Evidence map›Paper›PMID 37544315›Full record

ArticleThe lancet. Healthy longevity2023

Negative wealth shocks in later life and subsequent cognitive function in older adults in China, England, Mexico, and the USA, 2012-18: a population-based, cross-nationally harmonised, longitudinal study.

Tsai-Chin Cho, Xuexin Yu, Alden L Gross, Yuan S Zhang, Jinkook Lee, Kenneth M Langa, Lindsay C Kobayashi

Open access · goldAbstract read
In one paragraph

Article in The lancet. Healthy longevity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
23.5field-weighted citation impact, top 1% of its field
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

19 citing papers in PubMed, 27 citations in OpenAlex.

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  14. [Longitudinal Transitions of Fall States Based on a Multi-State Markov Model and Their Associated Risk Factors].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
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  16. Age differences in the change in cognition after stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Tsai-Chin ChoCenter for Social Epidemiology and Population Health, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Xuexin YuCenter for Social Epidemiology and Population Health, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Alden L GrossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health and Johns Hopkins University Center on Aging and Health, Baltimore, MD, USA.
Yuan S ZhangRobert N. Butler Columbia Aging Center, Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Jinkook LeeCenter for Economic and Social Research and Department of Economics, University of Southern California, Los Angeles, CA, USA.
Kenneth M LangaDepartment of Internal Medicine, School of Medicine, University of Michigan Institute for Social Research, University of Michigan, Ann Arbor, MI, USA; Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Lindsay C KobayashiCenter for Social Epidemiology and Population Health, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: lkob@umich.edu.
University of Michigan · USColumbia University · USJohns Hopkins University · USUniversity of Southern California · USVA Center for Clinical Management Research · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Statistical Data EnclaveP30AG012846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VICKI A. FREEDMAN · 1999 to 2026
$23.2M
Health and Retirement Study: Harmonized Cognitive Assessment Protocol (HCAP)U01AG058499 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGA, KENNETH M · 2018 to 2023
$8.3M
Socioeconomic, Cardiovascular, and Psychosocial Sources of Cross-National Variation in Cognitive Health Among Older AdultsR01AG070953 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alden L. Gross, Lindsay C Kobayashi · 2021 to 2026
$4.6M
Cumulative socioeconomic exposures, cash transfer interventions, and later-life cognitive decline and dementia risk in a low-income region of South AfricaR01AG069128 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI Lindsay C Kobayashi, Molly Sears Rosenberg · 2020 to 2026
$4.1M
A cross-national comparative study on cardiometabolic risk, education, and cognitive agingR00AG070274 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, YUAN S · 2023 to 2025
$721k
A cross-national comparative study on cardiometabolic risk, education, and cognitive agingK99AG070274 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZHANG, YUAN S · 2021 to 2022
$191k
NIA NIH HHS K99 AG070274NIA NIH HHS P30 AG012846NIA NIH HHS R00 AG070274NIA NIH HHS R01 AG030153NIA NIH HHS R01 AG069128NIA NIH HHS R01 AG070953NIA NIH HHS U01 AG009740NIA NIH HHS U01 AG058499
6 · The paper itself

Abstract

backgroundHousehold wealth is positively related to cognitive health outcomes in later life. However, the association between negative wealth shocks and cognitive function in later life, and whether this association might differ across countries at different levels of economic development, is unclear. We aimed to investigate whether negative wealth shocks in later life are associated with cognitive function in older adults in China, England, Mexico, and the USA, and whether this association is modified by country income level.

methodsFor this population-based, cross-nationally harmonised, longitudinal study, data were analysed from core interviews of the population-based US Health and Retirement Study (2012 and 2016) and its partner studies in China (the China Health and Retirement Longitudinal Study; 2015 and 2018), England (the English Longitudinal Study of Ageing; 2012 and 2016), and Mexico (Mexican Health and Aging Study; 2012 and 2015-16), and their respective Harmonized Cognitive Assessment Protocols (HCAPs). Negative wealth shocks over the follow-up periods of the respective cohorts were defined in two ways: an extreme loss of 75% or greater from the baseline amount of wealth, and a decline in within-population wealth quintile rank. The primary outcome was the harmonised general cognitive function (GCF) factor score, which was constructed with factor analysis on the HCAP neuropsychological assessments of memory, orientation, attention, executive function, and verbal fluency performance (mean 0; SD 1). We used sampling-weighted, multivariable-adjusted linear models to examine associations.

findingsData from 9465 participants were included in this analysis: 3796 from China, 1184 from England, 1193 from Mexico, and 3292 from the USA. The mean baseline age of participants was 68·5 (SD 5·4) years in China (49·8% women), 72·0 (7·0) years in England (54·6% women), 70·6 (6·8) years in Mexico (55·1% women), and 72·7 (7·5) years in the USA (60·4% women). A wealth loss of 75% or greater was negatively associated with subsequent cognitive function in the USA (β -0·16 SD units; 95% CI -0·29 to -0·04) and China (-0·14; -0·21 to -0·07), but not in England (-0·01; -0·24 to 0·22) or Mexico (-0·11; -0·24 to 0·03). Similarly, within-population wealth quintile rank declines were negatively associated with subsequent cognitive function in the USA (β -0·07 per quintile rank decline; 95% CI -0·11 to -0·03) and China (β -0·07; -0·09 to -0·04), but not in England (-0·05; -0·11 to 0·01) or Mexico (-0·03; -0·07 to 0·01).

interpretationThe impact of wealth shocks in later life on subsequent lower level of cognitive function of older adults in China, England, Mexico, and the USA differed across macro-level socioeconomic structures. These findings suggest that government policies and social safety nets in countries with different levels of economic development might have a role in protecting older adults from adverse health effects of wealth losses in later life.

fundingUS National Institute on Aging, US National Institutes of Health.

Indexed as

AgingCognitionAgedFemaleHumansLongitudinal StudiesMaleMexicoSocioeconomic Factors

Identifiers

PMID37544315
PMCPMC10529910
OpenAlexW4385515604

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.