Development of a common scale for measuring healthy ageing across the world: results from the ATHLOS consortium.

Healthy ageing data integration functional ability intrinsic capacity item response theory scale

Journal

International journal of epidemiology
ISSN: 1464-3685
Titre abrégé: Int J Epidemiol
Pays: England
ID NLM: 7802871

Informations de publication

Date de publication:
09 07 2021
Historique:
accepted: 23 10 2020
pubmed: 5 12 2020
medline: 31 7 2021
entrez: 4 12 2020
Statut: ppublish

Résumé

Research efforts to measure the concept of healthy ageing have been diverse and limited to specific populations. This diversity limits the potential to compare healthy ageing across countries and/or populations. In this study, we developed a novel measurement scale of healthy ageing using worldwide cohorts. In the Ageing Trajectories of Health-Longitudinal Opportunities and Synergies (ATHLOS) project, data from 16 international cohorts were harmonized. Using ATHLOS data, an item response theory (IRT) model was used to develop a scale with 41 items related to health and functioning. Measurement heterogeneity due to intra-dataset specificities was detected, applying differential item functioning via a logistic regression framework. The model accounted for specificities in model parameters by introducing cohort-specific parameters that rescaled scores to the main scale, using an equating procedure. Final scores were estimated for all individuals and converted to T-scores with a mean of 50 and a standard deviation of 10. A common scale was created for 343 915 individuals above 18 years of age from 16 studies. The scale showed solid evidence of concurrent validity regarding various sociodemographic, life and health factors, and convergent validity with healthy life expectancy (r = 0.81) and gross domestic product (r = 0.58). Survival curves showed that the scale could also be predictive of mortality. The ATHLOS scale, due to its reliability and global representativeness, has the potential to contribute to worldwide research on healthy ageing.

Sections du résumé

BACKGROUND
Research efforts to measure the concept of healthy ageing have been diverse and limited to specific populations. This diversity limits the potential to compare healthy ageing across countries and/or populations. In this study, we developed a novel measurement scale of healthy ageing using worldwide cohorts.
METHODS
In the Ageing Trajectories of Health-Longitudinal Opportunities and Synergies (ATHLOS) project, data from 16 international cohorts were harmonized. Using ATHLOS data, an item response theory (IRT) model was used to develop a scale with 41 items related to health and functioning. Measurement heterogeneity due to intra-dataset specificities was detected, applying differential item functioning via a logistic regression framework. The model accounted for specificities in model parameters by introducing cohort-specific parameters that rescaled scores to the main scale, using an equating procedure. Final scores were estimated for all individuals and converted to T-scores with a mean of 50 and a standard deviation of 10.
RESULTS
A common scale was created for 343 915 individuals above 18 years of age from 16 studies. The scale showed solid evidence of concurrent validity regarding various sociodemographic, life and health factors, and convergent validity with healthy life expectancy (r = 0.81) and gross domestic product (r = 0.58). Survival curves showed that the scale could also be predictive of mortality.
CONCLUSIONS
The ATHLOS scale, due to its reliability and global representativeness, has the potential to contribute to worldwide research on healthy ageing.

Identifiants

pubmed: 33274372
pii: 6020095
doi: 10.1093/ije/dyaa236
pmc: PMC8271194
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

880-892

Subventions

Organisme : World Health Organization
ID : 001
Pays : International
Organisme : NIA NIH HHS
ID : R01 AG018016
Pays : United States

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the International Epidemiological Association.

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Auteurs

Albert Sanchez-Niubo (A)

Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.
Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.

Carlos G Forero (CG)

Department of Medicine, International University of Catalunya, Barcelona, Spain.

Yu-Tzu Wu (YT)

Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.

Iago Giné-Vázquez (I)

Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.
Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.

Matthew Prina (M)

Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Global Health Institute, King's College London, London, UK.

Javier De La Fuente (J)

Department of Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain.
Instituto de Investigación Sanitaria Princesa (IIS Princesa), Hospital Universitario de La Princesa, Madrid, Spain.

Christina Daskalopoulou (C)

Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.

Elena Critselis (E)

Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, Athens, Greece.

Alejandro De La Torre-Luque (A)

Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.
Department of Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain.
Instituto de Investigación Sanitaria Princesa (IIS Princesa), Hospital Universitario de La Princesa, Madrid, Spain.

Demosthenes Panagiotakos (D)

Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, Athens, Greece.

Holger Arndt (H)

Spring Techno GMBH & Co. KG, Bremen, Germany.

José Luis Ayuso-Mateos (JL)

Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.
Department of Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain.
Instituto de Investigación Sanitaria Princesa (IIS Princesa), Hospital Universitario de La Princesa, Madrid, Spain.

Ivet Bayes-Marin (I)

Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.
Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.

Jerome Bickenbach (J)

Swiss Paraplegic Research, Guido A. Zäch Institute (GZI), Nottwil, Switzerland.
Department of Health Sciences & Health Policy, University of Lucerne, Lucerne, Switzerland.

Martin Bobak (M)

Department of Epidemiology and Public Health, University College London, London, UK.

Francisco Félix Caballero (FF)

Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid/Idipaz, Madrid, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.

Somnath Chatterji (S)

Information, Evidence and Research, World Health Organization, Geneva, Switzerland.

Laia Egea-Cortés (L)

Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.

Esther García-Esquinas (E)

Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid/Idipaz, Madrid, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.

Matilde Leonardi (M)

Neurology, Public Health, Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Seppo Koskinen (S)

Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.

Ilona Koupil (I)

Department of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.

Blanca Mellor-Marsá (B)

Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.
Sanitary Research Institute, Hospital Clínico San Carlos, Madrid, Spain.

Beatriz Olaya (B)

Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.
Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.

Andrzej Pająk (A)

Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland.

Martin Prince (M)

Global Health Institute, King's College London, London, UK.
Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.

Alberto Raggi (A)

Neurology, Public Health, Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Fernando Rodríguez-Artalejo (F)

Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid/Idipaz, Madrid, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.

Warren Sanderson (W)

Wittgenstein Centre for Demography and Global Human Capital, International Institute for Applied Systems Analysis, Laxenburg, Austria.
Department of Economics, Stony Brook University, Stony Brook, NY, USA.

Sergei Scherbov (S)

Wittgenstein Centre for Demography and Global Human Capital, International Institute for Applied Systems Analysis, Laxenburg, Austria.
Austrian Academy of Science, Vienna Institute of Demography, Vienna, Austria.
International Laboratory of Demography and Human Capital, Russian Presidential Academy of National Economy and Public Administration, Moscow, Russian Federation.

Abdonas Tamosiunas (A)

Department of Population Studies Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania.

Beata Tobias-Adamczyk (B)

Department of Medical Sociology, Jagiellonian University Medical College, Krakow, Poland.
Department of Epidemiology, Jagiellonian University Medical College, Krakow, Poland.

Stefanos Tyrovolas (S)

Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.
Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.

Josep Maria Haro (JM)

Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.
Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.

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