https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Hidden from view? Bringing refugees to the forefront of equity targets in Australian higher education https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39786 Wed 22 Jun 2022 13:15:07 AEST ]]> Colorectal cancer metastatic disease progression in Australia: a population-based analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34273 79 years vs < 60 years: 1.38 for colon, 1.69 for rectal cancer). Risk of disease progression was significantly lower for females, and varied by histology type. For colon cancer, the risk of disease progression decreased over time. For rectal cancer, risk of metastatic progression was significantly higher for those living in more socioeconomically disadvantaged areas compared with those in the least disadvantaged area. Conclusions: An understanding of the variation in risk of metastatic progression is useful for planning health service requirements, and can help inform decisions about treatment and follow-up for colorectal cancer patients.]]> Wed 17 Nov 2021 16:32:24 AEDT ]]> Struggles and strategies: does social class matter in higher education https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32864 Wed 17 Mar 2021 19:09:40 AEDT ]]> Beyond DRG: The effect of socio-economic indicators on inpatient resource allocation in Australia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42020 Wed 17 Aug 2022 10:42:28 AEST ]]> The Nutrition and Enjoyable Activity for Teen girls (NEAT girls) randomized controlled trial for adolescent girls from disadvantaged secondary schools: rationale, study protocol, and baseline results https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9285 Wed 11 Apr 2018 16:17:28 AEST ]]> Is inequity undermining Australia's 'universal' health care system?: socio-economic inequalities in the use of specialist medical and non-medical ambulatory health care https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7653 Wed 11 Apr 2018 15:25:14 AEST ]]> The social context of smoking: a qualitative study comparing smokers of high versus low socioeconomic position https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10029 Wed 11 Apr 2018 13:53:47 AEST ]]> Time and money explain social class differences in students’ social integration at university https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25936 Wed 11 Apr 2018 13:49:08 AEST ]]> Equity and pedagogy: familiar patterns and QT based possibilities https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2338 Wed 11 Apr 2018 10:37:53 AEST ]]> Socio-economic inequalities in health among older adults in two rural sub-districts in India and Bangladesh: a comparative cross-sectional study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30402 Tue 19 Mar 2019 12:59:03 AEDT ]]> Socio-economic status and exclusive breastfeeding among infants in a Ugandan cross-sectional study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37417 Thu 12 Nov 2020 17:38:56 AEDT ]]> The complex relationship between mental health and social conditions in the lives of young Australians mixing work and study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33304 Thu 04 Oct 2018 16:48:26 AEST ]]> Further increases in rural suicide in young Australian adults: secular trends, 1979-2003 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9938 Sat 24 Mar 2018 08:14:19 AEDT ]]> An empirical analysis of the use of the Herfindahl-Hirschman Index in assessing the distribution of electronic gaming machines and its socio-economic implications https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19959 Sat 24 Mar 2018 07:58:34 AEDT ]]> A population-based study of progression to metastatic prostate cancer in Australia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21004 74 years: HR=2.73, 95% CI: 2.55-2.93), and those living in inner regional (HR=1.11, 95% CI: 1.04-1.18) or rural areas (HR=1.24, 95% CI: 1.14-1.36) or more disadvantaged areas (middle tertile: HR=1.09, 95% CI: 1.02-1.16; most disadvantaged: HR=1.12, 95% CI: 1.04-1.19). The risk of developing metastatic disease decreased over calendar time (adjusted HR=0.98, 95% CI: 0.97-0.99 per year). Conclusions: After a median follow-up of 6.8 years more than 1 in 5 men diagnosed with non-metastatic prostate cancer developed distant metastases. This estimate of the overall risk of developing metastatic disease in the population, and the geographical disparities identified, can inform the planning of required cancer services.]]> Sat 24 Mar 2018 07:50:38 AEDT ]]> Assessing the impact of socio-economic status on cancer survival in New South Wales, Australia 1996-2001 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5076 Sat 24 Mar 2018 07:48:44 AEDT ]]> Spatial dependence in Australian cities: an update https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6188 Sat 24 Mar 2018 07:44:39 AEDT ]]> Characteristics of cases with unknown stage prostate cancer in a population-based cancer registry https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23724 Sat 24 Mar 2018 07:16:57 AEDT ]]> A randomized clinical trial of a financial education intervention with nicotine replacement therapy (NRT) for low socio-economic status Australian smokers: a study protocol https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25030 Sat 24 Mar 2018 07:10:49 AEDT ]]> The role of socio-economic status and energy-density in Australian women of child-bearing age https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44161 n = 1617) was conducted. Dietary intake was assessed by 24-hr recalls and dietary ED by dietary energy per weight (kJ.g−1). ED was further categorised as ED of foods and beverages separately. SES was assessed by three variables: Socio-Economic Indexes for Areas (SEIFA), developed by the Australian Bureau of Statistics; income decile; and level of education. Linear mixed model regressions were used to identify associations between ED and SES. Results: The median ED for food, beverages and combined food and beverages was 9.38 kJ g−1, 1.02 kJ g−1 and 7.11 kJ g−1, respectively. No significant variation was explained by SES variables when analysing combined ED in the adjusted model or ED from foods. Income decile reduced ED of beverages, although with little effect (coefficient: −0.04, P = 0.002). Significant confounders included inactivity, which increased ED in both combined ED and ED foods (coefficient: 0.51, P = 0.001 and coefficient: 0.78, P < 0.001). Conclusions: SES explained little variation in dietary ED in women of childbearing age. A large proportion of women had high energy-dense diets regardless of their SES. These findings suggest that a large proportion of women, who may become pregnant, have diets that exceed the international recommendations for dietary energy density.]]> Mon 10 Oct 2022 09:52:35 AEDT ]]> Centre of Excellence for Equity in Higher Education (occasional papers): Widening participation in higher education: international perspectives https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36586 Fri 10 Jul 2020 15:21:53 AEST ]]>