Evidence map›Paper›PMID 31801473›Full record

ArticleBMC medical research methodology2019

Development of a healthy ageing index in Latin American countries - a 10/66 dementia research group population-based study.

Christina Daskalopoulou, Kia-Chong Chua, Artemis Koukounari, Francisco Félix Caballero, Martin Prince, A Matthew Prina

Abstract read
In one paragraph

Article in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  7. Housing Poverty and Healthy Aging in China: Evidence from the China Health and Retirement Longitudinal Study.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Christina DaskalopoulouDepartment of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK. christina.daskalopoulou@kcl.ac.uk.ORCID 0000-0002-4328-2672
Kia-Chong ChuaDepartment of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK.
Artemis KoukounariDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, Faculty of Epidemiology and Population Health, London, WC1E 7HT, UK.
Francisco Félix CaballeroDepartment of Psychiatry, Universidad Autónoma de Madrid, 4 Arzobispo Morcillo, 28029, Madrid, Spain.
Martin PrinceDepartment of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK.
A Matthew PrinaDepartment of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK.

Funding

Medical Research Council MR/K021907/1Wellcome TrustWellcome Trust GR066133Wellcome Trust GR080002
6 · The paper itself

Abstract

backgroundOur 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.

methodsThe 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.

resultsThe 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

conclusionsA 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.

Indexed as

Health StatusHealthy AgingSurvival AnalysisAgedCohort StudiesCubaDementiaDominican RepublicHumansIncidenceIncomeLatin AmericaMexicoPeruPredictive Value of TestsProportional Hazards Models10/66Bifactor modelHealthy ageing metricMeasurement invariancePsychometric properties

Identifiers

PMID31801473
PMCPMC6894331

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.