Sociology of religion in Australia

The sociology of religion has been a moderately strong theme in Australian sociology. Most Australian sociologists of religion have been trained in Australia with a smattering of those trained in the USA, the UK or elsewhere. While Christian churches once maintained research offices including sociologists and some seminaries once included the sociology of religion in their offerings, this is no longer so. Other religious groups have not yet grown to such strength that the support of their own research sections has been possible, but several have actively funded research-including Jews, Muslims, Buddhists, and Scientology. The Christian Research Association, founded in the mid-198os, is the only independent research organization in Australia devoted to the sociology of religion. While largely funded by church organizations, it also receives government grants and has maintained its independence of religious organisations.The National Church Life Survey group, which also commenced work in the mid-198os, conducts a nation-wide survey of church attenders every five years at the time of the Australian census (e.g. Kaldor et al. 1994, 1999 ). Their time series data on Australian Catholics are excellent, being gathered according to random selection techniques. The NCLS also provides five-yearly reports on Protestants and Anglicans and other studies of congregational life in Australia. There are no systematic data sources on the Orthodox, who comprise three percent of the national population and six percent of the population in Melbourne.

An integrative review of how families are prepared for, and supported during withdrawal of life-sustaining treatment in intensive care

AIM: To conduct an integrative review on how nurses prepare families for and support families during withdrawal of life-sustaining treatments in intensive care.

BACKGROUND: End-of-life care is widely acknowledged as integral to the practice of intensive care. However, little is known about what happens after the decision to withdraw life-sustaining treatments has been made and how families are prepared for death and the dying process.

DESIGN: Integrative literature review.

DATA SOURCES: MEDLINE, CINAHL Plus, PsychINFO, PUBMED, Scopus, EMBASE and Web of Knowledge were searched for papers published between 2000 - May 2015.

REVIEW METHODS: A five stage review process, informed by Whittemore and Knafl's methodology was conducted. All papers were reviewed and quality assessment performed. Data were extracted, organised and analysed. Convergent qualitative thematic synthesis was used.

RESULTS: From an identified 479 papers, 24 papers were included in this review with a range of research approaches: qualitative (n=15); quantitative (n=4); mixed methods (n=2); case study (n=2); and discourse analysis (n=1). Thematic analysis revealed the nurses: equipped families for end of life through information provision and communication; managed the withdrawal of life-sustaining treatments to meet family need; and continued care to build memories.

CONCLUSION: Greater understanding is needed of the language that can be used with families to describe death and dying in intensive care. Clearer conceptualisation of the relationship between the medically focussed withdrawal of life-sustaining treatments and patient/family centred end-of-life care is required making the nursing contribution at this time more visible.

Nineteenth century narratives reveal historic catch rates for Australian snapper (Pagrus auratus)

Snapper (Pagrus auratus) is widely distributed throughout subtropical and temperate southern oceans and forms a significant recreational and commercial fishery in Queensland, Australia. Using data from government reports, media sources, popular publications and a government fisheries survey carried out in 1910, we compiled information on individual snapper fishing trips that took place prior to the commencement of fisherywide organized data collection, from 1871 to 1939. In addition to extracting all available quantitative data, we translated qualitative information into bounded estimates and used multiple imputation to handle missing values, forming 287 records for which catch rate (snapper fisher ^-1 h ^-1) could be derived. Uncertainty was handled through a parametric maximum likelihood framework (a transformed trivariate Gaussian), which facilitated statistical comparisons between data sources. No statistically significant differences in catch rates were found among media sources and the government fisheries survey. Catch rates remained stable throughout the time series, averaging 3.75 snapper fisher ^-1 h ^-1 (95% confidence interval, 3.42–4.09) as the fishery expanded into new grounds. In comparison, a contemporary (1993–2002) south-east Queensland charter fishery produced an average catch rate of 0.4 snapper fisher ^-1 h ^-1 (95% confidence interval, 0.31–0.58). These data illustrate the productivity of a fishery during its earliest years of development and represent the earliest catch rate data globally for this species. By adopting a formalized approach to address issues common to many historical records – missing data, a lack of quantitative information and reporting bias – our analysis demonstrates the potential for historical narratives to contribute to contemporary fisheries management.

Primary teachers notice the impact of language on children’s mathematical reasoning

Mathematical reasoning is now featured in the mathematics curriculum documents of many nations, but this necessitates changes to teaching practice and hence a need for professional learning. The development of children’s mathematical reasoning requires appropriate encouragement and feedback from their teacher who can only do this if they recognise mathematical reasoning in children’s actions and words. As part of a larger study, we explored whether observation of educators conducting mathematics lessons can develop teachers’ sensitivity in noticing children’s reasoning and consideration of how to support reasoning. In the Mathematical Reasoning Professional Learning Research Program, demonstration lessons were conducted in Australian and Canadian primary classrooms. Data sources included post-lesson group discussions. Observation of demonstration lessons and engagement in post-lesson discussions proved to be effective vehicles for developing a professional eye for noticing children’s individual and whole-class reasoning. In particular, the teachers noticed that children struggled to employ mathematical language to communicate their reasoning and viewed limitations in language as a major barrier to increasing the use of mathematical reasoning in their classrooms. Given the focus of teachers’ noticing of the limitations in some types of mathematical language, it seems that targeted support is required for teachers to facilitate classroom discourse for reasoning.

APPLICATION OF AN IMPUTATION METHOD FOR GEOSPATIAL INVENTORY OF FOREST STRUCTURAL ATTRIBUTES ACROSS MULTIPLE SPATIAL SCALES IN THE LAKE STATES, U.S.A.

Credible spatial information characterizing the structure and site quality of forests is critical to sustainable forest management and planning, especially given the increasing demands and threats to forest products and services. Forest managers and planners are required to evaluate forest conditions over a broad range of scales, contingent on operational or reporting requirements. Traditionally, forest inventory estimates are generated via a design-based approach that involves generalizing sample plot measurements to characterize an unknown population across a larger area of interest. However, field plot measurements are costly and as a consequence spatial coverage is limited. Remote sensing technologies have shown remarkable success in augmenting limited sample plot data to generate stand- and landscape-level spatial predictions of forest inventory attributes. Further enhancement of forest inventory approaches that couple field measurements with cutting edge remotely sensed and geospatial datasets are essential to sustainable forest management. We evaluated a novel Random Forest based k Nearest Neighbors (RF-kNN) imputation approach to couple remote sensing and geospatial data with field inventory collected by different sampling methods to generate forest inventory information across large spatial extents. The forest inventory data collected by the FIA program of US Forest Service was integrated with optical remote sensing and other geospatial datasets to produce biomass distribution maps for a part of the Lake States and species-specific site index maps for the entire Lake State. Targeting small-area application of the state-of-art remote sensing, LiDAR (light detection and ranging) data was integrated with the field data collected by an inexpensive method, called variable plot sampling, in the Ford Forest of Michigan Tech to derive standing volume map in a cost-effective way. The outputs of the RF-kNN imputation were compared with independent validation datasets and extant map products based on different sampling and modeling strategies. The RF-kNN modeling approach was found to be very effective, especially for large-area estimation, and produced results statistically equivalent to the field observations or the estimates derived from secondary data sources. The models are useful to resource managers for operational and strategic purposes.

UNDERSTANDING ESSAY RATING AS A SOCIALLY MEDIATED ACTIVITY: THE CASE OF A HIGH-STAKES ENGLISH TEST IN CHINA

Thesis (Ph.D, Education) -- Queen's University, 2016-09-22 22:05:24.246

Techniques for distributed theory synthesis in multiagent systems

Data sources are often dispersed geographically in real life applications. Finding a knowledge model may require to join all the data sources and to run a machine learning algorithm on the joint set. We present an alternative based on a Multi Agent System (MAS): an agent mines one data source in order to extract a local theory (knowledge model) and then merges it with the previous MAS theory using a knowledge fusion technique. This way, we obtain a global theory that summarizes the distributed knowledge without spending resources and time in joining data sources. New experiments have been executed including statistical significance analysis. The results show that, as a result of knowledge fusion, the accuracy of initial theories is significantly improved as well as the accuracy of the monolithic solution.

Review : regular brisk walking improves cardiovascular risk factors in healthy sedentary adults

QUESTION In healthy sedentary adults, does regular brisk walking improve cardiovascular risk factors?

METHODS Data sources: Medline and Web of Science (1971 to September 2004) and reference lists.Study selection and assessment:English-language, randomised controlled trials (RCTs) with duration ⩾4 weeks that assessed the effects of walking as the only intervention on changes in cardiovascular risk factors in sedentary, but otherwise healthy, adults. 24 RCTs (n = 1128, mean age 52 y, 83% women) met the selection criteria. The mean length of the walking programmes was 35 weeks (range 8–104 wk). On average, walking was done 4.4 days/week for 38 minutes per session. The mean intensity of the walking interventions was 70% of predicted maximum heart rate or 56% of VO2 max. Quality of individual studies was assessed based on allocation concealment. Outcomes: cardiovascular fitness (VO2 max), body weight, percent body fat, body mass index, and systolic and diastolic blood pressure (BP).

MAIN RESULTS Brisk walking increased cardiovascular fitness and reduced body weight, body mass index, body fat composition, and diastolic BP more than the control condition (table). No effect on systolic BP was observed (table).

CONCLUSION In healthy sedentary adults, regular brisk walking improves cardiovascular fitness, body composition, and diastolic blood pressure.

Exclusion criteria in national health state valuation studies : a systematic review

BACKGROUND: Health state valuation data are often excluded from studies that aim to provide a nationally representative set of values for preference-based health-related quality of life (HRQoL) instruments. The purpose was to provide a systematic examination of exclusion criteria used in the derivation of societal scoring algorithms for preference-based HRQoL instruments. METHODS: Data sources included MEDLINE, official instrument websites, and publication reference lists. Analyses that used data from national valuation studies and reported a scoring algorithm for a generic preference-based HRQoL instrument were included. Data extraction included exclusion criteria and associated justifications, exclusion rates, the characteristics of excluded respondents, and analyses that explored consequential implications of exclusion criteria on the respective national tariff. RESULTS: Seventy-six analyses (from 70 papers) met the inclusion criteria. In addition to being excluded for logical inconsistencies, respondents were often excluded if they valued fewer than 3 health states or if they gave the same value to all health states. Numerous other exclusion criteria were identified, with varying degrees of justification, often based on an assumption that respondents did not understand the task or as a consequence of the chosen statistical modeling techniques. Rates of exclusion ranged from 0% to 65%, with excluded respondents more likely to be older, less educated, and less healthy. Limitations included that the database search was confined to MEDLINE; study selection focused on national valuation studies that used standard gamble, time tradeoff, and/or visual analog scale techniques; and only English-language studies were included. CONCLUSION: Exclusion criteria used in national valuation studies vary considerably. Further consideration is necessary in this important and influential area of research, from the design stage to the reporting of results.

Interventions to reduce sedentary behaviour in 0-5-year-olds: A systematic review and meta-analysis of randomised controlled trials

Aim or objective To evaluate the effectiveness of behavioural interventions that report sedentary behaviour outcomes during early childhood. Design Systematic review and meta-analysis. Data sources Academic Search Complete, CINAHL Complete, Global Health, MEDLINE Complete, PsycINFO, SPORTDiscus with Full Text and EMBASE electronic databases were searched in March 2016. Eligibility criteria for selecting studies Inclusion criteria were: (1) published in a peer-reviewed English language journal; (2) sedentary behaviour outcomes reported; (3) randomised controlled trial (RCT) study design; and (4) participants were children with a mean age of =5.9 years and not yet attending primary/ elementary school at postintervention. Results 31 studies were included in the systematic review and 17 studies in the meta-analysis. The overall mean difference in screen time outcomes between groups was -17.12 (95% CI -28.82 to -5.42) min/day with a significant overall intervention effect (Z=2.87, p=0.004). The overall mean difference in sedentary time between groups was -18.91 (95% CI -33.31 to -4.51) min/day with a significant overall intervention effect (Z=2.57, p=0.01). Subgroup analyses suggest that for screen time, interventions of =6 months duration and those conducted in a community-based setting are most effective. For sedentary time, interventions targeting physical activity (and reporting changes in sedentary time) are more effective than those directly targeting sedentary time. Summary/conclusions Despite heterogeneity in study methods and results, overall interventions to reduce sedentary behaviour in early childhood show significant reductions, suggesting that this may be an opportune time to intervene.

Achieving growth in NAPLAN: characteristics of successful schools

Since 2008, Australian students in Years 3, 5, 7 and 9 have been assessed through the National Assessment Program – Literacy and Numeracy (NAPLAN). In 2015, the Office of the Chief Scientist commissioned a study into the processes used by schools that demonstrated successful outcomes in NAPLAN numeracy. A team of researchers across Australia conducted a total of 55 case studies in order to identify practices and policies that were consistent between successful schools. Data were gathered through surveys, classroom observations and interviews conducted with school leaders, teachers, students, and parents. Overall findings indicated there were a number of characteristics that were common to schools who achieved sustained growth in NAPLAN results. These characteristics included the development and implementation of policies that specifically supported numeracy learning and teaching, use of a variety of data sources to develop and refine mathematics teaching programs, team planning, strong numeracy leadership and a consistent school approach to teaching mathematics. This paper presents the findings from three case study schools as illustrative examples of how the identified characteristics were enacted in practice. The study has particular implications for policy makers and school leaders who may be seeking ways to develop consistent and effective mathematical practices in their own schools.

Multi-Scale Governance of Sustainable Natural Resource Use—Challenges and Opportunities for Monitoring and Institutional Development at the National and Global Level

In a globalized economy, the use of natural resources is determined by the demand of modern production and consumption systems, and by infrastructure development. Sustainable natural resource use will require good governance and management based on sound scientific information, data and indicators. There is a rich literature on natural resource management, yet the national and global scale and macro-economic policy making has been underrepresented. We provide an overview of the scholarly literature on multi-scale governance of natural resources, focusing on the information required by relevant actors from local to global scale. Global natural resource use is largely determined by national, regional, and local policies. We observe that in recent decades, the development of public policies of natural resource use has been fostered by an “inspiration cycle” between the research, policy and statistics community, fostering social learning. Effective natural resource policies require adequate monitoring tools, in particular indicators for the use of materials, energy, land, and water as well as waste and GHG emissions of national economies. We summarize the state-of-the-art of the application of accounting methods and data sources for national material flow accounts and indicators, including territorial and product-life-cycle based approaches. We show how accounts on natural resource use can inform the Sustainable Development Goals (SDGs) and argue that information on natural resource use, and in particular footprint indicators, will be indispensable for a consistent implementation of the SDGs. We recognize that improving the knowledge base for global natural resource use will require further institutional development including at national and international levels, for which we outline options.

L’infirmière en GMF : vers une meilleure connaissance des activités réalisées auprès des personnes atteintes de maladies chroniques

Résumé : Contexte : Depuis la création des Groupes de médecine de famille (GMF), les infirmières peuvent assurer le suivi des personnes atteintes de maladies chroniques (MC). Il existe des écarts entre la littérature et la pratique. Un constat provincial permettra une compréhension des enjeux d’optimisation de la pratique infirmière auprès de cette clientèle grandissante. Objectifs : 1) décrire les activités de l’infirmière en GMF auprès des personnes atteintes de MC; 2) décrire les éléments contextuels déterminants de ces activités; 3) dresser un portrait provincial des activités des infirmières de GMF auprès des personnes atteintes de MC. Méthode : Un devis mixte séquentiel exploratoire en trois volets a été effectué. Volet 1 : Une étude de cas multiple a été réalisée auprès de dix infirmières de GMF. Cinq sources de données ont été utilisées : 1) observation des rencontres infirmière-patient (n=10); 2) entrevues individuelles avec chaque infirmière (n=10); 3) entrevues individuelles avec chaque patient (n=10); 4) audit des notes infirmières au dossier des patients participant (n=10) et; 5) documents administratifs décrivant la pratique des infirmières à l’intérieur des GMF. L’analyse qualitative a permis de générer une liste d’activités et de décrire les éléments contextuels qui déterminent les activités. Volet 2 : Un questionnaire électronique a été créé à l’aide de la liste d’activités produite lors du Volet 1 et de la recension des écrits. Il a été validé et prétesté. Volet 3 : Une enquête provinciale a été réalisée auprès de 322 infirmières de GMF. Des analyses descriptives telles que des fréquences, moyennes, étendues et écarts types ont été effectuées. Résultats : Volet 1 : les activités des infirmières de GMF auprès des personnes atteintes de MC sont regroupées en cinq domaines. Des éléments liés à l’organisation, aux infirmières et aux personnes atteintes de MC peuvent influencer les activités. Volet 3 : 266 infirmières ont complété le questionnaire. Les résultats démontrent que leurs activités se situent principalement dans les domaines de la Promotion de la santé et de l’Évaluation globale de la condition de la personne. Les activités en lien avec la Collaboration infirmière-médecin et l’Organisation de l’offre de services sont réalisées de façon occasionnelle. Conclusion : Cette étude a permis une description en profondeur des activités des infirmières de GMF auprès des personnes atteintes de MC. Il s’agissait d’un jalon important en vue d’optimiser les interventions liées à la prise en charge des MC en soins de première ligne.

Caracterización sociodemográfica de las enfermedades huérfanas en Colombia

Las enfermedades huérfanas en Colombia, se definen como aquellas crónicamente debilitantes, que amenazan la vida, de baja prevalencia (menor 1/5000) y alta complejidad. Se estima que a nivel mundial existen entre 6000 a 8000 enfermedades raras diferentes(1). Varios países a nivel mundial individual o colectivamente, en los últimos años han creado políticas e incentivos para la investigación y protección de los pacientes con enfermedades raras. Sin embargo, a pesar del creciente número de publicaciones; la información sobre su etiología, fisiología, historia natural y datos epidemiológicos persiste escasa o ausente. Los registros de pacientes, son una valiosa herramienta para la caracterización de las enfermedades, su manejo y desenlaces con o sin tratamiento. Permiten mejorar políticas de salud pública y cuidado del paciente, contribuyendo a mejorar desenlaces sociales, económicos y de calidad de vida. En Colombia, bajo el decreto 1954 de 2012 y las resoluciones 3681 de 2013 y 0430 de 2013 se creó el fundamento legal para la creación de un registro nacional de enfermedades huérfanas. El presente estudio busca determinar la caracterización socio-demográfica y la prevalencia de las enfermedades huérfanas en Colombia en el periodo 2013. Métodos: Se realizó un estudio observacional de corte transversal de fuente secundaria sobre pacientes con enfermedades huérfanas en el territorio nacional; basándose en el registro nacional de enfermedades huérfanas obtenido por el Ministerio de Salud y Protección Social en el periodo 2013 bajo la normativa del decreto 1954 de 2012 y las resoluciones 3681 de 2013 y 0430 de 2013. Las bases de datos obtenidas fueron re-categorizadas en Excel versión 15.17 para la extracción de datos y su análisis estadístico posterior, fue realizado en el paquete estadístico para las ciencias sociales (SPSS v.20, Chicago, IL). Resultados: Se encontraron un total de 13173 pacientes con enfermedades huérfanas para el 2013. De estos, el 53.96% (7132) eran de género femenino y el 46.03% (6083) masculino; la mediana de la edad fue de 28 años con un rango inter-cuartil de 39 años, el 9% de los pacientes presentaron discapacidad. El registro contenía un total de 653 enfermedades huérfanas; el 34% del total de las enfermedades listadas en nuestro país (2). Las patologías más frecuentes fueron el Déficit Congénito del Factor VIII, Miastenia Grave, Enfermedad de Von Willebrand, Estatura Baja por Anomalía de Hormona de Crecimiento y Displasia Broncopulmonar. Discusión: Se estimó que aproximadamente 3.3 millones de colombianos debían tener una enfermedad huérfana para el 2013. El registro nacional logró recolectar datos de 13173 (0.4%). Este bajo número de pacientes, marca un importante sub-registro que se debe al uso de los códigos CIE-10, desconocimiento del personal de salud frente a las enfermedades huérfanas y clasificación errónea de los pacientes. Se encontraron un total de 653 enfermedades, un 34% de las enfermedades reportadas en el listado nacional de enfermedades huérfanas (2) y un 7% del total de enfermedades reportadas en ORPHANET para el periodo 2013 (3). Conclusiones: La recolección de datos y la sensibilización sobre las enfermedades huérfanas al personal de salud, es una estrategia de vital importancia para el diagnóstico temprano, medidas específicas de control e intervenciones de los pacientes. El identificar apropiadamente a los pacientes con este tipo de patologías, permite su ingreso en el registro y por ende mejora el sub-registro de datos. Sin embargo, cabe aclarar que el panorama ideal sería, el uso de un sistema de recolección diferente al CIE-10 y que abarque en mayor medida la totalidad de las enfermedades huérfanas.

Prevalencia de morbilidad osteomuscular en una empresa de servicios de seguridad electrónica en Bogotá, 2013

Introducción: actualmente los trastornos músculo esqueléticos (TME) han sido reconocidos como la principal causa de morbilidad en el trabajo, dado el porcentaje de ausentismo laboral que representa, generando reducción en la productividad de las industrias. Una visión general de la prevalencia en TME puede conducir a métodos de prevención de morbilidad adecuados para cada tipo de proceso, y así proporcionar un ambiente más seguro y confortable. Objetivo: determinar la prevalencia de síntomas osteomusculares y su relación con factores individuales y laborales en personal de una empresa dedicada a prestar servicio de seguridad electrónica en Bogotá, en el 2013. Métodos: estudio de corte transversal, desarrollado a partir de fuentes de datos secundarios de una población de 199 trabajadores, con información sociodemográfica y síntomas osteomusculares en los distintos roles laborales (administrativo, soporte y de campo) de una empresa de servicios en seguridad electrónica. Se usaron métodos estadísticos para el cálculo de proporciones, se estimaron las prevalencias osteomusculares globales, realizando comparaciones por rol laboral. La revisión de la asociación entre factores sociodemográficos y laborales con síntomas de TME se hizo a través de la prueba Chi2 de asociación o prueba exacta de Fisher. Resultados: Los segmentos que mostraron la mayor frecuencia en morbilidad de TME fueron espalda, cuello, muñecas y manos. Se encontró asociación entre dolor de hombros y brazos con la edad, OR=0,54 (IC95%=0,30-0,95) y tiempo en el cargo, OR=1,855(IC 95%=1,043-3,297); entre dolor de cuello y edad OR=0,50 (IC95%=0,27-0,90) y entre dolor de muñecas y/o manos con tiempo en el cargo, OR=1,827(IC 95%=1,032-3,235). Conclusión: Se presenta morbilidad por TME en varios segmentos, derivados de factores (individuales y laborales), ratificando la importancia de hacer intervenciones integrales de control de riesgos para su prevención.