Medicine (St Vincent's) - Research Publications
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ItemArea-level socioeconomic characteristics and incidence of metabolic syndrome: a prospective cohort study(BMC, 2013-07-25)BACKGROUND: The evidence linking socioeconomic environments and metabolic syndrome (MetS) has primarily been based on cross-sectional studies. This study prospectively examined the relationships between area-level socioeconomic position (SEP) and the incidence of MetS. METHODS: A prospective cohort study design was employed involving 1,877 men and women aged 18+ living in metropolitan Adelaide, Australia, all free of MetS at baseline. Area-level SEP measures, derived from Census data, included proportion of residents completing a university education, and median household weekly income. MetS, defined according to International Diabetes Federation, was ascertained after an average of 3.6 years follow up. Associations between each area-level SEP measure and incident MetS were examined by Poisson regression Generalised Estimating Equations models. Interaction between area- and individual-level SEP variables was also tested. RESULTS: A total of 156 men (18.7%) and 153 women (13.1%) developed MetS. Each percentage increase in the proportion of residents with a university education corresponded to a 2% lower risk of developing MetS (age and sex-adjusted incidence risk ratio (RR)=0.98; 95% confidence interval (CI) =0.97-0.99). This association persisted after adjustment for individual-level income, education, and health behaviours. There was no significant association between area-level income and incident MetS overall. For the high income participants, however, a one standard deviation increase in median household weekly income was associated with a 29% higher risk of developing MetS (Adjusted RR=1.29; 95%CI=1.04-1.60). CONCLUSIONS: While area-level education was independently and inversely associated with the risk of developing MetS, the association between area-level income and the MetS incidence was modified by individual-level income.
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ItemFactors influencing health care utilisation among Aboriginal cardiac patients in central Australia: a qualitative study(BMC, 2013-03-06)BACKGROUND: Aboriginal Australians suffer from poorer overall health compared to the general Australian population, particularly in terms of cardiovascular disease and prognosis following a cardiac event. Despite such disparities, Aboriginal Australians utilise health care services at much lower rates than the general population. Improving health care utilisation (HCU) among Aboriginal cardiac patients requires a better understanding of the factors that constrain or facilitate use. The study aimed to identify ecological factors influencing health care utilisation (HCU) for Aboriginal cardiac patients, from the time of their cardiac event to 6-12 months post-event, in central Australia. METHODS: This qualitative descriptive study was guided by an ecological framework. A culturally-sensitive illness narrative focusing on Aboriginal cardiac patients' "typical" journey guided focus groups and semi-structured interviews with Aboriginal cardiac patients, non-cardiac community members, health care providers and community researchers. Analysis utilised a thematic conceptual matrix and mixed coding method. Themes were categorised into Predisposing, Enabling, Need and Reinforcing factors and identified at Individual, Interpersonal, Primary Care and Hospital System levels. RESULTS: Compelling barriers to HCU identified at the Primary Care and Hospital System levels included communication, organisation and racism. Individual level factors related to HCU included language, knowledge of illness, perceived need and past experiences. Given these individual and health system barriers patients were reliant on utilising alternate family-level supports at the Interpersonal level to enable their journey. CONCLUSION: Aboriginal cardiac patients face significant barriers to HCU, resulting in sub-optimal quality of care, placing them at risk for subsequent cardiovascular events and negative health outcomes. To facilitate HCU amongst Aboriginal people, strategies must be implemented to improve communication on all levels and reduce systemic barriers operating within the health system.
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ItemInvestigating Individual- and Area-Level Socioeconomic Gradients of Pulse Pressure among Normotensive and Hypertensive Participants(MDPI AG, 2013-02)Socioeconomic status is a strong predictor of cardiovascular disease. Pulse pressure, the difference between systolic and diastolic blood pressure, has been identified as an important predictor of cardiovascular risk even after accounting for absolute measures of blood pressure. However, little is known about the social determinants of pulse pressure. The aim of this study was to examine individual- and area-level socioeconomic gradients of pulse pressure in a sample of 2,789 Australian adults. Using data from the North West Adelaide Health Study we estimated the association between pulse pressure and three indices of socioeconomic status (education, income and employment status) at the area and individual level for hypertensive and normotensive participants, using Generalized Estimating Equations. In normotensive individuals, area-level education (estimate: -0.106; 95% CI: -0.172, -0.041) and individual-level income (estimate: -1.204; 95% CI: -2.357, -0.050) and employment status (estimate: -1.971; 95% CI: -2.894, -1.048) were significant predictors of pulse pressure, even after accounting for the use of medication and lifestyle behaviors. In hypertensive individuals, only individual-level measures of socioeconomic status were significant predictors of pulse pressure (education estimate: -2.618; 95% CI: -4.878, -0.357; income estimate: -1.683, 95% CI: -3.743, 0.377; employment estimate: -2.023; 95% CI: -3.721, -0.326). Further research is needed to better understand how individual- and area-level socioeconomic status influences pulse pressure in normotensive and hypertensive individuals.
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ItemRelative residential property value as a socio-economic status indicator for health research(BMC, 2013-04-15)BACKGROUND: Residential property is reported as the most valuable asset people will own and therefore provides the potential to be used as a socio-economic status (SES) measure. Location is generally recognised as the most important determinant of residential property value.Extending the well-established relationship between poor health and socio-economic disadvantage and the role of residential property in the overall wealth of individuals, this study tested the predictive value of the Relative Location Factor (RLF), a SES measure designed to reflect the relationship between location and residential property value, and six cardiometabolic disease risk factors, central obesity, hypertriglyceridemia, reduced high density lipoprotein (HDL), hypertension, impaired fasting glucose, and high low density lipoprotein (LDL). These risk factors were also summed and expressed as a cumulative cardiometabolic risk (CMR) score. METHODS: RLF was calculated using a global hedonic regression model from residential property sales transaction data based upon several residential property characteristics, but deliberately blind to location, to predict the selling price of the property. The predicted selling price was divided by the actual selling price and the results interpolated across the study area and classified as tertiles. The measures used to calculate CMR were collected via clinic visits from a population-based cohort study. Models with individual risk factors and the cumulative cardiometabolic risk (CMR) score as dependent variables were respectively tested using log binomial and Poisson generalised linear models. RESULTS: A statistically significant relationship was found between RLF, the cumulative CMR score and all but one of the risk factors. In all cases, participants in the most advantaged and intermediate group had a lower risk for cardio-metabolic diseases. For the CMR score the RR for the most advantaged was 19% lower (RR = 0.81; CI 0.76-0.86; p <0.0001) and the middle group was 9% lower (RR = 0.91; CI 0.86-0.95; p <0.0001) than the least advantaged group. CONCLUSIONS: This paper advances the understanding of the nexus between place, health and SES by providing an objective spatially informed SES measure for testing health outcomes and reported a robust association between RLF and several health measures.
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ItemNutritional impacts of a fruit and vegetable subsidy programme for disadvantaged Australian Aboriginal children(CAMBRIDGE UNIV PRESS, 2013-12-28)Healthy food subsidy programmes have not been widely implemented in high-income countries apart from the USA and the UK. There is, however, interest being expressed in the potential of healthy food subsidies to complement nutrition promotion initiatives and reduce the social disparities in healthy eating. Herein, we describe the impact of a fruit and vegetable (F&V) subsidy programme on the nutritional status of a cohort of disadvantaged Aboriginal children living in rural Australia. A before-and-after study was used to assess the nutritional impact in 174 children whose families received weekly boxes of subsidised F&V organised through three Aboriginal medical services. The nutritional impact was assessed by comparing 24 h dietary recalls and plasma carotenoid and vitamin C levels at baseline and after 12 months. A general linear model was used to assess the changes in biomarker levels and dietary intake, controlled for age, sex, community and baseline levels. Baseline assessment in 149 children showed low F&V consumption. Significant increases (P< 0.05) in β-cryptoxanthin (28.9 nmol/l, 18%), vitamin C (10.1 μmol/l, 21%) and lutein-zeaxanthin (39.3 nmol/l, 11%) levels were observed at the 12-month follow-up in 115 children, although the self-reported F&V intake was unchanged. The improvements in the levels of biomarkers of F&V intake demonstrated in the present study are consistent with increased F&V intake. Such dietary improvements, if sustained, could reduce non-communicable disease rates. A controlled study of healthy food subsidies, together with an economic analysis, would facilitate a thorough assessment of the costs and benefits of subsidising healthy foods for disadvantaged Aboriginal Australians.