The burden and trend of diseases and their risk factors in Australia, 1990–2019 : a systematic analysis for the Global Burden of Disease Study 2019
- Islam, Sheikh, Maddison, Ralph, Uddin, Riaz, Ball, Kylie, Livingstone, Katherine, Khan, Asaduzzaman, Salmon, Jo, Ackerman, Ilana, Adair, Tim, Adegboye, Oyelola, Ademi, Zanfina, Adhikary, Ripon, Ahinkorah, Bright, Alam, Khurshid, Alene, Kefaylew, Alif, Sheikh, Amare, Azmeraw, Ameyaw, Edward, Aminde, Leopold, Anderlini, Deanna, Angell, Blake, Ansar, Adnan, Antony, Benny, Anyasodor, Anayochukwu, Arnet, Victoria, Astell-Burt, Thomas, Atorkey, Prince, Awoke, Mamaru, Quintanilla, Beatriz, Rahman, Muhammad Aziz
- Authors: Islam, Sheikh , Maddison, Ralph , Uddin, Riaz , Ball, Kylie , Livingstone, Katherine , Khan, Asaduzzaman , Salmon, Jo , Ackerman, Ilana , Adair, Tim , Adegboye, Oyelola , Ademi, Zanfina , Adhikary, Ripon , Ahinkorah, Bright , Alam, Khurshid , Alene, Kefaylew , Alif, Sheikh , Amare, Azmeraw , Ameyaw, Edward , Aminde, Leopold , Anderlini, Deanna , Angell, Blake , Ansar, Adnan , Antony, Benny , Anyasodor, Anayochukwu , Arnet, Victoria , Astell-Burt, Thomas , Atorkey, Prince , Awoke, Mamaru , Quintanilla, Beatriz , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: The Lancet Public Health Vol. 8, no. 8 (2023), p. e585-e599
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- Description: Background: A comprehensive understanding of temporal trends in the disease burden in Australia is lacking, and these trends are required to inform health service planning and improve population health. We explored the burden and trends of diseases and their risk factors in Australia from 1990 to 2019 through a comprehensive analysis of the Global Burden of Disease Study (GBD) 2019. Methods: In this systematic analysis for GBD 2019, we estimated all-cause mortality using the standardised GBD methodology. Data sources included primarily vital registration systems with additional data from sample registrations, censuses, surveys, surveillance, registries, and verbal autopsies. A composite measure of health loss caused by fatal and non-fatal disease burden (disability-adjusted life-years [DALYs]) was calculated as the sum of years of life lost (YLLs) and years of life lived with disability (YLDs). Comparisons between Australia and 14 other high-income countries were made. Findings: Life expectancy at birth in Australia improved from 77·0 years (95% uncertainty interval [UI] 76·9–77·1) in 1990 to 82·9 years (82·7–83·1) in 2019. Between 1990 and 2019, the age-standardised death rate decreased from 637·7 deaths (95% UI 634·1–641·3) to 389·2 deaths (381·4–397·6) per 100 000 population. In 2019, non-communicable diseases remained the major cause of mortality in Australia, accounting for 90·9% (95% UI 90·4–91·9) of total deaths, followed by injuries (5·7%, 5·3–6·1) and communicable, maternal, neonatal, and nutritional diseases (3·3%, 2·9–3·7). Ischaemic heart disease, self-harm, tracheal, bronchus, and lung cancer, stroke, and colorectal cancer were the leading causes of YLLs. The leading causes of YLDs were low back pain, depressive disorders, other musculoskeletal diseases, falls, and anxiety disorders. The leading risk factors for DALYs were high BMI, smoking, high blood pressure, high fasting plasma glucose, and drug use. Between 1990 and 2019, all-cause DALYs decreased by 24·6% (95% UI 21·5–28·1). Relative to similar countries, Australia's ranking improved for age-standardised death rates and life expectancy at birth but not for YLDs and YLLs between 1990 and 2019. Interpretation: An important challenge for Australia is to address the health needs of people with non-communicable diseases. The health systems must be prepared to address the increasing demands of non-communicable diseases and ageing. Funding: Bill & Melinda Gates Foundation. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Islam, Sheikh , Maddison, Ralph , Uddin, Riaz , Ball, Kylie , Livingstone, Katherine , Khan, Asaduzzaman , Salmon, Jo , Ackerman, Ilana , Adair, Tim , Adegboye, Oyelola , Ademi, Zanfina , Adhikary, Ripon , Ahinkorah, Bright , Alam, Khurshid , Alene, Kefaylew , Alif, Sheikh , Amare, Azmeraw , Ameyaw, Edward , Aminde, Leopold , Anderlini, Deanna , Angell, Blake , Ansar, Adnan , Antony, Benny , Anyasodor, Anayochukwu , Arnet, Victoria , Astell-Burt, Thomas , Atorkey, Prince , Awoke, Mamaru , Quintanilla, Beatriz , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: The Lancet Public Health Vol. 8, no. 8 (2023), p. e585-e599
- Full Text:
- Reviewed:
- Description: Background: A comprehensive understanding of temporal trends in the disease burden in Australia is lacking, and these trends are required to inform health service planning and improve population health. We explored the burden and trends of diseases and their risk factors in Australia from 1990 to 2019 through a comprehensive analysis of the Global Burden of Disease Study (GBD) 2019. Methods: In this systematic analysis for GBD 2019, we estimated all-cause mortality using the standardised GBD methodology. Data sources included primarily vital registration systems with additional data from sample registrations, censuses, surveys, surveillance, registries, and verbal autopsies. A composite measure of health loss caused by fatal and non-fatal disease burden (disability-adjusted life-years [DALYs]) was calculated as the sum of years of life lost (YLLs) and years of life lived with disability (YLDs). Comparisons between Australia and 14 other high-income countries were made. Findings: Life expectancy at birth in Australia improved from 77·0 years (95% uncertainty interval [UI] 76·9–77·1) in 1990 to 82·9 years (82·7–83·1) in 2019. Between 1990 and 2019, the age-standardised death rate decreased from 637·7 deaths (95% UI 634·1–641·3) to 389·2 deaths (381·4–397·6) per 100 000 population. In 2019, non-communicable diseases remained the major cause of mortality in Australia, accounting for 90·9% (95% UI 90·4–91·9) of total deaths, followed by injuries (5·7%, 5·3–6·1) and communicable, maternal, neonatal, and nutritional diseases (3·3%, 2·9–3·7). Ischaemic heart disease, self-harm, tracheal, bronchus, and lung cancer, stroke, and colorectal cancer were the leading causes of YLLs. The leading causes of YLDs were low back pain, depressive disorders, other musculoskeletal diseases, falls, and anxiety disorders. The leading risk factors for DALYs were high BMI, smoking, high blood pressure, high fasting plasma glucose, and drug use. Between 1990 and 2019, all-cause DALYs decreased by 24·6% (95% UI 21·5–28·1). Relative to similar countries, Australia's ranking improved for age-standardised death rates and life expectancy at birth but not for YLDs and YLLs between 1990 and 2019. Interpretation: An important challenge for Australia is to address the health needs of people with non-communicable diseases. The health systems must be prepared to address the increasing demands of non-communicable diseases and ageing. Funding: Bill & Melinda Gates Foundation. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Adair, Tim, Lourey, Emma, Taylor, Philip
- Authors: Adair, Tim , Lourey, Emma , Taylor, Philip
- Date: 2016
- Type: Text , Journal article
- Relation: Australasian Journal on Ageing Vol. 35, no. 1 (2016), p. 36-41
- Full Text: false
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- Description: Aim To explore the prevalence of unmet demand for training by mature age Australians and to identify the main barriers to accessing training. Methods A total of 3007 Australians aged 45-74 years were surveyed using Computer Assisted Telephone Interviewing. The sample frame was randomly selected and stratified based on the capital city and the rest of the state, and data were weighted to be nationally representative. Results Over one-third (37%) of respondents who had worked in the past five years reported wanting to attend some form of training but were unable to; these were most likely women and those aged 45-54 year. Commonly cited reasons for not being able to attend training included not being able to fit it in with work commitments, affordability and employer reluctance. Conclusion Reduction of these barriers to workplace training can improve mature age people's ability to remain engaged in the workforce.
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