480 resultados para The Australian


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 Next Generation DNA sequencing was used to develop a suite of microsatellite markers for the marine mollusk, Donax deltoides. A total of 20 polymorphic loci were identified and 12 characterized using 30 individuals from a single population (Venus Bay) in south eastern Australia. We observed moderate to high genetic variation across most loci (mean number of alleles per locus = 7.3; mean heterozygosity = 0.633) with only a single locus (Ddel32) displaying significant deviation from Hardy–Weinberg equilibrium. Marker independence was confirmed with tests for linkage disequilibrium, however two loci were found to be influenced by null alleles. The 10 viable markers characterized in the present study provide a valuable resource for future population genetic assessments and fisheries management of D. deltoides in Australia.

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The Australian Science Curriculum has appeared at a time when there is widespread concern for the quality of science teaching and learning in Australia and the engagement of students in learning science, leading to calls for significant reform. The new curriculum thus carries the hopes of reform-minded scientists and educators for a change in the way science in schools can support teaching practices that engage students in quality learning. This analysis will examine whether it is an adequate vehicle for doing this. Will it live up to our expectations?

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Context: Serum 25-hydroxyvitamin D [25(OH)D] concentration has been inversely associated with the prevalence of metabolic syndrome (MetS), but the relationship between 25(OH)D and incident MetS remains unclear.

Objective: We evaluated the prospective association between 25(OH)D, MetS, and its components in a large population-based cohort of adults aged 25 yr or older.

Design: We used baseline (1999–2000) and 5-yr follow-up data of the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab).

Participants: Of the 11,247 adults evaluated at baseline, 6,537 returned for follow-up. We studied those without MetS at baseline and with complete data (n = 4164; mean age 50 yr; 58% women; 92% Europids).

Outcome Measures: We report the associations between baseline 25(OH)D and 5-yr MetS incidence and its components, adjusted for age, sex, ethnicity, season, latitude, smoking, family history of type 2 diabetes, physical activity, education, kidney function, waist circumference (WC), and baseline MetS components.

Results: A total of 528 incident cases (12.7%) of MetS developed over 5 yr. Compared with those in the highest quintile of 25(OH)D (≥34 ng/ml), MetS risk was significantly higher in people with 25(OH)D in the first (<18 ng/ml) and second (18–23 ng/ml) quintiles; odds ratio (95% confidence interval) = 1.41 (1.02–1.95) and 1.74 (1.28–2.37), respectively. Serum 25(OH)D was inversely associated with 5-yr WC (P < 0.001), triglycerides (P < 0.01), fasting glucose (P < 0.01), and homeostasis model assessment for insulin resistance (P < 0.001) but not with 2-h plasma glucose (P = 0.29), high-density lipoprotein cholesterol (P = 0.70), or blood pressure (P = 0.46).

Conclusions: In Australian adults, lower 25(OH)D concentrations were associated with increased MetS risk and higher WC, serum triglyceride, fasting glucose, and insulin resistance at 5 yr. Vitamin D supplementation studies are required to establish whether the link between vitamin D deficiency and MetS is causal.

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Background: Lower socioeconomic status (SES) is strongly associated with a higher prevalence of major cardiovascular risk factors, but few studies have examined changes in these risk factors over time according to SES. We aimed to determine whether SES is a predictor of the change in cardiovascular risk factor levels in a contemporary Australian adult cohort

Methods: Participants in the population-based AusDiab study aged 25+ years who attended both baseline and 5-year follow-up examinations (n=5 954) were categorised according to their level of education at baseline. Cardiovascular risk factor data at both time points were ascertained through questionnaire and physical measurement. Analysis was stratified by gender.

Results: The mean levels of systolic blood pressure, total cholesterol and the prevalence of smoking decreased between the two time points across all educational categories. Increases were also seen in mean BMI and the prevalence of diabetes. For blood pressure, the smallest decrease was seen among men with lower education (age-adjusted difference from higher education 2.8 mmHg, 95% CI 1.0 to 4.6). For total cholesterol, the decrease was greatest among women with lower education (age-adjusted difference from higher education 0.11 mmol/l, 95% CI 0.19 to 0.02). Among those "not at risk" at baseline for each risk factor, women with lower education were more likely than those with higher education to progress to being "at risk" for BMI (age-adjusted odds ratio 1.60, 95% CI 1.09 to 2.35).

Conclusion: Educational gradients narrowed for total cholesterol in women, but widened for systolic blood pressure in men and remained static for other risk factors. Lower education was also associated with an earlier onset of overweight or obesity in women. Given current socioeconomic gradients in risk factors levels, these findings suggest that social inequalities in CVD will persist and may even widen in the future.

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Lower socioeconomic status (SES) is associated with a higher prevalence of major risk factors for cardiovascular disease (CVD). However, few longitudinal studies have examined the association between SES and CVD risk factors over time. We aimed to determine whether SES, using education as a proxy, is associated with the onset of CVD risk factors over 5 years in an Australian adult cohort study.

Participants in the Australian Diabetes, Obesity and Lifestyle study (AusDiab) study aged 25 years and over who attended both baseline and 5-year follow-up examinations (n=5 967) were categorised according to educational attainment. Cardiovascular risk factor data at both time points were ascertained through questionnaire and physical measurement.

Women with lower education had a greater risk of progressing from normal weight to overweight or obesity than those with higher education (age-adjusted OR 1.57, 95% CI 1.06-2.31). Both men and women with lower education were more likely to develop diabetes (age-adjusted OR from higher education 1.75, 95% CI 1.14-2.71 and 3.01, 95% CI 1.26-7.20, respectively). A lower level of education was associated with a greater number of risk factors accumulated over time in women (OR of progressing from having two or less risk factors at baseline to three or more at follow up, 2.04, 95% 1.32-3.14).

In this Australian population-based study, lower educational attainment was associated with an increased risk of developing both individual and total CVD risk factors over a 5-year period. These findings suggest that SES inequalities in CVD will persist into the future.

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This study aimed to estimate utility-based quality of life (UQoL) differences between healthy body weight and excess body weight categories. Cross-sectional analysis of 10,959 adults, participating in baseline data collection of the nationally representative Australian Diabetes, Obesity, and Lifestyle (AusDiab) Study was undertaken. Height and weight were measured by trained personnel. Body weight categories were assigned as healthy weight, overweight, and obesity subclasses I, II and III. UQoL was assessed using the SF-6D, which captures physical functioning, role limitation, social functioning, pain, mental health, and vitality on a score of 0.00–1.00 (worst-best). The relationship between body weight categories and UQoL was assessed using linear regression, adjusting for age, sex, education, and smoking. Relative to the healthy weight group (mean UQoL score 0.77), mean adjusted UQoL differences (95% confidence intervals) were 0.001 (−0.008, 0.010) for overweight, −0.012 (−0.022, −0.001) for class-I obese, −0.020 (−0.041, 0.001) for class-II obese, and −0.069 (−0.099, −0.039) for class-III obese groups. Adding metabolic syndrome markers to the covariates had little impact on these differences. Results confirmed an inverse dose–response relationship between body weight and UQoL in this study of Australian adults. This highlights the need to incorporate UQoL measures which are sensitive to the subclasses of obesity when evaluating obesity interventions.

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The Internet has impacted the tourism sector and tourists substantially. Yet, very little information is known about how tourism organisations are using the second generation of the Internet, Web 2.0, and its various social media platforms in relation to their marketing activities. This article explores ways in which events, as an integral part of the tourism sector, are using Web 2.0 tools to build their online brand communities. While the qualitative analysis highlights benefits for events, it also identifies the risks and challenges that events face in using Web 2.0. These include the capacity to resource this aspect of marketing and the ability to protect their brand from the advent of counter- and alter-brand communities when online brand community building activities are not fully effective.

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This paper outlines the information needs underlying the health information system in Australia and the implications these have for the ability to monitor the performance of the health system. We discuss the use of indicators in performance monitoring and the role of information frameworks in providing a basis for their development. The major Australian data sources to support the development of performance indicators are outlined, and their current and likely futures uses for performance monitoring discussed.

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The report shows that Australians generally have good health and are privileged to have a range of health care services available to them. There are stark exceptions to this that can be confronting—even if well-known already—notably the generally much poorer health status of Indigenous Australians.

Health care service provider and funding arrangements are both increasingly complex and increasingly costly to both individuals and taxpayers. A continuing challenge is how to balance both the complementary and competitive perspectives of government and non-government agencies, professional groups, and small businesses. Overall, national expenditure on health was 9.7% of GDP in 2003–04; and average health expenditure per person has grown by an average 3.8% each year between 1997–98 to 2002–03. Expenditure on aids and appliances, health research and pharmaceuticals contributed more to this growth than other areas.

While the ageing of the population is having a significant impact on the number and type of health care services delivered, high quality services for children continue to be a priority. Australia’s health 2006 has a special chapter focusing on children and their health. The chapter highlights the fact that while our children are generally very healthy, there are concerns that their ongoing health could be affected by more and more of them becoming overweight or obese. Levels of diabetes are now rising among our children and it is a continuing concern that asthma and mental health problems affect so many of them.

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This report presents analyses of monitoring data from the Australian Bowel Cancer Screening Pilot Program. The purpose of the analyses is to support the overall evaluation of the Pilot and to inform the planning of the proposed national bowel cancer screening program.

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Australia's Health 2004 is the ninth biennial health report of the Australian Institute of Health and Welfare. It is the nation's authoritative source of information on patterns of health and illness, determinants of health, the supply and use of health services, and health services expenditure. The report also includes a special chapter on the health of older Australians. Australia's Health 2004 is an essential reference and information resource for all Australians with an interest in health.

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Australia's Health 2002 is the eighth biennial health report of the Australian Institute of Health and Welfare. It is the nation's authoritative source of information on patterns of health and illness, determinants of health, the supply and use of health services, and health service costs and performance. Australia's Health 2002 is an essential reference and information resource for all Australians with an interest in health.

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Australia's Health 2000 is the seventh biennial health report of the Australian Institute of Health and Welfare. It is the nation's authoritative source of information on patterns of health and illness, determinants of health, the supply and use of health services, and health services costs and performance.This 2000 edition serves as a summary of Australia's health record at the end of the twentieth century. In addition, a special chapter is presented on changes in Australia's disease profile over the last 100 years.Australia's Health 2000 is an essential reference and information source for all Australians with an interest in health.

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The fifth biennial report of the Australian Institute of Health and Welfare. This publication provides comprehensive information and the most recent data available on health and health services in Australia. It also details key sources of health information and statistics in this country, and directions for the future. Australia's Health 1996 is an important reference text and information source for all Australians with an interest in health, in addition to medical and paramedical personnel and students, health workers and those working in or studying health administration, policy, planning and management.