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Published in: BMC Medicine 1/2015

Open Access 01-12-2015 | Research article

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

Authors: Jotheeswaran AT, Renata Bryce, Matthew Prina, Daisy Acosta, Cleusa P Ferri, Mariella Guerra, Yueqin Huang, Juan J. Llibre Rodriguez, Aquiles Salas, Ana Luisa Sosa, Joseph D. Williams, Michael E. Dewey, Isaac Acosta, Zhaorui Liu, John Beard, Martin Prince

Published in: BMC Medicine | Issue 1/2015

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Abstract

Background

In countries with high incomes, frailty indicators predict adverse outcomes in older people, despite a lack of consensus on definition or measurement. We tested the predictive validity of physical and multidimensional frailty phenotypes in settings in Latin America, India, and China.

Methods

Population-based cohort studies were conducted in catchment area sites in Cuba, Dominican Republic, Venezuela, Mexico, Peru, India, and China. Seven frailty indicators, namely gait speed, self-reported exhaustion, weight loss, low energy expenditure, undernutrition, cognitive, and sensory impairment were assessed to estimate frailty phenotypes. Mortality and onset of dependence were ascertained after a median of 3.9 years.

Results

Overall, 13,924 older people were assessed at baseline, with 47,438 person-years follow-up for mortality and 30,689 for dependence. Both frailty phenotypes predicted the onset of dependence and mortality, even adjusting for chronic diseases and disability, with little heterogeneity of effect among sites. However, population attributable fractions (PAF) summarising etiologic force were highest for the aggregate effect of the individual indicators, as opposed to either the number of indicators or the dichotomised frailty phenotypes. The aggregate of all seven indicators provided the best overall prediction (weighted mean PAF 41.8 % for dependence and 38.3 % for mortality). While weight loss, underactivity, slow walking speed, and cognitive impairment predicted both outcomes, whereas undernutrition predicted only mortality and sensory impairment only dependence. Exhaustion predicted neither outcome.

Conclusions

Simply assessed frailty indicators identify older people at risk of dependence and mortality, beyond information provided by chronic disease diagnoses and disability. Frailty is likely to be multidimensional. A better understanding of the construct and pathways to adverse outcomes could inform multidimensional assessment and intervention to prevent or manage dependence in frail older people, with potential to add life to years, and years to life.
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Metadata
Title
Frailty and the prediction of dependence and mortality in low- and middle-income countries: a 10/66 population-based cohort study
Authors
Jotheeswaran AT
Renata Bryce
Matthew Prina
Daisy Acosta
Cleusa P Ferri
Mariella Guerra
Yueqin Huang
Juan J. Llibre Rodriguez
Aquiles Salas
Ana Luisa Sosa
Joseph D. Williams
Michael E. Dewey
Isaac Acosta
Zhaorui Liu
John Beard
Martin Prince
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Medicine / Issue 1/2015
Electronic ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-015-0378-4

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