Socioeconomic correlates of mortality differentials by local government area in rural northern New South Wales, 1981-1995

Queensland Cardiovascular Data Linkage (QCard): A population-based cohort study

Queensland is Australia's hotspot for cardiovascular disease (CVD). Critically, beyond modifiable lifestyle risk factors; socio-demographic differences and environmental factors account for significant variations in healthcare use and outcomes among cardiac patients across the country. To better understand the impacts of these factors on the health of cardiac patients, there is a need for a comprehensive and robust longitudinal cohort study that can unpack the underlying dynamics. This paper describes the protocol for the Queensland Cardiovascular Linkage (QCard) Study. The QCard is a longitudinal linkage cohort study of cardiac patients who were first hospitalised with any cardiac condition in 2010, with follow up hospitalisations until December 2015. The primary aim of the QCard is to identify and characterise the nature and impact of socio-demographic inequality among those presenting for the first time with the most common form of CVD in Australia (heart disease) in Queensland from 2010 with minimum 5-years follow-up of subsequent healthcare utilisation and outcomes. A secondary aim is to undertake an exploration of the impact of environmental and specific health service factors on healthcare use and survival time in the same QCard cohort. Administrative public and private hospital inpatient, outpatient and emergency department data for all of Queensland will be linked with individual primary care data and pharmaceutical data. These data will also be linked to regional socio-demographic data and environmental data, as well as data that describes the features of each hospital in the region. The findings from the study will provide critical information for cardiac patients, clinicians and health policymakers. Such information ranges from identifying most vulnerable cardiac patients who may require targeted needs to providing estimates for cost-effective ways of evaluating healthcare interventions that seek to improve the health of cardiac patients.

Fatal crash trends for Australian young drivers 1997-2007: geographic and socioeconomic differentials

BACKGROUND

Little has been published on changes in young driver fatality rates over time. This paper examines differences in Australian young driver fatality rates over the last decade, examining important risk factors including place of residence and socioeconomic status (SES).

METHODS

Young driver (17-25years) police-recorded passenger vehicle crashes were extracted from New South Wales State records from 1997-2007. Rurality of residence and SES were classified into three levels based on drivers' residential postcode: urban, regional, or rural; and high, moderate, or low SES areas. Geographic and SES disparities in trends of fatality rates were examined by the generalized linear model. Chi-square trend test was used to examine the distributions of posted speed limits, drinking driving, fatigue, seatbelt use, vehicle age, night-time driving, and the time from crash to death across rurality and socioeconomic status.

RESULTS

Young driver fatality rate significantly decreased 5% per year (p<0.05); however, stratified analyses (by rurality and by SES) showed that only the reduction among urban drivers was significant (average 5% decrease per year, p<0.01). The higher relative risk of fatality for rural versus urban drivers, and for drivers of low versus high SES remained unchanged over the last decade. High posted speed limits, fatigue, drink driving and seatbelt non-use were significantly associated with rural fatalities, whereas high posted speed limit, fatigue, and driving an older vehicle were significantly related to low SES fatality.

CONCLUSION

The constant geographic and SES disparities in young driver fatality rates highlight safety inequities for those living in rural areas and those of low SES. Better targeted interventions are needed, including attention to behavioral risk factors and vehicle age.

Life lost due to premature deaths in New South Wales, Australia

This study attempts to measure premature mortality, in addition to overall death rates, in order to provide more information that can be used to develop and monitor health programmes that are aimed at reducing premature (often preventable) mortality in New South Wales (NSW), Australia. Premature years of potential life lost (PYPLL) and valued years of potential life lost methods are applied for mortality data in NSW from 1990 to 2002. Variations in these measures for 2001 are studied further in terms of age, sex, urban/rural residence, and socio-economic status. PYPLL rates for all leading causes of death have declined. It is shown that the average male to female ratio of PYPLLs is highest for accidents, injury and poisoning (3.4:1) followed by mental disorders (2.7:1) and cardiovascular diseases (2.6:1). Although fewer women than men die of cardiovascular diseases, there is a greater proportionate importance of cerebrovascular mortality among women. In order to further reduce premature deaths, programs are required to improve the health of people living in lower socio-economic status areas, especially in rural NSW. Targeted regional or community level programs are required to reduce avoidable deaths due to accidents, injury and poisoning occasioned by motor vehicle accidents, poisoning and suicide among young adults.

Trends in percutaneous coronary interventions in new South Wales, Australia

This is the first detailed study on percutaneous coronary intervention (PCI) in New South Wales (NSW), Australia. Hospital data for PCIs carried out between 1 July 1990 and 30 June 2002 are analysed. The study explores trends in PCI rates by selected socio-demographic factors, the utilisation of angioplasties vis-a-vis stents, emergency admissions, and selected coexisting conditions which determine the disease status of PCI patients. Logistic regression models are used to study the medical conditions that require both PCI and coronary artery bypass graft (CABG). The PCI rate has grown rapidly at 12.1% per annum, with a particularly rapid increase for persons aged 75+. The rate of multiple stent utilisation increased at 4.6% per annum. Pacific-born and Middle-Eastern-born patients are more than twice as likely as the Australian-born to have diabetes. Factors affecting failure of PCI requiring CABG include perforation and multi-vessel disease. PCI services in public hospitals need to be increased to facilitate the availability of these procedures to all segments of the population, as do targeted community-level programmes to educate high-risk groups in the control of heart diseases.

Do places affect the probability of death in Australia? A multilevel study of area-level disadvantage, individual-level socioeconomic position and all-cause mortality, 1998-2000

BACKGROUND

In Australia, studies finding an association between area-level socioeconomic disadvantage and mortality are often based on aggregate-ecological designs which confound area-level and individual-level sources of socioeconomic variation. Area-level socioeconomic differences in mortality therefore may be an artefact of varying population compositions and not the characteristics of areas as such.

OBJECTIVE

To examine the associations between area-level disadvantage and all-cause mortality before and after adjustment for within-area variation in individual-level socioeconomic position (SEP) using unlinked census and mortality-register data in a multilevel context. Setting, participants and

DESIGN

The study covers the total Australian continent for the period 1998-2000 and is based on decedents aged 25-64 years (n = 43,257). The socioeconomic characteristics of statistical local areas (SLA, n = 1317) were measured using an index of relative socioeconomic disadvantage, and individual-level SEP was measured by occupation.

RESULTS

Living in a disadvantaged SLA was associated with higher all-cause mortality after adjustment for within-SLA variation in occupation. Death rates were highest for blue-collar workers and lowest among white-collar employees. Cross-level interactions showed no convincing evidence that SLA disadvantage modified the extent of inequality in mortality between the occupation groups.

CONCLUSIONS

Multilevel analysis can be used to examine area variation in mortality using unlinked census and mortality data, therefore making it less necessary to use aggregate-ecological designs. In Australia, area-level and individual-level socioeconomic factors make an independent contribution to the probability of premature mortality. Policies and interventions to improve population health and reduce mortality inequalities should focus on places as well as people.

Area variation in mortality in Tasmania (Australia): the contributions of socioeconomic disadvantage, social capital and geographic remoteness

This study investigated the association between socioeconomic disadvantage, social capital, geographic remoteness and mortality in the Australian state of Tasmania. The analysis is based on death rates among persons aged 25-74 years in 41 statistical local areas (SLA) for the period 1998-2000. Multilevel binomial regression indicated that death rates were significantly higher in disadvantaged areas. There was little support for an association between social capital and mortality, thereby contesting the often held notion that social capital is universally important for explaining variations in population health. Similarly, we found little evidence of a link between geographic remoteness and mortality, which contrasts with that found in other Australian states; this probably reflects the small size of Tasmania, and limited variation in the degree of remoteness amongst its SLA.

Caregivers' inability to identify childhood adiposity: a cross-sectional survey of rural children and their caregivers' attitudes

OBJECTIVES

To determine the prevalence of overweight and obese children in north-western New South Wales and to assess caregivers' ability to detect adiposity in their children.

DESIGN

A cross-sectional survey using a standardised caregiver questionnaire and anthropometric measurements of school children attending 10 primary schools selected by stratified random sampling.

SUBJECTS

A total of 598 eligible school children aged between five and eight years.

MEASUREMENTS

Body mass index for children; caregivers' assessment of their children's dietary intake, physical activity and adiposity by questionnaire.

RESULTS

A total of 348 caregivers responded to the survey, yielding a response rate of 58.2%. Significantly more caregivers of boys (200) than girls (144) chose to participate (chi2 = 8.3, d.f. = 1, P < 0.01). The vast majority of caregivers (87%) consented to their children being measured. Body mass index measurements revealed the following: more than three quarters of boys (82%) and girls (77%) were of normal weight. Of boys and girls 13% were overweight. Twice as many girls (6%) than boys (3%) were obese. In total, 31% of caregivers underestimated the weight of their children. This proportion of caregivers underestimating the correct weight category of their children almost doubled to 56% of caregivers of overweight children. Proportionately more caregivers of overweight boys underestimated their children's weight than caregivers of girls (67% compared with 44%).

CONCLUSION

Health promotional activities need to address, as a matter of priority, caregivers' ability to accurately assess the correct weight category of their children.

Socio-economic mortality differentials in Sydney over a quarter of a century, 1970-94

OBJECTIVE

To examine trends in socio-economic differentials in all-cause mortality in Sydney over a 25-year period (1970-94).

METHODS

Five measures of single indicators (two for occupation, two for education and one for income) and a composite measure of socio-economic disadvantage based on Census data (the Australian Bureau of Statistics' Index of Relative Socio-Economic Disadvantage) were used as indicators of socio-economic status by local govemment area. The relationship between mortality and socio-economic status was examined using quintiles based on these six measures of socio-economic status.

RESULTS

Socio-economic differentials in mortality were evident for males and females for all periods, and over the 25-year period the relative socio-economic differentials did not decline. For males, the socio-economic status differential in mortality widened, irrespective of socio-economic status indicator used, whereas for females it widened only when certain socio-economic indicators were used: occupation (unemployment measure) and income, but was not significant for the other single indicators or for the composite indicator.

CONCLUSIONS

Sydney trends of widening inequalities are generally similar to those reported for Britain and for other industrialised countries, suggesting that this is a common phenomenon and that policies to reduce health inequalities over the past quarter of a century have not been effective.

Increasing inequalities in all-cause and cardiovascular mortality among US adults aged 25-64 years by area socioeconomic status, 1969-1998

BACKGROUND

This study examined the extent to which areal socio-economic gradients in all-cause and cardiovascular disease (CVD) mortality among US men and women aged 25-64 years increased between 1969 and 1998.

METHODS

Using factor analysis 17 census tract variables were used to develop an areal index of socio-economic status that was used to stratify all US counties into five socio-economic categories. By linking the index to county-level mortality data from 1969 to 1998, we calculated annual age-adjusted mortality rates for each area socio-economic group. Poisson regression models were fitted to estimate areal socio-economic gradients in mortality over time.

RESULTS

Areal socio-economic gradients in all-cause and cardiovascular mortality have increased substantially over the past three decades. Compared to men in the highest area socio-economic group, rates of all-cause and CVD mortality among men in the lowest area socio-economic group were 42% and 30% greater in 1969-1970 and 73% and 79% greater in 1997-1998, respectively. The gradients in mortality among women were steeper for CVD than for all causes. Compared to women in the highest area socio-economic group, rates of all-cause and CVD mortality among women in the lowest area socio-economic group were 29% and 49% greater in 1969-1970 and 53% and 94% greater in 1997-1998, respectively.

CONCLUSIONS

Although US all-cause and cardiovascular mortality declined for all area socio-economic groups during 1969-1998, the gradient increased because of significantly larger mortality declines in the higher socio-economic groups. Increasing areal inequalities in mortality shown here may be related to increasing temporal differences in the material and social living conditions between areas.

Into a SEIFA SES cul-de-sac?

Use of the Australian Bureau of Statistics' SEIFA scores has almost become an automatic practice in area-based research on socio-economic status (SES) correlates of health inequalities in Australia in recent years. This article questions the wisdom of this emerging heavy, often singular, reliance on the SEIFA indexes for representing a real socio-economic condition. It is argued that improvements in our understanding of the social and economic processes that produce health inequalities will not occur unless we move beyond SEIFA's broad brush. Data for New England Area Health local government areas are used to support the argument.