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Inequalities in disability-free and disabling multimorbid life expectancy in Costa Rica, Mexico, and the United States
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dc.contributor.author | Lam, Anastasia | |
dc.contributor.author | Keenan, Katherine | |
dc.contributor.author | Cezard, Genevieve | |
dc.contributor.author | Kulu, Hill | |
dc.contributor.author | Myrskylä, Mikko | |
dc.date.accessioned | 2025-02-18T13:30:23Z | |
dc.date.available | 2025-02-18T13:30:23Z | |
dc.date.issued | 2024-08-01 | |
dc.identifier | 304050406 | |
dc.identifier | 5d78180e-4bcd-462a-9bc8-ca879c1eeade | |
dc.identifier | 85197994810 | |
dc.identifier.citation | Lam , A , Keenan , K , Cezard , G , Kulu , H & Myrskylä , M 2024 , ' Inequalities in disability-free and disabling multimorbid life expectancy in Costa Rica, Mexico, and the United States ' , Journals of Gerontology Series B: Psychological Sciences and Social Sciences , vol. 79 , no. 8 , gbae093 . https://doi.org/10.1093/geronb/gbae093 | en |
dc.identifier.issn | 1079-5014 | |
dc.identifier.other | ORCID: /0000-0001-8808-0719/work/162630021 | |
dc.identifier.other | ORCID: /0000-0003-3901-8796/work/162630197 | |
dc.identifier.other | ORCID: /0000-0002-9670-1607/work/162630424 | |
dc.identifier.uri | https://hdl.handle.net/10023/31427 | |
dc.description | Funding: This work was supported by a St Andrews-Max Planck PhD Studentship in Population Health (to A. Lam); the Academy of Medical Sciences, the Wellcome Trust, the Government Department of Business, Energy, and Industrial Strategy, the British Heart Foundation Diabetes UK, and the Global Challenges Research Fund (SBF004\1093 to K. Keenan); and the Economic and Social Research Council Centre for Population Change and the Economic and Social Research Council Connecting Generations Centre (ES/K007394/1 and ES/W002116/1 to H. Kulu). The original CRELES pre-1945 cohort was funded by the Wellcome Trust (072406), and the CRELES 1945–1955 Retirement Cohort was funded by the U.S. National Institute on Aging (R01AG031716). The development of the Harmonized MHAS was funded by the National Institute on Ageing (R01 AG030153). The MHAS is partly sponsored by the National Institutes of Health/National Institute on Aging (NIH R01AG018016) in the United States and the Instituto Nacional de Estadística y Geografía in Mexico. The Health and Retirement Study is sponsored by the National Institute on Aging (NIA U01AG009740) and is conducted by the University of Michigan. The RAND HRS Longitudinal File was developed at RAND with funding from the National Institute on Aging and the Social Security Administration. | en |
dc.description.abstract | Objectives To better understand variations in multimorbidity severity over time, we estimate disability-free and disabling multimorbid life expectancy (MMLE), comparing Costa Rica, Mexico, and the United States (US). We also assess MMLE inequalities by sex and education. Methods Data come from the Costa Rican Study on Longevity and Healthy Aging (2005–2009), the Mexican Health and Aging Study (2012–2018), and the Health and Retirement Study (2004–2018). We apply an incidence-based multistate Markov approach to estimate disability-free and disabling MMLE and stratify models by sex and education to study within-country heterogeneity. Multimorbidity is defined as a count of 2 or more chronic diseases. Disability is defined using limitations in activities of daily living. Results Costa Ricans have the lowest MMLE, followed by Mexicans, then individuals from the US. Individuals from the US spend about twice as long with disability-free multimorbidity compared with individuals from Costa Rica or Mexico. Females generally have longer MMLE than males, with particularly stark differences in disabling MMLE. In the US, higher education was associated with longer disability-free MMLE and shorter disabling MMLE. We identified evidence for cumulative disadvantage in Mexico and the US, where sex differences in MMLE were larger among the lower educated. Discussion Substantial sex and educational inequalities in MMLE exist within and between these countries. Estimating disability-free and disabling MMLE reveals another layer of health inequality not captured when examining disability and multimorbidity separately. MMLE is a flexible population health measure that can be used to better understand the aging process across contexts. | |
dc.format.extent | 13 | |
dc.format.extent | 1337195 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journals of Gerontology Series B: Psychological Sciences and Social Sciences | en |
dc.rights | © The Author(s) 2024. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | en |
dc.subject | Aging | en |
dc.subject | Cumulative disadvantage | en |
dc.subject | Disability | en |
dc.subject | Multimorbidity | en |
dc.subject | Multistate modeling | en |
dc.subject | 3rd-DAS | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject | MCC | en |
dc.title | Inequalities in disability-free and disabling multimorbid life expectancy in Costa Rica, Mexico, and the United States | en |
dc.type | Journal article | en |
dc.contributor.sponsor | Academy of Medical Sciences | en |
dc.contributor.sponsor | Economic & Social Research Council | en |
dc.contributor.sponsor | Economic & Social Research Council | en |
dc.contributor.institution | University of St Andrews.Population and Health Research | en |
dc.contributor.institution | University of St Andrews.School of Geography & Sustainable Development | en |
dc.contributor.institution | University of St Andrews.Geographies of Sustainability, Society, Inequalities and Possibilities | en |
dc.contributor.institution | University of St Andrews.Sir James Mackenzie Institute for Early Diagnosis | en |
dc.identifier.doi | 10.1093/geronb/gbae093 | |
dc.description.status | Peer reviewed | en |
dc.identifier.grantnumber | SBF004\1093 | en |
dc.identifier.grantnumber | ES/K007394/1 | en |
dc.identifier.grantnumber | ES/V014188/1 | en |
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