Literature DB >> 33649052

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

Denes Stefler1, Matthew Prina2, Yu-Tzu Wu2, Albert Sánchez-Niubò3,4, Wentian Lu5, Josep Maria Haro3,4, Michael Marmot5, Martin Bobak5.   

Abstract

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. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  ageing; cognition; physical function; social inequalities

Year:  2021        PMID: 33649052     DOI: 10.1136/jech-2020-214714

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  4 in total

1.  Island Study Linking Aging and Neurodegenerative Disease (ISLAND) Targeting Dementia Risk Reduction: Protocol for a Prospective Web-Based Cohort Study.

Authors:  Larissa Bartlett; Kathleen Doherty; Maree Farrow; Sarang Kim; Edward Hill; Anna King; Jane Alty; Claire Eccleston; Alex Kitsos; Aidan Bindoff; James C Vickers
Journal:  JMIR Res Protoc       Date:  2022-03-01

2.  Investigating cognition in midlife.

Authors:  Jan S Novotný; Juan P Gonzalez-Rivas; Jose R Medina-Inojosa; Francisco Lopez-Jimenez; Yonas E Geda; Gorazd B Stokin
Journal:  Alzheimers Dement (N Y)       Date:  2021-12-31

3.  Aging and self-reported health in 114 Latin American cities: gender and socio-economic inequalities.

Authors:  Marianela Castillo-Riquelme; Goro Yamada; Ana V Diez Roux; Tania Alfaro; Sandra Flores-Alvarado; Tonatiuh Barrientos; Camila Teixeira Vaz; Andrés Trotta; Olga L Sarmiento; Mariana Lazo
Journal:  BMC Public Health       Date:  2022-08-05       Impact factor: 4.135

4.  Residential Area Socioeconomic Deprivation is Associated with Physical Dependency and Polypharmacy in Community-Dwelling Older Adults: An Analysis of Health Administrative Data in Ireland.

Authors:  Lauren Swan; N Frances Horgan; Chie Wei Fan; Austin Warters; Maria O'Sullivan
Journal:  J Multidiscip Healthc       Date:  2022-09-02
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.