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Epidemiological transition: a historical analysis of immigration patterns by country of origin (1861–1986) related to circulatory system diseases and all-cause mortality in twentieth-century Australia
BACKGROUND AND OBJECTIVES: Circulatory system disease (CSD) patterns vary over time and between countries, related to lifestyle risk factors, associated in turn with socioeconomic circumstances. Current global CSD epidemics in developing economies are similar in scale to those observed previously in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679994/ https://www.ncbi.nlm.nih.gov/pubmed/38000816 http://dx.doi.org/10.1136/bmjopen-2022-070996 |
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author | Kelleher, Cecily C Kelly, Gabrielle E Segurado, Ricardo Briody, Jonathan Sellers, Alexander M McCalman, Janet |
author_facet | Kelleher, Cecily C Kelly, Gabrielle E Segurado, Ricardo Briody, Jonathan Sellers, Alexander M McCalman, Janet |
author_sort | Kelleher, Cecily C |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: Circulatory system disease (CSD) patterns vary over time and between countries, related to lifestyle risk factors, associated in turn with socioeconomic circumstances. Current global CSD epidemics in developing economies are similar in scale to those observed previously in the USA and Australasia. Australia exhibits an important macroeconomic phenomenon as a rapidly transitioning economy with high immigration throughout the nineteenth and twentieth centuries. We wished to examine how that historical immigration related to CSD patterns subsequently. METHODS AND SETTING: We provide a novel empirical analysis employing census-derived place of birth by age bracket and sex from 1891 to 1986, in order to map patterns of immigration against CSD mortality rates from 1907 onwards. Age-specific generalised additive models for both CSD mortality in the general population, and all-cause mortality for the foreign-born (FB) only, from 1910 to 1980 were also devised for both males and females. RESULTS: The percentage of FB fell from 32% in 1891 to 9.8% in 1947. Rates of CSD rose consistently, particularly from the 1940s onwards, peaked in the 1960s, then declined sharply in the 1980s and showed a strong period effect across age groups and genders. The main effects of age and census year and their interaction were highly statistically significant for CSD mortality for males (p<0.001, each term) and for females (p<0.001, each term). The main effect of age and year were statistically significant for all-cause mortality minus net migration rates for the FB females (each p<0.001), and for FB males, age (p<0.001) was significant. CONCLUSIONS: We argue our empirical calculations, supported by historical and socioepidemiological evidence, employing immigration patterns as a proxy for epidemiological transition, affirm the life course hypothesis that both early life circumstances and later life lifestyle drive CSD patterns. |
format | Online Article Text |
id | pubmed-10679994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-106799942023-11-24 Epidemiological transition: a historical analysis of immigration patterns by country of origin (1861–1986) related to circulatory system diseases and all-cause mortality in twentieth-century Australia Kelleher, Cecily C Kelly, Gabrielle E Segurado, Ricardo Briody, Jonathan Sellers, Alexander M McCalman, Janet BMJ Open Epidemiology BACKGROUND AND OBJECTIVES: Circulatory system disease (CSD) patterns vary over time and between countries, related to lifestyle risk factors, associated in turn with socioeconomic circumstances. Current global CSD epidemics in developing economies are similar in scale to those observed previously in the USA and Australasia. Australia exhibits an important macroeconomic phenomenon as a rapidly transitioning economy with high immigration throughout the nineteenth and twentieth centuries. We wished to examine how that historical immigration related to CSD patterns subsequently. METHODS AND SETTING: We provide a novel empirical analysis employing census-derived place of birth by age bracket and sex from 1891 to 1986, in order to map patterns of immigration against CSD mortality rates from 1907 onwards. Age-specific generalised additive models for both CSD mortality in the general population, and all-cause mortality for the foreign-born (FB) only, from 1910 to 1980 were also devised for both males and females. RESULTS: The percentage of FB fell from 32% in 1891 to 9.8% in 1947. Rates of CSD rose consistently, particularly from the 1940s onwards, peaked in the 1960s, then declined sharply in the 1980s and showed a strong period effect across age groups and genders. The main effects of age and census year and their interaction were highly statistically significant for CSD mortality for males (p<0.001, each term) and for females (p<0.001, each term). The main effect of age and year were statistically significant for all-cause mortality minus net migration rates for the FB females (each p<0.001), and for FB males, age (p<0.001) was significant. CONCLUSIONS: We argue our empirical calculations, supported by historical and socioepidemiological evidence, employing immigration patterns as a proxy for epidemiological transition, affirm the life course hypothesis that both early life circumstances and later life lifestyle drive CSD patterns. BMJ Publishing Group 2023-11-24 /pmc/articles/PMC10679994/ /pubmed/38000816 http://dx.doi.org/10.1136/bmjopen-2022-070996 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Kelleher, Cecily C Kelly, Gabrielle E Segurado, Ricardo Briody, Jonathan Sellers, Alexander M McCalman, Janet Epidemiological transition: a historical analysis of immigration patterns by country of origin (1861–1986) related to circulatory system diseases and all-cause mortality in twentieth-century Australia |
title | Epidemiological transition: a historical analysis of immigration patterns by country of origin (1861–1986) related to circulatory system diseases and all-cause mortality in twentieth-century Australia |
title_full | Epidemiological transition: a historical analysis of immigration patterns by country of origin (1861–1986) related to circulatory system diseases and all-cause mortality in twentieth-century Australia |
title_fullStr | Epidemiological transition: a historical analysis of immigration patterns by country of origin (1861–1986) related to circulatory system diseases and all-cause mortality in twentieth-century Australia |
title_full_unstemmed | Epidemiological transition: a historical analysis of immigration patterns by country of origin (1861–1986) related to circulatory system diseases and all-cause mortality in twentieth-century Australia |
title_short | Epidemiological transition: a historical analysis of immigration patterns by country of origin (1861–1986) related to circulatory system diseases and all-cause mortality in twentieth-century Australia |
title_sort | epidemiological transition: a historical analysis of immigration patterns by country of origin (1861–1986) related to circulatory system diseases and all-cause mortality in twentieth-century australia |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679994/ https://www.ncbi.nlm.nih.gov/pubmed/38000816 http://dx.doi.org/10.1136/bmjopen-2022-070996 |
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