Joanna Y Gong, Emily D Williams, Agus Salim, Spiros Fourlanos, Jonathan E Shaw, Dianna J Magliano
{"title":"《2021年澳大利亚社会经济地位和十种慢性病的流行情况:整体人口普查数据分析》。","authors":"Joanna Y Gong, Emily D Williams, Agus Salim, Spiros Fourlanos, Jonathan E Shaw, Dianna J Magliano","doi":"10.5694/mja2.70032","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To investigate differences in the prevalence of specific chronic diseases in Australia by selected measures of socio-economic position, and by age group and sex, using representative national census population data.</p><p><strong>Study design: </strong>Cross-sectional, whole of population study; analysis of 2021 Australian census data.</p><p><strong>Participants, setting: </strong>People aged 40 years or older for whom 2021 Australian census health status and socio-economic position-related data were available.</p><p><strong>Main outcome measures: </strong>Age-standardised prevalence of ten chronic diseases (arthritis, asthma, cancer, dementia, diabetes, heart disease, kidney disease, lung disease, mental health conditions, and stroke), by socio-economic position (Index of Relative Socio-economic Disadvantage [IRSD], income category, educational level, occupational grade), age group, and sex; mean change in prevalence across socio-economic position categories.</p><p><strong>Results: </strong>Health status responses and data that allowed IRSD categorisation were available for 11.3 million people aged 40 years or older (92% of all adults aged 40 years or older). The proportions of people who reported nine chronic diseases (exception: cancer) increased with increasing socio-economic disadvantage as measured by IRSD decile and income. The increases were less marked for people aged 80 years or older than for those aged 40-79 years, and more marked for women than men. For people aged 40-59 or 60-79 years, the increase in age-standardised chronic disease prevalence per one decile decrease in IRSD was greatest for lung disease in both women (40-59 years, 18.4% per decile; 60-79 years, 10.6% per decile) and men (40-59 years, 16.9% per decile; 60-79 years, 11.0% per decile). In people aged 80 years or older, the increase in prevalence per one decile decrease in IRSD was greatest for kidney disease in women (6.0% per decile) and for mental health conditions in men (7.1% per decile). The age-standardised prevalence of cancer decreased by 0.4-1.1% per one decile decrease in IRSD for all age groups and both sexes, except for men aged 40-59 years (increased by 0.1% per IRSD decile). Consistent relationships with educational level or occupational grade were not found.</p><p><strong>Conclusions: </strong>The prevalence of chronic disease differs by socio-economic position, but the direction, magnitude, and consistency of the effect differs by disease, socio-economic position measure, age, and sex. Understanding the relationship between different socio-economic position measures and chronic diseases facilitates the formulation of directed interventions.</p>","PeriodicalId":18214,"journal":{"name":"Medical Journal of Australia","volume":" ","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Socio-economic position and the prevalence of ten chronic diseases in Australia, 2021: a whole of population census data analysis.\",\"authors\":\"Joanna Y Gong, Emily D Williams, Agus Salim, Spiros Fourlanos, Jonathan E Shaw, Dianna J Magliano\",\"doi\":\"10.5694/mja2.70032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To investigate differences in the prevalence of specific chronic diseases in Australia by selected measures of socio-economic position, and by age group and sex, using representative national census population data.</p><p><strong>Study design: </strong>Cross-sectional, whole of population study; analysis of 2021 Australian census data.</p><p><strong>Participants, setting: </strong>People aged 40 years or older for whom 2021 Australian census health status and socio-economic position-related data were available.</p><p><strong>Main outcome measures: </strong>Age-standardised prevalence of ten chronic diseases (arthritis, asthma, cancer, dementia, diabetes, heart disease, kidney disease, lung disease, mental health conditions, and stroke), by socio-economic position (Index of Relative Socio-economic Disadvantage [IRSD], income category, educational level, occupational grade), age group, and sex; mean change in prevalence across socio-economic position categories.</p><p><strong>Results: </strong>Health status responses and data that allowed IRSD categorisation were available for 11.3 million people aged 40 years or older (92% of all adults aged 40 years or older). The proportions of people who reported nine chronic diseases (exception: cancer) increased with increasing socio-economic disadvantage as measured by IRSD decile and income. The increases were less marked for people aged 80 years or older than for those aged 40-79 years, and more marked for women than men. For people aged 40-59 or 60-79 years, the increase in age-standardised chronic disease prevalence per one decile decrease in IRSD was greatest for lung disease in both women (40-59 years, 18.4% per decile; 60-79 years, 10.6% per decile) and men (40-59 years, 16.9% per decile; 60-79 years, 11.0% per decile). In people aged 80 years or older, the increase in prevalence per one decile decrease in IRSD was greatest for kidney disease in women (6.0% per decile) and for mental health conditions in men (7.1% per decile). The age-standardised prevalence of cancer decreased by 0.4-1.1% per one decile decrease in IRSD for all age groups and both sexes, except for men aged 40-59 years (increased by 0.1% per IRSD decile). Consistent relationships with educational level or occupational grade were not found.</p><p><strong>Conclusions: </strong>The prevalence of chronic disease differs by socio-economic position, but the direction, magnitude, and consistency of the effect differs by disease, socio-economic position measure, age, and sex. Understanding the relationship between different socio-economic position measures and chronic diseases facilitates the formulation of directed interventions.</p>\",\"PeriodicalId\":18214,\"journal\":{\"name\":\"Medical Journal of Australia\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":8.5000,\"publicationDate\":\"2025-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medical Journal of Australia\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5694/mja2.70032\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Journal of Australia","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5694/mja2.70032","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Socio-economic position and the prevalence of ten chronic diseases in Australia, 2021: a whole of population census data analysis.
Objectives: To investigate differences in the prevalence of specific chronic diseases in Australia by selected measures of socio-economic position, and by age group and sex, using representative national census population data.
Study design: Cross-sectional, whole of population study; analysis of 2021 Australian census data.
Participants, setting: People aged 40 years or older for whom 2021 Australian census health status and socio-economic position-related data were available.
Main outcome measures: Age-standardised prevalence of ten chronic diseases (arthritis, asthma, cancer, dementia, diabetes, heart disease, kidney disease, lung disease, mental health conditions, and stroke), by socio-economic position (Index of Relative Socio-economic Disadvantage [IRSD], income category, educational level, occupational grade), age group, and sex; mean change in prevalence across socio-economic position categories.
Results: Health status responses and data that allowed IRSD categorisation were available for 11.3 million people aged 40 years or older (92% of all adults aged 40 years or older). The proportions of people who reported nine chronic diseases (exception: cancer) increased with increasing socio-economic disadvantage as measured by IRSD decile and income. The increases were less marked for people aged 80 years or older than for those aged 40-79 years, and more marked for women than men. For people aged 40-59 or 60-79 years, the increase in age-standardised chronic disease prevalence per one decile decrease in IRSD was greatest for lung disease in both women (40-59 years, 18.4% per decile; 60-79 years, 10.6% per decile) and men (40-59 years, 16.9% per decile; 60-79 years, 11.0% per decile). In people aged 80 years or older, the increase in prevalence per one decile decrease in IRSD was greatest for kidney disease in women (6.0% per decile) and for mental health conditions in men (7.1% per decile). The age-standardised prevalence of cancer decreased by 0.4-1.1% per one decile decrease in IRSD for all age groups and both sexes, except for men aged 40-59 years (increased by 0.1% per IRSD decile). Consistent relationships with educational level or occupational grade were not found.
Conclusions: The prevalence of chronic disease differs by socio-economic position, but the direction, magnitude, and consistency of the effect differs by disease, socio-economic position measure, age, and sex. Understanding the relationship between different socio-economic position measures and chronic diseases facilitates the formulation of directed interventions.
期刊介绍:
The Medical Journal of Australia (MJA) stands as Australia's foremost general medical journal, leading the dissemination of high-quality research and commentary to shape health policy and influence medical practices within the country. Under the leadership of Professor Virginia Barbour, the expert editorial team at MJA is dedicated to providing authors with a constructive and collaborative peer-review and publication process. Established in 1914, the MJA has evolved into a modern journal that upholds its founding values, maintaining a commitment to supporting the medical profession by delivering high-quality and pertinent information essential to medical practice.