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Published in: BMC Medical Research Methodology 1/2019

Open Access 01-12-2019 | Research article

Healthy ageing and the prediction of mortality and incidence dependence in low- and middle- income countries: a 10/66 population-based cohort study

Authors: Christina Daskalopoulou, Martin Prince, Artemis Koukounari, Josep Maria Haro, Demosthenes B. Panagiotakos, A. Matthew Prina

Published in: BMC Medical Research Methodology | Issue 1/2019

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Abstract

Background

In the absence of a consensus on definition and measurement of healthy ageing, we created a healthy ageing index tallying with the functional ability framework provided by the World Health Organization. To create this index, we employed items of functional ability and intrinsic capacity. The current study aims to establish the predictive validity and discrimination properties of this healthy ageing index in settings in Latin American, part of the 10/66 cohort.

Methods

Population-based cohort studies including 12,865 people ≥65 years old in catchment areas of Cuba, Dominican Republic, Venezuela, Mexico and Peru. We employed latent variable modelling to estimate the healthy ageing scores of each participant. We grouped participants according to the quintiles of the healthy ageing score distribution. Cox’s proportional hazard models for mortality and sub-hazard (competing risks) models for incident dependence (i.e. needing care) were calculated per area after a median of 3.9 years and 3.7 years, respectively. Results were pooled together via fixed-effects meta-analysis. Our findings were compared with those obtained from self-rated health.

Results

Participants with lowest levels, compared to participants with highest level of healthy ageing, had increased risk of mortality and incident dependence, even after adjusting for sociodemographic and health conditions (HR: 3.25, 95%CI: 2.63–4.02; sub-HR: 5.21, 95%CI: 4.02–6.75). Healthy ageing scores compared to self-rated health had higher population attributable fractions (PAFs) for mortality (43.6% vs 19.3%) and incident dependence (58.6% vs 17.0%), and better discriminative power (Harrell’s c-statistic: mortality 0.74 vs 0.72; incident dependence 0.76 vs 0.70).

Conclusion

These results provide evidence that our healthy ageing index could be a valuable tool for prevention strategies as it demonstrated predictive and discriminative properties. Further research in other cultural settings will assist moving from a theoretical conceptualisation of healthy ageing to a more practical one.
Appendix
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Footnotes
1
Cut-off points of the mortality cohort: very low level: 0–47.80; low level: 48.81–58.13; moderate level: 58.14–66.74; high level: 66.75–78.08; very high level: 78.09–100. Cut-off points of the dependence cohort: very low level: 0–47.02; low level:47.03–56.53; moderate level: 56.54–65.12; high level: 65.13–73.83; very high level: 73.84–100.
 
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Metadata
Title
Healthy ageing and the prediction of mortality and incidence dependence in low- and middle- income countries: a 10/66 population-based cohort study
Authors
Christina Daskalopoulou
Martin Prince
Artemis Koukounari
Josep Maria Haro
Demosthenes B. Panagiotakos
A. Matthew Prina
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Medical Research Methodology / Issue 1/2019
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/s12874-019-0850-5

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