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Lookup NU author(s): Professor Matthew Prina
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2019 The Author(s).Background: Our population is ageing and in 2050 more than one out of five people will be 60 years or older; 80% of whom will be living in a low-and-middle income country. Living longer does not entail living healthier; however, there is not a widely accepted measure of healthy ageing hampering policy and research. The World Health Organization defines healthy ageing as the process of developing and maintaining functional ability that will enable well-being in older age. We aimed to create a healthy ageing index (HAI) in a subset of six low-and-middle income countries, part of the 10/66 study, by using items of functional ability and intrinsic capacity. Methods: The study sample included residents 65-years old and over (n = 12,865) from catchment area sites in Cuba, Dominican Republic, Peru, Venezuela, Mexico and Puerto Rico. Items were collected by interviewing participants or key informants between 2003 and 2010. Two-stage factor analysis was employed and we compared one-factor, second-order and bifactor models. The psychometric properties of the index, including reliability, replicability, unidimensionality and concurrent convergent validity as well as measurement invariance per ethnic group and gender were further examined in the best fit model. Results: The bifactor model displayed superior model fit statistics supporting that a general factor underlies the various items but other subdomain factors are also needed. The HAI indicated excellent reliability (ω = 0.96, ω Η = 0.84), replicability (H = 0.96), some support for unidimensionality (Explained Common Variance = 0.65) and some concurrent convergent validity with self-rated health. Scalar measurement invariance per ethnic group and gender was supported. Conclusions: A HAI with excellent psychometric properties was created by using items of functional ability and intrinsic capacity in a subset of six low-and-middle income countries. Further research is needed to explore sub-population differences and to validate this index to other cultural settings.
Author(s): Daskalopoulou C, Chua K-C, Koukounari A, Caballero FF, Prince M, Prina AM
Publication type: Article
Publication status: Published
Journal: BMC Medical Research Methodology
Year: 2019
Volume: 19
Issue: 1
Online publication date: 05/12/2019
Acceptance date: 29/04/2019
Date deposited: 22/08/2023
ISSN (electronic): 1471-2288
Publisher: BioMed Central Ltd.
URL: https://doi.org/10.1186/s12874-019-0849-y
DOI: 10.1186/s12874-019-0849-y
Data Access Statement: The 10/66 Dementia Research Group dataset is available upon request via the official site of the study: https://www.alz.co.uk/1066. All data generated in this study are available from the corresponding author on reasonable request.
PubMed id: 31801473
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