135 resultados para Turrell
Resumo:
The ‘single most important technological discovery since the birth of the p.c.’, (Gates, 1996). The swift increase in Internet utilisation within businesses and surveying has changed working methods within UK based Surveying practices. User numbers expanded rapidly since the early 1990’s and estimates place a figure of 150 million internet users globally (www.Yahoo.com, 2000). Sloan and Kee Low (2000) established that ‘e-commerce’ is a revolutionary way of trading and conducting business activities. There are opportunities for surveying practices including, reducing communication time, increasing revenues from new and existing sources, enhanced client satisfaction and competitive advantage (Cronin, 1996). Others (Dixon, 1998) perceive threats, such as ‘disintermediation’, to the traditional role of the surveyor.
This research examined the levels of internet and intranet access within the UK Building and Quantity Surveying practices and corporate firms to establish how the internet has affected working methods and client requirements. The research method comprised a qualitative approach using an email and postal questionnaire survey of a random sample of practices. The questionnaire findings formed the basis of semi structured interviews conducted with senior management of large practices to gain a deeper understanding of the issues identified within the survey.
Data analysis revealed the traditional role of the surveyor as a broker of information may be under threat in the long term. Generally levels of internet access in the sample exceed that of general business levels (Dti, 2000) with the largest growth pre 1997. The perceived advantages and barriers to Intranet and Internet usage were identified by the research.
Resumo:
Aims To assess the association between access to off-premises alcohol outlets and harmful alcohol consumption.
Design, setting and participants Multi-level study of 2334 adults aged 18–75 years from 49 census collector districts (the smallest spatial unit in Australia at the time of survey) in metropolitan Melbourne.
Measurements Alcohol outlet density was defined as the number of outlets within a 1-km road network of respondents’ homes and proximity was the shortest road network distance to the closest outlet from their home. Using multi-level logistic regression we estimated the association between outlet density and proximity and four measures of harmful alcohol consumption: drinking at levels associated with short-term harm at least weekly and monthly; drinking at levels associated with long-term harm and frequency of consumption.
Findings Density of alcohol outlets was associated with increased risk of drinking alcohol at levels associated with harm. The strongest association was for short-term harm at least weekly [odds ratio (OR) 1.10, 95% confidence interval (CI) 1.04–1.16]. When density was fitted as a categorical variable, the highest risk of drinking at levels associated with short-term harm was when there were eight or more outlets (short-term harm weekly: OR 2.36, 95% CI 1.22–4.54 and short-term harm monthly: OR 1.80, 95% CI 1.07–3.04). We found no evidence to support an association between proximity and harmful alcohol consumption.
Conclusions The number of off-premises alcohol outlets in a locality is associated with the level of harmful alcohol consumption in that area. Reducing the number of off-premises alcohol outlets could reduce levels of harmful alcohol consumption.
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Background: Although the relationship between cigarette smoking and cardiovascular disease (CVD) is well-established, the underlying mechanisms remain unclear. Smokers have a more atherogenic lipid profile but this may be mediated by lifestyle-related factors. Because detailed analysis of lipoprotein subclasses using nuclear magnetic resonance spectroscopy (NMR) may improve characterisation of lipid abnormalities, we applied the technique to investigate the relationships between smoking status, other lifestyle-related risk factors and lipoproteins in a contemporary cohort.
Methods: A total of 612 participants (360 women) aged 40-69 years at baseline (1990-1994) enrolled in the community-based Melbourne Collaborative Cohort Study had plasma lipoproteins measured using NMR. Data were analysed separately for men and women.
Results: After adjusting for other lifestyle-related risk factors, mean total low-density lipoprotein (LDL) particle concentration was higher for female smokers than non-smokers. Both medium and small LDL particle concentrations contributed to this difference. Both total high-density lipoprotein (HDL) and large HDL particle concentrations were lower for female smokers than non-smokers. The proportion at increased risk (according to NMR-determined particle size and number) was higher for female smokers than non-smokers. For men, there were few differences in lipoprotein measures related to smoking.
Conclusions: Female smokers have a more atherogenic lipoprotein profile than non-smokers, and this difference is independent of lifestyle-related risk factors. Lipoprotein profiles did not differ greatly between male smokers and non-smokers. These data reinforce the importance for women of not smoking.
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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.
Resumo:
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.
Resumo:
Background Cohort studies can provide valuable evidence of cause and effect relationships but are subject to loss of participants over time, limiting the validity of findings. Computerised record linkage offers a passive and ongoing method of obtaining health outcomes from existing routinely collected data sources. However, the quality of record linkage is reliant upon the availability and accuracy of common identifying variables. We sought to develop and validate a method for linking a cohort study to a state-wide hospital admissions dataset with limited availability of unique identifying variables.
Methods A sample of 2000 participants from a cohort study (n = 41 514) was linked to a state-wide hospitalisations dataset in Victoria, Australia using the national health insurance (Medicare) number and demographic data as identifying variables. Availability of the health insurance number was limited in both datasets; therefore linkage was undertaken both with and without use of this number and agreement tested between both algorithms. Sensitivity was calculated for a sub-sample of 101 participants with a hospital admission confirmed by medical record review.
Results Of the 2000 study participants, 85% were found to have a record in the hospitalisations dataset when the national health insurance number and sex were used as linkage variables and 92% when demographic details only were used. When agreement between the two methods was tested the disagreement fraction was 9%, mainly due to "false positive" links when demographic details only were used. A final algorithm that used multiple combinations of identifying variables resulted in a match proportion of 87%. Sensitivity of this final linkage was 95%.
Conclusions High quality record linkage of cohort data with a hospitalisations dataset that has limited identifiers can be achieved using combinations of a national health insurance number and demographic data as identifying variables.
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Background Despite declining rates of cardiovascular disease (CVD) mortality in developed countries, lower socioeconomic groups continue to experience a greater burden of the disease. There are now many evidence-based treatments and prevention strategies for the management of CVD and it is essential that their impact on the more disadvantaged group is understood if socioeconomic inequalities in CVD are to be reduced.
Aims To determine whether key interventions for CVD prevention and treatment are effective among lower socioeconomic groups, to describe barriers to their effectiveness and the potential or actual impact of these interventions on the socioeconomic gradient in CVD.
Methods Interventions were selected from four stages of the CVD continuum. These included smoking reduction strategies, absolute risk assessment, cardiac rehabilitation, secondary prevention medications, and heart failure self-management programmes. Electronic searches were conducted using terms for each intervention combined with terms for socioeconomic status (SES).
Results Only limited evidence was found for the effectiveness of the selected interventions among lower SES groups and there was little exploration of socioeconomic-related barriers to their uptake. Some broad themes and key messages were identified. In the majority of findings examined, it was clear that the underlying material, social and environmental factors associated with disadvantage are a significant barrier to the effectiveness of interventions.
Conclusion Opportunities to reduce socioeconomic inequalities occur at all stages of the CVD continuum. Despite this, current treatment and prevention strategies may be contributing to the widening socioeconomic-CVD gradient. Further research into the impact of best-practice interventions for CVD upon lower SES groups is required.
Resumo:
Background While the relationship between socio-economic disadvantage and cardiovascular disease (CVD) is well established, the role that traditional cardiovascular risk factors play in this association remains unclear. The authors examined the association between education attainment and CVD mortality and the extent to which behavioural, social and physiological factors explained this relationship.
Methods Adults (n=38 355) aged 40–69 years living in Melbourne, Australia were recruited in 1990–1994. Subjects with baseline CVD risk factor data ascertained through questionnaire and physical measurement were followed for an average of 9.4 years with CVD deaths verified by review of medical records and autopsy reports.
Results CVD mortality was higher for those with primary education only, compared with those who had completed tertiary education, with an HR of 1.66 (95% CI 1.10 to 2.49) after adjustment for age, country of birth and gender. Those from the lowest educated group had a more adverse cardiovascular risk factor profile compared with the highest educated group, and adjustment for these risk factors reduced the HR to 1.18 (95% CI 0.78 to 1.77). In analysis of individual risk factors, smoking and waist circumference explained most of the difference in CVD mortality between the highest and lowest education groups.
Conclusions Most of the excess CVD mortality in lower socio-economic groups can be explained by known risk factors, particularly smoking and overweight. While targeting cardiovascular risk factors should not divert efforts from addressing the underlying determinants of health inequalities, it is essential that known risk factors are addressed effectively among lower socio-economic groups.
Resumo:
Objective To examine the association between individual- and neighborhood-level disadvantage and self-reported arthritis.
Methods We used data from a population-based cross-sectional study conducted in 2007 among 10,757 men and women ages 40–65 years, selected from 200 neighborhoods in Brisbane, Queensland, Australia using a stratified 2-stage cluster design. Data were collected using a mail survey (68.5% response). Neighborhood disadvantage was measured using a census-based composite index, and individual disadvantage was measured using self-reported education, household income, and occupation. Arthritis was indicated by self-report. Data were analyzed using multilevel modeling.
Results The overall rate of self-reported arthritis was 23% (95% confidence interval [95% CI] 22–24). After adjustment for sociodemographic factors, arthritis prevalence was greatest for women (odds ratio [OR] 1.5, 95% CI 1.4–1.7) and in those ages 60–65 years (OR 4.4, 95% CI 3.7–5.2), those with a diploma/associate diploma (OR 1.3, 95% CI 1.1–1.6), those who were permanently unable to work (OR 4.0, 95% CI 3.1–5.3), and those with a household income <$25,999 (OR 2.1, 95% CI 1.7–2.6). Independent of individual-level factors, residents of the most disadvantaged neighborhoods were 42% (OR 1.4, 95% CI 1.2–1.7) more likely than those in the least disadvantaged neighborhoods to self-report arthritis. Cross-level interactions between neighborhood disadvantage and education, occupation, and household income were not significant.
Conclusion Arthritis prevalence is greater in more socially disadvantaged neighborhoods. These are the first multilevel data to examine the relationship between individual- and neighborhood-level disadvantage upon arthritis and have important implications for policy, health promotion, and other intervention strategies designed to reduce the rates of arthritis, indicating that intervention efforts may need to focus on both people and places.
