Evidence map›Paper›PMID 41573346›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Psychometric Properties of the UCSF Fein MAC Educational & Developmental History Questionnaire:: A Novel Screening Tool for Capturing Early Life Learning Profiles Across Healthy Aging and Dementia Populations.

Ezra Mauer, Isabel E Allen, Rian Bogley, Ryan Newbury, Valentina Diaz, Kaitlin B Casaletto, Maxime Montembeault, Katherine P Rankin, Renaud La Joie, Jacob Ziontz and 7 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Ezra MauerDyslexia Center, Departments of Neurology and Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco.ORCID 0000-0002-5847-7819
Isabel E AllenDepartment of Biostatistics, University of California, San Francisco.
Rian BogleyDyslexia Center, Departments of Neurology and Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco.
Ryan NewburyDyslexia Center, Departments of Neurology and Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco.
Valentina DiazEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco.
Kaitlin B CasalettoEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco.
Maxime MontembeaultDouglas Research Centre, Department of Psychiatry, McGill University.
Katherine P RankinEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco.
Renaud La JoieEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco.
Jacob ZiontzEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco.
William J JagustDepartment of Neuroscience, University of California, Berkeley.
Gil D RabinoviciEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco.
Howard J RosenEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco.
Joel H KramerEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco.
Bruce L MillerEdward and Pearl Fein Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco.
Maria Luisa Gorno-TempiniDyslexia Center, Departments of Neurology and Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco.
Zachary A MillerDyslexia Center, Departments of Neurology and Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco.

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Serggio Carlo Lanata · 2019 to 2026
$36.9M
PrPSc SPECIFIC INTERACTION WITH NOVEL PrP-Fc FUSION PROTEINSP50AG023501 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MILLER, BRUCE L · 2004 to 2018
$27.1M
Neural and Biochemical Mechanisms of Cognitive AgingR01AG034570 · NIA · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI William J. Jagust · 2009 to 2026
$12.0M
Progressive Aphasia Cognition Anatomy and ProgressionR01NS050915 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARIA LUISA GORNO TEMPINI · 2004 to 2026
$11.0M
Mechanisms of Executive Decline in Normal AgingR01AG032289 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kaitlin B Casaletto, JOEL H KRAMER · 2009 to 2026
$8.3M
Multidisciplinary Research Fellowship in Alzheimer’s disease and Related DementiasT32AG023481 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRUCE L MILLER, HOWARD J ROSEN · 2005 to 2026
$7.4M
US-South American Initiative for Genetic-Neural-Behavioral Interactions in Human Neurodegenerative ResearchR01AG057234 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Claudia Duran-Aniotz, Agustin M. Ibanez · 2019 to 2026
$6.1M
Biological Predictors Of Brain Aging Trajectories Diversity Supplement: African American Outreach And The Intersection Between Social Determinants Of Health And Biomarkers Of Degenerative DiseaseRF1AG032289 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRAMER, JOEL H · 2020 to 2021
$5.3M
Primary Progressive Aphasia: Cognition, Anatomy and ProgressionRF1NS050915 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2022 to 2022
$4.7M
Early Age-of-Onset AD: Clinical Heterogeneity and Network DegenerationR01AG045611 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RABINOVICI, GIL DAN · 2014 to 2018
$3.1M
Training program in the neurology of language and neurodegenerative aphasiasK24DC015544 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2016 to 2025
$1.9M
NIA NIH HHS K23 AG048291NIA NIH HHS P01 AG019724NIA NIH HHS P30 AG062422NIA NIH HHS P50 AG023501NIA NIH HHS R01 AG032289NIA NIH HHS R01 AG034570NIA NIH HHS R01 AG045611NIA NIH HHS R01 AG057234NIA NIH HHS RF1 AG032289NIA NIH HHS T32 AG023481NIDCD NIH HHS K24 DC015544NINDS NIH HHS R01 NS050915NINDS NIH HHS R56 NS050915NINDS NIH HHS RF1 NS050915
6 · The paper itself

Abstract

Background: Increasing evidence suggests that neurodevelopmental differences substantially alter the expression and course of later-life neurodegenerative diseases. Standard approaches for determining early-life neurodevelopmental differences in aging populations rely largely on chart-based reviews, which poses a methodological challenge due to the varied quality and completeness of medical records. To overcome this limitation, we created the novel Educational & Developmental History (EDevHx) form, a retrospective questionnaire designed to capture early developmental features. Here, we evaluated its psychometric properties among a large sample of cognitively unimpaired, aging adults. Methods: The EDevHx was completed by 677 clinically normal adults aged 46-95 years who underwent standard evaluations to establish their cognitively healthy status. Results: EDevHx items grouped into hypothesized domains (Language, Motor, Visuospatial/Mathematical, Attention, Social) significantly loaded onto their associated domains via confirmatory factor analysis. For each factor, the associated items significantly related to the factor while holding other items constant, indicating a lack of redundancy. Multidimensional scaling analysis showed items were visually grouped within hypothesized domains. Each factor demonstrated acceptable internal consistency. Test-retest reliability ranged from moderate to good, except for the Social factor's, which was poor. Each factor (as well as two items theorized not to map onto any hypothesized domain) demonstrated convergent/divergent validity with validated questionnaires/neurocognitive tests. Conclusion: The EDevHx tool represents an easily scalable and robust method for capturing early developmental features among aging populations. The present study demonstrates its strong psychometric properties, supporting its immediate and widespread integration into clinical and research practices alike.

Indexed as

Cognitive AgingDementiaHand PreferenceLearning DisabilityNeurodevelopmental Differences

Identifiers

PMID41573346
PMCPMC12822789

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.