Affiliation:
1. Max Planck Institute for Demographic Research , Rostock , Germany
2. School of Geography and Sustainable Development, University of St Andrews , St Andrews , UK
3. Department of Public Health and Primary Care, University of Cambridge , Cambridge , UK
4. Center for Social Data Science and Population Research Unit, University of Helsinki , Helsinki , Finland
Abstract
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.
Funder
St Andrews-Max Planck PhD Studentship in Population Health
Academy of Medical Sciences, the Wellcome Trust
Government Department of Business, Energy, and Industrial Strategy
British Heart Foundation Diabetes UK
Economic and Social Research Council Centre for Population Change and the Economic and Social Research Council Connecting Generations Centre
Wellcome Trust
National Institute on Aging
National Institutes of Health
Instituto Nacional de Estadística y Geografía
Publisher
Oxford University Press (OUP)