHO recommendation on HIV self-testing, we assessed the reliability and performance of HIV rapid diagnostic tests when used by self-testers. METHODS: In this systematic review and meta-analysis, we searched PubMed, PopLine, and Embase, conference abstracts, and additional grey literature between Jan 1, 1995, and April 30, 2016, for observational and experimental studies reporting on HIV self-testing performance. We excluded studies evaluating home specimen collection because patients did not interpret their own test results. We extracted data independently, using standardised extraction forms. Outcomes of interest were agreement between self-testers and health-care workers, sensitivity, and specificity. We calculated κ to establish the level of agreement and pooled κ estimates using a random-effects model, by approach (directly assisted or unassisted) and type of specimen (blood or oral fluid). We examined heterogeneity with the I2 statistic. FINDINGS: 25 studies met inclusion criteria (22 to 5662 participants). Quality assessment with QUADAS-2 showed studies had low risk of bias and incomplete reporting in accordance with the STARD checklist. Raw proportion of agreement ranged from 85·4% to 100%, and reported κ ranged from fair (κ 0·277, p<0·001) to almost perfect (κ 0·99, n=25). Pooled κ suggested almost perfect agreement for both types of approaches (directly assisted 0·98, 95% CI 0·96-0·99 and unassisted 0·97, 0·96-0·98; I2=34·5%, 0-97·8). Excluding two outliers, sensitivity and specificity was higher for blood-based rapid diagnostic tests (4/16) compared with oral fluid rapid diagnostic tests (13/16). The most common error that affected test performance was incorrect specimen collection (oral swab or finger prick). Study limitations included the use of different reference standards and no disaggregation of results by individuals taking antiretrovirals. INTERPRETATION: Self-testers can reliably and accurately do HIV rapid diagnostic tests, as compared with trained health-care workers. Errors in performance might be reduced through the improvement of rapid diagnostic tests for self-testing, particularly to make sample collection easier and to simplify instructions for use. FUNDING: The Bill & Melinda Gates Foundation and Unitaid

A method for capturing dynamic spectral coupling in resting fMRI reveals domain-specific patterns in schizophrenia

IntroductionResting-state functional magnetic resonance imaging (rs-fMRI) is a powerful tool for assessing functional brain connectivity. Recent studies have focused on shorter-term connectivity and dynamics in the resting state. However, most of the prior work evaluates changes in time-series correlations. In this study, we propose a framework that focuses on time-resolved spectral coupling (assessed via the correlation between power spectra of the windowed time courses) among different brain circuits determined via independent component analysis (ICA).MethodsMotivated by earlier work suggesting significant spectral differences in people with schizophrenia, we developed an approach to evaluate time-resolved spectral coupling (trSC). To do this, we first calculated the correlation between the power spectra of windowed time-courses pairs of brain components. Then, we subgrouped each correlation map into four subgroups based on the connectivity strength utilizing quartiles and clustering techniques. Lastly, we examined clinical group differences by regression analysis for each averaged count and average cluster size matrices in each quartile. We evaluated the method by applying it to resting-state data collected from 151 (114 males, 37 females) people with schizophrenia (SZ) and 163 (117 males, 46 females) healthy controls (HC).ResultsOur proposed approach enables us to observe the change of connectivity strength within each quartile for different subgroups. People with schizophrenia showed highly modularized and significant differences in multiple network domains, whereas males and females showed less modular differences. Both cell count and average cluster size analysis for subgroups indicate a higher connectivity rate in the fourth quartile for the visual network in the control group. This indicates increased trSC in visual networks in the controls. In other words, this shows that the visual networks in people with schizophrenia have less mutually consistent spectra. It is also the case that the visual networks are less spectrally correlated on short timescales with networks of all other functional domains.ConclusionsThe results of this study reveal significant differences in the degree to which spectral power profiles are coupled over time. Importantly, there are significant but distinct differences both between males and females and between people with schizophrenia and controls. We observed a more significant coupling rate in the visual network for the healthy controls and males in the upper quartile. Fluctuations over time are complex, and focusing on only time-resolved coupling among time-courses is likely to miss important information. Also, people with schizophrenia are known to have impairments in visual processing but the underlying reasons for the impairment are still unknown. Therefore, the trSC approach can be a useful tool to explore the reasons for the impairments

Metabolic Syndrome and Incident Coronary Heart Disease in Australian Indigenous Populations

This report aims to compare the prediction of the metabolic syndrome (MetS) and its components for morbidity and mortality of coronary heart disease (CHD) in a cohort of Australian Aboriginal and Torres Strait Islander adults (TSIs). A total of 2,100 adults (1,283 Aborigines and 817 TSIs) was followed up for 6 years from 2000. Outcome measures were all CHD events (deaths and hospitalizations). Baseline anthropometric measurements, blood pressure (BP), fasting blood lipids and glucose were collected. Smoking and alcohol intake was self-reported. We found MetS was more prevalent in TSI (50.3%) compared to Aborigines (33.0%). Baseline MetS doubled the risk of a CHD event in Aborigines. Increased fasting triglycerides was stronger in predicting CHD (hazard ratio (HR): 2.8) compared with MetS after adjusted for age, sex, tobacco and alcohol consumption, and baseline diabetes and albuminuria for Aborigines but not among TSIs. MetS was not more powerful than its components in predicting CHD event. In Australian Aborigines, the “triglyceridemic waist” phenotype strongly predicts CHD event, whereas among TSI, baseline diabetes mediated the prediction of increased fasting glucose for CHD event

Evolution in agriculture: the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems

Anthropogenic impacts increasingly drive ecological and evolutionary processes at many spatio-temporal scales, demanding greater capacity to predict and manage their consequences. This is particularly true for agro-ecosystems, which not only comprise a significant proportion of land use, but which also involve conflicting imperatives to expand or intensify production while simultaneously reducing environmental impacts. These imperatives reinforce the likelihood of further major changes in agriculture over the next 30–40 years. Key transformations include genetic technologies as well as changes in land use. The use of evolutionary principles is not new in agriculture (e.g. crop breeding, domestication of animals, management of selection for pest resistance), but given land-use trends and other transformative processes in production landscapes, ecological and evolutionary research in agro-ecosystems must consider such issues in a broader systems context. Here, we focus on biotic interactions involving pests and pathogens as exemplars of situations where integration of agronomic, ecological and evolutionary perspectives has practical value. Although their presence in agro-ecosystems may be new, many traits involved in these associations evolved in natural settings. We advocate the use of predictive frameworks based on evolutionary models as pre-emptive management tools and identify some specific research opportunities to facilitate this. We conclude with a brief discussion of multidisciplinary approaches in applied evolutionary problems

Multidimensional Frequency Domain Analysis of Full-Volume fMRI Reveals Significant Effects of Age, Gender, and Mental Illness on the Spatiotemporal Organization of Resting-State Brain Activity

Clinical research employing functional magnetic resonance imaging (fMRI) is often conducted within the connectionist paradigm, focusing on patterns of connectivity between voxels, regions of interest (ROIs) or spatially distributed functional networks. Connectivity-based analyses are concerned with pairwise correlations of the temporal activation associated with restrictions of the whole-brain hemodynamic signal to locations of a priori interest. There is a more abstract question however that such spatially granular correlation-based approaches do not elucidate: Are the broad spatiotemporal organizing principles of brains in certain populations distinguishable from those of others? Global patterns (in space and time) of hemodynamic activation are rarely scrutinized for features that might characterize complex psychiatric conditions, aging effects or gender—among other variables of potential interest to researchers. We introduce a canonical, transparent technique for characterizing the role in overall brain activation of spatially scaled periodic patterns with given temporal recurrence rates. A core feature of our technique is the spatiotemporal spectral profile (STSP), a readily interpretable 2D reduction of the native four-dimensional brain × time frequency domain that is still “big enough” to capture important group differences in globally patterned brain activation. Its power to distinguish populations of interest is demonstrated on a large balanced multi-site resting fMRI dataset with nearly equal numbers of schizophrenia patients and healthy controls. Our analysis reveals striking differences in the spatiotemporal organization of brain activity that correlate with the presence of diagnosed schizophrenia, as well as with gender and age. To the best of our knowledge, this is the first demonstration that a 4D frequency domain analysis of full volume fMRI data exposes clinically or demographically relevant differences in resting-state brain function