Socioeconomic inequalities in physical and cognitive functioning: cross-sectional evidence from 37 cohorts across 28 countries in the ATHLOS project.


Journal

Journal of epidemiology and community health
ISSN: 1470-2738
Titre abrégé: J Epidemiol Community Health
Pays: England
ID NLM: 7909766

Informations de publication

Date de publication:
10 2021
Historique:
received: 25 05 2020
revised: 28 01 2021
accepted: 15 02 2021
pubmed: 3 3 2021
medline: 25 2 2023
entrez: 2 3 2021
Statut: ppublish

Résumé

Physical and cognitive functioning in older age follows a socioeconomic gradient but it is unclear whether the strength of the association differs between populations. Using harmonised data from an international collaboration of cohort studies, we assessed socioeconomic inequalities in physical and cognitive functioning and explored if the extent of inequalities varied across countries based on their economic strength or wealth distribution. Harmonised data from 37 population-based cohorts in 28 countries were used, with an overall sample size of 126 765. Socioeconomic position of participants was indicated by education and household income. Physical functioning was assessed by self-reported mobility and activities of daily living; and cognitive functioning by memory and verbal fluency tests. Relative (RII) and slope (SII) index of inequality were calculated in each cohort, and their association with the source country's Gross Domestic Product (GDP) and Gini-index was assessed with correlation and cross-level interaction in multilevel models. RII and SII values indicated consistently higher risk of low physical and cognitive functioning in participants with lower education or income across cohorts. Regarding RII, there were weak but statistically significant correlations and interactions with GDP and Gini-index, suggesting larger inequalities in countries with lower Gini-index and higher GDP. For SII, no such correlations were observed. This study confirms that socioeconomic inequalities in physical and cognitive functioning exist across different social contexts but the magnitude of these inequalities varies. Relative inequalities appear to be larger in higher-income countries but it remains to be seen whether such observation can be replicated.

Sections du résumé

BACKGROUND
Physical and cognitive functioning in older age follows a socioeconomic gradient but it is unclear whether the strength of the association differs between populations. Using harmonised data from an international collaboration of cohort studies, we assessed socioeconomic inequalities in physical and cognitive functioning and explored if the extent of inequalities varied across countries based on their economic strength or wealth distribution.
METHODS
Harmonised data from 37 population-based cohorts in 28 countries were used, with an overall sample size of 126 765. Socioeconomic position of participants was indicated by education and household income. Physical functioning was assessed by self-reported mobility and activities of daily living; and cognitive functioning by memory and verbal fluency tests. Relative (RII) and slope (SII) index of inequality were calculated in each cohort, and their association with the source country's Gross Domestic Product (GDP) and Gini-index was assessed with correlation and cross-level interaction in multilevel models.
RESULTS
RII and SII values indicated consistently higher risk of low physical and cognitive functioning in participants with lower education or income across cohorts. Regarding RII, there were weak but statistically significant correlations and interactions with GDP and Gini-index, suggesting larger inequalities in countries with lower Gini-index and higher GDP. For SII, no such correlations were observed.
CONCLUSION
This study confirms that socioeconomic inequalities in physical and cognitive functioning exist across different social contexts but the magnitude of these inequalities varies. Relative inequalities appear to be larger in higher-income countries but it remains to be seen whether such observation can be replicated.

Identifiants

pubmed: 33649052
pii: jech-2020-214714
doi: 10.1136/jech-2020-214714
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

980-986

Informations de copyright

© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Denes Stefler (D)

Department of Epidemiology and Public Health, University College London, London, UK denes.stefler@ucl.ac.uk.

Matthew Prina (M)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Yu-Tzu Wu (YT)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Albert Sánchez-Niubò (A)

Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Deu, Sant Boi de Llobregat, Barcelona, Spain.
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.

Wentian Lu (W)

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

Josep Maria Haro (JM)

Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Deu, Sant Boi de Llobregat, Barcelona, Spain.
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.

Michael Marmot (M)

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

Martin Bobak (M)

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

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