68 resultados para wide


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This study provides evidence on the principal determinants of pregnancy and abortion in India using a large country-wide district-level data set (DLHS 2007). The paper provides an economic framework for the analysis of pregnancy and abortion. The study distinguishes between induced and spontaneous abortion and compares the effects of their determinants.

The results show that there are wide differences between induced and spontaneous abortions in terms of the sign and magnitude of the estimated effects of several of their determinants, most notably wealth, the woman’s age and her desire for children. The study makes a methodological contribution by proposing a trivariate probit estimation framework that recognizes the joint dependence of pregnancy and induced and spontaneous abortion, and provides evidence in support of this joint dependence.

The study reports an inverted U-shaped effect of a woman’s age on her pregnancy and both forms of abortion. The turning point in each case is quite robust to the estimation framework. A significant effect of contextual variables, at the village level, constructed from the individual responses, on a woman’s pregnancy is found. The effects are weaker in the case of induced abortion, and insignificant in the case of spontaneous abortion. The results are shown to be fairly robust. This paper extends the literature on the relation between son preference and fertility by examining the link between mother’s son preference and desire for more children with abortion rates.

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Issues addressed

Community-based programs that affect healthy environments and policies have emerged as an effective response to high obesity levels in populations. Apart from limited individual reports, little is currently known about these programs, limiting the potential to provide effective support, to promote effective practice, prevent adverse outcomes and disseminate intervention results and experience. The aim of the present study was to identify the size and reach of current community-based obesity prevention projects in Australia and to examine their characteristics, program features (e.g. intervention setting), capacity and approach to obesity prevention.

Methods:
Detailed survey completed by representatives from community-based obesity prevention initiatives in Australia.

Results:
There was wide variation in funding, capacity and approach to obesity prevention among the 78 participating projects. Median annual funding was Au$94 900 (range Au$2500–$4.46 million). The most common intervention settings were schools (39%). Forty per cent of programs focused on a population group of ≥50 000 people. A large proportion of respondents felt that they did not have sufficient resources or staff training to achieve project objectives.

Conclusion:
Community-based projects currently represent a very large investment by both government and non-government sectors for the prevention of obesity. Existing projects are diverse in size and scope, and reach large segments of the population. Further work is needed to identify the full extent of existing community actions and to monitor their reach and future ‘scale up’ to ensure that future activities aim for effective integration into systems, policies and environments.

So what?:
Community-based programs make a substantial contribution to the prevention of obesity and promotion of healthy lifestyles in Australia. A risk of the current intervention landscape is that effective approaches may go unrecognised due to lack of effective evaluations or limitations in program design, duration or size. Policy makers and researchers must recognise the potential contribution of these initiatives, to both public health and knowledge generation, and provide support for strong evaluation and sustainable intervention designs.

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Current single-locus-based analyses and candidate disease gene prediction methodologies used in genome-wide association studies (GWAS) do not capitalize on the wealth of the underlying genetic data, nor functional data available from molecular biology. Here, we analyzed GWAS data from the Wellcome Trust Case Control Consortium (WTCCC) on coronary artery disease (CAD). Gentrepid uses a multiple-locus-based approach, drawing on protein pathway- or domain-based data to make predictions. Known disease genes may be used as additional information (seeded method) or predictions can be based entirely on GWAS single nucleotide polymorphisms (SNPs) (ab initio method). We looked in detail at specific predictions made by Gentrepid for CAD and compared these with known genetic data and the scientific literature. Gentrepid was able to extract known disease genes from the candidate search space and predict plausible novel disease genes from both known and novel WTCCC-implicated loci. The disease gene candidates are consistent with known biological information. The results demonstrate that this computational approach is feasible and a valuable discovery tool for geneticists.

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School-wide curriculum innovations are complex fields of practice, held together by a cast of heterogeneous actors who put various and diverse discourses to work in their everyday efforts to shape their work. This paper draws upon ethnographic data collected in a large regional primary school that since the beginning of 2012 has implemented a school-wide science specialism. In this paper, we focus on one feature of the initiative - classroom animals. We explore the discursive construction of ‘classroom animals' in relation to teachers work and student learning, framing our discussion around three dichotomies found in the data that raise questions about: the nature of science education; what it means to be a good teacher in this context; and, what it means to be a good classroom animal. Tensions between canonical, disciplinary approaches to science education and broader, cross-curricular and critical approaches contribute to the broad context of this paper, and implications for embedding science teaching and learning in the everyday work of primary teachers and students are discussed.

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Curtin University's Curriculum 2010 (C2010) initiative aimed at ensuring degree programs were excellent and sustainable. Before C2010, graduate attributes were not universally emphasised and indicators showed room for improvement in generic skills. C2010 focused on embedding graduate attributes through three strategies. The first was embedding graduate attributes in degree programs and mapping for constructive alignment of outcomes and assessments. The second strategy was related: programs were reviewed drawing on evidence including perspectives of graduates, employers and program teams on the relative importance of graduate attributes and the extent to which they were generally demonstrated or developed. The third strategy was a university-wide eportfolio system enabling students' self- and peer-assessment of graduate attributes. Since completion of C2010, proxy indicators show improvement. However, this paper highlights the challenges associated with graduate attributes and renewal. These include: academic staff engagement, the time needed for innovations to come to fruition and evidencing achievement of graduate attributes.

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Introduction

Unhealthy diets are heavily driven by unhealthy food environments. The International Network for Food and Obesity/non-communicable diseases (NCDs) Research, Monitoring and Action Support (INFORMAS) has been established to reduce obesity, NCDs and their related inequalities globally. This paper describes the design and methods of the first-ever, comprehensive national survey on the healthiness of food environments and the public and private sector policies influencing them, as a first step towards global monitoring of food environments and policies.

Methods and analysis:
A package of 11 substudies has been identified: (1) food composition, labelling and promotion on food packages; (2) food prices, shelf space and placement of foods in different outlets (mainly supermarkets); (3) food provision in schools/early childhood education (ECE) services and outdoor food promotion around schools/ECE services; (4) density of and proximity to food outlets in communities; food promotion to children via (5) television, (6) magazines, (7) sport club sponsorships, and (8) internet and social media; (9) analysis of the impact of trade and investment agreements on food environments; (10) government policies and actions; and (11) private sector actions and practices. For the substudies on food prices, provision, promotion and retail, 'environmental equity' indicators have been developed to check progress towards reducing diet-related health inequalities. Indicators for these modules will be assessed by tertiles of area deprivation index or school deciles. International 'best practice benchmarks' will be identified, against which to compare progress of countries on improving the healthiness of their food environments and policies.

Dissemination:
This research is highly original due to the very 'upstream' approach being taken and its direct policy relevance. The detailed protocols will be offered to and adapted for countries of varying size and income in order to establish INFORMAS globally as a new monitoring initiative to reduce obesity and diet-related NCDs.

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Focus groups provide a means for participants in research to take on a greater role in the evaluation of the research and planning of its various stages. The role and outcomes of focus groups conducted with participants in a World Wide Web Project in literacy assessment and intervention are reported. Thirteen individuals with severe communication impairments participated in one of three focus groups. The groups were held after an assesment of reading skills and a trial period of intervention as part of the Web Project. The aim of the focus groups was to obtain feedback from participants about their involvement in the project and to discuss strategies for the next stage of the intervention. The focus groups offered a forum for participants to talk about what they did and did not like about the assessment and trial intervention. The discussions provided information about issues of both a practical and emotional nature that might have otherwise been unavailable to the researchers. Brainstorming of strategies provided valuable input for the next stage of the project and involved both the researchers and participants in a form of participatory action research.

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Aims: We tested whether patrons of the night-time economy who had co-consumed energy drinks or illicit stimulants with alcohol had higher blood alcohol concentration (BAC) levels than patrons who had consumed only alcohol. Design: Street intercept surveys (n=4227) were undertaken between 9 p.m. and 5 a.m. over a period of 7 months. Setting: Interviews were undertaken with patrons walking through entertainment precincts, queuing to enter venues or exiting venues in five Australian cities. Participants: The response rate was 92.1%; more than half the study sample was male (60.2%) and the median age was 23 years (range 18-72). Measurements: Data were collected on demographics, length of drinking session, venue types visited, types and quantity of alcohol consumed and other substance use. A BAC reading was recorded and a subsample of participants was tested for other drug use. Findings: Compared with the total sample (0.068%), illicit stimulant consumers (0.080%; P=0.004) and energy drink consumers (0.074%; P<0.001) had a significantly higher median BAC reading, and were more likely to engage in pre-drinking (65.6, 82.1 and 77.6%, respectively, P<0.001) and longer drinking sessions (4, 5 and 4.5 hours, respectively, P<0.001). However, stimulant use was not associated independently with higher BAC in the final multivariable model (illicit stimulants P=0.198; energy drinks P=0.112). Interaction analyses showed that stimulant users had a higher BAC in the initial stages of the drinking session, but not after 4-6 hours. Conclusions: While stimulant use does not predict BAC in and of itself, stimulants users are more likely to engage in prolonged sessions of heavy alcohol consumption and a range of risk-taking behaviours on a night out, which may explain higher levels of BAC among stimulants users, at least in the initial stages of the drinking session.

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Human genome sequencing has enabled the association of phenotypes with genetic loci, but our ability to effectively translate this data to the clinic has not kept pace. Over the past 60 years, pharmaceutical companies have successfully demonstrated the safety and efficacy of over 1,200 novel therapeutic drugs via costly clinical studies. While this process must continue, better use can be made of the existing valuable data. In silico tools such as candidate gene prediction systems allow rapid identification of disease genes by identifying the most probable candidate genes linked to genetic markers of the disease or phenotype under investigation. Integration of drug-target data with candidate gene prediction systems can identify novel phenotypes which may benefit from current therapeutics. Such a drug repositioning tool can save valuable time and money spent on preclinical studies and phase I clinical trials.