1000 resultados para The Australian


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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.

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Australia's Health is the most comprehensive and authoritative source of national information on health in Australia. Australia's Health is published mid-year in even-numbered years and provides national statistics and related information that form a record of health status, service provision and expenditure in Australia.

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Australia's Health is the most comprehensive and authoritative source of national information on health in Australia. Australia's Health is published mid-year in even-numbered years and provides national statistics and related information that form a record of health status, service provision and expenditure in Australia.

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OBJECTIVE--To examine the role of area-level socioeconomic status (SES) on the development of abnormal glucose metabolism (AGM) using national, population-based data.

RESEARCH DESIGN AND METHODS--The Australian Diabetes, Obesity and Lifestyle (AusDiab) study is a national, population-based, longitudinal study of adults aged [greater than or equal to] 25 years. A sample of 4,572 people provided complete baseline (1999 to 2000) and 5-year follow-up (2004 to 2005) data relevant for these analyses. Incident AGM was assessed using fasting plasma glucose and 2-h plasma glucose from oral glucose tolerance tests, and demographic, socioeconomic, and behavioral data were collected by interview and questionnaire. Area SES was defined using the Index of Relative Socioeconomic Disadvantage. Generalized linear mixed models were used to examine the relationship between area SES and incident AGM, with adjustment for covariates and correction for cluster design effects.

RESULTS--Area SES predicted the development of AGM, after adjustment for age, sex, and individual SES. People living in areas with the most disadvantage were significantly more likely to develop AGM, compared with those living in the least deprived areas (odds ratio 1.53; 95% CI 1.07-2.18). Health behaviors (in particular, physical activity) and central adiposity appeared to partially mediate this relationship.

CONCLUSIONS--Our findings suggest that characteristics of the physical, social, and economic aspects of local areas influence diabetes risk. Future research should focus on identifying the aspects of local environment that are associated with diabetes risk and how they might be modified.

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This is an overview of the first burden of disease and injury studies carried out in Australia. Methods developed for the World Bank and World Health Organization Global Burden of Disease Study were adapted and applied to Australian population health data. Depression was found to be the top- ranking cause of non-fatal disease burden in Australia, causing 8% of the total years lost due to disability in 1996. Mental disorders overall were responsible for nearly 30% of the non-fatal disease burden. The leading causes of total disease burden (disability-adjusted life years [DALYs]) were ischaemic heart disease and stroke, together causing nearly 18% of the total disease burden. Depression was the fourth leading cause of disease burden, accounting for 3.7% of the total burden. Of the 10 major risk factors to which the disease burden can be attributed, tobacco smoking causes an estimated 10% of the total disease burden in Australia, followed by physical inactivity (7%).