Evidence map›Paper›PMID 39099175›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Development and assessment of analytic methods to improve the measurement of cognition in longitudinal studies of aging through the use of substudies with comprehensive neuropsychological testing.

Emma Nichols, Richard N Jones, Alden L Gross, Shabina Hayat, Paola Zaninotto, Jinkook Lee

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

6 authors.

Emma NicholsCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-9005-3872
Richard N JonesDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA.
Alden L GrossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Shabina HayatDepartment of Epidemiology and Public Health, UCL, London, London, UK.
Paola ZaninottoDepartment of Epidemiology and Public Health, UCL, London, London, UK.
Jinkook LeeCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
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
Biomarkers of neurodegeneration in the US and India: A cross-national evaluation of the biological underpinnings of ADRDRF1AG088003 · NIA · JOHNS HOPKINS UNIVERSITY · PI CRIMMINS, EILEEN M, GROSS, ALDEN L. · 2024 to 2024
$2.4M
Economic and Social Research Council (ESRC)National Institute for Health Research (NIHR) 198-1074National Institute on Aging (NIA) R01AG017644NIA NIH HHS R01 AG017644NIA NIH HHS R01 AG030153NIA NIH HHS R01 AG070953NIA NIH HHS RF1 AG088003NIH HHS R01AG030153NIH HHS R01AG070953
6 · The paper itself

Abstract

introductionThe Health and Retirement Study International Partner Surveys (HRS IPS) have rich longitudinal data, but the brevity of cognitive batteries is a limitation.

methodsWe used data from a substudy of the English Longitudinal Study of Ageing (ELSA) administering detailed cognitive assessments with the Harmonized Cognitive Assessment Protocol (ELSA-HCAP) (N = 1273) to inform approaches for estimating cognition in ELSA (N = 11,213). We compared two novel approaches: confirmatory factor analysis (CFA)- and regression-based prediction.

resultsCompared to estimates from the full HCAP battery, estimated cognitive functioning derived using regression models or CFA had high correlations (regression: r = 0.85 [95% confidence interval [CI]: 0.83 to 0.87]; CFA: r = 0.83 [95% CI: 0.81 to 0.85]) and reasonable mean squared error (regression: 0.25 [0.22 to 0.27]; CFA: 0.29 [0.26 to 0.32]) in held-out data. The use of additional items from waves 7 to 9 improved performance. DISCUSSION: Both approaches are recommended for future research; the similarity in approaches may be due to the brevity of available cognitive assessments in ELSA. HIGHLIGHTS: Estimates of cognitive functioning informed by English Longitudinal Study of Ageing-Harmonized Cognitive Assessment Protocol (ELSA-HCAP) data had an adequate performance. Standard errors were smaller for associations with example risks when using measures informed by ELSA-HCAP. Performance was better when including additional cognitive measures available in waves 7 to 9. Conceptual advantages to the confirmatory factor analysis (CFA) approach were not important in practice due to the brevity of the ELSA cognitive battery.

Indexed as

AgingCognitionNeuropsychological TestsAgedFactor Analysis, StatisticalFemaleHumansLongitudinal StudiesMaleMiddle Agedbiascognitiondementialongitudinalmeasurementsurvey development

Identifiers

PMID39099175
PMCPMC11485300

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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.