ArticleAustralia and New Zealand health policy2004
The socioeconomic gradient and chronic illness and associated risk factors in Australia.
Article in Australia and New Zealand health policy, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.
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Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it.
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- Interventions to improve physical activity among socioeconomically disadvantaged groups: an umbrella review.The international journal of behavioral nutrition and physical activity · 2018Pooled it
- A randomised trial assessing the acceptability and effectiveness of providing generic versus tailored feedback about health risks for a high need primary care sample.BMC family practice · 2015Trial
- Effect of adequate daily water intake versus inadequate water intake on the risk of major chronic diseases in healthy adults: a systematic review protocol.Systematic reviews · 2026Article
- Machine learning based identification of key predictors and socioeconomic inequalities in the co-existence of diabetes and hypertension among Bangladeshi adults.Scientific reports · 2026Article
- Addressing Social and Cultural Determinants of Health for Aboriginal and Torres Strait Islander People in Chronic Disease Programs: A Scoping Review.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025Article
- Understanding economic disparities in elderly health outcomes: a decomposition analysis in Bankura district.BMC public health · 2025Article
- Trends in Socioeconomic Inequalities in the Prevalence of Chronic Non-Communicable Diseases in China: Evidence from Shaanxi Province During 2003-2013.Healthcare (Basel, Switzerland) · 2025Article
- Mediating effect of BMI on the association of economic status and coexistence of hypertension and diabetes in Bangladesh: A counterfactual framework-based weighting approach.Health science reports · 2024Article
- Dynamic Trends in Sociodemographic Disparities and COVID-19 Morbidity and Mortality-A Nationwide Study during Two Years of a Pandemic.Healthcare (Basel, Switzerland) · 2023Article
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- Socioeconomic Inequalities in the Prevalence of Non-Communicable Diseases among Older Adults in India.Geriatrics (Basel, Switzerland) · 2022Article
- QALY losses for chronic diseases and its social distribution in the general population: results from the Belgian Health Interview Survey.BMC public health · 2022Article
- A Community-Based Participatory Action Research with Women from Disadvantaged Populations: Strengths and Weaknesses of a Multiple Health Behaviour Change Intervention.International journal of environmental research and public health · 2022Article
- Dental Caries Prediction Based on a Survey of the Oral Health Epidemiology among the Geriatric Residents of Liaoning, China.BioMed research international · 2020Article
- Socioeconomic inequalities in the prevalence of chronic diseases and preventive care among adults aged 45 and older in Shaanxi Province, China.BMC public health · 2019Article
- Observational
- An intervention strategy for improving residential environment and positive mental health among public housing tenants: rationale, design and methods of Flash on my neighborhood!BMC public health · 2017Article
- Article
- Who consults chiropractors in Victoria, Australia?: Reasons for attending, general health and lifestyle habits of chiropractic patients.Chiropractic & manual therapies · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo examine the prevalence of major chronic diseases and their risk factors in different socioeconomic groups in the Australian population, in order to highlight the need for public policy initiatives to reduce socioeconomic inequalities in health.
methodsData were provided by the Australian Bureau of Statistics (ABS) from the 2001 National Health Survey (NHS) for selected chronic diseases and associated risk factors. Conditions selected were those, which form the National Health Priority Area (NHPA) conditions (other than injury, which has not been included in this paper, with its focus on chronic disease); plus other 'serious' chronic conditions, in line with the classification developed by Mathers; and for which sufficient cases were available for analysis by socioeconomic status. Indirectly age-standardised prevalence rates were calculated by broad age group for Australia and for five groups of socioeconomic status; rate ratios were calculated to show variations in prevalence between these groups.
resultsSignificant socioeconomic inequalities were evident for many of the major chronic diseases; the largest was for diabetes mellitus (at ages 25 to 64 years); and for many diseases, there was also a strong, continuous socioeconomic gradient in the rates.Circulatory system diseases (in particular, hypertensive disease) and digestive system diseases also exhibited a strong differential in the 25 to 64 year age group.In the 65 years and over age group, the strongest inequalities were evident for mental and behavioural problems, diabetes (with a continuous socioeconomic gradient in rates) and respiratory system diseases.A number of risk factors for chronic diseases, namely self-reported smoking, alcohol misuse, physical inactivity and excess weight showed a striking association with socioeconomic status, in particular for people who were smokers and those who did not exercise.
conclusionThis analysis shows that the prevalence of chronic disease varies across the socioeconomic gradient for a number of specific diseases, as well as for important disease risk factors. Therefore, any policy interventions to address the impact of chronic disease, at a population level, need to take into account these socioeconomic inequalities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.