@article{1f92e514f2f44f57b52e265fff445309,
title = "Comparisons of disease cluster patterns, prevalence and health factors in the USA, Canada, England and Ireland",
abstract = "Background: Identification of those who are most at risk of developing specific patterns of disease across different populations is required for directing public health policy. Here, we contrast prevalence and patterns of cross-national disease incidence, co-occurrence and related risk factors across population samples from the U.S., Canada, England and Ireland. Methods: Participants (n = 62,111) were drawn from the US Health and Retirement Study (n = 10,858); the Canadian Longitudinal Study on Ageing (n = 36,647); the English Longitudinal Study of Ageing (n = 7938) and The Irish Longitudinal Study on Ageing (n = 6668). Self-reported lifetime prevalence of 10 medical conditions, predominant clusters of multimorbidity and their specific risk factors were compared across countries using latent class analysis. Results: The U.S. had significantly higher prevalence of multimorbid disease patterns and nearly all diseases when compared to the three other countries, even after adjusting for age, sex, BMI, income, employment status, education, alcohol consumption and smoking history. For the U.S. the most at-risk group were younger on average compared to Canada, England and Ireland. Socioeconomic gradients for specific disease combinations were more pronounced for the U.S., Canada and England than they were for Ireland. The rates of obesity trends over the last 50 years align with the prevalence of eight of the 10 diseases examined. While patterns of disease clusters and the risk factors related to each of the disease clusters were similar, the probabilities of the diseases within each cluster differed across countries. Conclusions: This information can be used to better understand the complex nature of multimorbidity and identify appropriate prevention and management strategies for treating multimorbidity across countries.",
keywords = "Ageing studies, Disease clusters, Latent class analysis, Multimorbidity",
author = "Belinda Hern{\'a}ndez and Stacey Voll and Lewis, {Nathan A.} and Cathal McCrory and Arthur White and Lucy Stirland and Kenny, {Rose Anne} and Richard Reilly and Hutton, {Craig P.} and Griffith, {Lauren E.} and Kirkland, {Susan A.} and Terrera, {Graciela Muniz} and Hofer, {Scott M.}",
note = "Funding Information: This research was made possible using the data/biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation. This research has been conducted using the CLSA dataset, Baseline Tracking Dataset version 3.4 and Baseline Comprehensive Dataset version 4.0, under Application Number 180002S. The CLSA is led by Drs. Parminder Raina, Christina Wolfson, and Susan Kirkland. The opinions expressed in this manuscript are the author{\textquoteright}s own and do not reflect the views of the Canadian Longitudinal Study on Aging. Funding Information: We thank the CLSA, TILDA, HRS and ELSA participants who took the time to provide the data we have used in this research. This research was made possible using the data/biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation. This research has been conducted using the CLSA dataset, Baseline Tracking Dataset version 3.4 and Baseline Comprehensive Dataset version 4.0, under Application Number 180002S. The CLSA is led by Drs. Parminder Raina, Christina Wolfson, and Susan Kirkland. The opinions expressed in this manuscript are the author?s own and do not reflect the views of the Canadian Longitudinal Study on Aging. The HRS 2009 Health and Well-Being Study is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and was conducted by the University of Michigan. This research was funded by the general research activities of the Irish Longitudinal Study on Ageing (TILDA), which is funded by the Irish Department of Health, Atlantic Philanthropies and Irish Life. The English Longitudinal Study of Ageing was developed by a team of researchers based at the University College London, NatCen Social Research, and the Institute for Fiscal Studies. The data were collected by NatCen Social Research. The funding is currently provided by the National Institute of Aging (R01AG017644), and a consortium of UK government departments coordinated by the National Institute for Health Research. Code available on request from the primary author B.H. email: HERNANDB@tcd.ie. Funding Information: Belinda Hern{\'a}ndez, Richard Reilly and Rose Anne Kenny were funded by the Health Research Board [grant number ILP-HSR-2017-021]. Stacey Voll received financial support from the Integrative Analysis of Longitudinal Studies of Aging and Dementia [grant numbers NIH 1P01AG043362 and 1R01AG067621]. Lucy Stirland was funded by the Medical Research Foundation and Medical Research Council through the PsySTAR, Psychiatry: Scottish Training in Academic Research programme [grant number MR/J000914/1]. Cathal McCrory was funded by the Health Research Board of Ireland under an Emerging Investigator Award [grant number EIA-2017-012]. Lauren Griffith was supported by the McLaughlin Foundation Professorship in Population and Public Health. Funding Information: The HRS 2009 Health and Well-Being Study is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and was conducted by the University of Michigan. Funding Information: This research was funded by the general research activities of the Irish Longitudinal Study on Ageing (TILDA), which is funded by the Irish Department of Health, Atlantic Philanthropies and Irish Life. Publisher Copyright: {\textcopyright} 2021, The Author(s).",
year = "2021",
month = dec,
doi = "10.1186/s12889-021-11706-8",
language = "English (US)",
volume = "21",
journal = "BMC public health",
issn = "1471-2458",
publisher = "BioMed Central",
number = "1",
}