Increased chronic disease prevalence among the younger generation: Findings from a population-based data linkage study to inform chronic disease ascertainment among reproductive-aged Australian women
Chronic disease represents an ongoing public health challenge in Australia with women disproportionately affected and at younger ages compared to men. Accurate prevalence and ascertainment of chronic disease among women of reproductive age at the population level is essential for meeting the family...
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| description | Chronic disease represents an ongoing public health challenge in Australia with women disproportionately affected and at younger ages compared to men. Accurate prevalence and ascertainment of chronic disease among women of reproductive age at the population level is essential for meeting the family planning and reproductive health challenges that chronic diseases pose. This study estimated the prevalence of chronic disease among younger Australian women of reproductive age, in order to ascertain key conditions that would benefit from targeted family planning support strategies.
Population-level survey data from the 1973-78 and 1989-95 cohorts of the Australian Longitudinal Study on Women's Health were linked to health service use, pharmaceutical, cancer and cause of death data to ascertain the prevalence and chronic disease trends for ten chronic health conditions associated with poor maternal and foetal outcomes. Individual chronic disease algorithms were developed for each chronic disease of interest using the available linked datasets. Lifetime prevalence of chronic disease varied substantially based on each individual data source for each of the conditions of interest. When all data sources were considered, all conditions with the exception of mental health conditions were higher among women in the 1973-78 cohort. However, when focused on point prevalence at similar ages (approximately 25-30 years), the chronic disease trend for women in the 1989-95 cohort was substantially higher, particularly for mental health conditions (70.4% vs 23.6%), diabetes (4.5% vs 1.3%) and multimorbidity (17.9% vs 9.1%).
Given the low concordance between individual data sources, the use of multiple data sources are recommended for chronic disease research focused on women of reproductive age. In order to reduce the increasing chronic disease and multimorbidity trend among women, strategic chronic disease interventions are required to be implemented in childhood and adolescence to ensure the long-term health of not only current but also future generations. |
| doi_str_mv | 10.1371/journal.pone.0254668 |
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Population-level survey data from the 1973-78 and 1989-95 cohorts of the Australian Longitudinal Study on Women's Health were linked to health service use, pharmaceutical, cancer and cause of death data to ascertain the prevalence and chronic disease trends for ten chronic health conditions associated with poor maternal and foetal outcomes. Individual chronic disease algorithms were developed for each chronic disease of interest using the available linked datasets. Lifetime prevalence of chronic disease varied substantially based on each individual data source for each of the conditions of interest. When all data sources were considered, all conditions with the exception of mental health conditions were higher among women in the 1973-78 cohort. However, when focused on point prevalence at similar ages (approximately 25-30 years), the chronic disease trend for women in the 1989-95 cohort was substantially higher, particularly for mental health conditions (70.4% vs 23.6%), diabetes (4.5% vs 1.3%) and multimorbidity (17.9% vs 9.1%).
Given the low concordance between individual data sources, the use of multiple data sources are recommended for chronic disease research focused on women of reproductive age. In order to reduce the increasing chronic disease and multimorbidity trend among women, strategic chronic disease interventions are required to be implemented in childhood and adolescence to ensure the long-term health of not only current but also future generations.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0254668</identifier><identifier>PMID: 34407075</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Age ; Algorithms ; Asthma ; Australia - epidemiology ; Biology and Life Sciences ; Children ; Chronic Disease - epidemiology ; Chronic diseases ; Chronic illnesses ; Data collection ; Data sources ; Demographic aspects ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Disease ; Distribution ; Family planning ; Family Planning Services ; Female ; Global health ; Health aspects ; Health care policy ; Health services ; Health surveys ; Humans ; Longitudinal Studies ; Medical research ; Medicare ; Medicine and Health Sciences ; Mental disorders ; Mental Health ; Middle Aged ; Multimorbidity - trends ; Multiple sclerosis ; Pharmaceuticals ; Population ; Population studies ; Population Surveillance ; Population-based studies ; Public health ; Reproduction ; Reproduction - physiology ; Reproductive Health ; Reproductive systems ; Teenage girls ; Womens health</subject><ispartof>PloS one, 2021-08, Vol.16 (8), p.e0254668</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Harris et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Harris et al 2021 Harris et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-2ae9119ced56ae97e7dcff096709179ae3f765c72fbc53a441b09e94dd9c17723</citedby><cites>FETCH-LOGICAL-c692t-2ae9119ced56ae97e7dcff096709179ae3f765c72fbc53a441b09e94dd9c17723</cites><orcidid>0000-0002-5733-9684 ; 0000-0002-0854-7444</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372972/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372972/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34407075$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Orueta, Juan F.</contributor><creatorcontrib>Harris, Melissa L</creatorcontrib><creatorcontrib>Egan, Nicholas</creatorcontrib><creatorcontrib>Forder, Peta M</creatorcontrib><creatorcontrib>Loxton, Deborah</creatorcontrib><title>Increased chronic disease prevalence among the younger generation: Findings from a population-based data linkage study to inform chronic disease ascertainment among reproductive-aged Australian women</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Chronic disease represents an ongoing public health challenge in Australia with women disproportionately affected and at younger ages compared to men. Accurate prevalence and ascertainment of chronic disease among women of reproductive age at the population level is essential for meeting the family planning and reproductive health challenges that chronic diseases pose. This study estimated the prevalence of chronic disease among younger Australian women of reproductive age, in order to ascertain key conditions that would benefit from targeted family planning support strategies.
Population-level survey data from the 1973-78 and 1989-95 cohorts of the Australian Longitudinal Study on Women's Health were linked to health service use, pharmaceutical, cancer and cause of death data to ascertain the prevalence and chronic disease trends for ten chronic health conditions associated with poor maternal and foetal outcomes. Individual chronic disease algorithms were developed for each chronic disease of interest using the available linked datasets. Lifetime prevalence of chronic disease varied substantially based on each individual data source for each of the conditions of interest. When all data sources were considered, all conditions with the exception of mental health conditions were higher among women in the 1973-78 cohort. However, when focused on point prevalence at similar ages (approximately 25-30 years), the chronic disease trend for women in the 1989-95 cohort was substantially higher, particularly for mental health conditions (70.4% vs 23.6%), diabetes (4.5% vs 1.3%) and multimorbidity (17.9% vs 9.1%).
Given the low concordance between individual data sources, the use of multiple data sources are recommended for chronic disease research focused on women of reproductive age. In order to reduce the increasing chronic disease and multimorbidity trend among women, strategic chronic disease interventions are required to be implemented in childhood and adolescence to ensure the long-term health of not only current but also future generations.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Algorithms</subject><subject>Asthma</subject><subject>Australia - epidemiology</subject><subject>Biology and Life Sciences</subject><subject>Children</subject><subject>Chronic Disease - epidemiology</subject><subject>Chronic diseases</subject><subject>Chronic illnesses</subject><subject>Data collection</subject><subject>Data sources</subject><subject>Demographic aspects</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Disease</subject><subject>Distribution</subject><subject>Family planning</subject><subject>Family Planning Services</subject><subject>Female</subject><subject>Global health</subject><subject>Health aspects</subject><subject>Health care policy</subject><subject>Health services</subject><subject>Health surveys</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Medical research</subject><subject>Medicare</subject><subject>Medicine and Health Sciences</subject><subject>Mental disorders</subject><subject>Mental Health</subject><subject>Middle Aged</subject><subject>Multimorbidity - 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Accurate prevalence and ascertainment of chronic disease among women of reproductive age at the population level is essential for meeting the family planning and reproductive health challenges that chronic diseases pose. This study estimated the prevalence of chronic disease among younger Australian women of reproductive age, in order to ascertain key conditions that would benefit from targeted family planning support strategies.
Population-level survey data from the 1973-78 and 1989-95 cohorts of the Australian Longitudinal Study on Women's Health were linked to health service use, pharmaceutical, cancer and cause of death data to ascertain the prevalence and chronic disease trends for ten chronic health conditions associated with poor maternal and foetal outcomes. Individual chronic disease algorithms were developed for each chronic disease of interest using the available linked datasets. Lifetime prevalence of chronic disease varied substantially based on each individual data source for each of the conditions of interest. When all data sources were considered, all conditions with the exception of mental health conditions were higher among women in the 1973-78 cohort. However, when focused on point prevalence at similar ages (approximately 25-30 years), the chronic disease trend for women in the 1989-95 cohort was substantially higher, particularly for mental health conditions (70.4% vs 23.6%), diabetes (4.5% vs 1.3%) and multimorbidity (17.9% vs 9.1%).
Given the low concordance between individual data sources, the use of multiple data sources are recommended for chronic disease research focused on women of reproductive age. In order to reduce the increasing chronic disease and multimorbidity trend among women, strategic chronic disease interventions are required to be implemented in childhood and adolescence to ensure the long-term health of not only current but also future generations.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34407075</pmid><doi>10.1371/journal.pone.0254668</doi><tpages>e0254668</tpages><orcidid>https://orcid.org/0000-0002-5733-9684</orcidid><orcidid>https://orcid.org/0000-0002-0854-7444</orcidid><oa>free_for_read</oa></addata></record> |
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| issn | 1932-6203 1932-6203 |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adolescent Adult Age Algorithms Asthma Australia - epidemiology Biology and Life Sciences Children Chronic Disease - epidemiology Chronic diseases Chronic illnesses Data collection Data sources Demographic aspects Diabetes Diabetes mellitus Diabetes Mellitus - epidemiology Disease Distribution Family planning Family Planning Services Female Global health Health aspects Health care policy Health services Health surveys Humans Longitudinal Studies Medical research Medicare Medicine and Health Sciences Mental disorders Mental Health Middle Aged Multimorbidity - trends Multiple sclerosis Pharmaceuticals Population Population studies Population Surveillance Population-based studies Public health Reproduction Reproduction - physiology Reproductive Health Reproductive systems Teenage girls Womens health |
| title | Increased chronic disease prevalence among the younger generation: Findings from a population-based data linkage study to inform chronic disease ascertainment among reproductive-aged Australian women |
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