Evidence map›Paper›PMID 31363117›Full record

ArticleScientific reports2019

Healthy ageing trajectories and lifestyle behaviour: the Mexican Health and Aging Study.

Christina Daskalopoulou, Artemis Koukounari, Yu-Tzu Wu, Graciela Muniz Terrera, Francisco Félix Caballero, Javier de la Fuente, Stefanos Tyrovolas, Demosthenes B Panagiotakos, Martin Prince, Matthew Prina

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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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

10 authors.

Christina DaskalopoulouDepartment of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK. christina.daskalopoulou@kcl.ac.uk.ORCID http://orcid.org/0000-0002-4328-2672
Artemis KoukounariDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, Faculty of Epidemiology and Population Health, London, UK.
Yu-Tzu WuDepartment of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Graciela Muniz TerreraCentre for Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Francisco Félix CaballeroDepartment of Preventive Medicine and Public Health and Microbiology, Universidad Autónoma de Madrid, Madrid, Spain.
Javier de la FuenteHospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS Princesa), Madrid, Spain.
Stefanos TyrovolasParc Sanitari Sant Joan de Déu, Universitat de Barcelona. Fundació Sant Joan de Déu, Dr Antoni Pujades, 42, 08830, Sant Boi de Llobregat, Barcelona, Spain.
Demosthenes B PanagiotakosDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece.ORCID http://orcid.org/0000-0001-8583-153X
Martin PrinceDepartment of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Matthew PrinaDepartment of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.

Funding

The Mexican Health and Aging Study - IIR01AG018016 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Rebeca Wong · 1999 to 2026
$22.6M
NIA NIH HHS R01 AG018016
6 · The paper itself

Abstract

Projections show that the number of people above 60 years old will triple by 2050 in Mexico. Nevertheless, ageing is characterised by great variability in the health status. In this study, we aimed to identify trajectories of health and their associations with lifestyle factors in a national representative cohort study of older Mexicans. We used secondary data of 14,143 adults from the Mexican Health and Aging Study (MHAS). A metric of health, based on the conceptual framework of functional ability, was mapped onto four waves (2001, 2003, 2012, 2015) and created by applying Bayesian multilevel Item Response Theory (IRT). Conditional Growth Mixture Modelling (GMM) was used to identify latent classes of individuals with similar trajectories and examine the impact of physical activity, smoking and alcohol on those. Conditional on sociodemographic and lifestyle behaviour four latent classes were suggested: high-stable, moderate-stable, low-stable and decliners. Participants who did not engage in physical activity, were current or previous smokers and did not consume alcohol at baseline were more likely to be in the trajectory with the highest deterioration (i.e. decliners). This study confirms ageing heterogeneity and the positive influence of a healthy lifestyle. These results provide the ground for new policies.

Indexed as

Health StatusHealthy AgingAgedAlcohol DrinkingExerciseFemaleHumansMaleMexicoMiddle AgedSmokingSocioeconomic Factors

Identifiers

PMID31363117
PMCPMC6667468

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Registered trials

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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.